@article {679, title = {Gait variability in community-dwelling older adults.}, journal = {J Am Geriatr Soc}, volume = {49}, year = {2001}, month = {2001 Dec}, pages = {1646-50}, abstract = {

OBJECTIVES: To describe gait variability at usual and fast walking speeds in community-dwelling older adults and to describe the effects of increasing gait speed on gait variability.

DESIGN: Cross-sectional, descriptive study.

SETTING: The Cardiovascular Health Study at the University of Pittsburgh.

PARTICIPANTS: Ninety-five community-living older adults, 54 women and 41 men, age 65 and older (mean age +/- standard deviation 79.4 +/- 3.37).

MEASUREMENTS: Gait measured at participant{\textquoteright}s usual and fast walking speed collected using an instrumented walkway. Step-length and step-width variability were determined using the coefficient of variation.

RESULTS: Step-length variability was greatest in those who walked the slowest (r = -0.66, P < .001); step-width variability was smallest in those who walked the slowest (r -0.37, P < .001). Individuals who could not increase their walking speed (<0.10 m/second) on command had an increase in step-length variability and a decrease in step-width variability, whereas those who could increase their speed (>0.10 m/second) had an increase in step-width variability when walking at a faster speed.

CONCLUSIONS: Step-length and step-width variability have opposite associations with gait speed in older adults. Improvement in step-length and step-width variability with attempted acceleration might be a key factor to examine in future studies of disability risk and therapeutic interventions.

}, keywords = {Aged, Aged, 80 and over, Aging, Body Height, Body Weight, Cross-Sectional Studies, Disability Evaluation, Female, Gait, Humans, Male, Residence Characteristics, Risk Factors, Time Factors, Walking}, issn = {0002-8614}, doi = {10.1046/j.1532-5415.2001.t01-1-49274.x}, author = {Brach, J S and Berthold, R and Craik, R and VanSwearingen, J M and Newman, A B} } @article {685, title = {Glucose, blood pressure, and lipid control in older people with and without diabetes mellitus: the Cardiovascular Health Study.}, journal = {J Am Geriatr Soc}, volume = {50}, year = {2002}, month = {2002 Mar}, pages = {416-23}, abstract = {

OBJECTIVES: To determine the prevalence of cardiovascular risk-factor treatment and control in older adults with normal fasting glucose, impaired fasting glucose, and diabetes mellitus and whether those with diabetes mellitus had better risk factor control than older adults with normal fasting glucose.

DESIGN: Secondary analysis of data from population-based, prospective cohort study of risk factors for cardio-vascular and cerebrovascular disease in older people (Cardiovascular Health Study).

SETTING: Community-based.

PARTICIPANTS: Community-dwelling adults aged 65 and older.

MEASUREMENTS: Fasting plasma glucose, serum cholesterol and its subfractions, systolic and diastolic blood pressures, and body mass index.

RESULTS: There were 579 (18\%) cohort members with diabetes mellitus (77\% receiving antidiabetic medication, 23\% with fasting glucose > or =126 mg/dL and no treatment), 213 (6\%) with impaired fasting glucose, and 2,582 (77\%)with normal fasting glucose. Of diabetic participants, 12\% had recommended fasting glucose levels of less than 110 mg/dL. Of participants with hypertension, a larger proportion of diabetic participants than nondiabetic participants (89\% versus 75\%, P < .01) was treated with antihypertensive agents, but a smaller proportion of diabetic participants had recommended blood pressure levels of 129/85 mmHg or lower than nondiabetic participants had recommended blood pressure levels of 139/89 mmHg or lower (27\% vs 48\%, P < .01). Diabetic dyslipidemic participants were treated less often with lipid-lowering therapy (26\% versus 55\%, P < .01) and achieved recommended low-density lipoprotein goals less often (8\%versus 54\%, P < .01) than nondiabetic dyslipidemic participants.

CONCLUSIONS: Overall, treatment and control of cardiovascular risk factors were suboptimal in this older population, especially among those with diabetes mellitus. Optimizing risk-factor control can improve health outcomes in older adults with and without diabetes mellitus.

}, keywords = {Age Factors, Aged, Blood Glucose, Blood Pressure, Cardiovascular Diseases, Cholesterol, LDL, Cross-Sectional Studies, Diabetes Complications, Diabetes Mellitus, Female, Humans, Male, Prevalence, Prospective Studies, Risk Factors}, issn = {0002-8614}, doi = {10.1046/j.1532-5415.2002.50103.x}, author = {Smith, Nicholas L and Savage, Peter J and Heckbert, Susan R and Barzilay, Joshua I and Bittner, Vera A and Kuller, Lewis H and Psaty, Bruce M} } @article {883, title = {Genetic Susceptibility to Prostate Cancer: Prostate-specific Antigen and its Interaction with the Androgen Receptor (United States).}, journal = {Cancer Causes Control}, volume = {17}, year = {2006}, month = {2006 Mar}, pages = {187-97}, abstract = {

OBJECTIVE: To determine whether directly observed prostate-specific antigen (PSA) promoter diploid haplotype, either alone or in conjunction with androgen receptor (AR) genotype, is associated with prostate cancer risk.

METHODS: We conducted a case-control study nested within the US population-based Cardiovascular Health Study cohort. Incident prostate cancers were identified by linkage to cancer registry records for the years 1989-2000. We genotyped 193 cases and 391 controls for the PSA -252 G/A and -158 G/A SNPs and the AR CAG microsatellite, and developed methods to directly determine proximal PSA promoter haplotypes. Exact logistic regression was used to estimate odds ratios and significance levels.

RESULTS: No significant associations were observed between PSA diplotype and prostate cancer overall. Short (< 20) AR CAG repeat lengths were associated with modest increases in the risk of prostate cancer (OR, 1.46; 95\% CI, 0.97-2.19; p = 0.071) that were significant for advanced disease (OR, 1.82; 95\% CI, 1.02-3.26; p = 0.044). Men who possessed two copies of the PSA*2 (-252G/-158G) haplotype and short AR CAG repeat lengths had a 4-fold (95\% CI, 1.05-20.75; exact p = 0.040) increased risk of prostate cancer, and a 7-fold (95\% CI, 1.25-39.78; exact p = 0.026) increased risk of advanced disease.

CONCLUSIONS: We found evidence that the PSA*2*2 diplotype in combination with short AR CAG alleles increases a man{\textquoteright}s risk of developing prostate cancer. These findings support an etiologic role in prostate cancer of genetic interactions between polymorphisms that increase AR transactivation strength and those that alter the regulatory regions of target genes such as PSA that are responsive to androgen stimulation.

}, keywords = {Aged, Biomarkers, Tumor, Case-Control Studies, Cohort Studies, Genetic Predisposition to Disease, Genotype, Haplotypes, Humans, Male, Polymorphism, Genetic, Prostate-Specific Antigen, Prostatic Neoplasms, Receptors, Androgen, United States}, issn = {0957-5243}, doi = {10.1007/s10552-005-0454-8}, author = {Sieh, Weiva and Edwards, Karen L and Fitzpatrick, Annette L and Srinouanprachanh, Sengkeo L and Farin, Fred M and Monks, Stephanie A and Kronmal, Richard A and Eaton, David L} } @article {901, title = {Geographic variations in stroke incidence and mortality among older populations in four US communities.}, journal = {Stroke}, volume = {37}, year = {2006}, month = {2006 Aug}, pages = {1975-9}, abstract = {

BACKGROUND AND PURPOSE: Stroke is a leading cause of death and disability in the US. There is limited data on geographic variations in stroke incidence among older US populations who experience the majority of stroke burden. The purpose of this study was to compare stroke incidence and mortality rates in 4 US communities.

METHODS: Participants in the Cardiovascular Health Study (CHS) who had no history of stroke at baseline (n=5639) were followed for 10 or 7 years in predominantly white (n=5002) and black (n=637) participants, respectively. Incident stroke was validated by a stroke adjudication committee after ascertainment at annual visits, interim telephone contacts, and review of Medicare hospitalization data.

RESULTS: The 2000 US population age and sex standardized total stroke incidence rate for all CHS participants was 17.7 per 1000 person-years (95\% CI: 15.9, 19.5). The rate was significantly lower in Allegheny County, Pennsylvania 9.6/1000 person-years (95\% CI: 7.7, 11.5) than Forsyth County, North Carolina 19.2/1000 person-years (95\% CI: 15.6, 22.8), Sacramento County, California 20.7/1000 person-years (95\% CI: 16.9, 24.5), and Washington County, Maryland 19.8/1000 person-years (95\% CI: 16.1, 23.5). The lower stroke incidence rate in Allegheny County was consistent in gender, race, and age groups. Though not statistically significant, stroke mortality was also lower in Allegheny County than other 3 sites. The 1-month case fatality rate was similar in the 4 sites for all strokes, and by stroke types.

CONCLUSIONS: Understanding geographic variations in stroke incidence may be an important step in improving preventive practices of stroke.

}, keywords = {Aged, Aged, 80 and over, California, Female, Humans, Incidence, Male, Maryland, North Carolina, Pennsylvania, Stroke}, issn = {1524-4628}, doi = {10.1161/01.STR.0000231453.98473.67}, author = {El-Saed, Aiman and Kuller, Lewis H and Newman, Anne B and Lopez, Oscar and Costantino, Joseph and McTigue, Kathleen and Cushman, Mary and Kronmal, Richard} } @article {987, title = {Gait variability and the risk of incident mobility disability in community-dwelling older adults.}, journal = {J Gerontol A Biol Sci Med Sci}, volume = {62}, year = {2007}, month = {2007 Sep}, pages = {983-8}, abstract = {

BACKGROUND: Gait speed is a strong predictor of incident walking disability. The objective was to determine if gait variability adds to the prediction of incident mobility disability independent of gait speed.

METHODS: Participants included 379 older adults (mean age = 79 years; 78\% Caucasian, and 40\% men) in the Cardiovascular Health Study at the Pittsburgh site. All could ambulate independently and reported no difficulty walking a half mile. Gait characteristics were determined from a 4-meter computerized walkway. For each gait parameter, variability was defined as the standard deviation from the individual steps from two passes. Incident walking disability was obtained by phone interview every 6 months for 54 months and was defined as new difficulty walking a half mile or inability to walk a half mile.

RESULTS: Of the 379 participants, 222 (58.6\%) developed incident mobility disability. In unadjusted Cox proportional hazards models gait speed, mean step length, mean stance time, and stance time variability were associated with incident mobility disability. After adjusting for gait speed, demographics, chronic conditions, prescription medications, health status, and physical activity level, only stance time variability remained an important indicator of disability. In the adjusted model, an increase in stance time variability of 0.01 seconds was associated with a 13\% higher incidence of mobility disability (hazard ratio 1.13, 95\% confidence interval, 1.01-1.27).

CONCLUSIONS: Stance time variability is an independent predictor of future mobility disability. Future efforts are needed to determine whether interventions that decrease stance time variability will also delay mobility disability.

}, keywords = {Aged, Aged, 80 and over, Aging, Cohort Studies, Female, Gait, Gait Disorders, Neurologic, Humans, Male, Mobility Limitation, Prospective Studies, Risk Factors, Walking}, issn = {1079-5006}, doi = {10.1093/gerona/62.9.983}, author = {Brach, Jennifer S and Studenski, Stephanie A and Perera, Subashan and VanSwearingen, Jessie M and Newman, Anne B} } @article {1002, title = {Gait variability is associated with subclinical brain vascular abnormalities in high-functioning older adults.}, journal = {Neuroepidemiology}, volume = {29}, year = {2007}, month = {2007}, pages = {193-200}, abstract = {

BACKGROUND: Gait variability is an index of how much gait parameters, such as step length, change from one step to the next. Gait variability increases with age and in individuals affected by cortical and subcortical neurodegenerative conditions, and it is associated with falls and incident mobility disability. The brain anatomical correlates of gait variability have not been studied in high-functioning community-dwelling older adults.

METHODS: Gait variability and brain MRIs were assessed in a cohort of 331 men and women (mean age = 78.3 years) free from stroke, dementia or Parkinson{\textquoteright}s disease. Gait variability was computed for spatial parameters (step length and step width) and for temporal parameters (stance time). Subclinical brain vascular abnormalities were measured on brain MRIs as infarcts and white matter hyperintensities.

RESULTS: Greater variability of step length was associated with greater prevalence of infarcts, including infarcts in the basal ganglia, and with greater white matter hyperintensities severity, independent of age, gender, cognitive function and cardiovascular disease. Weaker associations were found between the other variability measures and the MRI measures.

CONCLUSION: In this group of older adults free from neurodegenerative diseases, a greater variability of step length was associated with greater burden of subclinical brain vascular abnormalities as defined by MRI.

}, keywords = {Accidental Falls, Activities of Daily Living, Aged, Aged, 80 and over, Basal Ganglia Cerebrovascular Disease, Brain, Cerebral Infarction, Comorbidity, Female, Gait Disorders, Neurologic, Geriatric Assessment, Health Surveys, Humans, Longitudinal Studies, Magnetic Resonance Imaging, Male, Mobility Limitation, Neurodegenerative Diseases, Neurologic Examination, Risk Factors, United States}, issn = {1423-0208}, doi = {10.1159/000111582}, author = {Rosano, Caterina and Brach, Jennifer and Studenski, Stephanie and Longstreth, W T and Newman, Anne B} } @article {989, title = {Genome-wide association of sleep and circadian phenotypes.}, journal = {BMC Med Genet}, volume = {8 Suppl 1}, year = {2007}, month = {2007 Sep 19}, pages = {S9}, abstract = {

BACKGROUND: Numerous studies suggest genetic influences on sleepiness and circadian rhythms. The Sleep Heart Health Study collected questionnaire data on sleep habits and sleepiness from 2848 Framingham Heart Study Offspring Cohort participants. More than 700 participants were genotyped using the Affymetrix 100K SNP GeneChip, providing a unique opportunity to assess genetic linkage and association of these traits.

METHODS: Sleepiness (defined as the Epworth Sleepiness Scale score), usual bedtime and usual sleep duration were assessed by self-completion questionnaire. Standardized residual measures adjusted for age, sex and BMI were analyzed. Multipoint variance components linkage analysis was performed. Association of SNPs to sleep phenotypes was analyzed with both population-based and family-based association tests, with analysis limited to 70,987 autosomal SNPs with minor allele frequency > or =10\%, call rate > or =80\%, and no significant deviation from Hardy-Weinberg equilibrium (p > or = 0.001).

RESULTS: Heritability of sleepiness was 0.29, bedtime 0.22, and sleep duration 0.17. Both genotype and sleep phenotype data were available for 749 subjects. Linkage analysis revealed five linkage peaks of LOD >2: four to usual bedtime, one to sleep duration. These peaks include several candidate sleep-related genes, including CSNK2A2, encoding a known component of the circadian molecular clock, and PROK2, encoding a putative transmitter of the behavioral circadian rhythm from the suprachiasmatic nucleus. Association tests identified an association of usual bedtime with a non-synonymous coding SNP in NPSR1 that has been shown to encode a gain of function mutation of the neuropeptide S receptor, whose endogenous ligand is a potent promoter of wakefulness. Each copy of the minor allele of this SNP was associated with a 15 minute later mean bedtime. The lowest p value was for association of sleepiness with a SNP located in an intron of PDE4D, which encodes a cAMP-specific phosphodiesterase widely expressed in human brain. Full association results are posted at http://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?id=phs000007 webcite.

CONCLUSION: This analysis confirms prior reports of significant heritability of sleepiness, usual bedtime, and usual sleep duration. Several genetic loci with suggestive linkage to these traits are identified, including linkage peaks containing circadian clock-related genes. Association tests identify NPSR1 and PDE4D as possible mediators of bedtime and sleepiness.

}, keywords = {Adult, Alleles, Cardiovascular Diseases, Circadian Rhythm, Cohort Studies, Female, Gene Frequency, Genetic Linkage, Genome, Human, Genotype, Humans, Male, Middle Aged, Phenotype, Polymorphism, Single Nucleotide, Sleep, Surveys and Questionnaires}, issn = {1471-2350}, doi = {10.1186/1471-2350-8-S1-S9}, author = {Gottlieb, Daniel J and O{\textquoteright}Connor, George T and Wilk, Jemma B} } @article {1064, title = {Gene variants associated with ischemic stroke: the cardiovascular health study.}, journal = {Stroke}, volume = {40}, year = {2009}, month = {2009 Feb}, pages = {363-8}, abstract = {

BACKGROUND AND PURPOSE: The purpose of this study was to determine whether 74 single nucleotide polymorphisms (SNPs), which had been associated with coronary heart disease, are associated with incident ischemic stroke.

METHODS: Based on antecedent studies of coronary heart disease, we prespecified the risk allele for each of the 74 SNPs. We used Cox proportional hazards models that adjusted for traditional risk factors to estimate the associations of these SNPs with incident ischemic stroke during 14 years of follow-up in a population-based study of older adults: the Cardiovascular Health Study (CHS).

RESULTS: In white CHS participants, the prespecified risk alleles of 7 of the 74 SNPs (in HPS1, ITGAE, ABCG2, MYH15, FSTL4, CALM1, and BAT2) were nominally associated with increased risk of stroke (one-sided P<0.05, false discovery rate=0.42). In black participants, the prespecified risk alleles of 5 SNPs (in KRT4, LY6G5B, EDG1, DMXL2, and ABCG2) were nominally associated with stroke (one-sided P<0.05, false discovery rate=0.55). The Val12Met SNP in ABCG2 was associated with stroke in both white (hazard ratio, 1.46; 90\% CI, 1.05 to 2.03) and black (hazard ratio, 3.59; 90\% CI, 1.11 to 11.6) participants of CHS. Kaplan-Meier estimates of the 10-year cumulative incidence of stroke were greater among Val allele homozygotes than among Met allele carriers in both white (10\% versus 6\%) and black (12\% versus 3\%) participants of CHS.

CONCLUSIONS: The Val12Met SNP in ABCG2 (encoding a transporter of sterols and xenobiotics) was associated with incident ischemic stroke in white and black participants of CHS.

}, keywords = {African Continental Ancestry Group, Aged, Alleles, Brain Ischemia, Cardiovascular Diseases, Coronary Disease, Ethnic Groups, European Continental Ancestry Group, Female, Gene Frequency, Genetic Variation, Humans, Kaplan-Meier Estimate, Male, Polymorphism, Single Nucleotide, Prospective Studies, Risk Factors, Stroke, United States}, issn = {1524-4628}, doi = {10.1161/STROKEAHA.108.521328}, author = {Luke, May M and O{\textquoteright}Meara, Ellen S and Rowland, Charles M and Shiffman, Dov and Bare, Lance A and Arellano, Andre R and Longstreth, W T and Lumley, Thomas and Rice, Kenneth and Tracy, Russell P and Devlin, James J and Psaty, Bruce M} } @article {1108, title = {Genetic variants associated with cardiac structure and function: a meta-analysis and replication of genome-wide association data.}, journal = {JAMA}, volume = {302}, year = {2009}, month = {2009 Jul 08}, pages = {168-78}, abstract = {

CONTEXT: Echocardiographic measures of left ventricular (LV) structure and function are heritable phenotypes of cardiovascular disease.

OBJECTIVE: To identify common genetic variants associated with cardiac structure and function by conducting a meta-analysis of genome-wide association data in 5 population-based cohort studies (stage 1) with replication (stage 2) in 2 other community-based samples.

DESIGN, SETTING, AND PARTICIPANTS: Within each of 5 community-based cohorts comprising the EchoGen consortium (stage 1; n = 12 612 individuals of European ancestry; 55\% women, aged 26-95 years; examinations between 1978-2008), we estimated the association between approximately 2.5 million single-nucleotide polymorphisms (SNPs; imputed to the HapMap CEU panel) and echocardiographic traits. In stage 2, SNPs significantly associated with traits in stage 1 were tested for association in 2 other cohorts (n = 4094 people of European ancestry). Using a prespecified P value threshold of 5 x 10(-7) to indicate genome-wide significance, we performed an inverse variance-weighted fixed-effects meta-analysis of genome-wide association data from each cohort.

MAIN OUTCOME MEASURES: Echocardiographic traits: LV mass, internal dimensions, wall thickness, systolic dysfunction, aortic root, and left atrial size.

RESULTS: In stage 1, 16 genetic loci were associated with 5 echocardiographic traits: 1 each with LV internal dimensions and systolic dysfunction, 3 each with LV mass and wall thickness, and 8 with aortic root size. In stage 2, 5 loci replicated (6q22 locus associated with LV diastolic dimensions, explaining <1\% of trait variance; 5q23, 12p12, 12q14, and 17p13 associated with aortic root size, explaining 1\%-3\% of trait variance).

CONCLUSIONS: We identified 5 genetic loci harboring common variants that were associated with variation in LV diastolic dimensions and aortic root size, but such findings explained a very small proportion of variance. Further studies are required to replicate these findings, identify the causal variants at or near these loci, characterize their functional significance, and determine whether they are related to overt cardiovascular disease.

}, keywords = {Adult, Aged, Aged, 80 and over, Aorta, Cardiovascular Diseases, Echocardiography, European Continental Ancestry Group, Female, Genome-Wide Association Study, Genotype, Heart Atria, Heart Ventricles, Humans, Male, Middle Aged, Organ Size, Phenotype, Polymorphism, Single Nucleotide, Risk Factors, Ventricular Dysfunction, Left, Ventricular Function, Left}, issn = {1538-3598}, doi = {10.1001/jama.2009.978-a}, author = {Vasan, Ramachandran S and Glazer, Nicole L and Felix, Janine F and Lieb, Wolfgang and Wild, Philipp S and Felix, Stephan B and Watzinger, Norbert and Larson, Martin G and Smith, Nicholas L and Dehghan, Abbas and Grosshennig, Anika and Schillert, Arne and Teumer, Alexander and Schmidt, Reinhold and Kathiresan, Sekar and Lumley, Thomas and Aulchenko, Yurii S and K{\"o}nig, Inke R and Zeller, Tanja and Homuth, Georg and Struchalin, Maksim and Aragam, Jayashri and Bis, Joshua C and Rivadeneira, Fernando and Erdmann, Jeanette and Schnabel, Renate B and D{\"o}rr, Marcus and Zweiker, Robert and Lind, Lars and Rodeheffer, Richard J and Greiser, Karin Halina and Levy, Daniel and Haritunians, Talin and Deckers, Jaap W and Stritzke, Jan and Lackner, Karl J and V{\"o}lker, Uwe and Ingelsson, Erik and Kullo, Iftikhar and Haerting, Johannes and O{\textquoteright}Donnell, Christopher J and Heckbert, Susan R and Stricker, Bruno H and Ziegler, Andreas and Reffelmann, Thorsten and Redfield, Margaret M and Werdan, Karl and Mitchell, Gary F and Rice, Kenneth and Arnett, Donna K and Hofman, Albert and Gottdiener, John S and Uitterlinden, Andr{\'e} G and Meitinger, Thomas and Blettner, Maria and Friedrich, Nele and Wang, Thomas J and Psaty, Bruce M and van Duijn, Cornelia M and Wichmann, H-Erich and Munzel, Thomas F and Kroemer, Heyo K and Benjamin, Emelia J and Rotter, Jerome I and Witteman, Jacqueline C and Schunkert, Heribert and Schmidt, Helena and V{\"o}lzke, Henry and Blankenberg, Stefan} } @article {1077, title = {Genetic variations in nitric oxide synthase 1 adaptor protein are associated with sudden cardiac death in US white community-based populations.}, journal = {Circulation}, volume = {119}, year = {2009}, month = {2009 Feb 24}, pages = {940-51}, abstract = {

BACKGROUND: The ECG QT interval is associated with risk of sudden cardiac death (SCD). A previous genome-wide association study demonstrated that allelic variants (rs10494366 and rs4657139) in the nitric oxide synthase 1 adaptor protein (NOS1AP), which encodes a carboxy-terminal PDZ ligand of neuronal nitric oxide synthase, are associated with the QT interval in white adults. The present analysis was conducted to validate the association between NOS1AP variants and the QT interval and to examine the association with SCD in a combined population of 19 295 black and white adults from the Atherosclerosis Risk In Communities Study and the Cardiovascular Health Study.

METHODS AND RESULTS: We examined 19 tagging single-nucleotide polymorphisms in the genomic blocks containing rs10494366 and rs4657139 in NOS1AP. SCD was defined as a sudden pulseless condition of cardiac origin in a previously stable individual. General linear models and Cox proportional hazards regression models were used. Multiple single-nucleotide polymorphisms in NOS1AP, including rs10494366, rs4657139, and rs16847548, were significantly associated with adjusted QT interval in whites (P<0.0001). In whites, after adjustment for age, sex, and study, the relative hazard of SCD associated with each C allele at rs16847548 was 1.31 (95\% confidence interval 1.10 to 1.56, P=0.002), assuming an additive model. In addition, a downstream neighboring single-nucleotide polymorphism, rs12567209, which was not correlated with rs16847548 or QT interval, was also independently associated with SCD in whites (relative hazard 0.57, 95\% confidence interval 0.39 to 0.83, P=0.003). Adjustment for QT interval and coronary heart disease risk factors attenuated but did not eliminate the association between rs16847548 and SCD, and such adjustment had no effect on the association between rs12567209 and SCD. No significant associations between tagging single-nucleotide polymorphisms in NOS1AP and either QT interval or SCD were observed in blacks.

CONCLUSIONS: In a combined analysis of 2 population-based prospective cohort studies, sequence variations in NOS1AP were associated with baseline QT interval and the risk of SCD in white US adults.

}, keywords = {Adaptor Proteins, Signal Transducing, Aged, Death, Sudden, Cardiac, Electrocardiography, European Continental Ancestry Group, Genotype, Humans, Middle Aged, Polymorphism, Single Nucleotide, Risk Factors}, issn = {1524-4539}, doi = {10.1161/CIRCULATIONAHA.108.791723}, author = {Kao, W H Linda and Arking, Dan E and Post, Wendy and Rea, Thomas D and Sotoodehnia, Nona and Prineas, Ronald J and Bishe, Bryan and Doan, Betty Q and Boerwinkle, Eric and Psaty, Bruce M and Tomaselli, Gordon F and Coresh, Josef and Siscovick, David S and Marb{\'a}n, Eduardo and Spooner, Peter M and Burke, Gregory L and Chakravarti, Aravinda} } @article {1117, title = {Genome-wide association studies of cardiovascular risk factors: design, conduct and interpretation.}, journal = {J Thromb Haemost}, volume = {7 Suppl 1}, year = {2009}, month = {2009 Jul}, pages = {308-11}, abstract = {

Relying on known biology, candidate-gene studies have been only modestly successful in identifying genetic variants associated with cardiovascular risk factors. Genome-wide association (GWA) studies, in contrast, allow broad scans across millions of loci in search of unsuspected genetic associations with phenotypes. The large numbers of statistical tests in GWA studies and the large sample sizes required to detect modest-sized associations have served as a powerful incentive for the development of large collaborative efforts such as the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. This article uses published data on three phenotypes, fibrinogen, uric acid, and electrocardiographic QT interval duration, from the CHARGE Consortium to describe several methodologic issues in the design, conduct, and interpretation of GWA studies, including the use of imputation and the need for additional genotyping. Even with large studies, novel genetic loci explain only a small proportion of the variance of cardiovascular phenotypes.

}, keywords = {Cardiovascular Diseases, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Quantitative Trait Loci, Risk Factors}, issn = {1538-7836}, doi = {10.1111/j.1538-7836.2009.03392.x}, author = {Bis, J C and Glazer, N L and Psaty, B M} } @article {1092, title = {Genomewide association studies of stroke.}, journal = {N Engl J Med}, volume = {360}, year = {2009}, month = {2009 Apr 23}, pages = {1718-28}, abstract = {

BACKGROUND: The genes underlying the risk of stroke in the general population remain undetermined.

METHODS: We carried out an analysis of genomewide association data generated from four large cohorts composing the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium, including 19,602 white persons (mean [+/-SD] age, 63+/-8 years) in whom 1544 incident strokes (1164 ischemic strokes) developed over an average follow-up of 11 years. We tested the markers most strongly associated with stroke in a replication cohort of 2430 black persons with 215 incident strokes (191 ischemic strokes), another cohort of 574 black persons with 85 incident strokes (68 ischemic strokes), and 652 Dutch persons with ischemic stroke and 3613 unaffected persons.

RESULTS: Two intergenic single-nucleotide polymorphisms on chromosome 12p13 and within 11 kb of the gene NINJ2 were associated with stroke (P<5x10(-8)). NINJ2 encodes an adhesion molecule expressed in glia and shows increased expression after nerve injury. Direct genotyping showed that rs12425791 was associated with an increased risk of total (i.e., all types) and ischemic stroke, with hazard ratios of 1.30 (95\% confidence interval [CI], 1.19 to 1.42) and 1.33 (95\% CI, 1.21 to 1.47), respectively, yielding population attributable risks of 11\% and 12\% in the discovery cohorts. Corresponding hazard ratios were 1.35 (95\% CI, 1.01 to 1.79; P=0.04) and 1.42 (95\% CI, 1.06 to 1.91; P=0.02) in the large cohort of black persons and 1.17 (95\% CI, 1.01 to 1.37; P=0.03) and 1.19 (95\% CI, 1.01 to 1.41; P=0.04) in the Dutch sample; the results of an underpowered analysis of the smaller black cohort were nonsignificant.

CONCLUSIONS: A genetic locus on chromosome 12p13 is associated with an increased risk of stroke.

}, keywords = {African Continental Ancestry Group, Aged, Chromosomes, Human, Pair 12, Cohort Studies, European Continental Ancestry Group, Female, Genetic Markers, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Proportional Hazards Models, Risk Factors, Stroke}, issn = {1533-4406}, doi = {10.1056/NEJMoa0900094}, author = {Ikram, M Arfan and Seshadri, Sudha and Bis, Joshua C and Fornage, Myriam and DeStefano, Anita L and Aulchenko, Yurii S and Debette, Stephanie and Lumley, Thomas and Folsom, Aaron R and van den Herik, Evita G and Bos, Michiel J and Beiser, Alexa and Cushman, Mary and Launer, Lenore J and Shahar, Eyal and Struchalin, Maksim and Du, Yangchun and Glazer, Nicole L and Rosamond, Wayne D and Rivadeneira, Fernando and Kelly-Hayes, Margaret and Lopez, Oscar L and Coresh, Josef and Hofman, Albert and DeCarli, Charles and Heckbert, Susan R and Koudstaal, Peter J and Yang, Qiong and Smith, Nicholas L and Kase, Carlos S and Rice, Kenneth and Haritunians, Talin and Roks, Gerwin and de Kort, Paul L M and Taylor, Kent D and de Lau, Lonneke M and Oostra, Ben A and Uitterlinden, Andr{\'e} G and Rotter, Jerome I and Boerwinkle, Eric and Psaty, Bruce M and Mosley, Thomas H and van Duijn, Cornelia M and Breteler, Monique M B and Longstreth, W T and Wolf, Philip A} } @article {1098, title = {Genome-wide association study of blood pressure and hypertension.}, journal = {Nat Genet}, volume = {41}, year = {2009}, month = {2009 Jun}, pages = {677-87}, abstract = {

Blood pressure is a major cardiovascular disease risk factor. To date, few variants associated with interindividual blood pressure variation have been identified and replicated. Here we report results of a genome-wide association study of systolic (SBP) and diastolic (DBP) blood pressure and hypertension in the CHARGE Consortium (n = 29,136), identifying 13 SNPs for SBP, 20 for DBP and 10 for hypertension at P < 4 {\texttimes} 10(-7). The top ten loci for SBP and DBP were incorporated into a risk score; mean BP and prevalence of hypertension increased in relation to the number of risk alleles carried. When ten CHARGE SNPs for each trait were included in a joint meta-analysis with the Global BPgen Consortium (n = 34,433), four CHARGE loci attained genome-wide significance (P < 5 {\texttimes} 10(-8)) for SBP (ATP2B1, CYP17A1, PLEKHA7, SH2B3), six for DBP (ATP2B1, CACNB2, CSK-ULK3, SH2B3, TBX3-TBX5, ULK4) and one for hypertension (ATP2B1). Identifying genes associated with blood pressure advances our understanding of blood pressure regulation and highlights potential drug targets for the prevention or treatment of hypertension.

}, keywords = {Blood Pressure, Cell Line, Chromosome Mapping, Chromosomes, Human, Diastole, Gene Expression Regulation, Genetic Association Studies, Genome-Wide Association Study, Humans, Hypertension, Liver, Lymphocytes, Meta-Analysis as Topic, Odds Ratio, Phenotype, Prevalence, Risk Assessment, Systole}, issn = {1546-1718}, doi = {10.1038/ng.384}, author = {Levy, Daniel and Ehret, Georg B and Rice, Kenneth and Verwoert, Germaine C and Launer, Lenore J and Dehghan, Abbas and Glazer, Nicole L and Morrison, Alanna C and Johnson, Andrew D and Aspelund, Thor and Aulchenko, Yurii and Lumley, Thomas and K{\"o}ttgen, Anna and Vasan, Ramachandran S and Rivadeneira, Fernando and Eiriksdottir, Gudny and Guo, Xiuqing and Arking, Dan E and Mitchell, Gary F and Mattace-Raso, Francesco U S and Smith, Albert V and Taylor, Kent and Scharpf, Robert B and Hwang, Shih-Jen and Sijbrands, Eric J G and Bis, Joshua and Harris, Tamara B and Ganesh, Santhi K and O{\textquoteright}Donnell, Christopher J and Hofman, Albert and Rotter, Jerome I and Coresh, Josef and Benjamin, Emelia J and Uitterlinden, Andr{\'e} G and Heiss, Gerardo and Fox, Caroline S and Witteman, Jacqueline C M and Boerwinkle, Eric and Wang, Thomas J and Gudnason, Vilmundur and Larson, Martin G and Chakravarti, Aravinda and Psaty, Bruce M and van Duijn, Cornelia M} } @article {1218, title = {Genetic ancestry in lung-function predictions.}, journal = {N Engl J Med}, volume = {363}, year = {2010}, month = {2010 Jul 22}, pages = {321-30}, abstract = {

BACKGROUND: Self-identified race or ethnic group is used to determine normal reference standards in the prediction of pulmonary function. We conducted a study to determine whether the genetically determined percentage of African ancestry is associated with lung function and whether its use could improve predictions of lung function among persons who identified themselves as African American.

METHODS: We assessed the ancestry of 777 participants self-identified as African American in the Coronary Artery Risk Development in Young Adults (CARDIA) study and evaluated the relation between pulmonary function and ancestry by means of linear regression. We performed similar analyses of data for two independent cohorts of subjects identifying themselves as African American: 813 participants in the Health, Aging, and Body Composition (HABC) study and 579 participants in the Cardiovascular Health Study (CHS). We compared the fit of two types of models to lung-function measurements: models based on the covariates used in standard prediction equations and models incorporating ancestry. We also evaluated the effect of the ancestry-based models on the classification of disease severity in two asthma-study populations.

RESULTS: African ancestry was inversely related to forced expiratory volume in 1 second (FEV(1)) and forced vital capacity in the CARDIA cohort. These relations were also seen in the HABC and CHS cohorts. In predicting lung function, the ancestry-based model fit the data better than standard models. Ancestry-based models resulted in the reclassification of asthma severity (based on the percentage of the predicted FEV(1)) in 4 to 5\% of participants.

CONCLUSIONS: Current predictive equations, which rely on self-identified race alone, may misestimate lung function among subjects who identify themselves as African American. Incorporating ancestry into normative equations may improve lung-function estimates and more accurately categorize disease severity. (Funded by the National Institutes of Health and others.)

}, keywords = {Adolescent, Adult, African Americans, Aged, Aged, 80 and over, Female, Forced Expiratory Volume, Genetic Markers, Genotype, Humans, Linear Models, Male, Middle Aged, Oligonucleotide Array Sequence Analysis, Reference Values, Respiratory Function Tests, Vital Capacity, Young Adult}, issn = {1533-4406}, doi = {10.1056/NEJMoa0907897}, author = {Kumar, Rajesh and Seibold, Max A and Aldrich, Melinda C and Williams, L Keoki and Reiner, Alex P and Colangelo, Laura and Galanter, Joshua and Gignoux, Christopher and Hu, Donglei and Sen, Saunak and Choudhry, Shweta and Peterson, Edward L and Rodriguez-Santana, Jose and Rodriguez-Cintron, William and Nalls, Michael A and Leak, Tennille S and O{\textquoteright}Meara, Ellen and Meibohm, Bernd and Kritchevsky, Stephen B and Li, Rongling and Harris, Tamara B and Nickerson, Deborah A and Fornage, Myriam and Enright, Paul and Ziv, Elad and Smith, Lewis J and Liu, Kiang and Burchard, Esteban Gonz{\'a}lez} } @article {1229, title = {Genetic predictors of medically refractory ulcerative colitis.}, journal = {Inflamm Bowel Dis}, volume = {16}, year = {2010}, month = {2010 Nov}, pages = {1830-40}, abstract = {

BACKGROUND: Acute severe ulcerative colitis (UC) remains a significant clinical challenge and the ability to predict, at an early stage, those individuals at risk of colectomy for medically refractory UC (MR-UC) would be a major clinical advance. The aim of this study was to use a genome-wide association study (GWAS) in a well-characterized cohort of UC patients to identify genetic variation that contributes to MR-UC.

METHODS: A GWAS comparing 324 MR-UC patients with 537 non-MR-UC patients was analyzed using logistic regression and Cox proportional hazards methods. In addition, the MR-UC patients were compared with 2601 healthy controls.

RESULTS: MR-UC was associated with more extensive disease (P = 2.7 {\texttimes} 10(-6)) and a positive family history of UC (P = 0.004). A risk score based on the combination of 46 single nucleotide polymorphisms (SNPs) associated with MR-UC explained 48\% of the variance for colectomy risk in our cohort. Risk scores divided into quarters showed the risk of colectomy to be 0\%, 17\%, 74\%, and 100\% in the four groups. Comparison of the MR-UC subjects with healthy controls confirmed the contribution of the major histocompatibility complex to severe UC (peak association: rs17207986, P = 1.4 {\texttimes} 10(-16)) and provided genome-wide suggestive association at the TNFSF15 (TL1A) locus (peak association: rs11554257, P = 1.4 {\texttimes} 10(-6)).

CONCLUSIONS: A SNP-based risk scoring system, identified here by GWAS analyses, may provide a useful adjunct to clinical parameters for predicting the natural history of UC. Furthermore, discovery of genetic processes underlying disease severity may help to identify pathways for novel therapeutic intervention in severe UC.

}, keywords = {Acute Disease, Adolescent, Adult, Cohort Studies, Colectomy, Colitis, Ulcerative, Female, Genetic Loci, Genome-Wide Association Study, Humans, Major Histocompatibility Complex, Male, Polymorphism, Single Nucleotide, Risk Factors, Severity of Illness Index, Tumor Necrosis Factor Ligand Superfamily Member 15, Young Adult}, issn = {1536-4844}, doi = {10.1002/ibd.21293}, author = {Haritunians, Talin and Taylor, Kent D and Targan, Stephan R and Dubinsky, Marla and Ippoliti, Andrew and Kwon, Soonil and Guo, Xiuqing and Melmed, Gil Y and Berel, Dror and Mengesha, Emebet and Psaty, Bruce M and Glazer, Nicole L and Vasiliauskas, Eric A and Rotter, Jerome I and Fleshner, Phillip R and McGovern, Dermot P B} } @article {1199, title = {Genome-wide analysis of genetic loci associated with Alzheimer disease.}, journal = {JAMA}, volume = {303}, year = {2010}, month = {2010 May 12}, pages = {1832-40}, abstract = {

CONTEXT: Genome-wide association studies (GWAS) have recently identified CLU, PICALM, and CR1 as novel genes for late-onset Alzheimer disease (AD).

OBJECTIVES: To identify and strengthen additional loci associated with AD and confirm these in an independent sample and to examine the contribution of recently identified genes to AD risk prediction in a 3-stage analysis of new and previously published GWAS on more than 35,000 persons (8371 AD cases).

DESIGN, SETTING, AND PARTICIPANTS: In stage 1, we identified strong genetic associations (P < 10(-3)) in a sample of 3006 AD cases and 14,642 controls by combining new data from the population-based Cohorts for Heart and Aging Research in Genomic Epidemiology consortium (1367 AD cases [973 incident]) with previously reported results from the Translational Genomics Research Institute and the Mayo AD GWAS. We identified 2708 single-nucleotide polymorphisms (SNPs) with P < 10(-3). In stage 2, we pooled results for these SNPs with the European AD Initiative (2032 cases and 5328 controls) to identify 38 SNPs (10 loci) with P < 10(-5). In stage 3, we combined data for these 10 loci with data from the Genetic and Environmental Risk in AD consortium (3333 cases and 6995 controls) to identify 4 SNPs with P < 1.7x10(-8). These 4 SNPs were replicated in an independent Spanish sample (1140 AD cases and 1209 controls). Genome-wide association analyses were completed in 2007-2008 and the meta-analyses and replication in 2009.

MAIN OUTCOME MEASURE: Presence of Alzheimer disease.

RESULTS: Two loci were identified to have genome-wide significance for the first time: rs744373 near BIN1 (odds ratio [OR],1.13; 95\% confidence interval [CI],1.06-1.21 per copy of the minor allele; P = 1.59x10(-11)) and rs597668 near EXOC3L2/BLOC1S3/MARK4 (OR, 1.18; 95\% CI, 1.07-1.29; P = 6.45x10(-9)). Associations of these 2 loci plus the previously identified loci CLU and PICALM with AD were confirmed in the Spanish sample (P < .05). However, although CLU and PICALM were confirmed to be associated with AD in this independent sample, they did not improve the ability of a model that included age, sex, and APOE to predict incident AD (improvement in area under the receiver operating characteristic curve from 0.847 to 0.849 in the Rotterdam Study and 0.702 to 0.705 in the Cardiovascular Health Study).

CONCLUSIONS: Two genetic loci for AD were found for the first time to reach genome-wide statistical significance. These findings were replicated in an independent population. Two recently reported associations were also confirmed. These loci did not improve AD risk prediction. While not clinically useful, they may implicate biological pathways useful for future research.

}, keywords = {Age of Onset, Aged, Alzheimer Disease, Case-Control Studies, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Odds Ratio, Polymorphism, Single Nucleotide}, issn = {1538-3598}, doi = {10.1001/jama.2010.574}, author = {Seshadri, Sudha and Fitzpatrick, Annette L and Ikram, M Arfan and DeStefano, Anita L and Gudnason, Vilmundur and Boada, Merce and Bis, Joshua C and Smith, Albert V and Carassquillo, Minerva M and Lambert, Jean Charles and Harold, Denise and Schrijvers, Elisabeth M C and Ramirez-Lorca, Reposo and Debette, Stephanie and Longstreth, W T and Janssens, A Cecile J W and Pankratz, V Shane and Dartigues, Jean Fran{\c c}ois and Hollingworth, Paul and Aspelund, Thor and Hernandez, Isabel and Beiser, Alexa and Kuller, Lewis H and Koudstaal, Peter J and Dickson, Dennis W and Tzourio, Christophe and Abraham, Richard and Antunez, Carmen and Du, Yangchun and Rotter, Jerome I and Aulchenko, Yurii S and Harris, Tamara B and Petersen, Ronald C and Berr, Claudine and Owen, Michael J and Lopez-Arrieta, Jesus and Varadarajan, Badri N and Becker, James T and Rivadeneira, Fernando and Nalls, Michael A and Graff-Radford, Neill R and Campion, Dominique and Auerbach, Sanford and Rice, Kenneth and Hofman, Albert and Jonsson, Palmi V and Schmidt, Helena and Lathrop, Mark and Mosley, Thomas H and Au, Rhoda and Psaty, Bruce M and Uitterlinden, Andr{\'e} G and Farrer, Lindsay A and Lumley, Thomas and Ruiz, Agustin and Williams, Julie and Amouyel, Philippe and Younkin, Steve G and Wolf, Philip A and Launer, Lenore J and Lopez, Oscar L and van Duijn, Cornelia M and Breteler, Monique M B} } @article {1217, title = {Genome-wide association analysis identifies multiple loci related to resting heart rate.}, journal = {Hum Mol Genet}, volume = {19}, year = {2010}, month = {2010 Oct 01}, pages = {3885-94}, abstract = {

Higher resting heart rate is associated with increased cardiovascular disease and mortality risk. Though heritable factors play a substantial role in population variation, little is known about specific genetic determinants. This knowledge can impact clinical care by identifying novel factors that influence pathologic heart rate states, modulate heart rate through cardiac structure and function or by improving our understanding of the physiology of heart rate regulation. To identify common genetic variants associated with heart rate, we performed a meta-analysis of 15 genome-wide association studies (GWAS), including 38,991 subjects of European ancestry, estimating the association between age-, sex- and body mass-adjusted RR interval (inverse heart rate) and approximately 2.5 million markers. Results with P < 5 {\texttimes} 10(-8) were considered genome-wide significant. We constructed regression models with multiple markers to assess whether results at less stringent thresholds were likely to be truly associated with RR interval. We identified six novel associations with resting heart rate at six loci: 6q22 near GJA1; 14q12 near MYH7; 12p12 near SOX5, c12orf67, BCAT1, LRMP and CASC1; 6q22 near SLC35F1, PLN and c6orf204; 7q22 near SLC12A9 and UfSp1; and 11q12 near FADS1. Associations at 6q22 400 kb away from GJA1, at 14q12 MYH6 and at 1q32 near CD34 identified in previously published GWAS were confirmed. In aggregate, these variants explain approximately 0.7\% of RR interval variance. A multivariant regression model including 20 variants with P < 10(-5) increased the explained variance to 1.6\%, suggesting that some loci falling short of genome-wide significance are likely truly associated. Future research is warranted to elucidate underlying mechanisms that may impact clinical care.

}, keywords = {Adult, Aged, Base Pairing, Cohort Studies, Female, Genetic Loci, Genome, Human, Genome-Wide Association Study, Heart Rate, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Rest}, issn = {1460-2083}, doi = {10.1093/hmg/ddq303}, author = {Eijgelsheim, Mark and Newton-Cheh, Christopher and Sotoodehnia, Nona and de Bakker, Paul I W and M{\"u}ller, Martina and Morrison, Alanna C and Smith, Albert V and Isaacs, Aaron and Sanna, Serena and D{\"o}rr, Marcus and Navarro, Pau and Fuchsberger, Christian and Nolte, Ilja M and de Geus, Eco J C and Estrada, Karol and Hwang, Shih-Jen and Bis, Joshua C and R{\"u}ckert, Ina-Maria and Alonso, Alvaro and Launer, Lenore J and Hottenga, Jouke Jan and Rivadeneira, Fernando and Noseworthy, Peter A and Rice, Kenneth M and Perz, Siegfried and Arking, Dan E and Spector, Tim D and Kors, Jan A and Aulchenko, Yurii S and Tarasov, Kirill V and Homuth, Georg and Wild, Sarah H and Marroni, Fabio and Gieger, Christian and Licht, Carmilla M and Prineas, Ronald J and Hofman, Albert and Rotter, Jerome I and Hicks, Andrew A and Ernst, Florian and Najjar, Samer S and Wright, Alan F and Peters, Annette and Fox, Ervin R and Oostra, Ben A and Kroemer, Heyo K and Couper, David and V{\"o}lzke, Henry and Campbell, Harry and Meitinger, Thomas and Uda, Manuela and Witteman, Jacqueline C M and Psaty, Bruce M and Wichmann, H-Erich and Harris, Tamara B and K{\"a}{\"a}b, Stefan and Siscovick, David S and Jamshidi, Yalda and Uitterlinden, Andr{\'e} G and Folsom, Aaron R and Larson, Martin G and Wilson, James F and Penninx, Brenda W and Snieder, Harold and Pramstaller, Peter P and van Duijn, Cornelia M and Lakatta, Edward G and Felix, Stephan B and Gudnason, Vilmundur and Pfeufer, Arne and Heckbert, Susan R and Stricker, Bruno H Ch and Boerwinkle, Eric and O{\textquoteright}Donnell, Christopher J} } @article {1174, title = {Genome-wide association identifies multiple ulcerative colitis susceptibility loci.}, journal = {Nat Genet}, volume = {42}, year = {2010}, month = {2010 Apr}, pages = {332-7}, abstract = {

Ulcerative colitis is a chronic, relapsing inflammatory condition of the gastrointestinal tract with a complex genetic and environmental etiology. In an effort to identify genetic variation underlying ulcerative colitis risk, we present two distinct genome-wide association studies of ulcerative colitis and their joint analysis with a previously published scan, comprising, in aggregate, 2,693 individuals with ulcerative colitis and 6,791 control subjects. Fifty-nine SNPs from 14 independent loci attained an association significance of P < 10(-5). Seven of these loci exceeded genome-wide significance (P < 5 x 10(-8)). After testing an independent cohort of 2,009 cases of ulcerative colitis and 1,580 controls, we identified 13 loci that were significantly associated with ulcerative colitis (P < 5 x 10(-8)), including the immunoglobulin receptor gene FCGR2A, 5p15, 2p16 and ORMDL3 (orosomucoid1-like 3). We confirmed association with 14 previously identified ulcerative colitis susceptibility loci, and an analysis of acknowledged Crohn{\textquoteright}s disease loci showed that roughly half of the known Crohn{\textquoteright}s disease associations are shared with ulcerative colitis. These data implicate approximately 30 loci in ulcerative colitis, thereby providing insight into disease pathogenesis.

}, keywords = {Colitis, Ulcerative, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Membrane Proteins, Meta-Analysis as Topic, Polymorphism, Single Nucleotide, Receptors, IgG}, issn = {1546-1718}, doi = {10.1038/ng.549}, author = {McGovern, Dermot P B and Gardet, Agn{\`e}s and T{\"o}rkvist, Leif and Goyette, Philippe and Essers, Jonah and Taylor, Kent D and Neale, Benjamin M and Ong, Rick T H and Lagac{\'e}, Caroline and Li, Chun and Green, Todd and Stevens, Christine R and Beauchamp, Claudine and Fleshner, Phillip R and Carlson, Marie and D{\textquoteright}Amato, Mauro and Halfvarson, Jonas and Hibberd, Martin L and L{\"o}rdal, Mikael and Padyukov, Leonid and Andriulli, Angelo and Colombo, Elisabetta and Latiano, Anna and Palmieri, Orazio and Bernard, Edmond-Jean and Deslandres, Colette and Hommes, Daan W and de Jong, Dirk J and Stokkers, Pieter C and Weersma, Rinse K and Sharma, Yashoda and Silverberg, Mark S and Cho, Judy H and Wu, Jing and Roeder, Kathryn and Brant, Steven R and Schumm, L Phillip and Duerr, Richard H and Dubinsky, Marla C and Glazer, Nicole L and Haritunians, Talin and Ippoliti, Andy and Melmed, Gil Y and Siscovick, David S and Vasiliauskas, Eric A and Targan, Stephan R and Annese, Vito and Wijmenga, Cisca and Pettersson, Sven and Rotter, Jerome I and Xavier, Ramnik J and Daly, Mark J and Rioux, John D and Seielstad, Mark} } @article {1192, title = {Genome-wide association identifies OBFC1 as a locus involved in human leukocyte telomere biology.}, journal = {Proc Natl Acad Sci U S A}, volume = {107}, year = {2010}, month = {2010 May 18}, pages = {9293-8}, abstract = {

Telomeres are engaged in a host of cellular functions, and their length is regulated by multiple genes. Telomere shortening, in the course of somatic cell replication, ultimately leads to replicative senescence. In humans, rare mutations in genes that regulate telomere length have been identified in monogenic diseases such as dyskeratosis congenita and idiopathic pulmonary fibrosis, which are associated with shortened leukocyte telomere length (LTL) and increased risk for aplastic anemia. Shortened LTL is observed in a host of aging-related complex genetic diseases and is associated with diminished survival in the elderly. We report results of a genome-wide association study of LTL in a consortium of four observational studies (n = 3,417 participants with LTL and genome-wide genotyping). SNPs in the regions of the oligonucleotide/oligosaccharide-binding folds containing one gene (OBFC1; rs4387287; P = 3.9 x 10(-9)) and chemokine (C-X-C motif) receptor 4 gene (CXCR4; rs4452212; P = 2.9 x 10(-8)) were associated with LTL at a genome-wide significance level (P < 5 x 10(-8)). We attempted replication of the top SNPs at these loci through de novo genotyping of 1,893 additional individuals and in silico lookup in another observational study (n = 2,876), and we confirmed the association findings for OBFC1 but not CXCR4. In addition, we confirmed the telomerase RNA component (TERC) as a gene associated with LTL (P = 1.1 x 10(-5)). The identification of OBFC1 through genome-wide association as a locus for interindividual variation in LTL in the general population advances the understanding of telomere biology in humans and may provide insights into aging-related disorders linked to altered LTL dynamics.

}, keywords = {Cohort Studies, Genome-Wide Association Study, Genotype, Humans, Leukocytes, Polymorphism, Single Nucleotide, Receptors, CXCR4, Telomere, Telomere-Binding Proteins}, issn = {1091-6490}, doi = {10.1073/pnas.0911494107}, author = {Levy, Daniel and Neuhausen, Susan L and Hunt, Steven C and Kimura, Masayuki and Hwang, Shih-Jen and Chen, Wei and Bis, Joshua C and Fitzpatrick, Annette L and Smith, Erin and Johnson, Andrew D and Gardner, Jeffrey P and Srinivasan, Sathanur R and Schork, Nicholas and Rotter, Jerome I and Herbig, Utz and Psaty, Bruce M and Sastrasinh, Malinee and Murray, Sarah S and Vasan, Ramachandran S and Province, Michael A and Glazer, Nicole L and Lu, Xiaobin and Cao, Xiaojian and Kronmal, Richard and Mangino, Massimo and Soranzo, Nicole and Spector, Tim D and Berenson, Gerald S and Aviv, Abraham} } @article {1156, title = {Genome-wide association studies of MRI-defined brain infarcts: meta-analysis from the CHARGE Consortium.}, journal = {Stroke}, volume = {41}, year = {2010}, month = {2010 Feb}, pages = {210-7}, abstract = {

BACKGROUND AND PURPOSE: Previous studies examining genetic associations with MRI-defined brain infarct have yielded inconsistent findings. We investigated genetic variation underlying covert MRI infarct in persons without histories of transient ischemic attack or stroke. We performed meta-analysis of genome-wide association studies of white participants in 6 studies comprising the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium.

METHODS: Using 2.2 million genotyped and imputed single nucleotide polymorphisms, each study performed cross-sectional genome-wide association analysis of MRI infarct using age- and sex-adjusted logistic regression models. Study-specific findings were combined in an inverse-variance-weighted meta-analysis, including 9401 participants with mean age 69.7 (19.4\% of whom had >or=1 MRI infarct).

RESULTS: The most significant association was found with rs2208454 (minor allele frequency, 20\%), located in intron 3 of MACRO domain containing 2 gene and in the downstream region of fibronectin leucine-rich transmembrane protein 3 gene. Each copy of the minor allele was associated with lower risk of MRI infarcts (odds ratio, 0.76; 95\% confidence interval, 0.68-0.84; P=4.64x10(-7)). Highly suggestive associations (P<1.0x10(-5)) were also found for 22 other single nucleotide polymorphisms in linkage disequilibrium (r(2)>0.64) with rs2208454. The association with rs2208454 did not replicate in independent samples of 1822 white and 644 black participants, although 4 single nucleotide polymorphisms within 200 kb from rs2208454 were associated with MRI infarcts in the black population sample.

CONCLUSIONS: This first community-based, genome-wide association study on covert MRI infarcts uncovered novel associations. Although replication of the association with top single nucleotide polymorphisms failed, possibly because of insufficient power, results in the black population sample are encouraging, and further efforts at replication are needed.

}, keywords = {African Americans, Aged, Brain, Brain Infarction, Cohort Studies, DNA Mutational Analysis, Female, Gene Frequency, Genetic Markers, Genetic Predisposition to Disease, Genetic Testing, Genetic Variation, Genome-Wide Association Study, Humans, Linkage Disequilibrium, Magnetic Resonance Imaging, Male, Middle Aged, Polymorphism, Single Nucleotide, Prospective Studies}, issn = {1524-4628}, doi = {10.1161/STROKEAHA.109.569194}, author = {Debette, Stephanie and Bis, Joshua C and Fornage, Myriam and Schmidt, Helena and Ikram, M Arfan and Sigurdsson, Sigurdur and Heiss, Gerardo and Struchalin, Maksim and Smith, Albert V and van der Lugt, Aad and DeCarli, Charles and Lumley, Thomas and Knopman, David S and Enzinger, Christian and Eiriksdottir, Gudny and Koudstaal, Peter J and DeStefano, Anita L and Psaty, Bruce M and Dufouil, Carole and Catellier, Diane J and Fazekas, Franz and Aspelund, Thor and Aulchenko, Yurii S and Beiser, Alexa and Rotter, Jerome I and Tzourio, Christophe and Shibata, Dean K and Tscherner, Maria and Harris, Tamara B and Rivadeneira, Fernando and Atwood, Larry D and Rice, Kenneth and Gottesman, Rebecca F and van Buchem, Mark A and Uitterlinden, Andr{\'e} G and Kelly-Hayes, Margaret and Cushman, Mary and Zhu, Yicheng and Boerwinkle, Eric and Gudnason, Vilmundur and Hofman, Albert and Romero, Jose R and Lopez, Oscar and van Duijn, Cornelia M and Au, Rhoda and Heckbert, Susan R and Wolf, Philip A and Mosley, Thomas H and Seshadri, Sudha and Breteler, Monique M B and Schmidt, Reinhold and Launer, Lenore J and Longstreth, W T} } @article {1223, title = {Genome-wide association studies of serum magnesium, potassium, and sodium concentrations identify six Loci influencing serum magnesium levels.}, journal = {PLoS Genet}, volume = {6}, year = {2010}, month = {2010 Aug 05}, abstract = {

Magnesium, potassium, and sodium, cations commonly measured in serum, are involved in many physiological processes including energy metabolism, nerve and muscle function, signal transduction, and fluid and blood pressure regulation. To evaluate the contribution of common genetic variation to normal physiologic variation in serum concentrations of these cations, we conducted genome-wide association studies of serum magnesium, potassium, and sodium concentrations using approximately 2.5 million genotyped and imputed common single nucleotide polymorphisms (SNPs) in 15,366 participants of European descent from the international CHARGE Consortium. Study-specific results were combined using fixed-effects inverse-variance weighted meta-analysis. SNPs demonstrating genome-wide significant (p<5 x 10(-8)) or suggestive associations (p<4 x 10(-7)) were evaluated for replication in an additional 8,463 subjects of European descent. The association of common variants at six genomic regions (in or near MUC1, ATP2B1, DCDC5, TRPM6, SHROOM3, and MDS1) with serum magnesium levels was genome-wide significant when meta-analyzed with the replication dataset. All initially significant SNPs from the CHARGE Consortium showed nominal association with clinically defined hypomagnesemia, two showed association with kidney function, two with bone mineral density, and one of these also associated with fasting glucose levels. Common variants in CNNM2, a magnesium transporter studied only in model systems to date, as well as in CNNM3 and CNNM4, were also associated with magnesium concentrations in this study. We observed no associations with serum sodium or potassium levels exceeding p<4 x 10(-7). Follow-up studies of newly implicated genomic loci may provide additional insights into the regulation and homeostasis of human serum magnesium levels.

}, keywords = {Adult, Aged, European Continental Ancestry Group, Female, Genome-Wide Association Study, Humans, Magnesium, Male, Middle Aged, Polymorphism, Single Nucleotide, Potassium, Sodium}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1001045}, author = {Meyer, Tamra E and Verwoert, Germaine C and Hwang, Shih-Jen and Glazer, Nicole L and Smith, Albert V and van Rooij, Frank J A and Ehret, Georg B and Boerwinkle, Eric and Felix, Janine F and Leak, Tennille S and Harris, Tamara B and Yang, Qiong and Dehghan, Abbas and Aspelund, Thor and Katz, Ronit and Homuth, Georg and Kocher, Thomas and Rettig, Rainer and Ried, Janina S and Gieger, Christian and Prucha, Hanna and Pfeufer, Arne and Meitinger, Thomas and Coresh, Josef and Hofman, Albert and Sarnak, Mark J and Chen, Yii-Der Ida and Uitterlinden, Andr{\'e} G and Chakravarti, Aravinda and Psaty, Bruce M and van Duijn, Cornelia M and Kao, W H Linda and Witteman, Jacqueline C M and Gudnason, Vilmundur and Siscovick, David S and Fox, Caroline S and K{\"o}ttgen, Anna} } @article {1182, title = {Genome-wide association study identifies GPC5 as a novel genetic locus protective against sudden cardiac arrest.}, journal = {PLoS One}, volume = {5}, year = {2010}, month = {2010 Mar 25}, pages = {e9879}, abstract = {

BACKGROUND: Existing studies indicate a significant genetic component for sudden cardiac arrest (SCA) and genome-wide association studies (GWAS) provide an unbiased approach for identification of novel genes. We performed a GWAS to identify genetic determinants of SCA.

METHODOLOGY/PRINCIPAL FINDINGS: We used a case-control design within the ongoing Oregon Sudden Unexpected Death Study (Oregon-SUDS). Cases (n = 424) were SCAs with coronary artery disease (CAD) among residents of Portland, OR (2002-07, population approximately 1,000,000) and controls (n = 226) were residents with CAD, but no history of SCA. All subjects were of White-European ancestry and GWAS was performed using Affymetrix 500K/5.0 and 6.0 arrays. High signal markers were genotyped in SCA cases (n = 521) identified from the Atherosclerosis Risk in Communities Study (ARIC) and the Cardiovascular Health Study (CHS) (combined n = 19,611). No SNPs reached genome-wide significance (p<5x10(-8)). SNPs at 6 loci were prioritized for follow-up primarily based on significance of p<10(-4) and proximity to a known gene (CSMD2, GPR37L1, LIN9, B4GALNT3, GPC5, and ZNF592). The minor allele of GPC5 (GLYPICAN 5, rs3864180) was associated with a lower risk of SCA in Oregon-SUDS, an effect that was also observed in ARIC/CHS whites (p<0.05) and blacks (p<0.04). In a combined Cox proportional hazards model analysis that adjusted for race, the minor allele exhibited a hazard ratio of 0.85 (95\% CI 0.74 to 0.98; p<0.01).

CONCLUSIONS/SIGNIFICANCE: A novel genetic locus for SCA, GPC5, was identified from Oregon-SUDS and successfully validated in the ARIC and CHS cohorts. Three other members of the Glypican family have been previously implicated in human disease, including cardiac conditions. The mechanism of this specific association requires further study.

}, keywords = {Aged, Alleles, Case-Control Studies, Cohort Studies, Death, Sudden, Cardiac, Ethnic Groups, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Glypicans, Heart Diseases, Humans, Male, Middle Aged, Models, Genetic, Oligonucleotide Array Sequence Analysis, Oregon, Polymorphism, Single Nucleotide}, issn = {1932-6203}, doi = {10.1371/journal.pone.0009879}, author = {Arking, Dan E and Reinier, Kyndaron and Post, Wendy and Jui, Jonathan and Hilton, Gina and O{\textquoteright}Connor, Ashley and Prineas, Ronald J and Boerwinkle, Eric and Psaty, Bruce M and Tomaselli, Gordon F and Rea, Thomas and Sotoodehnia, Nona and Siscovick, David S and Burke, Gregory L and Marb{\'a}n, Eduardo and Spooner, Peter M and Chakravarti, Aravinda and Chugh, Sumeet S} } @article {1159, title = {Genome-wide association study of PR interval.}, journal = {Nat Genet}, volume = {42}, year = {2010}, month = {2010 Feb}, pages = {153-9}, abstract = {

The electrocardiographic PR interval (or PQ interval) reflects atrial and atrioventricular nodal conduction, disturbances of which increase risk of atrial fibrillation. We report a meta-analysis of genome-wide association studies for PR interval from seven population-based European studies in the CHARGE Consortium: AGES, ARIC, CHS, FHS, KORA, Rotterdam Study, and SardiNIA (N = 28,517). We identified nine loci associated with PR interval at P < 5 x 10(-8). At the 3p22.2 locus, we observed two independent associations in voltage-gated sodium channel genes, SCN10A and SCN5A. Six of the loci were near cardiac developmental genes, including CAV1-CAV2, NKX2-5 (CSX1), SOX5, WNT11, MEIS1, and TBX5-TBX3, providing pathophysiologically interesting candidate genes. Five of the loci, SCN5A, SCN10A, NKX2-5, CAV1-CAV2, and SOX5, were also associated with atrial fibrillation (N = 5,741 cases, P < 0.0056). This suggests a role for common variation in ion channel and developmental genes in atrial and atrioventricular conduction as well as in susceptibility to atrial fibrillation.

}, keywords = {Aged, Atrial Fibrillation, Cohort Studies, Electrocardiography, Female, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Heart Conduction System, Humans, Male, Meta-Analysis as Topic}, issn = {1546-1718}, doi = {10.1038/ng.517}, author = {Pfeufer, Arne and van Noord, Charlotte and Marciante, Kristin D and Arking, Dan E and Larson, Martin G and Smith, Albert Vernon and Tarasov, Kirill V and M{\"u}ller, Martina and Sotoodehnia, Nona and Sinner, Moritz F and Verwoert, Germaine C and Li, Man and Kao, W H Linda and K{\"o}ttgen, Anna and Coresh, Josef and Bis, Joshua C and Psaty, Bruce M and Rice, Kenneth and Rotter, Jerome I and Rivadeneira, Fernando and Hofman, Albert and Kors, Jan A and Stricker, Bruno H C and Uitterlinden, Andr{\'e} G and van Duijn, Cornelia M and Beckmann, Britt M and Sauter, Wiebke and Gieger, Christian and Lubitz, Steven A and Newton-Cheh, Christopher and Wang, Thomas J and Magnani, Jared W and Schnabel, Renate B and Chung, Mina K and Barnard, John and Smith, Jonathan D and Van Wagoner, David R and Vasan, Ramachandran S and Aspelund, Thor and Eiriksdottir, Gudny and Harris, Tamara B and Launer, Lenore J and Najjar, Samer S and Lakatta, Edward and Schlessinger, David and Uda, Manuela and Abecasis, Goncalo R and M{\"u}ller-Myhsok, Bertram and Ehret, Georg B and Boerwinkle, Eric and Chakravarti, Aravinda and Soliman, Elsayed Z and Lunetta, Kathryn L and Perz, Siegfried and Wichmann, H-Erich and Meitinger, Thomas and Levy, Daniel and Gudnason, Vilmundur and Ellinor, Patrick T and Sanna, Serena and K{\"a}{\"a}b, Stefan and Witteman, Jacqueline C M and Alonso, Alvaro and Benjamin, Emelia J and Heckbert, Susan R} } @article {1191, title = {Genome-wide meta-analyses identify multiple loci associated with smoking behavior.}, journal = {Nat Genet}, volume = {42}, year = {2010}, month = {2010 May}, pages = {441-7}, abstract = {

Consistent but indirect evidence has implicated genetic factors in smoking behavior. We report meta-analyses of several smoking phenotypes within cohorts of the Tobacco and Genetics Consortium (n = 74,053). We also partnered with the European Network of Genetic and Genomic Epidemiology (ENGAGE) and Oxford-GlaxoSmithKline (Ox-GSK) consortia to follow up the 15 most significant regions (n > 140,000). We identified three loci associated with number of cigarettes smoked per day. The strongest association was a synonymous 15q25 SNP in the nicotinic receptor gene CHRNA3 (rs1051730[A], beta = 1.03, standard error (s.e.) = 0.053, P = 2.8 x 10(-73)). Two 10q25 SNPs (rs1329650[G], beta = 0.367, s.e. = 0.059, P = 5.7 x 10(-10); and rs1028936[A], beta = 0.446, s.e. = 0.074, P = 1.3 x 10(-9)) and one 9q13 SNP in EGLN2 (rs3733829[G], beta = 0.333, s.e. = 0.058, P = 1.0 x 10(-8)) also exceeded genome-wide significance for cigarettes per day. For smoking initiation, eight SNPs exceeded genome-wide significance, with the strongest association at a nonsynonymous SNP in BDNF on chromosome 11 (rs6265[C], odds ratio (OR) = 1.06, 95\% confidence interval (Cl) 1.04-1.08, P = 1.8 x 10(-8)). One SNP located near DBH on chromosome 9 (rs3025343[G], OR = 1.12, 95\% Cl 1.08-1.18, P = 3.6 x 10(-8)) was significantly associated with smoking cessation.

}, keywords = {Age Factors, Alleles, Chromosome Mapping, Female, Genome, Genome-Wide Association Study, Genotype, Humans, Male, Molecular Epidemiology, Odds Ratio, Phenotype, Polymorphism, Single Nucleotide, Receptors, Nicotinic, Smoking}, issn = {1546-1718}, doi = {10.1038/ng.571} } @article {1249, title = {Genome-wide meta-analysis increases to 71 the number of confirmed Crohn{\textquoteright}s disease susceptibility loci.}, journal = {Nat Genet}, volume = {42}, year = {2010}, month = {2010 Dec}, pages = {1118-25}, abstract = {

We undertook a meta-analysis of six Crohn{\textquoteright}s disease genome-wide association studies (GWAS) comprising 6,333 affected individuals (cases) and 15,056 controls and followed up the top association signals in 15,694 cases, 14,026 controls and 414 parent-offspring trios. We identified 30 new susceptibility loci meeting genome-wide significance (P < 5 {\texttimes} 10$^{-}$$^{8}$). A series of in silico analyses highlighted particular genes within these loci and, together with manual curation, implicated functionally interesting candidate genes including SMAD3, ERAP2, IL10, IL2RA, TYK2, FUT2, DNMT3A, DENND1B, BACH2 and TAGAP. Combined with previously confirmed loci, these results identify 71 distinct loci with genome-wide significant evidence for association with Crohn{\textquoteright}s disease.

}, keywords = {Computational Biology, Crohn Disease, Genetic Linkage, Genetic Loci, Genetic Predisposition to Disease, Genetic Variation, Genome, Human, Genome-Wide Association Study, Humans, Reproducibility of Results}, issn = {1546-1718}, doi = {10.1038/ng.717}, author = {Franke, Andre and McGovern, Dermot P B and Barrett, Jeffrey C and Wang, Kai and Radford-Smith, Graham L and Ahmad, Tariq and Lees, Charlie W and Balschun, Tobias and Lee, James and Roberts, Rebecca and Anderson, Carl A and Bis, Joshua C and Bumpstead, Suzanne and Ellinghaus, David and Festen, Eleonora M and Georges, Michel and Green, Todd and Haritunians, Talin and Jostins, Luke and Latiano, Anna and Mathew, Christopher G and Montgomery, Grant W and Prescott, Natalie J and Raychaudhuri, Soumya and Rotter, Jerome I and Schumm, Philip and Sharma, Yashoda and Simms, Lisa A and Taylor, Kent D and Whiteman, David and Wijmenga, Cisca and Baldassano, Robert N and Barclay, Murray and Bayless, Theodore M and Brand, Stephan and B{\"u}ning, Carsten and Cohen, Albert and Colombel, Jean-Frederick and Cottone, Mario and Stronati, Laura and Denson, Ted and De Vos, Martine and D{\textquoteright}Inca, Renata and Dubinsky, Marla and Edwards, Cathryn and Florin, Tim and Franchimont, Denis and Gearry, Richard and Glas, J{\"u}rgen and Van Gossum, Andre and Guthery, Stephen L and Halfvarson, Jonas and Verspaget, Hein W and Hugot, Jean-Pierre and Karban, Amir and Laukens, Debby and Lawrance, Ian and Lemann, Marc and Levine, Arie and Libioulle, Cecile and Louis, Edouard and Mowat, Craig and Newman, William and Pan{\'e}s, Juli{\'a}n and Phillips, Anne and Proctor, Deborah D and Regueiro, Miguel and Russell, Richard and Rutgeerts, Paul and Sanderson, Jeremy and Sans, Miquel and Seibold, Frank and Steinhart, A Hillary and Stokkers, Pieter C F and T{\"o}rkvist, Leif and Kullak-Ublick, Gerd and Wilson, David and Walters, Thomas and Targan, Stephan R and Brant, Steven R and Rioux, John D and D{\textquoteright}Amato, Mauro and Weersma, Rinse K and Kugathasan, Subra and Griffiths, Anne M and Mansfield, John C and Vermeire, Severine and Duerr, Richard H and Silverberg, Mark S and Satsangi, Jack and Schreiber, Stefan and Cho, Judy H and Annese, Vito and Hakonarson, Hakon and Daly, Mark J and Parkes, Miles} } @article {1187, title = {Genomic variation associated with mortality among adults of European and African ancestry with heart failure: the cohorts for heart and aging research in genomic epidemiology consortium.}, journal = {Circ Cardiovasc Genet}, volume = {3}, year = {2010}, month = {2010 Jun}, pages = {248-55}, abstract = {

BACKGROUND: Prognosis and survival are significant concerns for individuals with heart failure (HF). To better understand the pathophysiology of HF prognosis, the association between 2,366,858 single-nucleotide polymorphisms (SNPs) and all-cause mortality was evaluated among individuals with incident HF from 4 community-based prospective cohorts: the Atherosclerosis Risk in Communities Study, the Cardiovascular Health Study, the Framingham Heart Study, and the Rotterdam Study.

METHODS AND RESULTS: Participants were 2526 individuals of European ancestry and 466 individuals of African ancestry who experienced an incident HF event during follow-up in the respective cohorts. Within each study, the association between genetic variants and time to mortality among individuals with HF was assessed by Cox proportional hazards models that included adjustment for sex and age at the time of the HF event. Prospective fixed-effect meta-analyses were conducted for the 4 study populations of European ancestry (N=1645 deaths) and for the 2 populations of African ancestry (N=281 deaths). Genome-wide significance was set at P=5.0x10(-7). Meta-analytic findings among individuals of European ancestry revealed 1 genome-wide significant locus on chromosome 3p22 in an intron of CKLF-like MARVEL transmembrane domain containing 7 (CMTM7, P=3.2x10(-7)). Eight additional loci in individuals of European ancestry and 4 loci in individuals of African ancestry were identified by high-signal SNPs (P<1.0x10(-5)) but did not meet genome-wide significance.

CONCLUSIONS: This study identified a novel locus associated with all-cause mortality among individuals of European ancestry with HF. This finding warrants additional investigation, including replication, in other studies of HF.

}, keywords = {African Americans, Aged, Aged, 80 and over, Chemokines, Cohort Studies, European Continental Ancestry Group, Female, Genome-Wide Association Study, Genotype, Heart Failure, Humans, Introns, Male, MARVEL Domain-Containing Proteins, Membrane Proteins, Middle Aged, Polymorphism, Single Nucleotide, Risk Factors}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.109.895995}, author = {Morrison, Alanna C and Felix, Janine F and Cupples, L Adrienne and Glazer, Nicole L and Loehr, Laura R and Dehghan, Abbas and Demissie, Serkalem and Bis, Joshua C and Rosamond, Wayne D and Aulchenko, Yurii S and Wang, Ying A and Haritunians, Talin and Folsom, Aaron R and Rivadeneira, Fernando and Benjamin, Emelia J and Lumley, Thomas and Couper, David and Stricker, Bruno H and O{\textquoteright}Donnell, Christopher J and Rice, Kenneth M and Chang, Patricia P and Hofman, Albert and Levy, Daniel and Rotter, Jerome I and Fox, Ervin R and Uitterlinden, Andr{\'e} G and Wang, Thomas J and Psaty, Bruce M and Willerson, James T and van Duijn, Cornelia M and Boerwinkle, Eric and Witteman, Jacqueline C M and Vasan, Ramachandran S and Smith, Nicholas L} } @article {1232, title = {Geriatric impairments and disability: the cardiovascular health study.}, journal = {J Am Geriatr Soc}, volume = {58}, year = {2010}, month = {2010 Sep}, pages = {1686-92}, abstract = {

OBJECTIVES: To determine the relative importance of geriatric impairments (in muscle strength, physical capacity, cognition, vision, hearing, and psychological status) and chronic diseases in predicting subsequent functional disability in longitudinal analyses.

DESIGN: Longitudinal data from the Cardiovascular Health Study were analyzed. Multivariable Cox hazards regression modeling was used to analyze associations between time-dependent predictors and onset of disability in activities of daily living (ADLs) and mobility.

SETTING: Four communities across the United States (Sacramento County, CA; Washington County, MD; Forsyth County, NC; and Allegheny County, PA).

PARTICIPANTS: Five thousand eight hundred eighty-eight elderly persons.

MEASUREMENTS: Data were collected annually through in-person examinations.

RESULTS: ADL disability developed in 15\% of participants and mobility disability in 30\%. A single multivariable model was developed that included demographics, marital status, body mass index, and number of impairments and diseases. The hazard ratios (HRs) of having one, two, and three or more geriatric impairments (vs none) for the outcome of ADL disability were 2.12 (95\% confidence interval (CI)=1.63-2.75), 4.25 (95\% CI=3.30-5.48), and 7.87 (95\% CI=6.10-10.17), respectively, and for having one, two, and three or more chronic diseases were 1.75 (95\% CI=1.41-2.19), 2.45 (95\% CI=1.95-3.07), and 3.26 (95\% CI=2.53-4.19), respectively. Similarly, the HRs of having one, two, and three or more impairments for the outcome of mobility disability were 1.48 (95\% CI=1.27-1.73), 2.08 (95\% CI=1.77-2.45), and 3.70 (95\% CI=3.09-4.42), respectively, and for having one, two, and three or more diseases were 2.06 (95\% CI=1.76-2.40), 2.80 (95\% CI=2.36-3.31), and 4.20 (95\% CI=3.44-5.14), respectively.

CONCLUSION: Number of geriatric impairments was more strongly associated than number of chronic diseases with subsequent ADL disability and nearly as strongly associated with the subsequent mobility disability.

}, keywords = {Activities of Daily Living, Aged, Aged, 80 and over, Cardiac Rehabilitation, Cardiovascular Diseases, Disabled Persons, Female, Follow-Up Studies, Geriatric Assessment, Health Status, Humans, Male, Morbidity, Retrospective Studies, Risk Factors, Time Factors, United States}, issn = {1532-5415}, doi = {10.1111/j.1532-5415.2010.03022.x}, author = {Chaudhry, Sarwat I and McAvay, Gail and Ning, Yuming and Allore, Heather G and Newman, Anne B and Gill, Thomas M} } @article {1091, title = {Glycosylated hemoglobin and the risk of death and cardiovascular mortality in the elderly.}, journal = {Nutr Metab Cardiovasc Dis}, volume = {20}, year = {2010}, month = {2010 Jan}, pages = {15-21}, abstract = {

BACKGROUND AND AIMS: Glycosylated hemoglobin (HbA(1c)) has been associated with incident cardiovascular disease (CVD), but the findings are inconsistent. We tested the hypothesis that HbA(1c) may be associated with an increased risk of death and cardiovascular mortality in older adults.

METHODS AND RESULTS: We evaluated the association between HbA(1c) with all-cause and cardiovascular mortality in 810 participants without a history of diabetes in a sub-study of the Cardiovascular Health Study (CHS), a community cohort study of individuals > or =65 years of age. Glycosylated hemoglobin was measured at baseline and all-cause and cardiovascular mortality was assessed during the follow-up period. The relation between baseline HbA(1c) and death was evaluated with multivariate Cox proportional hazards regression models. After a median follow-up of 14.2 years, 416 deaths were observed. The crude incidence rates of all-cause mortality across HbA(1c) groups were: 4.4\% per year, 4.3\% per year and 4.6\% per year for tertile 1 (< or =5.6\%), tertile 2 (5.61-6.20\%) and tertile 3 (> or =6.21\%), respectively. In unadjusted and fully adjusted analyses, baseline HbA(1c) was not associated with all-cause mortality and cardiovascular mortality (hazard ratio: 1.16 [95\% confidence interval 0.91-1.47] and hazard ratio: 1.31 [95\% confidence interval 0.90-1.93], respectively for the highest HbA(1c) tertile compared with the lowest).

CONCLUSION: These results suggest that HbA(1c) does not significantly predict all-cause and cardiovascular mortality in non-diabetic community-dwelling older adults.

}, keywords = {Aged, Aged, 80 and over, Body Mass Index, Cardiovascular Diseases, Cohort Studies, Disease Progression, Female, Glycated Hemoglobin A, Health Surveys, Heart Failure, Humans, Incidence, Male, Myocardial Infarction, Risk Factors, Statistics as Topic, Stroke, United States}, issn = {1590-3729}, doi = {10.1016/j.numecd.2009.02.007}, author = {Chonchol, M and Katz, R and Fried, L F and Sarnak, M J and Siscovick, D S and Newman, A B and Strotmeyer, E S and Bertoni, A and Shlipak, M G} } @article {1259, title = {Gait speed and survival in older adults.}, journal = {JAMA}, volume = {305}, year = {2011}, month = {2011 Jan 05}, pages = {50-8}, abstract = {

CONTEXT: Survival estimates help individualize goals of care for geriatric patients, but life tables fail to account for the great variability in survival. Physical performance measures, such as gait speed, might help account for variability, allowing clinicians to make more individualized estimates.

OBJECTIVE: To evaluate the relationship between gait speed and survival.

DESIGN, SETTING, AND PARTICIPANTS: Pooled analysis of 9 cohort studies (collected between 1986 and 2000), using individual data from 34,485 community-dwelling older adults aged 65 years or older with baseline gait speed data, followed up for 6 to 21 years. Participants were a mean (SD) age of 73.5 (5.9) years; 59.6\%, women; and 79.8\%, white; and had a mean (SD) gait speed of 0.92 (0.27) m/s.

MAIN OUTCOME MEASURES: Survival rates and life expectancy.

RESULTS: There were 17,528 deaths; the overall 5-year survival rate was 84.8\% (confidence interval [CI], 79.6\%-88.8\%) and 10-year survival rate was 59.7\% (95\% CI, 46.5\%-70.6\%). Gait speed was associated with survival in all studies (pooled hazard ratio per 0.1 m/s, 0.88; 95\% CI, 0.87-0.90; P < .001). Survival increased across the full range of gait speeds, with significant increments per 0.1 m/s. At age 75, predicted 10-year survival across the range of gait speeds ranged from 19\% to 87\% in men and from 35\% to 91\% in women. Predicted survival based on age, sex, and gait speed was as accurate as predicted based on age, sex, use of mobility aids, and self-reported function or as age, sex, chronic conditions, smoking history, blood pressure, body mass index, and hospitalization.

CONCLUSION: In this pooled analysis of individual data from 9 selected cohorts, gait speed was associated with survival in older adults.

}, keywords = {Aged, Cohort Studies, Female, Gait, Geriatric Assessment, Humans, Life Expectancy, Male, Survival Analysis, United States}, issn = {1538-3598}, doi = {10.1001/jama.2010.1923}, author = {Studenski, Stephanie and Perera, Subashan and Patel, Kushang and Rosano, Caterina and Faulkner, Kimberly and Inzitari, Marco and Brach, Jennifer and Chandler, Julie and Cawthon, Peggy and Connor, Elizabeth Barrett and Nevitt, Michael and Visser, Marjolein and Kritchevsky, Stephen and Badinelli, Stefania and Harris, Tamara and Newman, Anne B and Cauley, Jane and Ferrucci, Luigi and Guralnik, Jack} } @article {1262, title = {Gender differences between the Minnesota code and Novacode electrocardiographic prognostication of coronary heart disease in the cardiovascular health study.}, journal = {Am J Cardiol}, volume = {107}, year = {2011}, month = {2011 Mar 15}, pages = {817-820.e1}, abstract = {

The Minnesota Code (MC) and Novacode (Nova) are the most widely used electrocardiographic (ECG) classification systems. The comparative strengths of their classifications for Q- and ST-T-wave abnormalities in predicting coronary heart disease (CHD) events and total mortality have not been evaluated separately by gender. We studied standard 12-lead electrocardiograms at rest from 4,988 participants in the Cardiovascular Health Study. Average age at baseline was 73 years, 60\% of participants were women 85\% were white, and 22\% had a history of cardiovascular disease or presence of ECG myocardial infarction by MC or Nova. Starting in 1989 with an average 17-year follow-up, 65\% of participants died and 33\% had incident CHD in a cohort free of cardiovascular disease at baseline. Of these, electrocardiograms with major Q-wave or major ST-T abnormalities by MC or Nova predicted increased risk for CHD events and total mortality with no significant differences in predictability between men and women. The study also found that women had fewer major Q-wave changes but more major ST-T abnormalities than men. However, there were no gender differences in predicting CHD events and total mortality. In conclusion, ECG classification systems for myocardial infarction/ischemia abnormalities by MC or Nova are valuable and useful for men and women in clinical trials and epidemiologic studies.

}, keywords = {Aged, Coronary Disease, Electrocardiography, Female, Humans, Incidence, Male, Predictive Value of Tests, Prognosis, Proportional Hazards Models, Prospective Studies, Risk Assessment, Risk Factors, Sex Factors, United States}, issn = {1879-1913}, doi = {10.1016/j.amjcard.2010.11.004}, author = {Zhang, Zhu-Ming and Prineas, Ronald J and Case, Doug and Psaty, Bruce M and Suzuki, Takeki and Burke, Gregory L} } @article {1315, title = {Gender differences in tea, coffee, and cognitive decline in the elderly: the Cardiovascular Health Study.}, journal = {J Alzheimers Dis}, volume = {27}, year = {2011}, month = {2011}, pages = {553-66}, abstract = {

Although caffeine can enhance cognitive function acutely, long-term effects of consumption of caffeine-containing beverages such as tea and coffee are uncertain. Data on 4,809 participants aged 65 and older from the Cardiovascular Health Study (CHS) were used to examine the relationship of consumption of tea and coffee, assessed by food frequency questionnaire, on change in cognitive function by gender. Cognitive performance was assessed using serial Modified Mini-Mental State (3MS) examinations, which were administered annually up to 9 times. Linear mixed models were used to estimate rates of change in standard 3MS scores and scores modeled using item response theory (IRT). Models were adjusted for age, education, smoking status, clinic site, diabetes, hypertension, stroke, coronary heart disease, depression score, and APOE genotype. Over the median 7.9 years of follow-up, participants who did not consume tea or coffee declined annually an average of 1.30 points (women) and 1.11 points (men) on standard 3MS scores. In fully adjusted models using either standard or IRT 3MS scores, we found modestly reduced rates of cognitive decline for some, but not all, levels of coffee and tea consumption for women, with no consistent effect for men. Caffeine consumption was also associated with attenuation in cognitive decline in women. Dose-response relationships were not linear. These longitudinal analyses suggest a somewhat attenuated rate of cognitive decline among tea and coffee consumers compared to non-consumers in women but not in men. Whether this association is causal or due to unmeasured confounding requires further study.

}, keywords = {Aged, Aged, 80 and over, Cardiovascular Diseases, Coffee, Cognition Disorders, Cohort Studies, Female, Follow-Up Studies, Humans, Longitudinal Studies, Male, Prospective Studies, Sex Characteristics, Tea}, issn = {1875-8908}, doi = {10.3233/JAD-2011-110431}, author = {Arab, Lenore and Biggs, Mary L and O{\textquoteright}Meara, Ellen S and Longstreth, W T and Crane, Paul K and Fitzpatrick, Annette L} } @article {1568, title = {A gene-centric association scan for Coagulation Factor VII levels in European and African Americans: the Candidate Gene Association Resource (CARe) Consortium.}, journal = {Hum Mol Genet}, volume = {20}, year = {2011}, month = {2011 Sep 01}, pages = {3525-34}, abstract = {

Polymorphisms in several distinct genomic regions, including the F7 gene, were recently associated with factor VII (FVII) levels in European Americans (EAs). The genetic determinants of FVII in African Americans (AAs) are unknown. We used a 50,000 single nucleotide polymorphism (SNP) gene-centric array having dense coverage of over 2,000 candidate genes for cardiovascular disease (CVD) pathways in a community-based sample of 16,324 EA and 3898 AA participants from the Candidate Gene Association Resource (CARe) consortium. Our aim was the discovery of new genomic loci and more detailed characterization of existing loci associated with FVII levels. In EAs, we identified three new loci associated with FVII, of which APOA5 on chromosome 11q23 and HNF4A on chromosome 20q12-13 were replicated in a sample of 4289 participants from the Whitehall II study. We confirmed four previously reported FVII-associated loci (GCKR, MS4A6A, F7 and PROCR) in CARe EA samples. In AAs, the F7 and PROCR regions were significantly associated with FVII. Several of the FVII-associated regions are known to be associated with lipids and other cardiovascular-related traits. At the F7 locus, there was evidence of at least five independently associated SNPs in EAs and three independent signals in AAs. Though the variance in FVII explained by the existing loci is substantial (20\% in EA and 10\% in AA), larger sample sizes and investigation of lower frequency variants may be required to identify additional FVII-associated loci in EAs and AAs and further clarify the relationship between FVII and other CVD risk factors.

}, keywords = {Adult, African Americans, Aged, Cardiovascular Diseases, European Continental Ancestry Group, Factor VII, Female, Genetic Predisposition to Disease, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide}, issn = {1460-2083}, doi = {10.1093/hmg/ddr264}, author = {Taylor, Kira C and Lange, Leslie A and Zabaneh, Delilah and Lange, Ethan and Keating, Brendan J and Tang, Weihong and Smith, Nicholas L and Delaney, Joseph A and Kumari, Meena and Hingorani, Aroon and North, Kari E and Kivimaki, Mika and Tracy, Russell P and O{\textquoteright}Donnell, Christopher J and Folsom, Aaron R and Green, David and Humphries, Steve E and Reiner, Alexander P} } @article {1327, title = {Genetic association for renal traits among participants of African ancestry reveals new loci for renal function.}, journal = {PLoS Genet}, volume = {7}, year = {2011}, month = {2011 Sep}, pages = {e1002264}, abstract = {

Chronic kidney disease (CKD) is an increasing global public health concern, particularly among populations of African ancestry. We performed an interrogation of known renal loci, genome-wide association (GWA), and IBC candidate-gene SNP association analyses in African Americans from the CARe Renal Consortium. In up to 8,110 participants, we performed meta-analyses of GWA and IBC array data for estimated glomerular filtration rate (eGFR), CKD (eGFR <60 mL/min/1.73 m(2)), urinary albumin-to-creatinine ratio (UACR), and microalbuminuria (UACR >30 mg/g) and interrogated the 250 kb flanking region around 24 SNPs previously identified in European Ancestry renal GWAS analyses. Findings were replicated in up to 4,358 African Americans. To assess function, individually identified genes were knocked down in zebrafish embryos by morpholino antisense oligonucleotides. Expression of kidney-specific genes was assessed by in situ hybridization, and glomerular filtration was evaluated by dextran clearance. Overall, 23 of 24 previously identified SNPs had direction-consistent associations with eGFR in African Americans, 2 of which achieved nominal significance (UMOD, PIP5K1B). Interrogation of the flanking regions uncovered 24 new index SNPs in African Americans, 12 of which were replicated (UMOD, ANXA9, GCKR, TFDP2, DAB2, VEGFA, ATXN2, GATM, SLC22A2, TMEM60, SLC6A13, and BCAS3). In addition, we identified 3 suggestive loci at DOK6 (p-value = 5.3{\texttimes}10(-7)) and FNDC1 (p-value = 3.0{\texttimes}10(-7)) for UACR, and KCNQ1 with eGFR (p = 3.6{\texttimes}10(-6)). Morpholino knockdown of kcnq1 in the zebrafish resulted in abnormal kidney development and filtration capacity. We identified several SNPs in association with eGFR in African Ancestry individuals, as well as 3 suggestive loci for UACR and eGFR. Functional genetic studies support a role for kcnq1 in glomerular development in zebrafish.

}, keywords = {Adaptor Proteins, Vesicular Transport, Adult, African Continental Ancestry Group, Aged, Animals, Female, Gene Knockdown Techniques, Genetic Association Studies, Genetic Loci, Genome-Wide Association Study, Glomerular Filtration Rate, Humans, KCNQ1 Potassium Channel, Kidney, Kidney Failure, Chronic, Male, Middle Aged, Neoplasm Proteins, Phenotype, Polymorphism, Single Nucleotide, Zebrafish}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1002264}, author = {Liu, Ching-Ti and Garnaas, Maija K and Tin, Adrienne and K{\"o}ttgen, Anna and Franceschini, Nora and Peralta, Carmen A and de Boer, Ian H and Lu, Xiaoning and Atkinson, Elizabeth and Ding, Jingzhong and Nalls, Michael and Shriner, Daniel and Coresh, Josef and Kutlar, Abdullah and Bibbins-Domingo, Kirsten and Siscovick, David and Akylbekova, Ermeg and Wyatt, Sharon and Astor, Brad and Mychaleckjy, Josef and Li, Man and Reilly, Muredach P and Townsend, Raymond R and Adeyemo, Adebowale and Zonderman, Alan B and de Andrade, Mariza and Turner, Stephen T and Mosley, Thomas H and Harris, Tamara B and Rotimi, Charles N and Liu, Yongmei and Kardia, Sharon L R and Evans, Michele K and Shlipak, Michael G and Kramer, Holly and Flessner, Michael F and Dreisbach, Albert W and Goessling, Wolfram and Cupples, L Adrienne and Kao, W Linda and Fox, Caroline S} } @article {1303, title = {Genetic determinants of lipid traits in diverse populations from the population architecture using genomics and epidemiology (PAGE) study.}, journal = {PLoS Genet}, volume = {7}, year = {2011}, month = {2011 Jun}, pages = {e1002138}, abstract = {

For the past five years, genome-wide association studies (GWAS) have identified hundreds of common variants associated with human diseases and traits, including high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and triglyceride (TG) levels. Approximately 95 loci associated with lipid levels have been identified primarily among populations of European ancestry. The Population Architecture using Genomics and Epidemiology (PAGE) study was established in 2008 to characterize GWAS-identified variants in diverse population-based studies. We genotyped 49 GWAS-identified SNPs associated with one or more lipid traits in at least two PAGE studies and across six racial/ethnic groups. We performed a meta-analysis testing for SNP associations with fasting HDL-C, LDL-C, and ln(TG) levels in self-identified European American (~20,000), African American (~9,000), American Indian (~6,000), Mexican American/Hispanic (~2,500), Japanese/East Asian (~690), and Pacific Islander/Native Hawaiian (~175) adults, regardless of lipid-lowering medication use. We replicated 55 of 60 (92\%) SNP associations tested in European Americans at p<0.05. Despite sufficient power, we were unable to replicate ABCA1 rs4149268 and rs1883025, CETP rs1864163, and TTC39B rs471364 previously associated with HDL-C and MAFB rs6102059 previously associated with LDL-C. Based on significance (p<0.05) and consistent direction of effect, a majority of replicated genotype-phentoype associations for HDL-C, LDL-C, and ln(TG) in European Americans generalized to African Americans (48\%, 61\%, and 57\%), American Indians (45\%, 64\%, and 77\%), and Mexican Americans/Hispanics (57\%, 56\%, and 86\%). Overall, 16 associations generalized across all three populations. For the associations that did not generalize, differences in effect sizes, allele frequencies, and linkage disequilibrium offer clues to the next generation of association studies for these traits.

}, keywords = {Adolescent, Adult, Aged, Aged, 80 and over, Continental Population Groups, Female, Gene Frequency, Genetics, Population, Genome-Wide Association Study, Humans, Linkage Disequilibrium, Lipid Metabolism, Lipoproteins, HDL, Lipoproteins, LDL, Male, Middle Aged, Molecular Epidemiology, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Risk Factors, Triglycerides, Young Adult}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1002138}, author = {Dumitrescu, Logan and Carty, Cara L and Taylor, Kira and Schumacher, Fredrick R and Hindorff, Lucia A and Ambite, Jos{\'e} L and Anderson, Garnet and Best, Lyle G and Brown-Gentry, Kristin and B{\r u}zkov{\'a}, Petra and Carlson, Christopher S and Cochran, Barbara and Cole, Shelley A and Devereux, Richard B and Duggan, Dave and Eaton, Charles B and Fornage, Myriam and Franceschini, Nora and Haessler, Jeff and Howard, Barbara V and Johnson, Karen C and Laston, Sandra and Kolonel, Laurence N and Lee, Elisa T and MacCluer, Jean W and Manolio, Teri A and Pendergrass, Sarah A and Quibrera, Miguel and Shohet, Ralph V and Wilkens, Lynne R and Haiman, Christopher A and Le Marchand, Lo{\"\i}c and Buyske, Steven and Kooperberg, Charles and North, Kari E and Crawford, Dana C} } @article {1311, title = {Genetic loci associated with plasma phospholipid n-3 fatty acids: a meta-analysis of genome-wide association studies from the CHARGE Consortium.}, journal = {PLoS Genet}, volume = {7}, year = {2011}, month = {2011 Jul}, pages = {e1002193}, abstract = {

Long-chain n-3 polyunsaturated fatty acids (PUFAs) can derive from diet or from α-linolenic acid (ALA) by elongation and desaturation. We investigated the association of common genetic variation with plasma phospholipid levels of the four major n-3 PUFAs by performing genome-wide association studies in five population-based cohorts comprising 8,866 subjects of European ancestry. Minor alleles of SNPs in FADS1 and FADS2 (desaturases) were associated with higher levels of ALA (p = 3 x 10$^{-}$$^{6}$$^{4}$) and lower levels of eicosapentaenoic acid (EPA, p = 5 x 10$^{-}$$^{5}$$^{8}$) and docosapentaenoic acid (DPA, p = 4 x 10$^{-}${\textonesuperior}$^{5}$$^{4}$). Minor alleles of SNPs in ELOVL2 (elongase) were associated with higher EPA (p = 2 x 10$^{-}${\textonesuperior}{\texttwosuperior}) and DPA (p = 1 x 10$^{-}$$^{4}${\textthreesuperior}) and lower docosahexaenoic acid (DHA, p = 1 x 10$^{-}${\textonesuperior}$^{5}$). In addition to genes in the n-3 pathway, we identified a novel association of DPA with several SNPs in GCKR (glucokinase regulator, p = 1 x 10$^{-}$$^{8}$). We observed a weaker association between ALA and EPA among carriers of the minor allele of a representative SNP in FADS2 (rs1535), suggesting a lower rate of ALA-to-EPA conversion in these subjects. In samples of African, Chinese, and Hispanic ancestry, associations of n-3 PUFAs were similar with a representative SNP in FADS1 but less consistent with a representative SNP in ELOVL2. Our findings show that common variation in n-3 metabolic pathway genes and in GCKR influences plasma phospholipid levels of n-3 PUFAs in populations of European ancestry and, for FADS1, in other ancestries.

}, keywords = {Alleles, Continental Population Groups, Fatty Acids, Omega-3, Female, Genetic Loci, Genome-Wide Association Study, Humans, Male, Metabolic Networks and Pathways, Polymorphism, Single Nucleotide}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1002193}, author = {Lemaitre, Rozenn N and Tanaka, Toshiko and Tang, Weihong and Manichaikul, Ani and Foy, Millennia and Kabagambe, Edmond K and Nettleton, Jennifer A and King, Irena B and Weng, Lu-Chen and Bhattacharya, Sayanti and Bandinelli, Stefania and Bis, Joshua C and Rich, Stephen S and Jacobs, David R and Cherubini, Antonio and McKnight, Barbara and Liang, Shuang and Gu, Xiangjun and Rice, Kenneth and Laurie, Cathy C and Lumley, Thomas and Browning, Brian L and Psaty, Bruce M and Chen, Yii-der I and Friedlander, Yechiel and Djouss{\'e}, Luc and Wu, Jason H Y and Siscovick, David S and Uitterlinden, Andr{\'e} G and Arnett, Donna K and Ferrucci, Luigi and Fornage, Myriam and Tsai, Michael Y and Mozaffarian, Dariush and Steffen, Lyn M} } @article {1284, title = {Genetic predictors of fibrin D-dimer levels in healthy adults.}, journal = {Circulation}, volume = {123}, year = {2011}, month = {2011 May 03}, pages = {1864-72}, abstract = {

BACKGROUND: Fibrin fragment D-dimer, one of several peptides produced when crosslinked fibrin is degraded by plasmin, is the most widely used clinical marker of activated blood coagulation. To identity genetic loci influencing D-dimer levels, we performed the first large-scale, genome-wide association search.

METHODS AND RESULTS: A genome-wide investigation of the genomic correlates of plasma D-dimer levels was conducted among 21 052 European-ancestry adults. Plasma levels of D-dimer were measured independently in each of 13 cohorts. Each study analyzed the association between ≈2.6 million genotyped and imputed variants across the 22 autosomal chromosomes and natural-log{\textendash}transformed D-dimer levels using linear regression in additive genetic models adjusted for age and sex. Among all variants, 74 exceeded the genome-wide significance threshold and marked 3 regions. At 1p22, rs12029080 (P=6.4{\texttimes}10(-52)) was 46.0 kb upstream from F3, coagulation factor III (tissue factor). At 1q24, rs6687813 (P=2.4{\texttimes}10(-14)) was 79.7 kb downstream of F5, coagulation factor V. At 4q32, rs13109457 (P=2.9{\texttimes}10(-18)) was located between 2 fibrinogen genes: 10.4 kb downstream from FGG and 3.0 kb upstream from FGA. Variants were associated with a 0.099-, 0.096-, and 0.061-unit difference, respectively, in natural-log{\textendash}transformed D-dimer and together accounted for 1.8\% of the total variance. When adjusted for nonsynonymous substitutions in F5 and FGA loci known to be associated with D-dimer levels, there was no evidence of an additional association at either locus.

CONCLUSIONS: Three genes were associated with fibrin D-dimer levels. Of these 3, the F3 association was the strongest, and has not been previously reported.

}, keywords = {Adult, Aged, Blood Coagulation, European Continental Ancestry Group, Factor V, Female, Fibrin Fibrinogen Degradation Products, Fibrinogen, Genetic Testing, Genome-Wide Association Study, Humans, Male, Middle Aged, Reference Values, Thromboplastin}, issn = {1524-4539}, doi = {10.1161/CIRCULATIONAHA.110.009480}, author = {Smith, Nicholas L and Huffman, Jennifer E and Strachan, David P and Huang, Jie and Dehghan, Abbas and Trompet, Stella and Lopez, Lorna M and Shin, So-Youn and Baumert, Jens and Vitart, Veronique and Bis, Joshua C and Wild, Sarah H and Rumley, Ann and Yang, Qiong and Uitterlinden, Andr{\'e} G and Stott, David J and Davies, Gail and Carter, Angela M and Thorand, Barbara and Polasek, Ozren and McKnight, Barbara and Campbell, Harry and Rudnicka, Alicja R and Chen, Ming-Huei and Buckley, Brendan M and Harris, Sarah E and Peters, Annette and Pulanic, Drazen and Lumley, Thomas and de Craen, Anton J M and Liewald, David C and Gieger, Christian and Campbell, Susan and Ford, Ian and Gow, Alan J and Luciano, Michelle and Porteous, David J and Guo, Xiuqing and Sattar, Naveed and Tenesa, Albert and Cushman, Mary and Slagboom, P Eline and Visscher, Peter M and Spector, Tim D and Illig, Thomas and Rudan, Igor and Bovill, Edwin G and Wright, Alan F and McArdle, Wendy L and Tofler, Geoffrey and Hofman, Albert and Westendorp, Rudi G J and Starr, John M and Grant, Peter J and Karakas, Mahir and Hastie, Nicholas D and Psaty, Bruce M and Wilson, James F and Lowe, Gordon D O and O{\textquoteright}Donnell, Christopher J and Witteman, Jacqueline C M and Jukema, J Wouter and Deary, Ian J and Soranzo, Nicole and Koenig, Wolfgang and Hayward, Caroline} } @article {1325, title = {Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk.}, journal = {Nature}, volume = {478}, year = {2011}, month = {2011 Sep 11}, pages = {103-9}, abstract = {

Blood pressure is a heritable trait influenced by several biological pathways and responsive to environmental stimuli. Over one billion people worldwide have hypertension (>=140 mm Hg systolic blood pressure or >=90 mm Hg diastolic blood pressure). Even small increments in blood pressure are associated with an increased risk of cardiovascular events. This genome-wide association study of systolic and diastolic blood pressure, which used a multi-stage design in 200,000 individuals of European descent, identified sixteen novel loci: six of these loci contain genes previously known or suspected to regulate blood pressure (GUCY1A3-GUCY1B3, NPR3-C5orf23, ADM, FURIN-FES, GOSR2, GNAS-EDN3); the other ten provide new clues to blood pressure physiology. A genetic risk score based on 29 genome-wide significant variants was associated with hypertension, left ventricular wall thickness, stroke and coronary artery disease, but not kidney disease or kidney function. We also observed associations with blood pressure in East Asian, South Asian and African ancestry individuals. Our findings provide new insights into the genetics and biology of blood pressure, and suggest potential novel therapeutic pathways for cardiovascular disease prevention.

}, keywords = {Africa, Asia, Blood Pressure, Cardiovascular Diseases, Coronary Artery Disease, Europe, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Hypertension, Kidney Diseases, Polymorphism, Single Nucleotide, Stroke}, issn = {1476-4687}, doi = {10.1038/nature10405}, author = {Ehret, Georg B and Munroe, Patricia B and Rice, Kenneth M and Bochud, Murielle and Johnson, Andrew D and Chasman, Daniel I and Smith, Albert V and Tobin, Martin D and Verwoert, Germaine C and Hwang, Shih-Jen and Pihur, Vasyl and Vollenweider, Peter and O{\textquoteright}Reilly, Paul F and Amin, Najaf and Bragg-Gresham, Jennifer L and Teumer, Alexander and Glazer, Nicole L and Launer, Lenore and Zhao, Jing Hua and Aulchenko, Yurii and Heath, Simon and S{\~o}ber, Siim and Parsa, Afshin and Luan, Jian{\textquoteright}an and Arora, Pankaj and Dehghan, Abbas and Zhang, Feng and Lucas, Gavin and Hicks, Andrew A and Jackson, Anne U and Peden, John F and Tanaka, Toshiko and Wild, Sarah H and Rudan, Igor and Igl, Wilmar and Milaneschi, Yuri and Parker, Alex N and Fava, Cristiano and Chambers, John C and Fox, Ervin R and Kumari, Meena and Go, Min Jin and van der Harst, Pim and Kao, Wen Hong Linda and Sj{\"o}gren, Marketa and Vinay, D G and Alexander, Myriam and Tabara, Yasuharu and Shaw-Hawkins, Sue and Whincup, Peter H and Liu, Yongmei and Shi, Gang and Kuusisto, Johanna and Tayo, Bamidele and Seielstad, Mark and Sim, Xueling and Nguyen, Khanh-Dung Hoang and Lehtim{\"a}ki, Terho and Matullo, Giuseppe and Wu, Ying and Gaunt, Tom R and Onland-Moret, N Charlotte and Cooper, Matthew N and Platou, Carl G P and Org, Elin and Hardy, Rebecca and Dahgam, Santosh and Palmen, Jutta and Vitart, Veronique and Braund, Peter S and Kuznetsova, Tatiana and Uiterwaal, Cuno S P M and Adeyemo, Adebowale and Palmas, Walter and Campbell, Harry and Ludwig, Barbara and Tomaszewski, Maciej and Tzoulaki, Ioanna and Palmer, Nicholette D and Aspelund, Thor and Garcia, Melissa and Chang, Yen-Pei C and O{\textquoteright}Connell, Jeffrey R and Steinle, Nanette I and Grobbee, Diederick E and Arking, Dan E and Kardia, Sharon L and Morrison, Alanna C and Hernandez, Dena and Najjar, Samer and McArdle, Wendy L and Hadley, David and Brown, Morris J and Connell, John M and Hingorani, Aroon D and Day, Ian N M and Lawlor, Debbie A and Beilby, John P and Lawrence, Robert W and Clarke, Robert and Hopewell, Jemma C and Ongen, Halit and Dreisbach, Albert W and Li, Yali and Young, J Hunter and Bis, Joshua C and K{\"a}h{\"o}nen, Mika and Viikari, Jorma and Adair, Linda S and Lee, Nanette R and Chen, Ming-Huei and Olden, Matthias and Pattaro, Cristian and Bolton, Judith A Hoffman and K{\"o}ttgen, Anna and Bergmann, Sven and Mooser, Vincent and Chaturvedi, Nish and Frayling, Timothy M and Islam, Muhammad and Jafar, Tazeen H and Erdmann, Jeanette and Kulkarni, Smita R and Bornstein, Stefan R and Gr{\"a}ssler, J{\"u}rgen and Groop, Leif and Voight, Benjamin F and Kettunen, Johannes and Howard, Philip and Taylor, Andrew and Guarrera, Simonetta and Ricceri, Fulvio and Emilsson, Valur and Plump, Andrew and Barroso, In{\^e}s and Khaw, Kay-Tee and Weder, Alan B and Hunt, Steven C and Sun, Yan V and Bergman, Richard N and Collins, Francis S and Bonnycastle, Lori L and Scott, Laura J and Stringham, Heather M and Peltonen, Leena and Perola, Markus and Vartiainen, Erkki and Brand, Stefan-Martin and Staessen, Jan A and Wang, Thomas J and Burton, Paul R and Soler Artigas, Maria and Dong, Yanbin and Snieder, Harold and Wang, Xiaoling and Zhu, Haidong and Lohman, Kurt K and Rudock, Megan E and Heckbert, Susan R and Smith, Nicholas L and Wiggins, Kerri L and Doumatey, Ayo and Shriner, Daniel and Veldre, Gudrun and Viigimaa, Margus and Kinra, Sanjay and Prabhakaran, Dorairaj and Tripathy, Vikal and Langefeld, Carl D and Rosengren, Annika and Thelle, Dag S and Corsi, Anna Maria and Singleton, Andrew and Forrester, Terrence and Hilton, Gina and McKenzie, Colin A and Salako, Tunde and Iwai, Naoharu and Kita, Yoshikuni and Ogihara, Toshio and Ohkubo, Takayoshi and Okamura, Tomonori and Ueshima, Hirotsugu and Umemura, Satoshi and Eyheramendy, Susana and Meitinger, Thomas and Wichmann, H-Erich and Cho, Yoon Shin and Kim, Hyung-Lae and Lee, Jong-Young and Scott, James and Sehmi, Joban S and Zhang, Weihua and Hedblad, Bo and Nilsson, Peter and Smith, George Davey and Wong, Andrew and Narisu, Narisu and Stan{\v c}{\'a}kov{\'a}, Alena and Raffel, Leslie J and Yao, Jie and Kathiresan, Sekar and O{\textquoteright}Donnell, Christopher J and Schwartz, Stephen M and Ikram, M Arfan and Longstreth, W T and Mosley, Thomas H and Seshadri, Sudha and Shrine, Nick R G and Wain, Louise V and Morken, Mario A and Swift, Amy J and Laitinen, Jaana and Prokopenko, Inga and Zitting, Paavo and Cooper, Jackie A and Humphries, Steve E and Danesh, John and Rasheed, Asif and Goel, Anuj and Hamsten, Anders and Watkins, Hugh and Bakker, Stephan J L and van Gilst, Wiek H and Janipalli, Charles S and Mani, K Radha and Yajnik, Chittaranjan S and Hofman, Albert and Mattace-Raso, Francesco U S and Oostra, Ben A and Demirkan, Ayse and Isaacs, Aaron and Rivadeneira, Fernando and Lakatta, Edward G and Orr{\`u}, Marco and Scuteri, Angelo and Ala-Korpela, Mika and Kangas, Antti J and Lyytik{\"a}inen, Leo-Pekka and Soininen, Pasi and Tukiainen, Taru and W{\"u}rtz, Peter and Ong, Rick Twee-Hee and D{\"o}rr, Marcus and Kroemer, Heyo K and V{\"o}lker, Uwe and V{\"o}lzke, Henry and Galan, Pilar and Hercberg, Serge and Lathrop, Mark and Zelenika, Diana and Deloukas, Panos and Mangino, Massimo and Spector, Tim D and Zhai, Guangju and Meschia, James F and Nalls, Michael A and Sharma, Pankaj and Terzic, Janos and Kumar, M V Kranthi and Denniff, Matthew and Zukowska-Szczechowska, Ewa and Wagenknecht, Lynne E and Fowkes, F Gerald R and Charchar, Fadi J and Schwarz, Peter E H and Hayward, Caroline and Guo, Xiuqing and Rotimi, Charles and Bots, Michiel L and Brand, Eva and Samani, Nilesh J and Polasek, Ozren and Talmud, Philippa J and Nyberg, Fredrik and Kuh, Diana and Laan, Maris and Hveem, Kristian and Palmer, Lyle J and van der Schouw, Yvonne T and Casas, Juan P and Mohlke, Karen L and Vineis, Paolo and Raitakari, Olli and Ganesh, Santhi K and Wong, Tien Y and Tai, E Shyong and Cooper, Richard S and Laakso, Markku and Rao, Dabeeru C and Harris, Tamara B and Morris, Richard W and Dominiczak, Anna F and Kivimaki, Mika and Marmot, Michael G and Miki, Tetsuro and Saleheen, Danish and Chandak, Giriraj R and Coresh, Josef and Navis, Gerjan and Salomaa, Veikko and Han, Bok-Ghee and Zhu, Xiaofeng and Kooner, Jaspal S and Melander, Olle and Ridker, Paul M and Bandinelli, Stefania and Gyllensten, Ulf B and Wright, Alan F and Wilson, James F and Ferrucci, Luigi and Farrall, Martin and Tuomilehto, Jaakko and Pramstaller, Peter P and Elosua, Roberto and Soranzo, Nicole and Sijbrands, Eric J G and Altshuler, David and Loos, Ruth J F and Shuldiner, Alan R and Gieger, Christian and Meneton, Pierre and Uitterlinden, Andr{\'e} G and Wareham, Nicholas J and Gudnason, Vilmundur and Rotter, Jerome I and Rettig, Rainer and Uda, Manuela and Strachan, David P and Witteman, Jacqueline C M and Hartikainen, Anna-Liisa and Beckmann, Jacques S and Boerwinkle, Eric and Vasan, Ramachandran S and Boehnke, Michael and Larson, Martin G and Jarvelin, Marjo-Riitta and Psaty, Bruce M and Abecasis, Goncalo R and Chakravarti, Aravinda and Elliott, Paul and van Duijn, Cornelia M and Newton-Cheh, Christopher and Levy, Daniel and Caulfield, Mark J and Johnson, Toby} } @article {1343, title = {Genetic variants of the NOTCH3 gene in the elderly and magnetic resonance imaging correlates of age-related cerebral small vessel disease.}, journal = {Brain}, volume = {134}, year = {2011}, month = {2011 Nov}, pages = {3384-97}, abstract = {

Cerebral small vessel disease-related brain lesions such as white matter lesions and lacunes are common findings of magnetic resonance imaging in the elderly. These lesions are thought to be major contributors to disability in old age, and risk factors that include age and hypertension have been established. The radiological, histopathologic and clinical phenotypes of age-related cerebral small vessel disease remarkably resemble autosomal dominant arteriopathy with subcortical infarcts and leucoencephalopathy, which is caused by mutations in NOTCH3. We hypothesized that genetic variations in NOTCH3 also play a role in age-related cerebral small vessel disease. We directly sequenced all 33 exons, the promoter and 3{\textquoteright}-untranslated region of NOTCH3 in 195 participants with either coalescent white matter lesions or lacunes and compared the results to 82 randomly selected participants with no focal changes on magnetic resonance images in the Austrian Stroke Prevention Study. We detected nine common and 33 rare single nucleotide polymorphisms, of which 20 were novel. All common single nucleotide polymorphisms were genotyped in the entire cohort (n = 888), and four of them, rs1043994, rs10404382, rs10423702 and rs1043997, were associated significantly with both the presence and progression of white matter lesions. The association was confined to hypertensives, a result which we replicated in the Cohorts for Heart and Ageing Research in Genomic Epidemiology Consortium on an independent sample of 4773 stroke-free hypertensive elderly individuals of European descent (P = 0.04). The 33 rare single nucleotide polymorphisms were scattered over the NOTCH3 gene with three being located in the promoter region, 24 in exons (18 non-synonymous), three in introns and three in the 3{\textquoteright}-untranslated region. None of the single nucleotide polymorphisms affected a cysteine residue. Sorting Intolerant From Tolerant, PolyPhen2 analyses and protein structure simulation consistently predicted six of the non-synonymous single nucleotide polymorphisms (H170R, P496L, V1183M, L1518M, D1823N and V1952M) to be functional, with four being exclusively or mainly detected in subjects with severe white matter lesions. In four individuals with rare non-synonymous single nucleotide polymorphisms, we noted anterior temporal lobe hyperintensity, hyperintensity in the external capsule, lacunar infarcts or subcortical lacunar lesions. None of the observed abnormalities were specific to cerebral autosomal dominant arteriopathy with subcortical infarcts and leucoencephalopathy. This is the first comprehensive study investigating (i) the frequency of NOTCH3 variations in community-dwelling elderly and (ii) their effect on cerebral small vessel disease related magnetic resonance imaging phenotypes. We show that the NOTCH3 gene is highly variable with both common and rare single nucleotide polymorphisms spreading across the gene, and that common variants at the NOTCH3 gene increase the risk of age-related white matter lesions in hypertensives. Additional investigations are required to explore the biological mechanisms underlying the observed association.

}, keywords = {Aged, Aged, 80 and over, Alleles, Brain, Cerebral Small Vessel Diseases, Exons, Female, Follow-Up Studies, Genetic Association Studies, Genotype, Humans, Hypertension, Magnetic Resonance Imaging, Male, Middle Aged, Phenotype, Promoter Regions, Genetic, Prospective Studies, Receptor, Notch3, Receptors, Notch}, issn = {1460-2156}, doi = {10.1093/brain/awr252}, author = {Schmidt, Helena and Zeginigg, Marion and Wiltgen, Marco and Freudenberger, Paul and Petrovic, Katja and Cavalieri, Margherita and Gider, Pierre and Enzinger, Christian and Fornage, Myriam and Debette, Stephanie and Rotter, Jerome I and Ikram, Mohammad A and Launer, Lenore J and Schmidt, Reinhold} } @article {1301, title = {Genetic variation near IRS1 associates with reduced adiposity and an impaired metabolic profile.}, journal = {Nat Genet}, volume = {43}, year = {2011}, month = {2011 Jun 26}, pages = {753-60}, abstract = {

Genome-wide association studies have identified 32 loci influencing body mass index, but this measure does not distinguish lean from fat mass. To identify adiposity loci, we meta-analyzed associations between \~{}2.5 million SNPs and body fat percentage from 36,626 individuals and followed up the 14 most significant (P < 10(-6)) independent loci in 39,576 individuals. We confirmed a previously established adiposity locus in FTO (P = 3 {\texttimes} 10(-26)) and identified two new loci associated with body fat percentage, one near IRS1 (P = 4 {\texttimes} 10(-11)) and one near SPRY2 (P = 3 {\texttimes} 10(-8)). Both loci contain genes with potential links to adipocyte physiology. Notably, the body-fat-decreasing allele near IRS1 is associated with decreased IRS1 expression and with an impaired metabolic profile, including an increased visceral to subcutaneous fat ratio, insulin resistance, dyslipidemia, risk of diabetes and coronary artery disease and decreased adiponectin levels. Our findings provide new insights into adiposity and insulin resistance.

}, keywords = {Adiponectin, Adiposity, Alleles, Body Fat Distribution, Body Mass Index, Body Weight, Female, Genetic Variation, Genome-Wide Association Study, Humans, Insulin Receptor Substrate Proteins, Intracellular Signaling Peptides and Proteins, Male, Membrane Proteins, Meta-Analysis as Topic, Metabolome, Obesity, Polymorphism, Single Nucleotide, Subcutaneous Fat}, issn = {1546-1718}, doi = {10.1038/ng.866}, author = {Kilpel{\"a}inen, Tuomas O and Zillikens, M Carola and Stan{\v c}{\'a}kov{\'a}, Alena and Finucane, Francis M and Ried, Janina S and Langenberg, Claudia and Zhang, Weihua and Beckmann, Jacques S and Luan, Jian{\textquoteright}an and Vandenput, Liesbeth and Styrkarsdottir, Unnur and Zhou, Yanhua and Smith, Albert Vernon and Zhao, Jing-Hua and Amin, Najaf and Vedantam, Sailaja and Shin, So-Youn and Haritunians, Talin and Fu, Mao and Feitosa, Mary F and Kumari, Meena and Halldorsson, Bjarni V and Tikkanen, Emmi and Mangino, Massimo and Hayward, Caroline and Song, Ci and Arnold, Alice M and Aulchenko, Yurii S and Oostra, Ben A and Campbell, Harry and Cupples, L Adrienne and Davis, Kathryn E and D{\"o}ring, Angela and Eiriksdottir, Gudny and Estrada, Karol and Fern{\'a}ndez-Real, Jos{\'e} Manuel and Garcia, Melissa and Gieger, Christian and Glazer, Nicole L and Guiducci, Candace and Hofman, Albert and Humphries, Steve E and Isomaa, Bo and Jacobs, Leonie C and Jula, Antti and Karasik, David and Karlsson, Magnus K and Khaw, Kay-Tee and Kim, Lauren J and Kivimaki, Mika and Klopp, Norman and Kuhnel, Brigitte and Kuusisto, Johanna and Liu, Yongmei and Ljunggren, Osten and Lorentzon, Mattias and Luben, Robert N and McKnight, Barbara and Mellstr{\"o}m, Dan and Mitchell, Braxton D and Mooser, Vincent and Moreno, Jos{\'e} Maria and M{\"a}nnist{\"o}, Satu and O{\textquoteright}Connell, Jeffery R and Pascoe, Laura and Peltonen, Leena and Peral, Bel{\'e}n and Perola, Markus and Psaty, Bruce M and Salomaa, Veikko and Savage, David B and Semple, Robert K and Skaric-Juric, Tatjana and Sigurdsson, Gunnar and Song, Kijoung S and Spector, Timothy D and Syv{\"a}nen, Ann-Christine and Talmud, Philippa J and Thorleifsson, Gudmar and Thorsteinsdottir, Unnur and Uitterlinden, Andr{\'e} G and van Duijn, Cornelia M and Vidal-Puig, Antonio and Wild, Sarah H and Wright, Alan F and Clegg, Deborah J and Schadt, Eric and Wilson, James F and Rudan, Igor and Ripatti, Samuli and Borecki, Ingrid B and Shuldiner, Alan R and Ingelsson, Erik and Jansson, John-Olov and Kaplan, Robert C and Gudnason, Vilmundur and Harris, Tamara B and Groop, Leif and Kiel, Douglas P and Rivadeneira, Fernando and Walker, Mark and Barroso, In{\^e}s and Vollenweider, Peter and Waeber, G{\'e}rard and Chambers, John C and Kooner, Jaspal S and Soranzo, Nicole and Hirschhorn, Joel N and Stefansson, Kari and Wichmann, H-Erich and Ohlsson, Claes and O{\textquoteright}Rahilly, Stephen and Wareham, Nicholas J and Speliotes, Elizabeth K and Fox, Caroline S and Laakso, Markku and Loos, Ruth J F} } @article {1287, title = {Genome-wide association analysis of soluble ICAM-1 concentration reveals novel associations at the NFKBIK, PNPLA3, RELA, and SH2B3 loci.}, journal = {PLoS Genet}, volume = {7}, year = {2011}, month = {2011 Apr}, pages = {e1001374}, abstract = {

Soluble ICAM-1 (sICAM-1) is an endothelium-derived inflammatory marker that has been associated with diverse conditions such as myocardial infarction, diabetes, stroke, and malaria. Despite evidence for a heritable component to sICAM-1 levels, few genetic loci have been identified so far. To comprehensively address this issue, we performed a genome-wide association analysis of sICAM-1 concentration in 22,435 apparently healthy women from the Women{\textquoteright}s Genome Health Study. While our results confirm the previously reported associations at the ABO and ICAM1 loci, four novel associations were identified in the vicinity of NFKBIK (rs3136642, P = 5.4 {\texttimes} 10(-9)), PNPLA3 (rs738409, P  =  5.8 {\texttimes} 10(-9)), RELA (rs1049728, P =  2.7 {\texttimes} 10(-16)), and SH2B3 (rs3184504, P =  2.9 {\texttimes} 10(-17)). Two loci, NFKBIB and RELA, are involved in NFKB signaling pathway; PNPLA3 is known for its association with fatty liver disease; and SH3B2 has been associated with a multitude of traits and disease including myocardial infarction. These associations provide insights into the genetic regulation of sICAM-1 levels and implicate these loci in the regulation of endothelial function.

}, keywords = {ABO Blood-Group System, Cohort Studies, Female, Gene Frequency, Genetic Loci, Genome, Human, Genome-Wide Association Study, Genotype, Humans, I-kappa B Kinase, Intercellular Adhesion Molecule-1, Lipase, Membrane Proteins, Models, Genetic, Multifactorial Inheritance, Polymorphism, Single Nucleotide, Proteins, Transcription Factor RelA}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1001374}, author = {Par{\'e}, Guillaume and Ridker, Paul M and Rose, Lynda and Barbalic, Maja and Dupuis, Jos{\'e}e and Dehghan, Abbas and Bis, Joshua C and Benjamin, Emelia J and Shiffman, Dov and Parker, Alexander N and Chasman, Daniel I} } @article {6096, title = {Genome-wide association and large-scale follow up identifies 16 new loci influencing lung function.}, journal = {Nat Genet}, volume = {43}, year = {2011}, month = {2011 Sep 25}, pages = {1082-90}, abstract = {

Pulmonary function measures reflect respiratory health and are used in the diagnosis of chronic obstructive pulmonary disease. We tested genome-wide association with forced expiratory volume in 1 second and the ratio of forced expiratory volume in 1 second to forced vital capacity in 48,201 individuals of European ancestry with follow up of the top associations in up to an additional 46,411 individuals. We identified new regions showing association (combined P < 5 {\texttimes} 10(-8)) with pulmonary function in or near MFAP2, TGFB2, HDAC4, RARB, MECOM (also known as EVI1), SPATA9, ARMC2, NCR3, ZKSCAN3, CDC123, C10orf11, LRP1, CCDC38, MMP15, CFDP1 and KCNE2. Identification of these 16 new loci may provide insight into the molecular mechanisms regulating pulmonary function and into molecular targets for future therapy to alleviate reduced lung function.

}, keywords = {Child, European Continental Ancestry Group, Genome-Wide Association Study, Humans, Pulmonary Disease, Chronic Obstructive, Respiratory Function Tests}, issn = {1546-1718}, doi = {10.1038/ng.941}, author = {Soler Artigas, Maria and Loth, Daan W and Wain, Louise V and Gharib, Sina A and Obeidat, Ma{\textquoteright}en and Tang, Wenbo and Zhai, Guangju and Zhao, Jing Hua and Smith, Albert Vernon and Huffman, Jennifer E and Albrecht, Eva and Jackson, Catherine M and Evans, David M and Cadby, Gemma and Fornage, Myriam and Manichaikul, Ani and Lopez, Lorna M and Johnson, Toby and Aldrich, Melinda C and Aspelund, Thor and Barroso, In{\^e}s and Campbell, Harry and Cassano, Patricia A and Couper, David J and Eiriksdottir, Gudny and Franceschini, Nora and Garcia, Melissa and Gieger, Christian and Gislason, Gauti Kjartan and Grkovic, Ivica and Hammond, Christopher J and Hancock, Dana B and Harris, Tamara B and Ramasamy, Adaikalavan and Heckbert, Susan R and Heli{\"o}vaara, Markku and Homuth, Georg and Hysi, Pirro G and James, Alan L and Jankovic, Stipan and Joubert, Bonnie R and Karrasch, Stefan and Klopp, Norman and Koch, Beate and Kritchevsky, Stephen B and Launer, Lenore J and Liu, Yongmei and Loehr, Laura R and Lohman, Kurt and Loos, Ruth J F and Lumley, Thomas and Al Balushi, Khalid A and Ang, Wei Q and Barr, R Graham and Beilby, John and Blakey, John D and Boban, Mladen and Boraska, Vesna and Brisman, Jonas and Britton, John R and Brusselle, Guy G and Cooper, Cyrus and Curjuric, Ivan and Dahgam, Santosh and Deary, Ian J and Ebrahim, Shah and Eijgelsheim, Mark and Francks, Clyde and Gaysina, Darya and Granell, Raquel and Gu, Xiangjun and Hankinson, John L and Hardy, Rebecca and Harris, Sarah E and Henderson, John and Henry, Amanda and Hingorani, Aroon D and Hofman, Albert and Holt, Patrick G and Hui, Jennie and Hunter, Michael L and Imboden, Medea and Jameson, Karen A and Kerr, Shona M and Kolcic, Ivana and Kronenberg, Florian and Liu, Jason Z and Marchini, Jonathan and McKeever, Tricia and Morris, Andrew D and Olin, Anna-Carin and Porteous, David J and Postma, Dirkje S and Rich, Stephen S and Ring, Susan M and Rivadeneira, Fernando and Rochat, Thierry and Sayer, Avan Aihie and Sayers, Ian and Sly, Peter D and Smith, George Davey and Sood, Akshay and Starr, John M and Uitterlinden, Andr{\'e} G and Vonk, Judith M and Wannamethee, S Goya and Whincup, Peter H and Wijmenga, Cisca and Williams, O Dale and Wong, Andrew and Mangino, Massimo and Marciante, Kristin D and McArdle, Wendy L and Meibohm, Bernd and Morrison, Alanna C and North, Kari E and Omenaas, Ernst and Palmer, Lyle J and Pietil{\"a}inen, Kirsi H and Pin, Isabelle and Pola Sbreve Ek, Ozren and Pouta, Anneli and Psaty, Bruce M and Hartikainen, Anna-Liisa and Rantanen, Taina and Ripatti, Samuli and Rotter, Jerome I and Rudan, Igor and Rudnicka, Alicja R and Schulz, Holger and Shin, So-Youn and Spector, Tim D and Surakka, Ida and Vitart, Veronique and V{\"o}lzke, Henry and Wareham, Nicholas J and Warrington, Nicole M and Wichmann, H-Erich and Wild, Sarah H and Wilk, Jemma B and Wjst, Matthias and Wright, Alan F and Zgaga, Lina and Zemunik, Tatijana and Pennell, Craig E and Nyberg, Fredrik and Kuh, Diana and Holloway, John W and Boezen, H Marike and Lawlor, Debbie A and Morris, Richard W and Probst-Hensch, Nicole and Kaprio, Jaakko and Wilson, James F and Hayward, Caroline and K{\"a}h{\"o}nen, Mika and Heinrich, Joachim and Musk, Arthur W and Jarvis, Deborah L and Gl{\"a}ser, Sven and Jarvelin, Marjo-Riitta and Ch Stricker, Bruno H and Elliott, Paul and O{\textquoteright}Connor, George T and Strachan, David P and London, Stephanie J and Hall, Ian P and Gudnason, Vilmundur and Tobin, Martin D} } @article {1298, title = {Genome-wide association studies of cerebral white matter lesion burden: the CHARGE consortium.}, journal = {Ann Neurol}, volume = {69}, year = {2011}, month = {2011 Jun}, pages = {928-39}, abstract = {

OBJECTIVE: White matter hyperintensities (WMHs) detectable by magnetic resonance imaging are part of the spectrum of vascular injury associated with aging of the brain and are thought to reflect ischemic damage to the small deep cerebral vessels. WMHs are associated with an increased risk of cognitive and motor dysfunction, dementia, depression, and stroke. Despite a significant heritability, few genetic loci influencing WMH burden have been identified.

METHODS: We performed a meta-analysis of genome-wide association studies (GWASs) for WMH burden in 9,361 stroke-free individuals of European descent from 7 community-based cohorts. Significant findings were tested for replication in 3,024 individuals from 2 additional cohorts.

RESULTS: We identified 6 novel risk-associated single nucleotide polymorphisms (SNPs) in 1 locus on chromosome 17q25 encompassing 6 known genes including WBP2, TRIM65, TRIM47, MRPL38, FBF1, and ACOX1. The most significant association was for rs3744028 (p(discovery) = 4.0 {\texttimes} 10(-9) ; p(replication) = 1.3 {\texttimes} 10(-7) ; p(combined) = 4.0 {\texttimes} 10(-15) ). Other SNPs in this region also reaching genome-wide significance were rs9894383 (p = 5.3 {\texttimes} 10(-9) ), rs11869977 (p = 5.7 {\texttimes} 10(-9) ), rs936393 (p = 6.8 {\texttimes} 10(-9) ), rs3744017 (p = 7.3 {\texttimes} 10(-9) ), and rs1055129 (p = 4.1 {\texttimes} 10(-8) ). Variant alleles at these loci conferred a small increase in WMH burden (4-8\% of the overall mean WMH burden in the sample).

INTERPRETATION: This large GWAS of WMH burden in community-based cohorts of individuals of European descent identifies a novel locus on chromosome 17. Further characterization of this locus may provide novel insights into the pathogenesis of cerebral WMH.

}, keywords = {Aged, Aged, 80 and over, Cerebral Cortex, Chromosomes, Human, Pair 17, Cognition Disorders, Cohort Studies, European Continental Ancestry Group, Female, Gene Frequency, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Leukoencephalopathies, Magnetic Resonance Imaging, Male, Middle Aged, Movement Disorders, Nerve Fibers, Myelinated, Polymorphism, Single Nucleotide, Residence Characteristics, RNA, Messenger}, issn = {1531-8249}, doi = {10.1002/ana.22403}, author = {Fornage, Myriam and Debette, Stephanie and Bis, Joshua C and Schmidt, Helena and Ikram, M Arfan and Dufouil, Carole and Sigurdsson, Sigurdur and Lumley, Thomas and DeStefano, Anita L and Fazekas, Franz and Vrooman, Henri A and Shibata, Dean K and Maillard, Pauline and Zijdenbos, Alex and Smith, Albert V and Gudnason, Haukur and de Boer, Renske and Cushman, Mary and Mazoyer, Bernard and Heiss, Gerardo and Vernooij, Meike W and Enzinger, Christian and Glazer, Nicole L and Beiser, Alexa and Knopman, David S and Cavalieri, Margherita and Niessen, Wiro J and Harris, Tamara B and Petrovic, Katja and Lopez, Oscar L and Au, Rhoda and Lambert, Jean-Charles and Hofman, Albert and Gottesman, Rebecca F and Garcia, Melissa and Heckbert, Susan R and Atwood, Larry D and Catellier, Diane J and Uitterlinden, Andr{\'e} G and Yang, Qiong and Smith, Nicholas L and Aspelund, Thor and Romero, Jose R and Rice, Kenneth and Taylor, Kent D and Nalls, Michael A and Rotter, Jerome I and Sharrett, Richey and van Duijn, Cornelia M and Amouyel, Philippe and Wolf, Philip A and Gudnason, Vilmundur and van der Lugt, Aad and Boerwinkle, Eric and Psaty, Bruce M and Seshadri, Sudha and Tzourio, Christophe and Breteler, Monique M B and Mosley, Thomas H and Schmidt, Reinhold and Longstreth, W T and DeCarli, Charles and Launer, Lenore J} } @article {1305, title = {Genome-wide association study for serum urate concentrations and gout among African Americans identifies genomic risk loci and a novel URAT1 loss-of-function allele.}, journal = {Hum Mol Genet}, volume = {20}, year = {2011}, month = {2011 Oct 15}, pages = {4056-68}, abstract = {

Serum urate concentrations are highly heritable and elevated serum urate is a key risk factor for gout. Genome-wide association studies (GWAS) of serum urate in African American (AA) populations are lacking. We conducted a meta-analysis of GWAS of serum urate levels and gout among 5820 AA and a large candidate gene study among 6890 AA and 21 708 participants of European ancestry (EA) within the Candidate Gene Association Resource Consortium. Findings were tested for replication among 1996 independent AA individuals, and evaluated for their association among 28 283 EA participants of the CHARGE Consortium. Functional studies were conducted using (14)C-urate transport assays in mammalian Chinese hamster ovary cells. In the discovery GWAS of serum urate, three loci achieved genome-wide significance (P< 5.0 {\texttimes} 10(-8)): a novel locus near SGK1/SLC2A12 on chromosome 6 (rs9321453, P= 1.0 {\texttimes} 10(-9)), and two loci previously identified in EA participants, SLC2A9 (P= 3.8 {\texttimes} 10(-32)) and SLC22A12 (P= 2.1 {\texttimes} 10(-10)). A novel rare non-synonymous variant of large effect size in SLC22A12, rs12800450 (minor allele frequency 0.01, G65W), was identified and replicated (beta -1.19 mg/dl, P= 2.7 {\texttimes} 10(-16)). (14)C-urate transport assays showed reduced urate transport for the G65W URAT1 mutant. Finally, in analyses of 11 loci previously associated with serum urate in EA individuals, 10 of 11 lead single-nucleotide polymorphisms showed direction-consistent association with urate among AA. In summary, we identified and replicated one novel locus in association with serum urate levels and experimentally characterize the novel G65W variant in URAT1 as a functional allele. Our data support the importance of multi-ethnic GWAS in the identification of novel risk loci as well as functional variants.

}, keywords = {Adult, African Americans, Aged, Animals, CHO Cells, Cricetinae, European Continental Ancestry Group, Female, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Gout, Humans, Loss of Heterozygosity, Male, Middle Aged, Organic Anion Transporters, Organic Cation Transport Proteins, Polymorphism, Single Nucleotide, Uric Acid, Young Adult}, issn = {1460-2083}, doi = {10.1093/hmg/ddr307}, author = {Tin, Adrienne and Woodward, Owen M and Kao, Wen Hong Linda and Liu, Ching-Ti and Lu, Xiaoning and Nalls, Michael A and Shriner, Daniel and Semmo, Mariam and Akylbekova, Ermeg L and Wyatt, Sharon B and Hwang, Shih-Jen and Yang, Qiong and Zonderman, Alan B and Adeyemo, Adebowale A and Palmer, Cameron and Meng, Yan and Reilly, Muredach and Shlipak, Michael G and Siscovick, David and Evans, Michele K and Rotimi, Charles N and Flessner, Michael F and K{\"o}ttgen, Michael and Cupples, L Adrienne and Fox, Caroline S and K{\"o}ttgen, Anna} } @article {1261, title = {A genome-wide association study identifies novel loci associated with circulating IGF-I and IGFBP-3.}, journal = {Hum Mol Genet}, volume = {20}, year = {2011}, month = {2011 Mar 15}, pages = {1241-51}, abstract = {

Insulin-like growth factor-I (IGF-I) and insulin-like growth factor-binding protein-3 (IGFBP-3) are involved in cell replication, proliferation, differentiation, protein synthesis, carbohydrate homeostasis and bone metabolism. Circulating IGF-I and IGFBP-3 concentrations predict anthropometric traits and risk of cancer and cardiovascular disease. In a genome-wide association study of 10 280 middle-aged and older men and women from four community-based cohort studies, we confirmed a known association of single nucleotide polymorphisms in the IGFBP3 gene region on chromosome 7p12.3 with IGFBP-3 concentrations using a significance threshold of P < 5 {\texttimes} 10(-8) (P = 3.3 {\texttimes} 10(-101)). Furthermore, the same IGFBP3 gene locus (e.g. rs11977526) that was associated with IGFBP-3 concentrations was also associated with the opposite direction of effect, with IGF-I concentration after adjustment for IGFBP-3 concentration (P = 1.9 {\texttimes} 10(-26)). A novel and independent locus on chromosome 7p12.3 (rs700752) had genome-wide significant associations with higher IGFBP-3 (P = 4.4 {\texttimes} 10(-21)) and higher IGF-I (P = 4.9 {\texttimes} 10(-9)) concentrations; when the two measurements were adjusted for one another, the IGF-I association was attenuated but the IGFBP-3 association was not. Two additional loci demonstrated genome-wide significant associations with IGFBP-3 concentration (rs1065656, chromosome 16p13.3, P = 1.2 {\texttimes} 10(-11), IGFALS, a confirmatory finding; and rs4234798, chromosome 4p16.1, P = 4.5 {\texttimes} 10(-10), SORCS2, a novel finding). Together, the four genome-wide significant loci explained 6.5\% of the population variation in IGFBP-3 concentration. Furthermore, we observed a borderline statistically significant association between IGF-I concentration and FOXO3 (rs2153960, chromosome 6q21, P = 5.1 {\texttimes} 10(-7)), a locus associated with longevity. These genetic loci deserve further investigation to elucidate the biological basis for the observed associations and clarify their possible role in IGF-mediated regulation of cell growth and metabolism.

}, keywords = {Aged, Chromosomes, Human, Pair 7, Cohort Studies, European Continental Ancestry Group, Female, Genome-Wide Association Study, Humans, Insulin-Like Growth Factor Binding Protein 3, Insulin-Like Growth Factor I, Male, Polymorphism, Single Nucleotide}, issn = {1460-2083}, doi = {10.1093/hmg/ddq560}, author = {Kaplan, Robert C and Petersen, Ann-Kristin and Chen, Ming-Huei and Teumer, Alexander and Glazer, Nicole L and D{\"o}ring, Angela and Lam, Carolyn S P and Friedrich, Nele and Newman, Anne and M{\"u}ller, Martina and Yang, Qiong and Homuth, Georg and Cappola, Anne and Klopp, Norman and Smith, Holly and Ernst, Florian and Psaty, Bruce M and Wichmann, H-Erich and Sawyer, Douglas B and Biffar, Reiner and Rotter, Jerome I and Gieger, Christian and Sullivan, Lisa S and V{\"o}lzke, Henry and Rice, Kenneth and Spyroglou, Ariadni and Kroemer, Heyo K and Ida Chen, Y-D and Manolopoulou, Jenny and Nauck, Matthias and Strickler, Howard D and Goodarzi, Mark O and Reincke, Martin and Pollak, Michael N and Bidlingmaier, Martin and Vasan, Ramachandran S and Wallaschofski, Henri} } @article {1324, title = {Genome-wide association study identifies six new loci influencing pulse pressure and mean arterial pressure.}, journal = {Nat Genet}, volume = {43}, year = {2011}, month = {2011 Sep 11}, pages = {1005-11}, abstract = {

Numerous genetic loci have been associated with systolic blood pressure (SBP) and diastolic blood pressure (DBP) in Europeans. We now report genome-wide association studies of pulse pressure (PP) and mean arterial pressure (MAP). In discovery (N = 74,064) and follow-up studies (N = 48,607), we identified at genome-wide significance (P = 2.7 {\texttimes} 10(-8) to P = 2.3 {\texttimes} 10(-13)) four new PP loci (at 4q12 near CHIC2, 7q22.3 near PIK3CG, 8q24.12 in NOV and 11q24.3 near ADAMTS8), two new MAP loci (3p21.31 in MAP4 and 10q25.3 near ADRB1) and one locus associated with both of these traits (2q24.3 near FIGN) that has also recently been associated with SBP in east Asians. For three of the new PP loci, the estimated effect for SBP was opposite of that for DBP, in contrast to the majority of common SBP- and DBP-associated variants, which show concordant effects on both traits. These findings suggest new genetic pathways underlying blood pressure variation, some of which may differentially influence SBP and DBP.

}, keywords = {Arteries, Blood Pressure, Case-Control Studies, Follow-Up Studies, Genetic Loci, Genome-Wide Association Study, Humans, Hypertension, Linkage Disequilibrium, Polymorphism, Single Nucleotide}, issn = {1546-1718}, doi = {10.1038/ng.922}, author = {Wain, Louise V and Verwoert, Germaine C and O{\textquoteright}Reilly, Paul F and Shi, Gang and Johnson, Toby and Johnson, Andrew D and Bochud, Murielle and Rice, Kenneth M and Henneman, Peter and Smith, Albert V and Ehret, Georg B and Amin, Najaf and Larson, Martin G and Mooser, Vincent and Hadley, David and D{\"o}rr, Marcus and Bis, Joshua C and Aspelund, Thor and Esko, T{\~o}nu and Janssens, A Cecile J W and Zhao, Jing Hua and Heath, Simon and Laan, Maris and Fu, Jingyuan and Pistis, Giorgio and Luan, Jian{\textquoteright}an and Arora, Pankaj and Lucas, Gavin and Pirastu, Nicola and Pichler, Irene and Jackson, Anne U and Webster, Rebecca J and Zhang, Feng and Peden, John F and Schmidt, Helena and Tanaka, Toshiko and Campbell, Harry and Igl, Wilmar and Milaneschi, Yuri and Hottenga, Jouke-Jan and Vitart, Veronique and Chasman, Daniel I and Trompet, Stella and Bragg-Gresham, Jennifer L and Alizadeh, Behrooz Z and Chambers, John C and Guo, Xiuqing and Lehtim{\"a}ki, Terho and Kuhnel, Brigitte and Lopez, Lorna M and Polasek, Ozren and Boban, Mladen and Nelson, Christopher P and Morrison, Alanna C and Pihur, Vasyl and Ganesh, Santhi K and Hofman, Albert and Kundu, Suman and Mattace-Raso, Francesco U S and Rivadeneira, Fernando and Sijbrands, Eric J G and Uitterlinden, Andr{\'e} G and Hwang, Shih-Jen and Vasan, Ramachandran S and Wang, Thomas J and Bergmann, Sven and Vollenweider, Peter and Waeber, G{\'e}rard and Laitinen, Jaana and Pouta, Anneli and Zitting, Paavo and McArdle, Wendy L and Kroemer, Heyo K and V{\"o}lker, Uwe and V{\"o}lzke, Henry and Glazer, Nicole L and Taylor, Kent D and Harris, Tamara B and Alavere, Helene and Haller, Toomas and Keis, Aime and Tammesoo, Mari-Liis and Aulchenko, Yurii and Barroso, In{\^e}s and Khaw, Kay-Tee and Galan, Pilar and Hercberg, Serge and Lathrop, Mark and Eyheramendy, Susana and Org, Elin and S{\~o}ber, Siim and Lu, Xiaowen and Nolte, Ilja M and Penninx, Brenda W and Corre, Tanguy and Masciullo, Corrado and Sala, Cinzia and Groop, Leif and Voight, Benjamin F and Melander, Olle and O{\textquoteright}Donnell, Christopher J and Salomaa, Veikko and d{\textquoteright}Adamo, Adamo Pio and Fabretto, Antonella and Faletra, Flavio and Ulivi, Sheila and Del Greco, Fabiola M and Facheris, Maurizio and Collins, Francis S and Bergman, Richard N and Beilby, John P and Hung, Joseph and Musk, A William and Mangino, Massimo and Shin, So-Youn and Soranzo, Nicole and Watkins, Hugh and Goel, Anuj and Hamsten, Anders and Gider, Pierre and Loitfelder, Marisa and Zeginigg, Marion and Hernandez, Dena and Najjar, Samer S and Navarro, Pau and Wild, Sarah H and Corsi, Anna Maria and Singleton, Andrew and de Geus, Eco J C and Willemsen, Gonneke and Parker, Alex N and Rose, Lynda M and Buckley, Brendan and Stott, David and Orr{\`u}, Marco and Uda, Manuela and van der Klauw, Melanie M and Zhang, Weihua and Li, Xinzhong and Scott, James and Chen, Yii-Der Ida and Burke, Gregory L and K{\"a}h{\"o}nen, Mika and Viikari, Jorma and D{\"o}ring, Angela and Meitinger, Thomas and Davies, Gail and Starr, John M and Emilsson, Valur and Plump, Andrew and Lindeman, Jan H and Hoen, Peter A C {\textquoteright}t and K{\"o}nig, Inke R and Felix, Janine F and Clarke, Robert and Hopewell, Jemma C and Ongen, Halit and Breteler, Monique and Debette, Stephanie and DeStefano, Anita L and Fornage, Myriam and Mitchell, Gary F and Smith, Nicholas L and Holm, Hilma and Stefansson, Kari and Thorleifsson, Gudmar and Thorsteinsdottir, Unnur and Samani, Nilesh J and Preuss, Michael and Rudan, Igor and Hayward, Caroline and Deary, Ian J and Wichmann, H-Erich and Raitakari, Olli T and Palmas, Walter and Kooner, Jaspal S and Stolk, Ronald P and Jukema, J Wouter and Wright, Alan F and Boomsma, Dorret I and Bandinelli, Stefania and Gyllensten, Ulf B and Wilson, James F and Ferrucci, Luigi and Schmidt, Reinhold and Farrall, Martin and Spector, Tim D and Palmer, Lyle J and Tuomilehto, Jaakko and Pfeufer, Arne and Gasparini, Paolo and Siscovick, David and Altshuler, David and Loos, Ruth J F and Toniolo, Daniela and Snieder, Harold and Gieger, Christian and Meneton, Pierre and Wareham, Nicholas J and Oostra, Ben A and Metspalu, Andres and Launer, Lenore and Rettig, Rainer and Strachan, David P and Beckmann, Jacques S and Witteman, Jacqueline C M and Erdmann, Jeanette and van Dijk, Ko Willems and Boerwinkle, Eric and Boehnke, Michael and Ridker, Paul M and Jarvelin, Marjo-Riitta and Chakravarti, Aravinda and Abecasis, Goncalo R and Gudnason, Vilmundur and Newton-Cheh, Christopher and Levy, Daniel and Munroe, Patricia B and Psaty, Bruce M and Caulfield, Mark J and Rao, Dabeeru C and Tobin, Martin D and Elliott, Paul and van Duijn, Cornelia M} } @article {1307, title = {A genome-wide association study of aging.}, journal = {Neurobiol Aging}, volume = {32}, year = {2011}, month = {2011 Nov}, pages = {2109.e15-28}, abstract = {

Human longevity and healthy aging show moderate heritability (20\%-50\%). We conducted a meta-analysis of genome-wide association studies from 9 studies from the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium for 2 outcomes: (1) all-cause mortality, and (2) survival free of major disease or death. No single nucleotide polymorphism (SNP) was a genome-wide significant predictor of either outcome (p < 5 {\texttimes} 10(-8)). We found 14 independent SNPs that predicted risk of death, and 8 SNPs that predicted event-free survival (p < 10(-5)). These SNPs are in or near genes that are highly expressed in the brain (HECW2, HIP1, BIN2, GRIA1), genes involved in neural development and function (KCNQ4, LMO4, GRIA1, NETO1) and autophagy (ATG4C), and genes that are associated with risk of various diseases including cancer and Alzheimer{\textquoteright}s disease. In addition to considerable overlap between the traits, pathway and network analysis corroborated these findings. These findings indicate that variation in genes involved in neurological processes may be an important factor in regulating aging free of major disease and achieving longevity.

}, keywords = {Aging, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Longevity}, issn = {1558-1497}, doi = {10.1016/j.neurobiolaging.2011.05.026}, author = {Walter, Stefan and Atzmon, Gil and Demerath, Ellen W and Garcia, Melissa E and Kaplan, Robert C and Kumari, Meena and Lunetta, Kathryn L and Milaneschi, Yuri and Tanaka, Toshiko and Tranah, Gregory J and V{\"o}lker, Uwe and Yu, Lei and Arnold, Alice and Benjamin, Emelia J and Biffar, Reiner and Buchman, Aron S and Boerwinkle, Eric and Couper, David and De Jager, Philip L and Evans, Denis A and Harris, Tamara B and Hoffmann, Wolfgang and Hofman, Albert and Karasik, David and Kiel, Douglas P and Kocher, Thomas and Kuningas, Maris and Launer, Lenore J and Lohman, Kurt K and Lutsey, Pamela L and Mackenbach, Johan and Marciante, Kristin and Psaty, Bruce M and Reiman, Eric M and Rotter, Jerome I and Seshadri, Sudha and Shardell, Michelle D and Smith, Albert V and van Duijn, Cornelia and Walston, Jeremy and Zillikens, M Carola and Bandinelli, Stefania and Baumeister, Sebastian E and Bennett, David A and Ferrucci, Luigi and Gudnason, Vilmundur and Kivimaki, Mika and Liu, Yongmei and Murabito, Joanne M and Newman, Anne B and Tiemeier, Henning and Franceschini, Nora} } @article {5864, title = {Genetic determinants of the ankle-brachial index: a meta-analysis of a cardiovascular candidate gene 50K SNP panel in the candidate gene association resource (CARe) consortium.}, journal = {Atherosclerosis}, volume = {222}, year = {2012}, month = {2012 May}, pages = {138-47}, abstract = {

BACKGROUND: Candidate gene association studies for peripheral artery disease (PAD), including subclinical disease assessed with the ankle-brachial index (ABI), have been limited by the modest number of genes examined. We conducted a two stage meta-analysis of \~{}50,000 SNPs across \~{}2100 candidate genes to identify genetic variants for ABI.

METHODS AND RESULTS: We studied subjects of European ancestry from 8 studies (n=21,547, 55\% women, mean age 44-73 years) and African American ancestry from 5 studies (n=7267, 60\% women, mean age 41-73 years) involved in the candidate gene association resource (CARe) consortium. In each ethnic group, additive genetic models were used (with each additional copy of the minor allele corresponding to the given beta) to test each SNP for association with continuous ABI (excluding ABI>1.40) and PAD (defined as ABI<0.90) using linear or logistic regression with adjustment for known PAD risk factors and population stratification. We then conducted a fixed-effects inverse-variance weighted meta-analyses considering a p<2{\texttimes}10(-6) to denote statistical significance.

RESULTS: In the European ancestry discovery meta-analyses, rs2171209 in SYTL3 (β=-0.007, p=6.02{\texttimes}10(-7)) and rs290481 in TCF7L2 (β=-0.008, p=7.01{\texttimes}10(-7)) were significantly associated with ABI. None of the SNP associations for PAD were significant, though a SNP in CYP2B6 (p=4.99{\texttimes}10(-5)) was among the strongest associations. These 3 genes are linked to key PAD risk factors (lipoprotein(a), type 2 diabetes, and smoking behavior, respectively). We sought replication in 6 population-based and 3 clinical samples (n=15,440) for rs290481 and rs2171209. However, in the replication stage (rs2171209, p=0.75; rs290481, p=0.19) and in the combined discovery and replication analysis the SNP-ABI associations were no longer significant (rs2171209, p=1.14{\texttimes}10(-3); rs290481, p=8.88{\texttimes}10(-5)). In African Americans, none of the SNP associations for ABI or PAD achieved an experiment-wide level of significance.

CONCLUSIONS: Genetic determinants of ABI and PAD remain elusive. Follow-up of these preliminary findings may uncover important biology given the known gene-risk factor associations. New and more powerful approaches to PAD gene discovery are warranted.

}, keywords = {Adult, African Americans, Aged, Ankle Brachial Index, Aryl Hydrocarbon Hydroxylases, Cytochrome P-450 CYP2B6, European Continental Ancestry Group, Female, Humans, Male, Middle Aged, Oxidoreductases, N-Demethylating, Peripheral Arterial Disease, Polymorphism, Single Nucleotide, Risk Factors, Transcription Factor 7-Like 2 Protein}, issn = {1879-1484}, doi = {10.1016/j.atherosclerosis.2012.01.039}, author = {Wassel, Christina L and Lamina, Claudia and Nambi, Vijay and Coassin, Stefan and Mukamal, Kenneth J and Ganesh, Santhi K and Jacobs, David R and Franceschini, Nora and Papanicolaou, George J and Gibson, Quince and Yanek, Lisa R and van der Harst, Pim and Ferguson, Jane F and Crawford, Dana C and Waite, Lindsay L and Allison, Matthew A and Criqui, Michael H and McDermott, Mary M and Mehra, Reena and Cupples, L Adrienne and Hwang, Shih-Jen and Redline, Susan and Kaplan, Robert C and Heiss, Gerardo and Rotter, Jerome I and Boerwinkle, Eric and Taylor, Herman A and Eraso, Luis H and Haun, Margot and Li, Mingyao and Meisinger, Christa and O{\textquoteright}Connell, Jeffrey R and Shuldiner, Alan R and Tybj{\ae}rg-Hansen, Anne and Frikke-Schmidt, Ruth and Kollerits, Barbara and Rantner, Barbara and Dieplinger, Benjamin and Stadler, Marietta and Mueller, Thomas and Haltmayer, Meinhard and Klein-Weigel, Peter and Summerer, Monika and Wichmann, H-Erich and Asselbergs, Folkert W and Navis, Gerjan and Mateo Leach, Irene and Brown-Gentry, Kristin and Goodloe, Robert and Assimes, Themistocles L and Becker, Diane M and Cooke, John P and Absher, Devin M and Olin, Jeffrey W and Mitchell, Braxton D and Reilly, Muredach P and Mohler, Emile R and North, Kari E and Reiner, Alexander P and Kronenberg, Florian and Murabito, Joanne M} } @article {5863, title = {Genetic risk factors for ischaemic stroke and its subtypes (the METASTROKE collaboration): a meta-analysis of genome-wide association studies.}, journal = {Lancet Neurol}, volume = {11}, year = {2012}, month = {2012 Nov}, pages = {951-62}, abstract = {

BACKGROUND: Various genome-wide association studies (GWAS) have been done in ischaemic stroke, identifying a few loci associated with the disease, but sample sizes have been 3500 cases or less. We established the METASTROKE collaboration with the aim of validating associations from previous GWAS and identifying novel genetic associations through meta-analysis of GWAS datasets for ischaemic stroke and its subtypes.

METHODS: We meta-analysed data from 15 ischaemic stroke cohorts with a total of 12 389 individuals with ischaemic stroke and 62 004 controls, all of European ancestry. For the associations reaching genome-wide significance in METASTROKE, we did a further analysis, conditioning on the lead single nucleotide polymorphism in every associated region. Replication of novel suggestive signals was done in 13 347 cases and 29 083 controls.

FINDINGS: We verified previous associations for cardioembolic stroke near PITX2 (p=2{\textperiodcentered}8{\texttimes}10(-16)) and ZFHX3 (p=2{\textperiodcentered}28{\texttimes}10(-8)), and for large-vessel stroke at a 9p21 locus (p=3{\textperiodcentered}32{\texttimes}10(-5)) and HDAC9 (p=2{\textperiodcentered}03{\texttimes}10(-12)). Additionally, we verified that all associations were subtype specific. Conditional analysis in the three regions for which the associations reached genome-wide significance (PITX2, ZFHX3, and HDAC9) indicated that all the signal in each region could be attributed to one risk haplotype. We also identified 12 potentially novel loci at p<5{\texttimes}10(-6). However, we were unable to replicate any of these novel associations in the replication cohort.

INTERPRETATION: Our results show that, although genetic variants can be detected in patients with ischaemic stroke when compared with controls, all associations we were able to confirm are specific to a stroke subtype. This finding has two implications. First, to maximise success of genetic studies in ischaemic stroke, detailed stroke subtyping is required. Second, different genetic pathophysiological mechanisms seem to be associated with different stroke subtypes.

FUNDING: Wellcome Trust, UK Medical Research Council (MRC), Australian National and Medical Health Research Council, National Institutes of Health (NIH) including National Heart, Lung and Blood Institute (NHLBI), the National Institute on Aging (NIA), the National Human Genome Research Institute (NHGRI), and the National Institute of Neurological Disorders and Stroke (NINDS).

}, keywords = {Brain Ischemia, Databases, Genetic, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Risk Factors, Stroke}, issn = {1474-4465}, doi = {10.1016/S1474-4422(12)70234-X}, author = {Traylor, Matthew and Farrall, Martin and Holliday, Elizabeth G and Sudlow, Cathie and Hopewell, Jemma C and Cheng, Yu-Ching and Fornage, Myriam and Ikram, M Arfan and Malik, Rainer and Bevan, Steve and Thorsteinsdottir, Unnur and Nalls, Mike A and Longstreth, Wt and Wiggins, Kerri L and Yadav, Sunaina and Parati, Eugenio A and DeStefano, Anita L and Worrall, Bradford B and Kittner, Steven J and Khan, Muhammad Saleem and Reiner, Alex P and Helgadottir, Anna and Achterberg, Sefanja and Fernandez-Cadenas, Israel and Abboud, Sherine and Schmidt, Reinhold and Walters, Matthew and Chen, Wei-Min and Ringelstein, E Bernd and O{\textquoteright}Donnell, Martin and Ho, Weang Kee and Pera, Joanna and Lemmens, Robin and Norrving, Bo and Higgins, Peter and Benn, Marianne and Sale, Michele and Kuhlenb{\"a}umer, Gregor and Doney, Alexander S F and Vicente, Astrid M and Delavaran, Hossein and Algra, Ale and Davies, Gail and Oliveira, Sofia A and Palmer, Colin N A and Deary, Ian and Schmidt, Helena and Pandolfo, Massimo and Montaner, Joan and Carty, Cara and de Bakker, Paul I W and Kostulas, Konstantinos and Ferro, Jose M and van Zuydam, Natalie R and Valdimarsson, Einar and Nordestgaard, B{\o}rge G and Lindgren, Arne and Thijs, Vincent and Slowik, Agnieszka and Saleheen, Danish and Par{\'e}, Guillaume and Berger, Klaus and Thorleifsson, Gudmar and Hofman, Albert and Mosley, Thomas H and Mitchell, Braxton D and Furie, Karen and Clarke, Robert and Levi, Christopher and Seshadri, Sudha and Gschwendtner, Andreas and Boncoraglio, Giorgio B and Sharma, Pankaj and Bis, Joshua C and Gretarsdottir, Solveig and Psaty, Bruce M and Rothwell, Peter M and Rosand, Jonathan and Meschia, James F and Stefansson, Kari and Dichgans, Martin and Markus, Hugh S} } @article {1554, title = {Genetic variants and associations of 25-hydroxyvitamin D concentrations with major clinical outcomes.}, journal = {JAMA}, volume = {308}, year = {2012}, month = {2012 Nov 14}, pages = {1898-905}, abstract = {

CONTEXT: Lower serum 25-hydroxyvitamin D concentrations are associated with greater risks of many chronic diseases across large, prospective community-based studies. Substrate 25-hydroxyvitamin D must be converted to 1,25-dihydroxyvitamin D for full biological activity, and complex metabolic pathways suggest that interindividual variability in vitamin D metabolism may alter the clinical consequences of measured serum 25-hydroxyvitamin D.

OBJECTIVE: To investigate whether common variation within genes encoding the vitamin D-binding protein, megalin, cubilin, CYP27B1, CYP24A1, and the vitamin D receptor (VDR) modify associations of low 25-hydroxyvitamin D with major clinical outcomes.

DESIGN, SETTING, AND PARTICIPANTS: Examination of 141 single-nucleotide polymorphisms in a discovery cohort of 1514 white participants (who were recruited from 4 US regions) from the community-based Cardiovascular Health Study. Participants had serum 25-hydroxyvitamin D measurements in 1992-1993 and were followed up for a median of 11 years (through 2006). Replication meta-analyses were conducted across the independent, community-based US Health, Aging, and Body Composition (n = 922; follow-up: 1998-1999 through 2005), Italian Invecchiare in Chianti (n = 835; follow-up: 1998-2000 through 2006), and Swedish Uppsala Longitudinal Study of Adult Men (n = 970; follow-up: 1991-1995 through 2008) cohort studies.

MAIN OUTCOME MEASURE: Composite outcome of incident hip facture, myocardial infarction, cancer, and mortality over long-term follow-up.

RESULTS: Interactions between 5 single-nucleotide polymorphisms and low 25-hydroxyvitamin D concentration were identified in the discovery phase and 1 involving a variant in the VDR gene replicated in independent meta-analysis. Among Cardiovascular Health Study participants, low 25-hydroxyvitamin D concentration was associated with hazard ratios for risk of the composite outcome of 1.40 (95\% CI, 1.12-1.74) for those who had 1 minor allele at rs7968585 and 1.82 (95\% CI, 1.31-2.54) for those with 2 minor alleles at rs7968585. In contrast, there was no evidence of an association (estimated hazard ratio, 0.93 [95\% CI, 0.70-1.24]) among participants who had 0 minor alleles at this single-nucleotide polymorphism.

CONCLUSION: Known associations of low 25-hydroxyvitamin D with major health outcomes may vary according to common genetic differences in the vitamin D receptor.

}, keywords = {25-Hydroxyvitamin D3 1-alpha-Hydroxylase, Aged, Chronic Disease, Cohort Studies, Female, Genetic Variation, Genotype, Hip Fractures, Humans, Low Density Lipoprotein Receptor-Related Protein-2, Male, Meta-Analysis as Topic, Myocardial Infarction, Neoplasms, Polymorphism, Single Nucleotide, Receptors, Calcitriol, Receptors, Cell Surface, Risk, Steroid Hydroxylases, Vitamin D, Vitamin D3 24-Hydroxylase}, issn = {1538-3598}, doi = {10.1001/jama.2012.17304}, author = {Levin, Gregory P and Robinson-Cohen, Cassianne and de Boer, Ian H and Houston, Denise K and Lohman, Kurt and Liu, Yongmei and Kritchevsky, Stephen B and Cauley, Jane A and Tanaka, Toshiko and Ferrucci, Luigi and Bandinelli, Stefania and Patel, Kushang V and Hagstr{\"o}m, Emil and Micha{\"e}lsson, Karl and Melhus, H{\r a}kan and Wang, Thomas and Wolf, Myles and Psaty, Bruce M and Siscovick, David and Kestenbaum, Bryan} } @article {6093, title = {Genetic variants in Arhgef11 are associated with kidney injury in the Dahl salt-sensitive rat.}, journal = {Hypertension}, volume = {60}, year = {2012}, month = {2012 Nov}, pages = {1157-68}, abstract = {

A previous genetic analysis comparing the Dahl salt-sensitive (S) rat with the spontaneously hypertensive rat identified a major locus on chromosome 2 that influences proteinuria in the S rat. In the present study, blood pressure, proteinuria, and renal hemodynamics were evaluated in congenic strains with small segments of the protective spontaneously hypertensive rat genome on the S background. Proteinuria and renal function were significantly improved in the congenic strains compared with the S. The causative locus interval was narrowed to <375 kb on the basis of congenic strains, haplotype data, comparative mapping, and concordance with human genetic studies. Sequencing of the coding region of genes in this region identified 36 single nucleotide polymorphisms (13 nonsynonymous and 23 synonymous). Gene expression profiling indicated that only a few genes exhibited differential expression. Arhgef11, Pear1, and Sh2d2 were identified as important candidate genes that may be linked to kidney injury in the S rat. In particular, Arhgef11 plays an important role in the activation of the Rho-ROCK signaling pathway. Inhibition of this pathway using fasudil resulted in a significant reduction of proteinuria in treated S rats (compared with untreated S). However, no difference was observed between treated or untreated spontaneously hypertensive rat or congenic strains. The homologous region in humans was found to be associated with estimated glomerular filtration rate in the Candidate Gene Association Resource population. In summary, these findings demonstrate that allelic variants in Arhgef11, acting through the Rho-ROCK pathway, could influence kidney injury in the S as well as provide insight into human kidney disease.

}, keywords = {1-(5-Isoquinolinesulfonyl)-2-Methylpiperazine, Animals, Animals, Congenic, Blood Pressure, Blotting, Western, Chromosome Mapping, Gene Expression Profiling, Genetic Predisposition to Disease, Guanine Nucleotide Exchange Factors, Humans, Kidney, Kidney Diseases, Male, Polymorphism, Single Nucleotide, Protein Kinase Inhibitors, Proteinuria, Quantitative Trait Loci, Rats, Rats, Inbred Dahl, Rats, Inbred SHR, Renal Circulation, Reverse Transcriptase Polymerase Chain Reaction, rho-Associated Kinases, rhoA GTP-Binding Protein, Signal Transduction}, issn = {1524-4563}, doi = {10.1161/HYPERTENSIONAHA.112.199240}, author = {Williams, Jan M and Johnson, Ashley C and Stelloh, Cary and Dreisbach, Albert W and Franceschini, Nora and Regner, Kevin R and Townsend, Raymond R and Roman, Richard J and Garrett, Michael R} } @article {1364, title = {Genetic variation in F3 (tissue factor) and the risk of incident venous thrombosis: meta-analysis of eight studies.}, journal = {J Thromb Haemost}, volume = {10}, year = {2012}, month = {2012 Apr}, pages = {719-22}, keywords = {Female, Gene Frequency, Genetic Predisposition to Disease, Genetic Variation, Humans, Incidence, Male, Middle Aged, Phenotype, Regression Analysis, Risk Assessment, Risk Factors, Thromboplastin, Venous Thrombosis}, issn = {1538-7836}, doi = {10.1111/j.1538-7836.2012.04665.x}, author = {Smith, N L and Heit, J A and Tang, W and Teichert, M and Chasman, D I and Morange, P-E} } @article {1377, title = {Genome-wide association and functional follow-up reveals new loci for kidney function.}, journal = {PLoS Genet}, volume = {8}, year = {2012}, month = {2012}, pages = {e1002584}, abstract = {

Chronic kidney disease (CKD) is an important public health problem with a genetic component. We performed genome-wide association studies in up to 130,600 European ancestry participants overall, and stratified for key CKD risk factors. We uncovered 6 new loci in association with estimated glomerular filtration rate (eGFR), the primary clinical measure of CKD, in or near MPPED2, DDX1, SLC47A1, CDK12, CASP9, and INO80. Morpholino knockdown of mpped2 and casp9 in zebrafish embryos revealed podocyte and tubular abnormalities with altered dextran clearance, suggesting a role for these genes in renal function. By providing new insights into genes that regulate renal function, these results could further our understanding of the pathogenesis of CKD.

}, keywords = {African Americans, Aged, Animals, Caspase 9, Cyclin-Dependent Kinases, DEAD-box RNA Helicases, DNA Helicases, European Continental Ancestry Group, Female, Follow-Up Studies, Gene Knockdown Techniques, Genome-Wide Association Study, Glomerular Filtration Rate, Humans, Kidney, Kidney Failure, Chronic, Male, Middle Aged, Phosphoric Diester Hydrolases, Zebrafish}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1002584}, author = {Pattaro, Cristian and K{\"o}ttgen, Anna and Teumer, Alexander and Garnaas, Maija and B{\"o}ger, Carsten A and Fuchsberger, Christian and Olden, Matthias and Chen, Ming-Huei and Tin, Adrienne and Taliun, Daniel and Li, Man and Gao, Xiaoyi and Gorski, Mathias and Yang, Qiong and Hundertmark, Claudia and Foster, Meredith C and O{\textquoteright}Seaghdha, Conall M and Glazer, Nicole and Isaacs, Aaron and Liu, Ching-Ti and Smith, Albert V and O{\textquoteright}Connell, Jeffrey R and Struchalin, Maksim and Tanaka, Toshiko and Li, Guo and Johnson, Andrew D and Gierman, Hinco J and Feitosa, Mary and Hwang, Shih-Jen and Atkinson, Elizabeth J and Lohman, Kurt and Cornelis, Marilyn C and Johansson, Asa and T{\"o}njes, Anke and Dehghan, Abbas and Chouraki, Vincent and Holliday, Elizabeth G and Sorice, Rossella and Kutalik, Zolt{\'a}n and Lehtim{\"a}ki, Terho and Esko, T{\~o}nu and Deshmukh, Harshal and Ulivi, Sheila and Chu, Audrey Y and Murgia, Federico and Trompet, Stella and Imboden, Medea and Kollerits, Barbara and Pistis, Giorgio and Harris, Tamara B and Launer, Lenore J and Aspelund, Thor and Eiriksdottir, Gudny and Mitchell, Braxton D and Boerwinkle, Eric and Schmidt, Helena and Cavalieri, Margherita and Rao, Madhumathi and Hu, Frank B and Demirkan, Ayse and Oostra, Ben A and de Andrade, Mariza and Turner, Stephen T and Ding, Jingzhong and Andrews, Jeanette S and Freedman, Barry I and Koenig, Wolfgang and Illig, Thomas and D{\"o}ring, Angela and Wichmann, H-Erich and Kolcic, Ivana and Zemunik, Tatijana and Boban, Mladen and Minelli, Cosetta and Wheeler, Heather E and Igl, Wilmar and Zaboli, Ghazal and Wild, Sarah H and Wright, Alan F and Campbell, Harry and Ellinghaus, David and N{\"o}thlings, Ute and Jacobs, Gunnar and Biffar, Reiner and Endlich, Karlhans and Ernst, Florian and Homuth, Georg and Kroemer, Heyo K and Nauck, Matthias and Stracke, Sylvia and V{\"o}lker, Uwe and V{\"o}lzke, Henry and Kovacs, Peter and Stumvoll, Michael and M{\"a}gi, Reedik and Hofman, Albert and Uitterlinden, Andr{\'e} G and Rivadeneira, Fernando and Aulchenko, Yurii S and Polasek, Ozren and Hastie, Nick and Vitart, Veronique and Helmer, Catherine and Wang, Jie Jin and Ruggiero, Daniela and Bergmann, Sven and K{\"a}h{\"o}nen, Mika and Viikari, Jorma and Nikopensius, Tiit and Province, Michael and Ketkar, Shamika and Colhoun, Helen and Doney, Alex and Robino, Antonietta and Giulianini, Franco and Kr{\"a}mer, Bernhard K and Portas, Laura and Ford, Ian and Buckley, Brendan M and Adam, Martin and Thun, Gian-Andri and Paulweber, Bernhard and Haun, Margot and Sala, Cinzia and Metzger, Marie and Mitchell, Paul and Ciullo, Marina and Kim, Stuart K and Vollenweider, Peter and Raitakari, Olli and Metspalu, Andres and Palmer, Colin and Gasparini, Paolo and Pirastu, Mario and Jukema, J Wouter and Probst-Hensch, Nicole M and Kronenberg, Florian and Toniolo, Daniela and Gudnason, Vilmundur and Shuldiner, Alan R and Coresh, Josef and Schmidt, Reinhold and Ferrucci, Luigi and Siscovick, David S and van Duijn, Cornelia M and Borecki, Ingrid and Kardia, Sharon L R and Liu, Yongmei and Curhan, Gary C and Rudan, Igor and Gyllensten, Ulf and Wilson, James F and Franke, Andre and Pramstaller, Peter P and Rettig, Rainer and Prokopenko, Inga and Witteman, Jacqueline C M and Hayward, Caroline and Ridker, Paul and Parsa, Afshin and Bochud, Murielle and Heid, Iris M and Goessling, Wolfram and Chasman, Daniel I and Kao, W H Linda and Fox, Caroline S} } @article {6092, title = {Genome-wide association studies identify CHRNA5/3 and HTR4 in the development of airflow obstruction.}, journal = {Am J Respir Crit Care Med}, volume = {186}, year = {2012}, month = {2012 Oct 01}, pages = {622-32}, abstract = {

RATIONALE: Genome-wide association studies (GWAS) have identified loci influencing lung function, but fewer genes influencing chronic obstructive pulmonary disease (COPD) are known.

OBJECTIVES: Perform meta-analyses of GWAS for airflow obstruction, a key pathophysiologic characteristic of COPD assessed by spirometry, in population-based cohorts examining all participants, ever smokers, never smokers, asthma-free participants, and more severe cases.

METHODS: Fifteen cohorts were studied for discovery (3,368 affected; 29,507 unaffected), and a population-based family study and a meta-analysis of case-control studies were used for replication and regional follow-up (3,837 cases; 4,479 control subjects). Airflow obstruction was defined as FEV(1) and its ratio to FVC (FEV(1)/FVC) both less than their respective lower limits of normal as determined by published reference equations.

MEASUREMENTS AND MAIN RESULTS: The discovery meta-analyses identified one region on chromosome 15q25.1 meeting genome-wide significance in ever smokers that includes AGPHD1, IREB2, and CHRNA5/CHRNA3 genes. The region was also modestly associated among never smokers. Gene expression studies confirmed the presence of CHRNA5/3 in lung, airway smooth muscle, and bronchial epithelial cells. A single-nucleotide polymorphism in HTR4, a gene previously related to FEV(1)/FVC, achieved genome-wide statistical significance in combined meta-analysis. Top single-nucleotide polymorphisms in ADAM19, RARB, PPAP2B, and ADAMTS19 were nominally replicated in the COPD meta-analysis.

CONCLUSIONS: These results suggest an important role for the CHRNA5/3 region as a genetic risk factor for airflow obstruction that may be independent of smoking and implicate the HTR4 gene in the etiology of airflow obstruction.

}, keywords = {Aged, Female, Forced Expiratory Volume, Genome-Wide Association Study, Humans, Male, Middle Aged, Nerve Tissue Proteins, Polymorphism, Single Nucleotide, Pulmonary Disease, Chronic Obstructive, Receptors, Nicotinic, Receptors, Serotonin, 5-HT4, Smoking, Vital Capacity}, issn = {1535-4970}, doi = {10.1164/rccm.201202-0366OC}, author = {Wilk, Jemma B and Shrine, Nick R G and Loehr, Laura R and Zhao, Jing Hua and Manichaikul, Ani and Lopez, Lorna M and Smith, Albert Vernon and Heckbert, Susan R and Smolonska, Joanna and Tang, Wenbo and Loth, Daan W and Curjuric, Ivan and Hui, Jennie and Cho, Michael H and Latourelle, Jeanne C and Henry, Amanda P and Aldrich, Melinda and Bakke, Per and Beaty, Terri H and Bentley, Amy R and Borecki, Ingrid B and Brusselle, Guy G and Burkart, Kristin M and Chen, Ting-Hsu and Couper, David and Crapo, James D and Davies, Gail and Dupuis, Jos{\'e}e and Franceschini, Nora and Gulsvik, Amund and Hancock, Dana B and Harris, Tamara B and Hofman, Albert and Imboden, Medea and James, Alan L and Khaw, Kay-Tee and Lahousse, Lies and Launer, Lenore J and Litonjua, Augusto and Liu, Yongmei and Lohman, Kurt K and Lomas, David A and Lumley, Thomas and Marciante, Kristin D and McArdle, Wendy L and Meibohm, Bernd and Morrison, Alanna C and Musk, Arthur W and Myers, Richard H and North, Kari E and Postma, Dirkje S and Psaty, Bruce M and Rich, Stephen S and Rivadeneira, Fernando and Rochat, Thierry and Rotter, Jerome I and Soler Artigas, Maria and Starr, John M and Uitterlinden, Andr{\'e} G and Wareham, Nicholas J and Wijmenga, Cisca and Zanen, Pieter and Province, Michael A and Silverman, Edwin K and Deary, Ian J and Palmer, Lyle J and Cassano, Patricia A and Gudnason, Vilmundur and Barr, R Graham and Loos, Ruth J F and Strachan, David P and London, Stephanie J and Boezen, H Marike and Probst-Hensch, Nicole and Gharib, Sina A and Hall, Ian P and O{\textquoteright}Connor, George T and Tobin, Martin D and Stricker, Bruno H} } @article {6089, title = {Genome-wide association study for circulating levels of PAI-1 provides novel insights into its regulation.}, journal = {Blood}, volume = {120}, year = {2012}, month = {2012 Dec 06}, pages = {4873-81}, abstract = {

We conducted a genome-wide association study to identify novel associations between genetic variants and circulating plasminogen activator inhibitor-1 (PAI-1) concentration, and examined functional implications of variants and genes that were discovered. A discovery meta-analysis was performed in 19 599 subjects, followed by replication analysis of genome-wide significant (P < 5 {\texttimes} 10(-8)) single nucleotide polymorphisms (SNPs) in 10 796 independent samples. We further examined associations with type 2 diabetes and coronary artery disease, assessed the functional significance of the SNPs for gene expression in human tissues, and conducted RNA-silencing experiments for one novel association. We confirmed the association of the 4G/5G proxy SNP rs2227631 in the promoter region of SERPINE1 (7q22.1) and discovered genome-wide significant associations at 3 additional loci: chromosome 7q22.1 close to SERPINE1 (rs6976053, discovery P = 3.4 {\texttimes} 10(-10)); chromosome 11p15.2 within ARNTL (rs6486122, discovery P = 3.0 {\texttimes} 10(-8)); and chromosome 3p25.2 within PPARG (rs11128603, discovery P = 2.9 {\texttimes} 10(-8)). Replication was achieved for the 7q22.1 and 11p15.2 loci. There was nominal association with type 2 diabetes and coronary artery disease at ARNTL (P < .05). Functional studies identified MUC3 as a candidate gene for the second association signal on 7q22.1. In summary, SNPs in SERPINE1 and ARNTL and an SNP associated with the expression of MUC3 were robustly associated with circulating levels of PAI-1.

}, keywords = {Adaptor Proteins, Signal Transducing, ARNTL Transcription Factors, ATPases Associated with Diverse Cellular Activities, Cell Line, Cell Line, Tumor, Cohort Studies, Coronary Artery Disease, Diabetes Mellitus, Type 2, Gene Expression Profiling, Gene Expression Regulation, Gene Frequency, Genome-Wide Association Study, Genotype, Humans, LIM Domain Proteins, Meta-Analysis as Topic, Monocytes, Mucin-3, Plasminogen Activator Inhibitor 1, Polymorphism, Single Nucleotide, PPAR gamma, Proteasome Endopeptidase Complex, RNA Interference, Transcription Factors}, issn = {1528-0020}, doi = {10.1182/blood-2012-06-436188}, author = {Huang, Jie and Sabater-Lleal, Maria and Asselbergs, Folkert W and Tregouet, David and Shin, So-Youn and Ding, Jingzhong and Baumert, Jens and Oudot-Mellakh, Tiphaine and Folkersen, Lasse and Johnson, Andrew D and Smith, Nicholas L and Williams, Scott M and Ikram, Mohammad A and Kleber, Marcus E and Becker, Diane M and Truong, Vinh and Mychaleckyj, Josyf C and Tang, Weihong and Yang, Qiong and Sennblad, Bengt and Moore, Jason H and Williams, Frances M K and Dehghan, Abbas and Silbernagel, G{\"u}nther and Schrijvers, Elisabeth M C and Smith, Shelly and Karakas, Mahir and Tofler, Geoffrey H and Silveira, Angela and Navis, Gerjan J and Lohman, Kurt and Chen, Ming-Huei and Peters, Annette and Goel, Anuj and Hopewell, Jemma C and Chambers, John C and Saleheen, Danish and Lundmark, Per and Psaty, Bruce M and Strawbridge, Rona J and Boehm, Bernhard O and Carter, Angela M and Meisinger, Christa and Peden, John F and Bis, Joshua C and McKnight, Barbara and Ohrvik, John and Taylor, Kent and Franzosi, Maria Grazia and Seedorf, Udo and Collins, Rory and Franco-Cereceda, Anders and Syv{\"a}nen, Ann-Christine and Goodall, Alison H and Yanek, Lisa R and Cushman, Mary and M{\"u}ller-Nurasyid, Martina and Folsom, Aaron R and Basu, Saonli and Matijevic, Nena and van Gilst, Wiek H and Kooner, Jaspal S and Hofman, Albert and Danesh, John and Clarke, Robert and Meigs, James B and Kathiresan, Sekar and Reilly, Muredach P and Klopp, Norman and Harris, Tamara B and Winkelmann, Bernhard R and Grant, Peter J and Hillege, Hans L and Watkins, Hugh and Spector, Timothy D and Becker, Lewis C and Tracy, Russell P and M{\"a}rz, Winfried and Uitterlinden, Andr{\'e} G and Eriksson, Per and Cambien, Francois and Morange, Pierre-Emmanuel and Koenig, Wolfgang and Soranzo, Nicole and van der Harst, Pim and Liu, Yongmei and O{\textquoteright}Donnell, Christopher J and Hamsten, Anders} } @article {1555, title = {A genome-wide association study identifies a potential novel gene locus for keratoconus, one of the commonest causes for corneal transplantation in developed countries.}, journal = {Hum Mol Genet}, volume = {21}, year = {2012}, month = {2012 Jan 15}, pages = {421-9}, abstract = {

Keratoconus is a condition in which the cornea progressively thins over time, and is a major cause for cornea transplantation. To identify keratoconus susceptibility regions, we performed a comprehensive genome-wide association study (GWAS) using a discovery and replication design. A discovery panel of 222 keratoconus Caucasian patients and 3324 Caucasian controls was genotyped using Illumina 370K beadchips. Further associated and fine-mapping single nucleotide polymorphisms (SNPs) (n= 4905) were genotyped in an independent replication case-control panel of 304 cases and 518 controls and a family panel of 307 subjects in 70 families. Logistic regression models implemented in PLINK were performed to test associations in case-control samples with and without principal component (PC) adjustments. Generalized estimation equation models accounting for familial correlations implemented in GWAF were used for association testing in families. No genome-wide associations were identified in the discovery GWAS panel. From the initial testing without adjustments for PCs, the top three SNPs located at 3p26 (rs6442925), 2q21.3 (rs4954218) and 19q13.3 (rs1428642) were identified with unadjusted P-values of 6.5 {\texttimes} 10(-8), 2.4 {\texttimes} 10(-7) and 3.1 {\texttimes} 10(-7), respectively. After adjustments for PCs, rs1428642 became the most significant through the genome with a P-value of 1.4 {\texttimes} 10(-6), while rs6442925 and rs4954218 were less significant (P= 1.9 {\texttimes} 10(-5) and 2.6 {\texttimes} 10(-4)). SNP rs4954218 was confirmed in two independent replication panels with P-values of 0.004 and 0.009, respectively. Meta-analysis revealed a highest association at rs4954218 with adjusted P= 1.6 {\texttimes} 10(-7) (unadjusted P= 1.2 {\texttimes} 10(-9)). These findings suggest SNP rs4954218, located near the RAB3GAP1 gene, previously reported to be associated with corneal malformation, is a potential susceptibility locus for keratoconus.

}, keywords = {Case-Control Studies, Chromosomes, Human, Pair 2, Cohort Studies, Corneal Transplantation, Developed Countries, Genome-Wide Association Study, Humans, Keratoconus, Polymorphism, Single Nucleotide}, issn = {1460-2083}, doi = {10.1093/hmg/ddr460}, author = {Li, Xiaohui and Bykhovskaya, Yelena and Haritunians, Talin and Siscovick, David and Aldave, Anthony and Szczotka-Flynn, Loretta and Iyengar, Sudha K and Rotter, Jerome I and Taylor, Kent D and Rabinowitz, Yaron S} } @article {6088, title = {Genome-wide joint meta-analysis of SNP and SNP-by-smoking interaction identifies novel loci for pulmonary function.}, journal = {PLoS Genet}, volume = {8}, year = {2012}, month = {2012}, pages = {e1003098}, abstract = {

Genome-wide association studies have identified numerous genetic loci for spirometic measures of pulmonary function, forced expiratory volume in one second (FEV(1)), and its ratio to forced vital capacity (FEV(1)/FVC). Given that cigarette smoking adversely affects pulmonary function, we conducted genome-wide joint meta-analyses (JMA) of single nucleotide polymorphism (SNP) and SNP-by-smoking (ever-smoking or pack-years) associations on FEV(1) and FEV(1)/FVC across 19 studies (total N = 50,047). We identified three novel loci not previously associated with pulmonary function. SNPs in or near DNER (smallest P(JMA = )5.00{\texttimes}10(-11)), HLA-DQB1 and HLA-DQA2 (smallest P(JMA = )4.35{\texttimes}10(-9)), and KCNJ2 and SOX9 (smallest P(JMA = )1.28{\texttimes}10(-8)) were associated with FEV(1)/FVC or FEV(1) in meta-analysis models including SNP main effects, smoking main effects, and SNP-by-smoking (ever-smoking or pack-years) interaction. The HLA region has been widely implicated for autoimmune and lung phenotypes, unlike the other novel loci, which have not been widely implicated. We evaluated DNER, KCNJ2, and SOX9 and found them to be expressed in human lung tissue. DNER and SOX9 further showed evidence of differential expression in human airway epithelium in smokers compared to non-smokers. Our findings demonstrated that joint testing of SNP and SNP-by-environment interaction identified novel loci associated with complex traits that are missed when considering only the genetic main effects.

}, keywords = {Forced Expiratory Volume, Gene Expression, Genome, Human, Genome-Wide Association Study, HLA-DQ Antigens, HLA-DQ beta-Chains, Humans, Lung, Nerve Tissue Proteins, Polymorphism, Single Nucleotide, Potassium Channels, Inwardly Rectifying, Pulmonary Disease, Chronic Obstructive, Receptors, Cell Surface, Smoking, SOX9 Transcription Factor, Vital Capacity}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1003098}, author = {Hancock, Dana B and Soler Artigas, Maria and Gharib, Sina A and Henry, Amanda and Manichaikul, Ani and Ramasamy, Adaikalavan and Loth, Daan W and Imboden, Medea and Koch, Beate and McArdle, Wendy L and Smith, Albert V and Smolonska, Joanna and Sood, Akshay and Tang, Wenbo and Wilk, Jemma B and Zhai, Guangju and Zhao, Jing Hua and Aschard, Hugues and Burkart, Kristin M and Curjuric, Ivan and Eijgelsheim, Mark and Elliott, Paul and Gu, Xiangjun and Harris, Tamara B and Janson, Christer and Homuth, Georg and Hysi, Pirro G and Liu, Jason Z and Loehr, Laura R and Lohman, Kurt and Loos, Ruth J F and Manning, Alisa K and Marciante, Kristin D and Obeidat, Ma{\textquoteright}en and Postma, Dirkje S and Aldrich, Melinda C and Brusselle, Guy G and Chen, Ting-Hsu and Eiriksdottir, Gudny and Franceschini, Nora and Heinrich, Joachim and Rotter, Jerome I and Wijmenga, Cisca and Williams, O Dale and Bentley, Amy R and Hofman, Albert and Laurie, Cathy C and Lumley, Thomas and Morrison, Alanna C and Joubert, Bonnie R and Rivadeneira, Fernando and Couper, David J and Kritchevsky, Stephen B and Liu, Yongmei and Wjst, Matthias and Wain, Louise V and Vonk, Judith M and Uitterlinden, Andr{\'e} G and Rochat, Thierry and Rich, Stephen S and Psaty, Bruce M and O{\textquoteright}Connor, George T and North, Kari E and Mirel, Daniel B and Meibohm, Bernd and Launer, Lenore J and Khaw, Kay-Tee and Hartikainen, Anna-Liisa and Hammond, Christopher J and Gl{\"a}ser, Sven and Marchini, Jonathan and Kraft, Peter and Wareham, Nicholas J and V{\"o}lzke, Henry and Stricker, Bruno H C and Spector, Timothy D and Probst-Hensch, Nicole M and Jarvis, Deborah and Jarvelin, Marjo-Riitta and Heckbert, Susan R and Gudnason, Vilmundur and Boezen, H Marike and Barr, R Graham and Cassano, Patricia A and Strachan, David P and Fornage, Myriam and Hall, Ian P and Dupuis, Jos{\'e}e and Tobin, Martin D and London, Stephanie J} } @article {6804, title = {Genome-wide meta-analyses of smoking behaviors in African Americans.}, journal = {Transl Psychiatry}, volume = {2}, year = {2012}, month = {2012}, pages = {e119}, abstract = {

The identification and exploration of genetic loci that influence smoking behaviors have been conducted primarily in populations of the European ancestry. Here we report results of the first genome-wide association study meta-analysis of smoking behavior in African Americans in the Study of Tobacco in Minority Populations Genetics Consortium (n = 32,389). We identified one non-coding single-nucleotide polymorphism (SNP; rs2036527[A]) on chromosome 15q25.1 associated with smoking quantity (cigarettes per day), which exceeded genome-wide significance (β = 0.040, s.e. = 0.007, P = 1.84 {\texttimes} 10(-8)). This variant is present in the 5{\textquoteright}-distal enhancer region of the CHRNA5 gene and defines the primary index signal reported in studies of the European ancestry. No other SNP reached genome-wide significance for smoking initiation (SI, ever vs never smoking), age of SI, or smoking cessation (SC, former vs current smoking). Informative associations that approached genome-wide significance included three modestly correlated variants, at 15q25.1 within PSMA4, CHRNA5 and CHRNA3 for smoking quantity, which are associated with a second signal previously reported in studies in European ancestry populations, and a signal represented by three SNPs in the SPOCK2 gene on chr10q22.1. The association at 15q25.1 confirms this region as an important susceptibility locus for smoking quantity in men and women of African ancestry. Larger studies will be needed to validate the suggestive loci that did not reach genome-wide significance and further elucidate the contribution of genetic variation to disparities in cigarette consumption, SC and smoking-attributable disease between African Americans and European Americans.

}, keywords = {Adult, African Americans, Aged, Chromosomes, Human, Pair 10, Chromosomes, Human, Pair 15, Female, Genetic Loci, Genetic Predisposition to Disease, Genetic Variation, Genome-Wide Association Study, Genotype, Humans, Male, Middle Aged, Nerve Tissue Proteins, Phenotype, Polymorphism, Single Nucleotide, Proteoglycans, Receptors, Nicotinic, Smoking, Statistics as Topic}, issn = {2158-3188}, doi = {10.1038/tp.2012.41}, author = {David, S P and Hamidovic, A and Chen, G K and Bergen, A W and Wessel, J and Kasberger, J L and Brown, W M and Petruzella, S and Thacker, E L and Kim, Y and Nalls, M A and Tranah, G J and Sung, Y J and Ambrosone, C B and Arnett, D and Bandera, E V and Becker, D M and Becker, L and Berndt, S I and Bernstein, L and Blot, W J and Broeckel, U and Buxbaum, S G and Caporaso, N and Casey, G and Chanock, S J and Deming, S L and Diver, W R and Eaton, C B and Evans, D S and Evans, M K and Fornage, M and Franceschini, N and Harris, T B and Henderson, B E and Hernandez, D G and Hitsman, B and Hu, J J and Hunt, S C and Ingles, S A and John, E M and Kittles, R and Kolb, S and Kolonel, L N and Le Marchand, L and Liu, Y and Lohman, K K and McKnight, B and Millikan, R C and Murphy, A and Neslund-Dudas, C and Nyante, S and Press, M and Psaty, B M and Rao, D C and Redline, S and Rodriguez-Gil, J L and Rybicki, B A and Signorello, L B and Singleton, A B and Smoller, J and Snively, B and Spring, B and Stanford, J L and Strom, S S and Swan, G E and Taylor, K D and Thun, M J and Wilson, A F and Witte, J S and Yamamura, Y and Yanek, L R and Yu, K and Zheng, W and Ziegler, R G and Zonderman, A B and Jorgenson, E and Haiman, C A and Furberg, H} } @article {8016, title = {Genome-wide meta-analysis identifies 56 bone mineral density loci and reveals 14 loci associated with risk of fracture.}, journal = {Nat Genet}, volume = {44}, year = {2012}, month = {2012 Apr 15}, pages = {491-501}, abstract = {

Bone mineral density (BMD) is the most widely used predictor of fracture risk. We performed the largest meta-analysis to date on lumbar spine and femoral neck BMD, including 17 genome-wide association studies and 32,961 individuals of European and east Asian ancestry. We tested the top BMD-associated markers for replication in 50,933 independent subjects and for association with risk of low-trauma fracture in 31,016 individuals with a history of fracture (cases) and 102,444 controls. We identified 56 loci (32 new) associated with BMD at genome-wide significance (P < 5 {\texttimes} 10(-8)). Several of these factors cluster within the RANK-RANKL-OPG, mesenchymal stem cell differentiation, endochondral ossification and Wnt signaling pathways. However, we also discovered loci that were localized to genes not known to have a role in bone biology. Fourteen BMD-associated loci were also associated with fracture risk (P < 5 {\texttimes} 10(-4), Bonferroni corrected), of which six reached P < 5 {\texttimes} 10(-8), including at 18p11.21 (FAM210A), 7q21.3 (SLC25A13), 11q13.2 (LRP5), 4q22.1 (MEPE), 2p16.2 (SPTBN1) and 10q21.1 (DKK1). These findings shed light on the genetic architecture and pathophysiological mechanisms underlying BMD variation and fracture susceptibility.

}, keywords = {Bone Density, Computational Biology, European Continental Ancestry Group, Extracellular Matrix Proteins, Female, Femur Neck, Fractures, Bone, Gene Expression Profiling, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Glycoproteins, Humans, Intercellular Signaling Peptides and Proteins, Low Density Lipoprotein Receptor-Related Protein-5, Lumbar Vertebrae, Male, Mitochondrial Membrane Transport Proteins, Osteoporosis, Phosphoproteins, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Risk Factors, Spectrin}, issn = {1546-1718}, doi = {10.1038/ng.2249}, author = {Estrada, Karol and Styrkarsdottir, Unnur and Evangelou, Evangelos and Hsu, Yi-Hsiang and Duncan, Emma L and Ntzani, Evangelia E and Oei, Ling and Albagha, Omar M E and Amin, Najaf and Kemp, John P and Koller, Daniel L and Li, Guo and Liu, Ching-Ti and Minster, Ryan L and Moayyeri, Alireza and Vandenput, Liesbeth and Willner, Dana and Xiao, Su-Mei and Yerges-Armstrong, Laura M and Zheng, Hou-Feng and Alonso, Nerea and Eriksson, Joel and Kammerer, Candace M and Kaptoge, Stephen K and Leo, Paul J and Thorleifsson, Gudmar and Wilson, Scott G and Wilson, James F and Aalto, Ville and Alen, Markku and Aragaki, Aaron K and Aspelund, Thor and Center, Jacqueline R and Dailiana, Zoe and Duggan, David J and Garcia, Melissa and Garc{\'\i}a-Giralt, Natalia and Giroux, Sylvie and Hallmans, G{\"o}ran and Hocking, Lynne J and Husted, Lise Bjerre and Jameson, Karen A and Khusainova, Rita and Kim, Ghi Su and Kooperberg, Charles and Koromila, Theodora and Kruk, Marcin and Laaksonen, Marika and LaCroix, Andrea Z and Lee, Seung Hun and Leung, Ping C and Lewis, Joshua R and Masi, Laura and Mencej-Bedrac, Simona and Nguyen, Tuan V and Nogues, Xavier and Patel, Millan S and Prezelj, Janez and Rose, Lynda M and Scollen, Serena and Siggeirsdottir, Kristin and Smith, Albert V and Svensson, Olle and Trompet, Stella and Trummer, Olivia and van Schoor, Natasja M and Woo, Jean and Zhu, Kun and Balcells, Susana and Brandi, Maria Luisa and Buckley, Brendan M and Cheng, Sulin and Christiansen, Claus and Cooper, Cyrus and Dedoussis, George and Ford, Ian and Frost, Morten and Goltzman, David and Gonz{\'a}lez-Mac{\'\i}as, Jes{\'u}s and K{\"a}h{\"o}nen, Mika and Karlsson, Magnus and Khusnutdinova, Elza and Koh, Jung-Min and Kollia, Panagoula and Langdahl, Bente Lomholt and Leslie, William D and Lips, Paul and Ljunggren, Osten and Lorenc, Roman S and Marc, Janja and Mellstr{\"o}m, Dan and Obermayer-Pietsch, Barbara and Olmos, Jos{\'e} M and Pettersson-Kymmer, Ulrika and Reid, David M and Riancho, Jos{\'e} A and Ridker, Paul M and Rousseau, Fran{\c c}ois and Slagboom, P Eline and Tang, Nelson L S and Urreizti, Roser and Van Hul, Wim and Viikari, Jorma and Zarrabeitia, Mar{\'\i}a T and Aulchenko, Yurii S and Castano-Betancourt, Martha and Grundberg, Elin and Herrera, Lizbeth and Ingvarsson, Thorvaldur and Johannsdottir, Hrefna and Kwan, Tony and Li, Rui and Luben, Robert and Medina-G{\'o}mez, Carolina and Palsson, Stefan Th and Reppe, Sjur and Rotter, Jerome I and Sigurdsson, Gunnar and van Meurs, Joyce B J and Verlaan, Dominique and Williams, Frances M K and Wood, Andrew R and Zhou, Yanhua and Gautvik, Kaare M and Pastinen, Tomi and Raychaudhuri, Soumya and Cauley, Jane A and Chasman, Daniel I and Clark, Graeme R and Cummings, Steven R and Danoy, Patrick and Dennison, Elaine M and Eastell, Richard and Eisman, John A and Gudnason, Vilmundur and Hofman, Albert and Jackson, Rebecca D and Jones, Graeme and Jukema, J Wouter and Khaw, Kay-Tee and Lehtim{\"a}ki, Terho and Liu, Yongmei and Lorentzon, Mattias and McCloskey, Eugene and Mitchell, Braxton D and Nandakumar, Kannabiran and Nicholson, Geoffrey C and Oostra, Ben A and Peacock, Munro and Pols, Huibert A P and Prince, Richard L and Raitakari, Olli and Reid, Ian R and Robbins, John and Sambrook, Philip N and Sham, Pak Chung and Shuldiner, Alan R and Tylavsky, Frances A and van Duijn, Cornelia M and Wareham, Nick J and Cupples, L Adrienne and Econs, Michael J and Evans, David M and Harris, Tamara B and Kung, Annie Wai Chee and Psaty, Bruce M and Reeve, Jonathan and Spector, Timothy D and Streeten, Elizabeth A and Zillikens, M Carola and Thorsteinsdottir, Unnur and Ohlsson, Claes and Karasik, David and Richards, J Brent and Brown, Matthew A and Stefansson, Kari and Uitterlinden, Andr{\'e} G and Ralston, Stuart H and Ioannidis, John P A and Kiel, Douglas P and Rivadeneira, Fernando} } @article {6090, title = {Genome-wide meta-analysis points to CTC1 and ZNF676 as genes regulating telomere homeostasis in humans.}, journal = {Hum Mol Genet}, volume = {21}, year = {2012}, month = {2012 Dec 15}, pages = {5385-94}, abstract = {

Leukocyte telomere length (LTL) is associated with a number of common age-related diseases and is a heritable trait. Previous genome-wide association studies (GWASs) identified two loci on chromosomes 3q26.2 (TERC) and 10q24.33 (OBFC1) that are associated with the inter-individual LTL variation. We performed a meta-analysis of 9190 individuals from six independent GWAS and validated our findings in 2226 individuals from four additional studies. We confirmed previously reported associations with OBFC1 (rs9419958 P = 9.1 {\texttimes} 10(-11)) and with the telomerase RNA component TERC (rs1317082, P = 1.1 {\texttimes} 10(-8)). We also identified two novel genomic regions associated with LTL variation that map near a conserved telomere maintenance complex component 1 (CTC1; rs3027234, P = 3.6 {\texttimes} 10(-8)) on chromosome17p13.1 and zinc finger protein 676 (ZNF676; rs412658, P = 3.3 {\texttimes} 10(-8)) on 19p12. The minor allele of rs3027234 was associated with both shorter LTL and lower expression of CTC1. Our findings are consistent with the recent observations that point mutations in CTC1 cause short telomeres in both Arabidopsis and humans affected by a rare Mendelian syndrome. Overall, our results provide novel insights into the genetic architecture of inter-individual LTL variation in the general population.

}, keywords = {Genome-Wide Association Study, Humans, Kruppel-Like Transcription Factors, Telomere, Telomere Homeostasis, Telomere-Binding Proteins}, issn = {1460-2083}, doi = {10.1093/hmg/dds382}, author = {Mangino, Massimo and Hwang, Shih-Jen and Spector, Timothy D and Hunt, Steven C and Kimura, Masayuki and Fitzpatrick, Annette L and Christiansen, Lene and Petersen, Inge and Elbers, Clara C and Harris, Tamara and Chen, Wei and Srinivasan, Sathanur R and Kark, Jeremy D and Benetos, Athanase and El Shamieh, Said and Visvikis-Siest, Sophie and Christensen, Kaare and Berenson, Gerald S and Valdes, Ana M and Vi{\~n}uela, Ana and Garcia, Melissa and Arnett, Donna K and Broeckel, Ulrich and Province, Michael A and Pankow, James S and Kammerer, Candace and Liu, Yongmei and Nalls, Michael and Tishkoff, Sarah and Thomas, Fridtjof and Ziv, Elad and Psaty, Bruce M and Bis, Joshua C and Rotter, Jerome I and Taylor, Kent D and Smith, Erin and Schork, Nicholas J and Levy, Daniel and Aviv, Abraham} } @article {1550, title = {Gene-centric meta-analyses of 108 912 individuals confirm known body mass index loci and reveal three novel signals.}, journal = {Hum Mol Genet}, volume = {22}, year = {2013}, month = {2013 Jan 01}, pages = {184-201}, abstract = {

Recent genetic association studies have made progress in uncovering components of the genetic architecture of the body mass index (BMI). We used the ITMAT-Broad-Candidate Gene Association Resource (CARe) (IBC) array comprising up to 49 320 single nucleotide polymorphisms (SNPs) across ~2100 metabolic and cardiovascular-related loci to genotype up to 108 912 individuals of European ancestry (EA), African-Americans, Hispanics and East Asians, from 46 studies, to provide additional insight into SNPs underpinning BMI. We used a five-phase study design: Phase I focused on meta-analysis of EA studies providing individual level genotype data; Phase II performed a replication of cohorts providing summary level EA data; Phase III meta-analyzed results from the first two phases; associated SNPs from Phase III were used for replication in Phase IV; finally in Phase V, a multi-ethnic meta-analysis of all samples from four ethnicities was performed. At an array-wide significance (P < 2.40E-06), we identify novel BMI associations in loci translocase of outer mitochondrial membrane 40 homolog (yeast) - apolipoprotein E - apolipoprotein C-I (TOMM40-APOE-APOC1) (rs2075650, P = 2.95E-10), sterol regulatory element binding transcription factor 2 (SREBF2, rs5996074, P = 9.43E-07) and neurotrophic tyrosine kinase, receptor, type 2 [NTRK2, a brain-derived neurotrophic factor (BDNF) receptor gene, rs1211166, P = 1.04E-06] in the Phase IV meta-analysis. Of 10 loci with previous evidence for BMI association represented on the IBC array, eight were replicated, with the remaining two showing nominal significance. Conditional analyses revealed two independent BMI-associated signals in BDNF and melanocortin 4 receptor (MC4R) regions. Of the 11 array-wide significant SNPs, three are associated with gene expression levels in both primary B-cells and monocytes; with rs4788099 in SH2B adaptor protein 1 (SH2B1) notably being associated with the expression of multiple genes in cis. These multi-ethnic meta-analyses expand our knowledge of BMI genetics.

}, keywords = {Body Mass Index, Cohort Studies, Ethnic Groups, Humans, Polymorphism, Single Nucleotide}, issn = {1460-2083}, doi = {10.1093/hmg/dds396}, author = {Guo, Yiran and Lanktree, Matthew B and Taylor, Kira C and Hakonarson, Hakon and Lange, Leslie A and Keating, Brendan J} } @article {6289, title = {Generalization and dilution of association results from European GWAS in populations of non-European ancestry: the PAGE study.}, journal = {PLoS Biol}, volume = {11}, year = {2013}, month = {2013 Sep}, pages = {e1001661}, abstract = {

The vast majority of genome-wide association study (GWAS) findings reported to date are from populations with European Ancestry (EA), and it is not yet clear how broadly the genetic associations described will generalize to populations of diverse ancestry. The Population Architecture Using Genomics and Epidemiology (PAGE) study is a consortium of multi-ancestry, population-based studies formed with the objective of refining our understanding of the genetic architecture of common traits emerging from GWAS. In the present analysis of five common diseases and traits, including body mass index, type 2 diabetes, and lipid levels, we compare direction and magnitude of effects for GWAS-identified variants in multiple non-EA populations against EA findings. We demonstrate that, in all populations analyzed, a significant majority of GWAS-identified variants have allelic associations in the same direction as in EA, with none showing a statistically significant effect in the opposite direction, after adjustment for multiple testing. However, 25\% of tagSNPs identified in EA GWAS have significantly different effect sizes in at least one non-EA population, and these differential effects were most frequent in African Americans where all differential effects were diluted toward the null. We demonstrate that differential LD between tagSNPs and functional variants within populations contributes significantly to dilute effect sizes in this population. Although most variants identified from GWAS in EA populations generalize to all non-EA populations assessed, genetic models derived from GWAS findings in EA may generate spurious results in non-EA populations due to differential effect sizes. Regardless of the origin of the differential effects, caution should be exercised in applying any genetic risk prediction model based on tagSNPs outside of the ancestry group in which it was derived. Models based directly on functional variation may generalize more robustly, but the identification of functional variants remains challenging.

}, keywords = {African Americans, Asian Americans, Body Mass Index, Diabetes Mellitus, Type 2, European Continental Ancestry Group, Gene Frequency, Genetic Predisposition to Disease, Genetic Variation, Genome-Wide Association Study, Hispanic Americans, Humans, Indians, North American, Lipids, Metagenomics, Oceanic Ancestry Group, Polymorphism, Single Nucleotide}, issn = {1545-7885}, doi = {10.1371/journal.pbio.1001661}, author = {Carlson, Christopher S and Matise, Tara C and North, Kari E and Haiman, Christopher A and Fesinmeyer, Megan D and Buyske, Steven and Schumacher, Fredrick R and Peters, Ulrike and Franceschini, Nora and Ritchie, Marylyn D and Duggan, David J and Spencer, Kylee L and Dumitrescu, Logan and Eaton, Charles B and Thomas, Fridtjof and Young, Alicia and Carty, Cara and Heiss, Gerardo and Le Marchand, Lo{\"\i}c and Crawford, Dana C and Hindorff, Lucia A and Kooperberg, Charles L} } @article {1620, title = {Genetic analysis of a population heavy drinking phenotype identifies risk variants in whites.}, journal = {J Clin Psychopharmacol}, volume = {33}, year = {2013}, month = {2013 Apr}, pages = {206-10}, chapter = {206}, abstract = {

Genetic association studies thus far have used detailed diagnoses of alcoholism to identify loci associated with risk. This proof-of-concept analysis examined whether population data of lifetime heaviest alcohol consumption may be used to identify genetic loci that modulate risk. We conducted a genetic association study in European Americans between variants in approximately 2100 genes and alcohol consumption as part of the Candidate gene Association Resource project. We defined cases as individuals with a history of drinking 5 or more drinks per day almost every day of the week and controls as current light drinkers (1-5 drinks per week). We cross-validated identified single nucleotide polymorphisms in a meta-analysis of 2 cohorts of unrelated individuals--Atherosclerosis Risk in Communities (ARIC) and Cardiovascular Health Study (CHS)--and in a separate cohort of related individuals--Framingham Heart Study (FHS). The most significant variant in the meta-analysis of ARIC and CHS was rs6933598 in methylenetetrahydrofolate dehydrogenase (P = 7.46 {\texttimes} 10(-05)) with a P value in FHS of 0.042. The top variants in FHS were rs12249562 in cubulin (P = 3.03 {\texttimes} 10(-05)) and rs9839267 near cholecystokinin (P = 3.05 {\texttimes} 10(-05)) with a P value of 0.019 for rs9839267 in CHS. We have here shown feasibility in evaluating lifetime incidence of heavy alcohol drinking from population-based studies for the purpose of conducting genetic association analyses.

}, keywords = {Aged, Alcohol Drinking, Alcoholism, Case-Control Studies, European Continental Ancestry Group, Feasibility Studies, Genetic Association Studies, Genetic Loci, Genetic Predisposition to Disease, Genetic Variation, Humans, Incidence, Male, Middle Aged, Phenotype, Polymorphism, Single Nucleotide, Risk}, issn = {1533-712X}, doi = {10.1097/JCP.0b013e318287009a}, author = {Hamidovic, Ajna and Goodloe, Robert J and Young, Taylor R and Styn, Mindi A and Mukamal, Kenneth J and Choquet, Helene and Kasberger, Jay L and Buxbaum, Sarah G and Papanicolaou, George J and White, Wendy and Volcik, Kelly and Spring, Bonnie and Hitsman, Brian and Levy, Daniel and Jorgenson, Eric} } @article {6076, title = {Genetic association of COL5A1 variants in keratoconus patients suggests a complex connection between corneal thinning and keratoconus.}, journal = {Invest Ophthalmol Vis Sci}, volume = {54}, year = {2013}, month = {2013 Apr 12}, pages = {2696-704}, abstract = {

PURPOSE: Single nucleotide polymorphisms (SNPs) located near or within the COL5A1 gene, at 9q34.2-q34.3 chromosomal region have been reported in association with central corneal thickness (CCT). Using family linkage analysis, we identified a keratoconus susceptibility locus at 9q34. These findings led us to perform an association study between COL5A1 variation and keratoconus susceptibility.

METHODS: A Caucasian case-control cohort of 222 keratoconus patients and 3324 controls was selected as the discovery panel. An independent case-control panel of 304 cases and 518 controls and a family panel of 186 subjects were replicated for genotyping and association. Forty-four SNPs (21 for discovery and 23 for fine-mapping) spanning 300 kilobases in and around COL5A1 were genotyped and tested for genetic association. Logistic regression models implemented in PLINK were used to test for association in case controls. Generalized estimating equation models accounting for familial correlations implemented in genome-wide interaction analyses with family data were used for association testing in families.

RESULTS: Two CCT associated SNPs (rs1536482 and rs7044529 near and within COL5A1) were identified in the keratoconus discovery cohort (P values of 6.5 {\texttimes} 10(-3) and 7.4 {\texttimes} 10(-3)). SNP rs1536482 was replicated in the second case-control sample (P = 0.02), and SNP rs7044529 was replicated in a keratoconus family panel (P = 0.03). Meta P values of rs1536482 and rs7044529 in the keratoconus cohorts were 1.5 {\texttimes} 10(-4) (odds ratio [OR] = 1.30) and 2.9 {\texttimes} 10(-3) (OR = 1.39). After Bonferroni correction, the association of SNP rs1536482 remained significant (P = 6.5 {\texttimes} 10(-3)).

CONCLUSIONS: SNPs in the COL5A1 region, which regulate normal variation in CCT, may play a role in the thinning associated with keratoconus.

}, keywords = {Adult, Aged, Collagen Type V, Cornea, Corneal Topography, DNA, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Keratoconus, Male, Microscopy, Acoustic, Middle Aged, Polymorphism, Single Nucleotide, Tomography, Optical Coherence}, issn = {1552-5783}, doi = {10.1167/iovs.13-11601}, author = {Li, Xiaohui and Bykhovskaya, Yelena and Canedo, Ana Laura Caiado and Haritunians, Talin and Siscovick, David and Aldave, Anthony J and Szczotka-Flynn, Loretta and Iyengar, Sudha K and Rotter, Jerome I and Taylor, Kent D and Rabinowitz, Yaron S} } @article {6027, title = {Genetic loci for retinal arteriolar microcirculation.}, journal = {PLoS One}, volume = {8}, year = {2013}, month = {2013}, pages = {e65804}, abstract = {

Narrow arterioles in the retina have been shown to predict hypertension as well as other vascular diseases, likely through an increase in the peripheral resistance of the microcirculatory flow. In this study, we performed a genome-wide association study in 18,722 unrelated individuals of European ancestry from the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium and the Blue Mountain Eye Study, to identify genetic determinants associated with variations in retinal arteriolar caliber. Retinal vascular calibers were measured on digitized retinal photographs using a standardized protocol. One variant (rs2194025 on chromosome 5q14 near the myocyte enhancer factor 2C MEF2C gene) was associated with retinal arteriolar caliber in the meta-analysis of the discovery cohorts at genome-wide significance of P-value <5{\texttimes}10(-8). This variant was replicated in an additional 3,939 individuals of European ancestry from the Australian Twins Study and Multi-Ethnic Study of Atherosclerosis (rs2194025, P-value = 2.11{\texttimes}10(-12) in combined meta-analysis of discovery and replication cohorts). In independent studies of modest sample sizes, no significant association was found between this variant and clinical outcomes including coronary artery disease, stroke, myocardial infarction or hypertension. In conclusion, we found one novel loci which underlie genetic variation in microvasculature which may be relevant to vascular disease. The relevance of these findings to clinical outcomes remains to be determined.

}, keywords = {Aged, Aged, 80 and over, Arterioles, Chromosomes, Human, Pair 5, European Continental Ancestry Group, Female, Genetic Loci, Genome-Wide Association Study, Genotype, Humans, Male, MEF2 Transcription Factors, Microcirculation, Middle Aged, Models, Genetic, Retinal Vessels}, issn = {1932-6203}, doi = {10.1371/journal.pone.0065804}, author = {Sim, Xueling and Jensen, Richard A and Ikram, M Kamran and Cotch, Mary Frances and Li, Xiaohui and Macgregor, Stuart and Xie, Jing and Smith, Albert Vernon and Boerwinkle, Eric and Mitchell, Paul and Klein, Ronald and Klein, Barbara E K and Glazer, Nicole L and Lumley, Thomas and McKnight, Barbara and Psaty, Bruce M and de Jong, Paulus T V M and Hofman, Albert and Rivadeneira, Fernando and Uitterlinden, Andr{\'e} G and van Duijn, Cornelia M and Aspelund, Thor and Eiriksdottir, Gudny and Harris, Tamara B and Jonasson, Fridbert and Launer, Lenore J and Attia, John and Baird, Paul N and Harrap, Stephen and Holliday, Elizabeth G and Inouye, Michael and Rochtchina, Elena and Scott, Rodney J and Viswanathan, Ananth and Li, Guo and Smith, Nicholas L and Wiggins, Kerri L and Kuo, Jane Z and Taylor, Kent D and Hewitt, Alex W and Martin, Nicholas G and Montgomery, Grant W and Sun, Cong and Young, Terri L and Mackey, David A and van Zuydam, Natalie R and Doney, Alex S F and Palmer, Colin N A and Morris, Andrew D and Rotter, Jerome I and Tai, E Shyong and Gudnason, Vilmundur and Vingerling, Johannes R and Siscovick, David S and Wang, Jie Jin and Wong, Tien Y} } @article {6631, title = {Genetic risk factors for BMI and obesity in an ethnically diverse population: results from the population architecture using genomics and epidemiology (PAGE) study.}, journal = {Obesity (Silver Spring)}, volume = {21}, year = {2013}, month = {2013 Apr}, pages = {835-46}, abstract = {

OBJECTIVE: Several genome-wide association studies (GWAS) have demonstrated that common genetic variants contribute to obesity. However, studies of this complex trait have focused on ancestrally European populations, despite the high prevalence of obesity in some minority groups.

DESIGN AND METHODS: As part of the "Population Architecture using Genomics and Epidemiology (PAGE)" Consortium, we investigated the association between 13 GWAS-identified single-nucleotide polymorphisms (SNPs) and BMI and obesity in 69,775 subjects, including 6,149 American Indians, 15,415 African-Americans, 2,438 East Asians, 7,346 Hispanics, 604 Pacific Islanders, and 37,823 European Americans. For the BMI-increasing allele of each SNP, we calculated β coefficients using linear regression (for BMI) and risk estimates using logistic regression (for obesity defined as BMI >= 30) followed by fixed-effects meta-analysis to combine results across PAGE sites. Analyses stratified by racial/ethnic group assumed an additive genetic model and were adjusted for age, sex, and current smoking. We defined "replicating SNPs" (in European Americans) and "generalizing SNPs" (in other racial/ethnic groups) as those associated with an allele frequency-specific increase in BMI.

RESULTS: By this definition, we replicated 9/13 SNP associations (5 out of 8 loci) in European Americans. We also generalized 8/13 SNP associations (5/8 loci) in East Asians, 7/13 (5/8 loci) in African Americans, 6/13 (4/8 loci) in Hispanics, 5/8 in Pacific Islanders (5/8 loci), and 5/9 (4/8 loci) in American Indians.

CONCLUSION: Linkage disequilibrium patterns suggest that tagSNPs selected for European Americans may not adequately tag causal variants in other ancestry groups. Accordingly, fine-mapping in large samples is needed to comprehensively explore these loci in diverse populations.

}, keywords = {Alleles, Body Mass Index, Ethnic Groups, Gene Frequency, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Linkage Disequilibrium, Metagenomics, Obesity, Phenotype, Polymorphism, Single Nucleotide, Risk Factors}, issn = {1930-739X}, doi = {10.1002/oby.20268}, author = {Fesinmeyer, Megan D and North, Kari E and Ritchie, Marylyn D and Lim, Unhee and Franceschini, Nora and Wilkens, Lynne R and Gross, Myron D and B{\r u}zkov{\'a}, Petra and Glenn, Kimberly and Quibrera, P Miguel and Fernandez-Rhodes, Lindsay and Li, Qiong and Fowke, Jay H and Li, Rongling and Carlson, Christopher S and Prentice, Ross L and Kuller, Lewis H and Manson, JoAnn E and Matise, Tara C and Cole, Shelley A and Chen, Christina T L and Howard, Barbara V and Kolonel, Laurence N and Henderson, Brian E and Monroe, Kristine R and Crawford, Dana C and Hindorff, Lucia A and Buyske, Steven and Haiman, Christopher A and Le Marchand, Lo{\"\i}c and Peters, Ulrike} } @article {6290, title = {Genetic variants associated with fasting glucose and insulin concentrations in an ethnically diverse population: results from the Population Architecture using Genomics and Epidemiology (PAGE) study.}, journal = {BMC Med Genet}, volume = {14}, year = {2013}, month = {2013 Sep 25}, pages = {98}, abstract = {

BACKGROUND: Multiple genome-wide association studies (GWAS) within European populations have implicated common genetic variants associated with insulin and glucose concentrations. In contrast, few studies have been conducted within minority groups, which carry the highest burden of impaired glucose homeostasis and type 2 diabetes in the U.S.

METHODS: As part of the {\textquoteright}Population Architecture using Genomics and Epidemiology (PAGE) Consortium, we investigated the association of up to 10 GWAS-identified single nucleotide polymorphisms (SNPs) in 8 genetic regions with glucose or insulin concentrations in up to 36,579 non-diabetic subjects including 23,323 European Americans (EA) and 7,526 African Americans (AA), 3,140 Hispanics, 1,779 American Indians (AI), and 811 Asians. We estimated the association between each SNP and fasting glucose or log-transformed fasting insulin, followed by meta-analysis to combine results across PAGE sites.

RESULTS: Overall, our results show that 9/9 GWAS SNPs are associated with glucose in EA (p = 0.04 to 9 {\texttimes} 10-15), versus 3/9 in AA (p= 0.03 to 6 {\texttimes} 10-5), 3/4 SNPs in Hispanics, 2/4 SNPs in AI, and 1/2 SNPs in Asians. For insulin we observed a significant association with rs780094/GCKR in EA, Hispanics and AI only.

CONCLUSIONS: Generalization of results across multiple racial/ethnic groups helps confirm the relevance of some of these loci for glucose and insulin metabolism. Lack of association in non-EA groups may be due to insufficient power, or to unique patterns of linkage disequilibrium.

}, keywords = {Adaptor Proteins, Signal Transducing, Adult, African Americans, Aged, Alleles, Asian Continental Ancestry Group, Blood Glucose, Diabetes Mellitus, Type 2, European Continental Ancestry Group, Female, Gene Frequency, Genetic Loci, Genome-Wide Association Study, Genomics, Hispanic Americans, Humans, Indians, North American, Insulin, Male, Middle Aged, Polymorphism, Single Nucleotide, Transcription Factor 7-Like 2 Protein}, issn = {1471-2350}, doi = {10.1186/1471-2350-14-98}, author = {Fesinmeyer, Megan D and Meigs, James B and North, Kari E and Schumacher, Fredrick R and B{\r u}zkov{\'a}, Petra and Franceschini, Nora and Haessler, Jeffrey and Goodloe, Robert and Spencer, Kylee L and Voruganti, Venkata Saroja and Howard, Barbara V and Jackson, Rebecca and Kolonel, Laurence N and Liu, Simin and Manson, JoAnn E and Monroe, Kristine R and Mukamal, Kenneth and Dilks, Holli H and Pendergrass, Sarah A and Nato, Andrew and Wan, Peggy and Wilkens, Lynne R and Le Marchand, Lo{\"\i}c and Ambite, Jose Luis and Buyske, Steven and Florez, Jose C and Crawford, Dana C and Hindorff, Lucia A and Haiman, Christopher A and Peters, Ulrike and Pankow, James S} } @article {5995, title = {Genetically elevated fetuin-A levels, fasting glucose levels, and risk of type 2 diabetes: the cardiovascular health study.}, journal = {Diabetes Care}, volume = {36}, year = {2013}, month = {2013 Oct}, pages = {3121-7}, abstract = {

OBJECTIVE: Fetuin-A levels are associated with higher risk of type 2 diabetes, but it is unknown if the association is causal. We investigated common (>5\%) genetic variants in the fetuin-A gene (AHSG) fetuin-A levels, fasting glucose, and risk of type 2 diabetes.

RESEARCH DESIGN AND METHODS: Genetic variation, fetuin-A levels, and fasting glucose were assessed in 2,893 Caucasian and 542 African American community-living individuals 65 years of age or older in 1992-1993.

RESULTS: Common AHSG variants (rs4917 and rs2248690) were strongly associated with fetuin-A concentrations (P<0.0001). In analyses of 259 incident cases of type 2 diabetes, the single nucleotide polymorphisms (SNPs) were not associated with diabetes risk during follow-up and similar null associations were observed when 579 prevalent cases were included. As expected, higher fetuin-A levels were associated with higher fasting glucose concentrations (1.9 mg/dL [95\% CI, 1.2-2.7] higher per SD in Caucasians), but Mendelian randomization analyses using both SNPs as unbiased proxies for measured fetuin-A did not support an association between genetically predicted fetuin-A levels and fasting glucose (-0.3 mg/dL [95\% CI, -1.9 to 1.3] lower per SD in Caucasians). The difference between the associations of fasting glucose with actual and genetically predicted fetuin-A level was statistically significant (P=0.001). Results among the smaller sample of African Americans trended in similar directions but were statistically insignificant.

CONCLUSIONS: Common variants in the AHSG gene are strongly associated with plasma fetuin-A concentrations, but not with risk of type 2 diabetes or glucose concentrations, raising the possibility that the association between fetuin-A and type 2 diabetes may not be causal.

}, keywords = {alpha-2-HS-Glycoprotein, Blood Glucose, Diabetes Mellitus, Type 2, Fasting, Female, Genotype, Humans, Male, Polymorphism, Single Nucleotide}, issn = {1935-5548}, doi = {10.2337/dc12-2323}, author = {Jensen, Majken K and Bartz, Traci M and Djouss{\'e}, Luc and Kizer, Jorge R and Zieman, Susan J and Rimm, Eric B and Siscovick, David S and Psaty, Bruce M and Ix, Joachim H and Mukamal, Kenneth J} } @article {6282, title = {Genome-wide and gene-centric analyses of circulating myeloperoxidase levels in the charge and care consortia.}, journal = {Hum Mol Genet}, volume = {22}, year = {2013}, month = {2013 Aug 15}, pages = {3381-93}, abstract = {

Increased systemic levels of myeloperoxidase (MPO) are associated with the risk of coronary artery disease (CAD). To identify the genetic factors that are associated with circulating MPO levels, we carried out a genome-wide association study (GWAS) and a gene-centric analysis in subjects of European ancestry and African Americans (AAs). A locus on chromosome 1q31.1 containing the complement factor H (CFH) gene was strongly associated with serum MPO levels in 9305 subjects of European ancestry (lead SNP rs800292; P = 4.89 {\texttimes} 10(-41)) and in 1690 AA subjects (rs505102; P = 1.05 {\texttimes} 10(-8)). Gene-centric analyses in 8335 subjects of European ancestry additionally identified two rare MPO coding sequence variants that were associated with serum MPO levels (rs28730837, P = 5.21 {\texttimes} 10(-12); rs35897051, P = 3.32 {\texttimes} 10(-8)). A GWAS for plasma MPO levels in 9260 European ancestry subjects identified a chromosome 17q22 region near MPO that was significantly associated (lead SNP rs6503905; P = 2.94 {\texttimes} 10(-12)), but the CFH locus did not exhibit evidence of association with plasma MPO levels. Functional analyses revealed that rs800292 was associated with levels of complement proteins in serum. Variants at chromosome 17q22 also had pleiotropic cis effects on gene expression. In a case-control analysis of \~{}80 000 subjects from CARDIoGRAM, none of the identified single-nucleotide polymorphisms (SNPs) were associated with CAD. These results suggest that distinct genetic factors regulate serum and plasma MPO levels, which may have relevance for various acute and chronic inflammatory disorders. The clinical implications for CAD and a better understanding of the functional basis for the association of CFH and MPO variants with circulating MPO levels require further study.

}, keywords = {Adult, African Americans, Aged, Case-Control Studies, Complement Factor H, Coronary Artery Disease, European Continental Ancestry Group, Female, Gene Expression Regulation, Enzymologic, Genetic Association Studies, Genetic Variation, Genome-Wide Association Study, Genotype, Humans, Male, Middle Aged, Peroxidase, Polymorphism, Single Nucleotide, Young Adult}, issn = {1460-2083}, doi = {10.1093/hmg/ddt189}, author = {Reiner, Alexander P and Hartiala, Jaana and Zeller, Tanja and Bis, Joshua C and Dupuis, Jos{\'e}e and Fornage, Myriam and Baumert, Jens and Kleber, Marcus E and Wild, Philipp S and Baldus, Stephan and Bielinski, Suzette J and Fontes, Jo{\~a}o D and Illig, Thomas and Keating, Brendan J and Lange, Leslie A and Ojeda, Francisco and M{\"u}ller-Nurasyid, Martina and Munzel, Thomas F and Psaty, Bruce M and Rice, Kenneth and Rotter, Jerome I and Schnabel, Renate B and Tang, W H Wilson and Thorand, Barbara and Erdmann, Jeanette and Jacobs, David R and Wilson, James G and Koenig, Wolfgang and Tracy, Russell P and Blankenberg, Stefan and M{\"a}rz, Winfried and Gross, Myron D and Benjamin, Emelia J and Hazen, Stanley L and Allayee, Hooman} } @article {6075, title = {Genome-wide association analyses identify 18 new loci associated with serum urate concentrations.}, journal = {Nat Genet}, volume = {45}, year = {2013}, month = {2013 Feb}, pages = {145-54}, abstract = {

Elevated serum urate concentrations can cause gout, a prevalent and painful inflammatory arthritis. By combining data from >140,000 individuals of European ancestry within the Global Urate Genetics Consortium (GUGC), we identified and replicated 28 genome-wide significant loci in association with serum urate concentrations (18 new regions in or near TRIM46, INHBB, SFMBT1, TMEM171, VEGFA, BAZ1B, PRKAG2, STC1, HNF4G, A1CF, ATXN2, UBE2Q2, IGF1R, NFAT5, MAF, HLF, ACVR1B-ACVRL1 and B3GNT4). Associations for many of the loci were of similar magnitude in individuals of non-European ancestry. We further characterized these loci for associations with gout, transcript expression and the fractional excretion of urate. Network analyses implicate the inhibins-activins signaling pathways and glucose metabolism in systemic urate control. New candidate genes for serum urate concentration highlight the importance of metabolic control of urate production and excretion, which may have implications for the treatment and prevention of gout.

}, keywords = {Analysis of Variance, European Continental Ancestry Group, Gene Frequency, Genetic Loci, Genome-Wide Association Study, Glucose, Gout, Humans, Inhibins, Polymorphism, Single Nucleotide, Signal Transduction, Uric Acid}, issn = {1546-1718}, doi = {10.1038/ng.2500}, author = {K{\"o}ttgen, Anna and Albrecht, Eva and Teumer, Alexander and Vitart, Veronique and Krumsiek, Jan and Hundertmark, Claudia and Pistis, Giorgio and Ruggiero, Daniela and O{\textquoteright}Seaghdha, Conall M and Haller, Toomas and Yang, Qiong and Tanaka, Toshiko and Johnson, Andrew D and Kutalik, Zolt{\'a}n and Smith, Albert V and Shi, Julia and Struchalin, Maksim and Middelberg, Rita P S and Brown, Morris J and Gaffo, Angelo L and Pirastu, Nicola and Li, Guo and Hayward, Caroline and Zemunik, Tatijana and Huffman, Jennifer and Yengo, Loic and Zhao, Jing Hua and Demirkan, Ayse and Feitosa, Mary F and Liu, Xuan and Malerba, Giovanni and Lopez, Lorna M and van der Harst, Pim and Li, Xinzhong and Kleber, Marcus E and Hicks, Andrew A and Nolte, Ilja M and Johansson, Asa and Murgia, Federico and Wild, Sarah H and Bakker, Stephan J L and Peden, John F and Dehghan, Abbas and Steri, Maristella and Tenesa, Albert and Lagou, Vasiliki and Salo, Perttu and Mangino, Massimo and Rose, Lynda M and Lehtim{\"a}ki, Terho and Woodward, Owen M and Okada, Yukinori and Tin, Adrienne and M{\"u}ller, Christian and Oldmeadow, Christopher and Putku, Margus and Czamara, Darina and Kraft, Peter and Frogheri, Laura and Thun, Gian Andri and Grotevendt, Anne and Gislason, Gauti Kjartan and Harris, Tamara B and Launer, Lenore J and McArdle, Patrick and Shuldiner, Alan R and Boerwinkle, Eric and Coresh, Josef and Schmidt, Helena and Schallert, Michael and Martin, Nicholas G and Montgomery, Grant W and Kubo, Michiaki and Nakamura, Yusuke and Tanaka, Toshihiro and Munroe, Patricia B and Samani, Nilesh J and Jacobs, David R and Liu, Kiang and D{\textquoteright}Adamo, Pio and Ulivi, Sheila and Rotter, Jerome I and Psaty, Bruce M and Vollenweider, Peter and Waeber, G{\'e}rard and Campbell, Susan and Devuyst, Olivier and Navarro, Pau and Kolcic, Ivana and Hastie, Nicholas and Balkau, Beverley and Froguel, Philippe and Esko, T{\~o}nu and Salumets, Andres and Khaw, Kay Tee and Langenberg, Claudia and Wareham, Nicholas J and Isaacs, Aaron and Kraja, Aldi and Zhang, Qunyuan and Wild, Philipp S and Scott, Rodney J and Holliday, Elizabeth G and Org, Elin and Viigimaa, Margus and Bandinelli, Stefania and Metter, Jeffrey E and Lupo, Antonio and Trabetti, Elisabetta and Sorice, Rossella and D{\"o}ring, Angela and Lattka, Eva and Strauch, Konstantin and Theis, Fabian and Waldenberger, Melanie and Wichmann, H-Erich and Davies, Gail and Gow, Alan J and Bruinenberg, Marcel and Stolk, Ronald P and Kooner, Jaspal S and Zhang, Weihua and Winkelmann, Bernhard R and Boehm, Bernhard O and Lucae, Susanne and Penninx, Brenda W and Smit, Johannes H and Curhan, Gary and Mudgal, Poorva and Plenge, Robert M and Portas, Laura and Persico, Ivana and Kirin, Mirna and Wilson, James F and Mateo Leach, Irene and van Gilst, Wiek H and Goel, Anuj and Ongen, Halit and Hofman, Albert and Rivadeneira, Fernando and Uitterlinden, Andr{\'e} G and Imboden, Medea and von Eckardstein, Arnold and Cucca, Francesco and Nagaraja, Ramaiah and Piras, Maria Grazia and Nauck, Matthias and Schurmann, Claudia and Budde, Kathrin and Ernst, Florian and Farrington, Susan M and Theodoratou, Evropi and Prokopenko, Inga and Stumvoll, Michael and Jula, Antti and Perola, Markus and Salomaa, Veikko and Shin, So-Youn and Spector, Tim D and Sala, Cinzia and Ridker, Paul M and K{\"a}h{\"o}nen, Mika and Viikari, Jorma and Hengstenberg, Christian and Nelson, Christopher P and Meschia, James F and Nalls, Michael A and Sharma, Pankaj and Singleton, Andrew B and Kamatani, Naoyuki and Zeller, Tanja and Burnier, Michel and Attia, John and Laan, Maris and Klopp, Norman and Hillege, Hans L and Kloiber, Stefan and Choi, Hyon and Pirastu, Mario and Tore, Silvia and Probst-Hensch, Nicole M and V{\"o}lzke, Henry and Gudnason, Vilmundur and Parsa, Afshin and Schmidt, Reinhold and Whitfield, John B and Fornage, Myriam and Gasparini, Paolo and Siscovick, David S and Polasek, Ozren and Campbell, Harry and Rudan, Igor and Bouatia-Naji, Nabila and Metspalu, Andres and Loos, Ruth J F and van Duijn, Cornelia M and Borecki, Ingrid B and Ferrucci, Luigi and Gambaro, Giovanni and Deary, Ian J and Wolffenbuttel, Bruce H R and Chambers, John C and M{\"a}rz, Winfried and Pramstaller, Peter P and Snieder, Harold and Gyllensten, Ulf and Wright, Alan F and Navis, Gerjan and Watkins, Hugh and Witteman, Jacqueline C M and Sanna, Serena and Schipf, Sabine and Dunlop, Malcolm G and T{\"o}njes, Anke and Ripatti, Samuli and Soranzo, Nicole and Toniolo, Daniela and Chasman, Daniel I and Raitakari, Olli and Kao, W H Linda and Ciullo, Marina and Fox, Caroline S and Caulfield, Mark and Bochud, Murielle and Gieger, Christian} } @article {6287, title = {Genome-wide association of body fat distribution in African ancestry populations suggests new loci.}, journal = {PLoS Genet}, volume = {9}, year = {2013}, month = {2013}, pages = {e1003681}, abstract = {

Central obesity, measured by waist circumference (WC) or waist-hip ratio (WHR), is a marker of body fat distribution. Although obesity disproportionately affects minority populations, few studies have conducted genome-wide association study (GWAS) of fat distribution among those of predominantly African ancestry (AA). We performed GWAS of WC and WHR, adjusted and unadjusted for BMI, in up to 33,591 and 27,350 AA individuals, respectively. We identified loci associated with fat distribution in AA individuals using meta-analyses of GWA results for WC and WHR (stage 1). Overall, 25 SNPs with single genomic control (GC)-corrected p-values<5.0 {\texttimes} 10(-6) were followed-up (stage 2) in AA with WC and with WHR. Additionally, we interrogated genomic regions of previously identified European ancestry (EA) WHR loci among AA. In joint analysis of association results including both Stage 1 and 2 cohorts, 2 SNPs demonstrated association, rs2075064 at LHX2, p = 2.24{\texttimes}10(-8) for WC-adjusted-for-BMI, and rs6931262 at RREB1, p = 2.48{\texttimes}10(-8) for WHR-adjusted-for-BMI. However, neither signal was genome-wide significant after double GC-correction (LHX2: p = 6.5 {\texttimes} 10(-8); RREB1: p = 5.7 {\texttimes} 10(-8)). Six of fourteen previously reported loci for waist in EA populations were significant (p<0.05 divided by the number of independent SNPs within the region) in AA studied here (TBX15-WARS2, GRB14, ADAMTS9, LY86, RSPO3, ITPR2-SSPN). Further, we observed associations with metabolic traits: rs13389219 at GRB14 associated with HDL-cholesterol, triglycerides, and fasting insulin, and rs13060013 at ADAMTS9 with HDL-cholesterol and fasting insulin. Finally, we observed nominal evidence for sexual dimorphism, with stronger results in AA women at the GRB14 locus (p for interaction = 0.02). In conclusion, we identified two suggestive loci associated with fat distribution in AA populations in addition to confirming 6 loci previously identified in populations of EA. These findings reinforce the concept that there are fat distribution loci that are independent of generalized adiposity.

}, keywords = {Adiposity, African Continental Ancestry Group, Body Fat Distribution, European Continental Ancestry Group, Female, Genetic Loci, Genome-Wide Association Study, Humans, Male, Obesity, Polymorphism, Single Nucleotide, Waist-Hip Ratio}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1003681}, author = {Liu, Ching-Ti and Monda, Keri L and Taylor, Kira C and Lange, Leslie and Demerath, Ellen W and Palmas, Walter and Wojczynski, Mary K and Ellis, Jaclyn C and Vitolins, Mara Z and Liu, Simin and Papanicolaou, George J and Irvin, Marguerite R and Xue, Luting and Griffin, Paula J and Nalls, Michael A and Adeyemo, Adebowale and Liu, Jiankang and Li, Guo and Ruiz-Narvaez, Edward A and Chen, Wei-Min and Chen, Fang and Henderson, Brian E and Millikan, Robert C and Ambrosone, Christine B and Strom, Sara S and Guo, Xiuqing and Andrews, Jeanette S and Sun, Yan V and Mosley, Thomas H and Yanek, Lisa R and Shriner, Daniel and Haritunians, Talin and Rotter, Jerome I and Speliotes, Elizabeth K and Smith, Megan and Rosenberg, Lynn and Mychaleckyj, Josyf and Nayak, Uma and Spruill, Ida and Garvey, W Timothy and Pettaway, Curtis and Nyante, Sarah and Bandera, Elisa V and Britton, Angela F and Zonderman, Alan B and Rasmussen-Torvik, Laura J and Chen, Yii-Der Ida and Ding, Jingzhong and Lohman, Kurt and Kritchevsky, Stephen B and Zhao, Wei and Peyser, Patricia A and Kardia, Sharon L R and Kabagambe, Edmond and Broeckel, Ulrich and Chen, Guanjie and Zhou, Jie and Wassertheil-Smoller, Sylvia and Neuhouser, Marian L and Rampersaud, Evadnie and Psaty, Bruce and Kooperberg, Charles and Manson, JoAnn E and Kuller, Lewis H and Ochs-Balcom, Heather M and Johnson, Karen C and Sucheston, Lara and Ordovas, Jose M and Palmer, Julie R and Haiman, Christopher A and McKnight, Barbara and Howard, Barbara V and Becker, Diane M and Bielak, Lawrence F and Liu, Yongmei and Allison, Matthew A and Grant, Struan F A and Burke, Gregory L and Patel, Sanjay R and Schreiner, Pamela J and Borecki, Ingrid B and Evans, Michele K and Taylor, Herman and Sale, Mich{\`e}le M and Howard, Virginia and Carlson, Christopher S and Rotimi, Charles N and Cushman, Mary and Harris, Tamara B and Reiner, Alexander P and Cupples, L Adrienne and North, Kari E and Fox, Caroline S} } @article {6029, title = {A genome-wide association study for venous thromboembolism: the extended cohorts for heart and aging research in genomic epidemiology (CHARGE) consortium.}, journal = {Genet Epidemiol}, volume = {37}, year = {2013}, month = {2013 Jul}, pages = {512-521}, abstract = {

Venous thromboembolism (VTE) is a common, heritable disease resulting in high rates of hospitalization and mortality. Yet few associations between VTE and genetic variants, all in the coagulation pathway, have been established. To identify additional genetic determinants of VTE, we conducted a two-stage genome-wide association study (GWAS) among individuals of European ancestry in the extended cohorts for heart and aging research in genomic epidemiology (CHARGE) VTE consortium. The discovery GWAS comprised 1,618 incident VTE cases out of 44,499 participants from six community-based studies. Genotypes for genome-wide single-nucleotide polymorphisms (SNPs) were imputed to approximately 2.5 million SNPs in HapMap and association with VTE assessed using study-design appropriate regression methods. Meta-analysis of these results identified two known loci, in F5 and ABO. Top 1,047 tag SNPs (P <= 0.0016) from the discovery GWAS were tested for association in an additional 3,231 cases and 3,536 controls from three case-control studies. In the combined data from these two stages, additional genome-wide significant associations were observed on 4q35 at F11 (top SNP rs4253399, intronic to F11) and on 4q28 at FGG (rs6536024, 9.7 kb from FGG; P < 5.0 {\texttimes} 10(-13) for both). The associations at the FGG locus were not completely explained by previously reported variants. Loci at or near SUSD1 and OTUD7A showed borderline yet novel associations (P < 5.0 {\texttimes} 10(-6) ) and constitute new candidate genes. In conclusion, this large GWAS replicated key genetic associations in F5 and ABO, and confirmed the importance of F11 and FGG loci for VTE. Future studies are warranted to better characterize the associations with F11 and FGG and to replicate the new candidate associations.

}, keywords = {Aged, Aging, Case-Control Studies, Cohort Studies, Female, Genome-Wide Association Study, Humans, Male, Meta-Analysis as Topic, Middle Aged, Polymorphism, Single Nucleotide, Regression Analysis, Risk Factors, Venous Thromboembolism}, issn = {1098-2272}, doi = {10.1002/gepi.21731}, author = {Tang, Weihong and Teichert, Martina and Chasman, Daniel I and Heit, John A and Morange, Pierre-Emmanuel and Li, Guo and Pankratz, Nathan and Leebeek, Frank W and Par{\'e}, Guillaume and de Andrade, Mariza and Tzourio, Christophe and Psaty, Bruce M and Basu, Saonli and Ruiter, Rikje and Rose, Lynda and Armasu, Sebastian M and Lumley, Thomas and Heckbert, Susan R and Uitterlinden, Andr{\'e} G and Lathrop, Mark and Rice, Kenneth M and Cushman, Mary and Hofman, Albert and Lambert, Jean-Charles and Glazer, Nicole L and Pankow, James S and Witteman, Jacqueline C and Amouyel, Philippe and Bis, Joshua C and Bovill, Edwin G and Kong, Xiaoxiao and Tracy, Russell P and Boerwinkle, Eric and Rotter, Jerome I and Tr{\'e}gou{\"e}t, David-Alexandre and Loth, Daan W and Stricker, Bruno H Ch and Ridker, Paul M and Folsom, Aaron R and Smith, Nicholas L} } @article {5880, title = {Genome-wide association study identifies novel loci associated with concentrations of four plasma phospholipid fatty acids in the de novo lipogenesis pathway: results from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortiu}, journal = {Circ Cardiovasc Genet}, volume = {6}, year = {2013}, month = {2013 Apr}, pages = {171-83}, abstract = {

BACKGROUND- Palmitic acid (16:0), stearic acid (18:0), palmitoleic acid (16:1n-7), and oleic acid (18:1n-9) are major saturated and monounsaturated fatty acids that affect cellular signaling and metabolic pathways. They are synthesized via de novo lipogenesis and are the main saturated and monounsaturated fatty acids in the diet. Levels of these fatty acids have been linked to diseases including type 2 diabetes mellitus and coronary heart disease. METHODS AND RESULTS- Genome-wide association studies were conducted in 5 population-based cohorts comprising 8961 participants of European ancestry to investigate the association of common genetic variation with plasma levels of these 4 fatty acids. We identified polymorphisms in 7 novel loci associated with circulating levels of >=1 of these fatty acids. ALG14 (asparagine-linked glycosylation 14 homolog) polymorphisms were associated with higher 16:0 (P=2.7{\texttimes}10(-11)) and lower 18:0 (P=2.2{\texttimes}10(-18)). FADS1 and FADS2 (desaturases) polymorphisms were associated with higher 16:1n-7 (P=6.6{\texttimes}10(-13)) and 18:1n-9 (P=2.2{\texttimes}10(-32)) and lower 18:0 (P=1.3{\texttimes}10(-20)). LPGAT1 (lysophosphatidylglycerol acyltransferase) polymorphisms were associated with lower 18:0 (P=2.8{\texttimes}10(-9)). GCKR (glucokinase regulator; P=9.8{\texttimes}10(-10)) and HIF1AN (factor inhibiting hypoxia-inducible factor-1; P=5.7{\texttimes}10(-9)) polymorphisms were associated with higher 16:1n-7, whereas PKD2L1 (polycystic kidney disease 2-like 1; P=5.7{\texttimes}10(-15)) and a locus on chromosome 2 (not near known genes) were associated with lower 16:1n-7 (P=4.1{\texttimes}10(-8)). CONCLUSIONS- Our findings provide novel evidence that common variations in genes with diverse functions, including protein-glycosylation, polyunsaturated fatty acid metabolism, phospholipid modeling, and glucose- and oxygen-sensing pathways, are associated with circulating levels of 4 fatty acids in the de novo lipogenesis pathway. These results expand our knowledge of genetic factors relevant to de novo lipogenesis and fatty acid biology.

}, keywords = {Adult, Aged, Chromosomes, Human, Pair 2, Cohort Studies, Coronary Disease, Diabetes Mellitus, Type 2, Fatty Acids, Monounsaturated, Female, Genetic Loci, Genome-Wide Association Study, Genotype, Humans, Linkage Disequilibrium, Lipogenesis, Male, Middle Aged, Oleic Acid, Palmitic Acid, Polymorphism, Single Nucleotide, Stearic Acids}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.112.964619}, author = {Wu, Jason H Y and Lemaitre, Rozenn N and Manichaikul, Ani and Guan, Weihua and Tanaka, Toshiko and Foy, Millennia and Kabagambe, Edmond K and Djouss{\'e}, Luc and Siscovick, David and Fretts, Amanda M and Johnson, Catherine and King, Irena B and Psaty, Bruce M and McKnight, Barbara and Rich, Stephen S and Chen, Yii-der I and Nettleton, Jennifer A and Tang, Weihong and Bandinelli, Stefania and Jacobs, David R and Browning, Brian L and Laurie, Cathy C and Gu, Xiangjun and Tsai, Michael Y and Steffen, Lyn M and Ferrucci, Luigi and Fornage, Myriam and Mozaffarian, Dariush} } @article {6632, title = {Genome-wide association study of cardiac structure and systolic function in African Americans: the Candidate Gene Association Resource (CARe) study.}, journal = {Circ Cardiovasc Genet}, volume = {6}, year = {2013}, month = {2013 Feb}, pages = {37-46}, abstract = {

BACKGROUND: Using data from 4 community-based cohorts of African Americans, we tested the association between genome-wide markers (single-nucleotide polymorphisms) and cardiac phenotypes in the Candidate-gene Association Resource study.

METHODS AND RESULTS: Among 6765 African Americans, we related age, sex, height, and weight-adjusted residuals for 9 cardiac phenotypes (assessed by echocardiogram or magnetic resonance imaging) to 2.5 million single-nucleotide polymorphisms genotyped using Genome-wide Affymetrix Human SNP Array 6.0 (Affy6.0) and the remainder imputed. Within the cohort, genome-wide association analysis was conducted, followed by meta-analysis across cohorts using inverse variance weights (genome-wide significance threshold=4.0 {\texttimes}10(-7)). Supplementary pathway analysis was performed. We attempted replication in 3 smaller cohorts of African ancestry and tested lookups in 1 consortium of European ancestry (EchoGEN). Across the 9 phenotypes, variants in 4 genetic loci reached genome-wide significance: rs4552931 in UBE2V2 (P=1.43{\texttimes}10(-7)) for left ventricular mass, rs7213314 in WIPI1 (P=1.68{\texttimes}10(-7)) for left ventricular internal diastolic diameter, rs1571099 in PPAPDC1A (P=2.57{\texttimes}10(-8)) for interventricular septal wall thickness, and rs9530176 in KLF5 (P=4.02{\texttimes}10(-7)) for ejection fraction. Associated variants were enriched in 3 signaling pathways involved in cardiac remodeling. None of the 4 loci replicated in cohorts of African ancestry was confirmed in lookups in EchoGEN.

CONCLUSIONS: In the largest genome-wide association study of cardiac structure and function to date in African Americans, we identified 4 genetic loci related to left ventricular mass, interventricular septal wall thickness, left ventricular internal diastolic diameter, and ejection fraction, which reached genome-wide significance. Replication results suggest that these loci may be unique to individuals of African ancestry. Additional large-scale studies are warranted for these complex phenotypes.

}, keywords = {African Americans, Aged, Cohort Studies, Diastole, Echocardiography, European Continental Ancestry Group, Female, Genome-Wide Association Study, Genotype, Heart, Humans, Male, Middle Aged, Phenotype, Polymorphism, Single Nucleotide, Systole}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.111.962365}, author = {Fox, Ervin R and Musani, Solomon K and Barbalic, Maja and Lin, Honghuang and Yu, Bing and Ogunyankin, Kofo O and Smith, Nicholas L and Kutlar, Abdullah and Glazer, Nicole L and Post, Wendy S and Paltoo, Dina N and Dries, Daniel L and Farlow, Deborah N and Duarte, Christine W and Kardia, Sharon L and Meyers, Kristin J and Sun, Yan V and Arnett, Donna K and Patki, Amit A and Sha, Jin and Cui, Xiangqui and Samdarshi, Tandaw E and Penman, Alan D and Bibbins-Domingo, Kirsten and B{\r u}zkov{\'a}, Petra and Benjamin, Emelia J and Bluemke, David A and Morrison, Alanna C and Heiss, Gerardo and Carr, J Jeffrey and Tracy, Russell P and Mosley, Thomas H and Taylor, Herman A and Psaty, Bruce M and Heckbert, Susan R and Cappola, Thomas P and Vasan, Ramachandran S} } @article {6070, title = {A genome-wide association study of depressive symptoms.}, journal = {Biol Psychiatry}, volume = {73}, year = {2013}, month = {2013 Apr 01}, pages = {667-78}, abstract = {

BACKGROUND: Depression is a heritable trait that exists on a continuum of varying severity and duration. Yet, the search for genetic variants associated with depression has had few successes. We exploit the entire continuum of depression to find common variants for depressive symptoms.

METHODS: In this genome-wide association study, we combined the results of 17 population-based studies assessing depressive symptoms with the Center for Epidemiological Studies Depression Scale. Replication of the independent top hits (p<1{\texttimes}10(-5)) was performed in five studies assessing depressive symptoms with other instruments. In addition, we performed a combined meta-analysis of all 22 discovery and replication studies.

RESULTS: The discovery sample comprised 34,549 individuals (mean age of 66.5) and no loci reached genome-wide significance (lowest p = 1.05{\texttimes}10(-7)). Seven independent single nucleotide polymorphisms were considered for replication. In the replication set (n = 16,709), we found suggestive association of one single nucleotide polymorphism with depressive symptoms (rs161645, 5q21, p = 9.19{\texttimes}10(-3)). This 5q21 region reached genome-wide significance (p = 4.78{\texttimes}10(-8)) in the overall meta-analysis combining discovery and replication studies (n = 51,258).

CONCLUSIONS: The results suggest that only a large sample comprising more than 50,000 subjects may be sufficiently powered to detect genes for depressive symptoms.

}, keywords = {Aged, Aged, 80 and over, Chromosomes, Human, Pair 5, Depression, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide}, issn = {1873-2402}, doi = {10.1016/j.biopsych.2012.09.033}, author = {Hek, Karin and Demirkan, Ayse and Lahti, Jari and Terracciano, Antonio and Teumer, Alexander and Cornelis, Marilyn C and Amin, Najaf and Bakshis, Erin and Baumert, Jens and Ding, Jingzhong and Liu, Yongmei and Marciante, Kristin and Meirelles, Osorio and Nalls, Michael A and Sun, Yan V and Vogelzangs, Nicole and Yu, Lei and Bandinelli, Stefania and Benjamin, Emelia J and Bennett, David A and Boomsma, Dorret and Cannas, Alessandra and Coker, Laura H and de Geus, Eco and De Jager, Philip L and Diez-Roux, Ana V and Purcell, Shaun and Hu, Frank B and Rimma, Eric B and Hunter, David J and Jensen, Majken K and Curhan, Gary and Rice, Kenneth and Penman, Alan D and Rotter, Jerome I and Sotoodehnia, Nona and Emeny, Rebecca and Eriksson, Johan G and Evans, Denis A and Ferrucci, Luigi and Fornage, Myriam and Gudnason, Vilmundur and Hofman, Albert and Illig, Thomas and Kardia, Sharon and Kelly-Hayes, Margaret and Koenen, Karestan and Kraft, Peter and Kuningas, Maris and Massaro, Joseph M and Melzer, David and Mulas, Antonella and Mulder, Cornelis L and Murray, Anna and Oostra, Ben A and Palotie, Aarno and Penninx, Brenda and Petersmann, Astrid and Pilling, Luke C and Psaty, Bruce and Rawal, Rajesh and Reiman, Eric M and Schulz, Andrea and Shulman, Joshua M and Singleton, Andrew B and Smith, Albert V and Sutin, Angelina R and Uitterlinden, Andr{\'e} G and V{\"o}lzke, Henry and Widen, Elisabeth and Yaffe, Kristine and Zonderman, Alan B and Cucca, Francesco and Harris, Tamara and Ladwig, Karl-Heinz and Llewellyn, David J and R{\"a}ikk{\"o}nen, Katri and Tanaka, Toshiko and van Duijn, Cornelia M and Grabe, Hans J and Launer, Lenore J and Lunetta, Kathryn L and Mosley, Thomas H and Newman, Anne B and Tiemeier, Henning and Murabito, Joanne} } @article {6153, title = {A genome-wide association study of early menopause and the combined impact of identified variants.}, journal = {Hum Mol Genet}, volume = {22}, year = {2013}, month = {2013 Apr 01}, pages = {1465-72}, abstract = {

Early menopause (EM) affects up to 10\% of the female population, reducing reproductive lifespan considerably. Currently, it constitutes the leading cause of infertility in the western world, affecting mainly those women who postpone their first pregnancy beyond the age of 30 years. The genetic aetiology of EM is largely unknown in the majority of cases. We have undertaken a meta-analysis of genome-wide association studies (GWASs) in 3493 EM cases and 13 598 controls from 10 independent studies. No novel genetic variants were discovered, but the 17 variants previously associated with normal age at natural menopause as a quantitative trait (QT) were also associated with EM and primary ovarian insufficiency (POI). Thus, EM has a genetic aetiology which overlaps variation in normal age at menopause and is at least partly explained by the additive effects of the same polygenic variants. The combined effect of the common variants captured by the single nucleotide polymorphism arrays was estimated to account for \~{}30\% of the variance in EM. The association between the combined 17 variants and the risk of EM was greater than the best validated non-genetic risk factor, smoking.

}, keywords = {Case-Control Studies, Female, Gene Frequency, Genome-Wide Association Study, Humans, Menopause, Premature, Polymorphism, Single Nucleotide, Primary Ovarian Insufficiency, Quantitative Trait Loci, Risk}, issn = {1460-2083}, doi = {10.1093/hmg/dds551}, author = {Perry, John R B and Corre, Tanguy and Esko, T{\~o}nu and Chasman, Daniel I and Fischer, Krista and Franceschini, Nora and He, Chunyan and Kutalik, Zolt{\'a}n and Mangino, Massimo and Rose, Lynda M and Vernon Smith, Albert and Stolk, Lisette and Sulem, Patrick and Weedon, Michael N and Zhuang, Wei V and Arnold, Alice and Ashworth, Alan and Bergmann, Sven and Buring, Julie E and Burri, Andrea and Chen, Constance and Cornelis, Marilyn C and Couper, David J and Goodarzi, Mark O and Gudnason, Vilmundur and Harris, Tamara and Hofman, Albert and Jones, Michael and Kraft, Peter and Launer, Lenore and Laven, Joop S E and Li, Guo and McKnight, Barbara and Masciullo, Corrado and Milani, Lili and Orr, Nicholas and Psaty, Bruce M and Ridker, Paul M and Rivadeneira, Fernando and Sala, Cinzia and Salumets, Andres and Schoemaker, Minouk and Traglia, Michela and Waeber, G{\'e}rard and Chanock, Stephen J and Demerath, Ellen W and Garcia, Melissa and Hankinson, Susan E and Hu, Frank B and Hunter, David J and Lunetta, Kathryn L and Metspalu, Andres and Montgomery, Grant W and Murabito, Joanne M and Newman, Anne B and Ong, Ken K and Spector, Tim D and Stefansson, Kari and Swerdlow, Anthony J and Thorsteinsdottir, Unnur and van Dam, Rob M and Uitterlinden, Andr{\'e} G and Visser, Jenny A and Vollenweider, Peter and Toniolo, Daniela and Murray, Anna} } @article {6072, title = {Genome-wide association study of retinopathy in individuals without diabetes.}, journal = {PLoS One}, volume = {8}, year = {2013}, month = {2013}, pages = {e54232}, abstract = {

BACKGROUND: Mild retinopathy (microaneurysms or dot-blot hemorrhages) is observed in persons without diabetes or hypertension and may reflect microvascular disease in other organs. We conducted a genome-wide association study (GWAS) of mild retinopathy in persons without diabetes.

METHODS: A working group agreed on phenotype harmonization, covariate selection and analytic plans for within-cohort GWAS. An inverse-variance weighted fixed effects meta-analysis was performed with GWAS results from six cohorts of 19,411 Caucasians. The primary analysis included individuals without diabetes and secondary analyses were stratified by hypertension status. We also singled out the results from single nucleotide polymorphisms (SNPs) previously shown to be associated with diabetes and hypertension, the two most common causes of retinopathy.

RESULTS: No SNPs reached genome-wide significance in the primary analysis or the secondary analysis of participants with hypertension. SNP, rs12155400, in the histone deacetylase 9 gene (HDAC9) on chromosome 7, was associated with retinopathy in analysis of participants without hypertension, -1.3{\textpm}0.23 (beta {\textpm} standard error), p = 6.6{\texttimes}10(-9). Evidence suggests this was a false positive finding. The minor allele frequency was low (\~{}2\%), the quality of the imputation was moderate (r(2) \~{}0.7), and no other common variants in the HDAC9 gene were associated with the outcome. SNPs found to be associated with diabetes and hypertension in other GWAS were not associated with retinopathy in persons without diabetes or in subgroups with or without hypertension.

CONCLUSIONS: This GWAS of retinopathy in individuals without diabetes showed little evidence of genetic associations. Further studies are needed to identify genes associated with these signs in order to help unravel novel pathways and determinants of microvascular diseases.

}, keywords = {Aged, Aged, 80 and over, Female, Genome-Wide Association Study, Genotype, Histone Deacetylases, Humans, Hypertension, Male, Polymorphism, Single Nucleotide, Repressor Proteins, Retinal Diseases}, issn = {1932-6203}, doi = {10.1371/journal.pone.0054232}, author = {Jensen, Richard A and Sim, Xueling and Li, Xiaohui and Cotch, Mary Frances and Ikram, M Kamran and Holliday, Elizabeth G and Eiriksdottir, Gudny and Harris, Tamara B and Jonasson, Fridbert and Klein, Barbara E K and Launer, Lenore J and Smith, Albert Vernon and Boerwinkle, Eric and Cheung, Ning and Hewitt, Alex W and Liew, Gerald and Mitchell, Paul and Wang, Jie Jin and Attia, John and Scott, Rodney and Glazer, Nicole L and Lumley, Thomas and McKnight, Barbara and Psaty, Bruce M and Taylor, Kent and Hofman, Albert and de Jong, Paulus T V M and Rivadeneira, Fernando and Uitterlinden, Andr{\'e} G and Tay, Wan-Ting and Teo, Yik Ying and Seielstad, Mark and Liu, Jianjun and Cheng, Ching-Yu and Saw, Seang-Mei and Aung, Tin and Ganesh, Santhi K and O{\textquoteright}Donnell, Christopher J and Nalls, Mike A and Wiggins, Kerri L and Kuo, Jane Z and van Duijn, Cornelia M and Gudnason, Vilmundur and Klein, Ronald and Siscovick, David S and Rotter, Jerome I and Tai, E Shong and Vingerling, Johannes and Wong, Tien Y} } @article {6152, title = {Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture.}, journal = {Nat Genet}, volume = {45}, year = {2013}, month = {2013 May}, pages = {501-12}, abstract = {

Approaches exploiting trait distribution extremes may be used to identify loci associated with common traits, but it is unknown whether these loci are generalizable to the broader population. In a genome-wide search for loci associated with the upper versus the lower 5th percentiles of body mass index, height and waist-to-hip ratio, as well as clinical classes of obesity, including up to 263,407 individuals of European ancestry, we identified 4 new loci (IGFBP4, H6PD, RSRC1 and PPP2R2A) influencing height detected in the distribution tails and 7 new loci (HNF4G, RPTOR, GNAT2, MRPS33P4, ADCY9, HS6ST3 and ZZZ3) for clinical classes of obesity. Further, we find a large overlap in genetic structure and the distribution of variants between traits based on extremes and the general population and little etiological heterogeneity between obesity subgroups.

}, keywords = {Anthropometry, Body Height, Body Mass Index, Case-Control Studies, European Continental Ancestry Group, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Meta-Analysis as Topic, Obesity, Phenotype, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Waist-Hip Ratio}, issn = {1546-1718}, doi = {10.1038/ng.2606}, author = {Berndt, Sonja I and Gustafsson, Stefan and M{\"a}gi, Reedik and Ganna, Andrea and Wheeler, Eleanor and Feitosa, Mary F and Justice, Anne E and Monda, Keri L and Croteau-Chonka, Damien C and Day, Felix R and Esko, T{\~o}nu and Fall, Tove and Ferreira, Teresa and Gentilini, Davide and Jackson, Anne U and Luan, Jian{\textquoteright}an and Randall, Joshua C and Vedantam, Sailaja and Willer, Cristen J and Winkler, Thomas W and Wood, Andrew R and Workalemahu, Tsegaselassie and Hu, Yi-Juan and Lee, Sang Hong and Liang, Liming and Lin, Dan-Yu and Min, Josine L and Neale, Benjamin M and Thorleifsson, Gudmar and Yang, Jian and Albrecht, Eva and Amin, Najaf and Bragg-Gresham, Jennifer L and Cadby, Gemma and den Heijer, Martin and Eklund, Niina and Fischer, Krista and Goel, Anuj and Hottenga, Jouke-Jan and Huffman, Jennifer E and Jarick, Ivonne and Johansson, Asa and Johnson, Toby and Kanoni, Stavroula and Kleber, Marcus E and K{\"o}nig, Inke R and Kristiansson, Kati and Kutalik, Zolt{\'a}n and Lamina, Claudia and Lecoeur, C{\'e}cile and Li, Guo and Mangino, Massimo and McArdle, Wendy L and Medina-G{\'o}mez, Carolina and M{\"u}ller-Nurasyid, Martina and Ngwa, Julius S and Nolte, Ilja M and Paternoster, Lavinia and Pechlivanis, Sonali and Perola, Markus and Peters, Marjolein J and Preuss, Michael and Rose, Lynda M and Shi, Jianxin and Shungin, Dmitry and Smith, Albert Vernon and Strawbridge, Rona J and Surakka, Ida and Teumer, Alexander and Trip, Mieke D and Tyrer, Jonathan and van Vliet-Ostaptchouk, Jana V and Vandenput, Liesbeth and Waite, Lindsay L and Zhao, Jing Hua and Absher, Devin and Asselbergs, Folkert W and Atalay, Mustafa and Attwood, Antony P and Balmforth, Anthony J and Basart, Hanneke and Beilby, John and Bonnycastle, Lori L and Brambilla, Paolo and Bruinenberg, Marcel and Campbell, Harry and Chasman, Daniel I and Chines, Peter S and Collins, Francis S and Connell, John M and Cookson, William O and de Faire, Ulf and de Vegt, Femmie and Dei, Mariano and Dimitriou, Maria and Edkins, Sarah and Estrada, Karol and Evans, David M and Farrall, Martin and Ferrario, Marco M and Ferrieres, Jean and Franke, Lude and Frau, Francesca and Gejman, Pablo V and Grallert, Harald and Gr{\"o}nberg, Henrik and Gudnason, Vilmundur and Hall, Alistair S and Hall, Per and Hartikainen, Anna-Liisa and Hayward, Caroline and Heard-Costa, Nancy L and Heath, Andrew C and Hebebrand, Johannes and Homuth, Georg and Hu, Frank B and Hunt, Sarah E and Hypp{\"o}nen, Elina and Iribarren, Carlos and Jacobs, Kevin B and Jansson, John-Olov and Jula, Antti and K{\"a}h{\"o}nen, Mika and Kathiresan, Sekar and Kee, Frank and Khaw, Kay-Tee and Kivimaki, Mika and Koenig, Wolfgang and Kraja, Aldi T and Kumari, Meena and Kuulasmaa, Kari and Kuusisto, Johanna and Laitinen, Jaana H and Lakka, Timo A and Langenberg, Claudia and Launer, Lenore J and Lind, Lars and Lindstr{\"o}m, Jaana and Liu, Jianjun and Liuzzi, Antonio and Lokki, Marja-Liisa and Lorentzon, Mattias and Madden, Pamela A and Magnusson, Patrik K and Manunta, Paolo and Marek, Diana and M{\"a}rz, Winfried and Mateo Leach, Irene and McKnight, Barbara and Medland, Sarah E and Mihailov, Evelin and Milani, Lili and Montgomery, Grant W and Mooser, Vincent and M{\"u}hleisen, Thomas W and Munroe, Patricia B and Musk, Arthur W and Narisu, Narisu and Navis, Gerjan and Nicholson, George and Nohr, Ellen A and Ong, Ken K and Oostra, Ben A and Palmer, Colin N A and Palotie, Aarno and Peden, John F and Pedersen, Nancy and Peters, Annette and Polasek, Ozren and Pouta, Anneli and Pramstaller, Peter P and Prokopenko, Inga and P{\"u}tter, Carolin and Radhakrishnan, Aparna and Raitakari, Olli and Rendon, Augusto and Rivadeneira, Fernando and Rudan, Igor and Saaristo, Timo E and Sambrook, Jennifer G and Sanders, Alan R and Sanna, Serena and Saramies, Jouko and Schipf, Sabine and Schreiber, Stefan and Schunkert, Heribert and Shin, So-Youn and Signorini, Stefano and Sinisalo, Juha and Skrobek, Boris and Soranzo, Nicole and Stan{\v c}{\'a}kov{\'a}, Alena and Stark, Klaus and Stephens, Jonathan C and Stirrups, Kathleen and Stolk, Ronald P and Stumvoll, Michael and Swift, Amy J and Theodoraki, Eirini V and Thorand, Barbara and Tr{\'e}gou{\"e}t, David-Alexandre and Tremoli, Elena and van der Klauw, Melanie M and van Meurs, Joyce B J and Vermeulen, Sita H and Viikari, Jorma and Virtamo, Jarmo and Vitart, Veronique and Waeber, G{\'e}rard and Wang, Zhaoming and Widen, Elisabeth and Wild, Sarah H and Willemsen, Gonneke and Winkelmann, Bernhard R and Witteman, Jacqueline C M and Wolffenbuttel, Bruce H R and Wong, Andrew and Wright, Alan F and Zillikens, M Carola and Amouyel, Philippe and Boehm, Bernhard O and Boerwinkle, Eric and Boomsma, Dorret I and Caulfield, Mark J and Chanock, Stephen J and Cupples, L Adrienne and Cusi, Daniele and Dedoussis, George V and Erdmann, Jeanette and Eriksson, Johan G and Franks, Paul W and Froguel, Philippe and Gieger, Christian and Gyllensten, Ulf and Hamsten, Anders and Harris, Tamara B and Hengstenberg, Christian and Hicks, Andrew A and Hingorani, Aroon and Hinney, Anke and Hofman, Albert and Hovingh, Kees G and Hveem, Kristian and Illig, Thomas and Jarvelin, Marjo-Riitta and J{\"o}ckel, Karl-Heinz and Keinanen-Kiukaanniemi, Sirkka M and Kiemeney, Lambertus A and Kuh, Diana and Laakso, Markku and Lehtim{\"a}ki, Terho and Levinson, Douglas F and Martin, Nicholas G and Metspalu, Andres and Morris, Andrew D and Nieminen, Markku S and Nj{\o}lstad, Inger and Ohlsson, Claes and Oldehinkel, Albertine J and Ouwehand, Willem H and Palmer, Lyle J and Penninx, Brenda and Power, Chris and Province, Michael A and Psaty, Bruce M and Qi, Lu and Rauramaa, Rainer and Ridker, Paul M and Ripatti, Samuli and Salomaa, Veikko and Samani, Nilesh J and Snieder, Harold and S{\o}rensen, Thorkild I A and Spector, Timothy D and Stefansson, Kari and T{\"o}njes, Anke and Tuomilehto, Jaakko and Uitterlinden, Andr{\'e} G and Uusitupa, Matti and van der Harst, Pim and Vollenweider, Peter and Wallaschofski, Henri and Wareham, Nicholas J and Watkins, Hugh and Wichmann, H-Erich and Wilson, James F and Abecasis, Goncalo R and Assimes, Themistocles L and Barroso, In{\^e}s and Boehnke, Michael and Borecki, Ingrid B and Deloukas, Panos and Fox, Caroline S and Frayling, Timothy and Groop, Leif C and Haritunian, Talin and Heid, Iris M and Hunter, David and Kaplan, Robert C and Karpe, Fredrik and Moffatt, Miriam F and Mohlke, Karen L and O{\textquoteright}Connell, Jeffrey R and Pawitan, Yudi and Schadt, Eric E and Schlessinger, David and Steinthorsdottir, Valgerdur and Strachan, David P and Thorsteinsdottir, Unnur and van Duijn, Cornelia M and Visscher, Peter M and Di Blasio, Anna Maria and Hirschhorn, Joel N and Lindgren, Cecilia M and Morris, Andrew P and Meyre, David and Scherag, Andre and McCarthy, Mark I and Speliotes, Elizabeth K and North, Kari E and Loos, Ruth J F and Ingelsson, Erik} } @article {6163, title = {Genome-wide meta-analysis of observational studies shows common genetic variants associated with macronutrient intake.}, journal = {Am J Clin Nutr}, volume = {97}, year = {2013}, month = {2013 Jun}, pages = {1395-402}, abstract = {

BACKGROUND: Macronutrient intake varies substantially between individuals, and there is evidence that this variation is partly accounted for by genetic variants.

OBJECTIVE: The objective of the study was to identify common genetic variants that are associated with macronutrient intake.

DESIGN: We performed 2-stage genome-wide association (GWA) meta-analysis of macronutrient intake in populations of European descent. Macronutrients were assessed by using food-frequency questionnaires and analyzed as percentages of total energy consumption from total fat, protein, and carbohydrate. From the discovery GWA (n = 38,360), 35 independent loci associated with macronutrient intake at P < 5 {\texttimes} 10(-6) were identified and taken forward to replication in 3 additional cohorts (n = 33,533) from the DietGen Consortium. For one locus, fat mass obesity-associated protein (FTO), cohorts with Illumina MetaboChip genotype data (n = 7724) provided additional replication data.

RESULTS: A variant in the chromosome 19 locus (rs838145) was associated with higher carbohydrate (β {\textpm} SE: 0.25 {\textpm} 0.04\%; P = 1.68 {\texttimes} 10(-8)) and lower fat (β {\textpm} SE: -0.21 {\textpm} 0.04\%; P = 1.57 {\texttimes} 10(-9)) consumption. A candidate gene in this region, fibroblast growth factor 21 (FGF21), encodes a fibroblast growth factor involved in glucose and lipid metabolism. The variants in this locus were associated with circulating FGF21 protein concentrations (P < 0.05) but not mRNA concentrations in blood or brain. The body mass index (BMI)-increasing allele of the FTO variant (rs1421085) was associated with higher protein intake (β {\textpm} SE: 0.10 {\textpm} 0.02\%; P = 9.96 {\texttimes} 10(-10)), independent of BMI (after adjustment for BMI, β {\textpm} SE: 0.08 {\textpm} 0.02\%; P = 3.15 {\texttimes} 10(-7)).

CONCLUSION: Our results indicate that variants in genes involved in nutrient metabolism and obesity are associated with macronutrient consumption in humans. Trials related to this study were registered at clinicaltrials.gov as NCT00005131 (Atherosclerosis Risk in Communities), NCT00005133 (Cardiovascular Health Study), NCT00005136 (Family Heart Study), NCT00005121 (Framingham Heart Study), NCT00083369 (Genetic and Environmental Determinants of Triglycerides), NCT01331512 (InCHIANTI Study), and NCT00005487 (Multi-Ethnic Study of Atherosclerosis).

}, keywords = {Alleles, Atherosclerosis, Body Mass Index, Dietary Carbohydrates, Dietary Fats, Dietary Proteins, Energy Intake, European Continental Ancestry Group, Fibroblast Growth Factors, Follow-Up Studies, Gene-Environment Interaction, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Life Style, Obesity, Polymorphism, Single Nucleotide, Prospective Studies, Quantitative Trait Loci, Surveys and Questionnaires}, issn = {1938-3207}, doi = {10.3945/ajcn.112.052183}, author = {Tanaka, Toshiko and Ngwa, Julius S and van Rooij, Frank J A and Zillikens, M Carola and Wojczynski, Mary K and Frazier-Wood, Alexis C and Houston, Denise K and Kanoni, Stavroula and Lemaitre, Rozenn N and Luan, Jian{\textquoteright}an and Mikkil{\"a}, Vera and Renstrom, Frida and Sonestedt, Emily and Zhao, Jing Hua and Chu, Audrey Y and Qi, Lu and Chasman, Daniel I and de Oliveira Otto, Marcia C and Dhurandhar, Emily J and Feitosa, Mary F and Johansson, Ingegerd and Khaw, Kay-Tee and Lohman, Kurt K and Manichaikul, Ani and McKeown, Nicola M and Mozaffarian, Dariush and Singleton, Andrew and Stirrups, Kathleen and Viikari, Jorma and Ye, Zheng and Bandinelli, Stefania and Barroso, In{\^e}s and Deloukas, Panos and Forouhi, Nita G and Hofman, Albert and Liu, Yongmei and Lyytik{\"a}inen, Leo-Pekka and North, Kari E and Dimitriou, Maria and Hallmans, G{\"o}ran and K{\"a}h{\"o}nen, Mika and Langenberg, Claudia and Ordovas, Jose M and Uitterlinden, Andr{\'e} G and Hu, Frank B and Kalafati, Ioanna-Panagiota and Raitakari, Olli and Franco, Oscar H and Johnson, Andrew and Emilsson, Valur and Schrack, Jennifer A and Semba, Richard D and Siscovick, David S and Arnett, Donna K and Borecki, Ingrid B and Franks, Paul W and Kritchevsky, Stephen B and Lehtim{\"a}ki, Terho and Loos, Ruth J F and Orho-Melander, Marju and Rotter, Jerome I and Wareham, Nicholas J and Witteman, Jacqueline C M and Ferrucci, Luigi and Dedoussis, George and Cupples, L Adrienne and Nettleton, Jennifer A} } @article {6068, title = {Genome-wide study identifies two loci associated with lung function decline in mild to moderate COPD.}, journal = {Hum Genet}, volume = {132}, year = {2013}, month = {2013 Jan}, pages = {79-90}, abstract = {

Accelerated lung function decline is a key COPD phenotype; however, its genetic control remains largely unknown. We performed a genome-wide association study using the Illumina Human660W-Quad v.1_A BeadChip. Generalized estimation equations were used to assess genetic contributions to lung function decline over a 5-year period in 4,048 European American Lung Health Study participants with largely mild COPD. Genotype imputation was performed using reference HapMap II data. To validate regions meeting genome-wide significance, replication of top SNPs was attempted in independent cohorts. Three genes (TMEM26, ANK3 and FOXA1) within the regions of interest were selected for tissue expression studies using immunohistochemistry. Two intergenic SNPs (rs10761570, rs7911302) on chromosome 10 and one SNP on chromosome 14 (rs177852) met genome-wide significance after Bonferroni. Further support for the chromosome 10 region was obtained by imputation, the most significantly associated imputed SNPs (rs10761571, rs7896712) being flanked by observed markers rs10761570 and rs7911302. Results were not replicated in four general population cohorts or a smaller cohort of subjects with moderate to severe COPD; however, we show novel expression of genes near regions of significantly associated SNPS, including TMEM26 and FOXA1 in airway epithelium and lung parenchyma, and ANK3 in alveolar macrophages. Levels of expression were associated with lung function and COPD status. We identified two novel regions associated with lung function decline in mild COPD. Genes within these regions were expressed in relevant lung cells and their expression related to airflow limitation suggesting they may represent novel candidate genes for COPD susceptibility.

}, keywords = {Adult, Ankyrins, Chromosomes, Human, Pair 10, Chromosomes, Human, Pair 14, Cohort Studies, Female, Genome-Wide Association Study, Hepatocyte Nuclear Factor 3-alpha, Humans, Linkage Disequilibrium, Lung, Male, Membrane Proteins, Middle Aged, Polymorphism, Single Nucleotide, Pulmonary Disease, Chronic Obstructive}, issn = {1432-1203}, doi = {10.1007/s00439-012-1219-6}, author = {Hansel, Nadia N and Ruczinski, Ingo and Rafaels, Nicholas and Sin, Don D and Daley, Denise and Malinina, Alla and Huang, Lili and Sandford, Andrew and Murray, Tanda and Kim, Yoonhee and Vergara, Candelaria and Heckbert, Susan R and Psaty, Bruce M and Li, Guo and Elliott, W Mark and Aminuddin, Farzian and Dupuis, Jos{\'e}e and O{\textquoteright}Connor, George T and Doheny, Kimberly and Scott, Alan F and Boezen, H Marike and Postma, Dirkje S and Smolonska, Joanna and Zanen, Pieter and Mohamed Hoesein, Firdaus A and de Koning, Harry J and Crystal, Ronald G and Tanaka, Toshiko and Ferrucci, Luigi and Silverman, Edwin and Wan, Emily and Vestbo, Jorgen and Lomas, David A and Connett, John and Wise, Robert A and Neptune, Enid R and Mathias, Rasika A and Par{\'e}, Peter D and Beaty, Terri H and Barnes, Kathleen C} } @article {6246, title = {Gender and telomere length: systematic review and meta-analysis.}, journal = {Exp Gerontol}, volume = {51}, year = {2014}, month = {2014 Mar}, pages = {15-27}, abstract = {

BACKGROUND: It is widely believed that females have longer telomeres than males, although results from studies have been contradictory.

METHODS: We carried out a systematic review and meta-analyses to test the hypothesis that in humans, females have longer telomeres than males and that this association becomes stronger with increasing age. Searches were conducted in EMBASE and MEDLINE (by November 2009) and additional datasets were obtained from study investigators. Eligible observational studies measured telomeres for both females and males of any age, had a minimum sample size of 100 and included participants not part of a diseased group. We calculated summary estimates using random-effects meta-analyses. Heterogeneity between studies was investigated using sub-group analysis and meta-regression.

RESULTS: Meta-analyses from 36 cohorts (36,230 participants) showed that on average females had longer telomeres than males (standardised difference in telomere length between females and males 0.090, 95\% CI 0.015, 0.166; age-adjusted). There was little evidence that these associations varied by age group (p=1.00) or cell type (p=0.29). However, the size of this difference did vary by measurement methods, with only Southern blot but neither real-time PCR nor Flow-FISH showing a significant difference. This difference was not associated with random measurement error.

CONCLUSIONS: Telomere length is longer in females than males, although this difference was not universally found in studies that did not use Southern blot methods. Further research on explanations for the methodological differences is required.

}, keywords = {Adult, Aged, Aged, 80 and over, Aging, Female, Humans, Male, Middle Aged, Sex Factors, Telomere}, issn = {1873-6815}, doi = {10.1016/j.exger.2013.12.004}, author = {Gardner, Michael and Bann, David and Wiley, Laura and Cooper, Rachel and Hardy, Rebecca and Nitsch, Dorothea and Martin-Ruiz, Carmen and Shiels, Paul and Sayer, Avan Aihie and Barbieri, Michelangela and Bekaert, Sofie and Bischoff, Claus and Brooks-Wilson, Angela and Chen, Wei and Cooper, Cyrus and Christensen, Kaare and De Meyer, Tim and Deary, Ian and Der, Geoff and Diez Roux, Ana and Fitzpatrick, Annette and Hajat, Anjum and Halaschek-Wiener, Julius and Harris, Sarah and Hunt, Steven C and Jagger, Carol and Jeon, Hyo-Sung and Kaplan, Robert and Kimura, Masayuki and Lansdorp, Peter and Li, Changyong and Maeda, Toyoki and Mangino, Massimo and Nawrot, Tim S and Nilsson, Peter and Nordfjall, Katarina and Paolisso, Giuseppe and Ren, Fu and Riabowol, Karl and Robertson, Tony and Roos, Goran and Staessen, Jan A and Spector, Tim and Tang, Nelson and Unryn, Brad and van der Harst, Pim and Woo, Jean and Xing, Chao and Yadegarfar, Mohammad E and Park, Jae Yong and Young, Neal and Kuh, Diana and von Zglinicki, Thomas and Ben-Shlomo, Yoav} } @article {6603, title = {Gene expression in thiazide diuretic or statin users in relation to incident type 2 diabetes.}, journal = {Int J Mol Epidemiol Genet}, volume = {5}, year = {2014}, month = {2014}, pages = {22-30}, abstract = {Thiazide diuretics and statins are used to improve cardiovascular outcomes, but may also cause type 2 diabetes (T2DM), although mechanisms are unknown. Gene expression studies may facilitate understanding of these associations. Participants from ongoing population-based studies were sampled for these longitudinal studies of peripheral blood microarray gene expression, and followed to incident diabetes. All sampled subjects were statin or thiazide users. Those who developed diabetes during follow-up comprised cases (44 thiazide users; 19 statin users), and were matched to drug-using controls who did not develop diabetes on several factors. Supervised normalization, surrogate variable analyses removed technical bias and confounding. Differentially-expressed genes were those with a false discovery rate Q-value<0.05. Among thiazide users, diabetes cases had significantly different expression of CCL14 (down-regulated 6\%, Q-value=0.0257), compared with controls. Among statin users, diabetes cases had marginal but insignificantly different expression of ZNF532 (up-regulated 15\%, Q-value=0.0584), CXORF21 (up-regulated 11\%, Q-value=0.0584), and ZNHIT3 (up-regulated 19\%, Q-value=0.0959), compared with controls. These genes comprise potential targets for future expression or mechanistic research on medication-related diabetes development.}, issn = {1948-1756}, author = {Suchy-Dicey, Astrid and Heckbert, Susan R and Smith, Nicholas L and McKnight, Barbara and Rotter, Jerome I and Chen, Yd Ida and Psaty, Bruce M and Enquobahrie, Daniel A} } @article {6599, title = {Gene-age interactions in blood pressure regulation: a large-scale investigation with the CHARGE, Global BPgen, and ICBP Consortia.}, journal = {Am J Hum Genet}, volume = {95}, year = {2014}, month = {2014 Jul 03}, pages = {24-38}, abstract = {

Although age-dependent effects on blood pressure (BP) have been reported, they have not been systematically investigated in large-scale genome-wide association studies (GWASs). We leveraged the infrastructure of three well-established consortia (CHARGE, GBPgen, and ICBP) and a nonstandard approach (age stratification and metaregression) to conduct a genome-wide search of common variants with age-dependent effects on systolic (SBP), diastolic (DBP), mean arterial (MAP), and pulse (PP) pressure. In a two-staged design using 99,241 individuals of European ancestry, we identified 20 genome-wide significant (p <= 5 {\texttimes} 10(-8)) loci by using joint tests of the SNP main effect and SNP-age interaction. Nine of the significant loci demonstrated nominal evidence of age-dependent effects on BP by tests of the interactions alone. Index SNPs in the EHBP1L1 (DBP and MAP), CASZ1 (SBP and MAP), and GOSR2 (PP) loci exhibited the largest age interactions, with opposite directions of effect in the young versus the old. The changes in the genetic effects over time were small but nonnegligible (up to 1.58 mm Hg over 60 years). The EHBP1L1 locus was discovered through gene-age interactions only in whites but had DBP main effects replicated (p = 8.3 {\texttimes} 10(-4)) in 8,682 Asians from Singapore, indicating potential interethnic heterogeneity. A secondary analysis revealed 22 loci with evidence of age-specific effects (e.g., only in 20 to 29-year-olds). Age can be used to select samples with larger genetic effect sizes and more homogenous phenotypes, which may increase statistical power. Age-dependent effects identified through novel statistical approaches can provide insight into the biology and temporal regulation underlying BP associations.

}, keywords = {Adolescent, Adult, Age Factors, Aged, Blood Pressure, Cohort Studies, Humans, Middle Aged, Young Adult}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2014.05.010}, author = {Simino, Jeannette and Shi, Gang and Bis, Joshua C and Chasman, Daniel I and Ehret, Georg B and Gu, Xiangjun and Guo, Xiuqing and Hwang, Shih-Jen and Sijbrands, Eric and Smith, Albert V and Verwoert, Germaine C and Bragg-Gresham, Jennifer L and Cadby, Gemma and Chen, Peng and Cheng, Ching-Yu and Corre, Tanguy and de Boer, Rudolf A and Goel, Anuj and Johnson, Toby and Khor, Chiea-Chuen and Llu{\'\i}s-Ganella, Carla and Luan, Jian{\textquoteright}an and Lyytik{\"a}inen, Leo-Pekka and Nolte, Ilja M and Sim, Xueling and S{\~o}ber, Siim and van der Most, Peter J and Verweij, Niek and Zhao, Jing Hua and Amin, Najaf and Boerwinkle, Eric and Bouchard, Claude and Dehghan, Abbas and Eiriksdottir, Gudny and Elosua, Roberto and Franco, Oscar H and Gieger, Christian and Harris, Tamara B and Hercberg, Serge and Hofman, Albert and James, Alan L and Johnson, Andrew D and K{\"a}h{\"o}nen, Mika and Khaw, Kay-Tee and Kutalik, Zolt{\'a}n and Larson, Martin G and Launer, Lenore J and Li, Guo and Liu, Jianjun and Liu, Kiang and Morrison, Alanna C and Navis, Gerjan and Ong, Rick Twee-Hee and Papanicolau, George J and Penninx, Brenda W and Psaty, Bruce M and Raffel, Leslie J and Raitakari, Olli T and Rice, Kenneth and Rivadeneira, Fernando and Rose, Lynda M and Sanna, Serena and Scott, Robert A and Siscovick, David S and Stolk, Ronald P and Uitterlinden, Andr{\'e} G and Vaidya, Dhananjay and van der Klauw, Melanie M and Vasan, Ramachandran S and Vithana, Eranga Nishanthie and V{\"o}lker, Uwe and V{\"o}lzke, Henry and Watkins, Hugh and Young, Terri L and Aung, Tin and Bochud, Murielle and Farrall, Martin and Hartman, Catharina A and Laan, Maris and Lakatta, Edward G and Lehtim{\"a}ki, Terho and Loos, Ruth J F and Lucas, Gavin and Meneton, Pierre and Palmer, Lyle J and Rettig, Rainer and Snieder, Harold and Tai, E Shyong and Teo, Yik-Ying and van der Harst, Pim and Wareham, Nicholas J and Wijmenga, Cisca and Wong, Tien Yin and Fornage, Myriam and Gudnason, Vilmundur and Levy, Daniel and Palmas, Walter and Ridker, Paul M and Rotter, Jerome I and van Duijn, Cornelia M and Witteman, Jacqueline C M and Chakravarti, Aravinda and Rao, Dabeeru C} } @article {6368, title = {Gene-centric meta-analyses for central adiposity traits in up to 57 412 individuals of European descent confirm known loci and reveal several novel associations.}, journal = {Hum Mol Genet}, volume = {23}, year = {2014}, month = {2014 May 01}, pages = {2498-510}, abstract = {

Waist circumference (WC) and waist-to-hip ratio (WHR) are surrogate measures of central adiposity that are associated with adverse cardiovascular events, type 2 diabetes and cancer independent of body mass index (BMI). WC and WHR are highly heritable with multiple susceptibility loci identified to date. We assessed the association between SNPs and BMI-adjusted WC and WHR and unadjusted WC in up to 57 412 individuals of European descent from 22 cohorts collaborating with the NHLBI{\textquoteright}s Candidate Gene Association Resource (CARe) project. The study population consisted of women and men aged 20-80 years. Study participants were genotyped using the ITMAT/Broad/CARE array, which includes \~{}50 000 cosmopolitan tagged SNPs across \~{}2100 cardiovascular-related genes. Each trait was modeled as a function of age, study site and principal components to control for population stratification, and we conducted a fixed-effects meta-analysis. No new loci for WC were observed. For WHR analyses, three novel loci were significantly associated (P < 2.4 {\texttimes} 10(-6)). Previously unreported rs2811337-G near TMCC1 was associated with increased WHR (β {\textpm} SE, 0.048 {\textpm} 0.008, P = 7.7 {\texttimes} 10(-9)) as was rs7302703-G in HOXC10 (β = 0.044 {\textpm} 0.008, P = 2.9 {\texttimes} 10(-7)) and rs936108-C in PEMT (β = 0.035 {\textpm} 0.007, P = 1.9 {\texttimes} 10(-6)). Sex-stratified analyses revealed two additional novel signals among females only, rs12076073-A in SHC1 (β = 0.10 {\textpm} 0.02, P = 1.9 {\texttimes} 10(-6)) and rs1037575-A in ATBDB4 (β = 0.046 {\textpm} 0.01, P = 2.2 {\texttimes} 10(-6)), supporting an already established sexual dimorphism of central adiposity-related genetic variants. Functional analysis using ENCODE and eQTL databases revealed that several of these loci are in regulatory regions or regions with differential expression in adipose tissue.

}, keywords = {Adiposity, Adult, Aged, Aged, 80 and over, Body Mass Index, European Continental Ancestry Group, Female, Genome-Wide Association Study, Humans, Male, Middle Aged, Waist Circumference, Waist-Hip Ratio, Young Adult}, issn = {1460-2083}, doi = {10.1093/hmg/ddt626}, author = {Yoneyama, Sachiko and Guo, Yiran and Lanktree, Matthew B and Barnes, Michael R and Elbers, Clara C and Karczewski, Konrad J and Padmanabhan, Sandosh and Bauer, Florianne and Baumert, Jens and Beitelshees, Amber and Berenson, Gerald S and Boer, Jolanda M A and Burke, Gregory and Cade, Brian and Chen, Wei and Cooper-Dehoff, Rhonda M and Gaunt, Tom R and Gieger, Christian and Gong, Yan and Gorski, Mathias and Heard-Costa, Nancy and Johnson, Toby and Lamonte, Michael J and McDonough, Caitrin and Monda, Keri L and Onland-Moret, N Charlotte and Nelson, Christopher P and O{\textquoteright}Connell, Jeffrey R and Ordovas, Jose and Peter, Inga and Peters, Annette and Shaffer, Jonathan and Shen, Haiqinq and Smith, Erin and Speilotes, Liz and Thomas, Fridtjof and Thorand, Barbara and Monique Verschuren, W M and Anand, Sonia S and Dominiczak, Anna and Davidson, Karina W and Hegele, Robert A and Heid, Iris and Hofker, Marten H and Huggins, Gordon S and Illig, Thomas and Johnson, Julie A and Kirkland, Susan and K{\"o}nig, Wolfgang and Langaee, Taimour Y and McCaffery, Jeanne and Melander, Olle and Mitchell, Braxton D and Munroe, Patricia and Murray, Sarah S and Papanicolaou, George and Redline, Susan and Reilly, Muredach and Samani, Nilesh J and Schork, Nicholas J and van der Schouw, Yvonne T and Shimbo, Daichi and Shuldiner, Alan R and Tobin, Martin D and Wijmenga, Cisca and Yusuf, Salim and Hakonarson, Hakon and Lange, Leslie A and Demerath, Ellen W and Fox, Caroline S and North, Kari E and Reiner, Alex P and Keating, Brendan and Taylor, Kira C} } @article {6611, title = {A genetic association study of D-dimer levels with 50K SNPs from a candidate gene chip in four ethnic groups.}, journal = {Thromb Res}, volume = {134}, year = {2014}, month = {2014 Aug}, pages = {462-7}, abstract = {

INTRODUCTION: D-dimer, a fibrin degradation product, is related to risk of cardiovascular disease and venous thromboembolism. Genetic determinants of D-dimer are not well characterized; notably, few data have been reported for African American (AA), Asian, and Hispanic populations.

MATERIALS AND METHODS: We conducted a large-scale candidate gene association study to identify variants in genes associated with D-dimer levels in multi-ethnic populations. Four cohorts, comprising 6,848 European Americans (EAs), 2,192 AAs, 670 Asians, and 1,286 Hispanics in the National Heart, Lung, and Blood Institute Candidate Gene Association Resource consortium, were assembled. Approximately 50,000 genotyped single nucleotide polymorphisms (SNPs) in 2,000 cardiovascular disease gene loci were analyzed by linear regression, adjusting for age, sex, study site, and principal components in each cohort and ethnic group. Results across studies were combined within each ethnic group by meta-analysis.

RESULTS: Twelve SNPs in coagulation factor V (F5) and 3 SNPs in the fibrinogen alpha chain (FGA) were significantly associated with D-dimer level in EAs with p<2.0{\texttimes}10(-6). The signal for the most associated SNP in F5 (rs6025, factor V Leiden) was replicated in Hispanics (p=0.023), while that for the top functional SNP in FGA (rs6050) was replicated in AAs (p=0.006). No additional SNPs were significantly associated with D-dimer.

CONCLUSIONS: Our study replicated previously reported associations of D-dimer with SNPs in F5 and FGA in EAs; we demonstrated replication of the association of D-dimer with FGA rs6050 in AAs and the factor V Leiden variant in Hispanics.

}, keywords = {Adult, Aged, Cardiovascular Diseases, Ethnic Groups, Factor V, Female, Fibrin Fibrinogen Degradation Products, Fibrinogen, Genetic Association Studies, Genotype, Humans, Male, Middle Aged, Oligonucleotide Array Sequence Analysis, Polymorphism, Single Nucleotide, Young Adult}, issn = {1879-2472}, doi = {10.1016/j.thromres.2014.05.018}, author = {Weng, Lu-Chen and Tang, Weihong and Rich, Stephen S and Smith, Nicholas L and Redline, Susan and O{\textquoteright}Donnell, Christopher J and Basu, Saonli and Reiner, Alexander P and Delaney, Joseph A and Tracy, Russell P and Palmer, Cameron D and Young, Taylor and Yang, Qiong and Folsom, Aaron R and Cushman, Mary} } @article {6544, title = {Genetic association study of QT interval highlights role for calcium signaling pathways in myocardial repolarization.}, journal = {Nat Genet}, volume = {46}, year = {2014}, month = {2014 Aug}, pages = {826-36}, abstract = {

The QT interval, an electrocardiographic measure reflecting myocardial repolarization, is a heritable trait. QT prolongation is a risk factor for ventricular arrhythmias and sudden cardiac death (SCD) and could indicate the presence of the potentially lethal mendelian long-QT syndrome (LQTS). Using a genome-wide association and replication study in up to 100,000 individuals, we identified 35 common variant loci associated with QT interval that collectively explain \~{}8-10\% of QT-interval variation and highlight the importance of calcium regulation in myocardial repolarization. Rare variant analysis of 6 new QT interval-associated loci in 298 unrelated probands with LQTS identified coding variants not found in controls but of uncertain causality and therefore requiring validation. Several newly identified loci encode proteins that physically interact with other recognized repolarization proteins. Our integration of common variant association, expression and orthogonal protein-protein interaction screens provides new insights into cardiac electrophysiology and identifies new candidate genes for ventricular arrhythmias, LQTS and SCD.

}, keywords = {Adult, Aged, Arrhythmias, Cardiac, Calcium Signaling, Death, Sudden, Cardiac, Electrocardiography, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Heart Ventricles, Humans, Long QT Syndrome, Male, Middle Aged, Myocardium, Polymorphism, Single Nucleotide}, issn = {1546-1718}, doi = {10.1038/ng.3014}, author = {Arking, Dan E and Pulit, Sara L and Crotti, Lia and van der Harst, Pim and Munroe, Patricia B and Koopmann, Tamara T and Sotoodehnia, Nona and Rossin, Elizabeth J and Morley, Michael and Wang, Xinchen and Johnson, Andrew D and Lundby, Alicia and Gudbjartsson, Daniel F and Noseworthy, Peter A and Eijgelsheim, Mark and Bradford, Yuki and Tarasov, Kirill V and D{\"o}rr, Marcus and M{\"u}ller-Nurasyid, Martina and Lahtinen, Annukka M and Nolte, Ilja M and Smith, Albert Vernon and Bis, Joshua C and Isaacs, Aaron and Newhouse, Stephen J and Evans, Daniel S and Post, Wendy S and Waggott, Daryl and Lyytik{\"a}inen, Leo-Pekka and Hicks, Andrew A and Eisele, Lewin and Ellinghaus, David and Hayward, Caroline and Navarro, Pau and Ulivi, Sheila and Tanaka, Toshiko and Tester, David J and Chatel, St{\'e}phanie and Gustafsson, Stefan and Kumari, Meena and Morris, Richard W and Naluai, {\r A}sa T and Padmanabhan, Sandosh and Kluttig, Alexander and Strohmer, Bernhard and Panayiotou, Andrie G and Torres, Maria and Knoflach, Michael and Hubacek, Jaroslav A and Slowikowski, Kamil and Raychaudhuri, Soumya and Kumar, Runjun D and Harris, Tamara B and Launer, Lenore J and Shuldiner, Alan R and Alonso, Alvaro and Bader, Joel S and Ehret, Georg and Huang, Hailiang and Kao, W H Linda and Strait, James B and Macfarlane, Peter W and Brown, Morris and Caulfield, Mark J and Samani, Nilesh J and Kronenberg, Florian and Willeit, Johann and Smith, J Gustav and Greiser, Karin H and Meyer Zu Schwabedissen, Henriette and Werdan, Karl and Carella, Massimo and Zelante, Leopoldo and Heckbert, Susan R and Psaty, Bruce M and Rotter, Jerome I and Kolcic, Ivana and Polasek, Ozren and Wright, Alan F and Griffin, Maura and Daly, Mark J and Arnar, David O and Holm, Hilma and Thorsteinsdottir, Unnur and Denny, Joshua C and Roden, Dan M and Zuvich, Rebecca L and Emilsson, Valur and Plump, Andrew S and Larson, Martin G and O{\textquoteright}Donnell, Christopher J and Yin, Xiaoyan and Bobbo, Marco and D{\textquoteright}Adamo, Adamo P and Iorio, Annamaria and Sinagra, Gianfranco and Carracedo, Angel and Cummings, Steven R and Nalls, Michael A and Jula, Antti and Kontula, Kimmo K and Marjamaa, Annukka and Oikarinen, Lasse and Perola, Markus and Porthan, Kimmo and Erbel, Raimund and Hoffmann, Per and J{\"o}ckel, Karl-Heinz and K{\"a}lsch, Hagen and N{\"o}then, Markus M and den Hoed, Marcel and Loos, Ruth J F and Thelle, Dag S and Gieger, Christian and Meitinger, Thomas and Perz, Siegfried and Peters, Annette and Prucha, Hanna and Sinner, Moritz F and Waldenberger, Melanie and de Boer, Rudolf A and Franke, Lude and van der Vleuten, Pieter A and Beckmann, Britt Maria and Martens, Eimo and Bardai, Abdennasser and Hofman, Nynke and Wilde, Arthur A M and Behr, Elijah R and Dalageorgou, Chrysoula and Giudicessi, John R and Medeiros-Domingo, Argelia and Barc, Julien and Kyndt, Florence and Probst, Vincent and Ghidoni, Alice and Insolia, Roberto and Hamilton, Robert M and Scherer, Stephen W and Brandimarto, Jeffrey and Margulies, Kenneth and Moravec, Christine E and del Greco M, Fabiola and Fuchsberger, Christian and O{\textquoteright}Connell, Jeffrey R and Lee, Wai K and Watt, Graham C M and Campbell, Harry and Wild, Sarah H and El Mokhtari, Nour E and Frey, Norbert and Asselbergs, Folkert W and Mateo Leach, Irene and Navis, Gerjan and van den Berg, Maarten P and van Veldhuisen, Dirk J and Kellis, Manolis and Krijthe, Bouwe P and Franco, Oscar H and Hofman, Albert and Kors, Jan A and Uitterlinden, Andr{\'e} G and Witteman, Jacqueline C M and Kedenko, Lyudmyla and Lamina, Claudia and Oostra, Ben A and Abecasis, Goncalo R and Lakatta, Edward G and Mulas, Antonella and Orr{\`u}, Marco and Schlessinger, David and Uda, Manuela and Markus, Marcello R P and V{\"o}lker, Uwe and Snieder, Harold and Spector, Timothy D and Arnl{\"o}v, Johan and Lind, Lars and Sundstr{\"o}m, Johan and Syv{\"a}nen, Ann-Christine and Kivimaki, Mika and K{\"a}h{\"o}nen, Mika and Mononen, Nina and Raitakari, Olli T and Viikari, Jorma S and Adamkova, Vera and Kiechl, Stefan and Brion, Maria and Nicolaides, Andrew N and Paulweber, Bernhard and Haerting, Johannes and Dominiczak, Anna F and Nyberg, Fredrik and Whincup, Peter H and Hingorani, Aroon D and Schott, Jean-Jacques and Bezzina, Connie R and Ingelsson, Erik and Ferrucci, Luigi and Gasparini, Paolo and Wilson, James F and Rudan, Igor and Franke, Andre and M{\"u}hleisen, Thomas W and Pramstaller, Peter P and Lehtim{\"a}ki, Terho J and Paterson, Andrew D and Parsa, Afshin and Liu, Yongmei and van Duijn, Cornelia M and Siscovick, David S and Gudnason, Vilmundur and Jamshidi, Yalda and Salomaa, Veikko and Felix, Stephan B and Sanna, Serena and Ritchie, Marylyn D and Stricker, Bruno H and Stefansson, Kari and Boyer, Laurie A and Cappola, Thomas P and Olsen, Jesper V and Lage, Kasper and Schwartz, Peter J and K{\"a}{\"a}b, Stefan and Chakravarti, Aravinda and Ackerman, Michael J and Pfeufer, Arne and de Bakker, Paul I W and Newton-Cheh, Christopher} } @article {7019, title = {Genetic determinants of age-related macular degeneration in diverse populations from the PAGE study.}, journal = {Invest Ophthalmol Vis Sci}, volume = {55}, year = {2014}, month = {2014 Sep 9}, pages = {6839-50}, abstract = {

PURPOSE: Substantial progress has been made in identifying susceptibility variants for AMD in European populations; however, few studies have been conducted to understand the role these variants play in AMD risk in diverse populations. The present study aims to examine AMD risk across diverse populations in known and suspected AMD complement factor and lipid-related loci.

METHODS: Targeted genotyping was performed across study sites for AMD and lipid trait-associated single nucleotide polymorphism (SNPs). Genetic association tests were performed at individual sites and then meta-analyzed using logistic regression assuming an additive genetic model stratified by self-described race/ethnicity. Participants included cases with early or late AMD and controls with no signs of AMD as determined by fundus photography. Populations included in this study were European Americans, African Americans, Mexican Americans, and Singaporeans from the Population Architecture using Genomics and Epidemiology (PAGE) study.

RESULTS: Index variants of AMD, rs1061170 (CFH) and rs10490924 (ARMS2), were associated with AMD at P=3.05{\texttimes}10(-8) and P=6.36{\texttimes}10(-6), respectively, in European Americans. In general, none of the major AMD index variants generalized to our non-European populations with the exception of rs10490924 in Mexican Americans at an uncorrected P value<0.05. Four lipid-associated SNPS (LPL rs328, TRIB1 rs6987702, CETP rs1800775, and KCTD10/MVK rs2338104) were associated with AMD in African Americans and Mexican Americans (P<0.05), but these associations did not survive strict corrections for multiple testing.

CONCLUSIONS: While most associations did not generalize in the non-European populations, variants within lipid-related genes were found to be associated with AMD. This study highlights the need for larger well-powered studies in non-European populations.

}, keywords = {Adult, Aged, Aged, 80 and over, Complement Factor H, DNA, Ethnic Groups, Female, Gene Frequency, Genetic Predisposition to Disease, Genotype, Humans, Macular Degeneration, Male, Middle Aged, Phenotype, Polymorphism, Single Nucleotide, Prevalence, Prospective Studies, Proteins, Risk Factors, United States}, issn = {1552-5783}, doi = {10.1167/iovs.14-14246}, author = {Restrepo, Nicole A and Spencer, Kylee L and Goodloe, Robert and Garrett, Tiana A and Heiss, Gerardo and B{\r u}zkov{\'a}, Petra and Jorgensen, Neal and Jensen, Richard A and Matise, Tara C and Hindorff, Lucia A and Klein, Barbara E K and Klein, Ronald and Wong, Tien Y and Cheng, Ching-Yu and Cornes, Belinda K and Tai, E-Shyong and Ritchie, Marylyn D and Haines, Jonathan L and Crawford, Dana C} } @article {6690, title = {Genetic diversity is a predictor of mortality in humans.}, journal = {BMC Genet}, volume = {15}, year = {2014}, month = {2014}, pages = {159}, abstract = {

BACKGROUND: It has been well-established, both by population genetics theory and direct observation in many organisms, that increased genetic diversity provides a survival advantage. However, given the limitations of both sample size and genome-wide metrics, this hypothesis has not been comprehensively tested in human populations. Moreover, the presence of numerous segregating small effect alleles that influence traits that directly impact health directly raises the question as to whether global measures of genomic variation are themselves associated with human health and disease.

RESULTS: We performed a meta-analysis of 17 cohorts followed prospectively, with a combined sample size of 46,716 individuals, including a total of 15,234 deaths. We find a significant association between increased heterozygosity and survival (P = 0.03). We estimate that within a single population, every standard deviation of heterozygosity an individual has over the mean decreases that person{\textquoteright}s risk of death by 1.57\%.

CONCLUSIONS: This effect was consistent between European and African ancestry cohorts, men and women, and major causes of death (cancer and cardiovascular disease), demonstrating the broad positive impact of genomic diversity on human survival.

}, keywords = {Genome-Wide Association Study, Heterozygote, Humans, Mortality, Polymorphism, Single Nucleotide, Proportional Hazards Models}, issn = {1471-2156}, doi = {10.1186/s12863-014-0159-7}, author = {Bihlmeyer, Nathan A and Brody, Jennifer A and Smith, Albert Vernon and Lunetta, Kathryn L and Nalls, Mike and Smith, Jennifer A and Tanaka, Toshiko and Davies, Gail and Yu, Lei and Mirza, Saira Saeed and Teumer, Alexander and Coresh, Josef and Pankow, James S and Franceschini, Nora and Scaria, Anish and Oshima, Junko and Psaty, Bruce M and Gudnason, Vilmundur and Eiriksdottir, Gudny and Harris, Tamara B and Li, Hanyue and Karasik, David and Kiel, Douglas P and Garcia, Melissa and Liu, Yongmei and Faul, Jessica D and Kardia, Sharon Lr and Zhao, Wei and Ferrucci, Luigi and Allerhand, Michael and Liewald, David C and Redmond, Paul and Starr, John M and De Jager, Philip L and Evans, Denis A and Direk, Nese and Ikram, Mohammed Arfan and Uitterlinden, Andre and Homuth, Georg and Lorbeer, Roberto and Grabe, Hans J and Launer, Lenore and Murabito, Joanne M and Singleton, Andrew B and Weir, David R and Bandinelli, Stefania and Deary, Ian J and Bennett, David A and Tiemeier, Henning and Kocher, Thomas and Lumley, Thomas and Arking, Dan E} } @article {6595, title = {Genetic variants related to height and risk of atrial fibrillation: the cardiovascular health study.}, journal = {Am J Epidemiol}, volume = {180}, year = {2014}, month = {2014 Jul 15}, pages = {215-22}, abstract = {

Increased height is a known independent risk factor for atrial fibrillation (AF). However, whether genetic determinants of height influence risk is uncertain. In this candidate gene study, we examined the association of 209 height-associated single-nucleotide polymorphisms (SNPs) with incident AF in 3,309 persons of European descent from the Cardiovascular Health Study, a prospective cohort study of older adults (aged >= 65 years) enrolled in 1989-1990. After a median follow-up period of 13.2 years, 879 participants developed incident AF. The height-associated SNPs together explained approximately 10\% of the variation in height (P = 6.0 {\texttimes} 10(-8)). Using an unweighted genetic height score, we found a nonsignificant association with risk of AF (per allele, hazard ratio = 1.01, 95\% confidence interval: 1.00, 1.02; P = 0.06). In weighted analyses, we found that genetically predicted height was strongly associated with AF risk (per 10 cm, hazard ratio = 1.30, 95\% confidence interval: 1.03, 1.64; P = 0.03). Importantly, for all models, the inclusion of actual height completely attenuated the genetic height effect. Finally, we identified 1 nonsynonymous SNP (rs1046934) that was independently associated with AF and may warrant future study. In conclusion, we found that genetic determinants of height appear to increase the risk of AF, primarily via height itself. This approach of examining SNPs associated with an intermediate phenotype should be considered as a method for identifying novel genetic targets.

}, keywords = {African Americans, Aged, Atrial Fibrillation, Body Height, Endonucleases, European Continental Ancestry Group, Female, Genetic Predisposition to Disease, Humans, Longitudinal Studies, Male, Polymorphism, Single Nucleotide, Proportional Hazards Models, Risk Factors}, issn = {1476-6256}, doi = {10.1093/aje/kwu126}, author = {Rosenberg, Michael A and Kaplan, Robert C and Siscovick, David S and Psaty, Bruce M and Heckbert, Susan R and Newton-Cheh, Christopher and Mukamal, Kenneth J} } @article {6617, title = {Gene-wide analysis detects two new susceptibility genes for Alzheimer{\textquoteright}s disease.}, journal = {PLoS One}, volume = {9}, year = {2014}, month = {2014}, pages = {e94661}, abstract = {

BACKGROUND: Alzheimer{\textquoteright}s disease is a common debilitating dementia with known heritability, for which 20 late onset susceptibility loci have been identified, but more remain to be discovered. This study sought to identify new susceptibility genes, using an alternative gene-wide analytical approach which tests for patterns of association within genes, in the powerful genome-wide association dataset of the International Genomics of Alzheimer{\textquoteright}s Project Consortium, comprising over 7 m genotypes from 25,580 Alzheimer{\textquoteright}s cases and 48,466 controls.

PRINCIPAL FINDINGS: In addition to earlier reported genes, we detected genome-wide significant loci on chromosomes 8 (TP53INP1, p = 1.4{\texttimes}10-6) and 14 (IGHV1-67 p = 7.9{\texttimes}10-8) which indexed novel susceptibility loci.

SIGNIFICANCE: The additional genes identified in this study, have an array of functions previously implicated in Alzheimer{\textquoteright}s disease, including aspects of energy metabolism, protein degradation and the immune system and add further weight to these pathways as potential therapeutic targets in Alzheimer{\textquoteright}s disease.

}, keywords = {Alzheimer Disease, Carrier Proteins, Case-Control Studies, Genome-Wide Association Study, Heat-Shock Proteins, Humans, Polymorphism, Single Nucleotide, Receptors, Antigen, B-Cell}, issn = {1932-6203}, doi = {10.1371/journal.pone.0094661}, author = {Escott-Price, Valentina and Bellenguez, C{\'e}line and Wang, Li-San and Choi, Seung-Hoan and Harold, Denise and Jones, Lesley and Holmans, Peter and Gerrish, Amy and Vedernikov, Alexey and Richards, Alexander and DeStefano, Anita L and Lambert, Jean-Charles and Ibrahim-Verbaas, Carla A and Naj, Adam C and Sims, Rebecca and Jun, Gyungah and Bis, Joshua C and Beecham, Gary W and Grenier-Boley, Benjamin and Russo, Giancarlo and Thornton-Wells, Tricia A and Denning, Nicola and Smith, Albert V and Chouraki, Vincent and Thomas, Charlene and Ikram, M Arfan and Zelenika, Diana and Vardarajan, Badri N and Kamatani, Yoichiro and Lin, Chiao-Feng and Schmidt, Helena and Kunkle, Brian and Dunstan, Melanie L and Vronskaya, Maria and Johnson, Andrew D and Ruiz, Agustin and Bihoreau, Marie-Th{\'e}r{\`e}se and Reitz, Christiane and Pasquier, Florence and Hollingworth, Paul and Hanon, Olivier and Fitzpatrick, Annette L and Buxbaum, Joseph D and Campion, Dominique and Crane, Paul K and Baldwin, Clinton and Becker, Tim and Gudnason, Vilmundur and Cruchaga, Carlos and Craig, David and Amin, Najaf and Berr, Claudine and Lopez, Oscar L and De Jager, Philip L and Deramecourt, Vincent and Johnston, Janet A and Evans, Denis and Lovestone, Simon and Letenneur, Luc and Hernandez, Isabel and Rubinsztein, David C and Eiriksdottir, Gudny and Sleegers, Kristel and Goate, Alison M and Fi{\'e}vet, Nathalie and Huentelman, Matthew J and Gill, Michael and Brown, Kristelle and Kamboh, M Ilyas and Keller, Lina and Barberger-Gateau, Pascale and McGuinness, Bernadette and Larson, Eric B and Myers, Amanda J and Dufouil, Carole and Todd, Stephen and Wallon, David and Love, Seth and Rogaeva, Ekaterina and Gallacher, John and George-Hyslop, Peter St and Clarimon, Jordi and Lleo, Alberto and Bayer, Anthony and Tsuang, Debby W and Yu, Lei and Tsolaki, Magda and Boss{\`u}, Paola and Spalletta, Gianfranco and Proitsi, Petra and Collinge, John and Sorbi, Sandro and Garcia, Florentino Sanchez and Fox, Nick C and Hardy, John and Naranjo, Maria Candida Deniz and Bosco, Paolo and Clarke, Robert and Brayne, Carol and Galimberti, Daniela and Scarpini, Elio and Bonuccelli, Ubaldo and Mancuso, Michelangelo and Siciliano, Gabriele and Moebus, Susanne and Mecocci, Patrizia and Zompo, Maria Del and Maier, Wolfgang and Hampel, Harald and Pilotto, Alberto and Frank-Garc{\'\i}a, Ana and Panza, Francesco and Solfrizzi, Vincenzo and Caffarra, Paolo and Nacmias, Benedetta and Perry, William and Mayhaus, Manuel and Lannfelt, Lars and Hakonarson, Hakon and Pichler, Sabrina and Carrasquillo, Minerva M and Ingelsson, Martin and Beekly, Duane and Alvarez, Victoria and Zou, Fanggeng and Valladares, Otto and Younkin, Steven G and Coto, Eliecer and Hamilton-Nelson, Kara L and Gu, Wei and Razquin, Cristina and Pastor, Pau and Mateo, Ignacio and Owen, Michael J and Faber, Kelley M and Jonsson, Palmi V and Combarros, Onofre and O{\textquoteright}Donovan, Michael C and Cantwell, Laura B and Soininen, Hilkka and Blacker, Deborah and Mead, Simon and Mosley, Thomas H and Bennett, David A and Harris, Tamara B and Fratiglioni, Laura and Holmes, Clive and de Bruijn, Renee F A G and Passmore, Peter and Montine, Thomas J and Bettens, Karolien and Rotter, Jerome I and Brice, Alexis and Morgan, Kevin and Foroud, Tatiana M and Kukull, Walter A and Hannequin, Didier and Powell, John F and Nalls, Michael A and Ritchie, Karen and Lunetta, Kathryn L and Kauwe, John S K and Boerwinkle, Eric and Riemenschneider, Matthias and Boada, Merce and Hiltunen, Mikko and Martin, Eden R and Schmidt, Reinhold and Rujescu, Dan and Dartigues, Jean-Fran{\c c}ois and Mayeux, Richard and Tzourio, Christophe and Hofman, Albert and N{\"o}then, Markus M and Graff, Caroline and Psaty, Bruce M and Haines, Jonathan L and Lathrop, Mark and Pericak-Vance, Margaret A and Launer, Lenore J and Van Broeckhoven, Christine and Farrer, Lindsay A and van Duijn, Cornelia M and Ramirez, Alfredo and Seshadri, Sudha and Schellenberg, Gerard D and Amouyel, Philippe and Williams, Julie} } @article {6582, title = {Genome-wide association analysis identifies six new loci associated with forced vital capacity.}, journal = {Nat Genet}, volume = {46}, year = {2014}, month = {2014 Jul}, pages = {669-77}, abstract = {

Forced vital capacity (FVC), a spirometric measure of pulmonary function, reflects lung volume and is used to diagnose and monitor lung diseases. We performed genome-wide association study meta-analysis of FVC in 52,253 individuals from 26 studies and followed up the top associations in 32,917 additional individuals of European ancestry. We found six new regions associated at genome-wide significance (P < 5 {\texttimes} 10(-8)) with FVC in or near EFEMP1, BMP6, MIR129-2-HSD17B12, PRDM11, WWOX and KCNJ2. Two loci previously associated with spirometric measures (GSTCD and PTCH1) were related to FVC. Newly implicated regions were followed up in samples from African-American, Korean, Chinese and Hispanic individuals. We detected transcripts for all six newly implicated genes in human lung tissue. The new loci may inform mechanisms involved in lung development and the pathogenesis of restrictive lung disease.

}, keywords = {Cohort Studies, Databases, Genetic, Follow-Up Studies, Forced Expiratory Volume, Genetic Loci, Genetic Predisposition to Disease, Genome, Human, Genome-Wide Association Study, Humans, Lung Diseases, Meta-Analysis as Topic, Polymorphism, Single Nucleotide, Prognosis, Quantitative Trait Loci, Respiratory Function Tests, Spirometry, Vital Capacity}, issn = {1546-1718}, doi = {10.1038/ng.3011}, author = {Loth, Daan W and Soler Artigas, Maria and Gharib, Sina A and Wain, Louise V and Franceschini, Nora and Koch, Beate and Pottinger, Tess D and Smith, Albert Vernon and Duan, Qing and Oldmeadow, Chris and Lee, Mi Kyeong and Strachan, David P and James, Alan L and Huffman, Jennifer E and Vitart, Veronique and Ramasamy, Adaikalavan and Wareham, Nicholas J and Kaprio, Jaakko and Wang, Xin-Qun and Trochet, Holly and K{\"a}h{\"o}nen, Mika and Flexeder, Claudia and Albrecht, Eva and Lopez, Lorna M and de Jong, Kim and Thyagarajan, Bharat and Alves, Alexessander Couto and Enroth, Stefan and Omenaas, Ernst and Joshi, Peter K and Fall, Tove and Vi{\~n}uela, Ana and Launer, Lenore J and Loehr, Laura R and Fornage, Myriam and Li, Guo and Wilk, Jemma B and Tang, Wenbo and Manichaikul, Ani and Lahousse, Lies and Harris, Tamara B and North, Kari E and Rudnicka, Alicja R and Hui, Jennie and Gu, Xiangjun and Lumley, Thomas and Wright, Alan F and Hastie, Nicholas D and Campbell, Susan and Kumar, Rajesh and Pin, Isabelle and Scott, Robert A and Pietil{\"a}inen, Kirsi H and Surakka, Ida and Liu, Yongmei and Holliday, Elizabeth G and Schulz, Holger and Heinrich, Joachim and Davies, Gail and Vonk, Judith M and Wojczynski, Mary and Pouta, Anneli and Johansson, Asa and Wild, Sarah H and Ingelsson, Erik and Rivadeneira, Fernando and V{\"o}lzke, Henry and Hysi, Pirro G and Eiriksdottir, Gudny and Morrison, Alanna C and Rotter, Jerome I and Gao, Wei and Postma, Dirkje S and White, Wendy B and Rich, Stephen S and Hofman, Albert and Aspelund, Thor and Couper, David and Smith, Lewis J and Psaty, Bruce M and Lohman, Kurt and Burchard, Esteban G and Uitterlinden, Andr{\'e} G and Garcia, Melissa and Joubert, Bonnie R and McArdle, Wendy L and Musk, A Bill and Hansel, Nadia and Heckbert, Susan R and Zgaga, Lina and van Meurs, Joyce B J and Navarro, Pau and Rudan, Igor and Oh, Yeon-Mok and Redline, Susan and Jarvis, Deborah L and Zhao, Jing Hua and Rantanen, Taina and O{\textquoteright}Connor, George T and Ripatti, Samuli and Scott, Rodney J and Karrasch, Stefan and Grallert, Harald and Gaddis, Nathan C and Starr, John M and Wijmenga, Cisca and Minster, Ryan L and Lederer, David J and Pekkanen, Juha and Gyllensten, Ulf and Campbell, Harry and Morris, Andrew P and Gl{\"a}ser, Sven and Hammond, Christopher J and Burkart, Kristin M and Beilby, John and Kritchevsky, Stephen B and Gudnason, Vilmundur and Hancock, Dana B and Williams, O Dale and Polasek, Ozren and Zemunik, Tatijana and Kolcic, Ivana and Petrini, Marcy F and Wjst, Matthias and Kim, Woo Jin and Porteous, David J and Scotland, Generation and Smith, Blair H and Viljanen, Anne and Heli{\"o}vaara, Markku and Attia, John R and Sayers, Ian and Hampel, Regina and Gieger, Christian and Deary, Ian J and Boezen, H Marike and Newman, Anne and Jarvelin, Marjo-Riitta and Wilson, James F and Lind, Lars and Stricker, Bruno H and Teumer, Alexander and Spector, Timothy D and Mel{\'e}n, Erik and Peters, Marjolein J and Lange, Leslie A and Barr, R Graham and Bracke, Ken R and Verhamme, Fien M and Sung, Joohon and Hiemstra, Pieter S and Cassano, Patricia A and Sood, Akshay and Hayward, Caroline and Dupuis, Jos{\'e}e and Hall, Ian P and Brusselle, Guy G and Tobin, Martin D and London, Stephanie J} } @article {6367, title = {Genome-wide association study for circulating tissue plasminogen activator levels and functional follow-up implicates endothelial STXBP5 and STX2.}, journal = {Arterioscler Thromb Vasc Biol}, volume = {34}, year = {2014}, month = {2014 May}, pages = {1093-101}, abstract = {

OBJECTIVE: Tissue plasminogen activator (tPA), a serine protease, catalyzes the conversion of plasminogen to plasmin, the major enzyme responsible for endogenous fibrinolysis. In some populations, elevated plasma levels of tPA have been associated with myocardial infarction and other cardiovascular diseases. We conducted a meta-analysis of genome-wide association studies to identify novel correlates of circulating levels of tPA.

APPROACH AND RESULTS: Fourteen cohort studies with tPA measures (N=26 929) contributed to the meta-analysis. Three loci were significantly associated with circulating tPA levels (P<5.0{\texttimes}10(-8)). The first locus is on 6q24.3, with the lead single nucleotide polymorphism (SNP; rs9399599; P=2.9{\texttimes}10(-14)) within STXBP5. The second locus is on 8p11.21. The lead SNP (rs3136739; P=1.3{\texttimes}10(-9)) is intronic to POLB and <200 kb away from the tPA encoding the gene PLAT. We identified a nonsynonymous SNP (rs2020921) in modest linkage disequilibrium with rs3136739 (r(2)=0.50) within exon 5 of PLAT (P=2.0{\texttimes}10(-8)). The third locus is on 12q24.33, with the lead SNP (rs7301826; P=1.0{\texttimes}10(-9)) within intron 7 of STX2. We further found evidence for the association of lead SNPs in STXBP5 and STX2 with expression levels of the respective transcripts. In in vitro cell studies, silencing STXBP5 decreased the release of tPA from vascular endothelial cells, whereas silencing STX2 increased the tPA release. Through an in silico lookup, we found no associations of the 3 lead SNPs with coronary artery disease or stroke.

CONCLUSIONS: We identified 3 loci associated with circulating tPA levels, the PLAT region, STXBP5, and STX2. Our functional studies implicate a novel role for STXBP5 and STX2 in regulating tPA release.

}, keywords = {Aged, Cells, Cultured, Coronary Artery Disease, Endothelial Cells, Europe, Female, Gene Expression Regulation, Gene Silencing, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Middle Aged, Nerve Tissue Proteins, Phenotype, Polymorphism, Single Nucleotide, R-SNARE Proteins, Risk Factors, Stroke, Syntaxin 1, Tissue Plasminogen Activator, Transfection, United States, Up-Regulation}, issn = {1524-4636}, doi = {10.1161/ATVBAHA.113.302088}, author = {Huang, Jie and Huffman, Jennifer E and Yamakuchi, Munekazu and Yamkauchi, Munekazu and Trompet, Stella and Asselbergs, Folkert W and Sabater-Lleal, Maria and Tr{\'e}gou{\"e}t, David-Alexandre and Chen, Wei-Min and Smith, Nicholas L and Kleber, Marcus E and Shin, So-Youn and Becker, Diane M and Tang, Weihong and Dehghan, Abbas and Johnson, Andrew D and Truong, Vinh and Folkersen, Lasse and Yang, Qiong and Oudot-Mellkah, Tiphaine and Buckley, Brendan M and Moore, Jason H and Williams, Frances M K and Campbell, Harry and Silbernagel, G{\"u}nther and Vitart, Veronique and Rudan, Igor and Tofler, Geoffrey H and Navis, Gerjan J and DeStefano, Anita and Wright, Alan F and Chen, Ming-Huei and de Craen, Anton J M and Worrall, Bradford B and Rudnicka, Alicja R and Rumley, Ann and Bookman, Ebony B and Psaty, Bruce M and Chen, Fang and Keene, Keith L and Franco, Oscar H and B{\"o}hm, Bernhard O and Uitterlinden, Andr{\'e} G and Carter, Angela M and Jukema, J Wouter and Sattar, Naveed and Bis, Joshua C and Ikram, Mohammad A and Sale, Mich{\`e}le M and McKnight, Barbara and Fornage, Myriam and Ford, Ian and Taylor, Kent and Slagboom, P Eline and McArdle, Wendy L and Hsu, Fang-Chi and Franco-Cereceda, Anders and Goodall, Alison H and Yanek, Lisa R and Furie, Karen L and Cushman, Mary and Hofman, Albert and Witteman, Jacqueline C M and Folsom, Aaron R and Basu, Saonli and Matijevic, Nena and van Gilst, Wiek H and Wilson, James F and Westendorp, Rudi G J and Kathiresan, Sekar and Reilly, Muredach P and Tracy, Russell P and Polasek, Ozren and Winkelmann, Bernhard R and Grant, Peter J and Hillege, Hans L and Cambien, Francois and Stott, David J and Lowe, Gordon D and Spector, Timothy D and Meigs, James B and M{\"a}rz, Winfried and Eriksson, Per and Becker, Lewis C and Morange, Pierre-Emmanuel and Soranzo, Nicole and Williams, Scott M and Hayward, Caroline and van der Harst, Pim and Hamsten, Anders and Lowenstein, Charles J and Strachan, David P and O{\textquoteright}Donnell, Christopher J} } @article {6819, title = {Genome-wide association study of L-arginine and dimethylarginines reveals novel metabolic pathway for symmetric dimethylarginine.}, journal = {Circ Cardiovasc Genet}, volume = {7}, year = {2014}, month = {2014 Dec}, pages = {864-72}, abstract = {

BACKGROUND: Dimethylarginines (DMA) interfere with nitric oxide formation by inhibiting nitric oxide synthase (asymmetrical DMA [ADMA]) and l-arginine uptake into the cell (ADMA and symmetrical DMA [SDMA]). In prospective clinical studies, ADMA has been characterized as a cardiovascular risk marker, whereas SDMA is a novel marker for renal function and associated with all-cause mortality after ischemic stroke. The aim of the current study was to characterize the environmental and genetic contributions to interindividual variability of these biomarkers.

METHODS AND RESULTS: This study comprised a genome-wide association analysis of 3 well-characterized population-based cohorts (Framingham Heart Study [FHS; n=2992], Gutenberg Health Study [GHS; n=4354], and Multinational Monitoring of Trends and Determinants in Cardiovascular Disease Study [MONICA]/Cooperative Health Research in the Augsburg Area, Augsburg, Bavaria, Germany [KORA] F3 [n=581]) and identified replicated loci (DDAH1, MED23, Arg1, and AGXT2) associated with the interindividual variability in ADMA, l-arginine, and SDMA. Experimental in silico and in vitro studies confirmed functional significance of the identified AGXT2 variants. Clinical outcome analysis in 384 patients of the Leeds stroke study demonstrated an association between increased plasma levels of SDMA, AGXT2 variants, and various cardiometabolic risk factors. AGXT2 variants were not associated with poststroke survival in the Leeds study or were they associated with incident stroke in the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium.

CONCLUSIONS: These genome-wide association study support the importance of DDAH1 and MED23/Arg1 in regulating ADMA and l-arginine metabolism, respectively, and identify a novel regulatory renal pathway for SDMA by AGXT2. AGXT2 variants might explain part of the pathogenic link between SDMA, renal function, and outcome. An association between AGXT2 variants and stroke is unclear and warrants further investigation.

}, keywords = {Adult, Aged, Amidohydrolases, Arginine, Binding Sites, Cohort Studies, Female, Genetic Loci, Genome-Wide Association Study, Genotype, HEK293 Cells, Humans, Male, Mediator Complex, Middle Aged, Polymorphism, Single Nucleotide, Protein Structure, Tertiary, Risk Factors, Stroke, Substrate Specificity, Transaminases}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.113.000264}, author = {L{\"u}neburg, Nicole and Lieb, Wolfgang and Zeller, Tanja and Chen, Ming-Huei and Maas, Renke and Carter, Angela M and Xanthakis, Vanessa and Glazer, Nicole L and Schwedhelm, Edzard and Seshadri, Sudha and Ikram, Mohammad Arfan and Longstreth, William T and Fornage, Myriam and K{\"o}nig, Inke R and Loley, Christina and Ojeda, Francisco M and Schillert, Arne and Wang, Thomas J and Sticht, Heinrich and Kittel, Anja and K{\"o}nig, J{\"o}rg and Benjamin, Emelia J and Sullivan, Lisa M and Bernges, Isabel and Anderssohn, Maike and Ziegler, Andreas and Gieger, Christian and Illig, Thomas and Meisinger, Christa and Wichmann, H-Erich and Wild, Philipp S and Schunkert, Heribert and Psaty, Bruce M and Wiggins, Kerri L and Heckbert, Susan R and Smith, Nicholas and Lackner, Karl and Lunetta, Kathryn L and Blankenberg, Stefan and Erdmann, Jeanette and M{\"u}nzel, Thomas and Grant, Peter J and Vasan, Ramachandran S and B{\"o}ger, Rainer H} } @article {6567, title = {Genome-wide association study of plasma N6 polyunsaturated fatty acids within the cohorts for heart and aging research in genomic epidemiology consortium.}, journal = {Circ Cardiovasc Genet}, volume = {7}, year = {2014}, month = {2014 Jun}, pages = {321-331}, abstract = {

BACKGROUND: Omega6 (n6) polyunsaturated fatty acids (PUFAs) and their metabolites are involved in cell signaling, inflammation, clot formation, and other crucial biological processes. Genetic components, such as variants of fatty acid desaturase (FADS) genes, determine the composition of n6 PUFAs.

METHODS AND RESULTS: To elucidate undiscovered biological pathways that may influence n6 PUFA composition, we conducted genome-wide association studies and meta-analyses of associations of common genetic variants with 6 plasma n6 PUFAs in 8631 white adults (55\% women) across 5 prospective studies. Plasma phospholipid or total plasma fatty acids were analyzed by similar gas chromatography techniques. The n6 fatty acids linoleic acid (LA), γ-linolenic acid (GLA), dihomo-GLA, arachidonic acid, and adrenic acid were expressed as percentage of total fatty acids. We performed linear regression with robust SEs to test for single-nucleotide polymorphism-fatty acid associations, with pooling using inverse-variance-weighted meta-analysis. Novel regions were identified on chromosome 10 associated with LA (rs10740118; P=8.1{\texttimes}10(-9); near NRBF2), on chromosome 16 with LA, GLA, dihomo-GLA, and arachidonic acid (rs16966952; P=1.2{\texttimes}10(-15), 5.0{\texttimes}10(-11), 7.6{\texttimes}10(-65), and 2.4{\texttimes}10(-10), respectively; NTAN1), and on chromosome 6 with adrenic acid after adjustment for arachidonic acid (rs3134950; P=2.1{\texttimes}10(-10); AGPAT1). We confirmed previous findings of the FADS cluster on chromosome 11 with LA and arachidonic acid, and further observed novel genome-wide significant association of this cluster with GLA, dihomo-GLA, and adrenic acid (P=2.3{\texttimes}10(-72), 2.6{\texttimes}10(-151), and 6.3{\texttimes}10(-140), respectively).

CONCLUSIONS: Our findings suggest that along with the FADS gene cluster, additional genes may influence n6 PUFA composition.

}, keywords = {Adult, Aged, Aged, 80 and over, Aging, Chromosomes, Human, Pair 10, Chromosomes, Human, Pair 16, Chromosomes, Human, Pair 6, Fatty Acid Desaturases, Fatty Acids, Omega-6, Female, Genome-Wide Association Study, Genomics, Heart Diseases, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Prospective Studies, Sequence Analysis, DNA}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.113.000208}, author = {Guan, Weihua and Steffen, Brian T and Lemaitre, Rozenn N and Wu, Jason H Y and Tanaka, Toshiko and Manichaikul, Ani and Foy, Millennia and Rich, Stephen S and Wang, Lu and Nettleton, Jennifer A and Tang, Weihong and Gu, Xiangjun and Bandinelli, Stafania and King, Irena B and McKnight, Barbara and Psaty, Bruce M and Siscovick, David and Djouss{\'e}, Luc and Chen, Yii-Der Ida and Ferrucci, Luigi and Fornage, Myriam and Mozafarrian, Dariush and Tsai, Michael Y and Steffen, Lyn M} } @article {6559, title = {Glycated hemoglobin measurement and prediction of cardiovascular disease.}, journal = {JAMA}, volume = {311}, year = {2014}, month = {2014 Mar 26}, pages = {1225-33}, abstract = {

IMPORTANCE: The value of measuring levels of glycated hemoglobin (HbA1c) for the prediction of first cardiovascular events is uncertain.

OBJECTIVE: To determine whether adding information on HbA1c values to conventional cardiovascular risk factors is associated with improvement in prediction of cardiovascular disease (CVD) risk.

DESIGN, SETTING, AND PARTICIPANTS: Analysis of individual-participant data available from 73 prospective studies involving 294,998 participants without a known history of diabetes mellitus or CVD at the baseline assessment.

MAIN OUTCOMES AND MEASURES: Measures of risk discrimination for CVD outcomes (eg, C-index) and reclassification (eg, net reclassification improvement) of participants across predicted 10-year risk categories of low (<5\%), intermediate (5\% to <7.5\%), and high (>= 7.5\%) risk.

RESULTS: During a median follow-up of 9.9 (interquartile range, 7.6-13.2) years, 20,840 incident fatal and nonfatal CVD outcomes (13,237 coronary heart disease and 7603 stroke outcomes) were recorded. In analyses adjusted for several conventional cardiovascular risk factors, there was an approximately J-shaped association between HbA1c values and CVD risk. The association between HbA1c values and CVD risk changed only slightly after adjustment for total cholesterol and triglyceride concentrations or estimated glomerular filtration rate, but this association attenuated somewhat after adjustment for concentrations of high-density lipoprotein cholesterol and C-reactive protein. The C-index for a CVD risk prediction model containing conventional cardiovascular risk factors alone was 0.7434 (95\% CI, 0.7350 to 0.7517). The addition of information on HbA1c was associated with a C-index change of 0.0018 (0.0003 to 0.0033) and a net reclassification improvement of 0.42 (-0.63 to 1.48) for the categories of predicted 10-year CVD risk. The improvement provided by HbA1c assessment in prediction of CVD risk was equal to or better than estimated improvements for measurement of fasting, random, or postload plasma glucose levels.

CONCLUSIONS AND RELEVANCE: In a study of individuals without known CVD or diabetes, additional assessment of HbA1c values in the context of CVD risk assessment provided little incremental benefit for prediction of CVD risk.

}, keywords = {Aged, C-Reactive Protein, Cholesterol, HDL, Coronary Disease, Diabetes Mellitus, Female, Glycated Hemoglobin A, Humans, Male, Middle Aged, Predictive Value of Tests, Prospective Studies, Risk Assessment, Stroke}, issn = {1538-3598}, doi = {10.1001/jama.2014.1873}, author = {Di Angelantonio, Emanuele and Gao, Pei and Khan, Hassan and Butterworth, Adam S and Wormser, David and Kaptoge, Stephen and Kondapally Seshasai, Sreenivasa Rao and Thompson, Alex and Sarwar, Nadeem and Willeit, Peter and Ridker, Paul M and Barr, Elizabeth L M and Khaw, Kay-Tee and Psaty, Bruce M and Brenner, Hermann and Balkau, Beverley and Dekker, Jacqueline M and Lawlor, Debbie A and Daimon, Makoto and Willeit, Johann and Nj{\o}lstad, Inger and Nissinen, Aulikki and Brunner, Eric J and Kuller, Lewis H and Price, Jackie F and Sundstr{\"o}m, Johan and Knuiman, Matthew W and Feskens, Edith J M and Verschuren, W M M and Wald, Nicholas and Bakker, Stephan J L and Whincup, Peter H and Ford, Ian and Goldbourt, Uri and G{\'o}mez-de-la-C{\'a}mara, Agust{\'\i}n and Gallacher, John and Simons, Leon A and Rosengren, Annika and Sutherland, Susan E and Bj{\"o}rkelund, Cecilia and Blazer, Dan G and Wassertheil-Smoller, Sylvia and Onat, Altan and Mar{\'\i}n Iba{\~n}ez, Alejandro and Casiglia, Edoardo and Jukema, J Wouter and Simpson, Lara M and Giampaoli, Simona and Nordestgaard, B{\o}rge G and Selmer, Randi and Wennberg, Patrik and Kauhanen, Jussi and Salonen, Jukka T and Dankner, Rachel and Barrett-Connor, Elizabeth and Kavousi, Maryam and Gudnason, Vilmundur and Evans, Denis and Wallace, Robert B and Cushman, Mary and D{\textquoteright}Agostino, Ralph B and Umans, Jason G and Kiyohara, Yutaka and Nakagawa, Hidaeki and Sato, Shinichi and Gillum, Richard F and Folsom, Aaron R and van der Schouw, Yvonne T and Moons, Karel G and Griffin, Simon J and Sattar, Naveed and Wareham, Nicholas J and Selvin, Elizabeth and Thompson, Simon G and Danesh, John} } @article {6802, title = {Gene {\texttimes} dietary pattern interactions in obesity: analysis of up to 68 317 adults of European ancestry.}, journal = {Hum Mol Genet}, volume = {24}, year = {2015}, month = {2015 Aug 15}, pages = {4728-38}, abstract = {

Obesity is highly heritable. Genetic variants showing robust associations with obesity traits have been identified through genome-wide association studies. We investigated whether a composite score representing healthy diet modifies associations of these variants with obesity traits. Totally, 32 body mass index (BMI)- and 14 waist-hip ratio (WHR)-associated single nucleotide polymorphisms were genotyped, and genetic risk scores (GRS) were calculated in 18 cohorts of European ancestry (n = 68 317). Diet score was calculated based on self-reported intakes of whole grains, fish, fruits, vegetables, nuts/seeds (favorable) and red/processed meats, sweets, sugar-sweetened beverages and fried potatoes (unfavorable). Multivariable adjusted, linear regression within each cohort followed by inverse variance-weighted, fixed-effects meta-analysis was used to characterize: (a) associations of each GRS with BMI and BMI-adjusted WHR~and (b) diet score modification of genetic associations with BMI and BMI-adjusted WHR. Nominally significant interactions (P = 0.006-0.04) were observed between the diet score and WHR-GRS (but not BMI-GRS), two WHR loci (GRB14 rs10195252; LYPLAL1 rs4846567) and two BMI loci (LRRN6C rs10968576; MTIF3 rs4771122), for the respective BMI-adjusted WHR or BMI outcomes. Although the magnitudes of these select interactions were small, our data indicated that associations between genetic predisposition and obesity traits were stronger with a healthier diet. Our findings generate interesting hypotheses; however, experimental and functional studies are needed to determine their clinical relevance.

}, keywords = {Adult, Body Mass Index, Case-Control Studies, Diet, Western, Epistasis, Genetic, European Continental Ancestry Group, Female, Genetic Loci, Genome-Wide Association Study, Humans, Male, Obesity, Polymorphism, Single Nucleotide}, issn = {1460-2083}, doi = {10.1093/hmg/ddv186}, author = {Nettleton, Jennifer A and Follis, Jack L and Ngwa, Julius S and Smith, Caren E and Ahmad, Shafqat and Tanaka, Toshiko and Wojczynski, Mary K and Voortman, Trudy and Lemaitre, Rozenn N and Kristiansson, Kati and Nuotio, Marja-Liisa and Houston, Denise K and Per{\"a}l{\"a}, Mia-Maria and Qi, Qibin and Sonestedt, Emily and Manichaikul, Ani and Kanoni, Stavroula and Ganna, Andrea and Mikkil{\"a}, Vera and North, Kari E and Siscovick, David S and Harald, Kennet and McKeown, Nicola M and Johansson, Ingegerd and Rissanen, Harri and Liu, Yongmei and Lahti, Jari and Hu, Frank B and Bandinelli, Stefania and Rukh, Gull and Rich, Stephen and Booij, Lisanne and Dmitriou, Maria and Ax, Erika and Raitakari, Olli and Mukamal, Kenneth and M{\"a}nnist{\"o}, Satu and Hallmans, G{\"o}ran and Jula, Antti and Ericson, Ulrika and Jacobs, David R and van Rooij, Frank J A and Deloukas, Panos and Sjogren, Per and K{\"a}h{\"o}nen, Mika and Djouss{\'e}, Luc and Perola, Markus and Barroso, In{\^e}s and Hofman, Albert and Stirrups, Kathleen and Viikari, Jorma and Uitterlinden, Andr{\'e} G and Kalafati, Ioanna P and Franco, Oscar H and Mozaffarian, Dariush and Salomaa, Veikko and Borecki, Ingrid B and Knekt, Paul and Kritchevsky, Stephen B and Eriksson, Johan G and Dedoussis, George V and Qi, Lu and Ferrucci, Luigi and Orho-Melander, Marju and Zillikens, M Carola and Ingelsson, Erik and Lehtim{\"a}ki, Terho and Renstrom, Frida and Cupples, L Adrienne and Loos, Ruth J F and Franks, Paul W} } @article {7376, title = {Gene-centric approach identifies new and known loci for FVIII activity and VWF antigen levels in European Americans and African Americans.}, journal = {Am J Hematol}, volume = {90}, year = {2015}, month = {2015 Jun}, pages = {534-40}, abstract = {

Coagulation factor VIII and von Willebrand factor (VWF) are key proteins in procoagulant activation. Higher FVIII coagulant activity (FVIII :C) and VWF antigen (VWF :Ag) are risk factors for cardiovascular disease and venous thromboembolism. Beyond associations with ABO blood group, genetic determinants of FVIII and VWF are not well understood, especially in non European-American populations. We performed a genetic association study of FVIII :C and VWF:Ag that assessed 50,000 gene-centric single nucleotide polymorphisms (SNPs) in 18,556 European Americans (EAs) and 5,047 African Americans (AAs) from five population-based cohorts. Previously unreported associations for FVIII :C were identified in both AAs and EAs with KNG1 (most significantly associated SNP rs710446, Ile581Thr, Ile581Thr, P = 5.10 {\texttimes} 10(-7) in EAs and P = 3.88 {\texttimes} 10(-3) in AAs) and VWF rs7962217 (Gly2705Arg,P = 6.30 {\texttimes} 10(-9) in EAs and P = 2.98 {\texttimes} 10(-2) in AAs. Significant associations for FVIII :C were also observed with F8/TMLHE region SNP rs12557310 in EAs (P = 8.02 {\texttimes} 10(-10) ), with VWF rs1800380 in AAs (P = 5.62 {\texttimes} 10(-11) ), and with MAT1A rs2236568 in AAs (P51.69 {\texttimes} 10(-6) ). We replicated previously reported associations of FVIII :C and VWF :Ag with the ABO blood group, VWF rs1063856(Thr789Ala), rs216321 (Ala852Gln), and VWF rs2229446 (Arg2185Gln). Findings from this study expand our understanding of genetic influences for FVIII :C and VWF :Ag in both EAs and AAs.

}, keywords = {Adult, African Americans, Aged, European Continental Ancestry Group, Factor VIII, Female, Genetic Loci, Genome-Wide Association Study, Humans, Male, Methionine Adenosyltransferase, Middle Aged, Polymorphism, Single Nucleotide, Venous Thromboembolism, von Willebrand Factor}, issn = {1096-8652}, doi = {10.1002/ajh.24005}, author = {Tang, Weihong and Cushman, Mary and Green, David and Rich, Stephen S and Lange, Leslie A and Yang, Qiong and Tracy, Russell P and Tofler, Geoffrey H and Basu, Saonli and Wilson, James G and Keating, Brendan J and Weng, Lu-Chen and Taylor, Herman A and Jacobs, David R and Delaney, Joseph A and Palmer, Cameron D and Young, Taylor and Pankow, James S and O{\textquoteright}Donnell, Christopher J and Smith, Nicholas L and Reiner, Alexander P and Folsom, Aaron R} } @article {6927, title = {Gene-Environment Interactions of Circadian-Related Genes for Cardiometabolic Traits.}, journal = {Diabetes Care}, volume = {38}, year = {2015}, month = {2015 Aug}, pages = {1456-66}, abstract = {

OBJECTIVE: Common circadian-related gene variants associate with increased risk for metabolic alterations including type 2 diabetes. However, little is known about whether diet and sleep could modify associations between circadian-related variants (CLOCK-rs1801260, CRY2-rs11605924, MTNR1B-rs1387153, MTNR1B-rs10830963, NR1D1-rs2314339) and cardiometabolic traits (fasting glucose [FG], HOMA-insulin resistance, BMI, waist circumference, and HDL-cholesterol) to facilitate personalized recommendations.

RESEARCH DESIGN AND METHODS: We conducted inverse-variance weighted, fixed-effect meta-analyses of results of adjusted associations and interactions between dietary intake/sleep duration and selected variants on cardiometabolic traits from 15 cohort studies including up to 28,190 participants of European descent from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium.

RESULTS: We observed significant associations between relative macronutrient intakes and glycemic traits and short sleep duration (<7 h) and higher FG and replicated known MTNR1B associations with glycemic traits. No interactions were evident after accounting for multiple comparisons. However, we observed nominally significant interactions (all P < 0.01) between carbohydrate intake and MTNR1B-rs1387153 for FG with a 0.003 mmol/L higher FG with each additional 1\% carbohydrate intake in the presence of the T allele, between sleep duration and CRY2-rs11605924 for HDL-cholesterol with a 0.010 mmol/L higher HDL-cholesterol with each additional hour of sleep in the presence of the A allele, and between long sleep duration (>=9 h) and MTNR1B-rs1387153 for BMI with a 0.60 kg/m(2) higher BMI with long sleep duration in the presence of the T allele relative to normal sleep duration (>=7 to <9 h).

CONCLUSIONS: Our results suggest that lower carbohydrate intake and normal sleep duration may ameliorate cardiometabolic abnormalities conferred by common circadian-related genetic variants. Until further mechanistic examination of the nominally significant interactions is conducted, recommendations applicable to the general population regarding diet{\textemdash}specifically higher carbohydrate and lower fat composition{\textemdash}and normal sleep duration should continue to be emphasized among individuals with the investigated circadian-related gene variants.

}, keywords = {Adult, Alleles, Blood Glucose, Circadian Rhythm Signaling Peptides and Proteins, Cohort Studies, Diabetes Mellitus, Type 2, Diet, Fat-Restricted, European Continental Ancestry Group, Fasting, Female, Gene-Environment Interaction, Humans, Insulin Resistance, Male, Middle Aged, Multicenter Studies as Topic, Observational Studies as Topic, Phenotype, Polymorphism, Single Nucleotide, Sleep, Waist Circumference}, issn = {1935-5548}, doi = {10.2337/dc14-2709}, author = {Dashti, Hassan S and Follis, Jack L and Smith, Caren E and Tanaka, Toshiko and Garaulet, Marta and Gottlieb, Daniel J and Hruby, Adela and Jacques, Paul F and Kiefte-de Jong, Jessica C and Lamon-Fava, Stefania and Scheer, Frank A J L and Bartz, Traci M and Kovanen, Leena and Wojczynski, Mary K and Frazier-Wood, Alexis C and Ahluwalia, Tarunveer S and Per{\"a}l{\"a}, Mia-Maria and Jonsson, Anna and Muka, Taulant and Kalafati, Ioanna P and Mikkil{\"a}, Vera and Ordovas, Jose M} } @article {6602, title = {Generalized estimating equations for genome-wide association studies using longitudinal phenotype data.}, journal = {Stat Med}, volume = {34}, year = {2015}, month = {2015 Jan 15}, pages = {118-30}, abstract = {

Many longitudinal cohort studies have both genome-wide measures of genetic variation and repeated measures of phenotypes and environmental exposures. Genome-wide association study analyses have typically used only cross-sectional data to evaluate quantitative phenotypes and binary traits. Incorporation of repeated measures may increase power to detect associations, but also requires specialized analysis methods. Here, we discuss one such method-generalized estimating equations (GEE)-in the contexts of analysis of main effects of rare genetic variants and analysis of gene-environment interactions. We illustrate the potential for increased power using GEE analyses instead of cross-sectional analyses. We also address challenges that arise, such as the need for small-sample corrections when the minor allele frequency of a genetic variant and/or the prevalence of an environmental exposure is low. To illustrate methods for detection of gene-drug interactions on a genome-wide scale, using repeated measures data, we conduct single-study analyses and meta-analyses across studies in three large cohort studies participating in the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium-the Atherosclerosis Risk in Communities study, the Cardiovascular Health Study, and the Rotterdam Study.

}, keywords = {Aged, Aging, Cardiovascular Diseases, Cohort Studies, Computer Simulation, Cross-Sectional Studies, Epidemiologic Research Design, Gene-Environment Interaction, Genetic Variation, Genome, Human, Genome-Wide Association Study, Humans, Longitudinal Studies, Meta-Analysis as Topic, Models, Genetic, Pharmacogenetics, Risk Assessment, United States}, issn = {1097-0258}, doi = {10.1002/sim.6323}, author = {Sitlani, Colleen M and Rice, Kenneth M and Lumley, Thomas and McKnight, Barbara and Cupples, L Adrienne and Avery, Christy L and Noordam, Raymond and Stricker, Bruno H C and Whitsel, Eric A and Psaty, Bruce M} } @article {6818, title = {Genes from a translational analysis support a multifactorial nature of white matter hyperintensities.}, journal = {Stroke}, volume = {46}, year = {2015}, month = {2015 Feb}, pages = {341-7}, abstract = {

BACKGROUND AND PURPOSE: White matter hyperintensities (WMH) of presumed vascular origin increase the risk of stroke and dementia. Despite strong WMH heritability, few gene associations have been identified. Relevant experimental models may be informative.

METHODS: We tested the associations between genes that were differentially expressed in brains of young spontaneously hypertensive stroke-prone rats and human WMH (using volume and visual score) in 621 subjects from the Lothian Birth Cohort 1936 (LBC1936). We then attempted replication in 9361 subjects from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE). We also tested the subjects from LBC1936 for previous genome-wide WMH associations found in subjects from CHARGE.

RESULTS: Of 126 spontaneously hypertensive stroke-prone rat genes, 10 were nominally associated with WMH volume or score in subjects from LBC1936, of which 5 (AFP, ALB, GNAI1, RBM8a, and MRPL18) were associated with both WMH volume and score (P<0.05); 2 of the 10 (XPNPEP1, P=6.7{\texttimes}10(-5); FARP1, P=0.024) plus another spontaneously hypertensive stroke-prone rat gene (USMG5, P=0.00014), on chromosomes 10, 13, and 10 respectively, were associated with WMH in subjects from CHARGE. Gene set enrichment showed significant associations for downregulated spontaneously hypertensive stroke-prone rat genes with WMH in humans. In subjects from LBC1936, we replicated CHARGE{\textquoteright}s genome-wide WMH associations on chromosomes 17 (TRIM65 and TRIM47) and, for the first time, 1 (PMF1).

CONCLUSIONS: Despite not passing multiple testing thresholds individually, these genes collectively are relevant to known WMH associations, proposed WMH mechanisms, or dementia: associations with Alzheimer{\textquoteright}s disease, late-life depression, ATP production, osmotic regulation, neurodevelopmental abnormalities, and cognitive impairment. If replicated further, they suggest a multifactorial nature for WMH and argue for more consideration of vascular contributions to dementia.

}, keywords = {Aged, Alzheimer Disease, Animals, Brain, Causality, Dementia, Female, Genome-Wide Association Study, Humans, Leukoencephalopathies, Male, Polymorphism, Single Nucleotide, Rats, Rats, Inbred SHR, Rats, Wistar, Risk Factors, Translational Medical Research, White Matter}, issn = {1524-4628}, doi = {10.1161/STROKEAHA.114.007649}, author = {Lopez, Lorna M and Hill, W David and Harris, Sarah E and Valdes Hernandez, Maria and Munoz Maniega, Susana and Bastin, Mark E and Bailey, Emma and Smith, Colin and McBride, Martin and McClure, John and Graham, Delyth and Dominiczak, Anna and Yang, Qiong and Fornage, Myriam and Ikram, M Arfan and Debette, Stephanie and Launer, Lenore and Bis, Joshua C and Schmidt, Reinhold and Seshadri, Sudha and Porteous, David J and Starr, John and Deary, Ian J and Wardlaw, Joanna M} } @article {6816, title = {Genetic contributions to variation in general cognitive function: a meta-analysis of genome-wide association studies in the CHARGE consortium (N=53949).}, journal = {Mol Psychiatry}, volume = {20}, year = {2015}, month = {2015 Feb}, pages = {183-92}, abstract = {

General cognitive function is substantially heritable across the human life course from adolescence to old age. We investigated the genetic contribution to variation in this important, health- and well-being-related trait in middle-aged and older adults. We conducted a meta-analysis of genome-wide association studies of 31 cohorts (N=53,949) in which the participants had undertaken multiple, diverse cognitive tests. A general cognitive function phenotype was tested for, and created in each cohort by principal component analysis. We report 13 genome-wide significant single-nucleotide polymorphism (SNP) associations in three genomic regions, 6q16.1, 14q12 and 19q13.32 (best SNP and closest gene, respectively: rs10457441, P=3.93 {\texttimes} 10(-9), MIR2113; rs17522122, P=2.55 {\texttimes} 10(-8), AKAP6; rs10119, P=5.67 {\texttimes} 10(-9), APOE/TOMM40). We report one gene-based significant association with the HMGN1 gene located on chromosome 21 (P=1 {\texttimes} 10(-6)). These genes have previously been associated with neuropsychiatric phenotypes. Meta-analysis results are consistent with a polygenic model of inheritance. To estimate SNP-based heritability, the genome-wide complex trait analysis procedure was applied to two large cohorts, the Atherosclerosis Risk in Communities Study (N=6617) and the Health and Retirement Study (N=5976). The proportion of phenotypic variation accounted for by all genotyped common SNPs was 29\% (s.e.=5\%) and 28\% (s.e.=7\%), respectively. Using polygenic prediction analysis, ~1.2\% of the variance in general cognitive function was predicted in the Generation Scotland cohort (N=5487; P=1.5 {\texttimes} 10(-17)). In hypothesis-driven tests, there was significant association between general cognitive function and four genes previously associated with Alzheimer{\textquoteright}s disease: TOMM40, APOE, ABCG1 and MEF2C.

}, keywords = {Aged, Aged, 80 and over, Atherosclerosis, Cognition, Cognition Disorders, Cohort Studies, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, HMGN1 Protein, Humans, Male, Middle Aged, Neuropsychological Tests, Phenotype, Polymorphism, Single Nucleotide, Scotland}, issn = {1476-5578}, doi = {10.1038/mp.2014.188}, author = {Davies, G and Armstrong, N and Bis, J C and Bressler, J and Chouraki, V and Giddaluru, S and Hofer, E and Ibrahim-Verbaas, C A and Kirin, M and Lahti, J and van der Lee, S J and Le Hellard, S and Liu, T and Marioni, R E and Oldmeadow, C and Postmus, I and Smith, A V and Smith, J A and Thalamuthu, A and Thomson, R and Vitart, V and Wang, J and Yu, L and Zgaga, L and Zhao, W and Boxall, R and Harris, S E and Hill, W D and Liewald, D C and Luciano, M and Adams, H and Ames, D and Amin, N and Amouyel, P and Assareh, A A and Au, R and Becker, J T and Beiser, A and Berr, C and Bertram, L and Boerwinkle, E and Buckley, B M and Campbell, H and Corley, J and De Jager, P L and Dufouil, C and Eriksson, J G and Espeseth, T and Faul, J D and Ford, I and Gottesman, R F and Griswold, M E and Gudnason, V and Harris, T B and Heiss, G and Hofman, A and Holliday, E G and Huffman, J and Kardia, S L R and Kochan, N and Knopman, D S and Kwok, J B and Lambert, J-C and Lee, T and Li, G and Li, S-C and Loitfelder, M and Lopez, O L and Lundervold, A J and Lundqvist, A and Mather, K A and Mirza, S S and Nyberg, L and Oostra, B A and Palotie, A and Papenberg, G and Pattie, A and Petrovic, K and Polasek, O and Psaty, B M and Redmond, P and Reppermund, S and Rotter, J I and Schmidt, H and Schuur, M and Schofield, P W and Scott, R J and Steen, V M and Stott, D J and van Swieten, J C and Taylor, K D and Trollor, J and Trompet, S and Uitterlinden, A G and Weinstein, G and Widen, E and Windham, B G and Jukema, J W and Wright, A F and Wright, M J and Yang, Q and Amieva, H and Attia, J R and Bennett, D A and Brodaty, H and de Craen, A J M and Hayward, C and Ikram, M A and Lindenberger, U and Nilsson, L-G and Porteous, D J and R{\"a}ikk{\"o}nen, K and Reinvang, I and Rudan, I and Sachdev, P S and Schmidt, R and Schofield, P R and Srikanth, V and Starr, J M and Turner, S T and Weir, D R and Wilson, J F and van Duijn, C and Launer, L and Fitzpatrick, A L and Seshadri, S and Mosley, T H and Deary, I J} } @article {6615, title = {Genetic loci associated with circulating levels of very long-chain saturated fatty acids.}, journal = {J Lipid Res}, volume = {56}, year = {2015}, month = {2015 Jan}, pages = {176-84}, abstract = {

Very long-chain saturated fatty acids (VLSFAs) are saturated fatty acids with 20 or more carbons. In contrast to the more abundant saturated fatty acids, such as palmitic acid, there is growing evidence that circulating VLSFAs may have beneficial biological properties. Whether genetic factors influence circulating levels of VLSFAs is not known. We investigated the association of common genetic variation with plasma phospholipid/erythrocyte levels of three VLSFAs by performing genome-wide association studies in seven population-based cohorts comprising 10,129 subjects of European ancestry. We observed associations of circulating VLSFA concentrations with common variants in two genes, serine palmitoyl-transferase long-chain base subunit 3 (SPTLC3), a gene involved in the rate-limiting step of de novo sphingolipid synthesis, and ceramide synthase 4 (CERS4). The SPTLC3 variant at rs680379 was associated with higher arachidic acid (20:0 , P = 5.81 {\texttimes} 10(-13)). The CERS4 variant at rs2100944 was associated with higher levels of 20:0 (P = 2.65 {\texttimes} 10(-40)) and in analyses that adjusted for 20:0, with lower levels of behenic acid (P = 4.22 {\texttimes} 10(-26)) and lignoceric acid (P = 3.20 {\texttimes} 10(-21)). These novel associations suggest an inter-relationship of circulating VLSFAs and sphingolipid synthesis.

}, keywords = {Cohort Studies, Fatty Acids, Genetic Loci, Genetic Variation, Genome-Wide Association Study, Humans}, issn = {1539-7262}, doi = {10.1194/jlr.M052456}, author = {Lemaitre, Rozenn N and King, Irena B and Kabagambe, Edmond K and Wu, Jason H Y and McKnight, Barbara and Manichaikul, Ani and Guan, Weihua and Sun, Qi and Chasman, Daniel I and Foy, Millennia and Wang, Lu and Zhu, Jingwen and Siscovick, David S and Tsai, Michael Y and Arnett, Donna K and Psaty, Bruce M and Djouss{\'e}, Luc and Chen, Yii-der I and Tang, Weihong and Weng, Lu-Chen and Wu, Hongyu and Jensen, Majken K and Chu, Audrey Y and Jacobs, David R and Rich, Stephen S and Mozaffarian, Dariush and Steffen, Lyn and Rimm, Eric B and Hu, Frank B and Ridker, Paul M and Fornage, Myriam and Friedlander, Yechiel} } @article {6685, title = {Genetic loci associated with circulating phospholipid trans fatty acids: a meta-analysis of genome-wide association studies from the CHARGE Consortium.}, journal = {Am J Clin Nutr}, volume = {101}, year = {2015}, month = {2015 Feb}, pages = {398-406}, abstract = {

BACKGROUND: Circulating trans fatty acids (TFAs), which cannot be synthesized by humans, are linked to adverse health outcomes. Although TFAs are obtained from diet, little is known about subsequent influences (e.g., relating to incorporation, metabolism, or intercompetition with other fatty acids) that could alter circulating concentrations and possibly modulate or mediate impacts on health.

OBJECTIVE: The objective was to elucidate novel biologic pathways that may influence circulating TFAs by evaluating associations between common genetic variation and TFA biomarkers.

DESIGN: We performed meta-analyses using 7 cohorts of European-ancestry participants (n = 8013) having measured genome-wide variation in single-nucleotide polymorphisms (SNPs) and circulating TFA biomarkers (erythrocyte or plasma phospholipids), including trans-16:1n-7, total trans-18:1, trans/cis-18:2, cis/trans-18:2, and trans/trans-18:2. We further evaluated SNPs with genome-wide significant associations among African Americans (n = 1082), Chinese Americans (n = 669), and Hispanic Americans (n = 657) from 2 of these cohorts.

RESULTS: Among European-ancestry participants, 31 SNPs in or near the fatty acid desaturase (FADS) 1 and 2 cluster were associated with cis/trans-18:2; a top hit was rs174548 (β = 0.0035, P = 4.90 {\texttimes} 10(-15)), an SNP previously associated with circulating n-3 and n-6 polyunsaturated fatty acid concentrations. No significant association was identified for other TFAs. rs174548 in FADS1/2 was also associated with cis/trans-18:2 in Hispanic Americans (β = 0.0053, P = 1.05 {\texttimes} 10(-6)) and Chinese Americans (β = 0.0028, P = 0.002) but not African Americans (β = 0.0009, P = 0.34); however, in African Americans, fine mapping identified a top hit in FADS2 associated with cis/trans-18:2 (rs174579: β = 0.0118, P = 4.05 {\texttimes} 10(-5)). The association between rs174548 and cis/trans-18:2 remained significant after further adjustment for individual circulating n-3 and n-6 fatty acids, except arachidonic acid. After adjustment for arachidonic acid concentrations, the association between rs174548 and cis/trans-18:2 was nearly eliminated in European-ancestry participants (β-coefficient reduced by 86\%), with similar reductions in Hispanic Americans and Chinese Americans.

CONCLUSIONS: Our findings provide novel evidence for genetic regulation of cis/trans-18:2 by the FADS1/2 cluster and suggest that this regulation may be influenced/mediated by concentrations of arachidonic acid, an n-6 polyunsaturated fat.

}, keywords = {African Americans, Arachidonic Acid, Asian Americans, Biomarkers, European Continental Ancestry Group, Fatty Acids, Omega-6, Gene Frequency, Genetic Association Studies, Genetic Loci, Genotyping Techniques, Humans, Phospholipids, Polymorphism, Single Nucleotide, Trans Fatty Acids}, issn = {1938-3207}, doi = {10.3945/ajcn.114.094557}, author = {Mozaffarian, Dariush and Kabagambe, Edmond K and Johnson, Catherine O and Lemaitre, Rozenn N and Manichaikul, Ani and Sun, Qi and Foy, Millennia and Wang, Lu and Wiener, Howard and Irvin, Marguerite R and Rich, Stephen S and Wu, Hongyu and Jensen, Majken K and Chasman, Daniel I and Chu, Audrey Y and Fornage, Myriam and Steffen, Lyn and King, Irena B and McKnight, Barbara and Psaty, Bruce M and Djouss{\'e}, Luc and Chen, Ida Y-D and Wu, Jason H Y and Siscovick, David S and Ridker, Paul M and Tsai, Michael Y and Rimm, Eric B and Hu, Frank B and Arnett, Donna K} } @article {6688, title = {Genetic overlap between diagnostic subtypes of ischemic stroke.}, journal = {Stroke}, volume = {46}, year = {2015}, month = {2015 Mar}, pages = {615-9}, abstract = {

BACKGROUND AND PURPOSE: Despite moderate heritability, the phenotypic heterogeneity of ischemic stroke has hampered gene discovery, motivating analyses of diagnostic subtypes with reduced sample sizes. We assessed evidence for a shared genetic basis among the 3 major subtypes: large artery atherosclerosis (LAA), cardioembolism, and small vessel disease (SVD), to inform potential cross-subtype analyses.

METHODS: Analyses used genome-wide summary data for 12 389 ischemic stroke cases (including 2167 LAA, 2405 cardioembolism, and 1854 SVD) and 62 004 controls from the Metastroke consortium. For 4561 cases and 7094 controls, individual-level genotype data were also available. Genetic correlations between subtypes were estimated using linear mixed models and polygenic profile scores. Meta-analysis of a combined LAA-SVD phenotype (4021 cases and 51 976 controls) was performed to identify shared risk alleles.

RESULTS: High genetic correlation was identified between LAA and SVD using linear mixed models (rg=0.96, SE=0.47, P=9{\texttimes}10(-4)) and profile scores (rg=0.72; 95\% confidence interval, 0.52-0.93). Between LAA and cardioembolism and SVD and cardioembolism, correlation was moderate using linear mixed models but not significantly different from zero for profile scoring. Joint meta-analysis of LAA and SVD identified strong association (P=1{\texttimes}10(-7)) for single nucleotide polymorphisms near the opioid receptor μ1 (OPRM1) gene.

CONCLUSIONS: Our results suggest that LAA and SVD, which have been hitherto treated as genetically distinct, may share a substantial genetic component. Combined analyses of LAA and SVD may increase power to identify small-effect alleles influencing shared pathophysiological processes.

}, keywords = {Alleles, Atherosclerosis, Cerebral Small Vessel Diseases, Cohort Studies, Data Interpretation, Statistical, Embolism, Genome-Wide Association Study, Genotype, Humans, Ischemia, Linear Models, Meta-Analysis as Topic, Phenotype, Polymorphism, Single Nucleotide, Stroke}, issn = {1524-4628}, doi = {10.1161/STROKEAHA.114.007930}, author = {Holliday, Elizabeth G and Traylor, Matthew and Malik, Rainer and Bevan, Steve and Falcone, Guido and Hopewell, Jemma C and Cheng, Yu-Ching and Cotlarciuc, Ioana and Bis, Joshua C and Boerwinkle, Eric and Boncoraglio, Giorgio B and Clarke, Robert and Cole, John W and Fornage, Myriam and Furie, Karen L and Ikram, M Arfan and Jannes, Jim and Kittner, Steven J and Lincz, Lisa F and Maguire, Jane M and Meschia, James F and Mosley, Thomas H and Nalls, Mike A and Oldmeadow, Christopher and Parati, Eugenio A and Psaty, Bruce M and Rothwell, Peter M and Seshadri, Sudha and Scott, Rodney J and Sharma, Pankaj and Sudlow, Cathie and Wiggins, Kerri L and Worrall, Bradford B and Rosand, Jonathan and Mitchell, Braxton D and Dichgans, Martin and Markus, Hugh S and Levi, Christopher and Attia, John and Wray, Naomi R} } @article {6682, title = {Genome of The Netherlands population-specific imputations identify an ABCA6 variant associated with cholesterol levels.}, journal = {Nat Commun}, volume = {6}, year = {2015}, month = {2015}, pages = {6065}, abstract = {

Variants associated with blood lipid levels may be population-specific. To identify low-frequency variants associated with this phenotype, population-specific reference panels may be used. Here we impute nine large Dutch biobanks (~35,000 samples) with the population-specific reference panel created by the Genome of The Netherlands Project and perform association testing with blood lipid levels. We report the discovery of five novel associations at four loci (P value <6.61 {\texttimes} 10(-4)), including a rare missense variant in ABCA6 (rs77542162, p.Cys1359Arg, frequency 0.034), which is predicted to be deleterious. The frequency of this ABCA6 variant is 3.65-fold increased in the Dutch and its effect (βLDL-C=0.135, βTC=0.140) is estimated to be very similar to those observed for single variants in well-known lipid genes, such as LDLR.

}, keywords = {ATP-Binding Cassette Transporters, Cholesterol, Gene Frequency, Genetic Association Studies, Humans, Mutation, Missense, Netherlands}, issn = {2041-1723}, doi = {10.1038/ncomms7065}, author = {van Leeuwen, Elisabeth M and Karssen, Lennart C and Deelen, Joris and Isaacs, Aaron and Medina-G{\'o}mez, Carolina and Mbarek, Hamdi and Kanterakis, Alexandros and Trompet, Stella and Postmus, Iris and Verweij, Niek and van Enckevort, David J and Huffman, Jennifer E and White, Charles C and Feitosa, Mary F and Bartz, Traci M and Manichaikul, Ani and Joshi, Peter K and Peloso, Gina M and Deelen, Patrick and van Dijk, Freerk and Willemsen, Gonneke and de Geus, Eco J and Milaneschi, Yuri and Penninx, Brenda W J H and Francioli, Laurent C and Menelaou, Androniki and Pulit, Sara L and Rivadeneira, Fernando and Hofman, Albert and Oostra, Ben A and Franco, Oscar H and Mateo Leach, Irene and Beekman, Marian and de Craen, Anton J M and Uh, Hae-Won and Trochet, Holly and Hocking, Lynne J and Porteous, David J and Sattar, Naveed and Packard, Chris J and Buckley, Brendan M and Brody, Jennifer A and Bis, Joshua C and Rotter, Jerome I and Mychaleckyj, Josyf C and Campbell, Harry and Duan, Qing and Lange, Leslie A and Wilson, James F and Hayward, Caroline and Polasek, Ozren and Vitart, Veronique and Rudan, Igor and Wright, Alan F and Rich, Stephen S and Psaty, Bruce M and Borecki, Ingrid B and Kearney, Patricia M and Stott, David J and Adrienne Cupples, L and Jukema, J Wouter and van der Harst, Pim and Sijbrands, Eric J and Hottenga, Jouke-Jan and Uitterlinden, Andr{\'e} G and Swertz, Morris A and van Ommen, Gert-Jan B and de Bakker, Paul I W and Eline Slagboom, P and Boomsma, Dorret I and Wijmenga, Cisca and van Duijn, Cornelia M} } @article {6703, title = {Genome-Wide Association Study and Linkage Analysis of the Healthy Aging Index.}, journal = {J Gerontol A Biol Sci Med Sci}, volume = {70}, year = {2015}, month = {2015 Aug}, pages = {1003-8}, abstract = {

BACKGROUND: The Healthy Aging Index (HAI) is a tool for measuring the extent of health and disease across multiple systems.

METHODS: We conducted a genome-wide association study and a genome-wide linkage analysis to map quantitative trait loci associated with the HAI and a modified HAI weighted for mortality risk in 3,140 individuals selected for familial longevity from the Long Life Family Study. The genome-wide association study used the Long Life Family Study as the discovery cohort and individuals from the Cardiovascular Health Study and the Framingham Heart Study as replication cohorts.

RESULTS: There were no genome-wide significant findings from the genome-wide association study; however, several single-nucleotide polymorphisms near ZNF704 on chromosome 8q21.13 were suggestively associated with the HAI in the Long Life Family Study (p < 10(-) (6)) and nominally replicated in the Cardiovascular Health Study and Framingham Heart Study. Linkage results revealed significant evidence (log-odds score = 3.36) for a quantitative trait locus for mortality-optimized HAI in women on chromosome 9p24-p23. However, results of fine-mapping studies did not implicate any specific candidate genes within this region of interest.

CONCLUSIONS: ZNF704 may be a potential candidate gene for studies of the genetic underpinnings of longevity.

}, keywords = {Aging, Apolipoproteins E, Forkhead Transcription Factors, Genetic Linkage, Genome-Wide Association Study, Humans, Longevity, Polymorphism, Single Nucleotide, Quantitative Trait Loci}, issn = {1758-535X}, doi = {10.1093/gerona/glv006}, author = {Minster, Ryan L and Sanders, Jason L and Singh, Jatinder and Kammerer, Candace M and Barmada, M Michael and Matteini, Amy M and Zhang, Qunyuan and Wojczynski, Mary K and Daw, E Warwick and Brody, Jennifer A and Arnold, Alice M and Lunetta, Kathryn L and Murabito, Joanne M and Christensen, Kaare and Perls, Thomas T and Province, Michael A and Newman, Anne B} } @article {6606, title = {Genome-wide meta-analysis identifies six novel loci associated with habitual coffee consumption.}, journal = {Mol Psychiatry}, volume = {20}, year = {2015}, month = {2015 May}, pages = {647-56}, abstract = {

Coffee, a major dietary source of caffeine, is among the most widely consumed beverages in the world and has received considerable attention regarding health risks and benefits. We conducted a genome-wide (GW) meta-analysis of predominately regular-type coffee consumption (cups per day) among up to 91,462 coffee consumers of European ancestry with top single-nucleotide polymorphisms (SNPs) followed-up in ~30 062 and 7964 coffee consumers of European and African-American ancestry, respectively. Studies from both stages were combined in a trans-ethnic meta-analysis. Confirmed loci were examined for putative functional and biological relevance. Eight loci, including six novel loci, met GW significance (log10Bayes factor (BF)>5.64) with per-allele effect sizes of 0.03-0.14 cups per day. Six are located in or near genes potentially involved in pharmacokinetics (ABCG2, AHR, POR and CYP1A2) and pharmacodynamics (BDNF and SLC6A4) of caffeine. Two map to GCKR and MLXIPL genes related to metabolic traits but lacking known roles in coffee consumption. Enhancer and promoter histone marks populate the regions of many confirmed loci and several potential regulatory SNPs are highly correlated with the lead SNP of each. SNP alleles near GCKR, MLXIPL, BDNF and CYP1A2 that were associated with higher coffee consumption have previously been associated with smoking initiation, higher adiposity and fasting insulin and glucose but lower blood pressure and favorable lipid, inflammatory and liver enzyme profiles (P<5 {\texttimes} 10(-8)).Our genetic findings among European and African-American adults reinforce the role of caffeine in mediating habitual coffee consumption and may point to molecular mechanisms underlying inter-individual variability in pharmacological and health effects of coffee.

}, keywords = {Adaptor Proteins, Signal Transducing, Basic Helix-Loop-Helix Leucine Zipper Transcription Factors, Brain-Derived Neurotrophic Factor, Coffea, Cytochrome P-450 CYP1A2, Food Habits, Genome-Wide Association Study, Humans, Phenotype, Polymorphism, Single Nucleotide}, issn = {1476-5578}, doi = {10.1038/mp.2014.107}, author = {Cornelis, M C and Byrne, E M and Esko, T and Nalls, M A and Ganna, A and Paynter, N and Monda, K L and Amin, N and Fischer, K and Renstrom, F and Ngwa, J S and Huikari, V and Cavadino, A and Nolte, I M and Teumer, A and Yu, K and Marques-Vidal, P and Rawal, R and Manichaikul, A and Wojczynski, M K and Vink, J M and Zhao, J H and Burlutsky, G and Lahti, J and Mikkil{\"a}, V and Lemaitre, R N and Eriksson, J and Musani, S K and Tanaka, T and Geller, F and Luan, J and Hui, J and M{\"a}gi, R and Dimitriou, M and Garcia, M E and Ho, W-K and Wright, M J and Rose, L M and Magnusson, P K E and Pedersen, N L and Couper, D and Oostra, B A and Hofman, A and Ikram, M A and Tiemeier, H W and Uitterlinden, A G and van Rooij, F J A and Barroso, I and Johansson, I and Xue, L and Kaakinen, M and Milani, L and Power, C and Snieder, H and Stolk, R P and Baumeister, S E and Biffar, R and Gu, F and Bastardot, F and Kutalik, Z and Jacobs, D R and Forouhi, N G and Mihailov, E and Lind, L and Lindgren, C and Micha{\"e}lsson, K and Morris, A and Jensen, M and Khaw, K-T and Luben, R N and Wang, J J and M{\"a}nnist{\"o}, S and Per{\"a}l{\"a}, M-M and K{\"a}h{\"o}nen, M and Lehtim{\"a}ki, T and Viikari, J and Mozaffarian, D and Mukamal, K and Psaty, B M and D{\"o}ring, A and Heath, A C and Montgomery, G W and Dahmen, N and Carithers, T and Tucker, K L and Ferrucci, L and Boyd, H A and Melbye, M and Treur, J L and Mellstr{\"o}m, D and Hottenga, J J and Prokopenko, I and T{\"o}njes, A and Deloukas, P and Kanoni, S and Lorentzon, M and Houston, D K and Liu, Y and Danesh, J and Rasheed, A and Mason, M A and Zonderman, A B and Franke, L and Kristal, B S and Karjalainen, J and Reed, D R and Westra, H-J and Evans, M K and Saleheen, D and Harris, T B and Dedoussis, G and Curhan, G and Stumvoll, M and Beilby, J and Pasquale, L R and Feenstra, B and Bandinelli, S and Ordov{\'a}s, J M and Chan, A T and Peters, U and Ohlsson, C and Gieger, C and Martin, N G and Waldenberger, M and Siscovick, D S and Raitakari, O and Eriksson, J G and Mitchell, P and Hunter, D J and Kraft, P and Rimm, E B and Boomsma, D I and Borecki, I B and Loos, R J F and Wareham, N J and Vollenweider, P and Caporaso, N and Grabe, H J and Neuhouser, M L and Wolffenbuttel, B H R and Hu, F B and Hypponen, E and J{\"a}rvelin, M-R and Cupples, L A and Franks, P W and Ridker, P M and van Duijn, C M and Heiss, G and Metspalu, A and North, K E and Ingelsson, E and Nettleton, J A and van Dam, R M and Chasman, D I} } @article {6684, title = {Genome-wide studies of verbal declarative memory in nondemented older people: the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium.}, journal = {Biol Psychiatry}, volume = {77}, year = {2015}, month = {2015 Apr 15}, pages = {749-63}, abstract = {

BACKGROUND: Memory performance in older persons can reflect genetic influences on cognitive function and dementing processes. We aimed to identify genetic contributions to verbal declarative memory in a community setting.

METHODS: We conducted genome-wide association studies for paragraph or word list delayed recall in 19 cohorts from the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium, comprising 29,076 dementia- and stroke-free individuals of European descent, aged >=45 years. Replication of suggestive associations (p < 5 {\texttimes} 10(-6)) was sought in 10,617 participants of European descent, 3811 African-Americans, and 1561 young adults.

RESULTS: rs4420638, near APOE, was associated with poorer delayed recall performance in discovery (p = 5.57 {\texttimes} 10(-10)) and replication cohorts (p = 5.65 {\texttimes} 10(-8)). This association was stronger for paragraph than word list delayed recall and in the oldest persons. Two associations with specific tests, in subsets of the total sample, reached genome-wide significance in combined analyses of discovery and replication (rs11074779 [HS3ST4], p = 3.11 {\texttimes} 10(-8), and rs6813517 [SPOCK3], p = 2.58 {\texttimes} 10(-8)) near genes involved in immune response. A genetic score combining 58 independent suggestive memory risk variants was associated with increasing Alzheimer disease pathology in 725 autopsy samples. Association of memory risk loci with gene expression in 138 human hippocampus samples showed cis-associations with WDR48 and CLDN5, both related to ubiquitin metabolism.

CONCLUSIONS: This largest study to date exploring the genetics of memory function in ~40,000 older individuals revealed genome-wide associations and suggested an involvement of immune and ubiquitin pathways.

}, keywords = {Aged, Aged, 80 and over, Aging, Apolipoproteins E, Claudin-5, Cohort Studies, Female, Genome-Wide Association Study, Genotype, Humans, Male, Memory Disorders, Middle Aged, Polymorphism, Single Nucleotide, Proteins, Proteoglycans, Regression Analysis, Sulfotransferases, Verbal Learning}, issn = {1873-2402}, doi = {10.1016/j.biopsych.2014.08.027}, author = {Debette, Stephanie and Ibrahim Verbaas, Carla A and Bressler, Jan and Schuur, Maaike and Smith, Albert and Bis, Joshua C and Davies, Gail and Wolf, Christiane and Gudnason, Vilmundur and Chibnik, Lori B and Yang, Qiong and DeStefano, Anita L and de Quervain, Dominique J F and Srikanth, Velandai and Lahti, Jari and Grabe, Hans J and Smith, Jennifer A and Priebe, Lutz and Yu, Lei and Karbalai, Nazanin and Hayward, Caroline and Wilson, James F and Campbell, Harry and Petrovic, Katja and Fornage, Myriam and Chauhan, Ganesh and Yeo, Robin and Boxall, Ruth and Becker, James and Stegle, Oliver and Mather, Karen A and Chouraki, Vincent and Sun, Qi and Rose, Lynda M and Resnick, Susan and Oldmeadow, Christopher and Kirin, Mirna and Wright, Alan F and Jonsdottir, Maria K and Au, Rhoda and Becker, Albert and Amin, Najaf and Nalls, Mike A and Turner, Stephen T and Kardia, Sharon L R and Oostra, Ben and Windham, Gwen and Coker, Laura H and Zhao, Wei and Knopman, David S and Heiss, Gerardo and Griswold, Michael E and Gottesman, Rebecca F and Vitart, Veronique and Hastie, Nicholas D and Zgaga, Lina and Rudan, Igor and Polasek, Ozren and Holliday, Elizabeth G and Schofield, Peter and Choi, Seung Hoan and Tanaka, Toshiko and An, Yang and Perry, Rodney T and Kennedy, Richard E and Sale, Mich{\`e}le M and Wang, Jing and Wadley, Virginia G and Liewald, David C and Ridker, Paul M and Gow, Alan J and Pattie, Alison and Starr, John M and Porteous, David and Liu, Xuan and Thomson, Russell and Armstrong, Nicola J and Eiriksdottir, Gudny and Assareh, Arezoo A and Kochan, Nicole A and Widen, Elisabeth and Palotie, Aarno and Hsieh, Yi-Chen and Eriksson, Johan G and Vogler, Christian and van Swieten, John C and Shulman, Joshua M and Beiser, Alexa and Rotter, Jerome and Schmidt, Carsten O and Hoffmann, Wolfgang and N{\"o}then, Markus M and Ferrucci, Luigi and Attia, John and Uitterlinden, Andr{\'e} G and Amouyel, Philippe and Dartigues, Jean-Fran{\c c}ois and Amieva, H{\'e}l{\`e}ne and R{\"a}ikk{\"o}nen, Katri and Garcia, Melissa and Wolf, Philip A and Hofman, Albert and Longstreth, W T and Psaty, Bruce M and Boerwinkle, Eric and DeJager, Philip L and Sachdev, Perminder S and Schmidt, Reinhold and Breteler, Monique M B and Teumer, Alexander and Lopez, Oscar L and Cichon, Sven and Chasman, Daniel I and Grodstein, Francine and M{\"u}ller-Myhsok, Bertram and Tzourio, Christophe and Papassotiropoulos, Andreas and Bennett, David A and Ikram, M Arfan and Deary, Ian J and van Duijn, Cornelia M and Launer, Lenore and Fitzpatrick, Annette L and Seshadri, Sudha and Mosley, Thomas H} } @article {6550, title = {GWAS of longevity in CHARGE consortium confirms APOE and FOXO3 candidacy.}, journal = {J Gerontol A Biol Sci Med Sci}, volume = {70}, year = {2015}, month = {2015 Jan}, pages = {110-8}, abstract = {

BACKGROUND: The genetic contribution to longevity in humans has been estimated to range from 15\% to 25\%. Only two genes, APOE and FOXO3, have shown association with longevity in multiple independent studies.

METHODS: We conducted a meta-analysis of genome-wide association studies including 6,036 longevity cases, age >=90 years, and 3,757 controls that died between ages 55 and 80 years. We additionally attempted to replicate earlier identified single nucleotide polymorphism (SNP) associations with longevity.

RESULTS: In our meta-analysis, we found suggestive evidence for the association of SNPs near CADM2 (odds ratio [OR] = 0.81; p value = 9.66 {\texttimes} 10(-7)) and GRIK2 (odds ratio = 1.24; p value = 5.09 {\texttimes} 10(-8)) with longevity. When attempting to replicate findings earlier identified in genome-wide association studies, only the APOE locus consistently replicated. In an additional look-up of the candidate gene FOXO3, we found that an earlier identified variant shows a highly significant association with longevity when including published data with our meta-analysis (odds ratio = 1.17; p value = 1.85{\texttimes}10(-10)).

CONCLUSIONS: We did not identify new genome-wide significant associations with longevity and did not replicate earlier findings except for APOE and FOXO3. Our inability to find new associations with survival to ages >=90 years because longevity represents multiple complex traits with heterogeneous genetic underpinnings, or alternatively, that longevity may be regulated by rare variants that are not captured by standard genome-wide genotyping and imputation of common variants.

}, keywords = {Aged, Aged, 80 and over, Apolipoproteins E, Cell Adhesion Molecules, Cohort Studies, Female, Forkhead Box Protein O3, Forkhead Transcription Factors, Genome-Wide Association Study, Humans, Longevity, Male, Middle Aged, Polymorphism, Single Nucleotide, Receptors, Kainic Acid}, issn = {1758-535X}, doi = {10.1093/gerona/glu166}, author = {Broer, Linda and Buchman, Aron S and Deelen, Joris and Evans, Daniel S and Faul, Jessica D and Lunetta, Kathryn L and Sebastiani, Paola and Smith, Jennifer A and Smith, Albert V and Tanaka, Toshiko and Yu, Lei and Arnold, Alice M and Aspelund, Thor and Benjamin, Emelia J and De Jager, Philip L and Eirkisdottir, Gudny and Evans, Denis A and Garcia, Melissa E and Hofman, Albert and Kaplan, Robert C and Kardia, Sharon L R and Kiel, Douglas P and Oostra, Ben A and Orwoll, Eric S and Parimi, Neeta and Psaty, Bruce M and Rivadeneira, Fernando and Rotter, Jerome I and Seshadri, Sudha and Singleton, Andrew and Tiemeier, Henning and Uitterlinden, Andr{\'e} G and Zhao, Wei and Bandinelli, Stefania and Bennett, David A and Ferrucci, Luigi and Gudnason, Vilmundur and Harris, Tamara B and Karasik, David and Launer, Lenore J and Perls, Thomas T and Slagboom, P Eline and Tranah, Gregory J and Weir, David R and Newman, Anne B and van Duijn, Cornelia M and Murabito, Joanne M} } @article {7161, title = {Gait Speed Predicts Incident Disability: A Pooled Analysis.}, journal = {J Gerontol A Biol Sci Med Sci}, volume = {71}, year = {2016}, month = {2016 Jan}, pages = {63-71}, abstract = {

BACKGROUND: Functional independence with aging is an important goal for individuals and society. Simple prognostic indicators can inform health promotion and care planning, but evidence is limited by heterogeneity in measures of function.

METHODS: We performed a pooled analysis of data from seven studies of 27,220 community-dwelling older adults aged 65 or older with baseline gait speed, followed for disability and mortality. Outcomes were incident inability or dependence on another person in bathing or dressing; and difficulty walking {\textonequarter} - {\textonehalf} mile or climbing 10 steps within 3 years.

RESULTS: Participants with faster baseline gait had lower rates of incident disability. In subgroups (defined by 0.2 m/s-wide intervals from <0.4 to >= 1.4 m/s) with increasingly greater gait speed, 3-year rates of bathing or dressing dependence trended from 10\% to 1\% in men, and from 15\% to 1\% in women, while mobility difficulty trended from 47\% to 4\% in men and 40\% to 6\% in women. The age-adjusted relative risk ratio per 0.1 m/s greater speed for bathing or dressing dependence in men was 0.68 (0.57-0.81) and in women: 0.74 (0.66-0.82); for mobility difficulty, men: 0.75 (0.68-0.82), women: 0.73 (0.67-0.80). Results were similar for combined disability and mortality. Effects were largely consistent across subgroups based on age, gender, race, body mass index, prior hospitalization, and selected chronic conditions. In the presence of multiple other risk factors for disability, gait speed significantly increased the area under the receiver operator characteristic curve.

CONCLUSION: In older adults, gait speed predicts 3 year incidence of bathing or dressing dependence, mobility difficulty, and a composite outcome of disability and mortality.

}, keywords = {Activities of Daily Living, Aged, Aged, 80 and over, Aging, Cohort Studies, Disability Evaluation, Disabled Persons, Female, Gait, Geriatric Assessment, Humans, Independent Living, Male, Mobility Limitation, Predictive Value of Tests, Prognosis, Psychomotor Performance, Risk Assessment, Risk Factors, ROC Curve, Survival Analysis, United States}, issn = {1758-535X}, doi = {10.1093/gerona/glv126}, author = {Perera, Subashan and Patel, Kushang V and Rosano, Caterina and Rubin, Susan M and Satterfield, Suzanne and Harris, Tamara and Ensrud, Kristine and Orwoll, Eric and Lee, Christine G and Chandler, Julie M and Newman, Anne B and Cauley, Jane A and Guralnik, Jack M and Ferrucci, Luigi and Studenski, Stephanie A} } @article {8095, title = {Galectin-3 and Soluble ST2 and Kidney Function Decline in Older Adults: The Cardiovascular Health Study (CHS).}, journal = {Am J Kidney Dis}, volume = {67}, year = {2016}, month = {2016 06}, pages = {994-6}, keywords = {Aged, Cohort Studies, Creatinine, Cystatin C, Female, Galectin 3, Glomerular Filtration Rate, Humans, Interleukin-1 Receptor-Like 1 Protein, Logistic Models, Longitudinal Studies, Male, Prognosis, Renal Insufficiency, Chronic}, issn = {1523-6838}, doi = {10.1053/j.ajkd.2015.12.022}, author = {Bansal, Nisha and Katz, Ronit and Seliger, Stephen and DeFilippi, Christopher and Sarnak, Mark J and Delaney, Joseph A and Christenson, Robert and de Boer, Ian H and Kestenbaum, Bryan and Robinson-Cohen, Cassianne and Ix, Joachim H and Shlipak, Michael G} } @article {8566, title = {{Gene-gene Interaction Analyses for Atrial Fibrillation}, journal = {Sci Rep}, volume = {6}, year = {2016}, month = {11}, pages = {35371}, abstract = {{Atrial fibrillation (AF) is a heritable disease that affects more than thirty million individuals worldwide. Extensive efforts have been devoted to the study of genetic determinants of AF. The objective of our study is to examine the effect of gene-gene interaction on AF susceptibility. We performed a large-scale association analysis of gene-gene interactions with AF in 8,173 AF cases, and 65,237 AF-free referents collected from 15 studies for discovery. We examined putative interactions between genome-wide SNPs and 17 known AF-related SNPs. The top interactions were then tested for association in an independent cohort for replication, which included more than 2,363 AF cases and 114,746 AF-free referents. One interaction, between rs7164883 at the HCN4 locus and rs4980345 at the SLC28A1 locus, was found to be significantly associated with AF in the discovery cohorts (interaction OR = 1.44, 95\% CI: 1.27-1.65}, author = {Lin, H. and Mueller-Nurasyid, M. and Smith, A. V. and Arking, D. E. and Barnard, J. and Bartz, T. M. and Lunetta, K. L. and Lohman, K. and Kleber, M. E. and Lubitz, S. A. and Geelhoed, B. and Trompet, S. and Niemeijer, M. N. and Kacprowski, T. and Chasman, D. I. and Klarin, D. and Sinner, M. F. and Waldenberger, M. and Meitinger, T. and Harris, T. B. and Launer, L. J. and Soliman, E. Z. and Chen, L. Y. and Smith, J. D. and Van Wagoner, D. R. and Rotter, J. I. and Psaty, B. M. and Xie, Z. and Hendricks, A. E. and Ding, J. and Delgado, G. E. and Verweij, N. and van der Harst, P. and Macfarlane, P. W. and Ford, I. and Hofman, A. and Uitterlinden, A. and Heeringa, J. and Franco, O. H. and Kors, J. A. and Weiss, S. and V?lzke, H. and Rose, L. M. and Natarajan, P. and Kathiresan, S. and K??b, S. and Gudnason, V. and Alonso, A. and Chung, M. K. and Heckbert, S. R. and Benjamin, E. J. and Liu, Y. and M?rz, W. and Rienstra, M. and Jukema, J. W. and Stricker, B. H. and D?rr, M. and Albert, C. M. and Ellinor, P. T.} } @article {7136, title = {General Framework for Meta-Analysis of Haplotype Association Tests.}, journal = {Genet Epidemiol}, volume = {40}, year = {2016}, month = {2016 Apr}, pages = {244-52}, abstract = {

For complex traits, most associated single nucleotide variants (SNV) discovered to date have a small effect, and detection of association is only possible with large sample sizes. Because of patient confidentiality concerns, it is often not possible to pool genetic data from multiple cohorts, and meta-analysis has emerged as the method of choice to combine results from multiple studies. Many meta-analysis methods are available for single SNV analyses. As new approaches allow the capture of low frequency and rare genetic variation, it is of interest to jointly consider multiple variants to improve power. However, for the analysis of haplotypes formed by multiple SNVs, meta-analysis remains a challenge, because different haplotypes may be observed across studies. We propose a two-stage meta-analysis approach to combine haplotype analysis results. In the first stage, each cohort estimate haplotype effect sizes in a regression framework, accounting for relatedness among observations if appropriate. For the second stage, we use a multivariate generalized least square meta-analysis approach to combine haplotype effect estimates from multiple cohorts. Haplotype-specific association tests and a global test of independence between haplotypes and traits are obtained within our framework. We demonstrate through simulation studies that we control the type-I error rate, and our approach is more powerful than inverse variance weighted meta-analysis of single SNV analysis when haplotype effects are present. We replicate a published haplotype association between fasting glucose-associated locus (G6PC2) and fasting glucose in seven studies from the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium and we provide more precise haplotype effect estimates.

}, issn = {1098-2272}, doi = {10.1002/gepi.21959}, author = {Wang, Shuai and Zhao, Jing Hua and An, Ping and Guo, Xiuqing and Jensen, Richard A and Marten, Jonathan and Huffman, Jennifer E and Meidtner, Karina and Boeing, Heiner and Campbell, Archie and Rice, Kenneth M and Scott, Robert A and Yao, Jie and Schulze, Matthias B and Wareham, Nicholas J and Borecki, Ingrid B and Province, Michael A and Rotter, Jerome I and Hayward, Caroline and Goodarzi, Mark O and Meigs, James B and Dupuis, Jos{\'e}e} } @article {8569, title = {{Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function}, journal = {Nat Commun}, volume = {7}, year = {2016}, month = {Jan}, pages = {10023}, abstract = {Reduced glomerular filtration rate defines chronic kidney disease and is associated with cardiovascular and all-cause mortality. We conducted a meta-analysis of genome-wide association studies for estimated glomerular filtration rate (eGFR), combining data across 133,413 individuals with replication in up to 42,166 individuals. We identify 24 new and confirm 29 previously identified loci. Of these 53 loci, 19 associate with eGFR among individuals with diabetes. Using bioinformatics, we show that identified genes at eGFR loci are enriched for expression in kidney tissues and in pathways relevant for kidney development and transmembrane transporter activity, kidney structure, and regulation of glucose metabolism. Chromatin state mapping and DNase I hypersensitivity analyses across adult tissues demonstrate preferential mapping of associated variants to regulatory regions in kidney but not extra-renal tissues. These findings suggest that genetic determinants of eGFR are mediated largely through direct effects within the kidney and highlight important cell types and biological pathways.}, author = {Pattaro, C. and Teumer, A. and Gorski, M. and Chu, A. Y. and Li, M. and Mijatovic, V. and Garnaas, M. and Tin, A. and Sorice, R. and Li, Y. and Taliun, D. and Olden, M. and Foster, M. and Yang, Q. and Chen, M. H. and Pers, T. H. and Johnson, A. D. and Ko, Y. A. and Fuchsberger, C. and Tayo, B. and Nalls, M. and Feitosa, M. F. and Isaacs, A. and Dehghan, A. and d{\textquoteright}Adamo, P. and Adeyemo, A. and Dieffenbach, A. K. and Zonderman, A. B. and Nolte, I. M. and van der Most, P. J. and Wright, A. F. and Shuldiner, A. R. and Morrison, A. C. and Hofman, A. and Smith, A. V. and Dreisbach, A. W. and Franke, A. and Uitterlinden, A. G. and Metspalu, A. and Tonjes, A. and Lupo, A. and Robino, A. and Johansson, ?. and Demirkan, A. and Kollerits, B. and Freedman, B. I. and Ponte, B. and Oostra, B. A. and Paulweber, B. and Kr?mer, B. K. and Mitchell, B. D. and Buckley, B. M. and Peralta, C. A. and Hayward, C. and Helmer, C. and Rotimi, C. N. and Shaffer, C. M. and M?ller, C. and Sala, C. and van Duijn, C. M. and Saint-Pierre, A. and Ackermann, D. and Shriner, D. and Ruggiero, D. and Toniolo, D. and Lu, Y. and Cusi, D. and Czamara, D. and Ellinghaus, D. and Siscovick, D. S. and Ruderfer, D. and Gieger, C. and Grallert, H. and Rochtchina, E. and Atkinson, E. J. and Holliday, E. G. and Boerwinkle, E. and Salvi, E. and Bottinger, E. P. and Murgia, F. and Rivadeneira, F. and Ernst, F. and Kronenberg, F. and Hu, F. B. and Navis, G. J. and Curhan, G. C. and Ehret, G. B. and Homuth, G. and Coassin, S. and Thun, G. A. and Pistis, G. and Gambaro, G. and Malerba, G. and Montgomery, G. W. and Eiriksdottir, G. and Jacobs, G. and Li, G. and Wichmann, H. E. and Campbell, H. and Schmidt, H. and Wallaschofski, H. and V?lzke, H. and Brenner, H. and Kroemer, H. K. and Kramer, H. and Lin, H. and Leach, I. M. and Ford, I. and Guessous, I. and Rudan, I. and Prokopenko, I. and Borecki, I. and Heid, I. M. and Kolcic, I. and Persico, I. and Jukema, J. W. and Wilson, J. F. and Felix, J. F. and Divers, J. and Lambert, J. C. and Stafford, J. M. and Gaspoz, J. M. and Smith, J. A. and Faul, J. D. and Wang, J. J. and Ding, J. and Hirschhorn, J. N. and Attia, J. and Whitfield, J. B. and Chalmers, J. and Viikari, J. and Coresh, J. and Denny, J. C. and Karjalainen, J. and Fernandes, J. K. and Endlich, K. and Butterbach, K. and Keene, K. L. and Lohman, K. and Portas, L. and Launer, L. J. and Lyytik?inen, L. P. and Yengo, L. and Franke, L. and Ferrucci, L. and Rose, L. M. and Kedenko, L. and Rao, M. and Struchalin, M. and Kleber, M. E. and Cavalieri, M. and Haun, M. and Cornelis, M. C. and Ciullo, M. and Pirastu, M. and de Andrade, M. and McEvoy, M. 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M. and Brand, E. and Braund, P. S. and Brown, M. J. and Burton, P. R. and Casas, J. P. and Caulfield, M. J. and Chakravarti, A. and Chambers, J. C. and Chandak, G. R. and Chang, Y. P. and Charchar, F. J. and Chaturvedi, N. and Shin Cho, Y. and Clarke, R. and Collins, F. S. and Collins, R. and Connell, J. M. and Cooper, J. A. and Cooper, M. N. and Cooper, R. S. and Corsi, A. M. and D?rr, M. and Dahgam, S. and Danesh, J. and Davey Smith, G. and Day, I. N. and Deloukas, P. and Denniff, M. and Dominiczak, A. F. and Dong, Y. and Doumatey, A. and Elliott, P. and Elosua, R. and Erdmann, J. and Eyheramendy, S. and Farrall, M. and Fava, C. and Forrester, T. and Fowkes, F. G. and Fox, E. R. and Frayling, T. M. and Galan, P. and Ganesh, S. K. and Garcia, M. and Gaunt, T. R. and Glazer, N. L. and Go, M. J. and Goel, A. and Gr?ssler, J. and Grobbee, D. E. and Groop, L. and Guarrera, S. and Guo, X. and Hadley, D. and Hamsten, A. and Han, B. G. and Hardy, R. and Hartikainen, A. L. and Heath, S. and Heckbert, S. R. and Hedblad, B. and Hercberg, S. and Hernandez, D. and Hicks, A. A. and Hilton, G. and Hingorani, A. D. and Bolton, J. A. and Hopewell, J. C. and Howard, P. and Humphries, S. E. and Hunt, S. C. and Hveem, K. and Ikram, M. A. and Islam, M. and Iwai, N. and Jarvelin, M. R. and Jackson, A. U. and Jafar, T. H. and Janipalli, C. S. and Johnson, T. and Kathiresan, S. and Khaw, K. T. and Kim, H. L. and Kinra, S. and Kita, Y. and Kivimaki, M. and Kooner, J. S. and Kumar, M. J. and Kuh, D. and Kulkarni, S. R. and Kumari, M. and Kuusisto, J. and Kuznetsova, T. and Laakso, M. and Laan, M. and Laitinen, J. and Lakatta, E. G. and Langefeld, C. D. and Larson, M. G. and Lathrop, M. and Lawlor, D. A. and Lawrence, R. W. and Lee, J. Y. and Lee, N. R. and Levy, D. and Li, Y. and Longstreth, W. T. and Luan, J. and Lucas, G. and Ludwig, B. and Mangino, M. and Mani, K. R. and Marmot, M. G. and Mattace-Raso, F. U. and Matullo, G. and McArdle, W. L. and McKenzie, C. A. and Meitinger, T. and Melander, O. and Meneton, P. and Meschia, J. F. and Miki, T. and Milaneschi, Y. and Mohlke, K. L. and Mooser, V. and Morken, M. A. and Morris, R. W. and Mosley, T. H. and Najjar, S. and Narisu, N. and Newton-Cheh, C. and Nguyen, K. D. and Nilsson, P. and Nyberg, F. and O{\textquoteright}Donnell, C. J. and Ogihara, T. and Ohkubo, T. and Okamura, T. and Ong, R. T. and Ongen, H. and Onland-Moret, N. C. and O{\textquoteright}Reilly, P. F. and Org, E. and Orru, M. and Palmas, W. and Palmen, J. and Palmer, L. J. and Palmer, N. D. and Parker, A. N. and Peden, J. F. and Peltonen, L. and Perola, M. and Pihur, V. and Platou, C. G. and Plump, A. and Prabhakaran, D. and Psaty, B. M. and Raffel, L. J. and Rao, D. C. and Rasheed, A. and Ricceri, F. and Rice, K. M. and Rosengren, A. and Rotter, J. I. and Rudock, M. E. and S?ber, S. and Salako, T. and Saleheen, D. and Salomaa, V. and Samani, N. J. and Schwartz, S. M. and Schwarz, P. E. and Scott, L. J. and Scott, J. and Scuteri, A. and Sehmi, J. S. and Seielstad, M. and Seshadri, S. and Sharma, P. and Shaw-Hawkins, S. and Shi, G. and Shrine, N. R. and Sijbrands, E. J. and Sim, X. and Singleton, A. and Sj?gren, M. and Smith, N. L. and Soler Artigas, M. and Spector, T. D. and Staessen, J. A. and Stancakova, A. and Steinle, N. I. and Strachan, D. P. and Stringham, H. M. and Sun, Y. V. and Swift, A. J. and Tabara, Y. and Tai, E. S. and Talmud, P. J. and Taylor, A. and Terzic, J. and Thelle, D. S. and Tobin, M. D. and Tomaszewski, M. and Tripathy, V. and Tuomilehto, J. and Tzoulaki, I. and Uda, M. and Ueshima, H. and Uiterwaal, C. S. and Umemura, S. and van der Harst, P. and van der Schouw, Y. T. and van Gilst, W. H. and Vartiainen, E. and Vasan, R. S. and Veldre, G. and Verwoert, G. C. and Viigimaa, M. and Vinay, D. G. and Vineis, P. and Voight, B. F. and Vollenweider, P. and Wagenknecht, L. E. and Wain, L. V. and Wang, X. and Wang, T. J. and Wareham, N. J. and Watkins, H. and Weder, A. B. and Whincup, P. H. and Wiggins, K. L. and Witteman, J. C. and Wong, A. and Wu, Y. and Yajnik, C. S. and Yao, J. and Young, J. H. and Zelenika, D. and Zhai, G. and Zhang, W. and Zhang, F. and Zhao, J. H. and Zhu, H. and Zhu, X. and Zitting, P. and Zukowska-Szczechowska, E. and Okada, Y. and Wu, J. Y. and Gu, D. and Takeuchi, F. and Takahashi, A. and Maeda, S. and Tsunoda, T. and Chen, P. and Lim, S. C. and Wong, T. Y. and Liu, J. and Young, T. L. and Aung, T. and Teo, Y. Y. and Kim, Y. J. and Kang, D. and Chen, C. H. and Tsai, F. J. and Chang, L. C. and Fann, S. J. and Mei, H. and Hixson, J. E. and Chen, S. and Katsuya, T. and Isono, M. and Albrecht, E. and Yamamoto, K. and Kubo, M. and Nakamura, Y. and Kamatani, N. and Kato, N. and He, J. and Chen, Y. T. and Tanaka, T. and Reilly, M. P. and Schunkert, H. and Assimes, T. L. and Hall, A. and Hengstenberg, C. and K?nig, I. R. and Laaksonen, R. and McPherson, R. and Thompson, J. R. and Thorsteinsdottir, U. and Ziegler, A. and Absher, D. and Chen, L. and Cupples, L. A. and Halperin, E. and Li, M. and Musunuru, K. and Preuss, M. and Schillert, A. and Thorleifsson, G. and Wells, G. A. and Holm, H. and Roberts, R. and Stewart, A. F. and Fortmann, S. and Go, A. and Hlatky, M. and Iribarren, C. and Knowles, J. and Myers, R. and Quertermous, T. and Sidney, S. and Risch, N. and Tang, H. and Blankenberg, S. and Schnabel, R. and Sinning, C. and Lackner, K. J. and Tiret, L. and Nicaud, V. and Cambien, F. and Bickel, C. and Rupprecht, H. J. and Perret, C. and Proust, C. and M?nzel, T. F. and Barbalic, M. and Chen, I. Y. and Demissie-Banjaw, S. and Folsom, A. and Lumley, T. and Marciante, K. and Taylor, K. D. and Volcik, K. and Gretarsdottir, S. and Gulcher, J. R. and Kong, A. and Stefansson, K. and Thorgeirsson, G. and Andersen, K. and Fischer, M. and Grosshennig, A. and Linsel-Nitschke, P. and Stark, K. and Schreiber, S. and Aherrahrou, Z. and Bruse, P. and Doering, A. and Klopp, N. and Diemert, P. and Loley, C. and Medack, A. and Nahrstedt, J. and Peters, A. and Wagner, A. K. and Willenborg, C. and B?hm, B. O. and Dobnig, H. and Grammer, T. B. and Hoffmann, M. M. and Meinitzer, A. and Winkelmann, B. R. and Pilz, S. and Renner, W. and Scharnagl, H. and Stojakovic, T. and Tomaschitz, A. and Winkler, K. and Guiducci, C. and Burtt, N. and Gabriel, S. B. and Dandona, S. and Jarinova, O. and Qu, L. and Wilensky, R. and Matthai, W. and Hakonarson, H. H. and Devaney, J. and Burnett, M. S. and Pichard, A. D. and Kent, K. M. and Satler, L. and Lindsay, J. M. and Waksman, R. and Knouff, C. W. and Waterworth, D. M. and Walker, M. C. and Epstein, S. E. and Rader, D. J. and Nelson, C. P. and Wright, B. J. and Balmforth, A. J. and Ball, S. G. and Loehr, L. R. and Rosamond, W. D. and Benjamin, E. and Haritunians, T. and Couper, D. and Murabito, J. and Wang, Y. A. and Stricker, B. H. and Chang, P. P. and Willerson, J. T. and Felix, S. B. and Watzinger, N. and Aragam, J. and Zweiker, R. and Lind, L. and Rodeheffer, R. J. and Greiser, K. H. and Deckers, J. W. and Stritzke, J. and Ingelsson, E. and Kullo, I. and Haerting, J. and Reffelmann, T. and Redfield, M. M. and Werdan, K. and Mitchell, G. F. and Arnett, D. K. and Gottdiener, J. S. and Blettner, M. and Friedrich, N.} } @article {7165, title = {Genetic Investigation Into the Differential Risk of Atrial Fibrillation Among Black and White Individuals.}, journal = {JAMA Cardiol}, volume = {1}, year = {2016}, month = {2016 Jul 1}, pages = {442-50}, abstract = {

IMPORTANCE: White persons have a higher risk of atrial fibrillation (AF) compared with black individuals despite a lower prevalence of risk factors. This difference may be due, at least in part, to genetic factors.

OBJECTIVES: To determine whether 9 single-nucleotide polymorphisms (SNPs) associated with AF account for this paradoxical differential racial risk for AF and to use admixture mapping to search genome-wide for loci that may account for this phenomenon.

DESIGN, SETTING, AND PARTICIPANTS: Genome-wide admixture analysis and candidate SNP study involving 3 population-based cohort studies that were initiated between 1987 and 1997, including the Cardiovascular Health Study (CHS) (n = 4173), the Atherosclerosis Risk in Communities (ARIC) (n = 12 341) study, and the Health, Aging, and Body Composition (Health ABC) (n = 1015) study. In all 3 studies, race was self-identified. Cox proportional hazards regression models and the proportion of treatment effect method were used to determine the impact of 9 AF-risk SNPs among participants from CHS and the ARIC study. The present study began July 1, 2012, and was completed in 2015.

MAIN OUTCOMES AND MEASURES: Incident AF systematically ascertained using clinic visit electrocardiograms, hospital discharge diagnosis codes, death certificates, and Medicare claims data.

RESULTS: A single SNP, rs10824026 (chromosome 10: position 73661450), was found to significantly mediate the higher risk for AF in white participants compared with black participants in CHS (11.4\%; 95\% CI, 2.9\%-29.9\%) and ARIC (31.7\%; 95\% CI, 16.0\%-53.0\%). Admixture mapping was performed in a meta-analysis of black participants within CHS (n = 811), ARIC (n = 3112), and Health ABC (n = 1015). No loci that reached the prespecified statistical threshold for genome-wide significance were identified.

CONCLUSIONS AND RELEVANCE: The rs10824026 SNP on chromosome 10q22 mediates a modest proportion of the increased risk of AF among white individuals compared with black individuals, potentially through an effect on gene expression levels of MYOZ1. No additional genetic variants accounting for a significant portion of the differential racial risk of AF were identified with genome-wide admixture mapping, suggesting that additional genetic or environmental influences beyond single SNPs in isolation may account for the paradoxical racial risk of AF among white individuals and black individuals.

}, issn = {2380-6591}, doi = {10.1001/jamacardio.2016.1185}, author = {Roberts, Jason D and Hu, Donglei and Heckbert, Susan R and Alonso, Alvaro and Dewland, Thomas A and Vittinghoff, Eric and Liu, Yongmei and Psaty, Bruce M and Olgin, Jeffrey E and Magnani, Jared W and Huntsman, Scott and Burchard, Esteban G and Arking, Dan E and Bibbins-Domingo, Kirsten and Harris, Tamara B and Perez, Marco V and Ziv, Elad and Marcus, Gregory M} } @article {7254, title = {Genetic Variants Associated with Circulating Parathyroid Hormone.}, journal = {J Am Soc Nephrol}, year = {2016}, month = {2016 Dec 07}, abstract = {

Parathyroid hormone (PTH) is a primary calcium regulatory hormone. Elevated serum PTH concentrations in primary and secondary hyperparathyroidism have been associated with bone disease, hypertension, and in some studies, cardiovascular mortality. Genetic causes of variation in circulating PTH concentrations are incompletely understood. We performed a genome-wide association study of serum PTH concentrations among 29,155 participants of European ancestry from 13 cohort studies (n=22,653 and n=6502 in discovery and replication analyses, respectively). We evaluated the association of single nucleotide polymorphisms (SNPs) with natural log-transformed PTH concentration adjusted for age, sex, season, study site, and principal components of ancestry. We discovered associations of SNPs from five independent regions with serum PTH concentration, including the strongest association with rs6127099 upstream of CYP24A1 (P=4.2 {\texttimes} 10(-53)), a gene that encodes the primary catabolic enzyme for 1,25-dihydroxyvitamin D and 25-dihydroxyvitamin D. Each additional copy of the minor allele at this SNP associated with 7\% higher serum PTH concentration. The other SNPs associated with serum PTH concentration included rs4074995 within RGS14 (P=6.6 {\texttimes} 10(-17)), rs219779 adjacent to CLDN14 (P=3.5 {\texttimes} 10(-16)), rs4443100 near RTDR1 (P=8.7 {\texttimes} 10(-9)), and rs73186030 near CASR (P=4.8 {\texttimes} 10(-8)). Of these five SNPs, rs6127099, rs4074995, and rs219779 replicated. Thus, common genetic variants located near genes involved in vitamin D metabolism and calcium and renal phosphate transport associated with differences in circulating PTH concentrations. Future studies could identify the causal variants at these loci, and the clinical and functional relevance of these variants should be pursued.

}, issn = {1533-3450}, doi = {10.1681/ASN.2016010069}, author = {Robinson-Cohen, Cassianne and Lutsey, Pamela L and Kleber, Marcus E and Nielson, Carrie M and Mitchell, Braxton D and Bis, Joshua C and Eny, Karen M and Portas, Laura and Eriksson, Joel and Lorentzon, Mattias and Koller, Daniel L and Milaneschi, Yuri and Teumer, Alexander and Pilz, Stefan and Nethander, Maria and Selvin, Elizabeth and Tang, Weihong and Weng, Lu-Chen and Wong, Hoi Suen and Lai, Dongbing and Peacock, Munro and Hannemann, Anke and V{\"o}lker, Uwe and Homuth, Georg and Nauk, Matthias and Murgia, Federico and Pattee, Jack W and Orwoll, Eric and Zmuda, Joseph M and Riancho, Jose Antonio and Wolf, Myles and Williams, Frances and Penninx, Brenda and Econs, Michael J and Ryan, Kathleen A and Ohlsson, Claes and Paterson, Andrew D and Psaty, Bruce M and Siscovick, David S and Rotter, Jerome I and Pirastu, Mario and Streeten, Elizabeth and M{\"a}rz, Winfried and Fox, Caroline and Coresh, Josef and Wallaschofski, Henri and Pankow, James S and de Boer, Ian H and Kestenbaum, Bryan} } @article {7168, title = {Genetic variants in RBFOX3 are associated with sleep latency.}, journal = {Eur J Hum Genet}, volume = {24}, year = {2016}, month = {2016 Oct}, pages = {1488-95}, abstract = {

Time to fall asleep (sleep latency) is a major determinant of sleep quality. Chronic, long sleep latency is a major characteristic of sleep-onset insomnia and/or delayed sleep phase syndrome. In this study we aimed to discover common polymorphisms that contribute to the genetics of sleep latency. We performed a meta-analysis of genome-wide association studies (GWAS) including 2 572 737 single nucleotide polymorphisms (SNPs) established in seven European cohorts including 4242 individuals. We found a cluster of three highly correlated variants (rs9900428, rs9907432 and rs7211029) in the RNA-binding protein fox-1 homolog 3 gene (RBFOX3) associated with sleep latency (P-values=5.77 {\texttimes} 10(-08), 6.59 {\texttimes} 10(-)(08) and 9.17 {\texttimes} 10(-)(08)). These SNPs were replicated in up to 12 independent populations including 30 377 individuals (P-values=1.5 {\texttimes} 10(-)(02), 7.0 {\texttimes} 10(-)(03) and 2.5 {\texttimes} 10(-)(03); combined meta-analysis P-values=5.5 {\texttimes} 10(-07), 5.4 {\texttimes} 10(-07) and 1.0 {\texttimes} 10(-07)). A functional prediction of RBFOX3 based on co-expression with other genes shows that this gene is predominantly expressed in brain (P-value=1.4 {\texttimes} 10(-316)) and the central nervous system (P-value=7.5 {\texttimes} 10(-)(321)). The predicted function of RBFOX3 based on co-expression analysis with other genes shows that this gene is significantly involved in the release cycle of neurotransmitters including gamma-aminobutyric acid and various monoamines (P-values<2.9 {\texttimes} 10(-11)) that are crucial in triggering the onset of sleep. To conclude, in this first large-scale GWAS of sleep latency we report a novel association of variants in RBFOX3 gene. Further, a functional prediction of RBFOX3 supports the involvement of RBFOX3 with sleep latency.

}, issn = {1476-5438}, doi = {10.1038/ejhg.2016.31}, author = {Amin, Najaf and Allebrandt, Karla V and van der Spek, Ashley and M{\"u}ller-Myhsok, Bertram and Hek, Karin and Teder-Laving, Maris and Hayward, Caroline and Esko, T{\~o}nu and van Mill, Josine G and Mbarek, Hamdi and Watson, Nathaniel F and Melville, Scott A and Del Greco, Fabiola M and Byrne, Enda M and Oole, Edwin and Kolcic, Ivana and Chen, Ting-Hsu and Evans, Daniel S and Coresh, Josef and Vogelzangs, Nicole and Karjalainen, Juha and Willemsen, Gonneke and Gharib, Sina A and Zgaga, Lina and Mihailov, Evelin and Stone, Katie L and Campbell, Harry and Brouwer, Rutger Ww and Demirkan, Ayse and Isaacs, Aaron and Dogas, Zoran and Marciante, Kristin D and Campbell, Susan and Borovecki, Fran and Luik, Annemarie I and Li, Man and Hottenga, Jouke Jan and Huffman, Jennifer E and van den Hout, Mirjam Cgn and Cummings, Steven R and Aulchenko, Yurii S and Gehrman, Philip R and Uitterlinden, Andr{\'e} G and Wichmann, Heinz-Erich and M{\"u}ller-Nurasyid, Martina and Fehrmann, Rudolf Sn and Montgomery, Grant W and Hofman, Albert and Kao, Wen Hong Linda and Oostra, Ben A and Wright, Alan F and Vink, Jacqueline M and Wilson, James F and Pramstaller, Peter P and Hicks, Andrew A and Polasek, Ozren and Punjabi, Naresh M and Redline, Susan and Psaty, Bruce M and Heath, Andrew C and Merrow, Martha and Tranah, Gregory J and Gottlieb, Daniel J and Boomsma, Dorret I and Martin, Nicholas G and Rudan, Igor and Tiemeier, Henning and van IJcken, Wilfred Fj and Penninx, Brenda W and Metspalu, Andres and Meitinger, Thomas and Franke, Lude and Roenneberg, Till and van Duijn, Cornelia M} } @article {8562, title = {{The genetics of blood pressure regulation and its target organs from association studies in 342,415 individuals}, journal = {Nat Genet}, volume = {48}, year = {2016}, month = {10}, pages = {1171{\textendash}1184}, abstract = {To dissect the genetic architecture of blood pressure and assess effects on target organ damage, we analyzed 128,272 SNPs from targeted and genome-wide arrays in 201,529 individuals of European ancestry, and genotypes from an additional 140,886 individuals were used for validation. We identified 66 blood pressure-associated loci, of which 17 were new; 15 harbored multiple distinct association signals. The 66 index SNPs were enriched for cis-regulatory elements, particularly in vascular endothelial cells, consistent with a primary role in blood pressure control through modulation of vascular tone across multiple tissues. The 66 index SNPs combined in a risk score showed comparable effects in 64,421 individuals of non-European descent. The 66-SNP blood pressure risk score was significantly associated with target organ damage in multiple tissues but with minor effects in the kidney. Our findings expand current knowledge of blood pressure-related pathways and highlight tissues beyond the classical renal system in blood pressure regulation.}, author = {Ehret, G. B. and Ferreira, T. and Chasman, D. I. and Jackson, A. U. and Schmidt, E. M. and Johnson, T. and Thorleifsson, G. and Luan, J. and Donnelly, L. A. and Kanoni, S. and Petersen, A. K. and Pihur, V. and Strawbridge, R. J. and Shungin, D. and Hughes, M. F. and Meirelles, O. and Kaakinen, M. and Bouatia-Naji, N. and Kristiansson, K. and Shah, S. and Kleber, M. E. and Guo, X. and Lyytik?inen, L. P. and Fava, C. and Eriksson, N. and Nolte, I. M. and Magnusson, P. K. and Salfati, E. L. and Rallidis, L. S. and Theusch, E. and Smith, A. J. P. and Folkersen, L. and Witkowska, K. and Pers, T. H. and Joehanes, R. and Kim, S. K. and Lataniotis, L. and Jansen, R. and Johnson, A. D. and Warren, H. and Kim, Y. J. and Zhao, W. and Wu, Y. and Tayo, B. O. and Bochud, M. and Absher, D. and Adair, L. S. and Amin, N. and Arking, D. E. and Axelsson, T. and Baldassarre, D. and Balkau, B. and Bandinelli, S. and Barnes, M. R. and Barroso, I. and Bevan, S. and Bis, J. C. and Bjornsdottir, G. and Boehnke, M. and Boerwinkle, E. and Bonnycastle, L. L. and Boomsma, D. I. and Bornstein, S. R. and Brown, M. J. and Burnier, M. and Cabrera, C. P. and Chambers, J. C. and Chang, I. S. and Cheng, C. Y. and Chines, P. S. and Chung, R. H. and Collins, F. S. and Connell, J. M. and D?ring, A. and Dallongeville, J. and Danesh, J. and de Faire, U. and Delgado, G. and Dominiczak, A. F. and Doney, A. S. F. and Drenos, F. and Edkins, S. and Eicher, J. D. and Elosua, R. and Enroth, S. and Erdmann, J. and Eriksson, P. and Esko, T. and Evangelou, E. and Evans, A. and Fall, T. and Farrall, M. and Felix, J. F. and Ferri?res, J. and Ferrucci, L. and Fornage, M. and Forrester, T. and Franceschini, N. and Duran, O. H. F. and Franco-Cereceda, A. and Fraser, R. M. and Ganesh, S. K. and Gao, H. and Gertow, K. and Gianfagna, F. and Gigante, B. and Giulianini, F. and Goel, A. and Goodall, A. H. and Goodarzi, M. O. and Gorski, M. and Gr??ler, J. and Groves, C. and Gudnason, V. and Gyllensten, U. and Hallmans, G. and Hartikainen, A. L. and Hassinen, M. and Havulinna, A. S. and Hayward, C. and Hercberg, S. and Herzig, K. H. and Hicks, A. A. and Hingorani, A. D. and Hirschhorn, J. N. and Hofman, A. and Holmen, J. and Holmen, O. L. and Hottenga, J. J. and Howard, P. and Hsiung, C. A. and Hunt, S. C. and Ikram, M. A. and Illig, T. and Iribarren, C. and Jensen, R. A. and K?h?nen, M. and Kang, H. and Kathiresan, S. and Keating, B. J. and Khaw, K. T. and Kim, Y. K. and Kim, E. and Kivimaki, M. and Klopp, N. and Kolovou, G. and Komulainen, P. and Kooner, J. S. and Kosova, G. and Krauss, R. M. and Kuh, D. and Kutalik, Z. and Kuusisto, J. and Kval?y, K. and Lakka, T. A. and Lee, N. R. and Lee, I. T. and Lee, W. J. and Levy, D. and Li, X. and Liang, K. W. and Lin, H. and Lin, L. and Lindstr?m, J. and Lobbens, S. and M?nnist?, S. and M?ller, G. and M?ller-Nurasyid, M. and Mach, F. and Markus, H. S. and Marouli, E. and McCarthy, M. I. and McKenzie, C. A. and Meneton, P. and Menni, C. and Metspalu, A. and Mijatovic, V. and Moilanen, L. and Montasser, M. E. and Morris, A. D. and Morrison, A. C. and Mulas, A. and Nagaraja, R. and Narisu, N. and Nikus, K. and O{\textquoteright}Donnell, C. J. and O{\textquoteright}Reilly, P. F. and Ong, K. K. and Paccaud, F. and Palmer, C. D. and Parsa, A. and Pedersen, N. L. and Penninx, B. W. and Perola, M. and Peters, A. and Poulter, N. and Pramstaller, P. P. and Psaty, B. M. and Quertermous, T. and Rao, D. C. and Rasheed, A. and Rayner, N. W. N. W. R. and Renstr?m, F. and Rettig, R. and Rice, K. M. and Roberts, R. and Rose, L. M. and Rossouw, J. and Samani, N. J. and Sanna, S. and Saramies, J. and Schunkert, H. and Sebert, S. and Sheu, W. H. and Shin, Y. A. and Sim, X. and Smit, J. H. and Smith, A. V. and Sosa, M. X. and Spector, T. D. and Stan??kov?, A. and Stanton, A. and Stirrups, K. E. and Stringham, H. M. and Sundstrom, J. and Swift, A. J. and Syv?nen, A. C. and Tai, E. S. and Tanaka, T. and Tarasov, K. V. and Teumer, A. and Thorsteinsdottir, U. and Tobin, M. D. and Tremoli, E. and Uitterlinden, A. G. and Uusitupa, M. and Vaez, A. and Vaidya, D. and van Duijn, C. M. and van Iperen, E. P. A. and Vasan, R. S. and Verwoert, G. C. and Virtamo, J. and Vitart, V. and Voight, B. F. and Vollenweider, P. and Wagner, A. and Wain, L. V. and Wareham, N. J. and Watkins, H. and Weder, A. B. and Westra, H. J. and Wilks, R. and Wilsgaard, T. and Wilson, J. F. and Wong, T. Y. and Yang, T. P. and Yao, J. and Yengo, L. and Zhang, W. and Zhao, J. H. and Zhu, X. and Bovet, P. and Cooper, R. S. and Mohlke, K. L. and Saleheen, D. and Lee, J. Y. and Elliott, P. and Gierman, H. J. and Willer, C. J. and Franke, L. and Hovingh, G. K. and Taylor, K. D. and Dedoussis, G. and Sever, P. and Wong, A. and Lind, L. and Assimes, T. L. and Nj?lstad, I. and Schwarz, P. E. and Langenberg, C. and Snieder, H. and Caulfield, M. J. and Melander, O. and Laakso, M. and Saltevo, J. and Rauramaa, R. and Tuomilehto, J. and Ingelsson, E. and Lehtim?ki, T. and Hveem, K. and Palmas, W. and M?rz, W. and Kumari, M. and Salomaa, V. and Chen, Y. I. and Rotter, J. I. and Froguel, P. and Jarvelin, M. R. and Lakatta, E. G. and Kuulasmaa, K. and Franks, P. W. and Hamsten, A. and Wichmann, H. E. and Palmer, C. N. A. and Stefansson, K. and Ridker, P. M. and Loos, R. J. F. and Chakravarti, A. and Deloukas, P. and Morris, A. P. and Newton-Cheh, C. and Munroe, P. B.} } @article {6991, title = {Genome-Wide Association Analysis of Young-Onset Stroke Identifies a Locus on Chromosome 10q25 Near HABP2.}, journal = {Stroke}, volume = {47}, year = {2016}, month = {2016 Feb}, pages = {307-16}, abstract = {

BACKGROUND AND PURPOSE: Although a genetic contribution to ischemic stroke is well recognized, only a handful of stroke loci have been identified by large-scale genetic association studies to date. Hypothesizing that genetic effects might be stronger for early- versus late-onset stroke, we conducted a 2-stage meta-analysis of genome-wide association studies, focusing on stroke cases with an age of onset <60 years.

METHODS: The discovery stage of our genome-wide association studies included 4505 cases and 21 968 controls of European, South-Asian, and African ancestry, drawn from 6 studies. In Stage 2, we selected the lead genetic variants at loci with association P<5{\texttimes}10(-6) and performed in silico association analyses in an independent sample of <=1003 cases and 7745 controls.

RESULTS: One stroke susceptibility locus at 10q25 reached genome-wide significance in the combined analysis of all samples from the discovery and follow-up stages (rs11196288; odds ratio =1.41; P=9.5{\texttimes}10(-9)). The associated locus is in an intergenic region between TCF7L2 and HABP2. In a further analysis in an independent sample, we found that 2 single nucleotide polymorphisms in high linkage disequilibrium with rs11196288 were significantly associated with total plasma factor VII-activating protease levels, a product of HABP2.

CONCLUSIONS: HABP2, which encodes an extracellular serine protease involved in coagulation, fibrinolysis, and inflammatory pathways, may be a genetic susceptibility locus for early-onset stroke.

}, keywords = {Adult, African Continental Ancestry Group, Age of Onset, Aged, Asian Continental Ancestry Group, Brain Ischemia, Chromosomes, Human, Pair 10, Computer Simulation, DNA, Intergenic, European Continental Ancestry Group, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Middle Aged, Odds Ratio, Polymorphism, Single Nucleotide, Serine Endopeptidases, Stroke}, issn = {1524-4628}, doi = {10.1161/STROKEAHA.115.011328}, author = {Cheng, Yu-Ching and Stanne, Tara M and Giese, Anne-Katrin and Ho, Weang Kee and Traylor, Matthew and Amouyel, Philippe and Holliday, Elizabeth G and Malik, Rainer and Xu, Huichun and Kittner, Steven J and Cole, John W and O{\textquoteright}Connell, Jeffrey R and Danesh, John and Rasheed, Asif and Zhao, Wei and Engelter, Stefan and Grond-Ginsbach, Caspar and Kamatani, Yoichiro and Lathrop, Mark and Leys, Didier and Thijs, Vincent and Metso, Tiina M and Tatlisumak, Turgut and Pezzini, Alessandro and Parati, Eugenio A and Norrving, Bo and Bevan, Steve and Rothwell, Peter M and Sudlow, Cathie and Slowik, Agnieszka and Lindgren, Arne and Walters, Matthew R and Jannes, Jim and Shen, Jess and Crosslin, David and Doheny, Kimberly and Laurie, Cathy C and Kanse, Sandip M and Bis, Joshua C and Fornage, Myriam and Mosley, Thomas H and Hopewell, Jemma C and Strauch, Konstantin and M{\"u}ller-Nurasyid, Martina and Gieger, Christian and Waldenberger, Melanie and Peters, Annette and Meisinger, Christine and Ikram, M Arfan and Longstreth, W T and Meschia, James F and Seshadri, Sudha and Sharma, Pankaj and Worrall, Bradford and Jern, Christina and Levi, Christopher and Dichgans, Martin and Boncoraglio, Giorgio B and Markus, Hugh S and Debette, Stephanie and Rolfs, Arndt and Saleheen, Danish and Mitchell, Braxton D} } @article {7004, title = {Genome-Wide Association Study for Incident Myocardial Infarction and Coronary Heart Disease in Prospective Cohort Studies: The CHARGE Consortium.}, journal = {PLoS One}, volume = {11}, year = {2016}, month = {2016}, pages = {e0144997}, abstract = {

BACKGROUND: Data are limited on genome-wide association studies (GWAS) for incident coronary heart disease (CHD). Moreover, it is not known whether genetic variants identified to date also associate with risk of CHD in a prospective setting.

METHODS: We performed a two-stage GWAS analysis of incident myocardial infarction (MI) and CHD in a total of 64,297 individuals (including 3898 MI cases, 5465 CHD cases). SNPs that passed an arbitrary threshold of 5{\texttimes}10-6 in Stage I were taken to Stage II for further discovery. Furthermore, in an analysis of prognosis, we studied whether known SNPs from former GWAS were associated with total mortality in individuals who experienced MI during follow-up.

RESULTS: In Stage I 15 loci passed the threshold of 5{\texttimes}10-6; 8 loci for MI and 8 loci for CHD, for which one locus overlapped and none were reported in previous GWAS meta-analyses. We took 60 SNPs representing these 15 loci to Stage II of discovery. Four SNPs near QKI showed nominally significant association with MI (p-value<8.8{\texttimes}10-3) and three exceeded the genome-wide significance threshold when Stage I and Stage II results were combined (top SNP rs6941513: p = 6.2{\texttimes}10-9). Despite excellent power, the 9p21 locus SNP (rs1333049) was only modestly associated with MI (HR = 1.09, p-value = 0.02) and marginally with CHD (HR = 1.06, p-value = 0.08). Among an inception cohort of those who experienced MI during follow-up, the risk allele of rs1333049 was associated with a decreased risk of subsequent mortality (HR = 0.90, p-value = 3.2{\texttimes}10-3).

CONCLUSIONS: QKI represents a novel locus that may serve as a predictor of incident CHD in prospective studies. The association of the 9p21 locus both with increased risk of first myocardial infarction and longer survival after MI highlights the importance of study design in investigating genetic determinants of complex disorders.

}, keywords = {Aged, Cohort Studies, Cooperative Behavior, Coronary Artery Disease, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Middle Aged, Myocardial Infarction, Polymorphism, Single Nucleotide, Prospective Studies}, issn = {1932-6203}, doi = {10.1371/journal.pone.0144997}, author = {Dehghan, Abbas and Bis, Joshua C and White, Charles C and Smith, Albert Vernon and Morrison, Alanna C and Cupples, L Adrienne and Trompet, Stella and Chasman, Daniel I and Lumley, Thomas and V{\"o}lker, Uwe and Buckley, Brendan M and Ding, Jingzhong and Jensen, Majken K and Folsom, Aaron R and Kritchevsky, Stephen B and Girman, Cynthia J and Ford, Ian and D{\"o}rr, Marcus and Salomaa, Veikko and Uitterlinden, Andr{\'e} G and Eiriksdottir, Gudny and Vasan, Ramachandran S and Franceschini, Nora and Carty, Cara L and Virtamo, Jarmo and Demissie, Serkalem and Amouyel, Philippe and Arveiler, Dominique and Heckbert, Susan R and Ferrieres, Jean and Ducimetiere, Pierre and Smith, Nicholas L and Wang, Ying A and Siscovick, David S and Rice, Kenneth M and Wiklund, Per-Gunnar and Taylor, Kent D and Evans, Alun and Kee, Frank and Rotter, Jerome I and Karvanen, Juha and Kuulasmaa, Kari and Heiss, Gerardo and Kraft, Peter and Launer, Lenore J and Hofman, Albert and Markus, Marcello R P and Rose, Lynda M and Silander, Kaisa and Wagner, Peter and Benjamin, Emelia J and Lohman, Kurt and Stott, David J and Rivadeneira, Fernando and Harris, Tamara B and Levy, Daniel and Liu, Yongmei and Rimm, Eric B and Jukema, J Wouter and V{\"o}lzke, Henry and Ridker, Paul M and Blankenberg, Stefan and Franco, Oscar H and Gudnason, Vilmundur and Psaty, Bruce M and Boerwinkle, Eric and O{\textquoteright}Donnell, Christopher J} } @article {7593, title = {A genome-wide association study meta-analysis of clinical fracture in 10,012 African American women.}, journal = {Bone Rep}, volume = {5}, year = {2016}, month = {2016 Dec}, pages = {233-242}, abstract = {

BACKGROUND: Osteoporosis is a major public health problem associated with excess disability and mortality. It is estimated that 50-70\% of the variation in osteoporotic fracture risk is attributable to genetic factors. The purpose of this hypothesis-generating study was to identify possible genetic determinants of fracture among African American (AA) women in a GWAS meta-analysis.

METHODS: Data on clinical fractures (all fractures except fingers, toes, face, skull or sternum) were analyzed among AA female participants in the Women{\textquoteright}s Health Initiative (WHI) (N~=~8155), Cardiovascular Health Study (CHS) (N~=~504), BioVU (N~=~704), Health ABC (N~=~651), and the Johnston County Osteoarthritis Project (JoCoOA) (N~=~291). Affymetrix (WHI) and Illumina (Health ABC, JoCoOA, BioVU, CHS) GWAS panels were used for genotyping, and a 1:1 ratio of YRI:CEU HapMap haplotypes was used as an imputation reference panel. We used Cox proportional hazard models or logistic regression to evaluate the association of ~~2.5 million SNPs with fracture risk, adjusting for ancestry, age, and geographic region where applicable. We conducted a fixed-effects, inverse variance-weighted meta-analysis. Genome-wide significance was set at P~<~5~{\texttimes}~10-~8.

RESULTS: One SNP, rs12775980 in an intron of SVIL on chromosome 10p11.2, reached genome-wide significance (P~=~4.0~{\texttimes}~10-~8). Although this SNP has a low minor allele frequency (0.03), there was no evidence for heterogeneity of effects across the studies (I2~=~0). This locus was not reported in any previous osteoporosis-related GWA studies. We also interrogated previously reported GWA-significant loci associated with fracture or bone mineral density in our data. One locus (SMOC1) generalized, but overall there was not substantial evidence of generalization. Possible reasons for the lack of generalization are discussed.

CONCLUSION: This GWAS meta-analysis of fractures in African American women identified a potentially novel locus in the supervillin gene, which encodes a platelet-associated factor and was previously associated with platelet thrombus formation in African Americans. If validated in other populations of African descent, these findings suggest potential new mechanisms involved in fracture that may be particularly important among African Americans.

}, issn = {2352-1872}, doi = {10.1016/j.bonr.2016.08.005}, author = {Taylor, Kira C and Evans, Daniel S and Edwards, Digna R Velez and Edwards, Todd L and Sofer, Tamar and Li, Guo and Liu, Youfang and Franceschini, Nora and Jackson, Rebecca D and Giri, Ayush and Donneyong, Macarius and Psaty, Bruce and Rotter, Jerome I and LaCroix, Andrea Z and Jordan, Joanne M and Robbins, John A and Lewis, Beth and Stefanick, Marcia L and Liu, Yongmei and Garcia, Melissa and Harris, Tamara and Cauley, Jane A and North, Kari E} } @article {7167, title = {Genome-Wide Association Study of the Modified Stumvoll Insulin Sensitivity Index Identifies BCL2 and FAM19A2 as Novel Insulin Sensitivity Loci.}, journal = {Diabetes}, volume = {65}, year = {2016}, month = {2016 Oct}, pages = {3200-11}, abstract = {

Genome-wide association studies (GWAS) have found few common variants that influence fasting measures of insulin sensitivity. We hypothesized that a GWAS of an integrated assessment of fasting and dynamic measures of insulin sensitivity would detect novel common variants. We performed a GWAS of the modified Stumvoll Insulin Sensitivity Index (ISI) within the Meta-Analyses of Glucose and Insulin-Related Traits Consortium. Discovery for genetic association was performed in 16,753 individuals, and replication was attempted for the 23 most significant novel loci in 13,354 independent individuals. Association with ISI was tested in models adjusted for age, sex, and BMI and in a model analyzing the combined influence of the genotype effect adjusted for BMI and the interaction effect between the genotype and BMI on ISI (model 3). In model 3, three variants reached genome-wide significance: rs13422522 (NYAP2; P = 8.87 {\texttimes} 10(-11)), rs12454712 (BCL2; P = 2.7 {\texttimes} 10(-8)), and rs10506418 (FAM19A2; P = 1.9 {\texttimes} 10(-8)). The association at NYAP2 was eliminated by conditioning on the known IRS1 insulin sensitivity locus; the BCL2 and FAM19A2 associations were independent of known cardiometabolic loci. In conclusion, we identified two novel loci and replicated known variants associated with insulin sensitivity. Further studies are needed to clarify the causal variant and function at the BCL2 and FAM19A2 loci.

}, issn = {1939-327X}, doi = {10.2337/db16-0199}, author = {Walford, Geoffrey A and Gustafsson, Stefan and Rybin, Denis and Stan{\v c}{\'a}kov{\'a}, Alena and Chen, Han and Liu, Ching-Ti and Hong, Jaeyoung and Jensen, Richard A and Rice, Ken and Morris, Andrew P and M{\"a}gi, Reedik and T{\"o}njes, Anke and Prokopenko, Inga and Kleber, Marcus E and Delgado, Graciela and Silbernagel, G{\"u}nther and Jackson, Anne U and Appel, Emil V and Grarup, Niels and Lewis, Joshua P and Montasser, May E and Landenvall, Claes and Staiger, Harald and Luan, Jian{\textquoteright}an and Frayling, Timothy M and Weedon, Michael N and Xie, Weijia and Morcillo, Sonsoles and Mart{\'\i}nez-Larrad, Mar{\'\i}a Teresa and Biggs, Mary L and Chen, Yii-Der Ida and Corbaton-Anchuelo, Arturo and F{\ae}rch, Kristine and G{\'o}mez-Zumaquero, Juan Miguel and Goodarzi, Mark O and Kizer, Jorge R and Koistinen, Heikki A and Leong, Aaron and Lind, Lars and Lindgren, Cecilia and Machicao, Fausto and Manning, Alisa K and Mart{\'\i}n-N{\'u}{\~n}ez, Gracia Mar{\'\i}a and Rojo-Mart{\'\i}nez, Gemma and Rotter, Jerome I and Siscovick, David S and Zmuda, Joseph M and Zhang, Zhongyang and Serrano-R{\'\i}os, Manuel and Smith, Ulf and Soriguer, Federico and Hansen, Torben and J{\o}rgensen, Torben J and Linnenberg, Allan and Pedersen, Oluf and Walker, Mark and Langenberg, Claudia and Scott, Robert A and Wareham, Nicholas J and Fritsche, Andreas and H{\"a}ring, Hans-Ulrich and Stefan, Norbert and Groop, Leif and O{\textquoteright}Connell, Jeff R and Boehnke, Michael and Bergman, Richard N and Collins, Francis S and Mohlke, Karen L and Tuomilehto, Jaakko and M{\"a}rz, Winfried and Kovacs, Peter and Stumvoll, Michael and Psaty, Bruce M and Kuusisto, Johanna and Laakso, Markku and Meigs, James B and Dupuis, Jos{\'e}e and Ingelsson, Erik and Florez, Jose C} } @article {7147, title = {Genomewide meta-analysis identifies loci associated with IGF-I and IGFBP-3 levels with impact on age-related traits.}, journal = {Aging Cell}, volume = {15}, year = {2016}, month = {2016 Oct}, pages = {811-24}, abstract = {

The growth hormone/insulin-like growth factor (IGF) axis can be manipulated in animal models to promote longevity, and IGF-related proteins including IGF-I and IGF-binding protein-3 (IGFBP-3) have also been implicated in risk of human diseases including cardiovascular diseases, diabetes, and cancer. Through genomewide association study of up to 30~884 adults of European ancestry from 21 studies, we confirmed and extended the list of previously identified loci associated with circulating IGF-I and IGFBP-3 concentrations (IGF1, IGFBP3, GCKR, TNS3, GHSR, FOXO3, ASXL2, NUBP2/IGFALS, SORCS2, and CELSR2). Significant sex interactions, which were characterized by different genotype-phenotype associations between men and women, were found only for associations of IGFBP-3 concentrations with SNPs at the loci IGFBP3 and SORCS2. Analyses of SNPs, gene expression, and protein levels suggested that interplay between IGFBP3 and genes within the NUBP2 locus (IGFALS and HAGH) may affect circulating IGF-I and IGFBP-3 concentrations. The IGF-I-decreasing allele of SNP rs934073, which is an eQTL of ASXL2, was associated with lower adiposity and higher likelihood of survival beyond 90~years. The known longevity-associated variant rs2153960 (FOXO3) was observed to be a genomewide significant SNP for IGF-I concentrations. Bioinformatics analysis suggested enrichment of putative regulatory elements among these IGF-I- and IGFBP-3-associated loci, particularly of rs646776 at CELSR2. In conclusion, this study identified several loci associated with circulating IGF-I and IGFBP-3 concentrations and provides clues to the potential role of the IGF axis in mediating effects of known (FOXO3) and novel (ASXL2) longevity-associated loci.

}, issn = {1474-9726}, doi = {10.1111/acel.12490}, author = {Teumer, Alexander and Qi, Qibin and Nethander, Maria and Aschard, Hugues and Bandinelli, Stefania and Beekman, Marian and Berndt, Sonja I and Bidlingmaier, Martin and Broer, Linda and Cappola, Anne and Ceda, Gian Paolo and Chanock, Stephen and Chen, Ming-Huei and Chen, Tai C and Chen, Yii-Der Ida and Chung, Jonathan and Del Greco Miglianico, Fabiola and Eriksson, Joel and Ferrucci, Luigi and Friedrich, Nele and Gnewuch, Carsten and Goodarzi, Mark O and Grarup, Niels and Guo, Tingwei and Hammer, Elke and Hayes, Richard B and Hicks, Andrew A and Hofman, Albert and Houwing-Duistermaat, Jeanine J and Hu, Frank and Hunter, David J and Husemoen, Lise L and Isaacs, Aaron and Jacobs, Kevin B and Janssen, Joop A M J L and Jansson, John-Olov and Jehmlich, Nico and Johnson, Simon and Juul, Anders and Karlsson, Magnus and Kilpel{\"a}inen, Tuomas O and Kovacs, Peter and Kraft, Peter and Li, Chao and Linneberg, Allan and Liu, Yongmei and Loos, Ruth J F and Lorentzon, Mattias and Lu, Yingchang and Maggio, Marcello and M{\"a}gi, Reedik and Meigs, James and Mellstr{\"o}m, Dan and Nauck, Matthias and Newman, Anne B and Pollak, Michael N and Pramstaller, Peter P and Prokopenko, Inga and Psaty, Bruce M and Reincke, Martin and Rimm, Eric B and Rotter, Jerome I and Saint Pierre, Aude and Schurmann, Claudia and Seshadri, Sudha and Sj{\"o}gren, Klara and Slagboom, P Eline and Strickler, Howard D and Stumvoll, Michael and Suh, Yousin and Sun, Qi and Zhang, Cuilin and Svensson, Johan and Tanaka, Toshiko and Tare, Archana and T{\"o}njes, Anke and Uh, Hae-Won and van Duijn, Cornelia M and van Heemst, Diana and Vandenput, Liesbeth and Vasan, Ramachandran S and V{\"o}lker, Uwe and Willems, Sara M and Ohlsson, Claes and Wallaschofski, Henri and Kaplan, Robert C} } @article {7135, title = {Global Electric Heterogeneity Risk Score for Prediction of Sudden Cardiac Death in the General Population: The Atherosclerosis Risk in Communities (ARIC) and Cardiovascular Health (CHS) Studies.}, journal = {Circulation}, volume = {133}, year = {2016}, month = {2016 Jun 7}, pages = {2222-34}, abstract = {

BACKGROUND: Asymptomatic individuals account for the majority of sudden cardiac deaths (SCDs). Development of effective, low-cost, and noninvasive SCD risk stratification tools is necessary.

METHODS AND RESULTS: Participants from the Atherosclerosis Risk in Communities study and Cardiovascular Health Study (n=20 177; age, 59.3{\textpm}10.1 years; age range, 44-100 years; 56\% female; 77\% white) were followed up for 14.0 years (median). Five ECG markers of global electric heterogeneity (GEH; sum absolute QRST integral, spatial QRST angle, spatial ventricular gradient [SVG] magnitude, SVG elevation, and SVG azimuth) were measured on standard 12-lead ECGs. Cox proportional hazards and competing risks models evaluated associations between GEH electrocardiographic parameters and SCD. An SCD competing risks score was derived from demographics, comorbidities, and GEH parameters. SCD incidence was 1.86 per 1000 person-years. After multivariable adjustment, baseline GEH parameters and large increases in GEH parameters over time were independently associated with SCD. Final SCD risk scores included age, sex, race, diabetes mellitus, hypertension, coronary heart disease, stroke, and GEH parameters as continuous variables. When GEH parameters were added to clinical/demographic factors, the C statistic increased from 0.777 to 0.790 (P=0.008), the risk score classified 10-year SCD risk as high (>5\%) in 7.2\% of participants, 10\% of SCD victims were appropriately reclassified into a high-risk category, and only 1.4\% of SCD victims were inappropriately reclassified from high to intermediate risk. The net reclassification index was 18.3\%.

CONCLUSIONS: Abnormal electrophysiological substrate quantified by GEH parameters is independently associated with SCD in the general population. The addition of GEH parameters to clinical characteristics improves SCD risk prediction.

}, issn = {1524-4539}, doi = {10.1161/CIRCULATIONAHA.116.021306}, author = {Waks, Jonathan W and Sitlani, Colleen M and Soliman, Elsayed Z and Kabir, Muammar and Ghafoori, Elyar and Biggs, Mary L and Henrikson, Charles A and Sotoodehnia, Nona and Biering-S{\o}rensen, Tor and Agarwal, Sunil K and Siscovick, David S and Post, Wendy S and Solomon, Scott D and Buxton, Alfred E and Josephson, Mark E and Tereshchenko, Larisa G} } @article {7142, title = {GWAS analysis of handgrip and lower body strength in older adults in the CHARGE consortium.}, journal = {Aging Cell}, volume = {15}, year = {2016}, month = {2016 Oct}, pages = {792-800}, abstract = {

Decline in muscle strength with aging is an important predictor of health trajectory in the elderly. Several factors, including genetics, are proposed contributors to variability in muscle strength. To identify genetic contributors to muscle strength, a meta-analysis of genomewide association studies of handgrip was conducted. Grip strength was measured using a handheld dynamometer in 27~581 individuals of European descent over 65~years of age from 14 cohort studies. Genomewide association analysis was conducted on ~2.7 million imputed and genotyped variants (SNPs). Replication of the most significant findings was conducted using data from 6393 individuals from three cohorts. GWAS of lower body strength was also characterized in a subset of cohorts. Two genomewide significant (P-value< 5~{\texttimes}~10(-8) ) and 39 suggestive (P-value< 5~{\texttimes}~10(-5) ) associations were observed from meta-analysis of the discovery cohorts. After meta-analysis with replication cohorts, genomewide significant association was observed for rs752045 on chromosome 8 (β~=~0.47, SE~=~0.08, P-value~=~5.20~{\texttimes}~10(-10) ). This SNP is mapped to an intergenic region and is located within an accessible chromatin region (DNase hypersensitivity site) in skeletal muscle myotubes differentiated from the human skeletal muscle myoblasts cell line. This locus alters a binding motif of the CCAAT/enhancer-binding protein-β (CEBPB) that is implicated in muscle repair mechanisms. GWAS of lower body strength did not yield significant results. A common genetic variant in a chromosomal region that regulates myotube differentiation and muscle repair may contribute to variability in grip strength in the elderly. Further studies are needed to uncover the mechanisms that link this genetic variant with muscle strength.

}, issn = {1474-9726}, doi = {10.1111/acel.12468}, author = {Matteini, Amy M and Tanaka, Toshiko and Karasik, David and Atzmon, Gil and Chou, Wen-Chi and Eicher, John D and Johnson, Andrew D and Arnold, Alice M and Callisaya, Michele L and Davies, Gail and Evans, Daniel S and Holtfreter, Birte and Lohman, Kurt and Lunetta, Kathryn L and Mangino, Massimo and Smith, Albert V and Smith, Jennifer A and Teumer, Alexander and Yu, Lei and Arking, Dan E and Buchman, Aron S and Chibinik, Lori B and De Jager, Philip L and Evans, Denis A and Faul, Jessica D and Garcia, Melissa E and Gillham-Nasenya, Irina and Gudnason, Vilmundur and Hofman, Albert and Hsu, Yi-Hsiang and Ittermann, Till and Lahousse, Lies and Liewald, David C and Liu, Yongmei and Lopez, Lorna and Rivadeneira, Fernando and Rotter, Jerome I and Siggeirsdottir, Kristin and Starr, John M and Thomson, Russell and Tranah, Gregory J and Uitterlinden, Andr{\'e} G and V{\"o}lker, Uwe and V{\"o}lzke, Henry and Weir, David R and Yaffe, Kristine and Zhao, Wei and Zhuang, Wei Vivian and Zmuda, Joseph M and Bennett, David A and Cummings, Steven R and Deary, Ian J and Ferrucci, Luigi and Harris, Tamara B and Kardia, Sharon L R and Kocher, Thomas and Kritchevsky, Stephen B and Psaty, Bruce M and Seshadri, Sudha and Spector, Timothy D and Srikanth, Velandai K and Windham, B Gwen and Zillikens, M Carola and Newman, Anne B and Walston, Jeremy D and Kiel, Douglas P and Murabito, Joanne M} } @article {6799, title = {GWAS for executive function and processing speed suggests involvement of the CADM2 gene.}, journal = {Mol Psychiatry}, volume = {21}, year = {2016}, month = {2016 Feb}, pages = {189-97}, abstract = {

To identify common variants contributing to normal variation in two specific domains of cognitive functioning, we conducted a genome-wide association study (GWAS) of executive functioning and information processing speed in non-demented older adults from the CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology) consortium. Neuropsychological testing was available for 5429-32,070 subjects of European ancestry aged 45 years or older, free of dementia and clinical stroke at the time of cognitive testing from 20 cohorts in the discovery phase. We analyzed performance on the Trail Making Test parts A and B, the Letter Digit Substitution Test (LDST), the Digit Symbol Substitution Task (DSST), semantic and phonemic fluency tests, and the Stroop Color and Word Test. Replication was sought in 1311-21860 subjects from 20 independent cohorts. A significant association was observed in the discovery cohorts for the single-nucleotide polymorphism (SNP) rs17518584 (discovery P-value=3.12 {\texttimes} 10(-8)) and in the joint discovery and replication meta-analysis (P-value=3.28 {\texttimes} 10(-9) after adjustment for age, gender and education) in an intron of the gene cell adhesion molecule 2 (CADM2) for performance on the LDST/DSST. Rs17518584 is located about 170 kb upstream of the transcription start site of the major transcript for the CADM2 gene, but is within an intron of a variant transcript that includes an alternative first exon. The variant is associated with expression of CADM2 in the cingulate cortex (P-value=4 {\texttimes} 10(-4)). The protein encoded by CADM2 is involved in glutamate signaling (P-value=7.22 {\texttimes} 10(-15)), gamma-aminobutyric acid (GABA) transport (P-value=1.36 {\texttimes} 10(-11)) and neuron cell-cell adhesion (P-value=1.48 {\texttimes} 10(-13)). Our findings suggest that genetic variation in the CADM2 gene is associated with individual differences in information processing speed.

}, issn = {1476-5578}, doi = {10.1038/mp.2015.37}, author = {Ibrahim-Verbaas, C A and Bressler, J and Debette, S and Schuur, M and Smith, A V and Bis, J C and Davies, G and Trompet, S and Smith, J A and Wolf, C and Chibnik, L B and Liu, Y and Vitart, V and Kirin, M and Petrovic, K and Polasek, O and Zgaga, L and Fawns-Ritchie, C and Hoffmann, P and Karjalainen, J and Lahti, J and Llewellyn, D J and Schmidt, C O and Mather, K A and Chouraki, V and Sun, Q and Resnick, S M and Rose, L M and Oldmeadow, C and Stewart, M and Smith, B H and Gudnason, V and Yang, Q and Mirza, S S and Jukema, J W and deJager, P L and Harris, T B and Liewald, D C and Amin, N and Coker, L H and Stegle, O and Lopez, O L and Schmidt, R and Teumer, A and Ford, I and Karbalai, N and Becker, J T and Jonsdottir, M K and Au, R and Fehrmann, R S N and Herms, S and Nalls, M and Zhao, W and Turner, S T and Yaffe, K and Lohman, K and van Swieten, J C and Kardia, S L R and Knopman, D S and Meeks, W M and Heiss, G and Holliday, E G and Schofield, P W and Tanaka, T and Stott, D J and Wang, J and Ridker, P and Gow, A J and Pattie, A and Starr, J M and Hocking, L J and Armstrong, N J and McLachlan, S and Shulman, J M and Pilling, L C and Eiriksdottir, G and Scott, R J and Kochan, N A and Palotie, A and Hsieh, Y-C and Eriksson, J G and Penman, A and Gottesman, R F and Oostra, B A and Yu, L and DeStefano, A L and Beiser, A and Garcia, M and Rotter, J I and N{\"o}then, M M and Hofman, A and Slagboom, P E and Westendorp, R G J and Buckley, B M and Wolf, P A and Uitterlinden, A G and Psaty, B M and Grabe, H J and Bandinelli, S and Chasman, D I and Grodstein, F and R{\"a}ikk{\"o}nen, K and Lambert, J-C and Porteous, D J and Price, J F and Sachdev, P S and Ferrucci, L and Attia, J R and Rudan, I and Hayward, C and Wright, A F and Wilson, J F and Cichon, S and Franke, L and Schmidt, H and Ding, J and de Craen, A J M and Fornage, M and Bennett, D A and Deary, I J and Ikram, M A and Launer, L J and Fitzpatrick, A L and Seshadri, S and van Duijn, C M and Mosley, T H} } @article {7518, title = {Galectin-3 and Venous Thromboembolism Incidence: the Atherosclerosis Risk in Communities (ARIC) Study.}, journal = {Res Pract Thromb Haemost}, volume = {1}, year = {2017}, month = {2017 Oct}, pages = {223-230}, abstract = {

Background: The inflammatory biomarker galectin-3 contributes to pathologic conditions such as heart failure and stimulates murine thrombogenesis. Its association with venous thromboembolism (VTE) has been sparsely studied.

Objectives: To assess the prospective association of plasma galectin-3 and the LGALS3 rs4644 SNP with VTE incidence.

Methods: We measured plasma galectin-3 in 9,916 participants in the Atherosclerosis Risk in Communities (ARIC) study cohort in 1996 - 1998 and identified VTEs through 2013. Using Cox regression, we estimated the hazard ratio associating galectin-3 with incident VTE over a median of 13.9 years. Replication was sought in the Cardiovascular Health Study (CHS).

Results: ARIC included 21.8\% blacks and 56.2\% females with mean baseline age of 62.7 years. The incidence rate of VTE (n=389 events) increased across quintiles of galectin-3, with hazard ratios (95\% CI) of 1 (reference), 1.13 (0.80 - 1.61), 1.00 (0.70 - 1.43), 1.36 (0.96 - 1.91), and 1.55 (1.09 - 2.19) (p-trend = 0.005), adjusted for age, sex, race, body mass index, diabetes status, and renal function. Results did not replicate in the CHS (124 VTE), but meta-analysis of both studies yielded a pooled hazard ratio (95\% CI) for 1 SD increment in log galectin-3 of 1.10 (1.00 - 1.22). In ARIC, the C allele of rs4644 in the LGALS3 gene was associated with higher galectin-3 level, and in whites, with an increased rate of VTE.

Conclusion: Galectin-3 levels were associated positively with VTE incidence.

}, issn = {2475-0379}, doi = {10.1002/rth2.12038}, author = {Fashanu, Oluwaseun E and Heckbert, Susan R and Aguilar, David and Jensen, Paul N and Ballantyne, Christie M and Basu, Saonli and Hoogeveen, Ron C and DeFilippi, Christopher and Cushman, Mary and Folsom, Aaron R} } @article {7599, title = {Generalization and fine mapping of European ancestry-based central adiposity variants in African ancestry populations.}, journal = {Int J Obes (Lond)}, volume = {41}, year = {2017}, month = {2017 Feb}, pages = {324-331}, abstract = {

BACKGROUND/OBJECTIVES: Central adiposity measures such as waist circumference (WC) and waist-to-hip ratio (WHR) are associated with cardiometabolic disorders independently of body mass index (BMI) and are gaining clinically utility. Several studies report genetic variants associated with central adiposity, but most utilize only European ancestry populations. Understanding whether the genetic associations discovered among mainly European descendants are shared with African ancestry populations will help elucidate the biological underpinnings of abdominal fat deposition.

SUBJECTS/METHODS: To identify the underlying functional genetic determinants of body fat distribution, we conducted an array-wide association meta-analysis among persons of African ancestry across seven studies/consortia participating in the Population Architecture using Genomics and Epidemiology (PAGE) consortium. We used the Metabochip array, designed for fine-mapping cardiovascular-associated loci, to explore novel array-wide associations with WC and WHR among 15 945 African descendants using all and sex-stratified groups. We further interrogated 17 known WHR regions for African ancestry-specific variants.

RESULTS: Of the 17 WHR loci, eight single-nucleotide polymorphisms (SNPs) located in four loci were replicated in the sex-combined or sex-stratified meta-analyses. Two of these eight independently associated with WHR after conditioning on the known variant in European descendants (rs12096179 in TBX15-WARS2 and rs2059092 in ADAMTS9). In the fine-mapping assessment, the putative functional region was reduced across all four loci but to varying degrees (average 40\% drop in number of putative SNPs and 20\% drop in genomic region). Similar to previous studies, the significant SNPs in the female-stratified analysis were stronger than the significant SNPs from the sex-combined analysis. No novel associations were detected in the array-wide analyses.

CONCLUSIONS: Of 17 previously identified loci, four loci replicated in the African ancestry populations of this study. Utilizing different linkage disequilibrium patterns observed between European and African ancestries, we narrowed the suggestive region containing causative variants for all four loci.

}, issn = {1476-5497}, doi = {10.1038/ijo.2016.207}, author = {Yoneyama, S and Yao, J and Guo, X and Fernandez-Rhodes, L and Lim, U and Boston, J and B{\r u}{\v z}kov{\'a}, P and Carlson, C S and Cheng, I and Cochran, B and Cooper, R and Ehret, G and Fornage, M and Gong, J and Gross, M and Gu, C C and Haessler, J and Haiman, C A and Henderson, B and Hindorff, L A and Houston, D and Irvin, M R and Jackson, R and Kuller, L and Leppert, M and Lewis, C E and Li, R and Le Marchand, L and Matise, T C and Nguyen, K-Dh and Chakravarti, A and Pankow, J S and Pankratz, N and Pooler, L and Ritchie, M D and Bien, S A and Wassel, C L and Chen, Y-DI and Taylor, K D and Allison, M and Rotter, J I and Schreiner, P J and Schumacher, F and Wilkens, L and Boerwinkle, E and Kooperberg, C and Peters, U and Buyske, S and Graff, M and North, K E} } @article {7595, title = {Genetic Interactions with Age, Sex, Body Mass Index, and Hypertension in Relation to Atrial Fibrillation: The AFGen Consortium.}, journal = {Sci Rep}, volume = {7}, year = {2017}, month = {2017 Sep 12}, pages = {11303}, abstract = {

It is unclear whether genetic markers interact with risk factors to influence atrial fibrillation (AF) risk. We performed genome-wide interaction analyses between genetic variants and age, sex, hypertension, and body mass index in the AFGen Consortium. Study-specific results were combined using meta-analysis (88,383 individuals of European descent, including 7,292 with AF). Variants with nominal interaction associations in the discovery analysis were tested for association in four independent studies (131,441 individuals, including 5,722 with AF). In the discovery analysis, the AF risk associated with the minor rs6817105 allele (at the PITX2 locus) was greater among subjects <= 65 years of age than among those > 65 years (interaction p-value = 4.0 {\texttimes} 10-5). The interaction p-value exceeded genome-wide significance in combined discovery and replication analyses (interaction p-value = 1.7 {\texttimes} 10-8). We observed one genome-wide significant interaction with body mass index and several suggestive interactions with age, sex, and body mass index in the discovery analysis. However, none was replicated in the independent sample. Our findings suggest that the pathogenesis of AF may differ according to age in individuals of European descent, but we did not observe evidence of statistically significant genetic interactions with sex, body mass index, or hypertension on AF risk.

}, issn = {2045-2322}, doi = {10.1038/s41598-017-09396-7}, author = {Weng, Lu-Chen and Lunetta, Kathryn L and M{\"u}ller-Nurasyid, Martina and Smith, Albert Vernon and Th{\'e}riault, S{\'e}bastien and Weeke, Peter E and Barnard, John and Bis, Joshua C and Lyytik{\"a}inen, Leo-Pekka and Kleber, Marcus E and Martinsson, Andreas and Lin, Henry J and Rienstra, Michiel and Trompet, Stella and Krijthe, Bouwe P and D{\"o}rr, Marcus and Klarin, Derek and Chasman, Daniel I and Sinner, Moritz F and Waldenberger, Melanie and Launer, Lenore J and Harris, Tamara B and Soliman, Elsayed Z and Alonso, Alvaro and Par{\'e}, Guillaume and Teixeira, Pedro L and Denny, Joshua C and Shoemaker, M Benjamin and Van Wagoner, David R and Smith, Jonathan D and Psaty, Bruce M and Sotoodehnia, Nona and Taylor, Kent D and K{\"a}h{\"o}nen, Mika and Nikus, Kjell and Delgado, Graciela E and Melander, Olle and Engstr{\"o}m, Gunnar and Yao, Jie and Guo, Xiuqing and Christophersen, Ingrid E and Ellinor, Patrick T and Geelhoed, Bastiaan and Verweij, Niek and Macfarlane, Peter and Ford, Ian and Heeringa, Jan and Franco, Oscar H and Uitterlinden, Andr{\'e} G and V{\"o}lker, Uwe and Teumer, Alexander and Rose, Lynda M and K{\"a}{\"a}b, Stefan and Gudnason, Vilmundur and Arking, Dan E and Conen, David and Roden, Dan M and Chung, Mina K and Heckbert, Susan R and Benjamin, Emelia J and Lehtim{\"a}ki, Terho and M{\"a}rz, Winfried and Smith, J Gustav and Rotter, Jerome I and van der Harst, Pim and Jukema, J Wouter and Stricker, Bruno H and Felix, Stephan B and Albert, Christine M and Lubitz, Steven A} } @article {7345, title = {Genetic loci associated with chronic obstructive pulmonary disease overlap with loci for lung function and pulmonary fibrosis.}, journal = {Nat Genet}, volume = {49}, year = {2017}, month = {2017 Mar}, pages = {426-432}, abstract = {

Chronic obstructive pulmonary disease (COPD) is a leading cause of mortality worldwide. We performed a genetic association study in 15,256 cases and 47,936 controls, with replication of select top results (P < 5 {\texttimes} 10(-6)) in 9,498 cases and 9,748 controls. In the combined meta-analysis, we identified 22 loci associated at genome-wide significance, including 13 new associations with COPD. Nine of these 13 loci have been associated with lung function in general population samples, while 4 (EEFSEC, DSP, MTCL1, and SFTPD) are new. We noted two loci shared with pulmonary fibrosis (FAM13A and DSP) but that had opposite risk alleles for COPD. None of our loci overlapped with genome-wide associations for asthma, although one locus has been implicated in joint susceptibility to asthma and obesity. We also identified genetic correlation between COPD and asthma. Our findings highlight new loci associated with COPD, demonstrate the importance of specific loci associated with lung function to COPD, and identify potential regions of genetic overlap between COPD and other respiratory diseases.

}, issn = {1546-1718}, doi = {10.1038/ng.3752}, author = {Hobbs, Brian D and de Jong, Kim and Lamontagne, Maxime and Boss{\'e}, Yohan and Shrine, Nick and Artigas, Maria Soler and Wain, Louise V and Hall, Ian P and Jackson, Victoria E and Wyss, Annah B and London, Stephanie J and North, Kari E and Franceschini, Nora and Strachan, David P and Beaty, Terri H and Hokanson, John E and Crapo, James D and Castaldi, Peter J and Chase, Robert P and Bartz, Traci M and Heckbert, Susan R and Psaty, Bruce M and Gharib, Sina A and Zanen, Pieter and Lammers, Jan W and Oudkerk, Matthijs and Groen, H J and Locantore, Nicholas and Tal-Singer, Ruth and Rennard, Stephen I and Vestbo, J{\o}rgen and Timens, Wim and Par{\'e}, Peter D and Latourelle, Jeanne C and Dupuis, Jos{\'e}e and O{\textquoteright}Connor, George T and Wilk, Jemma B and Kim, Woo Jin and Lee, Mi Kyeong and Oh, Yeon-Mok and Vonk, Judith M and de Koning, Harry J and Leng, Shuguang and Belinsky, Steven A and Tesfaigzi, Yohannes and Manichaikul, Ani and Wang, Xin-Qun and Rich, Stephen S and Barr, R Graham and Sparrow, David and Litonjua, Augusto A and Bakke, Per and Gulsvik, Amund and Lahousse, Lies and Brusselle, Guy G and Stricker, Bruno H and Uitterlinden, Andr{\'e} G and Ampleford, Elizabeth J and Bleecker, Eugene R and Woodruff, Prescott G and Meyers, Deborah A and Qiao, Dandi and Lomas, David A and Yim, Jae-Joon and Kim, Deog Kyeom and Hawrylkiewicz, Iwona and Sliwinski, Pawel and Hardin, Megan and Fingerlin, Tasha E and Schwartz, David A and Postma, Dirkje S and MacNee, William and Tobin, Martin D and Silverman, Edwin K and Boezen, H Marike and Cho, Michael H} } @article {7579, title = {Genetic loci associated with heart rate variability and their effects on cardiac disease risk.}, journal = {Nat Commun}, volume = {8}, year = {2017}, month = {2017 Jun 14}, pages = {15805}, abstract = {

Reduced cardiac vagal control reflected in low heart rate variability (HRV) is associated with greater risks for cardiac morbidity and mortality. In two-stage meta-analyses of genome-wide association studies for three HRV traits in up to 53,174 individuals of European ancestry, we detect 17 genome-wide significant SNPs in eight loci. HRV SNPs tag non-synonymous SNPs (in NDUFA11 and KIAA1755), expression quantitative trait loci (eQTLs) (influencing GNG11, RGS6 and NEO1), or are located in genes preferentially expressed in the sinoatrial node (GNG11, RGS6 and HCN4). Genetic risk scores account for 0.9 to 2.6\% of the HRV variance. Significant genetic correlation is found for HRV with heart rate (-0.74}, issn = {2041-1723}, doi = {10.1038/ncomms15805}, author = {Nolte, Ilja M and Munoz, M Loretto and Tragante, Vinicius and Amare, Azmeraw T and Jansen, Rick and Vaez, Ahmad and von der Heyde, Benedikt and Avery, Christy L and Bis, Joshua C and Dierckx, Bram and van Dongen, Jenny and Gogarten, Stephanie M and Goyette, Philippe and Hernesniemi, Jussi and Huikari, Ville and Hwang, Shih-Jen and Jaju, Deepali and Kerr, Kathleen F and Kluttig, Alexander and Krijthe, Bouwe P and Kumar, Jitender and van der Laan, Sander W and Lyytik{\"a}inen, Leo-Pekka and Maihofer, Adam X and Minassian, Arpi and van der Most, Peter J and M{\"u}ller-Nurasyid, Martina and Nivard, Michel and Salvi, Erika and Stewart, James D and Thayer, Julian F and Verweij, Niek and Wong, Andrew and Zabaneh, Delilah and Zafarmand, Mohammad H and Abdellaoui, Abdel and Albarwani, Sulayma and Albert, Christine and Alonso, Alvaro and Ashar, Foram and Auvinen, Juha and Axelsson, Tomas and Baker, Dewleen G and de Bakker, Paul I W and Barcella, Matteo and Bayoumi, Riad and Bieringa, Rob J and Boomsma, Dorret and Boucher, Gabrielle and Britton, Annie R and Christophersen, Ingrid and Dietrich, Andrea and Ehret, George B and Ellinor, Patrick T and Eskola, Markku and Felix, Janine F and Floras, John S and Franco, Oscar H and Friberg, Peter and Gademan, Maaike G J and Geyer, Mark A and Giedraitis, Vilmantas and Hartman, Catharina A and Hemerich, Daiane and Hofman, Albert and Hottenga, Jouke-Jan and Huikuri, Heikki and Hutri-K{\"a}h{\"o}nen, Nina and Jouven, Xavier and Junttila, Juhani and Juonala, Markus and Kiviniemi, Antti M and Kors, Jan A and Kumari, Meena and Kuznetsova, Tatiana and Laurie, Cathy C and Lefrandt, Joop D and Li, Yong and Li, Yun and Liao, Duanping and Limacher, Marian C and Lin, Henry J and Lindgren, Cecilia M and Lubitz, Steven A and Mahajan, Anubha and McKnight, Barbara and Zu Schwabedissen, Henriette Meyer and Milaneschi, Yuri and Mononen, Nina and Morris, Andrew P and Nalls, Mike A and Navis, Gerjan and Neijts, Melanie and Nikus, Kjell and North, Kari E and O{\textquoteright}Connor, Daniel T and Ormel, Johan and Perz, Siegfried and Peters, Annette and Psaty, Bruce M and Raitakari, Olli T and Risbrough, Victoria B and Sinner, Moritz F and Siscovick, David and Smit, Johannes H and Smith, Nicholas L and Soliman, Elsayed Z and Sotoodehnia, Nona and Staessen, Jan A and Stein, Phyllis K and Stilp, Adrienne M and Stolarz-Skrzypek, Katarzyna and Strauch, Konstantin and Sundstr{\"o}m, Johan and Swenne, Cees A and Syv{\"a}nen, Ann-Christine and Tardif, Jean-Claude and Taylor, Kent D and Teumer, Alexander and Thornton, Timothy A and Tinker, Lesley E and Uitterlinden, Andr{\'e} G and van Setten, Jessica and Voss, Andreas and Waldenberger, Melanie and Wilhelmsen, Kirk C and Willemsen, Gonneke and Wong, Quenna and Zhang, Zhu-Ming and Zonderman, Alan B and Cusi, Daniele and Evans, Michele K and Greiser, Halina K and van der Harst, Pim and Hassan, Mohammad and Ingelsson, Erik and Jarvelin, Marjo-Riitta and K{\"a}{\"a}b, Stefan and K{\"a}h{\"o}nen, Mika and Kivimaki, Mika and Kooperberg, Charles and Kuh, Diana and Lehtim{\"a}ki, Terho and Lind, Lars and Nievergelt, Caroline M and O{\textquoteright}Donnell, Chris J and Oldehinkel, Albertine J and Penninx, Brenda and Reiner, Alexander P and Riese, Harri{\"e}tte and van Roon, Arie M and Rioux, John D and Rotter, Jerome I and Sofer, Tamar and Stricker, Bruno H and Tiemeier, Henning and Vrijkotte, Tanja G M and Asselbergs, Folkert W and Brundel, Bianca J J M and Heckbert, Susan R and Whitsel, Eric A and den Hoed, Marcel and Snieder, Harold and de Geus, Eco J C} } @article {8557, title = {{Genetic Risk Prediction of Atrial Fibrillation}, journal = {Circulation}, volume = {135}, year = {2017}, month = {Apr}, pages = {1311{\textendash}1320}, abstract = {Atrial fibrillation (AF) has a substantial genetic basis. Identification of individuals at greatest AF risk could minimize the incidence of cardioembolic stroke.\ To determine whether genetic data can stratify risk for development of AF, we examined associations between AF genetic risk scores and incident AF in 5 prospective studies comprising 18 919 individuals of European ancestry. We examined associations between AF genetic risk scores and ischemic stroke in a separate study of 509 ischemic stroke cases (202 cardioembolic [40\%]) and 3028 referents. Scores were based on 11 to 719 common variants ({\^a}{\textperthousand}{\textyen}5\%) associated with AF at P values ranging from <1{\~A}{\textemdash}10-3 to <1{\~A}{\textemdash}10-8 in a prior independent genetic association study.\ Incident AF occurred in 1032 individuals (5.5\%). AF genetic risk scores were associated with new-onset AF after adjustment for clinical risk factors. The pooled hazard ratio for incident AF for the highest versus lowest quartile of genetic risk scores ranged from 1.28 (719 variants; 95\% confidence interval, 1.13-1.46; P=1.5{\~A}{\textemdash}10-4) to 1.67 (25 variants; 95\% confidence interval, 1.47-1.90; P=9.3{\~A}{\textemdash}10-15). Discrimination of combined clinical and genetic risk scores varied across studies and scores (maximum C statistic, 0.629-0.811; maximum {\^I}{\textquotedblright}C statistic from clinical score alone, 0.009-0.017). AF genetic risk was associated with stroke in age- and sex-adjusted models. For example, individuals in the highest versus lowest quartile of a 127-variant score had a 2.49-fold increased odds of cardioembolic stroke (95\% confidence interval, 1.39-4.58; P=2.7{\~A}{\textemdash}10-3). The effect persisted after the exclusion of individuals (n=70) with known AF (odds ratio, 2.25; 95\% confidence interval, 1.20-4.40; P=0.01).\ Comprehensive AF genetic risk scores were associated with incident AF beyond associations for clinical AF risk factors but offered small improvements in discrimination. AF genetic risk was also associated with cardioembolic stroke in age- and sex-adjusted analyses. Efforts are warranted to determine whether AF genetic risk may improve identification of subclinical AF or help distinguish between stroke mechanisms.}, author = {Lubitz, S. A. and Yin, X. and Lin, H. J. and Kolek, M. and Smith, J. G. and Trompet, S. and Rienstra, M. and Rost, N. S. and Teixeira, P. L. and Almgren, P. and Anderson, C. D. and Chen, L. Y. and Engstr?m, G. and Ford, I. and Furie, K. L. and Guo, X. and Larson, M. G. and Lunetta, K. L. and Macfarlane, P. W. and Psaty, B. M. and Soliman, E. Z. and Sotoodehnia, N. and Stott, D. J. and Taylor, K. D. and Weng, L. C. and Yao, J. and Geelhoed, B. and Verweij, N. and Siland, J. E. and Kathiresan, S. and Roselli, C. and Roden, D. M. and van der Harst, P. and Darbar, D. and Jukema, J. W. and Melander, O. and Rosand, J. and Rotter, J. I. and Heckbert, S. R. and Ellinor, P. T. and Alonso, A. and Benjamin, E. J.} } @article {7590, title = {Genetically Determined Plasma Lipid Levels and Risk of Diabetic Retinopathy: A Mendelian Randomization Study.}, journal = {Diabetes}, volume = {66}, year = {2017}, month = {2017 12}, pages = {3130-3141}, abstract = {

Results from observational studies examining dyslipidemia as a risk factor for diabetic retinopathy (DR) have been inconsistent. We evaluated the causal relationship between plasma lipids and DR using a Mendelian randomization approach. We pooled genome-wide association studies summary statistics from 18 studies for two DR phenotypes: any DR (N = 2,969 case and 4,096 control subjects) and severe DR (N = 1,277 case and 3,980 control subjects). Previously identified lipid-associated single nucleotide polymorphisms served as instrumental variables. Meta-analysis to combine the Mendelian randomization estimates from different cohorts was conducted. There was no statistically significant change in odds ratios of having any DR or severe DR for any of the lipid fractions in the primary analysis that used single nucleotide polymorphisms that did not have a pleiotropic effect on another lipid fraction. Similarly, there was no significant association in the Caucasian and Chinese subgroup analyses. This study did not show evidence of a causal role of the four lipid fractions on DR. However, the study had limited power to detect odds ratios less than 1.23 per SD in genetically induced increase in plasma lipid levels, thus we cannot exclude that causal relationships with more modest effect sizes exist.

}, keywords = {Aged, Diabetic Retinopathy, Female, Genome-Wide Association Study, Humans, Lipids, Male, Mendelian Randomization Analysis, Middle Aged, Polymorphism, Single Nucleotide, Risk}, issn = {1939-327X}, doi = {10.2337/db17-0398}, author = {Sobrin, Lucia and Chong, Yong He and Fan, Qiao and Gan, Alfred and Stanwyck, Lynn K and Kaidonis, Georgia and Craig, Jamie E and Kim, Jihye and Liao, Wen-Ling and Huang, Yu-Chuen and Lee, Wen-Jane and Hung, Yi-Jen and Guo, Xiuqing and Hai, Yang and Ipp, Eli and Pollack, Samuela and Hancock, Heather and Price, Alkes and Penman, Alan and Mitchell, Paul and Liew, Gerald and Smith, Albert V and Gudnason, Vilmundur and Tan, Gavin and Klein, Barbara E K and Kuo, Jane and Li, Xiaohui and Christiansen, Mark W and Psaty, Bruce M and Sandow, Kevin and Jensen, Richard A and Klein, Ronald and Cotch, Mary Frances and Wang, Jie Jin and Jia, Yucheng and Chen, Ching J and Chen, Yii-Der Ida and Rotter, Jerome I and Tsai, Fuu-Jen and Hanis, Craig L and Burdon, Kathryn P and Wong, Tien Yin and Cheng, Ching-Yu} } @article {8560, title = {{Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk}, journal = {Nat Genet}, volume = {49}, year = {2017}, month = {Mar}, pages = {403{\textendash}415}, abstract = {Elevated blood pressure is the leading heritable risk factor for cardiovascular disease worldwide. We report genetic association of blood pressure (systolic, diastolic, pulse pressure) among UK Biobank participants of European ancestry with independent replication in other cohorts, and robust validation of 107 independent loci. We also identify new independent variants at 11 previously reported blood pressure loci. In combination with results from a range of in silico functional analyses and wet bench experiments, our findings highlight new biological pathways for blood pressure regulation enriched for genes expressed in vascular tissues and identify potential therapeutic targets for hypertension. Results from genetic risk score models raise the possibility of a precision medicine approach through early lifestyle intervention to offset the impact of blood pressure-raising genetic variants on future cardiovascular disease risk.}, author = {Warren, H. R. and Evangelou, E. and Cabrera, C. P. and Gao, H. and Ren, M. and Mifsud, B. and Ntalla, I. and Surendran, P. and Liu, C. and Cook, J. P. and Kraja, A. T. and Drenos, F. and Loh, M. and Verweij, N. and Marten, J. and Karaman, I. and Lepe, M. P. and O{\textquoteright}Reilly, P. F. and Knight, J. and Snieder, H. and Kato, N. and He, J. and Tai, E. S. and Said, M. A. and Porteous, D. and Alver, M. and Poulter, N. and Farrall, M. and Gansevoort, R. T. and Padmanabhan, S. and M?gi, R. and Stanton, A. and Connell, J. and Bakker, S. J. and Metspalu, A. and Shields, D. C. and Thom, S. and Brown, M. and Sever, P. and Esko, T. and Hayward, C. and van der Harst, P. and Saleheen, D. and Chowdhury, R. and Chambers, J. C. and Chasman, D. I. and Chakravarti, A. and Newton-Cheh, C. and Lindgren, C. M. and Levy, D. and Kooner, J. S. and Keavney, B. and Tomaszewski, M. and Samani, N. J. and Howson, J. M. and Tobin, M. D. and Munroe, P. B. and Ehret, G. B. and Wain, L. V. and V?lker, U. and Vollenweider, P. and Wild, S. and Willemsen, G. and Wright, A. F. and Yao, J. and Th?riault, S. and Conen, D. and John, A. and Sever, P. and Debette, S. and Mook-Kanamori, D. O. and Zeggini, E. and Spector, T. D. and van der Harst, P. and Palmer, C. N. and Vergnaud, A. C. and Loos, R. J. and Polasek, O. and Starr, J. M. and Girotto, G. and Hayward, C. and Kooner, J. S. and Lindgren, C. M. and Vitart, V. and Samani, N. J. and Tuomilehto, J. and Gyllensten, U. and Knekt, P. and Deary, I. J. and Ciullo, M. and Elosua, R. and Keavney, B. D. and Hicks, A. A. and Scott, R. A. and Gasparini, P. and Laan, M. and Liu, Y. and Watkins, H. and Hartman, C. A. and Salomaa, V. and Toniolo, D. and Perola, M. and Wilson, J. F. and Schmidt, H. and Zhao, J. H. and Lehtim?ki, T. and van Duijn, C. M. and Gudnason, V. and Psaty, B. M. and Peters, A. and Rettig, R. and James, A. and Jukema, J. W. and Strachan, D. P. and Palmas, W. and Metspalu, A. and Ingelsson, E. and Boomsma, D. I. and Franco, O. H. and Bochud, M. and Newton-Cheh, C. and Munroe, P. B. and Elliott, P. and Chasman, D. I. and Chakravarti, A. and Knight, J. and Morris, A. P. and Levy, D. and Tobin, M. D. and Snieder, H. and Caulfield, M. J. and Ehret, G. B. and Barnes, M. R. and Tzoulaki, I. and Caulfield, M. J. and Elliott, P.} } @article {7578, title = {Genome-wide association meta-analysis of fish and EPA+DHA consumption in 17 US and European cohorts.}, journal = {PLoS One}, volume = {12}, year = {2017}, month = {2017}, pages = {e0186456}, abstract = {

BACKGROUND: Regular fish and omega-3 consumption may have several health benefits and are recommended by major dietary guidelines. Yet, their intakes remain remarkably variable both within and across populations, which could partly owe to genetic influences.

OBJECTIVE: To identify common genetic variants that influence fish and dietary eicosapentaenoic acid plus docosahexaenoic acid (EPA+DHA) consumption.

DESIGN: We conducted genome-wide association (GWA) meta-analysis of fish (n = 86,467) and EPA+DHA (n = 62,265) consumption in 17 cohorts of European descent from the CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology) Consortium Nutrition Working Group. Results from cohort-specific GWA analyses (additive model) for fish and EPA+DHA consumption were adjusted for age, sex, energy intake, and population stratification, and meta-analyzed separately using fixed-effect meta-analysis with inverse variance weights (METAL software). Additionally, heritability was estimated in 2 cohorts.

RESULTS: Heritability estimates for fish and EPA+DHA consumption ranged from 0.13-0.24 and 0.12-0.22, respectively. A significant GWA for fish intake was observed for rs9502823 on chromosome 6: each copy of the minor allele (FreqA = 0.015) was associated with 0.029 servings/day (~1 serving/month) lower fish consumption (P = 1.96x10-8). No significant association was observed for EPA+DHA, although rs7206790 in the obesity-associated FTO gene was among top hits (P = 8.18x10-7). Post-hoc calculations demonstrated 95\% statistical power to detect a genetic variant associated with effect size of 0.05\% for fish and 0.08\% for EPA+DHA.

CONCLUSIONS: These novel findings suggest that non-genetic personal and environmental factors are principal determinants of the remarkable variation in fish consumption, representing modifiable targets for increasing intakes among all individuals. Genes underlying the signal at rs72838923 and mechanisms for the association warrant further investigation.

}, keywords = {Adult, Aged, Cohort Studies, Docosahexaenoic Acids, Eicosapentaenoic Acid, Europe, European Continental Ancestry Group, Female, Genome-Wide Association Study, Humans, Male, Middle Aged, Seafood, United States}, issn = {1932-6203}, doi = {10.1371/journal.pone.0186456}, author = {Mozaffarian, Dariush and Dashti, Hassan S and Wojczynski, Mary K and Chu, Audrey Y and Nettleton, Jennifer A and M{\"a}nnist{\"o}, Satu and Kristiansson, Kati and Reedik, M{\"a}gi and Lahti, Jari and Houston, Denise K and Cornelis, Marilyn C and van Rooij, Frank J A and Dimitriou, Maria and Kanoni, Stavroula and Mikkil{\"a}, Vera and Steffen, Lyn M and de Oliveira Otto, Marcia C and Qi, Lu and Psaty, Bruce and Djouss{\'e}, Luc and Rotter, Jerome I and Harald, Kennet and Perola, Markus and Rissanen, Harri and Jula, Antti and Krista, Fischer and Mihailov, Evelin and Feitosa, Mary F and Ngwa, Julius S and Xue, Luting and Jacques, Paul F and Per{\"a}l{\"a}, Mia-Maria and Palotie, Aarno and Liu, Yongmei and Nalls, Nike A and Ferrucci, Luigi and Hernandez, Dena and Manichaikul, Ani and Tsai, Michael Y and Kiefte-de Jong, Jessica C and Hofman, Albert and Uitterlinden, Andr{\'e} G and Rallidis, Loukianos and Ridker, Paul M and Rose, Lynda M and Buring, Julie E and Lehtim{\"a}ki, Terho and K{\"a}h{\"o}nen, Mika and Viikari, Jorma and Lemaitre, Rozenn and Salomaa, Veikko and Knekt, Paul and Metspalu, Andres and Borecki, Ingrid B and Cupples, L Adrienne and Eriksson, Johan G and Kritchevsky, Stephen B and Bandinelli, Stefania and Siscovick, David and Franco, Oscar H and Deloukas, Panos and Dedoussis, George and Chasman, Daniel I and Raitakari, Olli and Tanaka, Toshiko} } @article {7571, title = {Genome-Wide Association Study Meta-Analysis of Long-Term Average Blood Pressure in East Asians.}, journal = {Circ Cardiovasc Genet}, volume = {10}, year = {2017}, month = {2017 Apr}, pages = {e001527}, abstract = {

BACKGROUND: Genome-wide single marker and gene-based meta-analyses of long-term average (LTA) blood pressure (BP) phenotypes may reveal novel findings for BP.

METHODS AND RESULTS: We conducted genome-wide analysis among 18 422 East Asian participants (stage 1) followed by replication study of <=46 629 participants of European ancestry (stage 2). Significant single-nucleotide polymorphisms and genes were determined by a P<5.0{\texttimes}10-8 and 2.5{\texttimes}10-6, respectively, in joint analyses of stage-1 and stage-2 data. We identified 1 novel ARL3 variant, rs4919669 at 10q24.32, influencing LTA systolic BP (stage-1 P=5.03{\texttimes}10-8, stage-2 P=8.64{\texttimes}10-3, joint P=2.63{\texttimes}10-8) and mean arterial pressure (stage-1 P=3.59{\texttimes}10-9, stage-2 P=2.35{\texttimes}10-2, joint P=2.64{\texttimes}10-8). Three previously reported BP loci (WBP1L, NT5C2, and ATP2B1) were also identified for all BP phenotypes. Gene-based analysis provided the first robust evidence for association of KCNJ11 with LTA systolic BP (stage-1 P=8.55{\texttimes}10-6, stage-2 P=1.62{\texttimes}10-5, joint P=3.28{\texttimes}10-9) and mean arterial pressure (stage-1 P=9.19{\texttimes}10-7, stage-2 P=9.69{\texttimes}10-5, joint P=2.15{\texttimes}10-9) phenotypes. Fourteen genes (TMEM180, ACTR1A, SUFU, ARL3, SFXN2, WBP1L, CYP17A1, C10orf32, C10orf32-ASMT, AS3MT, CNNM2, and NT5C2 at 10q24.32; ATP2B1 at 12q21.33; and NCR3LG1 at 11p15.1) implicated by previous genome-wide association study meta-analyses were also identified. Among the loci identified by the previous genome-wide association study meta-analysis of LTA BP, we transethnically replicated associations of the KCNK3 marker rs1275988 at 2p23.3 with LTA systolic BP and mean arterial pressure phenotypes (P=1.27{\texttimes}10-4 and 3.30{\texttimes}10-4, respectively).

CONCLUSIONS: We identified 1 novel variant and 1 novel gene and present the first direct evidence of relevance of the KCNK3 locus for LTA BP among East Asians.

}, keywords = {Asian Continental Ancestry Group, Blood Pressure, Far East, Female, Genetic Loci, Genome-Wide Association Study, Humans, Male, Phenotype, Polymorphism, Single Nucleotide}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.116.001527}, author = {Li, Changwei and Kim, Yun Kyoung and Dorajoo, Rajkumar and Li, Huaixing and Lee, I-Te and Cheng, Ching-Yu and He, Meian and Sheu, Wayne H-H and Guo, Xiuqing and Ganesh, Santhi K and He, Jiang and Lee, Juyoung and Liu, Jianjun and Hu, Yao and Rao, Dabeeru C and Tsai, Fuu-Jen and Koh, Jia Yu and Hu, Hua and Liang, Kae-Woei and Palmas, Walter and Hixson, James E and Han, Sohee and Teo, Yik-Ying and Wang, Yiqin and Chen, Jing and Lu, Chieh Hsiang and Zheng, Yingfeng and Gui, Lixuan and Lee, Wen-Jane and Yao, Jie and Gu, Dongfeng and Han, Bok-Ghee and Sim, Xueling and Sun, Liang and Zhao, Jinying and Chen, Chien-Hsiun and Kumari, Neelam and He, Yunfeng and Taylor, Kent D and Raffel, Leslie J and Moon, Sanghoon and Rotter, Jerome I and Ida Chen, Yii-Der and Wu, Tangchun and Wong, Tien Yin and Wu, Jer-Yuarn and Lin, Xu and Tai, E-Shyong and Kim, Bong-Jo and Kelly, Tanika N} } @article {7353, title = {A genome-wide interaction analysis of tricyclic/tetracyclic antidepressants and RR and QT intervals: a pharmacogenomics study from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium.}, journal = {J Med Genet}, volume = {54}, year = {2017}, month = {2017 May}, pages = {313-323}, abstract = {

BACKGROUND: Increased heart rate and a prolonged QT interval are important risk factors for cardiovascular morbidity and mortality, and can be influenced by the use of various medications, including tricyclic/tetracyclic antidepressants (TCAs). We aim to identify genetic loci that modify the association between TCA use and RR and QT intervals.

METHODS AND RESULTS: We conducted race/ethnic-specific genome-wide interaction analyses (with HapMap phase II imputed reference panel imputation) of TCAs and resting RR and QT intervals in cohorts of European (n=45 706; n=1417 TCA users), African (n=10 235; n=296 TCA users) and Hispanic/Latino (n=13 808; n=147 TCA users) ancestry, adjusted for clinical covariates. Among the populations of European ancestry, two genome-wide significant loci were identified for RR interval: rs6737205 in BRE (β=56.3, pinteraction=3.9e(-9)) and rs9830388 in UBE2E2 (β=25.2, pinteraction=1.7e(-8)). In Hispanic/Latino cohorts, rs2291477 in TGFBR3 significantly modified the association between TCAs and QT intervals (β=9.3, pinteraction=2.55e(-8)). In the meta-analyses of the other ethnicities, these loci either were excluded from the meta-analyses (as part of quality control), or their effects did not reach the level of nominal statistical significance (pinteraction>0.05). No new variants were identified in these ethnicities. No additional loci were identified after inverse-variance-weighted meta-analysis of the three ancestries.

CONCLUSIONS: Among Europeans, TCA interactions with variants in BRE and UBE2E2 were identified in relation to RR intervals. Among Hispanic/Latinos, variants in TGFBR3 modified the relation between TCAs and QT intervals. Future studies are required to confirm our results.

}, issn = {1468-6244}, doi = {10.1136/jmedgenet-2016-104112}, author = {Noordam, Raymond and Sitlani, Colleen M and Avery, Christy L and Stewart, James D and Gogarten, Stephanie M and Wiggins, Kerri L and Trompet, Stella and Warren, Helen R and Sun, Fangui and Evans, Daniel S and Li, Xiaohui and Li, Jin and Smith, Albert V and Bis, Joshua C and Brody, Jennifer A and Busch, Evan L and Caulfield, Mark J and Chen, Yii-der I and Cummings, Steven R and Cupples, L Adrienne and Duan, Qing and Franco, Oscar H and M{\'e}ndez-Gir{\'a}ldez, R{\'a}ul and Harris, Tamara B and Heckbert, Susan R and van Heemst, Diana and Hofman, Albert and Floyd, James S and Kors, Jan A and Launer, Lenore J and Li, Yun and Li-Gao, Ruifang and Lange, Leslie A and Lin, Henry J and de Mutsert, Ren{\'e}e and Napier, Melanie D and Newton-Cheh, Christopher and Poulter, Neil and Reiner, Alexander P and Rice, Kenneth M and Roach, Jeffrey and Rodriguez, Carlos J and Rosendaal, Frits R and Sattar, Naveed and Sever, Peter and Seyerle, Amanda A and Slagboom, P Eline and Soliman, Elsayed Z and Sotoodehnia, Nona and Stott, David J and St{\"u}rmer, Til and Taylor, Kent D and Thornton, Timothy A and Uitterlinden, Andr{\'e} G and Wilhelmsen, Kirk C and Wilson, James G and Gudnason, Vilmundur and Jukema, J Wouter and Laurie, Cathy C and Liu, Yongmei and Mook-Kanamori, Dennis O and Munroe, Patricia B and Rotter, Jerome I and Vasan, Ramachandran S and Psaty, Bruce M and Stricker, Bruno H and Whitsel, Eric A} } @article {7588, title = {Genome-Wide Interactions with Dairy Intake for Body Mass Index in Adults of European Descent.}, journal = {Mol Nutr Food Res}, year = {2017}, month = {2017 Sep 21}, abstract = {

SCOPE: Body weight responds variably to the intake of dairy foods. Genetic variation may contribute to inter-individual variability in associations between body weight and dairy consumption.

METHODS AND RESULTS: A genome-wide interaction study to discover genetic variants that account for variation in BMI in the context of low-fat, high-fat and total dairy intake in cross-sectional analysis was conducted. Data from nine discovery studies (up to 25 513 European descent individuals) were meta-analyzed. Twenty-six genetic variants reached the selected significance threshold (p-interaction <10-7) , and six independent variants (LINC01512-rs7751666, PALM2/AKAP2-rs914359, ACTA2-rs1388, PPP1R12A-rs7961195, LINC00333-rs9635058, AC098847.1-rs1791355) were evaluated meta-analytically for replication of interaction in up to 17 675 individuals. Variant rs9635058 (128 kb 3{\textquoteright} of LINC00333) was replicated (p-interaction = 0.004). In the discovery cohorts, rs9635058 interacted with dairy (p-interaction = 7.36 {\texttimes} 10-8) such that each serving of low-fat dairy was associated with 0.225 kg m-2 lower BMI per each additional copy of the effect allele (A). A second genetic variant (ACTA2-rs1388) approached interaction replication significance for low-fat dairy exposure.

CONCLUSION: Body weight responses to dairy intake may be modified by genotype, in that greater dairy intake may protect a genetic subgroup from higher body weight.

}, issn = {1613-4133}, doi = {10.1002/mnfr.201700347}, author = {Smith, Caren E and Follis, Jack L and Dashti, Hassan S and Tanaka, Toshiko and Graff, Mariaelisa and Fretts, Amanda M and Kilpel{\"a}inen, Tuomas O and Wojczynski, Mary K and Richardson, Kris and Nalls, Mike A and Schulz, Christina-Alexandra and Liu, Yongmei and Frazier-Wood, Alexis C and van Eekelen, Esther and Wang, Carol and de Vries, Paul S and Mikkil{\"a}, Vera and Rohde, Rebecca and Psaty, Bruce M and Hansen, Torben and Feitosa, Mary F and Lai, Chao-Qiang and Houston, Denise K and Ferruci, Luigi and Ericson, Ulrika and Wang, Zhe and de Mutsert, Ren{\'e}e and Oddy, Wendy H and de Jonge, Ester A L and Sepp{\"a}l{\"a}, Ilkka and Justice, Anne E and Lemaitre, Rozenn N and S{\o}rensen, Thorkild I A and Province, Michael A and Parnell, Laurence D and Garcia, Melissa E and Bandinelli, Stefania and Orho-Melander, Marju and Rich, Stephen S and Rosendaal, Frits R and Pennell, Craig E and Kiefte-de Jong, Jessica C and K{\"a}h{\"o}nen, Mika and Young, Kristin L and Pedersen, Oluf and Aslibekyan, Stella and Rotter, Jerome I and Mook-Kanamori, Dennis O and Zillikens, M Carola and Raitakari, Olli T and North, Kari E and Overvad, Kim and Arnett, Donna K and Hofman, Albert and Lehtim{\"a}ki, Terho and Tj{\o}nneland, Anne and Uitterlinden, Andr{\'e} G and Rivadeneira, Fernando and Franco, Oscar H and German, J Bruce and Siscovick, David S and Cupples, L Adrienne and Ordovas, Jose M} } @article {7568, title = {Genome-wide meta-analysis associates HLA-DQA1/DRB1 and LPA and lifestyle factors with human longevity.}, journal = {Nat Commun}, volume = {8}, year = {2017}, month = {2017 Oct 13}, pages = {910}, abstract = {

Genomic analysis of longevity offers the potential to illuminate the biology of human aging. Here, using genome-wide association meta-analysis of 606,059 parents{\textquoteright} survival, we discover two regions associated with longevity (HLA-DQA1/DRB1 and LPA). We also validate previous suggestions that APOE, CHRNA3/5, CDKN2A/B, SH2B3 and FOXO3A influence longevity. Next we show that giving up smoking, educational attainment, openness to new experience and high-density lipoprotein (HDL) cholesterol levels are most positively genetically correlated with lifespan while susceptibility to coronary artery disease (CAD), cigarettes smoked per day, lung cancer, insulin resistance and body fat are most negatively correlated. We suggest that the effect of education on lifespan is principally mediated through smoking while the effect of obesity appears to act via CAD. Using instrumental variables, we suggest that an increase of one body mass index unit reduces lifespan by 7 months while 1 year of education adds 11 months to expected lifespan.Variability in human longevity is genetically influenced. Using genetic data of parental lifespan, the authors identify associations at HLA-DQA/DRB1 and LPA and find that genetic variants that increase educational attainment have a positive effect on lifespan whereas increasing BMI negatively affects lifespan.

}, issn = {2041-1723}, doi = {10.1038/s41467-017-00934-5}, author = {Joshi, Peter K and Pirastu, Nicola and Kentistou, Katherine A and Fischer, Krista and Hofer, Edith and Schraut, Katharina E and Clark, David W and Nutile, Teresa and Barnes, Catriona L K and Timmers, Paul R H J and Shen, Xia and Gandin, Ilaria and McDaid, Aaron F and Hansen, Thomas Folkmann and Gordon, Scott D and Giulianini, Franco and Boutin, Thibaud S and Abdellaoui, Abdel and Zhao, Wei and Medina-G{\'o}mez, Carolina and Bartz, Traci M and Trompet, Stella and Lange, Leslie A and Raffield, Laura and van der Spek, Ashley and Galesloot, Tessel E and Proitsi, Petroula and Yanek, Lisa R and Bielak, Lawrence F and Payton, Antony and Murgia, Federico and Concas, Maria Pina and Biino, Ginevra and Tajuddin, Salman M and Sepp{\"a}l{\"a}, Ilkka and Amin, Najaf and Boerwinkle, Eric and B{\o}rglum, Anders D and Campbell, Archie and Demerath, Ellen W and Demuth, Ilja and Faul, Jessica D and Ford, Ian and Gialluisi, Alessandro and G{\"o}gele, Martin and Graff, Mariaelisa and Hingorani, Aroon and Hottenga, Jouke-Jan and Hougaard, David M and Hurme, Mikko A and Ikram, M Arfan and Jylh{\"a}, Marja and Kuh, Diana and Ligthart, Lannie and Lill, Christina M and Lindenberger, Ulman and Lumley, Thomas and M{\"a}gi, Reedik and Marques-Vidal, Pedro and Medland, Sarah E and Milani, Lili and Nagy, Reka and Ollier, William E R and Peyser, Patricia A and Pramstaller, Peter P and Ridker, Paul M and Rivadeneira, Fernando and Ruggiero, Daniela and Saba, Yasaman and Schmidt, Reinhold and Schmidt, Helena and Slagboom, P Eline and Smith, Blair H and Smith, Jennifer A and Sotoodehnia, Nona and Steinhagen-Thiessen, Elisabeth and van Rooij, Frank J A and Verbeek, Andr{\'e} L and Vermeulen, Sita H and Vollenweider, Peter and Wang, Yunpeng and Werge, Thomas and Whitfield, John B and Zonderman, Alan B and Lehtim{\"a}ki, Terho and Evans, Michele K and Pirastu, Mario and Fuchsberger, Christian and Bertram, Lars and Pendleton, Neil and Kardia, Sharon L R and Ciullo, Marina and Becker, Diane M and Wong, Andrew and Psaty, Bruce M and van Duijn, Cornelia M and Wilson, James G and Jukema, J Wouter and Kiemeney, Lambertus and Uitterlinden, Andr{\'e} G and Franceschini, Nora and North, Kari E and Weir, David R and Metspalu, Andres and Boomsma, Dorret I and Hayward, Caroline and Chasman, Daniel and Martin, Nicholas G and Sattar, Naveed and Campbell, Harry and Esko, T{\~o}nu and Kutalik, Zolt{\'a}n and Wilson, James F} } @article {8554, title = {{Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits}, journal = {Nat Commun}, volume = {8}, year = {2017}, month = {04}, pages = {14977}, abstract = {Few genome-wide association studies (GWAS) account for environmental exposures, like smoking, potentially impacting the overall trait variance when investigating the genetic contribution to obesity-related traits. Here, we use GWAS data from 51,080 current smokers and 190,178 nonsmokers (87\% European descent) to identify loci influencing BMI and central adiposity, measured as waist circumference and waist-to-hip ratio both adjusted for BMI. We identify 23 novel genetic loci, and 9 loci with convincing evidence of gene-smoking interaction (GxSMK) on obesity-related traits. We show consistent direction of effect for all identified loci and significance for 18 novel and for 5 interaction loci in an independent study sample. These loci highlight novel biological functions, including response to oxidative stress, addictive behaviour, and regulatory functions emphasizing the importance of accounting for environment in genetic analyses. Our results suggest that tobacco smoking may alter the genetic susceptibility to overall adiposity and body fat distribution.}, author = {Justice, A. E. and Winkler, T. W. and Feitosa, M. F. and Graff, M. and Fisher, V. A. and Young, K. and Barata, L. and Deng, X. and Czajkowski, J. and Hadley, D. and Ngwa, J. S. and Ahluwalia, T. S. and Chu, A. Y. and Heard-Costa, N. L. and Lim, E. and Perez, J. and Eicher, J. D. and Kutalik, Z. and Xue, L. and Mahajan, A. and Renstr?m, F. and Wu, J. and Qi, Q. and Ahmad, S. and Alfred, T. and Amin, N. and Bielak, L. F. and Bonnefond, A. and Bragg, J. and Cadby, G. and Chittani, M. and Coggeshall, S. and Corre, T. and Direk, N. and Eriksson, J. and Fischer, K. and Gorski, M. and Neergaard Harder, M. and Horikoshi, M. and Huang, T. and Huffman, J. E. and Jackson, A. U. and Justesen, J. M. and Kanoni, S. and Kinnunen, L. and Kleber, M. E. and Komulainen, P. and Kumari, M. and Lim, U. and Luan, J. and Lyytik?inen, L. P. and Mangino, M. and Manichaikul, A. and Marten, J. and Middelberg, R. P. S. and M?ller-Nurasyid, M. and Navarro, P. and P?russe, L. and Pervjakova, N. and Sarti, C. and Smith, A. V. and Smith, J. A. and Stan??kov?, A. and Strawbridge, R. J. and Stringham, H. M. and Sung, Y. J. and Tanaka, T. and Teumer, A. and Trompet, S. and van der Laan, S. W. and van der Most, P. J. and Van Vliet-Ostaptchouk, J. V. and Vedantam, S. L. and Verweij, N. and Vink, J. M. and Vitart, V. and Wu, Y. and Yengo, L. and Zhang, W. and Hua Zhao, J. and Zimmermann, M. E. and Zubair, N. and Abecasis, G. R. and Adair, L. S. and Afaq, S. and Afzal, U. and Bakker, S. J. L. and Bartz, T. M. and Beilby, J. and Bergman, R. N. and Bergmann, S. and Biffar, R. and Blangero, J. and Boerwinkle, E. and Bonnycastle, L. L. and Bottinger, E. and Braga, D. and Buckley, B. M. and Buyske, S. and Campbell, H. and Chambers, J. C. and Collins, F. S. and Curran, J. E. and de Borst, G. J. and de Craen, A. J. M. and de Geus, E. J. C. and Dedoussis, G. and Delgado, G. E. and den Ruijter, H. M. and Eiriksdottir, G. and Eriksson, A. L. and Esko, T. and Faul, J. D. and Ford, I. and Forrester, T. and Gertow, K. and Gigante, B. and Glorioso, N. and Gong, J. and Grallert, H. and Grammer, T. B. and Grarup, N. and Haitjema, S. and Hallmans, G. and Hamsten, A. and Hansen, T. and Harris, T. B. and Hartman, C. A. and Hassinen, M. and Hastie, N. D. and Heath, A. C. and Hernandez, D. and Hindorff, L. and Hocking, L. J. and Hollensted, M. and Holmen, O. L. and Homuth, G. and Jan Hottenga, J. and Huang, J. and Hung, J. and Hutri-K?h?nen, N. and Ingelsson, E. and James, A. L. and Jansson, J. O. and Jarvelin, M. R. and Jhun, M. A. and J?rgensen, M. E. and Juonala, M. and K?h?nen, M. and Karlsson, M. and Koistinen, H. A. and Kolcic, I. and Kolovou, G. and Kooperberg, C. and Kr?mer, B. K. and Kuusisto, J. and Kval?y, K. and Lakka, T. A. and Langenberg, C. and Launer, L. J. and Leander, K. and Lee, N. R. and Lind, L. and Lindgren, C. M. and Linneberg, A. and Lobbens, S. and Loh, M. and Lorentzon, M. and Luben, R. and Lubke, G. and Ludolph-Donislawski, A. and Lupoli, S. and Madden, P. A. F. and M?nnikk?, R. and Marques-Vidal, P. and Martin, N. G. and McKenzie, C. A. and McKnight, B. and Mellstr?m, D. and Menni, C. and Montgomery, G. W. and Musk, A. B. and Narisu, N. and Nauck, M. and Nolte, I. M. and Oldehinkel, A. J. and Olden, M. and Ong, K. K. and Padmanabhan, S. and Peyser, P. A. and Pisinger, C. and Porteous, D. J. and Raitakari, O. T. and Rankinen, T. and Rao, D. C. and Rasmussen-Torvik, L. J. and Rawal, R. and Rice, T. and Ridker, P. M. and Rose, L. M. and Bien, S. A. and Rudan, I. and Sanna, S. and Sarzynski, M. A. and Sattar, N. and Savonen, K. and Schlessinger, D. and Scholtens, S. and Schurmann, C. and Scott, R. A. and Sennblad, B. and Siemelink, M. A. and Silbernagel, G. and Slagboom, P. E. and Snieder, H. and Staessen, J. A. and Stott, D. J. and Swertz, M. A. and Swift, A. J. and Taylor, K. D. and Tayo, B. O. and Thorand, B. and Thuillier, D. and Tuomilehto, J. and Uitterlinden, A. G. and Vandenput, L. and Vohl, M. C. and V?lzke, H. and Vonk, J. M. and Waeber, G. and Waldenberger, M. and Westendorp, R. G. J. and Wild, S. and Willemsen, G. and Wolffenbuttel, B. H. R. and Wong, A. and Wright, A. F. and Zhao, W. and Zillikens, M. C. and Baldassarre, D. and Balkau, B. and Bandinelli, S. and B?ger, C. A. and Boomsma, D. I. and Bouchard, C. and Bruinenberg, M. and Chasman, D. I. and Chen, Y. D. and Chines, P. S. and Cooper, R. S. and Cucca, F. and Cusi, D. and Faire, U. and Ferrucci, L. and Franks, P. W. and Froguel, P. and Gordon-Larsen, P. and Grabe, H. J. and Gudnason, V. and Haiman, C. A. and Hayward, C. and Hveem, K. and Johnson, A. D. and Wouter Jukema, J. and Kardia, S. L. R. and Kivimaki, M. and Kooner, J. S. and Kuh, D. and Laakso, M. and Lehtim?ki, T. and Marchand, L. L. and M?rz, W. and McCarthy, M. I. and Metspalu, A. and Morris, A. P. and Ohlsson, C. and Palmer, L. J. and Pasterkamp, G. and Pedersen, O. and Peters, A. and Peters, U. and Polasek, O. and Psaty, B. M. and Qi, L. and Rauramaa, R. and Smith, B. H. and S?rensen, T. I. A. and Strauch, K. and Tiemeier, H. and Tremoli, E. and van der Harst, P. and Vestergaard, H. and Vollenweider, P. and Wareham, N. J. and Weir, D. R. and Whitfield, J. B. and Wilson, J. F. and Tyrrell, J. and Frayling, T. M. and Barroso, I. and Boehnke, M. and Deloukas, P. and Fox, C. S. and Hirschhorn, J. N. and Hunter, D. J. and Spector, T. D. and Strachan, D. P. and van Duijn, C. M. and Heid, I. M. and Mohlke, K. L. and Marchini, J. and Loos, R. J. F. and Kilpel?inen, T. O. and Liu, C. T. and Borecki, I. B. and North, K. E. and Cupples, L. A.} } @article {7364, title = {Genome-wide Trans-ethnic Meta-analysis Identifies Seven Genetic Loci Influencing Erythrocyte Traits and a Role for RBPMS in Erythropoiesis.}, journal = {Am J Hum Genet}, volume = {100}, year = {2017}, month = {2017 Jan 05}, pages = {51-63}, abstract = {

Genome-wide association studies (GWASs) have identified loci for erythrocyte traits in primarily European ancestry populations. We conducted GWAS meta-analyses of six erythrocyte traits in 71,638 individuals from European, East Asian, and African ancestries using a Bayesian approach to account for heterogeneity in allelic effects and variation in the structure of linkage disequilibrium between ethnicities. We identified seven loci for erythrocyte traits including a locus (RBPMS/GTF2E2) associated with mean corpuscular hemoglobin and mean corpuscular volume. Statistical fine-mapping at this locus pointed to RBPMS at this locus and excluded nearby GTF2E2. Using zebrafish morpholino to evaluate loss of function, we observed a strong in~vivo erythropoietic effect for RBPMS but not for GTF2E2, supporting the statistical fine-mapping at this locus and demonstrating that RBPMS is a regulator of erythropoiesis. Our findings show the utility of trans-ethnic GWASs for discovery and characterization of genetic loci influencing hematologic traits.

}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2016.11.016}, author = {van Rooij, Frank J A and Qayyum, Rehan and Smith, Albert V and Zhou, Yi and Trompet, Stella and Tanaka, Toshiko and Keller, Margaux F and Chang, Li-Ching and Schmidt, Helena and Yang, Min-Lee and Chen, Ming-Huei and Hayes, James and Johnson, Andrew D and Yanek, Lisa R and Mueller, Christian and Lange, Leslie and Floyd, James S and Ghanbari, Mohsen and Zonderman, Alan B and Jukema, J Wouter and Hofman, Albert and van Duijn, Cornelia M and Desch, Karl C and Saba, Yasaman and Ozel, Ayse B and Snively, Beverly M and Wu, Jer-Yuarn and Schmidt, Reinhold and Fornage, Myriam and Klein, Robert J and Fox, Caroline S and Matsuda, Koichi and Kamatani, Naoyuki and Wild, Philipp S and Stott, David J and Ford, Ian and Slagboom, P Eline and Yang, Jaden and Chu, Audrey Y and Lambert, Amy J and Uitterlinden, Andr{\'e} G and Franco, Oscar H and Hofer, Edith and Ginsburg, David and Hu, Bella and Keating, Brendan and Schick, Ursula M and Brody, Jennifer A and Li, Jun Z and Chen, Zhao and Zeller, Tanja and Guralnik, Jack M and Chasman, Daniel I and Peters, Luanne L and Kubo, Michiaki and Becker, Diane M and Li, Jin and Eiriksdottir, Gudny and Rotter, Jerome I and Levy, Daniel and Grossmann, Vera and Patel, Kushang V and Chen, Chien-Hsiun and Ridker, Paul M and Tang, Hua and Launer, Lenore J and Rice, Kenneth M and Li-Gao, Ruifang and Ferrucci, Luigi and Evans, Michelle K and Choudhuri, Avik and Trompouki, Eirini and Abraham, Brian J and Yang, Song and Takahashi, Atsushi and Kamatani, Yoichiro and Kooperberg, Charles and Harris, Tamara B and Jee, Sun Ha and Coresh, Josef and Tsai, Fuu-Jen and Longo, Dan L and Chen, Yuan-Tsong and Felix, Janine F and Yang, Qiong and Psaty, Bruce M and Boerwinkle, Eric and Becker, Lewis C and Mook-Kanamori, Dennis O and Wilson, James G and Gudnason, Vilmundur and O{\textquoteright}Donnell, Christopher J and Dehghan, Abbas and Cupples, L Adrienne and Nalls, Michael A and Morris, Andrew P and Okada, Yukinori and Reiner, Alexander P and Zon, Leonard I and Ganesh, Santhi K} } @article {7552, title = {The GH receptor exon 3 deletion is a marker of male-specific exceptional longevity associated with increased GH sensitivity and taller stature.}, journal = {Sci Adv}, volume = {3}, year = {2017}, month = {2017 Jun}, pages = {e1602025}, abstract = {

Although both growth hormone (GH) and insulin-like growth factor 1 (IGF-1) signaling were shown to regulate life span in lower organisms, the role of GH signaling in human longevity remains unclear. Because a GH receptor exon 3 deletion (d3-GHR) appears to modulate GH sensitivity in humans, we hypothesized that this polymorphism could play a role in human longevity. We report a linear increased prevalence of d3-GHR homozygosity with age in four independent cohorts of long-lived individuals: 841 participants [567 of the Longevity Genes Project (LGP) (8\% increase; P = 0.01), 152 of the Old Order Amish (16\% increase; P = 0.02), 61 of the Cardiovascular Health Study (14.2\% increase; P = 0.14), and 61 of the French Long-Lived Study (23.5\% increase; P = 0.02)]. In addition, mega analysis of males in all cohorts resulted in a significant positive trend with age (26\% increase; P = 0.007), suggesting sexual dimorphism for GH action in longevity. Further, on average, LGP d3/d3 homozygotes were 1 inch taller than the wild-type (WT) allele carriers (P = 0.05) and also showed lower serum IGF-1 levels (P = 0.003). Multivariate regression analysis indicated that the presence of d3/d3 genotype adds approximately 10 years to life span. The LGP d3/d3-GHR transformed lymphocytes exhibited superior growth and extracellular signal-regulated kinase activation, to GH treatment relative to WT GHR lymphocytes (P < 0.01), indicating a GH dose response. The d3-GHR variant is a common genetic polymorphism that modulates GH responsiveness throughout the life span and positively affects male longevity.

}, issn = {2375-2548}, doi = {10.1126/sciadv.1602025}, author = {Ben-Avraham, Danny and Govindaraju, Diddahally R and Budagov, Temuri and Fradin, Delphine and Durda, Peter and Liu, Bing and Ott, Sandy and Gutman, Danielle and Sharvit, Lital and Kaplan, Robert and Bougn{\`e}res, Pierre and Reiner, Alex and Shuldiner, Alan R and Cohen, Pinchas and Barzilai, Nir and Atzmon, Gil} } @article {7793, title = {Generalization and fine mapping of red blood cell trait genetic associations to multi-ethnic populations: The PAGE Study.}, journal = {Am J Hematol}, year = {2018}, month = {2018 Jun 15}, abstract = {

Red blood cell (RBC) traits provide insight into a wide range of physiological states and exhibit moderate to high heritability, making them excellent candidates for genetic studies to inform underlying biologic mechanisms. Previous RBC trait genome-wide association studies were performed primarily in European- or Asian-ancestry populations, missing opportunities to inform understanding of RBC genetic architecture in diverse populations and reduce intervals surrounding putative functional SNPs through fine-mapping. Here, we report the first fine-mapping of six correlated (Pearson{\textquoteright}s r range: |0.04 - 0.92|) RBC traits in up to 19,036 African Americans and 19,562 Hispanic/Latinos participants of the Population Architecture using Genomics and Epidemiology (PAGE) consortium. Trans-ethnic meta-analysis of race/ethnic- and study-specific estimates for approximately 11,000 SNPs flanking 13 previously identified association signals as well as 150,000 additional array-wide SNPs was performed using inverse-variance meta-analysis after adjusting for study and clinical covariates. Approximately half of previously reported index SNP-RBC trait associations generalized to the trans-ethnic study population (p<1.7x10 ); previously unreported independent association signals within the ABO region reinforce the potential for multiple functional variants affecting the same locus. Trans-ethnic fine-mapping did not reveal additional signals at the HFE locus independent of the known functional variants. Finally, we identified a potential novel association in the Hispanic/Latino study population at the HECTD4/RPL6 locus for RBC count (p=1.9x10 ). The identification of a previously unknown association, generalization of a large proportion of known association signals, and refinement of known association signals all exemplify the benefits of genetic studies in diverse populations. This article is protected by copyright. All rights reserved.

}, issn = {1096-8652}, doi = {10.1002/ajh.25161}, author = {Jo Hodonsky, Chani and Schurmann, Claudia and Schick, Ursula M and Kocarnik, Jonathan and Tao, Ran and van Rooij, Frank Ja and Wassel, Christina and Buyske, Steve and Fornage, Myriam and Hindorff, Lucia A and Floyd, James S and Ganesh, Santhi K and Lin, Dan-Yu and North, Kari E and Reiner, Alex P and Loos, Ruth Jf and Kooperberg, Charles and Avery, Christy L} } @article {7845, title = {Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits.}, journal = {Nat Genet}, volume = {50}, year = {2018}, month = {2018 Oct}, pages = {1412-1425}, abstract = {

High blood pressure is a highly heritable and modifiable risk factor for cardiovascular disease. We report the largest genetic association study of blood pressure traits (systolic, diastolic and pulse pressure) to date in over 1 million people of European ancestry. We identify 535 novel blood pressure loci that not only offer new biological insights into blood pressure regulation but also highlight shared genetic architecture between blood pressure and lifestyle exposures. Our findings identify new biological pathways for blood pressure regulation with potential for improved cardiovascular disease prevention in the future.

}, issn = {1546-1718}, doi = {10.1038/s41588-018-0205-x}, author = {Evangelou, Evangelos and Warren, Helen R and Mosen-Ansorena, David and Mifsud, Borbala and Pazoki, Raha and Gao, He and Ntritsos, Georgios and Dimou, Niki and Cabrera, Claudia P and Karaman, Ibrahim and Ng, Fu Liang and Evangelou, Marina and Witkowska, Katarzyna and Tzanis, Evan and Hellwege, Jacklyn N and Giri, Ayush and Velez Edwards, Digna R and Sun, Yan V and Cho, Kelly and Gaziano, J Michael and Wilson, Peter W F and Tsao, Philip S and Kovesdy, Csaba P and Esko, T{\~o}nu and M{\"a}gi, Reedik and Milani, Lili and Almgren, Peter and Boutin, Thibaud and Debette, Stephanie and Ding, Jun and Giulianini, Franco and Holliday, Elizabeth G and Jackson, Anne U and Li-Gao, Ruifang and Lin, Wei-Yu and Luan, Jian{\textquoteright}an and Mangino, Massimo and Oldmeadow, Christopher and Prins, Bram Peter and Qian, Yong and Sargurupremraj, Muralidharan and Shah, Nabi and Surendran, Praveen and Th{\'e}riault, S{\'e}bastien and Verweij, Niek and Willems, Sara M and Zhao, Jing-Hua and Amouyel, Philippe and Connell, John and de Mutsert, Ren{\'e}e and Doney, Alex S F and Farrall, Martin and Menni, Cristina and Morris, Andrew D and Noordam, Raymond and Par{\'e}, Guillaume and Poulter, Neil R and Shields, Denis C and Stanton, Alice and Thom, Simon and Abecasis, Goncalo and Amin, Najaf and Arking, Dan E and Ayers, Kristin L and Barbieri, Caterina M and Batini, Chiara and Bis, Joshua C and Blake, Tineka and Bochud, Murielle and Boehnke, Michael and Boerwinkle, Eric and Boomsma, Dorret I and Bottinger, Erwin P and Braund, Peter S and Brumat, Marco and Campbell, Archie and Campbell, Harry and Chakravarti, Aravinda and Chambers, John C and Chauhan, Ganesh and Ciullo, Marina and Cocca, Massimiliano and Collins, Francis and Cordell, Heather J and Davies, Gail and Borst, Martin H de and Geus, Eco J de and Deary, Ian J and Deelen, Joris and del Greco M, Fabiola and Demirkale, Cumhur Yusuf and D{\"o}rr, Marcus and Ehret, Georg B and Elosua, Roberto and Enroth, Stefan and Erzurumluoglu, A Mesut and Ferreira, Teresa and Fr{\r a}nberg, Mattias and Franco, Oscar H and Gandin, Ilaria and Gasparini, Paolo and Giedraitis, Vilmantas and Gieger, Christian and Girotto, Giorgia and Goel, Anuj and Gow, Alan J and Gudnason, Vilmundur and Guo, Xiuqing and Gyllensten, Ulf and Hamsten, Anders and Harris, Tamara B and Harris, Sarah E and Hartman, Catharina A and Havulinna, Aki S and Hicks, Andrew A and Hofer, Edith and Hofman, Albert and Hottenga, Jouke-Jan and Huffman, Jennifer E and Hwang, Shih-Jen and Ingelsson, Erik and James, Alan and Jansen, Rick and Jarvelin, Marjo-Riitta and Joehanes, Roby and Johansson, Asa and Johnson, Andrew D and Joshi, Peter K and Jousilahti, Pekka and Jukema, J Wouter and Jula, Antti and K{\"a}h{\"o}nen, Mika and Kathiresan, Sekar and Keavney, Bernard D and Khaw, Kay-Tee and Knekt, Paul and Knight, Joanne and Kolcic, Ivana and Kooner, Jaspal S and Koskinen, Seppo and Kristiansson, Kati and Kutalik, Zolt{\'a}n and Laan, Maris and Larson, Marty and Launer, Lenore J and Lehne, Benjamin and Lehtim{\"a}ki, Terho and Liewald, David C M and Lin, Li and Lind, Lars and Lindgren, Cecilia M and Liu, Yongmei and Loos, Ruth J F and Lopez, Lorna M and Lu, Yingchang and Lyytik{\"a}inen, Leo-Pekka and Mahajan, Anubha and Mamasoula, Chrysovalanto and Marrugat, Jaume and Marten, Jonathan and Milaneschi, Yuri and Morgan, Anna and Morris, Andrew P and Morrison, Alanna C and Munson, Peter J and Nalls, Mike A and Nandakumar, Priyanka and Nelson, Christopher P and Niiranen, Teemu and Nolte, Ilja M and Nutile, Teresa and Oldehinkel, Albertine J and Oostra, Ben A and O{\textquoteright}Reilly, Paul F and Org, Elin and Padmanabhan, Sandosh and Palmas, Walter and Palotie, Aarno and Pattie, Alison and Penninx, Brenda W J H and Perola, Markus and Peters, Annette and Polasek, Ozren and Pramstaller, Peter P and Nguyen, Quang Tri and Raitakari, Olli T and Ren, Meixia and Rettig, Rainer and Rice, Kenneth and Ridker, Paul M and Ried, Janina S and Riese, Harri{\"e}tte and Ripatti, Samuli and Robino, Antonietta and Rose, Lynda M and Rotter, Jerome I and Rudan, Igor and Ruggiero, Daniela and Saba, Yasaman and Sala, Cinzia F and Salomaa, Veikko and Samani, Nilesh J and Sarin, Antti-Pekka and Schmidt, Reinhold and Schmidt, Helena and Shrine, Nick and Siscovick, David and Smith, Albert V and Snieder, Harold and S{\~o}ber, Siim and Sorice, Rossella and Starr, John M and Stott, David J and Strachan, David P and Strawbridge, Rona J and Sundstr{\"o}m, Johan and Swertz, Morris A and Taylor, Kent D and Teumer, Alexander and Tobin, Martin D and Tomaszewski, Maciej and Toniolo, Daniela and Traglia, Michela and Trompet, Stella and Tuomilehto, Jaakko and Tzourio, Christophe and Uitterlinden, Andr{\'e} G and Vaez, Ahmad and van der Most, Peter J and van Duijn, Cornelia M and Vergnaud, Anne-Claire and Verwoert, Germaine C and Vitart, Veronique and V{\"o}lker, Uwe and Vollenweider, Peter and Vuckovic, Dragana and Watkins, Hugh and Wild, Sarah H and Willemsen, Gonneke and Wilson, James F and Wright, Alan F and Yao, Jie and Zemunik, Tatijana and Zhang, Weihua and Attia, John R and Butterworth, Adam S and Chasman, Daniel I and Conen, David and Cucca, Francesco and Danesh, John and Hayward, Caroline and Howson, Joanna M M and Laakso, Markku and Lakatta, Edward G and Langenberg, Claudia and Melander, Olle and Mook-Kanamori, Dennis O and Palmer, Colin N A and Risch, Lorenz and Scott, Robert A and Scott, Rodney J and Sever, Peter and Spector, Tim D and van der Harst, Pim and Wareham, Nicholas J and Zeggini, Eleftheria and Levy, Daniel and Munroe, Patricia B and Newton-Cheh, Christopher and Brown, Morris J and Metspalu, Andres and Hung, Adriana M and O{\textquoteright}Donnell, Christopher J and Edwards, Todd L and Psaty, Bruce M and Tzoulaki, Ioanna and Barnes, Michael R and Wain, Louise V and Elliott, Paul and Caulfield, Mark J} } @article {7774, title = {Genetic Variants Associated with Circulating Fibroblast Growth Factor 23.}, journal = {J Am Soc Nephrol}, year = {2018}, month = {2018 Sep 14}, abstract = {

BACKGROUND: Fibroblast growth factor 23 (FGF23), a bone-derived hormone that regulates phosphorus and vitamin D metabolism, contributes to the pathogenesis of mineral and bone disorders in CKD and is an emerging cardiovascular risk factor. Central elements of FGF23 regulation remain incompletely understood; genetic variation may help explain interindividual differences.

METHODS: We performed a meta-analysis of genome-wide association studies of circulating FGF23 concentrations among 16,624 participants of European ancestry from seven cohort studies, excluding participants with eGFR<30 ml/min per 1.73 m to focus on FGF23 under normal conditions. We evaluated the association of single-nucleotide polymorphisms (SNPs) with natural log-transformed FGF23 concentration, adjusted for age, sex, study site, and principal components of ancestry. A second model additionally adjusted for BMI and eGFR.

RESULTS: We discovered 154 SNPs from five independent regions associated with FGF23 concentration. The SNP with the strongest association, rs17216707 (=3.0{\texttimes}10), lies upstream of , which encodes the primary catabolic enzyme for 1,25-dihydroxyvitamin D and 25-hydroxyvitamin D. Each additional copy of the T allele at this locus is associated with 5\% higher FGF23 concentration. Another locus strongly associated with variations in FGF23 concentration is rs11741640, within and upstream of (a gene involved in renal phosphate transport). Additional adjustment for BMI and eGFR did not materially alter the magnitude of these associations. Another top locus (within , the ABO blood group transferase gene) was no longer statistically significant at the genome-wide level.

CONCLUSIONS: Common genetic variants located near genes involved in vitamin D metabolism and renal phosphate transport are associated with differences in circulating FGF23 concentrations.

}, issn = {1533-3450}, doi = {10.1681/ASN.2018020192}, author = {Robinson-Cohen, Cassianne and Bartz, Traci M and Lai, Dongbing and Ikizler, T Alp and Peacock, Munro and Imel, Erik A and Michos, Erin D and Foroud, Tatiana M and {\r A}kesson, Kristina and Taylor, Kent D and Malmgren, Linnea and Matsushita, Kunihiro and Nethander, Maria and Eriksson, Joel and Ohlsson, Claes and Mellstr{\"o}m, Daniel and Wolf, Myles and Ljunggren, Osten and McGuigan, Fiona and Rotter, Jerome I and Karlsson, Magnus and Econs, Michael J and Ix, Joachim H and Lutsey, Pamela L and Psaty, Bruce M and de Boer, Ian H and Kestenbaum, Bryan R} } @article {7786, title = {Genetic Variation in Genes Underlying Diverse Dementias May Explain a Small Proportion of Cases in the Alzheimer{\textquoteright}s Disease Sequencing Project.}, journal = {Dement Geriatr Cogn Disord}, volume = {45}, year = {2018}, month = {2018}, pages = {1-17}, abstract = {

BACKGROUND/AIMS: The Alzheimer{\textquoteright}s Disease Sequencing Project (ADSP) aims to identify novel genes influencing Alzheimer{\textquoteright}s disease (AD). Variants within genes known to cause dementias other than AD have previously been associated with AD risk. We describe evidence of co-segregation and associations between variants in dementia genes and clinically diagnosed AD within the ADSP.

METHODS: We summarize the properties of known pathogenic variants within dementia genes, describe the co-segregation of variants annotated as "pathogenic" in ClinVar and new candidates observed in ADSP families, and test for associations between rare variants in dementia genes in the ADSP case-control study. The participants were clinically evaluated for AD, and they represent European, Caribbean Hispanic, and isolate Dutch populations.

RESULTS/CONCLUSIONS: Pathogenic variants in dementia genes were predominantly rare and conserved coding changes. Pathogenic variants within ARSA, CSF1R, and GRN were observed, and candidate variants in GRN and CHMP2B were nominated in ADSP families. An independent case-control study provided evidence of an association between variants in TREM2, APOE, ARSA, CSF1R, PSEN1, and MAPT and risk of AD. Variants in genes which cause dementing disorders may influence the clinical diagnosis of AD in a small proportion of cases within the ADSP.

}, issn = {1421-9824}, doi = {10.1159/000485503}, author = {Blue, Elizabeth E and Bis, Joshua C and Dorschner, Michael O and Tsuang, Debby W and Barral, Sandra M and Beecham, Gary and Below, Jennifer E and Bush, William S and Butkiewicz, Mariusz and Cruchaga, Carlos and DeStefano, Anita and Farrer, Lindsay A and Goate, Alison and Haines, Jonathan and Jaworski, Jim and Jun, Gyungah and Kunkle, Brian and Kuzma, Amanda and Lee, Jenny J and Lunetta, Kathryn L and Ma, Yiyi and Martin, Eden and Naj, Adam and Nato, Alejandro Q and Navas, Patrick and Nguyen, Hiep and Reitz, Christiane and Reyes, Dolly and Salerno, William and Schellenberg, Gerard D and Seshadri, Sudha and Sohi, Harkirat and Thornton, Timothy A and Valadares, Otto and van Duijn, Cornelia and Vardarajan, Badri N and Wang, Li-San and Boerwinkle, Eric and Dupuis, Jos{\'e}e and Pericak-Vance, Margaret A and Mayeux, Richard and Wijsman, Ellen M} } @article {7987, title = {Genetically elevated high-density lipoprotein cholesterol through the cholesteryl ester transfer protein gene does not associate with risk of Alzheimer{\textquoteright}s disease.}, journal = {Alzheimers Dement (Amst)}, volume = {10}, year = {2018}, month = {2018}, pages = {595-598}, abstract = {

Introduction: There is conflicting evidence whether high-density lipoprotein cholesterol (HDL-C) is a risk factor for Alzheimer{\textquoteright}s disease (AD) and dementia. Genetic variation in the cholesteryl ester transfer protein () locus is associated with altered HDL-C. We aimed to assess AD risk by genetically predicted HDL-C.

Methods: Ten single nucleotide polymorphisms within the locus predicting HDL-C were applied to the International Genomics of Alzheimer{\textquoteright}s Project (IGAP) exome chip stage 1 results in up 16,097 late onset AD cases and 18,077 cognitively normal elderly controls. We performed instrumental variables analysis using inverse variance weighting, weighted median, and MR-Egger.

Results: Based on 10 single nucleotide polymorphisms distinctly predicting HDL-C in the locus, we found that HDL-C was not associated with risk of AD (~>~.7).

Discussion: Our study does not support the role of HDL-C on risk of AD through HDL-C altered by . This study does not rule out other mechanisms by which HDL-C affects risk of AD.

}, issn = {2352-8729}, doi = {10.1016/j.dadm.2018.08.008}, author = {Peloso, Gina M and van der Lee, Sven J and DeStefano, Anita L and Seshardi, Sudha} } @article {7920, title = {Genome Analyses of >200,000 Individuals Identify 58 Loci for Chronic Inflammation and Highlight Pathways that Link Inflammation and Complex Disorders.}, journal = {Am J Hum Genet}, volume = {103}, year = {2018}, month = {2018 Nov 01}, pages = {691-706}, abstract = {

C-reactive protein (CRP) is a sensitive biomarker of chronic low-grade inflammation and is associated with multiple complex diseases. The genetic determinants of chronic inflammation remain largely unknown, and the causal role of CRP in several clinical outcomes is debated. We performed two genome-wide association studies (GWASs), on HapMap and 1000 Genomes imputed data, of circulating amounts of CRP by using data from 88 studies comprising 204,402 European individuals. Additionally, we performed in silico functional analyses and Mendelian randomization analyses with several clinical outcomes. The GWAS meta-analyses of CRP revealed 58 distinct genetic loci (p < 5~{\texttimes} 10). After adjustment for body mass index in the regression analysis, the associations at all except three loci remained. The lead variants at the distinct loci explained up to 7.0\% of the variance in circulating amounts of CRP. We identified 66 gene sets that were organized in two substantially correlated clusters, one mainly composed of immune pathways and the other characterized by metabolic pathways in the liver. Mendelian randomization analyses revealed a causal protective effect of CRP on schizophrenia and a risk-increasing effect on bipolar disorder. Our findings provide further insights into the biology of inflammation and could lead to interventions for treating inflammation and its clinical consequences.

}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2018.09.009}, author = {Ligthart, Symen and Vaez, Ahmad and V{\~o}sa, Urmo and Stathopoulou, Maria G and de Vries, Paul S and Prins, Bram P and van der Most, Peter J and Tanaka, Toshiko and Naderi, Elnaz and Rose, Lynda M and Wu, Ying and Karlsson, Robert and Barbalic, Maja and Lin, Honghuang and Pool, Rene and Zhu, Gu and Mace, Aurelien and Sidore, Carlo and Trompet, Stella and Mangino, Massimo and Sabater-Lleal, Maria and Kemp, John P and Abbasi, Ali and Kacprowski, Tim and Verweij, Niek and Smith, Albert V and Huang, Tao and Marzi, Carola and Feitosa, Mary F and Lohman, Kurt K and Kleber, Marcus E and Milaneschi, Yuri and Mueller, Christian and Huq, Mahmudul and Vlachopoulou, Efthymia and Lyytik{\"a}inen, Leo-Pekka and Oldmeadow, Christopher and Deelen, Joris and Perola, Markus and Zhao, Jing Hua and Feenstra, Bjarke and Amini, Marzyeh and Lahti, Jari and Schraut, Katharina E and Fornage, Myriam and Suktitipat, Bhoom and Chen, Wei-Min and Li, Xiaohui and Nutile, Teresa and Malerba, Giovanni and Luan, Jian{\textquoteright}an and Bak, Tom and Schork, Nicholas and del Greco M, Fabiola and Thiering, Elisabeth and Mahajan, Anubha and Marioni, Riccardo E and Mihailov, Evelin and Eriksson, Joel and Ozel, Ayse Bilge and Zhang, Weihua and Nethander, Maria and Cheng, Yu-Ching and Aslibekyan, Stella and Ang, Wei and Gandin, Ilaria and Yengo, Loic and Portas, Laura and Kooperberg, Charles and Hofer, Edith and Rajan, Kumar B and Schurmann, Claudia and den Hollander, Wouter and Ahluwalia, Tarunveer S and Zhao, Jing and Draisma, Harmen H M and Ford, Ian and Timpson, Nicholas and Teumer, Alexander and Huang, Hongyan and Wahl, Simone and Liu, Yongmei and Huang, Jie and Uh, Hae-Won and Geller, Frank and Joshi, Peter K and Yanek, Lisa R and Trabetti, Elisabetta and Lehne, Benjamin and Vozzi, Diego and Verbanck, Marie and Biino, Ginevra and Saba, Yasaman and Meulenbelt, Ingrid and O{\textquoteright}Connell, Jeff R and Laakso, Markku and Giulianini, Franco and Magnusson, Patrik K E and Ballantyne, Christie M and Hottenga, Jouke Jan and Montgomery, Grant W and Rivadineira, Fernando and Rueedi, Rico and Steri, Maristella and Herzig, Karl-Heinz and Stott, David J and Menni, Cristina and Fr{\r a}nberg, Mattias and St Pourcain, Beate and Felix, Stephan B and Pers, Tune H and Bakker, Stephan J L and Kraft, Peter and Peters, Annette and Vaidya, Dhananjay and Delgado, Graciela and Smit, Johannes H and Gro{\ss}mann, Vera and Sinisalo, Juha and Sepp{\"a}l{\"a}, Ilkka and Williams, Stephen R and Holliday, Elizabeth G and Moed, Matthijs and Langenberg, Claudia and R{\"a}ikk{\"o}nen, Katri and Ding, Jingzhong and Campbell, Harry and Sale, Mich{\`e}le M and Chen, Yii-der I and James, Alan L and Ruggiero, Daniela and Soranzo, Nicole and Hartman, Catharina A and Smith, Erin N and Berenson, Gerald S and Fuchsberger, Christian and Hernandez, Dena and Tiesler, Carla M T and Giedraitis, Vilmantas and Liewald, David and Fischer, Krista and Mellstr{\"o}m, Dan and Larsson, Anders and Wang, Yunmei and Scott, William R and Lorentzon, Matthias and Beilby, John and Ryan, Kathleen A and Pennell, Craig E and Vuckovic, Dragana and Balkau, Beverly and Concas, Maria Pina and Schmidt, Reinhold and Mendes de Leon, Carlos F and Bottinger, Erwin P and Kloppenburg, Margreet and Paternoster, Lavinia and Boehnke, Michael and Musk, A W and Willemsen, Gonneke and Evans, David M and Madden, Pamela A F and K{\"a}h{\"o}nen, Mika and Kutalik, Zolt{\'a}n and Zoledziewska, Magdalena and Karhunen, Ville and Kritchevsky, Stephen B and Sattar, Naveed and Lachance, Genevieve and Clarke, Robert and Harris, Tamara B and Raitakari, Olli T and Attia, John R and van Heemst, Diana and Kajantie, Eero and Sorice, Rossella and Gambaro, Giovanni and Scott, Robert A and Hicks, Andrew A and Ferrucci, Luigi and Standl, Marie and Lindgren, Cecilia M and Starr, John M and Karlsson, Magnus and Lind, Lars and Li, Jun Z and Chambers, John C and Mori, Trevor A and de Geus, Eco J C N and Heath, Andrew C and Martin, Nicholas G and Auvinen, Juha and Buckley, Brendan M and de Craen, Anton J M and Waldenberger, Melanie and Strauch, Konstantin and Meitinger, Thomas and Scott, Rodney J and McEvoy, Mark and Beekman, Marian and Bombieri, Cristina and Ridker, Paul M and Mohlke, Karen L and Pedersen, Nancy L and Morrison, Alanna C and Boomsma, Dorret I and Whitfield, John B and Strachan, David P and Hofman, Albert and Vollenweider, Peter and Cucca, Francesco and Jarvelin, Marjo-Riitta and Jukema, J Wouter and Spector, Tim D and Hamsten, Anders and Zeller, Tanja and Uitterlinden, Andr{\'e} G and Nauck, Matthias and Gudnason, Vilmundur and Qi, Lu and Grallert, Harald and Borecki, Ingrid B and Rotter, Jerome I and M{\"a}rz, Winfried and Wild, Philipp S and Lokki, Marja-Liisa and Boyle, Michael and Salomaa, Veikko and Melbye, Mads and Eriksson, Johan G and Wilson, James F and Penninx, Brenda W J H and Becker, Diane M and Worrall, Bradford B and Gibson, Greg and Krauss, Ronald M and Ciullo, Marina and Zaza, Gianluigi and Wareham, Nicholas J and Oldehinkel, Albertine J and Palmer, Lyle J and Murray, Sarah S and Pramstaller, Peter P and Bandinelli, Stefania and Heinrich, Joachim and Ingelsson, Erik and Deary, Ian J and M{\"a}gi, Reedik and Vandenput, Liesbeth and van der Harst, Pim and Desch, Karl C and Kooner, Jaspal S and Ohlsson, Claes and Hayward, Caroline and Lehtim{\"a}ki, Terho and Shuldiner, Alan R and Arnett, Donna K and Beilin, Lawrence J and Robino, Antonietta and Froguel, Philippe and Pirastu, Mario and Jess, Tine and Koenig, Wolfgang and Loos, Ruth J F and Evans, Denis A and Schmidt, Helena and Smith, George Davey and Slagboom, P Eline and Eiriksdottir, Gudny and Morris, Andrew P and Psaty, Bruce M and Tracy, Russell P and Nolte, Ilja M and Boerwinkle, Eric and Visvikis-Siest, Sophie and Reiner, Alex P and Gross, Myron and Bis, Joshua C and Franke, Lude and Franco, Oscar H and Benjamin, Emelia J and Chasman, Daniel I and Dupuis, Jos{\'e}e and Snieder, Harold and Dehghan, Abbas and Alizadeh, Behrooz Z} } @article {7927, title = {Genome-wide analyses identify a role for SLC17A4 and AADAT in thyroid hormone regulation.}, journal = {Nat Commun}, volume = {9}, year = {2018}, month = {2018 10 26}, pages = {4455}, abstract = {

Thyroid dysfunction is an important public health problem, which affects 10\% of the general population and increases the risk of cardiovascular morbidity and mortality. Many aspects of thyroid hormone regulation have only partly been elucidated, including its transport, metabolism, and genetic determinants. Here we report a large meta-analysis of genome-wide association studies for thyroid function and dysfunction, testing 8 million genetic variants in up to 72,167 individuals. One-hundred-and-nine independent genetic variants are associated with these traits. A genetic risk score, calculated to assess their combined effects on clinical end points, shows significant associations with increased risk of both overt (Graves{\textquoteright} disease) and subclinical thyroid disease, as well as clinical complications. By functional follow-up on selected signals, we identify a novel thyroid hormone transporter (SLC17A4) and a metabolizing enzyme (AADAT). Together, these results provide new knowledge about thyroid hormone physiology and disease, opening new possibilities for therapeutic targets.

}, issn = {2041-1723}, doi = {10.1038/s41467-018-06356-1}, author = {Teumer, Alexander and Chaker, Layal and Groeneweg, Stefan and Li, Yong and Di Munno, Celia and Barbieri, Caterina and Schultheiss, Ulla T and Traglia, Michela and Ahluwalia, Tarunveer S and Akiyama, Masato and Appel, Emil Vincent R and Arking, Dan E and Arnold, Alice and Astrup, Arne and Beekman, Marian and Beilby, John P and Bekaert, Sofie and Boerwinkle, Eric and Brown, Suzanne J and De Buyzere, Marc and Campbell, Purdey J and Ceresini, Graziano and Cerqueira, Charlotte and Cucca, Francesco and Deary, Ian J and Deelen, Joris and Eckardt, Kai-Uwe and Ekici, Arif B and Eriksson, Johan G and Ferrrucci, Luigi and Fiers, Tom and Fiorillo, Edoardo and Ford, Ian and Fox, Caroline S and Fuchsberger, Christian and Galesloot, Tessel E and Gieger, Christian and G{\"o}gele, Martin and De Grandi, Alessandro and Grarup, Niels and Greiser, Karin Halina and Haljas, Kadri and Hansen, Torben and Harris, Sarah E and van Heemst, Diana and den Heijer, Martin and Hicks, Andrew A and den Hollander, Wouter and Homuth, Georg and Hui, Jennie and Ikram, M Arfan and Ittermann, Till and Jensen, Richard A and Jing, Jiaojiao and Jukema, J Wouter and Kajantie, Eero and Kamatani, Yoichiro and Kasbohm, Elisa and Kaufman, Jean-Marc and Kiemeney, Lambertus A and Kloppenburg, Margreet and Kronenberg, Florian and Kubo, Michiaki and Lahti, Jari and Lapauw, Bruno and Li, Shuo and Liewald, David C M and Lim, Ee Mun and Linneberg, Allan and Marina, Michela and Mascalzoni, Deborah and Matsuda, Koichi and Medenwald, Daniel and Meisinger, Christa and Meulenbelt, Ingrid and De Meyer, Tim and Meyer zu Schwabedissen, Henriette E and Mikolajczyk, Rafael and Moed, Matthijs and Netea-Maier, Romana T and Nolte, Ilja M and Okada, Yukinori and Pala, Mauro and Pattaro, Cristian and Pedersen, Oluf and Petersmann, Astrid and Porcu, Eleonora and Postmus, Iris and Pramstaller, Peter P and Psaty, Bruce M and Ramos, Yolande F M and Rawal, Rajesh and Redmond, Paul and Richards, J Brent and Rietzschel, Ernst R and Rivadeneira, Fernando and Roef, Greet and Rotter, Jerome I and Sala, Cinzia F and Schlessinger, David and Selvin, Elizabeth and Slagboom, P Eline and Soranzo, Nicole and S{\o}rensen, Thorkild I A and Spector, Timothy D and Starr, John M and Stott, David J and Taes, Youri and Taliun, Daniel and Tanaka, Toshiko and Thuesen, Betina and Tiller, Daniel and Toniolo, Daniela and Uitterlinden, Andr{\'e} G and Visser, W Edward and Walsh, John P and Wilson, Scott G and Wolffenbuttel, Bruce H R and Yang, Qiong and Zheng, Hou-Feng and Cappola, Anne and Peeters, Robin P and Naitza, Silvia and V{\"o}lzke, Henry and Sanna, Serena and K{\"o}ttgen, Anna and Visser, Theo J and Medici, Marco} } @article {7791, title = {Genome-wide association meta-analysis of circulating odd-numbered chain saturated fatty acids: Results from the CHARGE Consortium.}, journal = {PLoS One}, volume = {13}, year = {2018}, month = {2018}, pages = {e0196951}, abstract = {

BACKGROUND: Odd-numbered chain saturated fatty acids (OCSFA) have been associated with potential health benefits. Although some OCSFA (e.g., C15:0 and C17:0) are found in meats and dairy products, sources and metabolism of C19:0 and C23:0 are relatively unknown, and the influence of non-dietary determinants, including genetic factors, on circulating levels of OCSFA is not established.

OBJECTIVE: To elucidate the biological processes that influence circulating levels of OCSFA by investigating associations between genetic variation and OCSFA.

DESIGN: We performed a meta-analysis of genome-wide association studies (GWAS) of plasma phospholipid/erythrocyte levels of C15:0, C17:0, C19:0, and C23:0 among 11,494 individuals of European descent. We also investigated relationships between specific single nucleotide polymorphisms (SNPs) in the lactase (LCT) gene, associated with adult-onset lactase intolerance, with circulating levels of dairy-derived OCSFA, and evaluated associations of candidate sphingolipid genes with C23:0 levels.

RESULTS: We found no genome-wide significant evidence that common genetic variation is associated with circulating levels of C15:0 or C23:0. In two cohorts with available data, we identified one intronic SNP (rs13361131) in myosin X gene (MYO10) associated with C17:0 level (P = 1.37{\texttimes}10-8), and two intronic SNP (rs12874278 and rs17363566) in deleted in lymphocytic leukemia 1 (DLEU1) region associated with C19:0 level (P = 7.07{\texttimes}10-9). In contrast, when using a candidate-gene approach, we found evidence that three SNPs in LCT (rs11884924, rs16832067, and rs3816088) are associated with circulating C17:0 level (adjusted P = 4{\texttimes}10-2). In addition, nine SNPs in the ceramide synthase 4 (CERS4) region were associated with circulating C23:0 levels (adjusted P<5{\texttimes}10-2).

CONCLUSIONS: Our findings suggest that circulating levels of OCSFA may be predominantly influenced by non-genetic factors. SNPs associated with C17:0 level in the LCT gene may reflect genetic influence in dairy consumption or in metabolism of dairy foods. SNPs associated with C23:0 may reflect a role of genetic factors in the synthesis of sphingomyelin.

}, keywords = {Fatty Acids, Genome-Wide Association Study, Humans, Introns, Lactase, Myosins, Polymorphism, Single Nucleotide, Sphingomyelins, Sphingosine N-Acyltransferase, Tumor Suppressor Proteins}, issn = {1932-6203}, doi = {10.1371/journal.pone.0196951}, author = {de Oliveira Otto, Marcia C and Lemaitre, Rozenn N and Sun, Qi and King, Irena B and Wu, Jason H Y and Manichaikul, Ani and Rich, Stephen S and Tsai, Michael Y and Chen, Y D and Fornage, Myriam and Weihua, Guan and Aslibekyan, Stella and Irvin, Marguerite R and Kabagambe, Edmond K and Arnett, Donna K and Jensen, Majken K and McKnight, Barbara and Psaty, Bruce M and Steffen, Lyn M and Smith, Caren E and Riserus, Ulf and Lind, Lars and Hu, Frank B and Rimm, Eric B and Siscovick, David S and Mozaffarian, Dariush} } @article {7669, title = {Genome-wide association study and meta-analysis identify loci associated with ventricular and supraventricular ectopy.}, journal = {Sci Rep}, volume = {8}, year = {2018}, month = {2018 Apr 04}, pages = {5675}, abstract = {

The genetic basis of supraventricular and ventricular ectopy (SVE, VE) remains largely uncharacterized, despite established genetic mechanisms of arrhythmogenesis. To identify novel genetic variants associated with SVE/VE in ancestrally diverse human populations, we conducted a genome-wide association study of electrocardiographically~identified SVE and VE in five cohorts including approximately 43,000 participants of African, European and Hispanic/Latino ancestry. In thirteen ancestry-stratified subgroups, we tested multivariable-adjusted associations of SVE and VE with single nucleotide polymorphism (SNP) dosage. We combined subgroup-specific association estimates in inverse variance-weighted, fixed-effects and Bayesian meta-analyses. We also combined fixed-effects meta-analytic t-test statistics for SVE and VE in multi-trait SNP association analyses. No loci reached genome-wide significance in trans-ethnic meta-analyses. However, we found genome-wide significant SNPs intronic to an apoptosis-enhancing gene previously associated with QRS interval duration (FAF1; lead SNP rs7545860; effect allele frequency = 0.02; P = 2.0 {\texttimes} 10) in multi-trait analysis among European ancestry participants and near a locus encoding calcium-dependent glycoproteins (DSC3; lead SNP rs8086068; effect allele frequency = 0.17) in meta-analysis of SVE (P = 4.0 {\texttimes} 10) and multi-trait analysis (P = 2.9 {\texttimes} 10) among African ancestry participants. The novel findings suggest several mechanisms by which genetic variation may predispose to ectopy in humans and highlight the potential value of leveraging pleiotropy in future studies of ectopy-related phenotypes.

}, issn = {2045-2322}, doi = {10.1038/s41598-018-23843-z}, author = {Napier, Melanie D and Franceschini, Nora and Gondalia, Rahul and Stewart, James D and M{\'e}ndez-Gir{\'a}ldez, R{\'a}ul and Sitlani, Colleen M and Seyerle, Amanda A and Highland, Heather M and Li, Yun and Wilhelmsen, Kirk C and Yan, Song and Duan, Qing and Roach, Jeffrey and Yao, Jie and Guo, Xiuqing and Taylor, Kent D and Heckbert, Susan R and Rotter, Jerome I and North, Kari E and Reiner, Alexander P and Zhang, Zhu-Ming and Tinker, Lesley F and Liao, Duanping and Laurie, Cathy C and Gogarten, Stephanie M and Lin, Henry J and Brody, Jennifer A and Bartz, Traci M and Psaty, Bruce M and Sotoodehnia, Nona and Soliman, Elsayed Z and Avery, Christy L and Whitsel, Eric A} } @article {7667, title = {Genome-wide association study in 79,366 European-ancestry individuals informs the genetic architecture of 25-hydroxyvitamin D levels.}, journal = {Nat Commun}, volume = {9}, year = {2018}, month = {2018 Jan 17}, pages = {260}, abstract = {

Vitamin D is a steroid hormone precursor that is associated with a range of human traits and diseases. Previous GWAS of serum 25-hydroxyvitamin D concentrations have identified four genome-wide significant loci (GC, NADSYN1/DHCR7, CYP2R1, CYP24A1). In this study, we expand the previous SUNLIGHT Consortium GWAS discovery sample size from 16,125 to 79,366 (all European descent). This larger GWAS yields two additional loci harboring genome-wide significant variants (P = 4.7{\texttimes}10 at rs8018720 in SEC23A, and P = 1.9{\texttimes}10 at rs10745742 in AMDHD1). The overall estimate of heritability of 25-hydroxyvitamin D serum concentrations attributable to GWAS common SNPs is 7.5\%, with statistically significant loci explaining 38\% of this total. Further investigation identifies signal enrichment in immune and hematopoietic tissues, and clustering with autoimmune diseases in cell-type-specific analysis. Larger studies are required to identify additional common SNPs, and to explore the role of rare or structural variants and gene-gene interactions in the heritability of circulating 25-hydroxyvitamin D levels.

}, issn = {2041-1723}, doi = {10.1038/s41467-017-02662-2}, author = {Jiang, Xia and O{\textquoteright}Reilly, Paul F and Aschard, Hugues and Hsu, Yi-Hsiang and Richards, J Brent and Dupuis, Jos{\'e}e and Ingelsson, Erik and Karasik, David and Pilz, Stefan and Berry, Diane and Kestenbaum, Bryan and Zheng, Jusheng and Luan, Jianan and Sofianopoulou, Eleni and Streeten, Elizabeth A and Albanes, Demetrius and Lutsey, Pamela L and Yao, Lu and Tang, Weihong and Econs, Michael J and Wallaschofski, Henri and V{\"o}lzke, Henry and Zhou, Ang and Power, Chris and McCarthy, Mark I and Michos, Erin D and Boerwinkle, Eric and Weinstein, Stephanie J and Freedman, Neal D and Huang, Wen-Yi and van Schoor, Natasja M and van der Velde, Nathalie and Groot, Lisette C P G M de and Enneman, Anke and Cupples, L Adrienne and Booth, Sarah L and Vasan, Ramachandran S and Liu, Ching-Ti and Zhou, Yanhua and Ripatti, Samuli and Ohlsson, Claes and Vandenput, Liesbeth and Lorentzon, Mattias and Eriksson, Johan G and Shea, M Kyla and Houston, Denise K and Kritchevsky, Stephen B and Liu, Yongmei and Lohman, Kurt K and Ferrucci, Luigi and Peacock, Munro and Gieger, Christian and Beekman, Marian and Slagboom, Eline and Deelen, Joris and Heemst, Diana van and Kleber, Marcus E and M{\"a}rz, Winfried and de Boer, Ian H and Wood, Alexis C and Rotter, Jerome I and Rich, Stephen S and Robinson-Cohen, Cassianne and den Heijer, Martin and Jarvelin, Marjo-Riitta and Cavadino, Alana and Joshi, Peter K and Wilson, James F and Hayward, Caroline and Lind, Lars and Micha{\"e}lsson, Karl and Trompet, Stella and Zillikens, M Carola and Uitterlinden, Andr{\'e} G and Rivadeneira, Fernando and Broer, Linda and Zgaga, Lina and Campbell, Harry and Theodoratou, Evropi and Farrington, Susan M and Timofeeva, Maria and Dunlop, Malcolm G and Valdes, Ana M and Tikkanen, Emmi and Lehtim{\"a}ki, Terho and Lyytik{\"a}inen, Leo-Pekka and K{\"a}h{\"o}nen, Mika and Raitakari, Olli T and Mikkil{\"a}, Vera and Ikram, M Arfan and Sattar, Naveed and Jukema, J Wouter and Wareham, Nicholas J and Langenberg, Claudia and Forouhi, Nita G and Gundersen, Thomas E and Khaw, Kay-Tee and Butterworth, Adam S and Danesh, John and Spector, Timothy and Wang, Thomas J and Hypp{\"o}nen, Elina and Kraft, Peter and Kiel, Douglas P} } @article {7849, title = {Genome-wide association study of 23,500 individuals identifies 7 loci associated with brain ventricular volume.}, journal = {Nat Commun}, volume = {9}, year = {2018}, month = {2018 Sep 26}, pages = {3945}, abstract = {

The volume of the lateral ventricles (LV) increases with age and their abnormal enlargement is a key feature of several neurological and psychiatric diseases. Although lateral ventricular volume is heritable, a comprehensive investigation of its genetic determinants is lacking. In this meta-analysis of genome-wide association studies of 23,533 healthy middle-aged to elderly individuals from 26 population-based cohorts, we identify 7 genetic loci associated with LV volume. These loci map to chromosomes 3q28, 7p22.3, 10p12.31, 11q23.1, 12q23.3, 16q24.2, and 22q13.1 and implicate pathways related to tau pathology, S1P signaling, and cytoskeleton organization. We also report a significant genetic overlap between the thalamus and LV volumes (ρ = -0.59, p-value = 3.14 {\texttimes} 10), suggesting that these brain structures may share a common biology. These genetic associations of LV volume provide insights into brain morphology.

}, issn = {2041-1723}, doi = {10.1038/s41467-018-06234-w}, author = {Vojinovic, Dina and Adams, Hieab H and Jian, Xueqiu and Yang, Qiong and Smith, Albert Vernon and Bis, Joshua C and Teumer, Alexander and Scholz, Markus and Armstrong, Nicola J and Hofer, Edith and Saba, Yasaman and Luciano, Michelle and Bernard, Manon and Trompet, Stella and Yang, Jingyun and Gillespie, Nathan A and van der Lee, Sven J and Neumann, Alexander and Ahmad, Shahzad and Andreassen, Ole A and Ames, David and Amin, Najaf and Arfanakis, Konstantinos and Bastin, Mark E and Becker, Diane M and Beiser, Alexa S and Beyer, Frauke and Brodaty, Henry and Bryan, R Nick and B{\"u}low, Robin and Dale, Anders M and De Jager, Philip L and Deary, Ian J and DeCarli, Charles and Fleischman, Debra A and Gottesman, Rebecca F and van der Grond, Jeroen and Gudnason, Vilmundur and Harris, Tamara B and Homuth, Georg and Knopman, David S and Kwok, John B and Lewis, Cora E and Li, Shuo and Loeffler, Markus and Lopez, Oscar L and Maillard, Pauline and El Marroun, Hanan and Mather, Karen A and Mosley, Thomas H and Muetzel, Ryan L and Nauck, Matthias and Nyquist, Paul A and Panizzon, Matthew S and Pausova, Zdenka and Psaty, Bruce M and Rice, Ken and Rotter, Jerome I and Royle, Natalie and Satizabal, Claudia L and Schmidt, Reinhold and Schofield, Peter R and Schreiner, Pamela J and Sidney, Stephen and Stott, David J and Thalamuthu, Anbupalam and Uitterlinden, Andr{\'e} G and Vald{\'e}s Hern{\'a}ndez, Maria C and Vernooij, Meike W and Wen, Wei and White, Tonya and Witte, A Veronica and Wittfeld, Katharina and Wright, Margaret J and Yanek, Lisa R and Tiemeier, Henning and Kremen, William S and Bennett, David A and Jukema, J Wouter and Paus, Tom{\'a}{\v s} and Wardlaw, Joanna M and Schmidt, Helena and Sachdev, Perminder S and Villringer, Arno and Grabe, Hans J{\"o}rgen and Longstreth, W T and van Duijn, Cornelia M and Launer, Lenore J and Seshadri, Sudha and Ikram, M Arfan and Fornage, Myriam} } @article {7924, title = {Genome-Wide Association Trans-Ethnic Meta-Analyses Identifies Novel Associations Regulating Coagulation Factor VIII and von Willebrand Factor Plasma Levels.}, journal = {Circulation}, year = {2018}, month = {2018 Nov 20}, abstract = {

BACKGROUND: Factor VIII (FVIII) and its carrier protein von Willebrand factor (VWF) are associated with risk of arterial and venous thrombosis and with hemorrhagic disorders. We aimed to identify and functionally test novel genetic associations regulating plasma FVIII and VWF.

METHODS: We meta-analyzed genome-wide association results from 46,354 individuals of European, African, East Asian, and Hispanic ancestry. All studies performed linear regression analysis using an additive genetic model and associated approximately 35 million imputed variants with natural-log transformed phenotype levels. In vitro gene silencing in cultured endothelial cells was performed for candidate genes to provide additional evidence on association and function. Two-sample Mendelian randomization (MR) analyses were applied to test the causal role of FVIII and VWF plasma levels on the risk of arterial and venous thrombotic events.

RESULTS: We identified 13 novel genome-wide significant (p<=2.5x10) associations; 7 with FVIII levels ( FCHO2/TMEM171/TNPO1, HLA, SOX17/RP1, LINC00583/NFIB, RAB5C-KAT2A, RPL3/TAB1/SYNGR1, and ARSA) and 11 with VWF levels ( PDHB/PXK/KCTD6, SLC39A8, FCHO2/TMEM171/TNPO1, HLA, GIMAP7/GIMAP4, OR13C5/NIPSNAP, DAB2IP, C2CD4B, RAB5C-KAT2A, TAB1/SYNGR1, and ARSA), beyond 10 previously reported associations with these phenotypes. Functional validation provided further evidence of association for all loci on VWF except ARSA and DAB2IP. MR suggested causal effects of plasma FVIII activity levels on venous thrombosis and coronary artery disease risk and plasma VWF levels on ischemic stroke risk.

CONCLUSIONS: The meta-analysis identified 13 novel genetic loci regulating FVIII and VWF plasma levels, 10 of which we validated functionally. We provide some evidence for a causal role of these proteins in thrombotic events.

}, issn = {1524-4539}, doi = {10.1161/CIRCULATIONAHA.118.034532}, author = {Sabater-Lleal, Maria and Huffman, Jennifer E and de Vries, Paul S and Marten, Jonathan and Mastrangelo, Michael A and Song, Ci and Pankratz, Nathan and Ward-Caviness, Cavin K and Yanek, Lisa R and Trompet, Stella and Delgado, Graciela E and Guo, Xiuqing and Bartz, Traci M and Martinez-Perez, Angel and Germain, Marine and de Haan, Hugoline G and Ozel, Ayse B and Polasek, Ozren and Smith, Albert V and Eicher, John D and Reiner, Alex P and Tang, Weihong and Davies, Neil M and Stott, David J and Rotter, Jerome I and Tofler, Geoffrey H and Boerwinkle, Eric and de Maat, Moniek P M and Kleber, Marcus E and Welsh, Paul and Brody, Jennifer A and Chen, Ming-Huei and Vaidya, Dhananjay and Soria, Jos{\'e} Manuel and Suchon, Pierre and van Hylckama Vlieg, Astrid and Desch, Karl C and Kolcic, Ivana and Joshi, Peter K and Launer, Lenore J and Harris, Tamara B and Campbell, Harry and Rudan, Igor and Becker, Diane M and Li, Jun Z and Rivadeneira, Fernando and Uitterlinden, Andr{\'e} G and Hofman, Albert and Franco, Oscar H and Cushman, Mary and Psaty, Bruce M and Morange, Pierre-Emmanuel and McKnight, Barbara and Chong, Michael R and Fernandez-Cadenas, Israel and Rosand, Jonathan and Lindgren, Arne and Gudnason, Vilmundur and Wilson, James F and Hayward, Caroline and Ginsburg, David and Fornage, Myriam and Rosendaal, Frits R and Souto, Juan Carlos and Becker, Lewis C and Jenny, Nancy S and M{\"a}rz, Winfried and Jukema, J Wouter and Dehghan, Abbas and Tr{\'e}gou{\"e}t, David-Alexandre and Morrison, Alanna C and Johnson, Andrew D and O{\textquoteright}Donnell, Christopher J and Strachan, David P and Lowenstein, Charles J and Smith, Nicholas L} } @article {7672, title = {Genome-Wide Associations of Global Electrical Heterogeneity ECG Phenotype: The ARIC (Atherosclerosis Risk in Communities) Study and CHS (Cardiovascular Health Study).}, journal = {J Am Heart Assoc}, volume = {7}, year = {2018}, month = {2018 Apr 05}, abstract = {

BACKGROUND: ECG global electrical heterogeneity (GEH) is associated with sudden cardiac death. We hypothesized that a genome-wide association study would identify genetic loci related to GEH.

METHODS AND RESULTS: We tested genotyped and imputed variants in black (N=3057) and white (N=10~769) participants in the ARIC (Atherosclerosis Risk in Communities) study and CHS (Cardiovascular Health Study). GEH (QRS-T angle, sum absolute QRST integral, spatial ventricular gradient magnitude, elevation, azimuth) was measured on 12-lead ECGs. Linear regression models were constructed with each GEH variable as an outcome, adjusted for age, sex, height, body mass index, study site, and principal components to account for ancestry. GWAS identified 10 loci that showed genome-wide significant association with GEH in whites or joint ancestry. The strongest signal (rs7301677, near ) was associated with QRS-T angle (white standardized β+0.16 [95\% CI 0.13-0.19]; =1.5{\texttimes}10), spatial ventricular gradient elevation (+0.11 [0.08-0.14]; =2.1{\texttimes}10), and spatial ventricular gradient magnitude (-0.12 [95\% CI -0.15 to -0.09]; =5.9{\texttimes}10). Altogether, GEH-SNPs explained 1.1\% to 1.6\% of GEH variance. Loci on chromosomes 4 (near ), 5 (), 11 (11p11.2 region cluster), and 7 (near ) are novel ECG phenotype-associated loci. Several loci significantly associated with gene expression in the left ventricle ( locus-with ; locus-with ), and atria ( locus-with expression of a long non-coding RNA and ).

CONCLUSIONS: We identified 10 genetic loci associated with ECG GEH. Replication of GEH GWAS findings in independent cohorts is warranted. Further studies of GEH-loci may uncover mechanisms of arrhythmogenic remodeling in response to cardiovascular risk factors.

}, issn = {2047-9980}, doi = {10.1161/JAHA.117.008160}, author = {Tereshchenko, Larisa G and Sotoodehnia, Nona and Sitlani, Colleen M and Ashar, Foram N and Kabir, Muammar and Biggs, Mary L and Morley, Michael P and Waks, Jonathan W and Soliman, Elsayed Z and Buxton, Alfred E and Biering-S{\o}rensen, Tor and Solomon, Scott D and Post, Wendy S and Cappola, Thomas P and Siscovick, David S and Arking, Dan E} } @article {7848, title = {Genome-wide meta-analysis of 158,000 individuals of European ancestry identifies three loci associated with chronic back pain.}, journal = {PLoS Genet}, volume = {14}, year = {2018}, month = {2018 Sep}, pages = {e1007601}, abstract = {

Back pain is the $\#$1 cause of years lived with disability worldwide, yet surprisingly little is known regarding the biology underlying this symptom. We conducted a genome-wide association study (GWAS) meta-analysis of chronic back pain (CBP). Adults of European ancestry were included from 15 cohorts in the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium, and from the UK Biobank interim data release. CBP cases were defined as those reporting back pain present for >=3-6 months; non-cases were included as comparisons ("controls"). Each cohort conducted genotyping using commercially available arrays followed by imputation. GWAS used logistic regression models with additive genetic effects, adjusting for age, sex, study-specific covariates, and population substructure. The threshold for genome-wide significance in the fixed-effect inverse-variance weighted meta-analysis was p<5{\texttimes}10-8. Suggestive (p<5{\texttimes}10-7) and genome-wide significant (p<5{\texttimes}10-8) variants were carried forward for replication or further investigation in the remaining UK Biobank participants not included in the discovery sample. The discovery sample comprised 158,025 individuals, including 29,531 CBP cases. A genome-wide significant association was found for the intronic variant rs12310519 in SOX5 (OR 1.08, p = 7.2{\texttimes}10-10). This was subsequently replicated in 283,752 UK Biobank participants not included in the discovery sample, including 50,915 cases (OR 1.06, p = 5.3{\texttimes}10-11), and exceeded genome-wide significance in joint meta-analysis (OR 1.07, p = 4.5{\texttimes}10-19). We found suggestive associations at three other loci in the discovery sample, two of which exceeded genome-wide significance in joint meta-analysis: an intergenic variant, rs7833174, located between CCDC26 and GSDMC (OR 1.05, p = 4.4{\texttimes}10-13), and an intronic variant, rs4384683, in DCC (OR 0.97, p = 2.4{\texttimes}10-10). In this first reported meta-analysis of GWAS for CBP, we identified and replicated a genetic locus associated with CBP (SOX5). We also identified 2 other loci that reached genome-wide significance in a 2-stage joint meta-analysis (CCDC26/GSDMC and DCC).

}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1007601}, author = {Suri, Pradeep and Palmer, Melody R and Tsepilov, Yakov A and Freidin, Maxim B and Boer, Cindy G and Yau, Michelle S and Evans, Daniel S and Gelemanovic, Andrea and Bartz, Traci M and Nethander, Maria and Arbeeva, Liubov and Karssen, Lennart and Neogi, Tuhina and Campbell, Archie and Mellstr{\"o}m, Dan and Ohlsson, Claes and Marshall, Lynn M and Orwoll, Eric and Uitterlinden, Andre and Rotter, Jerome I and Lauc, Gordan and Psaty, Bruce M and Karlsson, Magnus K and Lane, Nancy E and Jarvik, Gail P and Polasek, Ozren and Hochberg, Marc and Jordan, Joanne M and van Meurs, Joyce B J and Jackson, Rebecca and Nielson, Carrie M and Mitchell, Braxton D and Smith, Blair H and Hayward, Caroline and Smith, Nicholas L and Aulchenko, Yurii S and Williams, Frances M K} } @article {7794, title = {Genome-wide meta-analysis of SNP-by9-ACEI/ARB and SNP-by-thiazide diuretic and effect on serum potassium in cohorts of European and African ancestry.}, journal = {Pharmacogenomics J}, year = {2018}, month = {2018 Jun 01}, abstract = {

We evaluated interactions of SNP-by-ACE-I/ARB and SNP-by-TD on serum potassium (K+) among users of antihypertensive treatments (anti-HTN). Our study included seven European-ancestry (EA) (N = 4835) and four African-ancestry (AA) cohorts (N = 2016). We performed race-stratified, fixed-effect, inverse-variance-weighted meta-analyses of 2.5 million SNP-by-drug interaction estimates; race-combined meta-analysis; and trans-ethnic fine-mapping. Among EAs, we identified 11 significant SNPs (P < 5 {\texttimes} 10) for SNP-ACE-I/ARB interactions on serum K+ that were located between NR2F1-AS1 and ARRDC3-AS1 on chromosome 5 (top SNP rs6878413 P = 1.7 {\texttimes} 10; ratio of serum K+ in ACE-I/ARB exposed compared to unexposed is 1.0476, 1.0280, 1.0088 for the TT, AT, and AA genotypes, respectively). Trans-ethnic fine mapping identified the same group of SNPs on chromosome 5 as genome-wide significant for the ACE-I/ARB analysis. In conclusion, SNP-by-ACE-I /ARB interaction analyses uncovered loci that, if replicated, could have future implications for the prevention of arrhythmias due to anti-HTN treatment-related hyperkalemia. Before these loci can be identified as clinically relevant, future validation studies of equal or greater size in comparison to our discovery effort are needed.

}, issn = {1473-1150}, doi = {10.1038/s41397-018-0021-9}, author = {Irvin, Marguerite R and Sitlani, Colleen M and Noordam, Raymond and Avery, Christie L and Bis, Joshua C and Floyd, James S and Li, Jin and Limdi, Nita A and Srinivasasainagendra, Vinodh and Stewart, James and de Mutsert, Ren{\'e}e and Mook-Kanamori, Dennis O and Lipovich, Leonard and Kleinbrink, Erica L and Smith, Albert and Bartz, Traci M and Whitsel, Eric A and Uitterlinden, Andr{\'e} G and Wiggins, Kerri L and Wilson, James G and Zhi, Degui and Stricker, Bruno H and Rotter, Jerome I and Arnett, Donna K and Psaty, Bruce M and Lange, Leslie A} } @article {7913, title = {GWAS and colocalization analyses implicate carotid intima-media thickness and carotid plaque loci in cardiovascular outcomes.}, journal = {Nat Commun}, volume = {9}, year = {2018}, month = {2018 12 03}, pages = {5141}, abstract = {

Carotid artery intima media thickness (cIMT) and carotid plaque are measures of subclinical atherosclerosis associated with ischemic stroke and coronary heart disease (CHD). Here, we undertake meta-analyses of genome-wide association studies (GWAS) in 71,128 individuals for cIMT, and 48,434 individuals for carotid plaque traits. We identify eight novel susceptibility loci for cIMT, one independent association at the previously-identified PINX1 locus, and one novel locus for carotid plaque. Colocalization analysis with nearby vascular expression quantitative loci (cis-eQTLs) derived from arterial wall and metabolic tissues obtained from patients with CHD identifies candidate genes at two potentially additional loci, ADAMTS9 and LOXL4. LD score regression reveals significant genetic correlations between cIMT and plaque traits, and both cIMT and plaque with CHD, any stroke subtype and ischemic stroke. Our study provides insights into genes and tissue-specific regulatory mechanisms linking atherosclerosis both to its functional genomic origins and its clinical consequences in humans.

}, keywords = {ADAMTS9 Protein, Amino Acid Oxidoreductases, Carotid Intima-Media Thickness, Coronary Disease, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Lod Score, Plaque, Atherosclerotic, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Risk Factors}, issn = {2041-1723}, doi = {10.1038/s41467-018-07340-5}, author = {Franceschini, Nora and Giambartolomei, Claudia and de Vries, Paul S and Finan, Chris and Bis, Joshua C and Huntley, Rachael P and Lovering, Ruth C and Tajuddin, Salman M and Winkler, Thomas W and Graff, Misa and Kavousi, Maryam and Dale, Caroline and Smith, Albert V and Hofer, Edith and van Leeuwen, Elisabeth M and Nolte, Ilja M and Lu, Lingyi and Scholz, Markus and Sargurupremraj, Muralidharan and Pitk{\"a}nen, Niina and Franz{\'e}n, Oscar and Joshi, Peter K and Noordam, Raymond and Marioni, Riccardo E and Hwang, Shih-Jen and Musani, Solomon K and Schminke, Ulf and Palmas, Walter and Isaacs, Aaron and Correa, Adolfo and Zonderman, Alan B and Hofman, Albert and Teumer, Alexander and Cox, Amanda J and Uitterlinden, Andr{\'e} G and Wong, Andrew and Smit, Andries J and Newman, Anne B and Britton, Annie and Ruusalepp, Arno and Sennblad, Bengt and Hedblad, Bo and Pasaniuc, Bogdan and Penninx, Brenda W and Langefeld, Carl D and Wassel, Christina L and Tzourio, Christophe and Fava, Cristiano and Baldassarre, Damiano and O{\textquoteright}Leary, Daniel H and Teupser, Daniel and Kuh, Diana and Tremoli, Elena and Mannarino, Elmo and Grossi, Enzo and Boerwinkle, Eric and Schadt, Eric E and Ingelsson, Erik and Veglia, Fabrizio and Rivadeneira, Fernando and Beutner, Frank and Chauhan, Ganesh and Heiss, Gerardo and Snieder, Harold and Campbell, Harry and V{\"o}lzke, Henry and Markus, Hugh S and Deary, Ian J and Jukema, J Wouter and de Graaf, Jacqueline and Price, Jacqueline and Pott, Janne and Hopewell, Jemma C and Liang, Jingjing and Thiery, Joachim and Engmann, Jorgen and Gertow, Karl and Rice, Kenneth and Taylor, Kent D and Dhana, Klodian and Kiemeney, Lambertus A L M and Lind, Lars and Raffield, Laura M and Launer, Lenore J and Holdt, Lesca M and D{\"o}rr, Marcus and Dichgans, Martin and Traylor, Matthew and Sitzer, Matthias and Kumari, Meena and Kivimaki, Mika and Nalls, Mike A and Melander, Olle and Raitakari, Olli and Franco, Oscar H and Rueda-Ochoa, Oscar L and Roussos, Panos and Whincup, Peter H and Amouyel, Philippe and Giral, Philippe and Anugu, Pramod and Wong, Quenna and Malik, Rainer and Rauramaa, Rainer and Burkhardt, Ralph and Hardy, Rebecca and Schmidt, Reinhold and de Mutsert, Ren{\'e}e and Morris, Richard W and Strawbridge, Rona J and Wannamethee, S Goya and H{\"a}gg, Sara and Shah, Sonia and McLachlan, Stela and Trompet, Stella and Seshadri, Sudha and Kurl, Sudhir and Heckbert, Susan R and Ring, Susan and Harris, Tamara B and Lehtim{\"a}ki, Terho and Galesloot, Tessel E and Shah, Tina and de Faire, Ulf and Plagnol, Vincent and Rosamond, Wayne D and Post, Wendy and Zhu, Xiaofeng and Zhang, Xiaoling and Guo, Xiuqing and Saba, Yasaman and Dehghan, Abbas and Seldenrijk, Adrie and Morrison, Alanna C and Hamsten, Anders and Psaty, Bruce M and van Duijn, Cornelia M and Lawlor, Deborah A and Mook-Kanamori, Dennis O and Bowden, Donald W and Schmidt, Helena and Wilson, James F and Wilson, James G and Rotter, Jerome I and Wardlaw, Joanna M and Deanfield, John and Halcox, Julian and Lyytik{\"a}inen, Leo-Pekka and Loeffler, Markus and Evans, Michele K and Debette, Stephanie and Humphries, Steve E and V{\"o}lker, Uwe and Gudnason, Vilmundur and Hingorani, Aroon D and Bj{\"o}rkegren, Johan L M and Casas, Juan P and O{\textquoteright}Donnell, Christopher J} } @article {8206, title = {Genetic architecture of subcortical brain structures in 38,851 individuals.}, journal = {Nat Genet}, volume = {51}, year = {2019}, month = {2019 Nov}, pages = {1624-1636}, abstract = {

Subcortical brain structures are integral to motion, consciousness, emotions and learning. We identified common genetic variation related to the volumes of the nucleus accumbens, amygdala, brainstem, caudate nucleus, globus pallidus, putamen and thalamus, using genome-wide association analyses in almost 40,000 individuals from CHARGE, ENIGMA and UK Biobank. We show that variability in subcortical volumes is heritable, and identify 48 significantly associated loci (40 novel at the time of analysis). Annotation of these loci by utilizing gene expression, methylation and neuropathological data identified 199 genes putatively implicated in neurodevelopment, synaptic signaling, axonal transport, apoptosis, inflammation/infection and susceptibility to neurological disorders. This set of genes is significantly enriched for Drosophila orthologs associated with neurodevelopmental phenotypes, suggesting evolutionarily conserved mechanisms. Our findings uncover novel biology and potential drug targets underlying brain development and disease.

}, issn = {1546-1718}, doi = {10.1038/s41588-019-0511-y}, author = {Satizabal, Claudia L and Adams, Hieab H H and Hibar, Derrek P and White, Charles C and Knol, Maria J and Stein, Jason L and Scholz, Markus and Sargurupremraj, Muralidharan and Jahanshad, Neda and Roshchupkin, Gennady V and Smith, Albert V and Bis, Joshua C and Jian, Xueqiu and Luciano, Michelle and Hofer, Edith and Teumer, Alexander and van der Lee, Sven J and Yang, Jingyun and Yanek, Lisa R and Lee, Tom V and Li, Shuo and Hu, Yanhui and Koh, Jia Yu and Eicher, John D and Desrivi{\`e}res, Sylvane and Arias-Vasquez, Alejandro and Chauhan, Ganesh and Athanasiu, Lavinia and Renter{\'\i}a, Miguel E and Kim, Sungeun and Hoehn, David and Armstrong, Nicola J and Chen, Qiang and Holmes, Avram J and den Braber, Anouk and Kloszewska, Iwona and Andersson, Micael and Espeseth, Thomas and Grimm, Oliver and Abramovic, Lucija and Alhusaini, Saud and Milaneschi, Yuri and Papmeyer, Martina and Axelsson, Tomas and Ehrlich, Stefan and Roiz-Santia{\~n}ez, Roberto and Kraemer, Bernd and H{\r a}berg, Asta K and Jones, Hannah J and Pike, G Bruce and Stein, Dan J and Stevens, Allison and Bralten, Janita and Vernooij, Meike W and Harris, Tamara B and Filippi, Irina and Witte, A Veronica and Guadalupe, Tulio and Wittfeld, Katharina and Mosley, Thomas H and Becker, James T and Doan, Nhat Trung and Hagenaars, Saskia P and Saba, Yasaman and Cuellar-Partida, Gabriel and Amin, Najaf and Hilal, Saima and Nho, Kwangsik and Mirza-Schreiber, Nazanin and Arfanakis, Konstantinos and Becker, Diane M and Ames, David and Goldman, Aaron L and Lee, Phil H and Boomsma, Dorret I and Lovestone, Simon and Giddaluru, Sudheer and Le Hellard, Stephanie and Mattheisen, Manuel and Bohlken, Marc M and Kasperaviciute, Dalia and Schmaal, Lianne and Lawrie, Stephen M and Agartz, Ingrid and Walton, Esther and Tordesillas-Gutierrez, Diana and Davies, Gareth E and Shin, Jean and Ipser, Jonathan C and Vinke, Louis N and Hoogman, Martine and Jia, Tianye and Burkhardt, Ralph and Klein, Marieke and Crivello, Fabrice and Janowitz, Deborah and Carmichael, Owen and Haukvik, Unn K and Aribisala, Benjamin S and Schmidt, Helena and Strike, Lachlan T and Cheng, Ching-Yu and Risacher, Shannon L and P{\"u}tz, Benno and Fleischman, Debra A and Assareh, Amelia A and Mattay, Venkata S and Buckner, Randy L and Mecocci, Patrizia and Dale, Anders M and Cichon, Sven and Boks, Marco P and Matarin, Mar and Penninx, Brenda W J H and Calhoun, Vince D and Chakravarty, M Mallar and Marquand, Andre F and Macare, Christine and Kharabian Masouleh, Shahrzad and Oosterlaan, Jaap and Amouyel, Philippe and Hegenscheid, Katrin and Rotter, Jerome I and Schork, Andrew J and Liewald, David C M and de Zubicaray, Greig I and Wong, Tien Yin and Shen, Li and S{\"a}mann, Philipp G and Brodaty, Henry and Roffman, Joshua L and de Geus, Eco J C and Tsolaki, Magda and Erk, Susanne and van Eijk, Kristel R and Cavalleri, Gianpiero L and van der Wee, Nic J A and McIntosh, Andrew M and Gollub, Randy L and Bulayeva, Kazima B and Bernard, Manon and Richards, Jennifer S and Himali, Jayandra J and Loeffler, Markus and Rommelse, Nanda and Hoffmann, Wolfgang and Westlye, Lars T and Vald{\'e}s Hern{\'a}ndez, Maria C and Hansell, Narelle K and van Erp, Theo G M and Wolf, Christiane and Kwok, John B J and Vellas, Bruno and Heinz, Andreas and Olde Loohuis, Loes M and Delanty, Norman and Ho, Beng-Choon and Ching, Christopher R K and Shumskaya, Elena and Singh, Baljeet and Hofman, Albert and van der Meer, Dennis and Homuth, Georg and Psaty, Bruce M and Bastin, Mark E and Montgomery, Grant W and Foroud, Tatiana M and Reppermund, Simone and Hottenga, Jouke-Jan and Simmons, Andrew and Meyer-Lindenberg, Andreas and Cahn, Wiepke and Whelan, Christopher D and van Donkelaar, Marjolein M J and Yang, Qiong and Hosten, Norbert and Green, Robert C and Thalamuthu, Anbupalam and Mohnke, Sebastian and Hulshoff Pol, Hilleke E and Lin, Honghuang and Jack, Clifford R and Schofield, Peter R and M{\"u}hleisen, Thomas W and Maillard, Pauline and Potkin, Steven G and Wen, Wei and Fletcher, Evan and Toga, Arthur W and Gruber, Oliver and Huentelman, Matthew and Davey Smith, George and Launer, Lenore J and Nyberg, Lars and J{\"o}nsson, Erik G and Crespo-Facorro, Benedicto and Koen, Nastassja and Greve, Douglas N and Uitterlinden, Andr{\'e} G and Weinberger, Daniel R and Steen, Vidar M and Fedko, Iryna O and Groenewold, Nynke A and Niessen, Wiro J and Toro, Roberto and Tzourio, Christophe and Longstreth, William T and Ikram, M Kamran and Smoller, Jordan W and van Tol, Marie-Jose and Sussmann, Jessika E and Paus, Tom{\'a}{\v s} and Lema{\^\i}tre, Herv{\'e} and Schroeter, Matthias L and Mazoyer, Bernard and Andreassen, Ole A and Holsboer, Florian and Depondt, Chantal and Veltman, Dick J and Turner, Jessica A and Pausova, Zdenka and Schumann, Gunter and van Rooij, Daan and Djurovic, Srdjan and Deary, Ian J and McMahon, Katie L and M{\"u}ller-Myhsok, Bertram and Brouwer, Rachel M and Soininen, Hilkka and Pandolfo, Massimo and Wassink, Thomas H and Cheung, Joshua W and Wolfers, Thomas and Martinot, Jean-Luc and Zwiers, Marcel P and Nauck, Matthias and Melle, Ingrid and Martin, Nicholas G and Kanai, Ryota and Westman, Eric and Kahn, Ren{\'e} S and Sisodiya, Sanjay M and White, Tonya and Saremi, Arvin and van Bokhoven, Hans and Brunner, Han G and V{\"o}lzke, Henry and Wright, Margaret J and van {\textquoteright}t Ent, Dennis and N{\"o}then, Markus M and Ophoff, Roel A and Buitelaar, Jan K and Fern{\'a}ndez, Guill{\'e}n and Sachdev, Perminder S and Rietschel, Marcella and van Haren, Neeltje E M and Fisher, Simon E and Beiser, Alexa S and Francks, Clyde and Saykin, Andrew J and Mather, Karen A and Romanczuk-Seiferth, Nina and Hartman, Catharina A and DeStefano, Anita L and Heslenfeld, Dirk J and Weiner, Michael W and Walter, Henrik and Hoekstra, Pieter J and Nyquist, Paul A and Franke, Barbara and Bennett, David A and Grabe, Hans J and Johnson, Andrew D and Chen, Christopher and van Duijn, Cornelia M and Lopez, Oscar L and Fornage, Myriam and Wardlaw, Joanna M and Schmidt, Reinhold and DeCarli, Charles and De Jager, Philip L and Villringer, Arno and Debette, Stephanie and Gudnason, Vilmundur and Medland, Sarah E and Shulman, Joshua M and Thompson, Paul M and Seshadri, Sudha and Ikram, M Arfan} } @article {7977, title = {Genetic meta-analysis of diagnosed Alzheimer{\textquoteright}s disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing.}, journal = {Nat Genet}, volume = {51}, year = {2019}, month = {2019 Mar}, pages = {414-430}, abstract = {

Risk for late-onset Alzheimer{\textquoteright}s disease (LOAD), the most prevalent dementia, is partially driven by genetics. To identify LOAD risk loci, we performed a large genome-wide association meta-analysis of clinically diagnosed LOAD (94,437 individuals). We confirm 20 previous LOAD risk loci and identify five new genome-wide loci (IQCK, ACE, ADAM10, ADAMTS1, and WWOX), two of which (ADAM10, ACE) were identified in a recent genome-wide association (GWAS)-by-familial-proxy of Alzheimer{\textquoteright}s or dementia. Fine-mapping of the human leukocyte antigen (HLA) region confirms the neurological and immune-mediated disease haplotype HLA-DR15 as a risk factor for LOAD. Pathway analysis implicates immunity, lipid metabolism, tau binding proteins, and amyloid precursor protein (APP) metabolism, showing that genetic variants affecting APP and Aβ processing are associated not only with early-onset autosomal dominant Alzheimer{\textquoteright}s disease but also with LOAD. Analyses of risk genes and pathways show enrichment for rare variants (P = 1.32 {\texttimes} 10), indicating that additional rare variants remain to be identified. We also identify important genetic correlations between LOAD and traits such as family history of dementia and education.

}, issn = {1546-1718}, doi = {10.1038/s41588-019-0358-2}, author = {Kunkle, Brian W and Grenier-Boley, Benjamin and Sims, Rebecca and Bis, Joshua C and Damotte, Vincent and Naj, Adam C and Boland, Anne and Vronskaya, Maria and van der Lee, Sven J and Amlie-Wolf, Alexandre and Bellenguez, C{\'e}line and Frizatti, Aura and Chouraki, Vincent and Martin, Eden R and Sleegers, Kristel and Badarinarayan, Nandini and Jakobsdottir, Johanna and Hamilton-Nelson, Kara L and Moreno-Grau, Sonia and Olaso, Robert and Raybould, Rachel and Chen, Yuning and Kuzma, Amanda B and Hiltunen, Mikko and Morgan, Taniesha and Ahmad, Shahzad and Vardarajan, Badri N and Epelbaum, Jacques and Hoffmann, Per and Boada, Merce and Beecham, Gary W and Garnier, Jean-Guillaume and Harold, Denise and Fitzpatrick, Annette L and Valladares, Otto and Moutet, Marie-Laure and Gerrish, Amy and Smith, Albert V and Qu, Liming and Bacq, Delphine and Denning, Nicola and Jian, Xueqiu and Zhao, Yi and Del Zompo, Maria and Fox, Nick C and Choi, Seung-Hoan and Mateo, Ignacio and Hughes, Joseph T and Adams, Hieab H and Malamon, John and Sanchez-Garcia, Florentino and Patel, Yogen and Brody, Jennifer A and Dombroski, Beth A and Naranjo, Maria Candida Deniz and Daniilidou, Makrina and Eiriksdottir, Gudny and Mukherjee, Shubhabrata and Wallon, David and Uphill, James and Aspelund, Thor and Cantwell, Laura B and Garzia, Fabienne and Galimberti, Daniela and Hofer, Edith and Butkiewicz, Mariusz and Fin, Bertrand and Scarpini, Elio and Sarnowski, Chloe and Bush, Will S and Meslage, St{\'e}phane and Kornhuber, Johannes and White, Charles C and Song, Yuenjoo and Barber, Robert C and Engelborghs, Sebastiaan and Sordon, Sabrina and Voijnovic, Dina and Adams, Perrie M and Vandenberghe, Rik and Mayhaus, Manuel and Cupples, L Adrienne and Albert, Marilyn S and De Deyn, Peter P and Gu, Wei and Himali, Jayanadra J and Beekly, Duane and Squassina, Alessio and Hartmann, Annette M and Orellana, Adelina and Blacker, Deborah and Rodriguez-Rodriguez, Eloy and Lovestone, Simon and Garcia, Melissa E and Doody, Rachelle S and Munoz-Fernadez, Carmen and Sussams, Rebecca and Lin, Honghuang and Fairchild, Thomas J and Benito, Yolanda A and Holmes, Clive and Karamuji{\'c}-{\v C}omi{\'c}, Hata and Frosch, Matthew P and Thonberg, H{\r a}kan and Maier, Wolfgang and Roschupkin, Gena and Ghetti, Bernardino and Giedraitis, Vilmantas and Kawalia, Amit and Li, Shuo and Huebinger, Ryan M and Kilander, Lena and Moebus, Susanne and Hernandez, Isabel and Kamboh, M Ilyas and Brundin, RoseMarie and Turton, James and Yang, Qiong and Katz, Mindy J and Concari, Letizia and Lord, Jenny and Beiser, Alexa S and Keene, C Dirk and Helisalmi, Seppo and Kloszewska, Iwona and Kukull, Walter A and Koivisto, Anne Maria and Lynch, Aoibhinn and Tarraga, Lluis and Larson, Eric B and Haapasalo, Annakaisa and Lawlor, Brian and Mosley, Thomas H and Lipton, Richard B and Solfrizzi, Vincenzo and Gill, Michael and Longstreth, W T and Montine, Thomas J and Frisardi, Vincenza and Diez-Fairen, Monica and Rivadeneira, Fernando and Petersen, Ronald C and Deramecourt, Vincent and Alvarez, Ignacio and Salani, Francesca and Ciaramella, Antonio and Boerwinkle, Eric and Reiman, Eric M and Fi{\'e}vet, Nathalie and Rotter, Jerome I and Reisch, Joan S and Hanon, Olivier and Cupidi, Chiara and Andre Uitterlinden, A G and Royall, Donald R and Dufouil, Carole and Maletta, Raffaele Giovanni and de Rojas, Itziar and Sano, Mary and Brice, Alexis and Cecchetti, Roberta and George-Hyslop, Peter St and Ritchie, Karen and Tsolaki, Magda and Tsuang, Debby W and Dubois, Bruno and Craig, David and Wu, Chuang-Kuo and Soininen, Hilkka and Avramidou, Despoina and Albin, Roger L and Fratiglioni, Laura and Germanou, Antonia and Apostolova, Liana G and Keller, Lina and Koutroumani, Maria and Arnold, Steven E and Panza, Francesco and Gkatzima, Olymbia and Asthana, Sanjay and Hannequin, Didier and Whitehead, Patrice and Atwood, Craig S and Caffarra, Paolo and Hampel, Harald and Quintela, In{\'e}s and Carracedo, Angel and Lannfelt, Lars and Rubinsztein, David C and Barnes, Lisa L and Pasquier, Florence and Fr{\"o}lich, Lutz and Barral, Sandra and McGuinness, Bernadette and Beach, Thomas G and Johnston, Janet A and Becker, James T and Passmore, Peter and Bigio, Eileen H and Schott, Jonathan M and Bird, Thomas D and Warren, Jason D and Boeve, Bradley F and Lupton, Michelle K and Bowen, James D and Proitsi, Petra and Boxer, Adam and Powell, John F and Burke, James R and Kauwe, John S K and Burns, Jeffrey M and Mancuso, Michelangelo and Buxbaum, Joseph D and Bonuccelli, Ubaldo and Cairns, Nigel J and McQuillin, Andrew and Cao, Chuanhai and Livingston, Gill and Carlson, Chris S and Bass, Nicholas J and Carlsson, Cynthia M and Hardy, John and Carney, Regina M and Bras, Jose and Carrasquillo, Minerva M and Guerreiro, Rita and Allen, Mariet and Chui, Helena C and Fisher, Elizabeth and Masullo, Carlo and Crocco, Elizabeth A and DeCarli, Charles and Bisceglio, Gina and Dick, Malcolm and Ma, Li and Duara, Ranjan and Graff-Radford, Neill R and Evans, Denis A and Hodges, Angela and Faber, Kelley M and Scherer, Martin and Fallon, Kenneth B and Riemenschneider, Matthias and Fardo, David W and Heun, Reinhard and Farlow, Martin R and K{\"o}lsch, Heike and Ferris, Steven and Leber, Markus and Foroud, Tatiana M and Heuser, Isabella and Galasko, Douglas R and Giegling, Ina and Gearing, Marla and H{\"u}ll, Michael and Geschwind, Daniel H and Gilbert, John R and Morris, John and Green, Robert C and Mayo, Kevin and Growdon, John H and Feulner, Thomas and Hamilton, Ronald L and Harrell, Lindy E and Drichel, Dmitriy and Honig, Lawrence S and Cushion, Thomas D and Huentelman, Matthew J and Hollingworth, Paul and Hulette, Christine M and Hyman, Bradley T and Marshall, Rachel and Jarvik, Gail P and Meggy, Alun and Abner, Erin and Menzies, Georgina E and Jin, Lee-Way and Leonenko, Ganna and Real, Luis M and Jun, Gyungah R and Baldwin, Clinton T and Grozeva, Detelina and Karydas, Anna and Russo, Giancarlo and Kaye, Jeffrey A and Kim, Ronald and Jessen, Frank and Kowall, Neil W and Vellas, Bruno and Kramer, Joel H and Vardy, Emma and LaFerla, Frank M and J{\"o}ckel, Karl-Heinz and Lah, James J and Dichgans, Martin and Leverenz, James B and Mann, David and Levey, Allan I and Pickering-Brown, Stuart and Lieberman, Andrew P and Klopp, Norman and Lunetta, Kathryn L and Wichmann, H-Erich and Lyketsos, Constantine G and Morgan, Kevin and Marson, Daniel C and Brown, Kristelle and Martiniuk, Frank and Medway, Christopher and Mash, Deborah C and N{\"o}then, Markus M and Masliah, Eliezer and Hooper, Nigel M and McCormick, Wayne C and Daniele, Antonio and McCurry, Susan M and Bayer, Anthony and McDavid, Andrew N and Gallacher, John and McKee, Ann C and van den Bussche, Hendrik and Mesulam, Marsel and Brayne, Carol and Miller, Bruce L and Riedel-Heller, Steffi and Miller, Carol A and Miller, Joshua W and Al-Chalabi, Ammar and Morris, John C and Shaw, Christopher E and Myers, Amanda J and Wiltfang, Jens and O{\textquoteright}Bryant, Sid and Olichney, John M and Alvarez, Victoria and Parisi, Joseph E and Singleton, Andrew B and Paulson, Henry L and Collinge, John and Perry, William R and Mead, Simon and Peskind, Elaine and Cribbs, David H and Rossor, Martin and Pierce, Aimee and Ryan, Natalie S and Poon, Wayne W and Nacmias, Benedetta and Potter, Huntington and Sorbi, Sandro and Quinn, Joseph F and Sacchinelli, Eleonora and Raj, Ashok and Spalletta, Gianfranco and Raskind, Murray and Caltagirone, Carlo and Boss{\`u}, Paola and Orfei, Maria Donata and Reisberg, Barry and Clarke, Robert and Reitz, Christiane and Smith, A David and Ringman, John M and Warden, Donald and Roberson, Erik D and Wilcock, Gordon and Rogaeva, Ekaterina and Bruni, Amalia Cecilia and Rosen, Howard J and Gallo, Maura and Rosenberg, Roger N and Ben-Shlomo, Yoav and Sager, Mark A and Mecocci, Patrizia and Saykin, Andrew J and Pastor, Pau and Cuccaro, Michael L and Vance, Jeffery M and Schneider, Julie A and Schneider, Lori S and Slifer, Susan and Seeley, William W and Smith, Amanda G and Sonnen, Joshua A and Spina, Salvatore and Stern, Robert A and Swerdlow, Russell H and Tang, Mitchell and Tanzi, Rudolph E and Trojanowski, John Q and Troncoso, Juan C and Van Deerlin, Vivianna M and Van Eldik, Linda J and Vinters, Harry V and Vonsattel, Jean Paul and Weintraub, Sandra and Welsh-Bohmer, Kathleen A and Wilhelmsen, Kirk C and Williamson, Jennifer and Wingo, Thomas S and Woltjer, Randall L and Wright, Clinton B and Yu, Chang-En and Yu, Lei and Saba, Yasaman and Pilotto, Alberto and Bullido, Mar{\'\i}a J and Peters, Oliver and Crane, Paul K and Bennett, David and Bosco, Paola and Coto, Eliecer and Boccardi, Virginia and De Jager, Phil L and Lleo, Alberto and Warner, Nick and Lopez, Oscar L and Ingelsson, Martin and Deloukas, Panagiotis and Cruchaga, Carlos and Graff, Caroline and Gwilliam, Rhian and Fornage, Myriam and Goate, Alison M and S{\'a}nchez-Juan, Pascual and Kehoe, Patrick G and Amin, Najaf and Ertekin-Taner, Nilifur and Berr, Claudine and Debette, Stephanie and Love, Seth and Launer, Lenore J and Younkin, Steven G and Dartigues, Jean-Fran{\c c}ois and Corcoran, Chris and Ikram, M Arfan and Dickson, Dennis W and Nicolas, Ga{\"e}l and Campion, Dominique and Tschanz, JoAnn and Schmidt, Helena and Hakonarson, Hakon and Clarimon, Jordi and Munger, Ron and Schmidt, Reinhold and Farrer, Lindsay A and Van Broeckhoven, Christine and C O{\textquoteright}Donovan, Michael and DeStefano, Anita L and Jones, Lesley and Haines, Jonathan L and Deleuze, Jean-Francois and Owen, Michael J and Gudnason, Vilmundur and Mayeux, Richard and Escott-Price, Valentina and Psaty, Bruce M and Ramirez, Alfredo and Wang, Li-San and Ruiz, Agustin and van Duijn, Cornelia M and Holmans, Peter A and Seshadri, Sudha and Williams, Julie and Amouyel, Phillippe and Schellenberg, Gerard D and Lambert, Jean-Charles and Pericak-Vance, Margaret A} } @article {8204, title = {Genome Wide Meta-Analysis identifies common genetic signatures shared by heart function and Alzheimer{\textquoteright}s disease.}, journal = {Sci Rep}, volume = {9}, year = {2019}, month = {2019 Nov 13}, pages = {16665}, abstract = {

Echocardiography has become an indispensable tool for the study of heart performance, improving the monitoring of individuals with cardiac diseases. Diverse genetic factors associated with echocardiographic measures have been previously reported. The impact of several apoptotic genes in heart development identified in experimental models prompted us to assess their potential association with human cardiac function. This study aimed at investigating the possible association of variants of apoptotic genes with echocardiographic traits and to identify new genetic markers associated with cardiac function. Genome wide data from different studies were obtained from public repositories. After quality control and imputation, a meta-analysis of individual association study results was performed. Our results confirmed the role of caspases and other apoptosis related genes with cardiac phenotypes. Moreover, enrichment analysis showed an over-representation of genes, including some apoptotic regulators, associated with Alzheimer{\textquoteright}s disease. We further explored this unexpected observation which was confirmed by genetic correlation analyses. Our findings show the association of apoptotic gene variants with echocardiographic indicators of heart function and reveal a novel potential genetic link between echocardiographic measures in healthy populations and cognitive decline later on in life. These findings may have important implications for preventative strategies combating Alzheimer{\textquoteright}s disease.

}, issn = {2045-2322}, doi = {10.1038/s41598-019-52724-2}, author = {S{\'a}ez, M E and Gonz{\'a}lez-P{\'e}rez, A and Hern{\'a}ndez-Olasagarre, B and Be{\`a}, A and Moreno-Grau, S and de Rojas, I and Mont{\'e}-Rubio, G and Orellana, A and Valero, S and Comella, J X and Sanch{\'\i}s, D and Ruiz, A} } @article {8530, title = {{Genome-wide association meta-analyses and fine-mapping elucidate pathways influencing albuminuria}, journal = {Nat Commun}, volume = {10}, year = {2019}, month = {09}, pages = {4130}, abstract = {Increased levels of the urinary albumin-to-creatinine ratio (UACR) are associated with higher risk of kidney disease progression and cardiovascular events, but underlying mechanisms are incompletely understood. Here, we conduct trans-ethnic (n = 564,257) and European-ancestry specific meta-analyses of genome-wide association studies of UACR, including ancestry- and diabetes-specific analyses, and identify 68 UACR-associated loci. Genetic correlation analyses and risk score associations in an independent electronic medical records database (n = 192,868) reveal connections with proteinuria, hyperlipidemia, gout, and hypertension. Fine-mapping and trans-Omics analyses with gene expression in 47 tissues and plasma protein levels implicate genes potentially operating through differential expression in kidney (including TGFB1, MUC1, PRKCI, and OAF), and allow coupling of UACR associations to altered plasma OAF concentrations. Knockdown of OAF and PRKCI orthologs in Drosophila nephrocytes reduces albumin endocytosis. Silencing fly PRKCI further impairs slit diaphragm formation. These results generate a priority list of genes and pathways for translational research to reduce albuminuria.}, author = {Teumer, A. and Li, Y. and Ghasemi, S. and Prins, B. P. and Wuttke, M. and Hermle, T. and Giri, A. and Sieber, K. B. and Qiu, C. and Kirsten, H. and Tin, A. and Chu, A. Y. and Bansal, N. and Feitosa, M. F. and Wang, L. and Chai, J. F. and Cocca, M. and Fuchsberger, C. and Gorski, M. and Hoppmann, A. and Horn, K. and Li, M. and Marten, J. and Noce, D. and Nutile, T. and Sedaghat, S. and Sveinbjornsson, G. and Tayo, B. O. and van der Most, P. J. and Xu, Y. and Yu, Z. and Gerstner, L. and ?rnl?v, J. and Bakker, S. J. L. and Baptista, D. and Biggs, M. L. and Boerwinkle, E. and Brenner, H. and Burkhardt, R. and Carroll, R. J. and Chee, M. L. and Chee, M. L. and Chen, M. and Cheng, C. Y. and Cook, J. P. and Coresh, J. and Corre, T. and Danesh, J. and de Borst, M. H. and De Grandi, A. and de Mutsert, R. and de Vries, A. P. J. and Degenhardt, F. and Dittrich, K. and Divers, J. and Eckardt, K. U. and Ehret, G. and Endlich, K. and Felix, J. F. and Franco, O. H. and Franke, A. and Freedman, B. I. and Freitag-Wolf, S. and Gansevoort, R. T. and Giedraitis, V. and G?gele, M. and Grundner-Culemann, F. and Gudbjartsson, D. F. and Gudnason, V. and Hamet, P. and Harris, T. B. and Hicks, A. A. and Holm, H. and Foo, V. H. X. and Hwang, S. J. and Ikram, M. A. and Ingelsson, E. and Jaddoe, V. W. V. and Jakobsdottir, J. and Josyula, N. S. and Jung, B. and K?h?nen, M. and Khor, C. C. and Kiess, W. and Koenig, W. and K?rner, A. and Kovacs, P. and Kramer, H. and Kr?mer, B. K. and Kronenberg, F. and Lange, L. A. and Langefeld, C. D. and Lee, J. J. and Lehtim?ki, T. and Lieb, W. and Lim, S. C. and Lind, L. and Lindgren, C. M. and Liu, J. and Loeffler, M. and Lyytik?inen, L. P. and Mahajan, A. and Maranville, J. C. and Mascalzoni, D. and McMullen, B. and Meisinger, C. and Meitinger, T. and Miliku, K. and Mook-Kanamori, D. O. and M?ller-Nurasyid, M. and Mychaleckyj, J. C. and Nauck, M. and Nikus, K. and Ning, B. and Noordam, R. and Connell, J. O. and Olafsson, I. and Palmer, N. D. and Peters, A. and Podgornaia, A. I. and Ponte, B. and Poulain, T. and Pramstaller, P. P. and Rabelink, T. J. and Raffield, L. M. and Reilly, D. F. and Rettig, R. and Rheinberger, M. and Rice, K. M. and Rivadeneira, F. and Runz, H. and Ryan, K. A. and Sabanayagam, C. and Saum, K. U. and Sch?ttker, B. and Shaffer, C. M. and Shi, Y. and Smith, A. V. and Strauch, K. and Stumvoll, M. and Sun, B. B. and Szymczak, S. and Tai, E. S. and Tan, N. Y. Q. and Taylor, K. D. and Teren, A. and Tham, Y. C. and Thiery, J. and Thio, C. H. L. and Thomsen, H. and Thorsteinsdottir, U. and T?njes, A. and Tremblay, J. and Uitterlinden, A. G. and van der Harst, P. and Verweij, N. and Vogelezang, S. and V?lker, U. and Waldenberger, M. and Wang, C. and Wilson, O. D. and Wong, C. and Wong, T. Y. and Yang, Q. and Yasuda, M. and Akilesh, S. and Bochud, M. and B?ger, C. A. and Devuyst, O. and Edwards, T. L. and Ho, K. and Morris, A. P. and Parsa, A. and Pendergrass, S. A. and Psaty, B. M. and Rotter, J. I. and Stefansson, K. and Wilson, J. G. and Susztak, K. and Snieder, H. and Heid, I. M. and Scholz, M. and Butterworth, A. S. and Hung, A. M. and Pattaro, C. and K?ttgen, A.} } @article {8534, title = {{A genome-wide association study identifies genetic loci associated with specific lobar brain volumes}, journal = {Commun Biol}, volume = {2}, year = {2019}, pages = {285}, abstract = {Brain lobar volumes are heritable but genetic studies are limited. We performed genome-wide association studies of frontal, occipital, parietal and temporal lobe volumes in 16,016 individuals, and replicated our findings in 8,789 individuals. We identified six genetic loci associated with specific lobar volumes independent of intracranial volume. Two loci, associated with occipital (6q22.32) and temporal lobe volume (12q14.3), were previously reported to associate with intracranial and hippocampal volume, respectively. We identified four loci previously unknown to affect brain volumes: 3q24 for parietal lobe volume, and 1q22, 4p16.3 and 14q23.1 for occipital lobe volume. The associated variants were located in regions enriched for histone modifications (DAAM1 and THBS3), or close to genes causing Mendelian brain-related diseases (ZIC4 and FGFRL1). No genetic overlap between lobar volumes and neurological or psychiatric diseases was observed. Our findings reveal part of the complex genetics underlying brain development and suggest a role for regulatory regions in determining brain volumes.}, author = {van der Lee, S. J. and Knol, M. J. and Chauhan, G. and Satizabal, C. L. and Smith, A. V. and Hofer, E. and Bis, J. C. and Hibar, D. P. and Hilal, S. and van den Akker, E. B. and Arfanakis, K. and Bernard, M. and Yanek, L. R. and Amin, N. and Crivello, F. and Cheung, J. W. and Harris, T. B. and Saba, Y. and Lopez, O. L. and Li, S. and van der Grond, J. and Yu, L. and Paus, T. and Roshchupkin, G. V. and Amouyel, P. and Jahanshad, N. and Taylor, K. D. and Yang, Q. and Mathias, R. A. and Boehringer, S. and Mazoyer, B. and Rice, K. and Cheng, C. Y. and Maillard, P. and van Heemst, D. and Wong, T. Y. and Niessen, W. J. and Beiser, A. S. and Beekman, M. and Zhao, W. and Nyquist, P. A. and Chen, C. and Launer, L. J. and Psaty, B. M. and Ikram, M. K. and Vernooij, M. W. and Schmidt, H. and Pausova, Z. and Becker, D. M. and De Jager, P. L. and Thompson, P. M. and van Duijn, C. M. and Bennett, D. A. and Slagboom, P. E. and Schmidt, R. and Longstreth, W. T. and Ikram, M. A. and Seshadri, S. and Debette, S. and Gudnason, V. and Adams, H. H. H. and DeCarli, C.} } @article {7988, title = {A genome-wide association study identifies new loci for factor VII and implicates factor VII in ischemic stroke etiology.}, journal = {Blood}, volume = {133}, year = {2019}, month = {2019 Feb 28}, pages = {967-977}, abstract = {

Factor VII (FVII) is an important component of the coagulation cascade. Few genetic loci regulating FVII activity and/or levels have been discovered to date. We conducted a meta-analysis of 9 genome-wide association studies of plasma FVII levels (7 FVII activity and 2 FVII antigen) among 27 495 participants of European and African ancestry. Each study performed ancestry-specific association analyses. Inverse variance weighted meta-analysis was performed within each ancestry group and then combined for a -ancestry meta-analysis. Our primary analysis included the 7 studies that measured FVII activity, and a secondary analysis included all 9 studies. We provided functional genomic validation for newly identified significant loci by silencing candidate genes in a human liver cell line (HuH7) using small-interfering RNA and then measuring messenger RNA and FVII protein expression. Lastly, we used meta-analysis results to perform Mendelian randomization analysis to estimate the causal effect of FVII activity on coronary artery disease, ischemic stroke (IS), and venous thromboembolism. We identified 2 novel ( and ) and 6 known loci associated with FVII activity, explaining 19.0\% of the phenotypic variance. Adding FVII antigen data to the meta-analysis did not result in the discovery of further loci. Silencing in HuH7 cells upregulated FVII, whereas silencing downregulated FVII. Mendelian randomization analyses suggest that FVII activity has a positive causal effect on the risk of IS. Variants at and contribute to FVII activity by regulating expression levels. FVII activity appears to contribute to the etiology of IS in the general population.

}, issn = {1528-0020}, doi = {10.1182/blood-2018-05-849240}, author = {de Vries, Paul S and Sabater-Lleal, Maria and Huffman, Jennifer E and Marten, Jonathan and Song, Ci and Pankratz, Nathan and Bartz, Traci M and de Haan, Hugoline G and Delgado, Graciela E and Eicher, John D and Martinez-Perez, Angel and Ward-Caviness, Cavin K and Brody, Jennifer A and Chen, Ming-Huei and de Maat, Moniek P M and Fr{\r a}nberg, Mattias and Gill, Dipender and Kleber, Marcus E and Rivadeneira, Fernando and Soria, Jos{\'e} Manuel and Tang, Weihong and Tofler, Geoffrey H and Uitterlinden, Andr{\'e} G and van Hylckama Vlieg, Astrid and Seshadri, Sudha and Boerwinkle, Eric and Davies, Neil M and Giese, Anne-Katrin and Ikram, M Kamran and Kittner, Steven J and McKnight, Barbara and Psaty, Bruce M and Reiner, Alex P and Sargurupremraj, Muralidharan and Taylor, Kent D and Fornage, Myriam and Hamsten, Anders and M{\"a}rz, Winfried and Rosendaal, Frits R and Souto, Juan Carlos and Dehghan, Abbas and Johnson, Andrew D and Morrison, Alanna C and O{\textquoteright}Donnell, Christopher J and Smith, Nicholas L} } @article {8518, title = {{Genome-Wide Association Study of Apparent Treatment-Resistant Hypertension in the CHARGE Consortium: The CHARGE Pharmacogenetics Working Group}, journal = {Am J Hypertens}, volume = {32}, year = {2019}, month = {11}, pages = {1146{\textendash}1153}, abstract = {{Only a handful of genetic discovery efforts in apparent treatment-resistant hypertension (aTRH) have been described.\ We conducted a case-control genome-wide association study of aTRH among persons treated for hypertension, using data from 10 cohorts of European ancestry (EA) and 5 cohorts of African ancestry (AA). Cases were treated with 3 different antihypertensive medication classes and had blood pressure (BP) above goal (systolic BP {\^a}{\textperthousand}{\textyen} 140 mm Hg and/or diastolic BP {\^a}{\textperthousand}{\textyen} 90 mm Hg) or 4 or more medication classes regardless of BP control (nEA = 931}, author = {Irvin, M. R. and Sitlani, C. M. and Floyd, J. S. and Psaty, B. M. and Bis, J. C. and Wiggins, K. L. and Whitsel, E. A. and Sturmer, T. and Stewart, J. and Raffield, L. and Sun, F. and Liu, C. T. and Xu, H. and Cupples, A. L. and Tanner, R. M. and Rossing, P. and Smith, A. and Zilh?o, N. R. and Launer, L. J. and Noordam, R. and Rotter, J. I. and Yao, J. and Li, X. and Guo, X. and Limdi, N. and Sundaresan, A. and Lange, L. and Correa, A. and Stott, D. J. and Ford, I. and Jukema, J. W. and Gudnason, V. and Mook-Kanamori, D. O. and Trompet, S. and Palmas, W. and Warren, H. R. and Hellwege, J. N. and Giri, A. and O{\textquoteright}Donnell, C. and Hung, A. M. and Edwards, T. L. and Ahluwalia, T. S. and Arnett, D. K. and Avery, C. L.} } @article {9372, title = {Genome-Wide Association Study of Apparent Treatment-Resistant Hypertension in the CHARGE Consortium: The CHARGE Pharmacogenetics Working Group.}, journal = {Am J Hypertens}, volume = {32}, year = {2019}, month = {2019 Nov 15}, pages = {1146-1153}, abstract = {

BACKGROUND: Only a handful of genetic discovery efforts in apparent treatment-resistant hypertension (aTRH) have been described.

METHODS: We conducted a case-control genome-wide association study of aTRH among persons treated for hypertension, using data from 10 cohorts of European ancestry (EA) and 5 cohorts of African ancestry (AA). Cases were treated with 3 different antihypertensive medication classes and had blood pressure (BP) above goal (systolic BP >= 140 mm Hg and/or diastolic BP >= 90 mm Hg) or 4 or more medication classes regardless of BP control (nEA = 931, nAA = 228). Both a normotensive control group and a treatment-responsive control group were considered in separate analyses. Normotensive controls were untreated (nEA = 14,210, nAA = 2,480) and had systolic BP/diastolic BP < 140/90 mm Hg. Treatment-responsive controls (nEA = 5,266, nAA = 1,817) had BP at goal (<140/90 mm Hg), while treated with one antihypertensive medication class. Individual cohorts used logistic regression with adjustment for age, sex, study site, and principal components for ancestry to examine the association of single-nucleotide polymorphisms with case-control status. Inverse variance-weighted fixed-effects meta-analyses were carried out using METAL.

RESULTS: The known hypertension locus, CASZ1, was a top finding among EAs (P = 1.1 {\texttimes} 10-8) and in the race-combined analysis (P = 1.5 {\texttimes} 10-9) using the normotensive control group (rs12046278, odds ratio = 0.71 (95\% confidence interval: 0.6-0.8)). Single-nucleotide polymorphisms in this locus were robustly replicated in the Million Veterans Program (MVP) study in consideration of a treatment-responsive control group. There were no statistically significant findings for the discovery analyses including treatment-responsive controls.

CONCLUSION: This genomic discovery effort for aTRH identified CASZ1 as an aTRH risk locus.

}, keywords = {Aged, Antihypertensive Agents, Black or African American, Blood Pressure, Case-Control Studies, DNA (Cytosine-5-)-Methyltransferases, DNA Methyltransferase 3A, DNA-Binding Proteins, Drug Resistance, Dystrophin-Associated Proteins, Europe, Female, Genetic Loci, Genome-Wide Association Study, Humans, Hypertension, Male, Middle Aged, Myosin Heavy Chains, Myosin Type V, Neuropeptides, Pharmacogenetics, Pharmacogenomic Variants, Polymorphism, Single Nucleotide, Risk Assessment, Risk Factors, Transcription Factors, United States, White People}, issn = {1941-7225}, doi = {10.1093/ajh/hpz150}, author = {Irvin, Marguerite R and Sitlani, Colleen M and Floyd, James S and Psaty, Bruce M and Bis, Joshua C and Wiggins, Kerri L and Whitsel, Eric A and St{\"u}rmer, Til and Stewart, James and Raffield, Laura and Sun, Fangui and Liu, Ching-Ti and Xu, Hanfei and Cupples, Adrienne L and Tanner, Rikki M and Rossing, Peter and Smith, Albert and Zilh{\~a}o, Nuno R and Launer, Lenore J and Noordam, Raymond and Rotter, Jerome I and Yao, Jie and Li, Xiaohui and Guo, Xiuqing and Limdi, Nita and Sundaresan, Aishwarya and Lange, Leslie and Correa, Adolfo and Stott, David J and Ford, Ian and Jukema, J Wouter and Gudnason, Vilmundur and Mook-Kanamori, Dennis O and Trompet, Stella and Palmas, Walter and Warren, Helen R and Hellwege, Jacklyn N and Giri, Ayush and O{\textquoteright}donnell, Christopher and Hung, Adriana M and Edwards, Todd L and Ahluwalia, Tarunveer S and Arnett, Donna K and Avery, Christy L} } @article {8099, title = {Genome-wide association study of breakfast skipping links clock regulation with food timing.}, journal = {Am J Clin Nutr}, year = {2019}, month = {2019 Jun 13}, abstract = {

BACKGROUND: Little is known about the contribution of genetic variation to food timing, and breakfast has been determined to exhibit the most heritable meal timing. As breakfast timing and skipping are not routinely measured in large cohort studies, alternative approaches include analyses of correlated traits.

OBJECTIVES: The aim of this study was to elucidate breakfast skipping genetic variants through a proxy-phenotype genome-wide association study (GWAS) for breakfast cereal skipping, a commonly assessed correlated trait.

METHODS: We leveraged the statistical power of the UK Biobank (n~=~193,860) to identify genetic variants related to breakfast cereal skipping as a proxy-phenotype for breakfast skipping and applied several in silico approaches to investigate mechanistic functions and links to traits/diseases. Next, we attempted validation of our approach in smaller breakfast skipping GWAS from the TwinUK (n~=~2,006) and the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium (n~=~11,963).

RESULTS: In the UK Biobank, we identified 6 independent GWAS variants, including those implicated for caffeine (ARID3B/CYP1A1), carbohydrate metabolism (FGF21), schizophrenia (ZNF804A), and encoding enzymes important for N6-methyladenosine RNA transmethylation (METTL4, YWHAB, and YTHDF3), which regulates the pace of the circadian clock. Expression of identified genes was enriched in the cerebellum. Genome-wide correlation analyses indicated positive correlations with anthropometric traits. Through Mendelian randomization (MR), we observed causal links between genetically determined breakfast skipping and higher body mass index, more depressive symptoms, and smoking. In bidirectional MR, we demonstrated a causal link between being an evening person and skipping breakfast, but not vice versa. We observed association of our signals in an independent breakfast skipping GWAS in another British cohort (P~=~0.032), TwinUK, but not in a meta-analysis of non-British cohorts from the CHARGE consortium (P~=~0.095).

CONCLUSIONS: Our proxy-phenotype GWAS identified 6 genetic variants for breakfast skipping, linking clock regulation with food timing and suggesting a possible beneficial role of regular breakfast intake as part of a healthy lifestyle.

}, issn = {1938-3207}, doi = {10.1093/ajcn/nqz076}, author = {Dashti, Hassan S and Merino, Jordi and Lane, Jacqueline M and Song, Yanwei and Smith, Caren E and Tanaka, Toshiko and McKeown, Nicola M and Tucker, Chandler and Sun, Dianjianyi and Bartz, Traci M and Li-Gao, Ruifang and Nisa, Hoirun and Reutrakul, Sirimon and Lemaitre, Rozenn N and Alshehri, Tahani M and de Mutsert, Ren{\'e}e and Bazzano, Lydia and Qi, Lu and Knutson, Kristen L and Psaty, Bruce M and Mook-Kanamori, Dennis O and Perica, Vesna Boraska and Neuhouser, Marian L and Scheer, Frank A J L and Rutter, Martin K and Garaulet, Marta and Saxena, Richa} } @article {8508, title = {Genomewide Association Study of Statin-Induced Myopathy in Patients Recruited Using the UK Clinical Practice Research Datalink.}, journal = {Clin Pharmacol Ther}, volume = {106}, year = {2019}, month = {2019 12}, pages = {1353-1361}, abstract = {

Statins can be associated with myopathy. We have undertaken a genomewide association study (GWAS) to discover and validate genetic risk factors for statin-induced myopathy in a "real-world" setting. One hundred thirty-five patients with statin myopathy recruited via the UK Clinical Practice Research Datalink were genotyped using the Illumina OmniExpress Exome version 1.0 Bead Chip and compared with the Wellcome Trust Case-Control Consortium (n~=~2,501). Nominally statistically significant single nucleotide polymorphism (SNP) signals in the GWAS (P~<~5~{\texttimes}~10 ) were further evaluated in several independent cohorts (comprising 332 cases and 449 drug-tolerant controls). Only one (rs4149056/c.521C>T in the SLCO1B1 gene) SNP was genomewide significant in the severe myopathy (creatine kinase~>~10~{\texttimes}~upper limit of normal or rhabdomyolysis) group (P~=~2.55~{\texttimes}~10 ; odds ratio 5.15; 95\% confidence interval 3.13-8.45). The association with SLCO1B1 was present for several statins and replicated in the independent validation cohorts. The data highlight the role of SLCO1B1 c.521C>T SNP as a replicable genetic risk factor for statin myopathy. No other novel genetic risk factors with a similar effect size were identified.

}, keywords = {Adverse Drug Reaction Reporting Systems, Case-Control Studies, Databases, Factual, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Hydroxymethylglutaryl-CoA Reductase Inhibitors, Liver-Specific Organic Anion Transporter 1, Muscular Diseases, Pharmacogenomic Variants, Polymorphism, Single Nucleotide, Reproducibility of Results, Risk Factors, Severity of Illness Index, United Kingdom}, issn = {1532-6535}, doi = {10.1002/cpt.1557}, author = {Carr, Daniel F and Francis, Ben and Jorgensen, Andrea L and Zhang, Eunice and Chinoy, Hector and Heckbert, Susan R and Bis, Joshua C and Brody, Jennifer A and Floyd, James S and Psaty, Bruce M and Molokhia, Mariam and Lapeyre-Mestre, Maryse and Conforti, Anita and Alfirevic, Ana and van Staa, Tjeerd and Pirmohamed, Munir} } @article {8527, title = {{Genome-Wide Association Transethnic Meta-Analyses Identifies Novel Associations Regulating Coagulation Factor VIII and von Willebrand Factor Plasma Levels}, journal = {Circulation}, volume = {139}, year = {2019}, month = {01}, pages = {620{\textendash}635}, abstract = {Factor VIII (FVIII) and its carrier protein von Willebrand factor (VWF) are associated with risk of arterial and venous thrombosis and with hemorrhagic disorders. We aimed to identify and functionally test novel genetic associations regulating plasma FVIII and VWF.\ We meta-analyzed genome-wide association results from 46 354 individuals of European, African, East Asian, and Hispanic ancestry. All studies performed linear regression analysis using an additive genetic model and associated {\^a}{\textperthousand}{\textasciicircum}35 million imputed variants with natural log-transformed phenotype levels. In vitro gene silencing in cultured endothelial cells was performed for candidate genes to provide additional evidence on association and function. Two-sample Mendelian randomization analyses were applied to test the causal role of FVIII and VWF plasma levels on the risk of arterial and venous thrombotic events.\ We identified 13 novel genome-wide significant ( P{\^a}{\textperthousand}¤2.5{\~A}{\textemdash}10-8) associations, 7 with FVIII levels ( FCHO2/TMEM171/TNPO1, HLA, SOX17/RP1, LINC00583/NFIB, RAB5C-KAT2A, RPL3/TAB1/SYNGR1, and ARSA) and 11 with VWF levels ( PDHB/PXK/KCTD6, SLC39A8, FCHO2/TMEM171/TNPO1, HLA, GIMAP7/GIMAP4, OR13C5/NIPSNAP, DAB2IP, C2CD4B, RAB5C-KAT2A, TAB1/SYNGR1, and ARSA), beyond 10 previously reported associations with these phenotypes. Functional validation provided further evidence of association for all loci on VWF except ARSA and DAB2IP. Mendelian randomization suggested causal effects of plasma FVIII activity levels on venous thrombosis and coronary artery disease risk and plasma VWF levels on ischemic stroke risk.\ The meta-analysis identified 13 novel genetic loci regulating FVIII and VWF plasma levels, 10 of which we validated functionally. We provide some evidence for a causal role of these proteins in thrombotic events.}, author = {Sabater-Lleal, M. and Huffman, J. E. and de Vries, P. S. and Marten, J. and Mastrangelo, M. A. and Song, C. and Pankratz, N. and Ward-Caviness, C. K. and Yanek, L. R. and Trompet, S. and Delgado, G. E. and Guo, X. and Bartz, T. M. and Martinez-Perez, A. and Germain, M. and de Haan, H. G. and Ozel, A. B. and Polasek, O. and Smith, A. V. and Eicher, J. D. and Reiner, A. P. and Tang, W. and Davies, N. M. and Stott, D. J. and Rotter, J. I. and Tofler, G. H. and Boerwinkle, E. and de Maat, M. P. M. and Kleber, M. E. and Welsh, P. and Brody, J. A. and Chen, M. H. and Vaidya, D. and Soria, J. M. and Suchon, P. and van Hylckama Vlieg, A. and Desch, K. C. and Kolcic, I. and Joshi, P. K. and Launer, L. J. and Harris, T. B. and Campbell, H. and Rudan, I. and Becker, D. M. and Li, J. Z. and Rivadeneira, F. and Uitterlinden, A. G. and Hofman, A. and Franco, O. H. and Cushman, M. and Psaty, B. M. and Morange, P. E. and McKnight, B. and Chong, M. R. and Fernandez-Cadenas, I. and Rosand, J. and Lindgren, A. and Gudnason, V. and Wilson, J. F. and Hayward, C. and Ginsburg, D. and Fornage, M. and Rosendaal, F. R. and Souto, J. C. and Becker, L. C. and Jenny, N. S. and M?rz, W. and Jukema, J. W. and Dehghan, A. and Tr?gou?t, D. A. and Morrison, A. C. and Johnson, A. D. and O{\textquoteright}Donnell, C. J. and Strachan, D. P. and Lowenstein, C. J. and Smith, N. L.} } @article {8511, title = {Genome-wide meta-analysis of SNP and antihypertensive medication interactions on left ventricular traits in African Americans.}, journal = {Mol Genet Genomic Med}, volume = {7}, year = {2019}, month = {2019 10}, pages = {e00788}, abstract = {

BACKGROUND: Left ventricular (LV) hypertrophy affects up to 43\% of African Americans (AAs). Antihypertensive treatment reduces LV mass (LVM). However, interindividual variation in LV traits in response to antihypertensive treatments exists. We hypothesized that genetic variants may modify the association of antihypertensive treatment class with LV traits measured by echocardiography.

METHODS: We evaluated the main effects of the three most common antihypertensive treatments for AAs as well as the single nucleotide polymorphism (SNP)-by-drug interaction on LVM and relative wall thickness (RWT) in 2,068 participants across five community-based cohorts. Treatments included thiazide diuretics (TDs), angiotensin converting enzyme inhibitors (ACE-Is), and dihydropyridine calcium channel blockers (dCCBs) and were compared in a pairwise manner. We performed fixed effects inverse variance weighted meta-analyses of main effects of drugs and 2.5~million SNP-by-drug interaction estimates.

RESULTS: We observed that dCCBs versus TDs were associated with higher LVM after adjusting for covariates (p~=~0.001). We report three SNPs at a single locus on chromosome 20 that modified the association between RWT and treatment when comparing dCCBs to ACE-Is with consistent effects across cohorts (smallest p~=~4.7~{\texttimes}~10 , minor allele frequency range 0.09-0.12). This locus has been linked to LV hypertrophy in a previous study. A marginally significant locus in BICD1 (rs326641) was validated in an external population.

CONCLUSIONS: Our study identified one locus having genome-wide significant SNP-by-drug interaction effect on RWT among dCCB users in comparison to ACE-I users. Upon additional validation in future studies, our findings can enhance the precision of medical approaches in hypertension treatment.

}, keywords = {African Americans, Angiotensin-Converting Enzyme Inhibitors, Antihypertensive Agents, Calcium Channel Blockers, Humans, Observational Studies as Topic, Pharmacogenomic Variants, Polymorphism, Single Nucleotide, Sodium Chloride Symporter Inhibitors, Ventricular Dysfunction, Left}, issn = {2324-9269}, doi = {10.1002/mgg3.788}, author = {Do, Anh N and Zhao, Wei and Baldridge, Abigail S and Raffield, Laura M and Wiggins, Kerri L and Shah, Sanjiv J and Aslibekyan, Stella and Tiwari, Hemant K and Limdi, Nita and Zhi, Degui and Sitlani, Colleen M and Taylor, Kent D and Psaty, Bruce M and Sotoodehnia, Nona and Brody, Jennifer A and Rasmussen-Torvik, Laura J and Lloyd-Jones, Donald and Lange, Leslie A and Wilson, James G and Smith, Jennifer A and Kardia, Sharon L R and Mosley, Thomas H and Vasan, Ramachandran S and Arnett, Donna K and Irvin, Marguerite R} } @article {8260, title = {Genome-wide meta-analysis of variant-by-diuretic interactions as modulators of lipid traits in persons of European and African ancestry.}, journal = {Pharmacogenomics J}, year = {2019}, month = {2019 Dec 06}, abstract = {

Hypertension (HTN) is a significant risk factor for cardiovascular morbidity and mortality. Metabolic abnormalities, including adverse cholesterol and triglycerides (TG) profiles, are frequent comorbid findings with HTN and contribute to cardiovascular disease. Diuretics, which are used to treat HTN and heart failure, have been associated with worsening of fasting lipid concentrations. Genome-wide meta-analyses with 39,710 European-ancestry (EA) individuals and 9925 African-ancestry (AA) individuals were performed to identify genetic variants that modify the effect of loop or thiazide diuretic use on blood lipid concentrations. Both longitudinal and cross sectional data were used to compute cohort-specific interaction results, which were then combined through meta-analysis in each ancestry. These ancestry-specific results were further combined through trans-ancestry meta-analysis. Analysis of EA data identified two genome-wide significant (p < 5 {\texttimes} 10) loci with single nucleotide variant (SNV)-loop diuretic interaction on TG concentrations (including COL11A1). Analysis of AA data identified one genome-wide significant locus adjacent to BMP2 with SNV-loop diuretic interaction on TG concentrations. Trans-ancestry analysis strengthened evidence of association for SNV-loop diuretic interaction at two loci (KIAA1217 and BAALC). There were few significant SNV-thiazide diuretic interaction associations on TG concentrations and for either diuretic on cholesterol concentrations. Several promising loci were identified that may implicate biologic pathways that contribute to adverse metabolic side effects from diuretic therapy.

}, issn = {1473-1150}, doi = {10.1038/s41397-019-0132-y}, author = {de Las Fuentes, L and Sung, Y J and Sitlani, C M and Avery, C L and Bartz, T M and Keyser, C de and Evans, D S and Li, X and Musani, S K and Ruiter, R and Smith, A V and Sun, F and Trompet, S and Xu, H and Arnett, D K and Bis, J C and Broeckel, U and Busch, E L and Chen, Y-D I and Correa, A and Cummings, S R and Floyd, J S and Ford, I and Guo, X and Harris, T B and Ikram, M A and Lange, L and Launer, L J and Reiner, A P and Schwander, K and Smith, N L and Sotoodehnia, N and Stewart, J D and Stott, D J and St{\"u}rmer, T and Taylor, K D and Uitterlinden, A and Vasan, R S and Wiggins, K L and Cupples, L A and Gudnason, V and Heckbert, S R and Jukema, J W and Liu, Y and Psaty, B M and Rao, D C and Rotter, J I and Stricker, B and Wilson, J G and Whitsel, E A} } @article {8200, title = {Genomic and transcriptomic association studies identify 16 novel susceptibility loci for venous thromboembolism.}, journal = {Blood}, volume = {134}, year = {2019}, month = {2019 Nov 07}, pages = {1645-1657}, abstract = {

Venous thromboembolism (VTE) is a significant contributor to morbidity and mortality. To advance our understanding of the biology contributing to VTE, we conducted a genome-wide association study (GWAS) of VTE and a transcriptome-wide association study (TWAS) based on imputed gene expression from whole blood and liver. We meta-analyzed GWAS data from 18 studies for 30 234 VTE cases and 172 122 controls and assessed the association between 12 923 718 genetic variants and VTE. We generated variant prediction scores of gene expression from whole blood and liver tissue and assessed them for association with VTE. Mendelian randomization analyses were conducted for traits genetically associated with novel VTE loci. We identified 34 independent genetic signals for VTE risk from GWAS meta-analysis, of which 14 are newly reported associations. This included 11 newly associated genetic loci (C1orf198, PLEK, OSMR-AS1, NUGGC/SCARA5, GRK5, MPHOSPH9, ARID4A, PLCG2, SMG6, EIF5A, and STX10) of which 6 replicated, and 3 new independent signals in 3 known genes. Further, TWAS identified 5 additional genetic loci with imputed gene expression levels differing between cases and controls in whole blood (SH2B3, SPSB1, RP11-747H7.3, RP4-737E23.2) and in liver (ERAP1). At some GWAS loci, we found suggestive evidence that the VTE association signal for novel and previously known regions colocalized with expression quantitative trait locus signals. Mendelian randomization analyses suggested that blood traits may contribute to the underlying risk of VTE. To conclude, we identified 16 novel susceptibility loci for VTE; for some loci, the association signals are likely mediated through gene expression of nearby genes.

}, issn = {1528-0020}, doi = {10.1182/blood.2019000435}, author = {Lindstr{\"o}m, Sara and Wang, Lu and Smith, Erin N and Gordon, William and van Hylckama Vlieg, Astrid and de Andrade, Mariza and Brody, Jennifer A and Pattee, Jack W and Haessler, Jeffrey and Brumpton, Ben M and Chasman, Daniel I and Suchon, Pierre and Chen, Ming-Huei and Turman, Constance and Germain, Marine and Wiggins, Kerri L and MacDonald, James and Braekkan, Sigrid K and Armasu, Sebastian M and Pankratz, Nathan and Jackson, Rebecca D and Nielsen, Jonas B and Giulianini, Franco and Puurunen, Marja K and Ibrahim, Manal and Heckbert, Susan R and Damrauer, Scott M and Natarajan, Pradeep and Klarin, Derek and de Vries, Paul S and Sabater-Lleal, Maria and Huffman, Jennifer E and Bammler, Theo K and Frazer, Kelly A and McCauley, Bryan M and Taylor, Kent and Pankow, James S and Reiner, Alexander P and Gabrielsen, Maiken E and Deleuze, Jean-Francois and O{\textquoteright}Donnell, Chris J and Kim, Jihye and McKnight, Barbara and Kraft, Peter and Hansen, John-Bjarne and Rosendaal, Frits R and Heit, John A and Psaty, Bruce M and Tang, Weihong and Kooperberg, Charles and Hveem, Kristian and Ridker, Paul M and Morange, Pierre-Emmanuel and Johnson, Andrew D and Kabrhel, Christopher and Tr{\'e}gou{\"e}t, David-Alexandre and Smith, Nicholas L} } @article {7981, title = {Genomics of 1 million parent lifespans implicates novel pathways and common diseases and distinguishes survival chances.}, journal = {Elife}, volume = {8}, year = {2019}, month = {2019 Jan 15}, abstract = {

We use a genome-wide association of 1 million parental lifespans of genotyped subjects and data on mortality risk factors to validate previously unreplicated findings near , , , , , and 13q21.31, and identify and replicate novel findings near , , and . We also validate previous findings near 5q33.3/ and , whilst finding contradictory evidence at other loci. Gene set and cell-specific analyses show that expression in foetal brain cells and adult dorsolateral prefrontal cortex is enriched for lifespan variation, as are gene pathways involving lipid proteins and homeostasis, vesicle-mediated transport, and synaptic function. Individual genetic variants that increase dementia, cardiovascular disease, and lung cancer - but not other cancers - explain the most variance. Resulting polygenic scores show a mean lifespan difference of around five years of life across the deciles.

Editorial note: This article has been through an editorial process in which the authors decide how to respond to the issues raised during peer review. The Reviewing Editor{\textquoteright}s assessment is that all the issues have been addressed (see decision letter).

}, issn = {2050-084X}, doi = {10.7554/eLife.39856}, author = {Timmers, Paul Rhj and Mounier, Ninon and L{\"a}ll, Kristi and Fischer, Krista and Ning, Zheng and Feng, Xiao and Bretherick, Andrew D and Clark, David W and Agbessi, M and Ahsan, H and Alves, I and Andiappan, A and Awadalla, P and Battle, A and Bonder, M J and Boomsma, D and Christiansen, M and Claringbould, A and Deelen, P and van Dongen, J and Esko, T and Fav{\'e}, M and Franke, L and Frayling, T and Gharib, S A and Gibson, G and Hemani, G and Jansen, R and Kalnapenkis, A and Kasela, S and Kettunen, J and Kim, Y and Kirsten, H and Kovacs, P and Krohn, K and Kronberg-Guzman, J and Kukushkina, V and Kutalik, Z and K{\"a}h{\"o}nen, M and Lee, B and Lehtim{\"a}ki, T and Loeffler, M and Marigorta, U and Metspalu, A and van Meurs, J and Milani, L and M{\"u}ller-Nurasyid, M and Nauck, M and Nivard, M and Penninx, B and Perola, M and Pervjakova, N and Pierce, B and Powell, J and Prokisch, H and Psaty, B M and Raitakari, O and Ring, S and Ripatti, S and Rotzschke, O and Ru{\"e}ger, S and Saha, A and Scholz, M and Schramm, K and Sepp{\"a}l{\"a}, I and Stumvoll, M and Sullivan, P and Teumer, A and Thiery, J and Tong, L and T{\"o}njes, A and Verlouw, J and Visscher, P M and V{\~o}sa, U and V{\"o}lker, U and Yaghootkar, H and Yang, J and Zeng, B and Zhang, F and Agbessi, M and Ahsan, H and Alves, I and Andiappan, A and Awadalla, P and Battle, A and Bonder, M J and Boomsma, D and Christiansen, M and Claringbould, A and Deelen, P and van Dongen, J and Esko, T and Fav{\'e}, M and Franke, L and Frayling, T and Gharib, S A and Gibson, G and Hemani, G and Jansen, R and Kalnapenkis, A and Kasela, S and Kettunen, J and Kim, Y and Kirsten, H and Kovacs, P and Krohn, K and Kronberg-Guzman, J and Kukushkina, V and Kutalik, Z and K{\"a}h{\"o}nen, M and Lee, B and Lehtim{\"a}ki, T and Loeffler, M and Marigorta, U and Metspalu, A and van Meurs, J and Milani, L and M{\"u}ller-Nurasyid, M and Nauck, M and Nivard, M and Penninx, B and Perola, M and Pervjakova, N and Pierce, B and Powell, J and Prokisch, H and Psaty, B M and Raitakari, O and Ring, S and Ripatti, S and Rotzschke, O and Ru{\"e}ger, S and Saha, A and Scholz, M and Schramm, K and Sepp{\"a}l{\"a}, I and Stumvoll, M and Sullivan, P and Teumer, A and Thiery, J and Tong, L and T{\"o}njes, A and Verlouw, J and Visscher, P M and V{\~o}sa, U and V{\"o}lker, U and Yaghootkar, H and Yang, J and Zeng, B and Zhang, F and Shen, Xia and Esko, T{\~o}nu and Kutalik, Zolt{\'a}n and Wilson, James F and Joshi, Peter K} } @article {8381, title = {Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci.}, journal = {Mol Psychiatry}, year = {2020}, month = {2020 May 05}, abstract = {

Educational attainment is widely used as a surrogate for socioeconomic status (SES). Low SES is a risk factor for hypertension and high blood pressure (BP). To identify novel BP loci, we performed multi-ancestry meta-analyses accounting for gene-educational attainment interactions using two variables, "Some College" (yes/no) and "Graduated College" (yes/no). Interactions were evaluated using both a 1 degree of freedom (DF) interaction term and a 2DF joint test of genetic and interaction effects. Analyses were performed for systolic BP, diastolic BP, mean arterial pressure, and pulse pressure. We pursued genome-wide interrogation in Stage 1 studies (N = 117 438) and follow-up on promising variants in Stage 2 studies (N = 293 787) in five ancestry groups. Through combined meta-analyses of Stages 1 and 2, we identified 84 known and 18 novel BP loci at genome-wide significance level (P < 5 {\texttimes} 10). Two novel loci were identified based on the 1DF test of interaction with educational attainment, while the remaining 16 loci were identified through the 2DF joint test of genetic and interaction effects. Ten novel loci were identified in individuals of African ancestry. Several novel loci show strong biological plausibility since they involve physiologic systems implicated in BP regulation. They include genes involved in the central nervous system-adrenal signaling axis (ZDHHC17, CADPS, PIK3C2G), vascular structure and function (GNB3, CDON), and renal function (HAS2 and HAS2-AS1, SLIT3). Collectively, these findings suggest a role of educational attainment or SES in further dissection of the genetic architecture of BP.

}, issn = {1476-5578}, doi = {10.1038/s41380-020-0719-3}, author = {de Las Fuentes, Lisa and Sung, Yun Ju and Noordam, Raymond and Winkler, Thomas and Feitosa, Mary F and Schwander, Karen and Bentley, Amy R and Brown, Michael R and Guo, Xiuqing and Manning, Alisa and Chasman, Daniel I and Aschard, Hugues and Bartz, Traci M and Bielak, Lawrence F and Campbell, Archie and Cheng, Ching-Yu and Dorajoo, Rajkumar and Hartwig, Fernando P and Horimoto, A R V R and Li, Changwei and Li-Gao, Ruifang and Liu, Yongmei and Marten, Jonathan and Musani, Solomon K and Ntalla, Ioanna and Rankinen, Tuomo and Richard, Melissa and Sim, Xueling and Smith, Albert V and Tajuddin, Salman M and Tayo, Bamidele O and Vojinovic, Dina and Warren, Helen R and Xuan, Deng and Alver, Maris and Boissel, Mathilde and Chai, Jin-Fang and Chen, Xu and Christensen, Kaare and Divers, Jasmin and Evangelou, Evangelos and Gao, Chuan and Girotto, Giorgia and Harris, Sarah E and He, Meian and Hsu, Fang-Chi and Kuhnel, Brigitte and Laguzzi, Federica and Li, Xiaoyin and Lyytik{\"a}inen, Leo-Pekka and Nolte, Ilja M and Poveda, Alaitz and Rauramaa, Rainer and Riaz, Muhammad and Rueedi, Rico and Shu, Xiao-Ou and Snieder, Harold and Sofer, Tamar and Takeuchi, Fumihiko and Verweij, Niek and Ware, Erin B and Weiss, Stefan and Yanek, Lisa R and Amin, Najaf and Arking, Dan E and Arnett, Donna K and Bergmann, Sven and Boerwinkle, Eric and Brody, Jennifer A and Broeckel, Ulrich and Brumat, Marco and Burke, Gregory and Cabrera, Claudia P and Canouil, Micka{\"e}l and Chee, Miao Li and Chen, Yii-Der Ida and Cocca, Massimiliano and Connell, John and de Silva, H Janaka and de Vries, Paul S and Eiriksdottir, Gudny and Faul, Jessica D and Fisher, Virginia and Forrester, Terrence and Fox, Ervin F and Friedlander, Yechiel and Gao, He and Gigante, Bruna and Giulianini, Franco and Gu, Chi Charles and Gu, Dongfeng and Harris, Tamara B and He, Jiang and Heikkinen, Sami and Heng, Chew-Kiat and Hunt, Steven and Ikram, M Arfan and Irvin, Marguerite R and K{\"a}h{\"o}nen, Mika and Kavousi, Maryam and Khor, Chiea Chuen and Kilpel{\"a}inen, Tuomas O and Koh, Woon-Puay and Komulainen, Pirjo and Kraja, Aldi T and Krieger, J E and Langefeld, Carl D and Li, Yize and Liang, Jingjing and Liewald, David C M and Liu, Ching-Ti and Liu, Jianjun and Lohman, Kurt K and M{\"a}gi, Reedik and McKenzie, Colin A and Meitinger, Thomas and Metspalu, Andres and Milaneschi, Yuri and Milani, Lili and Mook-Kanamori, Dennis O and Nalls, Mike A and Nelson, Christopher P and Norris, Jill M and O{\textquoteright}Connell, Jeff and Ogunniyi, Adesola and Padmanabhan, Sandosh and Palmer, Nicholette D and Pedersen, Nancy L and Perls, Thomas and Peters, Annette and Petersmann, Astrid and Peyser, Patricia A and Polasek, Ozren and Porteous, David J and Raffel, Leslie J and Rice, Treva K and Rotter, Jerome I and Rudan, Igor and Rueda-Ochoa, Oscar-Leonel and Sabanayagam, Charumathi and Salako, Babatunde L and Schreiner, Pamela J and Shikany, James M and Sidney, Stephen S and Sims, Mario and Sitlani, Colleen M and Smith, Jennifer A and Starr, John M and Strauch, Konstantin and Swertz, Morris A and Teumer, Alexander and Tham, Yih Chung and Uitterlinden, Andr{\'e} G and Vaidya, Dhananjay and van der Ende, M Yldau and Waldenberger, Melanie and Wang, Lihua and Wang, Ya-Xing and Wei, Wen-Bin and Weir, David R and Wen, Wanqing and Yao, Jie and Yu, Bing and Yu, Caizheng and Yuan, Jian-Min and Zhao, Wei and Zonderman, Alan B and Becker, Diane M and Bowden, Donald W and Deary, Ian J and D{\"o}rr, Marcus and Esko, T{\~o}nu and Freedman, Barry I and Froguel, Philippe and Gasparini, Paolo and Gieger, Christian and Jonas, Jost Bruno and Kammerer, Candace M and Kato, Norihiro and Lakka, Timo A and Leander, Karin and Lehtim{\"a}ki, Terho and Magnusson, Patrik K E and Marques-Vidal, Pedro and Penninx, Brenda W J H and Samani, Nilesh J and van der Harst, Pim and Wagenknecht, Lynne E and Wu, Tangchun and Zheng, Wei and Zhu, Xiaofeng and Bouchard, Claude and Cooper, Richard S and Correa, Adolfo and Evans, Michele K and Gudnason, Vilmundur and Hayward, Caroline and Horta, Bernardo L and Kelly, Tanika N and Kritchevsky, Stephen B and Levy, Daniel and Palmas, Walter R and Pereira, A C and Province, Michael M and Psaty, Bruce M and Ridker, Paul M and Rotimi, Charles N and Tai, E Shyong and van Dam, Rob M and van Duijn, Cornelia M and Wong, Tien Yin and Rice, Kenneth and Gauderman, W James and Morrison, Alanna C and North, Kari E and Kardia, Sharon L R and Caulfield, Mark J and Elliott, Paul and Munroe, Patricia B and Franks, Paul W and Rao, Dabeeru C and Fornage, Myriam} } @article {8397, title = {Genetic and regulatory architecture of Alzheimer{\textquoteright}s disease in the region.}, journal = {Alzheimers Dement (Amst)}, volume = {12}, year = {2020}, month = {2020}, pages = {e12008}, abstract = {

Introduction: Apolipoprotein E () ε2 and ε4 alleles encoded by rs7412 and rs429358 polymorphisms, respectively, are landmark contra and pro "risk" factors for Alzheimer{\textquoteright}s disease (AD).

Methods: We examined differences in linkage disequilibrium (LD) structures between (1) AD-affected and unaffected subjects and (2) older AD-unaffected and younger subjects in the 19q13.3 region harboring rs7412 and rs429358.

Results: AD is associated with sex-nonspecific heterogeneous patterns of decreased and increased LD of rs7412 and rs429358, respectively, with other polymorphisms from five genes in this region in AD-affected subjects. The LD patterns in older AD-unaffected subjects resembled those in younger individuals. Polarization of the ε4- and ε2 allele-related heterogeneous LD clusters differentiated cell types and implicated specific tissues in AD pathogenesis.

Discussion: Protection and predisposition to AD is characterized by an interplay of rs7412 and rs429358, with multiple polymorphisms in the 19q13.3 region in a tissue-specific manner, which is not driven by common evolutionary forces.

}, issn = {2352-8729}, doi = {10.1002/dad2.12008}, author = {Kulminski, Alexander M and Shu, Leonardo and Loika, Yury and He, Liang and Nazarian, Alireza and Arbeev, Konstantin and Ukraintseva, Svetlana and Yashin, Anatoliy and Culminskaya, Irina} } @article {8506, title = {The genetic architecture of the human cerebral cortex}, journal = {Science}, volume = {367}, year = {2020}, month = {Aug-03-2021}, pages = {eaay6690}, issn = {0036-8075}, doi = {10.1126/science.aay6690}, url = {https://www.sciencemag.org/lookup/doi/10.1126/science.aay6690https://syndication.highwire.org/content/doi/10.1126/science.aay6690https://syndication.highwire.org/content/doi/10.1126/science.aay6690}, author = {Grasby, Katrina L. and Jahanshad, Neda and Painter, Jodie N. and Colodro-Conde, Luc{\'\i}a and Bralten, Janita and Hibar, Derrek P. and Lind, Penelope A. and Pizzagalli, Fabrizio and Ching, Christopher R. K. and McMahon, Mary Agnes B. and Shatokhina, Natalia and Zsembik, Leo C. P. and Thomopoulos, Sophia I. and Zhu, Alyssa H. and Strike, Lachlan T. and Agartz, Ingrid and Alhusaini, Saud and Almeida, Marcio A. A. and Aln{\ae}s, Dag and Amlien, Inge K. and Andersson, Micael and Ard, Tyler and Armstrong, Nicola J. and Ashley-Koch, Allison and Atkins, Joshua R. and Bernard, Manon and Brouwer, Rachel M. and Buimer, Elizabeth E. L. and B{\"u}low, Robin and B{\"u}rger, Christian and Cannon, Dara M. and Chakravarty, Mallar and Chen, Qiang and Cheung, Joshua W. and Couvy-Duchesne, Baptiste and Dale, Anders M. and Dalvie, Shareefa and de Araujo, T{\^a}nia K. and de Zubicaray, Greig I. and de Zwarte, Sonja M. C. and den Braber, Anouk and Doan, Nhat Trung and Dohm, Katharina and Ehrlich, Stefan and Engelbrecht, Hannah-Ruth and Erk, Susanne and Fan, Chun Chieh and Fedko, Iryna O. and Foley, Sonya F. and Ford, Judith M. and Fukunaga, Masaki and Garrett, Melanie E. and Ge, Tian and Giddaluru, Sudheer and Goldman, Aaron L. and Green, Melissa J. and Groenewold, Nynke A. and Grotegerd, Dominik and Gurholt, Tiril P. and Gutman, Boris A. and Hansell, Narelle K. and Harris, Mathew A. and Harrison, Marc B. and Haswell, Courtney C. and Hauser, Michael and Herms, Stefan and Heslenfeld, Dirk J. and Ho, New Fei and Hoehn, David and Hoffmann, Per and Holleran, Laurena and Hoogman, Martine and Hottenga, Jouke-Jan and Ikeda, Masashi and Janowitz, Deborah and Jansen, Iris E. and Jia, Tianye and Jockwitz, Christiane and Kanai, Ryota and Karama, Sherif and Kasperaviciute, Dalia and Kaufmann, Tobias and Kelly, Sinead and Kikuchi, Masataka and Klein, Marieke and Knapp, Michael and Knodt, Annchen R. and Kr{\"a}mer, Bernd and Lam, Max and Lancaster, Thomas M. and Lee, Phil H. and Lett, Tristram A. and Lewis, Lindsay B. and Lopes-Cendes, Iscia and Luciano, Michelle and Macciardi, Fabio and Marquand, Andre F. and Mathias, Samuel R. and Melzer, Tracy R. and Milaneschi, Yuri and Mirza-Schreiber, Nazanin and Moreira, Jose C. V. and M{\"u}hleisen, Thomas W. and M{\"u}ller-Myhsok, Bertram and Najt, Pablo and Nakahara, Soichiro and Nho, Kwangsik and Olde Loohuis, Loes M. and Orfanos, Dimitri Papadopoulos and Pearson, John F. and Pitcher, Toni L. and P{\"u}tz, Benno and Quid{\'e}, Yann and Ragothaman, Anjanibhargavi and Rashid, Faisal M. and Reay, William R. and Redlich, Ronny and Reinbold, C{\'e}line S. and Repple, Jonathan and Richard, Genevi{\`e}ve and Riedel, Brandalyn C. and Risacher, Shannon L. and Rocha, Cristiane S. and Mota, Nina Roth and Salminen, Lauren and Saremi, Arvin and Saykin, Andrew J. and Schlag, Fenja and Schmaal, Lianne and Schofield, Peter R. and Secolin, Rodrigo and Shapland, Chin Yang and Shen, Li and Shin, Jean and Shumskaya, Elena and S{\o}nderby, Ida E. and Sprooten, Emma and Tansey, Katherine E. and Teumer, Alexander and Thalamuthu, Anbupalam and Tordesillas-Gutierrez, Diana and Turner, Jessica A. and Uhlmann, Anne and Vallerga, Costanza Ludovica and van der Meer, Dennis and van Donkelaar, Marjolein M. J. and van Eijk, Liza and van Erp, Theo G. M. and van Haren, Neeltje E. M. and van Rooij, Daan and van Tol, Marie-Jose and Veldink, Jan H. and Verhoef, Ellen and Walton, Esther and Wang, Mingyuan and Wang, Yunpeng and Wardlaw, Joanna M. and Wen, Wei and Westlye, Lars T. and Whelan, Christopher D. and Witt, Stephanie H. and Wittfeld, Katharina and Wolf, Christiane and Wolfers, Thomas and Wu, Jing Qin and Yasuda, Clarissa L. and Zaremba, Dario and Zhang, Zuo and Zwiers, Marcel P. and Artiges, Eric and Assareh, Amelia A. and Ayesa-Arriola, Rosa and Belger, Aysenil and Brandt, Christine L. and Brown, Gregory G. and Cichon, Sven and Curran, Joanne E. and Davies, Gareth E. and Degenhardt, Franziska and Dennis, Michelle F. and Dietsche, Bruno and Djurovic, Srdjan and Doherty, Colin P. and Espiritu, Ryan and Garijo, Daniel and Gil, Yolanda and Gowland, Penny A. and Green, Robert C. and H{\"a}usler, Alexander N. and Heindel, Walter and Ho, Beng-Choon and Hoffmann, Wolfgang U. and Holsboer, Florian and Homuth, Georg and Hosten, Norbert and Jack, Clifford R. and Jang, MiHyun and Jansen, Andreas and Kimbrel, Nathan A. and Kolsk{\r a}r, Knut and Koops, Sanne and Krug, Axel and Lim, Kelvin O. and Luykx, Jurjen J. and Mathalon, Daniel H. and Mather, Karen A. and Mattay, Venkata S. and Matthews, Sarah and Mayoral Van Son, Jaqueline and McEwen, Sarah C. and Melle, Ingrid and Morris, Derek W. and Mueller, Bryon A. and Nauck, Matthias and Nordvik, Jan E. and N{\"o}then, Markus M. and O{\textquoteright}Leary, Daniel S. and Opel, Nils and Martinot, Marie-Laure Paill{\`e}re and Pike, G. Bruce and Preda, Adrian and Quinlan, Erin B. and Rasser, Paul E. and Ratnakar, Varun and Reppermund, Simone and Steen, Vidar M. and Tooney, Paul A. and Torres, F{\'a}bio R. and Veltman, Dick J. and Voyvodic, James T. and Whelan, Robert and White, Tonya and Yamamori, Hidenaga and Adams, Hieab H. H. and Bis, Joshua C. and Debette, Stephanie and DeCarli, Charles and Fornage, Myriam and Gudnason, Vilmundur and Hofer, Edith and Ikram, M. Arfan and Launer, Lenore and Longstreth, W. T. and Lopez, Oscar L. and Mazoyer, Bernard and Mosley, Thomas H. and Roshchupkin, Gennady V. and Satizabal, Claudia L. and Schmidt, Reinhold and Seshadri, Sudha and Yang, Qiong and Alvim, Marina K. M. and Ames, David and Anderson, Tim J. and Andreassen, Ole A. and Arias-Vasquez, Alejandro and Bastin, Mark E. and Baune, Bernhard T. and Beckham, Jean C. and Blangero, John and Boomsma, Dorret I. and Brodaty, Henry and Brunner, Han G. and Buckner, Randy L. and Buitelaar, Jan K. and Bustillo, Juan R. and Cahn, Wiepke and Cairns, Murray J. and Calhoun, Vince and Carr, Vaughan J. and Caseras, Xavier and Caspers, Svenja and Cavalleri, Gianpiero L. and Cendes, Fernando and Corvin, Aiden and Crespo-Facorro, Benedicto and Dalrymple-Alford, John C. and Dannlowski, Udo and de Geus, Eco J. C. and Deary, Ian J. and Delanty, Norman and Depondt, Chantal and Desrivi{\`e}res, Sylvane and Donohoe, Gary and Espeseth, Thomas and Fern{\'a}ndez, Guill{\'e}n and Fisher, Simon E. and Flor, Herta and Forstner, Andreas J. and Francks, Clyde and Franke, Barbara and Glahn, David C. and Gollub, Randy L. and Grabe, Hans J. and Gruber, Oliver and H{\r a}berg, Asta K. and Hariri, Ahmad R. and Hartman, Catharina A. and Hashimoto, Ryota and Heinz, Andreas and Henskens, Frans A. and Hillegers, Manon H. J. and Hoekstra, Pieter J. and Holmes, Avram J. and Hong, L. Elliot and Hopkins, William D. and Hulshoff Pol, Hilleke E. and Jernigan, Terry L. and J{\"o}nsson, Erik G. and Kahn, Ren{\'e} S. and Kennedy, Martin A. and Kircher, Tilo T. J. and Kochunov, Peter and Kwok, John B. J. and Le Hellard, Stephanie and Loughland, Carmel M. and Martin, Nicholas G. and Martinot, Jean-Luc and McDonald, Colm and McMahon, Katie L. and Meyer-Lindenberg, Andreas and Michie, Patricia T. and Morey, Rajendra A. and Mowry, Bryan and Nyberg, Lars and Oosterlaan, Jaap and Ophoff, Roel A. and Pantelis, Christos and Paus, Tom{\'a}{\v s} and Pausova, Zdenka and Penninx, Brenda W. J. H. and Polderman, Tinca J. C. and Posthuma, Danielle and Rietschel, Marcella and Roffman, Joshua L. and Rowland, Laura M. and Sachdev, Perminder S. and S{\"a}mann, Philipp G. and Schall, Ulrich and Schumann, Gunter and Scott, Rodney J. and Sim, Kang and Sisodiya, Sanjay M. and Smoller, Jordan W. and Sommer, Iris E. and St Pourcain, Beate and Stein, Dan J. and Toga, Arthur W. and Trollor, Julian N. and Van der Wee, Nic J. A. and van {\textquoteright}t Ent, Dennis and V{\"o}lzke, Henry and Walter, Henrik and Weber, Bernd and Weinberger, Daniel R. and Wright, Margaret J. and Zhou, Juan and Stein, Jason L. and Thompson, Paul M. and Medland, Sarah E.} } @article {8484, title = {{Genetic correlations and genome-wide associations of cortical structure in general population samples of 22,824 adults}, journal = {Nat Commun}, volume = {11}, year = {2020}, month = {09}, pages = {4796}, abstract = {Cortical thickness, surface area and volumes vary with age and cognitive function, and in neurological and psychiatric diseases. Here we report heritability, genetic correlations and genome-wide associations of these cortical measures across the whole cortex, and in 34 anatomically predefined regions. Our discovery sample comprises 22,824 individuals from 20 cohorts within the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium and the UK Biobank. We identify genetic heterogeneity between cortical measures and brain regions, and 160 genome-wide significant associations pointing to wnt/{\^I}{\texttwosuperior}-catenin, TGF-{\^I}{\texttwosuperior} and sonic hedgehog pathways. There is enrichment for genes involved in anthropometric traits, hindbrain development, vascular and neurodegenerative disease and psychiatric conditions. These data are a rich resource for studies of the biological mechanisms behind cortical development and aging.}, author = {Hofer, E. and Roshchupkin, G. V. and Adams, H. H. H. and Knol, M. J. and Lin, H. and Li, S. and Zare, H. and Ahmad, S. and Armstrong, N. J. and Satizabal, C. L. and Bernard, M. and Bis, J. C. and Gillespie, N. A. and Luciano, M. and Mishra, A. and Scholz, M. and Teumer, A. and Xia, R. and Jian, X. and Mosley, T. H. and Saba, Y. and Pirpamer, L. and Seiler, S. and Becker, J. T. and Carmichael, O. and Rotter, J. I. and Psaty, B. M. and Lopez, O. L. and Amin, N. and van der Lee, S. J. and Yang, Q. and Himali, J. J. and Maillard, P. and Beiser, A. S. and DeCarli, C. and Karama, S. and Lewis, L. and Harris, M. and Bastin, M. E. and Deary, I. J. and Veronica Witte, A. and Beyer, F. and Loeffler, M. and Mather, K. A. and Schofield, P. R. and Thalamuthu, A. and Kwok, J. B. and Wright, M. J. and Ames, D. and Trollor, J. and Jiang, J. and Brodaty, H. and Wen, W. and Vernooij, M. W. and Hofman, A. and Uitterlinden, A. G. and Niessen, W. J. and Wittfeld, K. and B?low, R. and V?lker, U. and Pausova, Z. and Bruce Pike, G. and Maingault, S. and Crivello, F. and Tzourio, C. and Amouyel, P. and Mazoyer, B. and Neale, M. C. and Franz, C. E. and Lyons, M. J. and Panizzon, M. S. and Andreassen, O. A. and Dale, A. M. and Logue, M. and Grasby, K. L. and Jahanshad, N. and Painter, J. N. and Colodro-Conde, L. and Bralten, J. and Hibar, D. P. and Lind, P. A. and Pizzagalli, F. and Stein, J. L. and Thompson, P. M. and Medland, S. E. and Sachdev, P. S. and Kremen, W. S. and Wardlaw, J. M. and Villringer, A. and van Duijn, C. M. and Grabe, H. J. and Longstreth, W. T. and Fornage, M. and Paus, T. and Debette, S. and Arfan Ikram, M. and Schmidt, H. and Schmidt, R. and Seshadri, S. and Grasby, K. L. and Jahanshad, N. and Painter, J. N. and Colodro-Conde, L. and Bralten, J. and Hibar, D. P. and Lind, P. A. and Pizzagalli, F. and Ching, C. R. K. and McMahon, M. A. B. and Shatokhina, N. and Zsembik, L. C. P. and Agartz, I. and Alhusaini, S. and Almeida, M. A. A. and Aln?s, D. and Amlien, I. K. and Andersson, M. and Ard, T. and Armstrong, N. J. and Ashley-Koch, A. and Bernard, M. and Brouwer, R. M. and Buimer, E. E. L. and B?low, R. and B?rger, C. and Cannon, D. M. and Chakravarty, M. and Chen, Q. and Cheung, J. W. and Couvy-Duchesne, B. and Dale, A. M. and Dalvie, S. and de Araujo, T. K. and de Zubicaray, G. I. and de Zwarte, S. M. C. and den Braber, A. and Doan, N. T. and Dohm, K. and Ehrlich, S. and Engelbrecht, H. R. and Erk, S. and Fan, C. C. and Fedko, I. O. and Foley, S. F. and Ford, J. M. and Fukunaga, M. and Garrett, M. E. and Ge, T. and Giddaluru, S. and Goldman, A. L. and Groenewold, N. A. and Grotegerd, D. and Gurholt, T. P. and Gutman, B. A. and Hansell, N. K. and Harris, M. A. and Harrison, M. B. and Haswell, C. C. and Hauser, M. and Herms, S. and Heslenfeld, D. J. and Ho, N. F. and Hoehn, D. and Hoffmann, P. and Holleran, L. and Hoogman, M. and Hottenga, J. J. and Ikeda, M. and Janowitz, D. and Jansen, I. E. and Jia, T. and Jockwitz, C. and Kanai, R. and Karama, S. and Kasperaviciute, D. and Kaufmann, T. and Kelly, S. and Kikuchi, M. and Klein, M. and Knapp, M. and Knodt, A. R. and Kr?mer, B. and Lam, M. and Lancaster, T. M. and Lee, P. H. and Lett, T. A. and Lewis, L. B. and Lopes-Cendes, I. and Luciano, M. and Macciardi, F. and Marquand, A. F. and Mathias, S. R. and Melzer, T. R. and Milaneschi, Y. and Mirza-Schreiber, N. and Moreira, J. C. V. and M?hleisen, T. W. and M?ller-Myhsok, B. and Najt, P. and Nakahara, S. and Nho, K. and Olde Loohuis, L. M. and Orfanos, D. P. and Pearson, J. F. and Pitcher, T. L. and P?tz, B. and Ragothaman, A. and Rashid, F. M. and Redlich, R. and Reinbold, C. S. and Repple, J. and Richard, G. and Riedel, B. C. and Risacher, S. L. and Rocha, C. S. and Mota, N. R. and Salminen, L. and Saremi, A. and Saykin, A. J. and Schlag, F. and Schmaal, L. and Schofield, P. R. and Secolin, R. and Shapland, C. Y. and Shen, L. and Shin, J. and Shumskaya, E. and S?nderby, I. E. and Sprooten, E. and Strike, L. T. and Tansey, K. E. and Teumer, A. and Thalamuthu, A. and Thomopoulos, S. I. and Tordesillas-Guti?rrez, D. and Turner, J. A. and Uhlmann, A. and Vallerga, C. L. and van der Meer, D. and van Donkelaar, M. M. J. and van Eijk, L. and van Erp, T. G. M. and van Haren, N. E. M. and van Rooij, D. and van Tol, M. J. and Veldink, J. H. and Verhoef, E. and Walton, E. and Wang, M. and Wang, Y. and Wardlaw, J. M. and Wen, W. and Westlye, L. T. and Whelan, C. D. and Witt, S. H. and Wittfeld, K. and Wolf, C. and Wolfers, T. and Yasuda, C. L. and Zaremba, D. and Zhang, Z. and Zhu, A. H. and Zwiers, M. P. and Artiges, E. and Assareh, A. A. and Ayesa-Arriola, R. and Belger, A. and Brandt, C. L. and Brown, G. G. and Cichon, S. and Curran, J. E. and Davies, G. E. and Degenhardt, F. and Dietsche, B. and Djurovic, S. and Doherty, C. P. and Espiritu, R. and Garijo, D. and Gil, Y. and Gowland, P. A. and Green, R. C. and H?usler, A. N. and Heindel, W. and Ho, B. C. and Hoffmann, W. U. and Holsboer, F. and Homuth, G. and Hosten, N. and Jack, C. R. and Jang, M. and Jansen, A. and Kolsk?r, K. and Koops, S. and Krug, A. and Lim, K. O. and Luykx, J. J. and Mathalon, D. H. and Mather, K. A. and Mattay, V. S. and Matthews, S. and Son, J. M. V. and McEwen, S. C. and Melle, I. and Morris, D. W. and Mueller, B. A. and Nauck, M. and Nordvik, J. E. and N?then, M. M. and O{\textquoteright}Leary, D. S. and Opel, N. and Martinot, M. -P. and Pike, G. B. and Preda, A. and Quinlan, E. B. and Ratnakar, V. and Reppermund, S. and Steen, V. M. and Torres, F. R. and Veltman, D. J. and Voyvodic, J. T. and Whelan, R. and White, T. and Yamamori, H. and Alvim, M. K. M. and Ames, D. and Anderson, T. J. and Andreassen, O. A. and Arias-Vasquez, A. and Bastin, M. E. and Baune, B. T. and Blangero, J. and Boomsma, D. I. and Brodaty, H. and Brunner, H. G. and Buckner, R. L. and Buitelaar, J. K. and Bustillo, J. R. and Cahn, W. and Calhoun, V. and Caseras, X. and Caspers, S. and Cavalleri, G. L. and Cendes, F. and Corvin, A. and Crespo-Facorro, B. and Dalrymple-Alford, J. C. and Dannlowski, U. and de Geus, E. J. C. and Deary, I. J. and Delanty, N. and Depondt, C. and Desrivi?res, S. and Donohoe, G. and Espeseth, T. and Fern?ndez, G. and Fisher, S. E. and Flor, H. and Forstner, A. J. and Francks, C. and Franke, B. and Glahn, D. C. and Gollub, R. L. and Grabe, H. J. and Gruber, O. and H?berg, A. K. and Hariri, A. R. and Hartman, C. A. and Hashimoto, R. and Heinz, A. and Hillegers, M. H. J. and Hoekstra, P. J. and Holmes, A. J. and Hong, L. E. and Hopkins, W. D. and Hulshoff Pol, H. E. and Jernigan, T. L. and J?nsson, E. G. and Kahn, R. S. and Kennedy, M. A. and Kircher, T. T. J. and Kochunov, P. and Kwok, J. B. J. and Hellard, S. L. and Martin, N. G. and Martinot, J. - and McDonald, C. and McMahon, K. L. and Meyer-Lindenberg, A. and Morey, R. A. and Nyberg, L. and Oosterlaan, J. and Ophoff, R. A. and Paus, T. and Pausova, Z. and Penninx, B. W. J. H. and Polderman, T. J. C. and Posthuma, D. and Rietschel, M. and Roffman, J. L. and Rowland, L. M. and Sachdev, P. S. and S?mann, P. G. and Schumann, G. and Sim, K. and Sisodiya, S. M. and Smoller, J. W. and Sommer, I. E. and Pourcain, B. S. and Stein, D. J. and Toga, A. W. and Trollor, J. N. and Van der Wee, N. J. A. and van {\textquoteright}t Ent, D. and V?lzke, H. and Walter, H. and Weber, B. and Weinberger, D. R. and Wright, M. J. and Zhou, J. and Stein, J. L. and Thompson, P. M. and Medland, S. E.} } @article {8452, title = {{Genetic Determinants of Electrocardiographic P-wave Duration and Relation to Atrial Fibrillation}, journal = {Circ Genom Precis Med}, year = {2020}, month = {Aug}, abstract = {Background - The P-wave duration (PWD) is an electrocardiographic (ECG) measurement that represents cardiac conduction in the atria. Shortened or prolonged PWD is associated with atrial fibrillation (AF). We used exome chip data to examine the associations between common and rare variants with PWD. Methods - Fifteen studies comprising 64,440 individuals (56,943 European, 5,681 African, 1,186 Hispanic, 630 Asian), and 230,000 variants were used to examine associations with maximum PWD across the 12-lead ECG. Meta-analyses summarized association results for common variants; gene-based burden and SKAT tests examined low-frequency variant-PWD associations. Additionally, we examined the associations between PWD loci and AF using previous AF GWAS. Results - We identified 21 common and low-frequency genetic loci (14 novel) associated with maximum PWD, including several AF loci (TTN, CAND2, SCN10A, PITX2, CAV1, SYNPO2L, SOX5, TBX5, MYH6, RPL3L). The top variants at known sarcomere genes (TTN, MYH6) were associated with longer PWD and increased AF risk. However, top variants at other loci (e.g., PITX2 and SCN10A) were associated with longer PWD but lower AF risk. Conclusions - Our results highlight multiple novel genetic loci associated with PWD, and underscore the shared mechanisms of atrial conduction and AF. Prolonged PWD may be an endophenotype for several different genetic mechanisms of AF.}, author = {Weng, L. C. and Hall, A. W. and Choi, S. H. and Jurgens, S. J. and Haessler, J. and Bihlmeyer, N. A. and Grarup, N. and Lin, H. and Teumer, A. and Li-Gao, R. and Yao, J. and Guo, X. and Brody, J. A. and M?ller-Nurasyid, M. and Schramm, K. and Verweij, N. and van den Berg, M. E. and van Setten, J. and Isaacs, A. and Ram?rez, J. and Warren, H. R. and Padmanabhan, S. and Kors, J. A. and de Boer, R. A. and van der Meer, P. and Sinner, M. F. and Waldenberger, M. and Psaty, B. M. and Taylor, K. D. and V?lker, U. and Kanters, J. K. and Li, M. and Alonso, A. and Perez, M. V. and Vaartjes, I. and Bots, M. L. and Huang, P. L. and Heckbert, S. R. and Lin, H. J. and Kornej, J. and Munroe, P. B. and van Duijn, C. M. and Asselbergs, F. W. and Stricker, B. H. and van der Harst, P. and K??b, S. and Peters, A. and Sotoodehnia, N. and Rotter, J. I. and Mook-Kanamori, D. O. and D?rr, M. and Felix, S. B. and Linneberg, A. and Hansen, T. and Arking, D. E. and Kooperberg, C. and Benjamin, E. J. and Lunetta, K. L. and Ellinor, P. T. and Lubitz, S. A.} } @article {8625, title = {Genetic loci associated with prevalent and incident myocardial infarction and coronary heart disease in the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium.}, journal = {PLoS One}, volume = {15}, year = {2020}, month = {2020}, pages = {e0230035}, abstract = {

BACKGROUND: Genome-wide association studies have identified multiple genomic loci associated with coronary artery disease, but most are common variants in non-coding regions that provide limited information on causal genes and etiology of the disease. To overcome the limited scope that common variants provide, we focused our investigation on low-frequency and rare sequence variations primarily residing in coding regions of the genome.

METHODS AND RESULTS: Using samples of individuals of European ancestry from ten cohorts within the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium, both cross-sectional and prospective analyses were conducted to examine associations between genetic variants and myocardial infarction (MI), coronary heart disease (CHD), and all-cause mortality following these events. For prevalent events, a total of 27,349 participants of European ancestry, including 1831 prevalent MI cases and 2518 prevalent CHD cases were used. For incident cases, a total of 55,736 participants of European ancestry were included (3,031 incident MI cases and 5,425 incident CHD cases). There were 1,860 all-cause deaths among the 3,751 MI and CHD cases from six cohorts that contributed to the analysis of all-cause mortality. Single variant and gene-based analyses were performed separately in each cohort and then meta-analyzed for each outcome. A low-frequency intronic variant (rs988583) in PLCL1 was significantly associated with prevalent MI (OR = 1.80, 95\% confidence interval: 1.43, 2.27; P = 7.12 {\texttimes} 10-7). We conducted gene-based burden tests for genes with a cumulative minor allele count (cMAC) >= 5 and variants with minor allele frequency (MAF) < 5\%. TMPRSS5 and LDLRAD1 were significantly associated with prevalent MI and CHD, respectively, and RC3H2 and ANGPTL4 were significantly associated with incident MI and CHD, respectively. No loci were significantly associated with all-cause mortality following a MI or CHD event.

CONCLUSION: This study identified one known locus (ANGPTL4) and four new loci (PLCL1, RC3H2, TMPRSS5, and LDLRAD1) associated with cardiovascular disease risk that warrant further investigation.

}, keywords = {Aging, Coronary Artery Disease, Cross-Sectional Studies, Europe, European Continental Ancestry Group, Genetic Loci, Genome-Wide Association Study, Humans, Myocardial Infarction, Polymorphism, Single Nucleotide, Prospective Studies}, issn = {1932-6203}, doi = {10.1371/journal.pone.0230035}, author = {Hahn, Julie and Fu, Yi-Ping and Brown, Michael R and Bis, Joshua C and de Vries, Paul S and Feitosa, Mary F and Yanek, Lisa R and Weiss, Stefan and Giulianini, Franco and Smith, Albert Vernon and Guo, Xiuqing and Bartz, Traci M and Becker, Diane M and Becker, Lewis C and Boerwinkle, Eric and Brody, Jennifer A and Chen, Yii-Der Ida and Franco, Oscar H and Grove, Megan and Harris, Tamara B and Hofman, Albert and Hwang, Shih-Jen and Kral, Brian G and Launer, Lenore J and Markus, Marcello R P and Rice, Kenneth M and Rich, Stephen S and Ridker, Paul M and Rivadeneira, Fernando and Rotter, Jerome I and Sotoodehnia, Nona and Taylor, Kent D and Uitterlinden, Andr{\'e} G and V{\"o}lker, Uwe and V{\"o}lzke, Henry and Yao, Jie and Chasman, Daniel I and D{\"o}rr, Marcus and Gudnason, Vilmundur and Mathias, Rasika A and Post, Wendy and Psaty, Bruce M and Dehghan, Abbas and O{\textquoteright}Donnell, Christopher J and Morrison, Alanna C} } @article {8491, title = {Genetic Studies of Leptin Concentrations Implicate Leptin in the Regulation of Early Adiposity.}, journal = {Diabetes}, year = {2020}, month = {2020 Sep 11}, abstract = {

Leptin influences food intake by informing the brain about the status of body fat stores. Rare mutations associated with congenital leptin deficiency cause severe early-onset obesity that can be mitigated by administering leptin. However, the role of genetic regulation of leptin in polygenic obesity remains poorly understood. We performed an exome-based analysis in up to 57,232 individuals of diverse ancestries to identify genetic variants that influence adiposity-adjusted leptin concentrations. We identify five novel variants, including four missense variants, in , and , and one intergenic variant near The missense variant Val94Met (rs17151919) in was common in individuals of African ancestry only and its association with lower leptin concentrations was specific to this ancestry (P=2x10, n=3,901). Using analyses, we show that the Met94 allele decreases leptin secretion. We also show that the Met94 allele is associated with higher BMI in young African-ancestry children but not in adults, suggesting leptin regulates early adiposity.

}, issn = {1939-327X}, doi = {10.2337/db20-0070}, author = {Yaghootkar, Hanieh and Zhang, Yiying and Spracklen, Cassandra N and Karaderi, Tugce and Huang, Lam Opal and Bradfield, Jonathan and Schurmann, Claudia and Fine, Rebecca S and Preuss, Michael H and Kutalik, Zolt{\'a}n and Wittemans, Laura Bl and Lu, Yingchang and Metz, Sophia and Willems, Sara M and Li-Gao, Ruifang and Grarup, Niels and Wang, Shuai and Molnos, Sophie and Sandoval-Z{\'a}rate, Am{\'e}rica A and Nalls, Mike A and Lange, Leslie A and Haesser, Jeffrey and Guo, Xiuqing and Lyytik{\"a}inen, Leo-Pekka and Feitosa, Mary F and Sitlani, Colleen M and Venturini, Cristina and Mahajan, Anubha and Kacprowski, Tim and Wang, Carol A and Chasman, Daniel I and Amin, Najaf and Broer, Linda and Robertson, Neil and Young, Kristin L and Allison, Matthew and Auer, Paul L and Bl{\"u}her, Matthias and Borja, Judith B and Bork-Jensen, Jette and Carrasquilla, Germ{\'a}n D and Christofidou, Paraskevi and Demirkan, Ayse and Doege, Claudia A and Garcia, Melissa E and Graff, Mariaelisa and Guo, Kaiying and Hakonarson, Hakon and Hong, Jaeyoung and Ida Chen, Yii-Der and Jackson, Rebecca and Jakupovi{\'c}, Hermina and Jousilahti, Pekka and Justice, Anne E and K{\"a}h{\"o}nen, Mika and Kizer, Jorge R and Kriebel, Jennifer and LeDuc, Charles A and Li, Jin and Lind, Lars and Luan, Jian{\textquoteright}an and Mackey, David and Mangino, Massimo and M{\"a}nnist{\"o}, Satu and Martin Carli, Jayne F and Medina-G{\'o}mez, Carolina and Mook-Kanamori, Dennis O and Morris, Andrew P and de Mutsert, Ren{\'e}e and Nauck, Matthias and Nedeljkovic, Ivana and Pennell, Craig E and Pradhan, Arund D and Psaty, Bruce M and Raitakari, Olli T and Scott, Robert A and Skaaby, Tea and Strauch, Konstantin and Taylor, Kent D and Teumer, Alexander and Uitterlinden, Andr{\'e} G and Wu, Ying and Yao, Jie and Walker, Mark and North, Kari E and Kovacs, Peter and Ikram, M Arfan and van Duijn, Cornelia M and Ridker, Paul M and Lye, Stephen and Homuth, Georg and Ingelsson, Erik and Spector, Tim D and McKnight, Barbara and Province, Michael A and Lehtim{\"a}ki, Terho and Adair, Linda S and Rotter, Jerome I and Reiner, Alexander P and Wilson, James G and Harris, Tamara B and Ripatti, Samuli and Grallert, Harald and Meigs, James B and Salomaa, Veikko and Hansen, Torben and Willems van Dijk, Ko and Wareham, Nicholas J and Grant, Struan Fa and Langenberg, Claudia and Frayling, Timothy M and Lindgren, Cecilia M and Mohlke, Karen L and Leibel, Rudolph L and Loos, Ruth Jf and Kilpel{\"a}inen, Tuomas O} } @article {8289, title = {{Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure}, journal = {Nat Commun}, volume = {11}, year = {2020}, month = {01}, pages = {163}, abstract = {Heart failure (HF) is a leading cause of morbidity and mortality worldwide. A small proportion of HF cases are attributable to monogenic cardiomyopathies and existing genome-wide association studies (GWAS) have yielded only limited insights, leaving the observed heritability of HF largely unexplained. We report results from a GWAS meta-analysis of HF comprising 47,309 cases and 930,014 controls. Twelve independent variants at 11 genomic loci are associated with HF, all of which demonstrate one or more associations with coronary artery disease (CAD), atrial fibrillation, or reduced left ventricular function, suggesting shared genetic aetiology. Functional analysis of non-CAD-associated loci implicate genes involved in cardiac development (MYOZ1, SYNPO2L), protein homoeostasis (BAG3), and cellular senescence (CDKN1A). Mendelian randomisation analysis supports causal roles for several HF risk factors, and demonstrates CAD-independent effects for atrial fibrillation, body mass index, and hypertension. These findings extend our knowledge of the pathways underlying HF and may inform new therapeutic strategies.}, author = {Shah, S. and Henry, A. and Roselli, C. and Lin, H. and Sveinbj?rnsson, G. and Fatemifar, G. and Hedman, ?. K. and Wilk, J. B. and Morley, M. P. and Chaffin, M. D. and Helgadottir, A. and Verweij, N. and Dehghan, A. and Almgren, P. and Andersson, C. and Aragam, K. G. and ?rnl?v, J. and Backman, J. D. and Biggs, M. L. and Bloom, H. L. and Brandimarto, J. and Brown, M. R. and Buckbinder, L. and Carey, D. J. and Chasman, D. I. and Chen, X. and Chen, X. and Chung, J. and Chutkow, W. and Cook, J. P. and Delgado, G. E. and Denaxas, S. and Doney, A. S. and D?rr, M. and Dudley, S. C. and Dunn, M. E. and Engstr?m, G. and Esko, T. and Felix, S. B. and Finan, C. and Ford, I. and Ghanbari, M. and Ghasemi, S. and Giedraitis, V. and Giulianini, F. and Gottdiener, J. S. and Gross, S. and Gu?bjartsson, D. F. and Gutmann, R. and Haggerty, C. M. and van der Harst, P. and Hyde, C. L. and Ingelsson, E. and Jukema, J. W. and Kavousi, M. and Khaw, K. T. and Kleber, M. E. and K?ber, L. and Koekemoer, A. and Langenberg, C. and Lind, L. and Lindgren, C. M. and London, B. and Lotta, L. A. and Lovering, R. C. and Luan, J. and Magnusson, P. and Mahajan, A. and Margulies, K. B. and M?rz, W. and Melander, O. and Mordi, I. R. and Morgan, T. and Morris, A. D. and Morris, A. P. and Morrison, A. C. and Nagle, M. W. and Nelson, C. P. and Niessner, A. and Niiranen, T. and O{\textquoteright}Donoghue, M. L. and Owens, A. T. and Palmer, C. N. A. and Parry, H. M. and Perola, M. and Portilla-Fernandez, E. and Psaty, B. M. and Rice, K. M. and Ridker, P. M. and Romaine, S. P. R. and Rotter, J. I. and Salo, P. and Salomaa, V. and van Setten, J. and Shalaby, A. A. and Smelser, D. T. and Smith, N. L. and Stender, S. and Stott, D. J. and Svensson, P. and Tammesoo, M. L. and Taylor, K. D. and Teder-Laving, M. and Teumer, A. and Thorgeirsson, G. and Thorsteinsdottir, U. and Torp-Pedersen, C. and Trompet, S. and Tyl, B. and Uitterlinden, A. G. and Veluchamy, A. and V?lker, U. and Voors, A. A. and Wang, X. and Wareham, N. J. and Waterworth, D. and Weeke, P. E. and Weiss, R. and Wiggins, K. L. and Xing, H. and Yerges-Armstrong, L. M. and Yu, B. and Zannad, F. and Zhao, J. H. and Hemingway, H. and Samani, N. J. and McMurray, J. J. V. and Yang, J. and Visscher, P. M. and Newton-Cheh, C. and Malarstig, A. and Holm, H. and Lubitz, S. A. and Sattar, N. and Holmes, M. V. and Cappola, T. P. and Asselbergs, F. W. and Hingorani, A. D. and Kuchenbaecker, K. and Ellinor, P. T. and Lang, C. C. and Stefansson, K. and Smith, J. G. and Vasan, R. S. and Swerdlow, D. I. and Lumbers, R. T. and Abecasis, G. and Backman, J. and Bai, X. and Balasubramanian, S. and Banerjee, N. and Baras, A. and Barnard, L. and Beechert, C. and Blumenfeld, A. and Cantor, M. and Chai, Y. and Chung, J. and Coppola, G. and Damask, A. and Dewey, F. and Economides, A. and Eom, G. and Forsythe, C. and Fuller, E. D. and Gu, Z. and Gurski, L. and Guzzardo, P. M. and Habegger, L. and Hahn, Y. and Hawes, A. and van Hout, C. and Jones, M. B. and Khalid, S. and Lattari, M. and Li, A. and Lin, N. and Liu, D. and Lopez, A. and Manoochehri, K. and Marchini, J. and Marcketta, A. and Maxwell, E. K. and McCarthy, S. and Mitnaul, L. J. and O{\textquoteright}Dushlaine, C. and Overton, J. D. and Padilla, M. S. and Paulding, C. and Penn, J. and Pradhan, M. and Reid, J. G. and Schleicher, T. D. and Schurmann, C. and Shuldiner, A. and Staples, J. C. and Sun, D. and Toledo, K. and Ulloa, R. H. and Widom, L. and Wolf, S. E. and Yadav, A. and Ye, B.} } @article {8454, title = {{Genome-Wide Association Study Meta-Analysis of Stroke in 22 000 Individuals of African Descent Identifies Novel Associations With Stroke}, journal = {Stroke}, volume = {51}, year = {2020}, month = {Aug}, pages = {2454{\textendash}2463}, abstract = {Stroke is a complex disease with multiple genetic and environmental risk factors. Blacks endure a nearly 2-fold greater risk of stroke and are 2{\~A}{\textemdash} to 3{\~A}{\textemdash} more likely to die from stroke than European Americans.\ The COMPASS (Consortium of Minority Population Genome-Wide Association Studies of Stroke) has conducted a genome-wide association meta-analysis of stroke in >22 000 individuals of African ancestry (3734 cases, 18 317 controls) from 13 cohorts.\ In meta-analyses, we identified one single nucleotide polymorphism (rs55931441) near the HNF1A gene that reached genome-wide significance (P=4.62{\~A}{\textemdash}10-8) and an additional 29 variants with suggestive evidence of association (P<1{\~A}{\textemdash}10-6), representing 24 unique loci. For validation, a look-up analysis for a 100 kb region flanking the COMPASS single nucleotide polymorphism was performed in SiGN (Stroke Genetics Network) Europeans, SiGN Hispanics, and METASTROKE (Europeans). Using a stringent Bonferroni correction P value of 2.08{\~A}{\textemdash}10-3 (0.05/24 unique loci), we were able to validate associations at the HNF1A locus in both SiGN (P=8.18{\~A}{\textemdash}10-4) and METASTROKE (P=1.72{\~A}{\textemdash}10-3) European populations. Overall, 16 of 24 loci showed evidence for validation across multiple populations. Previous studies have reported associations between variants in the HNF1A gene and lipids, C-reactive protein, and risk of coronary artery disease and stroke. Suggestive associations with variants in the SFXN4 and TMEM108 genes represent potential novel ischemic stroke loci.\ These findings represent the most thorough investigation of genetic determinants of stroke in individuals of African descent, to date.}, author = {Keene, K. L. and Hyacinth, H. I. and Bis, J. C. and Kittner, S. J. and Mitchell, B. D. and Cheng, Y. C. and Pare, G. and Chong, M. and O{\textquoteright}Donnell, M. and Meschia, J. F. and Chen, W. M. and Sale, M. M. and Rich, S. S. and Nalls, M. A. and Zonderman, A. B. and Evans, M. K. and Wilson, J. G. and Correa, A. and Markus, H. S. and Traylor, M. and Lewis, C. M. and Carty, C. L. and Reiner, A. and Haessler, J. and Langefeld, C. D. and Gottesman, R. and Mosley, T. H. and Woo, D. and Yaffe, K. and Liu, Y. and Longstreth, W. T. and Psaty, B. M. and Kooperberg, C. and Lange, L. A. and Sacco, R. and Rundek, T. and Lee, J. M. and Cruchaga, C. and Furie, K. L. and Arnett, D. K. and Benavente, O. R. and Grewal, R. P. and Peddareddygari, L. R. and Dichgans, M. and Malik, R. and Worrall, B. B. and Fornage, M.} } @article {8835, title = {Genetic insights into biological mechanisms governing human ovarian ageing.}, journal = {Nature}, volume = {596}, year = {2021}, month = {2021 Aug}, pages = {393-397}, abstract = {

Reproductive longevity is essential for fertility and influences healthy ageing in women, but insights into its underlying biological mechanisms and treatments to preserve it are limited. Here we identify 290 genetic determinants of ovarian ageing, assessed using normal variation in age at natural menopause (ANM) in about 200,000 women of European ancestry. These common alleles were associated with clinical extremes of ANM; women in the top 1\% of genetic susceptibility have an equivalent risk of premature ovarian insufficiency to those carrying monogenic FMR1 premutations. The identified loci implicate a broad range of DNA damage response (DDR) processes and include loss-of-function variants in key DDR-associated genes. Integration with experimental models demonstrates that these DDR processes act across the life-course to shape the ovarian reserve and its rate of depletion. Furthermore, we demonstrate that experimental manipulation of DDR pathways highlighted by human genetics increases fertility and extends reproductive life in mice. Causal inference analyses using the identified genetic variants indicate that extending reproductive life in women improves bone health and reduces risk of type 2 diabetes, but increases the risk of hormone-sensitive cancers. These findings provide insight into the mechanisms that govern ovarian ageing, when they act, and how they might be targeted by therapeutic approaches to extend fertility and prevent disease.

}, issn = {1476-4687}, doi = {10.1038/s41586-021-03779-7}, author = {Ruth, Katherine S and Day, Felix R and Hussain, Jazib and Mart{\'\i}nez-Marchal, Ana and Aiken, Catherine E and Azad, Ajuna and Thompson, Deborah J and Knoblochova, Lucie and Abe, Hironori and Tarry-Adkins, Jane L and Gonzalez, Javier Martin and Fontanillas, Pierre and Claringbould, Annique and Bakker, Olivier B and Sulem, Patrick and Walters, Robin G and Terao, Chikashi and Turon, Sandra and Horikoshi, Momoko and Lin, Kuang and Onland-Moret, N Charlotte and Sankar, Aditya and Hertz, Emil Peter Thrane and Timshel, Pascal N and Shukla, Vallari and Borup, Rehannah and Olsen, Kristina W and Aguilera, Paula and Ferrer-Roda, M{\`o}nica and Huang, Yan and Stankovic, Stasa and Timmers, Paul R H J and Ahearn, Thomas U and Alizadeh, Behrooz Z and Naderi, Elnaz and Andrulis, Irene L and Arnold, Alice M and Aronson, Kristan J and Augustinsson, Annelie and Bandinelli, Stefania and Barbieri, Caterina M and Beaumont, Robin N and Becher, Heiko and Beckmann, Matthias W and Benonisdottir, Stefania and Bergmann, Sven and Bochud, Murielle and Boerwinkle, Eric and Bojesen, Stig E and Bolla, Manjeet K and Boomsma, Dorret I and Bowker, Nicholas and Brody, Jennifer A and Broer, Linda and Buring, Julie E and Campbell, Archie and Campbell, Harry and Castelao, Jose E and Catamo, Eulalia and Chanock, Stephen J and Chenevix-Trench, Georgia and Ciullo, Marina and Corre, Tanguy and Couch, Fergus J and Cox, Angela and Crisponi, Laura and Cross, Simon S and Cucca, Francesco and Czene, Kamila and Smith, George Davey and de Geus, Eco J C N and de Mutsert, Ren{\'e}e and De Vivo, Immaculata and Demerath, Ellen W and Dennis, Joe and Dunning, Alison M and Dwek, Miriam and Eriksson, Mikael and Esko, T{\~o}nu and Fasching, Peter A and Faul, Jessica D and Ferrucci, Luigi and Franceschini, Nora and Frayling, Timothy M and Gago-Dominguez, Manuela and Mezzavilla, Massimo and Garc{\'\i}a-Closas, Montserrat and Gieger, Christian and Giles, Graham G and Grallert, Harald and Gudbjartsson, Daniel F and Gudnason, Vilmundur and Gu{\'e}nel, Pascal and Haiman, Christopher A and H{\r a}kansson, Niclas and Hall, Per and Hayward, Caroline and He, Chunyan and He, Wei and Heiss, Gerardo and H{\o}ffding, Miya K and Hopper, John L and Hottenga, Jouke J and Hu, Frank and Hunter, David and Ikram, Mohammad A and Jackson, Rebecca D and Joaquim, Micaella D R and John, Esther M and Joshi, Peter K and Karasik, David and Kardia, Sharon L R and Kartsonaki, Christiana and Karlsson, Robert and Kitahara, Cari M and Kolcic, Ivana and Kooperberg, Charles and Kraft, Peter and Kurian, Allison W and Kutalik, Zolt{\'a}n and La Bianca, Martina and Lachance, Genevieve and Langenberg, Claudia and Launer, Lenore J and Laven, Joop S E and Lawlor, Deborah A and Le Marchand, Lo{\"\i}c and Li, Jingmei and Lindblom, Annika and Lindstr{\"o}m, Sara and Lindstrom, Tricia and Linet, Martha and Liu, Yongmei and Liu, Simin and Luan, Jian{\textquoteright}an and M{\"a}gi, Reedik and Magnusson, Patrik K E and Mangino, Massimo and Mannermaa, Arto and Marco, Brumat and Marten, Jonathan and Martin, Nicholas G and Mbarek, Hamdi and McKnight, Barbara and Medland, Sarah E and Meisinger, Christa and Meitinger, Thomas and Menni, Cristina and Metspalu, Andres and Milani, Lili and Milne, Roger L and Montgomery, Grant W and Mook-Kanamori, Dennis O and Mulas, Antonella and Mulligan, Anna M and Murray, Alison and Nalls, Mike A and Newman, Anne and Noordam, Raymond and Nutile, Teresa and Nyholt, Dale R and Olshan, Andrew F and Olsson, H{\r a}kan and Painter, Jodie N and Patel, Alpa V and Pedersen, Nancy L and Perjakova, Natalia and Peters, Annette and Peters, Ulrike and Pharoah, Paul D P and Polasek, Ozren and Porcu, Eleonora and Psaty, Bruce M and Rahman, Iffat and Rennert, Gad and Rennert, Hedy S and Ridker, Paul M and Ring, Susan M and Robino, Antonietta and Rose, Lynda M and Rosendaal, Frits R and Rossouw, Jacques and Rudan, Igor and Rueedi, Rico and Ruggiero, Daniela and Sala, Cinzia F and Saloustros, Emmanouil and Sandler, Dale P and Sanna, Serena and Sawyer, Elinor J and Sarnowski, Chloe and Schlessinger, David and Schmidt, Marjanka K and Schoemaker, Minouk J and Schraut, Katharina E and Scott, Christopher and Shekari, Saleh and Shrikhande, Amruta and Smith, Albert V and Smith, Blair H and Smith, Jennifer A and Sorice, Rossella and Southey, Melissa C and Spector, Tim D and Spinelli, John J and Stampfer, Meir and St{\"o}ckl, Doris and van Meurs, Joyce B J and Strauch, Konstantin and Styrkarsdottir, Unnur and Swerdlow, Anthony J and Tanaka, Toshiko and Teras, Lauren R and Teumer, Alexander and {\TH}orsteinsdottir, Unnur and Timpson, Nicholas J and Toniolo, Daniela and Traglia, Michela and Troester, Melissa A and Truong, Th{\'e}r{\`e}se and Tyrrell, Jessica and Uitterlinden, Andr{\'e} G and Ulivi, Sheila and Vachon, Celine M and Vitart, Veronique and V{\"o}lker, Uwe and Vollenweider, Peter and V{\"o}lzke, Henry and Wang, Qin and Wareham, Nicholas J and Weinberg, Clarice R and Weir, David R and Wilcox, Amber N and van Dijk, Ko Willems and Willemsen, Gonneke and Wilson, James F and Wolffenbuttel, Bruce H R and Wolk, Alicja and Wood, Andrew R and Zhao, Wei and Zygmunt, Marek and Chen, Zhengming and Li, Liming and Franke, Lude and Burgess, Stephen and Deelen, Patrick and Pers, Tune H and Gr{\o}ndahl, Marie Louise and Andersen, Claus Yding and Pujol, Anna and Lopez-Contreras, Andres J and Daniel, Jeremy A and Stefansson, Kari and Chang-Claude, Jenny and van der Schouw, Yvonne T and Lunetta, Kathryn L and Chasman, Daniel I and Easton, Douglas F and Visser, Jenny A and Ozanne, Susan E and Namekawa, Satoshi H and Solc, Petr and Murabito, Joanne M and Ong, Ken K and Hoffmann, Eva R and Murray, Anna and Roig, Ignasi and Perry, John R B} } @article {8657, title = {{Genome-Wide Association Study of Circulating Interleukin 6 Levels Identifies Novel Loci}, journal = {Hum Mol Genet}, year = {2021}, month = {Jan}, abstract = {Interleukin-6 (IL-6) is a multifunctional cytokine with both pro- and anti-inflammatory properties with a heritability estimate of up to 61\%. The circulating levels of IL-6 in blood have been associated with an increased risk of complex disease pathogenesis. We conducted a two-staged, discovery, and replication meta genome-wide association study (GWAS) of circulating serum IL-6 levels comprising up to 67 428 (ndiscovery = 52 654 and nreplication = 14 774) individuals of European ancestry. The inverse variance fixed-effects based discovery meta-analysis, followed by replication led to the identification of two independent loci, IL1F10/IL1RN rs6734238 on Chromosome (Chr) 2q14, (pcombined = 1.8 {\texttimes} 10-11), HLA-DRB1/DRB5 rs660895 on Chr6p21 (pcombined = 1.5 {\texttimes} 10-10) in the combined meta-analyses of all samples. We also replicated the IL6R rs4537545 locus on Chr1q21 (pcombined = 1.2 {\texttimes} 10-122). Our study identifies novel loci for circulating IL-6 levels uncovering new immunological and inflammatory pathways that may influence IL-6 pathobiology.}, author = {Ahluwalia, T. S. and Prins, B. P. and Abdollahi, M. and Armstrong, N. J. and Aslibekyan, S. and Bain, L. and Jefferis, B. and Baumert, J. and Beekman, M. and Ben-Shlomo, Y. and Bis, J. C. and Mitchell, B. D. and de Geus, E. and Delgado, G. E. and Marek, D. and Eriksson, J. and Kajantie, E. and Kanoni, S. and Kemp, J. P. and Lu, C. and Marioni, R. E. and McLachlan, S. and Milaneschi, Y. and Nolte, I. M. and Petrelis, A. M. and Porcu, E. and Sabater-Lleal, M. and Naderi, E. and Sepp{\"a}l{\"a}, I. and Shah, T. and Singhal, G. and Standl, M. and Teumer, A. and Thalamuthu, A. and Thiering, E. and Trompet, S. and Ballantyne, C. M. and Benjamin, E. J. and Casas, J. P. and Toben, C. and Dedoussis, G. and Deelen, J. and Durda, P. and Engmann, J. and Feitosa, M. F. and Grallert, H. and Hammarstedt, A. and Harris, S. E. and Homuth, G. and Hottenga, J. J. and Jalkanen, S. and Jamshidi, Y. and Jawahar, M. C. and Jess, T. and Kivimaki, M. and Kleber, M. E. and Lahti, J. and Liu, Y. and Marques-Vidal, P. and Mellstr{\"o}m, D. and Mooijaart, S. P. and M{\"u}ller-Nurasyid, M. and Penninx, B. and Revez, J. A. and Rossing, P. and R{\"a}ikk{\"o}nen, K. and Sattar, N. and Scharnagl, H. and Sennblad, B. and Silveira, A. and Pourcain, B. S. and Timpson, N. J. and Trollor, J. and van Dongen, J. and van Heemst, D. and Visvikis-Siest, S. and Vollenweider, P. and V{\"o}lker, U. and Waldenberger, M. and Willemsen, G. and Zabaneh, D. and Morris, R. W. and Arnett, D. K. and Baune, B. T. and Boomsma, D. I. and Chang, Y. C. and Deary, I. J. and Deloukas, P. and Eriksson, J. G. and Evans, D. M. and Ferreira, M. A. and Gaunt, T. and Gudnason, V. and Hamsten, A. and Heinrich, J. and Hingorani, A. and Humphries, S. E. and Jukema, J. W. and Koeing, W. and Kumari, M. and Kutalik, Z. and Lawlor, D. A. and Lehtim{\"a}ki, T. and M{\"a}rz, W. and Mather, K. and Naitza, S. and Nauck, M. and Ohlsson, C. and Price, J. F. and Raitakari, O. and Rice, K. and Sachdev, P. S. and Slagboom, E. and S{\o}rensen, T. I. A. and Spector, T. and Stacey, D. and Stathopoulou, M. G. and Tanaka, T. and Wannamethee, S. G. and Whincup, P. and Rotter, J. I. and Dehghan, A. and Boerwinkle, E. and Psaty, B. M. and Snieder, H. and Alizadeh, B. Z.} } @article {8660, title = {{Genome-wide meta-analysis of muscle weakness identifies 15 susceptibility loci in older men and women}, journal = {Nat Commun}, volume = {12}, year = {2021}, month = {01}, pages = {654}, abstract = {Low muscle strength is an important heritable indicator of poor health linked to morbidity and mortality in older people. In a genome-wide association study meta-analysis of 256,523 Europeans aged 60 years and over from 22 cohorts we identify 15 loci associated with muscle weakness (European Working Group on Sarcopenia in Older People definition: n = 48,596 cases, 18.9\% of total), including 12 loci not implicated in previous analyses of continuous measures of grip strength. Loci include genes reportedly involved in autoimmune disease (HLA-DQA1 p = 4 {\texttimes} 10-17), arthritis (GDF5 p = 4 {\texttimes} 10-13), cell cycle control and cancer protection, regulation of transcription, and others involved in the development and maintenance of the musculoskeletal system. Using Mendelian randomization we report possible overlapping causal pathways, including diabetes susceptibility, haematological parameters, and the immune system. We conclude that muscle weakness in older adults has distinct mechanisms from continuous strength, including several pathways considered to be hallmarks of ageing.}, author = {Jones, G. and Trajanoska, K. and Santanasto, A. J. and Stringa, N. and Kuo, C. L. and Atkins, J. L. and Lewis, J. R. and Duong, T. and Hong, S. and Biggs, M. L. and Luan, J. and Sarnowski, C. and Lunetta, K. L. and Tanaka, T. and Wojczynski, M. K. and Cvejkus, R. and Nethander, M. and Ghasemi, S. and Yang, J. and Zillikens, M. C. and Walter, S. and Sicinski, K. and Kague, E. and Ackert-Bicknell, C. L. and Arking, D. E. and Windham, B. G. and Boerwinkle, E. and Grove, M. L. and Graff, M. and Spira, D. and Demuth, I. and Van der Velde, N. and de Groot, L. C. P. G. M. and Psaty, B. M. and Odden, M. C. and Fohner, A. E. and Langenberg, C. and Wareham, N. J. and Bandinelli, S. and van Schoor, N. M. and Huisman, M. and Tan, Q. and Zmuda, J. and Mellstr{\"o}m, D. and Karlsson, M. and Bennett, D. A. and Buchman, A. S. and De Jager, P. L. and Uitterlinden, A. G. and V{\"o}lker, U. and Kocher, T. and Teumer, A. and Rodrigu{\'e}z-Ma{\~n}as, L. and Garc{\'\i}a, F. J. and Carnicero, J. A. and Herd, P. and Bertram, L. and Ohlsson, C. and Murabito, J. M. and Melzer, D. and Kuchel, G. A. and Ferrucci, L. and Karasik, D. and Rivadeneira, F. and Kiel, D. P. and Pilling, L. C.} } @article {8925, title = {{The genomics of heart failure: design and rationale of the HERMES consortium}, journal = {ESC Heart Fail}, year = {2021}, month = {Sep}, abstract = {The HERMES (HEart failure Molecular Epidemiology for Therapeutic targetS) consortium aims to identify the genomic and molecular basis of heart failure.\ under an additive genetic model.\ HERMES is a global collaboration aiming to (i) identify the genetic determinants of heart failure; (ii) generate insights into the causal pathways leading to heart failure and enable genetic approaches to target prioritization; and (iii) develop genomic tools for disease stratification and risk prediction.}, author = {Lumbers, R. T. and Shah, S. and Lin, H. and Czuba, T. and Henry, A. and Swerdlow, D. I. and Malarstig, A. and Andersson, C. and Verweij, N. and Holmes, M. V. and {\"A}rnl{\"o}v, J. and Svensson, P. and Hemingway, H. and Sallah, N. and Almgren, P. and Aragam, K. G. and Asselin, G. and Backman, J. D. and Biggs, M. L. and Bloom, H. L. and Boersma, E. and Brandimarto, J. and Brown, M. R. and Brunner-La Rocca, H. P. and Carey, D. J. and Chaffin, M. D. and Chasman, D. I. and Chazara, O. and Chen, X. and Chen, X. and Chung, J. H. and Chutkow, W. and Cleland, J. G. F. and Cook, J. P. and de Denus, S. and Dehghan, A. and Delgado, G. E. and Denaxas, S. and Doney, A. S. and D{\"o}rr, M. and Dudley, S. C. and Engstr{\"o}m, G. and Esko, T. and Fatemifar, G. and Felix, S. B. and Finan, C. and Ford, I. and Fougerousse, F. and Fouodjio, R. and Ghanbari, M. and Ghasemi, S. and Giedraitis, V. and Giulianini, F. and Gottdiener, J. S. and Gross, S. and Gu{\dh}bjartsson, D. F. and Gui, H. and Gutmann, R. and Haggerty, C. M. and van der Harst, P. and Hedman, {\r A}. K. and Helgadottir, A. and Hillege, H. and Hyde, C. L. and Jacob, J. and Jukema, J. W. and Kamanu, F. and Kardys, I. and Kavousi, M. and Khaw, K. T. and Kleber, M. E. and K{\o}ber, L. and Koekemoer, A. and Kraus, B. and Kuchenbaecker, K. and Langenberg, C. and Lind, L. and Lindgren, C. M. and London, B. and Lotta, L. A. and Lovering, R. C. and Luan, J. and Magnusson, P. and Mahajan, A. and Mann, D. and Margulies, K. B. and Marston, N. A. and M{\"a}rz, W. and McMurray, J. J. V. and Melander, O. and Melloni, G. and Mordi, I. R. and Morley, M. P. and Morris, A. D. and Morris, A. P. and Morrison, A. C. and Nagle, M. W. and Nelson, C. P. and Newton-Cheh, C. and Niessner, A. and Niiranen, T. and Nowak, C. and O{\textquoteright}Donoghue, M. L. and Owens, A. T. and Palmer, C. N. A. and Pare, G. and Perola, M. and Perreault, L. L. and Portilla-Fernandez, E. and Psaty, B. M. and Rice, K. M. and Ridker, P. M. and Romaine, S. P. R. and Roselli, C. and Rotter, J. I. and Ruff, C. T. and Sabatine, M. S. and Salo, P. and Salomaa, V. and van Setten, J. and Shalaby, A. A. and Smelser, D. T. and Smith, N. L. and Stefansson, K. and Stender, S. and Stott, D. J. and Sveinbjornsson, G. and Tammesoo, M. L. and Tardif, J. C. and Taylor, K. D. and Teder-Laving, M. and Teumer, A. and Thorgeirsson, G. and Thorsteinsdottir, U. and Torp-Pedersen, C. and Trompet, S. and Tuckwell, D. and Tyl, B. and Uitterlinden, A. G. and Vaura, F. and Veluchamy, A. and Visscher, P. M. and V{\"o}lker, U. and Voors, A. A. and Wang, X. and Wareham, N. J. and Weeke, P. E. and Weiss, R. and White, H. D. and Wiggins, K. L. and Xing, H. and Yang, J. and Yang, Y. and Yerges-Armstrong, L. M. and Yu, B. and Zannad, F. and Zhao, F. and Wilk, J. B. and Holm, H. and Sattar, N. and Lubitz, S. A. and Lanfear, D. E. and Shah, S. and Dunn, M. E. and Wells, Q. S. and Asselbergs, F. W. and Hingorani, A. D. and Dub{\'e}, M. P. and Samani, N. J. and Lang, C. C. and Cappola, T. P. and Ellinor, P. T. and Vasan, R. S. and Smith, J. G.} } @article {8979, title = {{Gene Set Enrichment Analsyes Identify Pathways Involved in Genetic Risk for Diabetic Retinopathy}, journal = {Am J Ophthalmol}, volume = {233}, year = {2022}, month = {01}, pages = {111{\textendash}123}, abstract = {{To identify functionally related genes associated with diabetic retinopathy (DR) risk using gene set enrichment analyses applied to genome-wide association study meta-analyses.\ .05.\ .05) in the other method. These pathways were regulation of the lipid catabolic process (2-fold enrichment}, author = {Sobrin, L. and Susarla, G. and Stanwyck, L. and Rouhana, J. M. and Li, A. and Pollack, S. and Igo, R. P. and Jensen, R. A. and Li, X. and Ng, M. C. Y. and Smith, A. V. and Kuo, J. Z. and Taylor, K. D. and Freedman, B. I. and Bowden, D. W. and Penman, A. and Chen, C. J. and Craig, J. E. and Adler, S. G. and Chew, E. Y. and Cotch, M. F. and Yaspan, B. and Mitchell, P. and Wang, J. J. and Klein, B. E. K. and Wong, T. Y. and Rotter, J. I. and Burdon, K. P. and Iyengar, S. K. and Segr{\`e}, A. V.} } @article {9106, title = {{Gene-mapping study of extremes of cerebral small vessel disease reveals TRIM47 as a strong candidate}, journal = {Brain}, volume = {145}, year = {2022}, month = {Jun}, pages = {1992{\textendash}2007}, abstract = {Cerebral small vessel disease is a leading cause of stroke and a major contributor to cognitive decline and dementia, but our understanding of specific genes underlying the cause of sporadic cerebral small vessel disease is limited. We report a genome-wide association study and a whole-exome association study on a composite extreme phenotype of cerebral small vessel disease derived from its most common MRI features: white matter hyperintensities and lacunes. Seventeen population-based cohorts of older persons with MRI measurements and genome-wide genotyping (n = 41 326), whole-exome sequencing (n = 15 965), or exome chip (n = 5249) data contributed 13 776 and 7079 extreme small vessel disease samples for the genome-wide association study and whole-exome association study, respectively. The genome-wide association study identified significant association of common variants in 11 loci with extreme small vessel disease, of which the chr12q24.11 locus was not previously reported to be associated with any MRI marker of cerebral small vessel disease. The whole-exome association study identified significant associations of extreme small vessel disease with common variants in the 5{\textquoteright} UTR region of EFEMP1 (chr2p16.1) and one probably damaging common missense variant in TRIM47 (chr17q25.1). Mendelian randomization supports the causal association of extensive small vessel disease severity with increased risk of stroke and Alzheimer{\textquoteright}s disease. Combined evidence from summary-based Mendelian randomization studies and profiling of human loss-of-function allele carriers showed an inverse relation between TRIM47 expression in the brain and blood vessels and extensive small vessel disease severity. We observed significant enrichment of Trim47 in isolated brain vessel preparations compared to total brain fraction in mice, in line with the literature showing Trim47 enrichment in brain endothelial cells at single cell level. Functional evaluation of TRIM47 by small interfering RNAs-mediated knockdown in human brain endothelial cells showed increased endothelial permeability, an important hallmark of cerebral small vessel disease pathology. Overall, our comprehensive gene-mapping study and preliminary functional evaluation suggests a putative role of TRIM47 in the pathophysiology of cerebral small vessel disease, making it an important candidate for extensive in vivo explorations and future translational work.}, author = {Mishra, A. and Dupla{\`a}, C. and Vojinovic, D. and Suzuki, H. and Sargurupremraj, M. and Zilhao, N. R. and Li, S. and Bartz, T. M. and Jian, X. and Zhao, W. and Hofer, E. and Wittfeld, K. and Harris, S. E. and van der Auwera-Palitschka, S. and Luciano, M. and Bis, J. C. and Adams, H. H. H. and Satizabal, C. L. and Gottesman, R. F. and Gampawar, P. G. and B{\"u}low, R. and Weiss, S. and Yu, M. and Bastin, M. E. and Lopez, O. L. and Vernooij, M. W. and Beiser, A. S. and V{\"o}lker, U. and Kacprowski, T. and Soumare, A. and Smith, J. A. and Knopman, D. S. and Morris, Z. and Zhu, Y. and Rotter, J. I. and Dufouil, C. and Vald{\'e}s Hern{\'a}ndez, M. and Mu{\~n}oz Maniega, S. and Lathrop, M. and Boerwinkle, E. and Schmidt, R. and Ihara, M. and Mazoyer, B. and Yang, Q. and Joutel, A. and Tournier-Lasserve, E. and Launer, L. J. and Deary, I. J. and Mosley, T. H. and Amouyel, P. and DeCarli, C. S. and Psaty, B. M. and Tzourio, C. and Kardia, S. L. R. and Grabe, H. J. and Teumer, A. and van Duijn, C. M. and Schmidt, H. and Wardlaw, J. M. and Ikram, M. A. and Fornage, M. and Gudnason, V. and Seshadri, S. and Matthews, P. M. and Longstreth, W. T. and Couffinhal, T. and Debette, S.} } @article {9186, title = {{Genetic analyses of the electrocardiographic QT interval and its components identify additional loci and pathways}, journal = {Nat Commun}, volume = {13}, year = {2022}, month = {09}, pages = {5144}, abstract = {250,000 individuals) we identify 177, 156 and 121 independent loci for QT, JT and QRS, respectively, including a male-specific X-chromosome locus. Using gene-based rare-variant methods, we identify associations with Mendelian disease genes. Enrichments are observed in established pathways for QT and JT, and previously unreported genes indicated in insulin-receptor signalling and cardiac energy metabolism. In contrast for QRS, connective tissue components and processes for cell growth and extracellular matrix interactions are significantly enriched. We demonstrate polygenic risk score associations with atrial fibrillation, conduction disease and sudden cardiac death. Prioritization of druggable genes highlight potential therapeutic targets for arrhythmia. Together, these results substantially advance our understanding of the genetic architecture of ventricular depolarization and repolarization.}, author = {Young, W. J. and Lahrouchi, N. and Isaacs, A. and Duong, T. and Foco, L. and Ahmed, F. and Brody, J. A. and Salman, R. and Noordam, R. and Benjamins, J. W. and Haessler, J. and Lyytik{\"a}inen, L. P. and Repetto, L. and Concas, M. P. and van den Berg, M. E. and Weiss, S. and Baldassari, A. R. and Bartz, T. M. and Cook, J. P. and Evans, D. S. and Freudling, R. and Hines, O. and Isaksen, J. L. and Lin, H. and Mei, H. and Moscati, A. and M{\"u}ller-Nurasyid, M. and Nursyifa, C. and Qian, Y. and Richmond, A. and Roselli, C. and Ryan, K. A. and Tarazona-Santos, E. and Th{\'e}riault, S. and van Duijvenboden, S. and Warren, H. R. and Yao, J. and Raza, D. and Aeschbacher, S. and Ahlberg, G. and Alonso, A. and Andreasen, L. and Bis, J. C. and Boerwinkle, E. and Campbell, A. and Catamo, E. and Cocca, M. and Cutler, M. J. and Darbar, D. and De Grandi, A. and De Luca, A. and Ding, J. and Ellervik, C. and Ellinor, P. T. and Felix, S. B. and Froguel, P. and Fuchsberger, C. and G{\"o}gele, M. and Graff, C. and Graff, M. and Guo, X. and Hansen, T. and Heckbert, S. R. and Huang, P. L. and Huikuri, H. V. and Hutri-K{\"a}h{\"o}nen, N. and Ikram, M. A. and Jackson, R. D. and Junttila, J. and Kavousi, M. and Kors, J. A. and Leal, T. P. and Lemaitre, R. N. and Lin, H. J. and Lind, L. and Linneberg, A. and Liu, S. and Macfarlane, P. W. and Mangino, M. and Meitinger, T. and Mezzavilla, M. and Mishra, P. P. and Mitchell, R. N. and Mononen, N. and Montasser, M. E. and Morrison, A. C. and Nauck, M. and Nauffal, V. and Navarro, P. and Nikus, K. and Pare, G. and Patton, K. K. and Pelliccione, G. and Pittman, A. and Porteous, D. J. and Pramstaller, P. P. and Preuss, M. H. and Raitakari, O. T. and Reiner, A. P. and Ribeiro, A. L. P. and Rice, K. M. and Risch, L. and Schlessinger, D. and Schotten, U. and Schurmann, C. and Shen, X. and Shoemaker, M. B. and Sinagra, G. and Sinner, M. F. and Soliman, E. Z. and Stoll, M. and Strauch, K. and Tarasov, K. and Taylor, K. D. and Tinker, A. and Trompet, S. and Uitterlinden, A. and V{\"o}lker, U. and V{\"o}lzke, H. and Waldenberger, M. and Weng, L. C. and Whitsel, E. A. and Wilson, J. G. and Avery, C. L. and Conen, D. and Correa, A. and Cucca, F. and D{\"o}rr, M. and Gharib, S. A. and Girotto, G. and Grarup, N. and Hayward, C. and Jamshidi, Y. and Jarvelin, M. R. and Jukema, J. W. and K{\"a}{\"a}b, S. and K{\"a}h{\"o}nen, M. and Kanters, J. K. and Kooperberg, C. and Lehtim{\"a}ki, T. and Lima-Costa, M. F. and Liu, Y. and Loos, R. J. F. and Lubitz, S. A. and Mook-Kanamori, D. O. and Morris, A. P. and O{\textquoteright}Connell, J. R. and Olesen, M. S. and Orini, M. and Padmanabhan, S. and Pattaro, C. and Peters, A. and Psaty, B. M. and Rotter, J. I. and Stricker, B. and van der Harst, P. and van Duijn, C. M. and Verweij, N. and Wilson, J. F. and Arking, D. E. and Ramirez, J. and Lambiase, P. D. and Sotoodehnia, N. and Mifsud, B. and Newton-Cheh, C. and Munroe, P. B.} } @article {9312, title = {{Genetic and clinical determinants of abdominal aortic diameter: genome-wide association studies, exome array data and Mendelian randomization study}, journal = {Hum Mol Genet}, volume = {31}, year = {2022}, month = {Oct}, pages = {3566{\textendash}3579}, abstract = {0.0001), known risk factors for AAA, consistent with a causal association with AAD. Our findings point to new biology as well as highlighting gene regions in mechanisms that have previously been implicated in the genetics of other vascular diseases.}, author = {Portilla-Fernandez, E. and Klarin, D. and Hwang, S. J. and Biggs, M. L. and Bis, J. C. and Weiss, S. and Rospleszcz, S. and Natarajan, P. and Hoffmann, U. and Rogers, I. S. and Truong, Q. A. and lker, U. and rr, M. and low, R. and Criqui, M. H. and Allison, M. and Ganesh, S. K. and Yao, J. and Waldenberger, M. and Bamberg, F. and Rice, K. M. and Essers, J. and Kapteijn, D. M. C. and van der Laan, S. W. and de Knegt, R. J. and Ghanbari, M. and Felix, J. F. and Ikram, M. A. and Kavousi, M. and Uitterlinden, A. G. and Roks, A. J. M. and Danser, A. H. J. and Tsao, P. S. and Damrauer, S. M. and Guo, X. and Rotter, J. I. and Psaty, B. M. and Kathiresan, S. and lzke, H. and Peters, A. and Johnson, C. and Strauch, K. and Meitinger, T. and O{\textquoteright}Donnell, C. J. and Dehghan, A.} } @article {9093, title = {Genetic loci and prioritization of genes for kidney function decline derived from a meta-analysis of 62 longitudinal genome-wide association studies.}, journal = {Kidney Int}, year = {2022}, month = {2022 Jun 16}, abstract = {

Estimated glomerular filtration rate (eGFR) reflects kidney function. Progressive eGFR-decline can lead to kidney failure, necessitating dialysis or transplantation. Hundreds of loci from genome-wide association studies (GWAS) for eGFR help explain population cross section variability. Since the contribution of these or other loci to eGFR-decline remains largely unknown, we derived GWAS for annual eGFR-decline and meta-analyzed 62 longitudinal studies with eGFR assessed twice over time in all 343,339 individuals and in high-risk groups. We also explored different covariate adjustment. Twelve genome-wide significant independent variants for eGFR-decline unadjusted or adjusted for eGFR-baseline (11 novel, one known for this phenotype), including nine variants robustly associated across models were identified. All loci for eGFR-decline were known for cross-sectional eGFR and thus distinguished a subgroup of eGFR loci. Seven of the nine variants showed variant-by-age interaction on eGFR cross section (further about 350,000 individuals), which linked genetic associations for eGFR-decline with age-dependency of genetic cross-section associations. Clinically important were two to four-fold greater genetic effects on eGFR-decline in high-risk subgroups. Five variants associated also with chronic kidney disease progression mapped to genes with functional in-silico evidence (UMOD, SPATA7, GALNTL5, TPPP). An unfavorable versus favorable nine-variant genetic profile showed increased risk odds ratios of 1.35 for kidney failure (95\% confidence intervals 1.03-1.77) and 1.27 for acute kidney injury (95\% confidence intervals 1.08-1.50) in over 2000 cases each, with matched controls). Thus, we provide a large data resource, genetic loci, and prioritized genes for kidney function decline, which help inform drug development pipelines revealing important insights into the age-dependency of kidney function genetics.

}, issn = {1523-1755}, doi = {10.1016/j.kint.2022.05.021}, author = {Gorski, Mathias and Rasheed, Humaira and Teumer, Alexander and Thomas, Laurent F and Graham, Sarah E and Sveinbjornsson, Gardar and Winkler, Thomas W and G{\"u}nther, Felix and Stark, Klaus J and Chai, Jin-Fang and Tayo, Bamidele O and Wuttke, Matthias and Li, Yong and Tin, Adrienne and Ahluwalia, Tarunveer S and Arnl{\"o}v, Johan and {\r A}svold, Bj{\o}rn Olav and Bakker, Stephan J L and Banas, Bernhard and Bansal, Nisha and Biggs, Mary L and Biino, Ginevra and B{\"o}hnke, Michael and Boerwinkle, Eric and Bottinger, Erwin P and Brenner, Hermann and Brumpton, Ben and Carroll, Robert J and Chaker, Layal and Chalmers, John and Chee, Miao-Li and Chee, Miao-Ling and Cheng, Ching-Yu and Chu, Audrey Y and Ciullo, Marina and Cocca, Massimiliano and Cook, James P and Coresh, Josef and Cusi, Daniele and de Borst, Martin H and Degenhardt, Frauke and Eckardt, Kai-Uwe and Endlich, Karlhans and Evans, Michele K and Feitosa, Mary F and Franke, Andre and Freitag-Wolf, Sandra and Fuchsberger, Christian and Gampawar, Piyush and Gansevoort, Ron T and Ghanbari, Mohsen and Ghasemi, Sahar and Giedraitis, Vilmantas and Gieger, Christian and Gudbjartsson, Daniel F and Hallan, Stein and Hamet, Pavel and Hishida, Asahi and Ho, Kevin and Hofer, Edith and Holleczek, Bernd and Holm, Hilma and Hoppmann, Anselm and Horn, Katrin and Hutri-K{\"a}h{\"o}nen, Nina and Hveem, Kristian and Hwang, Shih-Jen and Ikram, M Arfan and Josyula, Navya Shilpa and Jung, Bettina and K{\"a}h{\"o}nen, Mika and Karabegovi{\'c}, Irma and Khor, Chiea-Chuen and Koenig, Wolfgang and Kramer, Holly and Kr{\"a}mer, Bernhard K and Kuhnel, Brigitte and Kuusisto, Johanna and Laakso, Markku and Lange, Leslie A and Lehtim{\"a}ki, Terho and Li, Man and Lieb, Wolfgang and Lind, Lars and Lindgren, Cecilia M and Loos, Ruth J F and Lukas, Mary Ann and Lyytik{\"a}inen, Leo-Pekka and Mahajan, Anubha and Matias-Garcia, Pamela R and Meisinger, Christa and Meitinger, Thomas and Melander, Olle and Milaneschi, Yuri and Mishra, Pashupati P and Mononen, Nina and Morris, Andrew P and Mychaleckyj, Josyf C and Nadkarni, Girish N and Naito, Mariko and Nakatochi, Masahiro and Nalls, Mike A and Nauck, Matthias and Nikus, Kjell and Ning, Boting and Nolte, Ilja M and Nutile, Teresa and O{\textquoteright}Donoghue, Michelle L and O{\textquoteright}Connell, Jeffrey and Olafsson, Isleifur and Orho-Melander, Marju and Parsa, Afshin and Pendergrass, Sarah A and Penninx, Brenda W J H and Pirastu, Mario and Preuss, Michael H and Psaty, Bruce M and Raffield, Laura M and Raitakari, Olli T and Rheinberger, Myriam and Rice, Kenneth M and Rizzi, Federica and Rosenkranz, Alexander R and Rossing, Peter and Rotter, Jerome I and Ruggiero, Daniela and Ryan, Kathleen A and Sabanayagam, Charumathi and Salvi, Erika and Schmidt, Helena and Schmidt, Reinhold and Scholz, Markus and Sch{\"o}ttker, Ben and Schulz, Christina-Alexandra and Sedaghat, Sanaz and Shaffer, Christian M and Sieber, Karsten B and Sim, Xueling and Sims, Mario and Snieder, Harold and Stanzick, Kira J and Thorsteinsdottir, Unnur and Stocker, Hannah and Strauch, Konstantin and Stringham, Heather M and Sulem, Patrick and Szymczak, Silke and Taylor, Kent D and Thio, Chris H L and Tremblay, Johanne and Vaccargiu, Simona and van der Harst, Pim and van der Most, Peter J and Verweij, Niek and V{\"o}lker, Uwe and Wakai, Kenji and Waldenberger, Melanie and Wallentin, Lars and Wallner, Stefan and Wang, Judy and Waterworth, Dawn M and White, Harvey D and Willer, Cristen J and Wong, Tien-Yin and Woodward, Mark and Yang, Qiong and Yerges-Armstrong, Laura M and Zimmermann, Martina and Zonderman, Alan B and Bergler, Tobias and Stefansson, Kari and B{\"o}ger, Carsten A and Pattaro, Cristian and K{\"o}ttgen, Anna and Kronenberg, Florian and Heid, Iris M} } @article {9452, title = {Genome Wide Association Studies of Variant-by-Thiazide Interaction on Lipids Identifies a Novel Low-Density Lipoprotein Cholesterol Locus.}, journal = {Circ Res}, volume = {131}, year = {2022}, month = {2022 Jul 22}, pages = {277-279}, keywords = {Cholesterol, HDL, Cholesterol, LDL, Diuretics, Genome-Wide Association Study, Sodium Chloride Symporter Inhibitors, Thiazides, Triglycerides}, issn = {1524-4571}, doi = {10.1161/CIRCRESAHA.122.321120}, author = {Downie, Carolina G and Highland, Heather M and Lee, Moa P and Raffield, Laura M and Preuss, Michael and Whitsel, Eric A and Psaty, Bruce M and Sitlani, Colleen M and Graff, Mariaelisa and Avery, Christy L} } @article {9313, title = {Genome-wide analyses identify as a susceptibility locus for premature atrial contraction frequency.}, journal = {iScience}, volume = {25}, year = {2022}, month = {2022 Oct 21}, pages = {105210}, abstract = {

Premature atrial contractions (PACs) are frequently observed on electrocardiograms and are associated with increased risks of atrial fibrillation (AF), stroke, and mortality. In this study, we aimed to identify genetic susceptibility loci for PAC frequency. We performed a genome-wide association study meta-analysis with PAC frequency obtained from ambulatory cardiac monitoring in 4,831 individuals of European ancestry. We identified a genome-wide significant locus at the gene. The lead variant, rs7373862, located in an intron of , was associated with an increase of 0.12 [95\% CI 0.08-0.16] standard deviations of the normalized PAC frequency per risk allele. Among genetic variants previously associated with AF, there was a significant enrichment in concordance of effect for PAC frequency (n~= 73/106, p~= 5.1~{\texttimes}~10). However, several AF risk loci, including , were not associated with PAC frequency. These findings suggest the existence of both shared and distinct genetic mechanisms for PAC frequency and AF.

}, issn = {2589-0042}, doi = {10.1016/j.isci.2022.105210}, author = {Th{\'e}riault, S{\'e}bastien and Imboden, Medea and Biggs, Mary L and Austin, Thomas R and Aeschbacher, Stefanie and Schaffner, Emmanuel and Brody, Jennifer A and Bartz, Traci M and Risch, Martin and Grossmann, Kirsten and Lin, Henry J and Soliman, Elsayed Z and Post, Wendy S and Risch, Lorenz and Krieger, Jose E and Pereira, Alexandre C and Heckbert, Susan R and Sotoodehnia, Nona and Probst-Hensch, Nicole M and Conen, David} } @article {8999, title = {{Genome-wide analysis of mitochondrial DNA copy number reveals loci implicated in nucleotide metabolism, platelet activation, and megakaryocyte proliferation}, journal = {Hum Genet}, volume = {141}, year = {2022}, month = {Jan}, pages = {127{\textendash}146}, abstract = {).}, author = {Longchamps, R. J. and Yang, S. Y. and Castellani, C. A. and Shi, W. and Lane, J. and Grove, M. L. and Bartz, T. M. and Sarnowski, C. and Liu, C. and Burrows, K. and Guyatt, A. L. and Gaunt, T. R. and Kacprowski, T. and Yang, J. and De Jager, P. L. and Yu, L. and Bergman, A. and Xia, R. and Fornage, M. and Feitosa, M. F. and Wojczynski, M. K. and Kraja, A. T. and Province, M. A. and Amin, N. and Rivadeneira, F. and Tiemeier, H. and Uitterlinden, A. G. and Broer, L. and van Meurs, J. B. J. and van Duijn, C. M. and Raffield, L. M. and Lange, L. and Rich, S. S. and Lemaitre, R. N. and Goodarzi, M. O. and Sitlani, C. M. and Mak, A. C. Y. and Bennett, D. A. and Rodriguez, S. and Murabito, J. M. and Lunetta, K. L. and Sotoodehnia, N. and Atzmon, G. and Ye, K. and Barzilai, N. and Brody, J. A. and Psaty, B. M. and Taylor, K. D. and Rotter, J. I. and Boerwinkle, E. and Pankratz, N. and Arking, D. E.} } @article {9169, title = {Genome-wide meta-analyses reveal novel loci for verbal short-term memory and learning.}, journal = {Mol Psychiatry}, year = {2022}, month = {2022 Aug 16}, abstract = {

Understanding the genomic basis of memory processes may help in combating neurodegenerative disorders. Hence, we examined the associations of common genetic variants with verbal short-term memory and verbal learning in adults without dementia or stroke (N = 53,637). We identified novel loci in the intronic region of CDH18, and at 13q21 and 3p21.1, as well as an expected signal in the APOE/APOC1/TOMM40 region. These results replicated in an independent sample. Functional and bioinformatic analyses supported many of these loci and further implicated POC1. We showed that polygenic score for verbal learning associated with brain activation in right parieto-occipital region during working memory task. Finally, we showed genetic correlations of these memory traits with several neurocognitive and health outcomes. Our findings suggest a role of several genomic loci in verbal memory processes.

}, issn = {1476-5578}, doi = {10.1038/s41380-022-01710-8}, author = {Lahti, Jari and Tuominen, Samuli and Yang, Qiong and Pergola, Giulio and Ahmad, Shahzad and Amin, Najaf and Armstrong, Nicola J and Beiser, Alexa and Bey, Katharina and Bis, Joshua C and Boerwinkle, Eric and Bressler, Jan and Campbell, Archie and Campbell, Harry and Chen, Qiang and Corley, Janie and Cox, Simon R and Davies, Gail and De Jager, Philip L and Derks, Eske M and Faul, Jessica D and Fitzpatrick, Annette L and Fohner, Alison E and Ford, Ian and Fornage, Myriam and Gerring, Zachary and Grabe, Hans J and Grodstein, Francine and Gudnason, Vilmundur and Simonsick, Eleanor and Holliday, Elizabeth G and Joshi, Peter K and Kajantie, Eero and Kaprio, Jaakko and Karell, Pauliina and Kleineidam, Luca and Knol, Maria J and Kochan, Nicole A and Kwok, John B and Leber, Markus and Lam, Max and Lee, Teresa and Li, Shuo and Loukola, Anu and Luck, Tobias and Marioni, Riccardo E and Mather, Karen A and Medland, Sarah and Mirza, Saira S and Nalls, Mike A and Nho, Kwangsik and O{\textquoteright}Donnell, Adrienne and Oldmeadow, Christopher and Painter, Jodie and Pattie, Alison and Reppermund, Simone and Risacher, Shannon L and Rose, Richard J and Sadashivaiah, Vijay and Scholz, Markus and Satizabal, Claudia L and Schofield, Peter W and Schraut, Katharina E and Scott, Rodney J and Simino, Jeannette and Smith, Albert V and Smith, Jennifer A and Stott, David J and Surakka, Ida and Teumer, Alexander and Thalamuthu, Anbupalam and Trompet, Stella and Turner, Stephen T and van der Lee, Sven J and Villringer, Arno and V{\"o}lker, Uwe and Wilson, Robert S and Wittfeld, Katharina and Vuoksimaa, Eero and Xia, Rui and Yaffe, Kristine and Yu, Lei and Zare, Habil and Zhao, Wei and Ames, David and Attia, John and Bennett, David A and Brodaty, Henry and Chasman, Daniel I and Goldman, Aaron L and Hayward, Caroline and Ikram, M Arfan and Jukema, J Wouter and Kardia, Sharon L R and Lencz, Todd and Loeffler, Markus and Mattay, Venkata S and Palotie, Aarno and Psaty, Bruce M and Ramirez, Alfredo and Ridker, Paul M and Riedel-Heller, Steffi G and Sachdev, Perminder S and Saykin, Andrew J and Scherer, Martin and Schofield, Peter R and Sidney, Stephen and Starr, John M and Trollor, Julian and Ulrich, William and Wagner, Michael and Weir, David R and Wilson, James F and Wright, Margaret J and Weinberger, Daniel R and Debette, Stephanie and Eriksson, Johan G and Mosley, Thomas H and Launer, Lenore J and van Duijn, Cornelia M and Deary, Ian J and Seshadri, Sudha and R{\"a}ikk{\"o}nen, Katri} } @article {9103, title = {{Genome-wide studies reveal factors associated with circulating uromodulin and its relationships to complex diseases}, journal = {JCI Insight}, volume = {7}, year = {2022}, month = {05}, abstract = {Uromodulin (UMOD) is a major risk gene for monogenic and complex forms of kidney disease. The encoded kidney-specific protein uromodulin is highly abundant in urine and related to chronic kidney disease, hypertension, and pathogen defense. To gain insights into potential systemic roles, we performed genome-wide screens of circulating uromodulin using complementary antibody-based and aptamer-based assays. We detected 3 and 10 distinct significant loci, respectively. Integration of antibody-based results at the UMOD locus with functional genomics data (RNA-Seq, ATAC-Seq, Hi-C) of primary human kidney tissue highlighted an upstream variant with differential accessibility and transcription in uromodulin-synthesizing kidney cells as underlying the observed cis effect. Shared association patterns with complex traits, including chronic kidney disease and blood pressure, placed the PRKAG2 locus in the same pathway as UMOD. Experimental validation of the third antibody-based locus, B4GALNT2, showed that the p.Cys466Arg variant of the encoded N-acetylgalactosaminyltransferase had a loss-of-function effect leading to higher serum uromodulin levels. Aptamer-based results pointed to enzymes writing glycan marks present on uromodulin and to their receptors in the circulation, suggesting that this assay permits investigating uromodulin{\textquoteright}s complex glycosylation rather than its quantitative levels. Overall, our study provides insights into circulating uromodulin and its emerging functions.}, author = {Li, Y. and Cheng, Y. and Consolato, F. and Schiano, G. and Chong, M. R. and Pietzner, M. and Nguyen, N. Q. H. and Scherer, N. and Biggs, M. L. and Kleber, M. E. and Haug, S. and G{\"o}{\c c}men, B. and Pigeyre, M. and Sekula, P. and Steinbrenner, I. and Schlosser, P. and Joseph, C. B. and Brody, J. A. and Grams, M. E. and Hayward, C. and Schultheiss, U. T. and Kr{\"a}mer, B. K. and Kronenberg, F. and Peters, A. and Seissler, J. and Steubl, D. and Then, C. and Wuttke, M. and M{\"a}rz, W. and Eckardt, K. U. and Gieger, C. and Boerwinkle, E. and Psaty, B. M. and Coresh, J. and Oefner, P. J. and Pare, G. and Langenberg, C. and Scherberich, J. E. and Yu, B. and Akilesh, S. and Devuyst, O. and Rampoldi, L. and K{\"o}ttgen, A.} } @article {9092, title = {Glucose dysregulation and subclinical cardiac dysfunction in older adults: The Cardiovascular Health Study.}, journal = {Cardiovasc Diabetol}, volume = {21}, year = {2022}, month = {2022 Jun 20}, pages = {112}, abstract = {

OBJECTIVE: We evaluated whether measures of glucose dysregulation are associated with subclinical cardiac dysfunction, as assessed by speckle-tracking echocardiography, in an older population.

METHODS: Participants were men and women in the Cardiovascular Health Study, age 65+ years and without coronary heart disease, atrial fibrillation, or heart failure at baseline. We evaluated fasting insulin resistance (IR) with the homeostatic model of insulin resistance (HOMA-IR) and estimated the Matsuda insulin sensitivity index (ISI) and insulin secretion with an oral glucose tolerance test. Systolic and diastolic cardiac mechanics were measured with speckle-tracking analysis of echocardiograms. Multi-variable adjusted linear regression models were used to investigate associations of insulin measures and cardiac mechanics.

RESULTS: Mean age for the 2433 included participants was 72.0~years, 33.6\% were male, and 3.7\% were black. After adjustment for age, sex, race, site, speckle-tracking analyst, echo image and quality score, higher HOMA-IR, lower Matsuda ISI, and higher insulin secretion were each associated with worse left ventricular (LV) longitudinal strain and LV early diastolic strain rate (p-value < 0.005); however, associations were significantly attenuated after adjustment for waist circumference, with the exception of Matsuda ISI and LV longitudinal strain (increase in strain per standard deviation increment in Matsuda ISI = 0.18; 95\% confidence interval = 0.03-0.33).

CONCLUSION: In this cross-sectional study of older adults, associations of glucose dysregulation with subclinical cardiac dysfunction were largely attenuated after adjusting for central adiposity.

}, keywords = {Aged, Cross-Sectional Studies, Female, Glucose, Humans, Insulin Resistance, Male, Ventricular Dysfunction, Left, Ventricular Function, Left}, issn = {1475-2840}, doi = {10.1186/s12933-022-01547-z}, author = {Garg, Parveen K and Biggs, Mary L and Kizer, Jorge R and Shah, Sanjiv J and Psaty, Bruce and Carnethon, Mercedes and Gottdiener, John S and Siscovick, David and Mukamal, Kenneth J} } @article {9535, title = {Gene-educational attainment interactions in a multi-population genome-wide meta-analysis identify novel lipid loci.}, journal = {Front Genet}, volume = {14}, year = {2023}, month = {2023}, pages = {1235337}, abstract = {

Educational attainment, widely used in epidemiologic studies as a surrogate for socioeconomic status, is a predictor of cardiovascular health outcomes. A two-stage genome-wide meta-analysis of low-density lipoprotein cholesterol (LDL), high-density lipoprotein cholesterol (HDL), and triglyceride (TG) levels was performed while accounting for gene-educational attainment interactions in up to 226,315 individuals from five population groups. We considered two educational attainment variables: "Some College" (yes/no, for any education beyond high school) and "Graduated College" (yes/no, for completing a 4-year college degree). Genome-wide significant ( < 5 {\texttimes} 10) and suggestive ( < 1 {\texttimes} 10) variants were identified in Stage 1 (in up to 108,784 individuals) through genome-wide analysis, and those variants were followed up in Stage 2 studies (in up to 117,531 individuals). In combined analysis of Stages 1 and 2, we identified 18 novel lipid loci (nine for LDL, seven for HDL, and two for TG) by two degree-of-freedom (2 DF) joint tests of main and interaction effects. Four loci showed significant interaction with educational attainment. Two loci were significant only in cross-population analyses. Several loci include genes with known or suggested roles in adipose (), brain (), and liver () biology, highlighting the potential importance of brain-adipose-liver communication in the regulation of lipid metabolism. An investigation of the potential druggability of genes in identified loci resulted in five gene targets shown to interact with drugs approved by the Food and Drug Administration, including genes with roles in adipose and brain tissue. Genome-wide interaction analysis of educational attainment identified novel lipid loci not previously detected by analyses limited to main genetic effects.

}, issn = {1664-8021}, doi = {10.3389/fgene.2023.1235337}, author = {de Las Fuentes, Lisa and Schwander, Karen L and Brown, Michael R and Bentley, Amy R and Winkler, Thomas W and Sung, Yun Ju and Munroe, Patricia B and Miller, Clint L and Aschard, Hugo and Aslibekyan, Stella and Bartz, Traci M and Bielak, Lawrence F and Chai, Jin Fang and Cheng, Ching-Yu and Dorajoo, Rajkumar and Feitosa, Mary F and Guo, Xiuqing and Hartwig, Fernando P and Horimoto, Andrea and Kolcic, Ivana and Lim, Elise and Liu, Yongmei and Manning, Alisa K and Marten, Jonathan and Musani, Solomon K and Noordam, Raymond and Padmanabhan, Sandosh and Rankinen, Tuomo and Richard, Melissa A and Ridker, Paul M and Smith, Albert V and Vojinovic, Dina and Zonderman, Alan B and Alver, Maris and Boissel, Mathilde and Christensen, Kaare and Freedman, Barry I and Gao, Chuan and Giulianini, Franco and Harris, Sarah E and He, Meian and Hsu, Fang-Chi and Kuhnel, Brigitte and Laguzzi, Federica and Li, Xiaoyin and Lyytik{\"a}inen, Leo-Pekka and Nolte, Ilja M and Poveda, Alaitz and Rauramaa, Rainer and Riaz, Muhammad and Robino, Antonietta and Sofer, Tamar and Takeuchi, Fumihiko and Tayo, Bamidele O and van der Most, Peter J and Verweij, Niek and Ware, Erin B and Weiss, Stefan and Wen, Wanqing and Yanek, Lisa R and Zhan, Yiqiang and Amin, Najaf and Arking, Dan E and Ballantyne, Christie and Boerwinkle, Eric and Brody, Jennifer A and Broeckel, Ulrich and Campbell, Archie and Canouil, Micka{\"e}l and Chai, Xiaoran and Chen, Yii-Der Ida and Chen, Xu and Chitrala, Kumaraswamy Naidu and Concas, Maria Pina and de Faire, Ulf and de Mutsert, Ren{\'e}e and de Silva, H Janaka and de Vries, Paul S and Do, Ahn and Faul, Jessica D and Fisher, Virginia and Floyd, James S and Forrester, Terrence and Friedlander, Yechiel and Girotto, Giorgia and Gu, C Charles and Hallmans, G{\"o}ran and Heikkinen, Sami and Heng, Chew-Kiat and Homuth, Georg and Hunt, Steven and Ikram, M Arfan and Jacobs, David R and Kavousi, Maryam and Khor, Chiea Chuen and Kilpel{\"a}inen, Tuomas O and Koh, Woon-Puay and Komulainen, Pirjo and Langefeld, Carl D and Liang, Jingjing and Liu, Kiang and Liu, Jianjun and Lohman, Kurt and M{\"a}gi, Reedik and Manichaikul, Ani W and McKenzie, Colin A and Meitinger, Thomas and Milaneschi, Yuri and Nauck, Matthias and Nelson, Christopher P and O{\textquoteright}Connell, Jeffrey R and Palmer, Nicholette D and Pereira, Alexandre C and Perls, Thomas and Peters, Annette and Polasek, Ozren and Raitakari, Olli T and Rice, Kenneth and Rice, Treva K and Rich, Stephen S and Sabanayagam, Charumathi and Schreiner, Pamela J and Shu, Xiao-Ou and Sidney, Stephen and Sims, Mario and Smith, Jennifer A and Starr, John M and Strauch, Konstantin and Tai, E Shyong and Taylor, Kent D and Tsai, Michael Y and Uitterlinden, Andr{\'e} G and van Heemst, Diana and Waldenberger, Melanie and Wang, Ya-Xing and Wei, Wen-Bin and Wilson, Gregory and Xuan, Deng and Yao, Jie and Yu, Caizheng and Yuan, Jian-Min and Zhao, Wei and Becker, Diane M and Bonnefond, Am{\'e}lie and Bowden, Donald W and Cooper, Richard S and Deary, Ian J and Divers, Jasmin and Esko, T{\~o}nu and Franks, Paul W and Froguel, Philippe and Gieger, Christian and Jonas, Jost B and Kato, Norihiro and Lakka, Timo A and Leander, Karin and Lehtim{\"a}ki, Terho and Magnusson, Patrik K E and North, Kari E and Ntalla, Ioanna and Penninx, Brenda and Samani, Nilesh J and Snieder, Harold and Spedicati, Beatrice and van der Harst, Pim and V{\"o}lzke, Henry and Wagenknecht, Lynne E and Weir, David R and Wojczynski, Mary K and Wu, Tangchun and Zheng, Wei and Zhu, Xiaofeng and Bouchard, Claude and Chasman, Daniel I and Evans, Michele K and Fox, Ervin R and Gudnason, Vilmundur and Hayward, Caroline and Horta, Bernardo L and Kardia, Sharon L R and Krieger, Jose Eduardo and Mook-Kanamori, Dennis O and Peyser, Patricia A and Province, Michael M and Psaty, Bruce M and Rudan, Igor and Sim, Xueling and Smith, Blair H and van Dam, Rob M and van Duijn, Cornelia M and Wong, Tien Yin and Arnett, Donna K and Rao, Dabeeru C and Gauderman, James and Liu, Ching-Ti and Morrison, Alanna C and Rotter, Jerome I and Fornage, Myriam} } @article {9322, title = {Genetic architecture of spatial electrical biomarkers for cardiac arrhythmia and relationship with cardiovascular disease.}, journal = {Nat Commun}, volume = {14}, year = {2023}, month = {2023 Mar 14}, pages = {1411}, abstract = {

The 3-dimensional spatial and 2-dimensional frontal QRS-T angles are measures derived from the vectorcardiogram. They are independent risk predictors for arrhythmia, but the underlying biology is unknown. Using multi-ancestry genome-wide association studies we identify 61 (58 previously unreported) loci for the spatial QRS-T angle (N = 118,780) and 11 for the frontal QRS-T angle (N = 159,715). Seven out of the 61 spatial QRS-T angle loci have not been reported for other electrocardiographic measures. Enrichments are observed in pathways related to cardiac and vascular development, muscle contraction, and hypertrophy. Pairwise genome-wide association studies with classical ECG traits identify shared genetic influences with PR interval and QRS duration.~Phenome-wide scanning indicate associations with atrial fibrillation, atrioventricular block and arterial embolism~and~genetically determined QRS-T angle measures are associated with fascicular and bundle branch block (and also atrioventricular block for the frontal QRS-T angle). We identify potential biology involved in the QRS-T angle~and~their genetic relationships with cardiovascular traits and diseases, may inform future research and risk prediction.

}, keywords = {Arrhythmias, Cardiac, Atrioventricular Block, Biomarkers, Cardiovascular Diseases, Electrocardiography, Genome-Wide Association Study, Humans, Risk Factors}, issn = {2041-1723}, doi = {10.1038/s41467-023-36997-w}, author = {Young, William J and Haessler, Jeffrey and Benjamins, Jan-Walter and Repetto, Linda and Yao, Jie and Isaacs, Aaron and Harper, Andrew R and Ramirez, Julia and Garnier, Sophie and Van Duijvenboden, Stefan and Baldassari, Antoine R and Concas, Maria Pina and Duong, ThuyVy and Foco, Luisa and Isaksen, Jonas L and Mei, Hao and Noordam, Raymond and Nursyifa, Casia and Richmond, Anne and Santolalla, Meddly L and Sitlani, Colleen M and Soroush, Negin and Th{\'e}riault, S{\'e}bastien and Trompet, Stella and Aeschbacher, Stefanie and Ahmadizar, Fariba and Alonso, Alvaro and Brody, Jennifer A and Campbell, Archie and Correa, Adolfo and Darbar, Dawood and De Luca, Antonio and Deleuze, Jean-Francois and Ellervik, Christina and Fuchsberger, Christian and Goel, Anuj and Grace, Christopher and Guo, Xiuqing and Hansen, Torben and Heckbert, Susan R and Jackson, Rebecca D and Kors, Jan A and Lima-Costa, Maria Fernanda and Linneberg, Allan and Macfarlane, Peter W and Morrison, Alanna C and Navarro, Pau and Porteous, David J and Pramstaller, Peter P and Reiner, Alexander P and Risch, Lorenz and Schotten, Ulrich and Shen, Xia and Sinagra, Gianfranco and Soliman, Elsayed Z and Stoll, Monika and Tarazona-Santos, Eduardo and Tinker, Andrew and Trajanoska, Katerina and Villard, Eric and Warren, Helen R and Whitsel, Eric A and Wiggins, Kerri L and Arking, Dan E and Avery, Christy L and Conen, David and Girotto, Giorgia and Grarup, Niels and Hayward, Caroline and Jukema, J Wouter and Mook-Kanamori, Dennis O and Olesen, Morten Salling and Padmanabhan, Sandosh and Psaty, Bruce M and Pattaro, Cristian and Ribeiro, Antonio Luiz P and Rotter, Jerome I and Stricker, Bruno H and van der Harst, Pim and van Duijn, Cornelia M and Verweij, Niek and Wilson, James G and Orini, Michele and Charron, Philippe and Watkins, Hugh and Kooperberg, Charles and Lin, Henry J and Wilson, James F and Kanters, J{\o}rgen K and Sotoodehnia, Nona and Mifsud, Borbala and Lambiase, Pier D and Tereshchenko, Larisa G and Munroe, Patricia B} } @article {9286, title = {Genetic control of mRNA splicing as a potential mechanism for incomplete penetrance of rare coding variants.}, journal = {bioRxiv}, year = {2023}, month = {2023 Jan 31}, abstract = {

Exonic variants present some of the strongest links between genotype and phenotype. However, these variants can have significant inter-individual pathogenicity differences, known as variable penetrance. In this study, we propose a model where genetically controlled mRNA splicing modulates the pathogenicity of exonic variants. By first cataloging exonic inclusion from RNA-seq data in GTEx v8, we find that pathogenic alleles are depleted on highly included exons. Using a large-scale phased WGS data from the TOPMed consortium, we observe that this effect may be driven by common splice-regulatory genetic variants, and that natural selection acts on haplotype configurations that reduce the transcript inclusion of putatively pathogenic variants, especially when limiting to haploinsufficient genes. Finally, we test if this effect may be relevant for autism risk using families from the Simons Simplex Collection, but find that splicing of pathogenic alleles has a penetrance reducing effect here as well. Overall, our results indicate that common splice-regulatory variants may play a role in reducing the damaging effects of rare exonic variants.

}, doi = {10.1101/2023.01.31.526505}, author = {Einson, Jonah and Glinos, Dafni and Boerwinkle, Eric and Castaldi, Peter and Darbar, Dawood and de Andrade, Mariza and Ellinor, Patrick and Fornage, Myriam and Gabriel, Stacey and Germer, Soren and Gibbs, Richard and Hersh, Craig P and Johnsen, Jill and Kaplan, Robert and Konkle, Barbara A and Kooperberg, Charles and Nassir, Rami and Loos, Ruth J F and Meyers, Deborah A and Mitchell, Braxton D and Psaty, Bruce and Vasan, Ramachandran S and Rich, Stephen S and Rienstra, Michael and Rotter, Jerome I and Saferali, Aabida and Shoemaker, M Benjamin and Silverman, Edwin and Smith, Albert Vernon and Mohammadi, Pejman and Castel, Stephane E and Iossifov, Ivan and Lappalainen, Tuuli} } @article {9419, title = {The genetic determinants of recurrent somatic mutations in 43,693 blood genomes.}, journal = {Sci Adv}, volume = {9}, year = {2023}, month = {2023 Apr 28}, pages = {eabm4945}, abstract = {

Nononcogenic somatic mutations are thought to be uncommon and inconsequential. To test this, we analyzed 43,693 National Heart, Lung and Blood Institute Trans-Omics for Precision Medicine blood whole genomes from 37 cohorts and identified 7131 non-missense somatic mutations that are recurrently mutated in at least 50 individuals. These recurrent non-missense somatic mutations (RNMSMs) are not clearly explained by other clonal phenomena such as clonal hematopoiesis. RNMSM prevalence increased with age, with an average 50-year-old having 27 RNMSMs. Inherited germline variation associated with RNMSM acquisition. These variants were found in genes involved in adaptive immune function, proinflammatory cytokine production, and lymphoid lineage commitment. In addition, the presence of eight specific RNMSMs associated with blood cell traits at effect sizes comparable to Mendelian genetic mutations. Overall, we found that somatic mutations in blood are an unexpectedly common phenomenon with ancestry-specific determinants and human health consequences.

}, keywords = {Germ-Line Mutation, Hematopoiesis, Humans, Middle Aged, Mutation, Mutation, Missense, Phenotype}, issn = {2375-2548}, doi = {10.1126/sciadv.abm4945}, author = {Weinstock, Joshua S and Laurie, Cecelia A and Broome, Jai G and Taylor, Kent D and Guo, Xiuqing and Shuldiner, Alan R and O{\textquoteright}Connell, Jeffrey R and Lewis, Joshua P and Boerwinkle, Eric and Barnes, Kathleen C and Chami, Nathalie and Kenny, Eimear E and Loos, Ruth J F and Fornage, Myriam and Redline, Susan and Cade, Brian E and Gilliland, Frank D and Chen, Zhanghua and Gauderman, W James and Kumar, Rajesh and Grammer, Leslie and Schleimer, Robert P and Psaty, Bruce M and Bis, Joshua C and Brody, Jennifer A and Silverman, Edwin K and Yun, Jeong H and Qiao, Dandi and Weiss, Scott T and Lasky-Su, Jessica and DeMeo, Dawn L and Palmer, Nicholette D and Freedman, Barry I and Bowden, Donald W and Cho, Michael H and Vasan, Ramachandran S and Johnson, Andrew D and Yanek, Lisa R and Becker, Lewis C and Kardia, Sharon and He, Jiang and Kaplan, Robert and Heckbert, Susan R and Smith, Nicholas L and Wiggins, Kerri L and Arnett, Donna K and Irvin, Marguerite R and Tiwari, Hemant and Correa, Adolfo and Raffield, Laura M and Gao, Yan and de Andrade, Mariza and Rotter, Jerome I and Rich, Stephen S and Manichaikul, Ani W and Konkle, Barbara A and Johnsen, Jill M and Wheeler, Marsha M and Custer, Brian S and Duggirala, Ravindranath and Curran, Joanne E and Blangero, John and Gui, Hongsheng and Xiao, Shujie and Williams, L Keoki and Meyers, Deborah A and Li, Xingnan and Ortega, Victor and McGarvey, Stephen and Gu, C Charles and Chen, Yii-Der Ida and Lee, Wen-Jane and Shoemaker, M Benjamin and Darbar, Dawood and Roden, Dan and Albert, Christine and Kooperberg, Charles and Desai, Pinkal and Blackwell, Thomas W and Abecasis, Goncalo R and Smith, Albert V and Kang, Hyun M and Mathias, Rasika and Natarajan, Pradeep and Jaiswal, Siddhartha and Reiner, Alexander P and Bick, Alexander G} } @article {9465, title = {Genome-Wide Association Studies and fine-mapping of genomic loci for n-3 and n-6 Polyunsaturated Fatty Acids in Hispanic American and African American Cohorts.}, journal = {Res Sq}, year = {2023}, month = {2023 Feb 24}, abstract = {

Omega-3 (n-3) and omega-6 (n-6) polyunsaturated fatty acids (PUFAs) play critical roles in human health. Prior genome-wide association studies (GWAS) of n-3 and n-6 PUFAs in European Americans from the CHARGE Consortium have documented strong genetic signals in/near the locus on chromosome 11. We performed a GWAS of four n-3 and four n-6 PUFAs in Hispanic American (n = 1454) and African American (n = 2278) participants from three CHARGE cohorts. Applying a genome-wide significance threshold of < 5 x 10 , we confirmed association of the signal and found evidence of two additional signals (in and ) within 200 kb of the originally reported signal. Outside of the region, we identified novel signals for arachidonic acid (AA) in Hispanic Americans located in/near genes including , , and spanning a > 9 Mb region on chromosome 11 (57.5Mb ~ 67.1Mb). Among these novel signals, we found associations unique to Hispanic Americans, including rs28364240, a missense variant for AA that is common in CHARGE Hispanic Americans but absent in other race/ancestry groups. Our study sheds light on the genetics of PUFAs and the value of investigating complex trait genetics across diverse ancestry populations.

}, doi = {10.21203/rs.3.rs-2073736/v1}, author = {Yang, Chaojie and Veenstra, Jenna and Bartz, Traci and Pahl, Matthew and Hallmark, Brian and Chen, Yii-Der Ida and Westra, Jason and Steffen, Lyn and Brown, Christopher and Siscovick, David and Tsai, Michael and Wood, Alexis and Rich, Stephen and Smith, Caren and O{\textquoteright}Connor, Timothy and Mozaffarian, Dariush and Grant, Struan and Chilton, Floyd and Tintle, Nathan and Lemaitre, Rozenn and Manichaikul, Ani} } @article {9583, title = {Genome-Wide Interaction Analysis with DASH Diet Score Identified Novel Loci for Systolic Blood Pressure.}, journal = {medRxiv}, year = {2023}, month = {2023 Nov 11}, abstract = {

OBJECTIVE: We examined interactions between genotype and a Dietary Approaches to Stop Hypertension (DASH) diet score in relation to systolic blood pressure (SBP).

METHODS: We analyzed up to 9,420,585 biallelic imputed single nucleotide polymorphisms (SNPs) in up to 127,282 individuals of six population groups (91\% of European population) from the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium (CHARGE; n=35,660) and UK Biobank (n=91,622) and performed European population-specific and cross-population meta-analyses.

RESULTS: We identified three loci in European-specific analyses and an additional four loci in cross-population analyses at P for interaction < 5e-8. We observed a consistent interaction between rs117878928 at 15q25.1 (minor allele frequency = 0.03) and the DASH diet score (P for interaction = 4e-8; P for heterogeneity = 0.35) in European population, where the interaction effect size was 0.42{\textpm}0.09 mm Hg (P for interaction = 9.4e-7) and 0.20{\textpm}0.06 mm Hg (P for interaction = 0.001) in CHARGE and the UK Biobank, respectively. The 1 Mb region surrounding rs117878928 was enriched with -expression quantitative trait loci (eQTL) variants (P = 4e-273) and -DNA methylation quantitative trait loci (mQTL) variants (P = 1e-300). While the closest gene for rs117878928 is , the highest narrow sense heritability accounted by SNPs potentially interacting with the DASH diet score in this locus was for gene at 15q25.1.

CONCLUSION: We demonstrated gene-DASH diet score interaction effects on SBP in several loci. Studies with larger diverse populations are needed to validate our findings.

}, doi = {10.1101/2023.11.10.23298402}, author = {Guirette, Melanie and Lan, Jessie and McKeown, Nicola and Brown, Michael R and Chen, Han and de Vries, Paul S and Kim, Hyunju and Rebholz, Casey M and Morrison, Alanna C and Bartz, Traci M and Fretts, Amanda M and Guo, Xiuqing and Lemaitre, Rozenn N and Liu, Ching-Ti and Noordam, Raymond and de Mutsert, Ren{\'e}e and Rosendaal, Frits R and Wang, Carol A and Beilin, Lawrence and Mori, Trevor A and Oddy, Wendy H and Pennell, Craig E and Chai, Jin Fang and Whitton, Clare and van Dam, Rob M and Liu, Jianjun and Tai, E Shyong and Sim, Xueling and Neuhouser, Marian L and Kooperberg, Charles and Tinker, Lesley and Franceschini, Nora and Huan, Tianxiao and Winkler, Thomas W and Bentley, Amy R and Gauderman, W James and Heerkens, Luc and Tanaka, Toshiko and van Rooij, Jeroen and Munroe, Patricia B and Warren, Helen R and Voortman, Trudy and Chen, Honglei and Rao, D C and Levy, Daniel and Ma, Jiantao} } @article {9644, title = {{A genetic association study of circulating coagulation Factor VIII and von Willebrand Factor levels}, journal = {Blood}, year = {2024}, month = {Feb}, abstract = {10-9) at seven new loci for FVIII (ST3GAL4, CLEC4M, B3GNT2, ASGR1, F12, KNG1, and TREM1/NCR2) and one for VWF (B3GNT2). VWF, ABO, and STAB2 were associated with FVIII and VWF in gene-based analyses. Multi-phenotype analysis of FVIII and VWF identified another three new loci, including PDIA3. Silencing of B3GNT2 and the previously reported CD36 gene decreased release of FVIII by HLECs, while silencing of B3GNT2, CD36, and PDIA3 decreased release of VWF by HVECs. Mendelian randomization supports causal association of higher FVIII and VWF with increased risk of thrombotic outcomes. Seven new loci were identified for FVIII and one for VWF, with evidence supporting causal associations of FVIII and VWF with thrombotic outcomes. B3GNT2, CD36, and PDIA3 modulate the release of FVIII and/or VWF in vitro.}, author = {de Vries, P. S. and Reventun, P. and Brown, M. R. and Heath, A. S. and Huffman, J. E. and Le, N. Q. and Bebo, A. and Brody, J. A. and Temprano-Sagrera, G. and Raffield, L. M. and Ozel, A. B. and Thibord, F. and Jain, D. and Lewis, J. P. and Rodriguez, B. A. T. and Pankratz, N. and Taylor, K. D. and Polasek, O. and Chen, M. H. and Yanek, L. R. and Carrasquilla, G. D. and Marioni, R. and Kleber, M. E. and t, D. A. and Yao, J. and Li-Gao, R. and Joshi, P. K. and Trompet, S. and Martinez-Perez, A. and Ghanbari, M. and Howard, T. E. and Reiner, A. P. and Arvanitis, M. and Ryan, K. A. and Bartz, T. M. and Rudan, I. and Faraday, N. and Linneberg, A. and Ekunwe, L. and Davies, G. and Delgado, G. E. and Suchon, P. and Guo, X. and Rosendaal, F. R. and Klaric, L. and Noordam, R. and van Rooij, F. and Curran, J. E. and Wheeler, M. M. and Osburn, W. O. and O{\textquoteright}Connell, J. R. and Boerwinkle, E. and Beswick, A. and Psaty, B. M. and Kolcic, I. and Souto, J. C. and Becker, L. C. and Hansen, T. and Doyle, M. F. and Harris, S. E. and Moissl, A. P. and Deleuze, J. F. and Rich, S. S. and van Hylckama Vlieg, A. and Campbell, H. and Stott, D. J. and Soria, J. M. and de Maat, M. P. M. and Almasy, L. and Brody, L. C. and Auer, P. L. and Mitchell, B. D. and Ben-Shlomo, Y. and Fornage, M. and Hayward, C. and Mathias, R. A. and inen, T. O. and Lange, L. A. and Cox, S. R. and rz, W. and Morange, P. E. and Rotter, J. I. and Mook-Kanamori, D. O. and Wilson, J. F. and van der Harst, P. and Jukema, J. W. and Ikram, M. A. and Blangero, J. and Kooperberg, C. and Desch, K. C. and Johnson, A. D. and Sabater-Lleal, M. and Lowenstein, C. J. and Smith, N. L. and Morrison, A. C.} } @article {9639, title = {{Genetic associations with dementia-related proteinopathy: Application of item response theory}, journal = {Alzheimers Dement}, year = {2024}, month = {Mar}, abstract = {Although dementia-related proteinopathy has a strong negative impact on public health, and is highly heritable, understanding of the related genetic architecture is incomplete.\ -synuclein, and TDP-43.\ -synuclein/Lewy bodies. Novel suggestive proteinopathy-linked alleles were also discovered, including several (SDHAF1, TMEM68, and ARHGEF28) with colocalization analyses and/or high degrees of biologic credibility.\ A novel methodology using GPCM enabled insights into gene candidates for driving misfolded proteinopathies.\ Latent factor scores for proteinopathies were estimated using a generalized partial credit model. The three latent continuous scores corresponded well with proteinopathy severity. Novel genes associated with proteinopathies were identified. Several genes had high degrees of biologic credibility for dementia risk factors.}, author = {Katsumata, Y. and Fardo, D. W. and Shade, L. M. P. and Wu, X. and Karanth, S. D. and Hohman, T. J. and Schneider, J. A. and Bennett, D. A. and Farfel, J. M. and Gauthreaux, K. and Mock, C. and Kukull, W. A. and Abner, E. L. and Nelson, P. T. and Carrillo, M. and Reiman, E. M. and Chen, K. and Masterman, D. and Green, R. C. and Ho, C. and Fleisher, A. and Saykin, A. J. and Nho, K. and Apostolova, L. G. and Risacher, S. L. and Jackson, J. and Forghanian-Arani, A. and Borowski, B. and Ward, C. and Schwarz, C. and Jack, C. R. and Jones, D. and Gunter, J. and Kantarci, K. and Senjem, M. and Vemuri, P. and Reid, R. and Petersen, R. and Hsiao, J. K. and Potter, W. and Masliah, E. and Hsiao, J. K. and Ryan, L. and Bernard, M. and Silverberg, N. and Kormos, A. and Conti, C. and Veitch, D. and Flenniken, D. and Sacrey, D. T. and Choe, M. and Ashford, M. and Chen, S. R. and Faber, K. and Nudelman, K. and Wilme, K. and Foroud, T. M. and Trojanowki, J. Q. and Shaw, L. M. and Korecka, M. and Figurski, M. and Khachaturian, Z. and Barnes, L. and Malone, I. and Fox, N. C. and Beckett, L. and Weiner, M. W. and Jagust, W. and Landau, S. and Jagust, W. and Knaack, A. and DeCarli, C. and Harvey, D. and Fletcher, E. and Beckett, L. and lez, H. and Jin, C. and Tosun-Turgut, D. and Neuhaus, J. and Fockler, J. and Nosheny, R. and Koeppe, R. A. and Trojanowki, J. Q. and Shaw, L. M. and Yushkevich, P. A. and Das, S. and Mathis, C. and Toga, A. W. and Zimmerman, C. and Gessert, D. and Shcrer, E. and Miller, G. and Coker, G. and Jimenez, G. and Salazar, J. and Pizzola, J. and Crawford, K. and Hergesheimer, L. and Donohue, M. and Rafii, M. and Adegoke, O. and Aisen, P. and Mahboubi, P. and Raman, R. and Walter, S. and Neu, S. and Moore, S. and Smith, S. and Clanton, T. and Cabrera, Y. and Donohue, M. and Jahanshad, N. and Thompson, P. and Thomopoulos, S. I. and Nir, T. M. and Crawford, K. and Montine, T. and Okonkwo, O. and Shen, L. and Perrin, R. and Franklin, E. and Householder, E. and Bernhardt, H. and Morris, J. C. and Taylor-Reinwald, L. and Cairns, N. J. and Perrin, R. J. and Biber, S. and Welsch, J. and Rosentreter, H. and Fair, B. and Young, A. and Hale, B. and Hockens, V. and Buckley, F. and Ida, A. and Xia, J. and Almeda, E. and Stephens, K. A. and Shibata, D. K. and Chan, K. C. G. and Longstreth, W. and Che, Y. C. and Culhane, J. and Miller, Z. and Yasuda, S. and Mooney, S. and Hubbard, J. and Keller, B. and Stark, Z. and Wu, J. and Mcleod, L. and Hewanadungodage, C. and Smith, B.} } @article {9619, title = {Genetic drivers of heterogeneity in type 2 diabetes pathophysiology.}, journal = {Nature}, year = {2024}, month = {2024 Feb 19}, abstract = {

Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes and molecular mechanisms that are often specific to cell type. Here, to characterize the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study data from 2,535,601 individuals (39.7\% not of European ancestry), including 428,452 cases of T2D. We identify 1,289 independent association signals at genome-wide significance (P < 5 {\texttimes} 10) that map to 611 loci, of which 145 loci are, to our knowledge, previously unreported. We define eight non-overlapping clusters of T2D signals that are characterized by distinct profiles of cardiometabolic trait associations. These clusters are differentially enriched for cell-type-specific regions of open chromatin, including pancreatic islets, adipocytes, endothelial cells and enteroendocrine cells. We build cluster-specific partitioned polygenic scores in a further 279,552 individuals of diverse ancestry, including 30,288 cases of T2D, and test their association with T2D-related vascular outcomes. Cluster-specific partitioned polygenic scores are associated with coronary artery disease, peripheral artery disease and end-stage diabetic nephropathy across ancestry groups, highlighting the importance of obesity-related processes in the development of vascular outcomes. Our findings show the value of integrating multi-ancestry genome-wide association study data with single-cell epigenomics to disentangle the aetiological heterogeneity that drives the development and progression of T2D. This might offer a route to optimize global access to genetically informed diabetes care.

}, issn = {1476-4687}, doi = {10.1038/s41586-024-07019-6}, author = {Suzuki, Ken and Hatzikotoulas, Konstantinos and Southam, Lorraine and Taylor, Henry J and Yin, Xianyong and Lorenz, Kim M and Mandla, Ravi and Huerta-Chagoya, Alicia and Melloni, Giorgio E M and Kanoni, Stavroula and Rayner, Nigel W and Bocher, Ozvan and Arruda, Ana Luiza and Sonehara, Kyuto and Namba, Shinichi and Lee, Simon S K and Preuss, Michael H and Petty, Lauren E and Schroeder, Philip and Vanderwerff, Brett and Kals, Mart and Bragg, Fiona and Lin, Kuang and Guo, Xiuqing and Zhang, Weihua and Yao, Jie and Kim, Young Jin and Graff, Mariaelisa and Takeuchi, Fumihiko and Nano, Jana and Lamri, Amel and Nakatochi, Masahiro and Moon, Sanghoon and Scott, Robert A and Cook, James P and Lee, Jung-Jin and Pan, Ian and Taliun, Daniel and Parra, Esteban J and Chai, Jin-Fang and Bielak, Lawrence F and Tabara, Yasuharu and Hai, Yang and Thorleifsson, Gudmar and Grarup, Niels and Sofer, Tamar and Wuttke, Matthias and Sarnowski, Chloe and Gieger, Christian and Nousome, Darryl and Trompet, Stella and Kwak, Soo-Heon and Long, Jirong and Sun, Meng and Tong, Lin and Chen, Wei-Min and Nongmaithem, Suraj S and Noordam, Raymond and Lim, Victor J Y and Tam, Claudia H T and Joo, Yoonjung Yoonie and Chen, Chien-Hsiun and Raffield, Laura M and Prins, Bram Peter and Nicolas, Aude and Yanek, Lisa R and Chen, Guanjie and Brody, Jennifer A and Kabagambe, Edmond and An, Ping and Xiang, Anny H and Choi, Hyeok Sun and Cade, Brian E and Tan, Jingyi and Broadaway, K Alaine and Williamson, Alice and Kamali, Zoha and Cui, Jinrui and Thangam, Manonanthini and Adair, Linda S and Adeyemo, Adebowale and Aguilar-Salinas, Carlos A and Ahluwalia, Tarunveer S and Anand, Sonia S and Bertoni, Alain and Bork-Jensen, Jette and Brandslund, Ivan and Buchanan, Thomas A and Burant, Charles F and Butterworth, Adam S and Canouil, Micka{\"e}l and Chan, Juliana C N and Chang, Li-Ching and Chee, Miao-Li and Chen, Ji and Chen, Shyh-Huei and Chen, Yuan-Tsong and Chen, Zhengming and Chuang, Lee-Ming and Cushman, Mary and Danesh, John and Das, Swapan K and de Silva, H Janaka and Dedoussis, George and Dimitrov, Latchezar and Doumatey, Ayo P and Du, Shufa and Duan, Qing and Eckardt, Kai-Uwe and Emery, Leslie S and Evans, Daniel S and Evans, Michele K and Fischer, Krista and Floyd, James S and Ford, Ian and Franco, Oscar H and Frayling, Timothy M and Freedman, Barry I and Genter, Pauline and Gerstein, Hertzel C and Giedraitis, Vilmantas and Gonz{\'a}lez-Villalpando, Clicerio and Gonzalez-Villalpando, Maria Elena and Gordon-Larsen, Penny and Gross, Myron and Guare, Lindsay A and Hackinger, Sophie and Hakaste, Liisa and Han, Sohee and Hattersley, Andrew T and Herder, Christian and Horikoshi, Momoko and Howard, Annie-Green and Hsueh, Willa and Huang, Mengna and Huang, Wei and Hung, Yi-Jen and Hwang, Mi Yeong and Hwu, Chii-Min and Ichihara, Sahoko and Ikram, Mohammad Arfan and Ingelsson, Martin and Islam, Md Tariqul and Isono, Masato and Jang, Hye-Mi and Jasmine, Farzana and Jiang, Guozhi and Jonas, Jost B and J{\o}rgensen, Torben and Kamanu, Frederick K and Kandeel, Fouad R and Kasturiratne, Anuradhani and Katsuya, Tomohiro and Kaur, Varinderpal and Kawaguchi, Takahisa and Keaton, Jacob M and Kho, Abel N and Khor, Chiea-Chuen and Kibriya, Muhammad G and Kim, Duk-Hwan and Kronenberg, Florian and Kuusisto, Johanna and L{\"a}ll, Kristi and Lange, Leslie A and Lee, Kyung Min and Lee, Myung-Shik and Lee, Nanette R and Leong, Aaron and Li, Liming and Li, Yun and Li-Gao, Ruifang and Ligthart, Symen and Lindgren, Cecilia M and Linneberg, Allan and Liu, Ching-Ti and Liu, Jianjun and Locke, Adam E and Louie, Tin and Luan, Jian{\textquoteright}an and Luk, Andrea O and Luo, Xi and Lv, Jun and Lynch, Julie A and Lyssenko, Valeriya and Maeda, Shiro and Mamakou, Vasiliki and Mansuri, Sohail Rafik and Matsuda, Koichi and Meitinger, Thomas and Melander, Olle and Metspalu, Andres and Mo, Huan and Morris, Andrew D and Moura, Filipe A and Nadler, Jerry L and Nalls, Michael A and Nayak, Uma and Ntalla, Ioanna and Okada, Yukinori and Orozco, Lorena and Patel, Sanjay R and Patil, Snehal and Pei, Pei and Pereira, Mark A and Peters, Annette and Pirie, Fraser J and Polikowsky, Hannah G and Porneala, Bianca and Prasad, Gauri and Rasmussen-Torvik, Laura J and Reiner, Alexander P and Roden, Michael and Rohde, Rebecca and Roll, Katheryn and Sabanayagam, Charumathi and Sandow, Kevin and Sankareswaran, Alagu and Sattar, Naveed and Sch{\"o}nherr, Sebastian and Shahriar, Mohammad and Shen, Botong and Shi, Jinxiu and Shin, Dong Mun and Shojima, Nobuhiro and Smith, Jennifer A and So, Wing Yee and Stan{\v c}{\'a}kov{\'a}, Alena and Steinthorsdottir, Valgerdur and Stilp, Adrienne M and Strauch, Konstantin and Taylor, Kent D and Thorand, Barbara and Thorsteinsdottir, Unnur and Tomlinson, Brian and Tran, Tam C and Tsai, Fuu-Jen and Tuomilehto, Jaakko and Tusi{\'e}-Luna, Teresa and Udler, Miriam S and Valladares-Salgado, Adan and van Dam, Rob M and van Klinken, Jan B and Varma, Rohit and Wacher-Rodarte, Niels and Wheeler, Eleanor and Wickremasinghe, Ananda R and van Dijk, Ko Willems and Witte, Daniel R and Yajnik, Chittaranjan S and Yamamoto, Ken and Yamamoto, Kenichi and Yoon, Kyungheon and Yu, Canqing and Yuan, Jian-Min and Yusuf, Salim and Zawistowski, Matthew and Zhang, Liang and Zheng, Wei and Raffel, Leslie J and Igase, Michiya and Ipp, Eli and Redline, Susan and Cho, Yoon Shin and Lind, Lars and Province, Michael A and Fornage, Myriam and Hanis, Craig L and Ingelsson, Erik and Zonderman, Alan B and Psaty, Bruce M and Wang, Ya-Xing and Rotimi, Charles N and Becker, Diane M and Matsuda, Fumihiko and Liu, Yongmei and Yokota, Mitsuhiro and Kardia, Sharon L R and Peyser, Patricia A and Pankow, James S and Engert, James C and Bonnefond, Am{\'e}lie and Froguel, Philippe and Wilson, James G and Sheu, Wayne H H and Wu, Jer-Yuarn and Hayes, M Geoffrey and Ma, Ronald C W and Wong, Tien-Yin and Mook-Kanamori, Dennis O and Tuomi, Tiinamaija and Chandak, Giriraj R and Collins, Francis S and Bharadwaj, Dwaipayan and Par{\'e}, Guillaume and Sale, Mich{\`e}le M and Ahsan, Habibul and Motala, Ayesha A and Shu, Xiao-Ou and Park, Kyong-Soo and Jukema, J Wouter and Cruz, Miguel and Chen, Yii-Der Ida and Rich, Stephen S and McKean-Cowdin, Roberta and Grallert, Harald and Cheng, Ching-Yu and Ghanbari, Mohsen and Tai, E-Shyong and Dupuis, Jos{\'e}e and Kato, Norihiro and Laakso, Markku and K{\"o}ttgen, Anna and Koh, Woon-Puay and Bowden, Donald W and Palmer, Colin N A and Kooner, Jaspal S and Kooperberg, Charles and Liu, Simin and North, Kari E and Saleheen, Danish and Hansen, Torben and Pedersen, Oluf and Wareham, Nicholas J and Lee, Juyoung and Kim, Bong-Jo and Millwood, Iona Y and Walters, Robin G and Stefansson, Kari and Ahlqvist, Emma and Goodarzi, Mark O and Mohlke, Karen L and Langenberg, Claudia and Haiman, Christopher A and Loos, Ruth J F and Florez, Jose C and Rader, Daniel J and Ritchie, Marylyn D and Z{\"o}llner, Sebastian and M{\"a}gi, Reedik and Marston, Nicholas A and Ruff, Christian T and van Heel, David A and Finer, Sarah and Denny, Joshua C and Yamauchi, Toshimasa and Kadowaki, Takashi and Chambers, John C and Ng, Maggie C Y and Sim, Xueling and Below, Jennifer E and Tsao, Philip S and Chang, Kyong-Mi and McCarthy, Mark I and Meigs, James B and Mahajan, Anubha and Spracklen, Cassandra N and Mercader, Josep M and Boehnke, Michael and Rotter, Jerome I and Vujkovic, Marijana and Voight, Benjamin F and Morris, Andrew P and Zeggini, Eleftheria} } @article {9576, title = {{Genome-wide association study of preserved ratio impaired spirometry (PRISm)}, journal = {Eur Respir J}, volume = {63}, year = {2024}, month = {Jan}, abstract = {{0.70. PRISm is associated with respiratory symptoms and comorbidities. Our objective was to discover novel genetic signals for PRISm and see if they provide insight into the pathogenesis of PRISm and associated comorbidities.\ We undertook a genome-wide association study (GWAS) of PRISm in UK Biobank participants (Stage 1), and selected single nucleotide polymorphisms (SNPs) reaching genome-wide significance for replication in 13 cohorts (Stage 2). A combined meta-analysis of Stage 1 and Stage 2 was done to determine top SNPs. We used cross-trait linkage disequilibrium score regression to estimate genome-wide genetic correlation between PRISm and pulmonary and extrapulmonary traits. Phenome-wide association studies of top SNPs were performed.\ =0.12}, author = {Higbee, D. H. and Lirio, A. and Hamilton, F. and Granell, R. and Wyss, A. B. and London, S. J. and Bartz, T. M. and Gharib, S. A. and Cho, M. H. and Wan, E. and Silverman, E. and Crapo, J. D. and Lominchar, J. V. T. and Hansen, T. and Grarup, N. and Dantoft, T. and rhus, L. and Linneberg, A. and O{\textquoteright}Connor, G. T. and Dupuis, J. and Xu, H. and De Vries, M. M. and Hu, X. and Rich, S. S. and Barr, R. G. and Manichaikul, A. and Wijnant, S. R. A. and Brusselle, G. G. and Lahousse, L. and Li, X. and ndez Cordero, A. I. and Obeidat, M. and Sin, D. D. and Harris, S. E. and Redmond, P. and Taylor, A. M. and Cox, S. R. and Williams, A. T. and Shrine, N. and John, C. and Guyatt, A. L. and Hall, I. P. and Davey Smith, G. and Tobin, M. D. and Dodd, J. W.} } @article {9648, title = {The Gut Microbial Metabolite Trimethylamine N-oxide, Incident CKD, and Kidney Function Decline.}, journal = {J Am Soc Nephrol}, year = {2024}, month = {2024 Apr 09}, abstract = {

BACKGROUND: Trimethylamine N-oxide (TMAO) is a gut microbiota-derived metabolite of dietary phosphatidylcholine and carnitine. Experimentally, TMAO causes kidney injury and tubulointerstitial fibrosis. Little is known about prospective associations between TMAO and kidney outcomes, especially incident CKD. We hypothesized that higher plasma TMAO levels would be associated with higher risk of incident CKD and greater rate of kidney function decline.

METHODS: We included 10,564 participants from two community-based, prospective cohorts with estimated glomerular filtration rate (eGFR) >= 60 mL/min/1.73m2 to assess incident CKD. TMAO was measured using targeted mass spectrometry at baseline and one follow-up visit. Creatinine and Cystatin C were measured up to 4 times during follow-up and used to compute eGFR. Incident CKD was defined as an eGFR decline >= 30\% from baseline and a resulting eGFR<60 ml/min/1.73 m2. Time-varying Cox models assessed the association of serial TMAO measures with incident CKD, adjusting for sociodemographic, lifestyle, diet, and cardiovascular disease risk factors. Linear mixed models assessed the association with annualized eGFR change in 10,009 participants with at least one follow-up eGFR measure without exclusions for baseline eGFR levels.

RESULTS: During a median follow-up of 9.4 years (interquartile range: 9.1-11.6 years), 979 incident CKD events occurred. Higher TMAO levels associated with higher risk of incident CKD (2nd to 5th vs. 1st quintile HR[95\%CI]= 1.65 [1.22-2.23], 1.68 [1.26-2.25], 2.28 [1.72-3.02], and 2.24[1.68-2.98], respectively) and greater annualized eGFR decline ( 2nd to 5th vs. 1st quintile annualized eGFR change= -0.21 [-0.32, -0.09], -0.17 [-0.29, -0.05], -0.35 [-0.47, -0.22], and -0.43[-0.56, -0.30], respectively) with monotonic dose-response relationships. These associations were consistent across different racial/ethnic groups examined. The association with eGFR decline was similar to or larger than that seen for established CKD risk factors including diabetes, per 10 mmHg of higher systolic blood pressure, per 10 years of older age, and Black race.

CONCLUSIONS: In community-based US adults, higher serial measures of plasma TMAO were associated with higher risk of incident CKD and greater annualized kidney function decline.

}, issn = {1533-3450}, doi = {10.1681/ASN.0000000000000344}, author = {Wang, Meng and Tang, W H Wilson and Li, Xinmin S and de Oliveira Otto, Marcia C and Lee, Yujin and Lemaitre, Rozenn N and Fretts, Amanda and Nemet, Ina and Sotoodehnia, Nona and Sitlani, Colleen M and Budoff, Matthew and DiDonato, Joseph A and Wang, Zeneng and Bansal, Nisha and Shlipak, Michael G and Psaty, Bruce M and Siscovick, David S and Sarnak, Mark J and Mozaffarian, Dariush and Hazen, Stanley L} }