@article {821, title = {Association between screening for osteoporosis and the incidence of hip fracture.}, journal = {Ann Intern Med}, volume = {142}, year = {2005}, month = {2005 Feb 01}, pages = {173-81}, abstract = {

BACKGROUND: Because direct evidence for the effectiveness of screening is lacking, guidelines disagree on whether people should be screened for osteoporosis.

OBJECTIVE: To determine whether population-based screening for osteoporosis in older adults is associated with fewer incident hip fractures than usual medical care.

DESIGN: Nonconcurrent cohort study.

SETTING: Population-based cohort enrolled in the Cardiovascular Health Study (CHS) from 4 states (California, Pennsylvania, Maryland, and North Carolina).

PATIENTS: 3107 adults 65 years of age and older who attended their CHS study visits in 1994-1995.

MEASUREMENTS: 31 participant characteristics (including demographic characteristics, medical histories, medications, and physical examination findings) and incident hip fractures over 6 years of follow-up.

INTERVENTION: Bone density scans (dual-energy x-ray absorptiometry [DEXA] at the hip) for participants in California and Pennsylvania (n = 1422) and usual care for participants in Maryland and North Carolina (n = 1685).

RESULTS: The incidence of hip fractures per 1000 person-years was 4.8 in the screened group and 8.2 in the usual care group. Screening was associated with a statistically significant lower hazard of hip fracture than usual care after adjustment for sex and propensity to be screened (Cox proportional hazard ratio, 0.64 [95\% CI, 0.41 to 0.99]).

LIMITATIONS: The mechanism of the association was unclear. A small unmeasured confounder that decreased the hazard of hip fracture could diminish or erase the observed association.

CONCLUSIONS: Use of hip DEXA scans to screen for osteoporosis in older adults was associated with 36\% fewer incident hip fractures over 6 years compared with usual medical care. Further research is needed to explore the mechanism of this association.

}, keywords = {Absorptiometry, Photon, Aged, Aged, 80 and over, Cohort Studies, Female, Hip Fractures, Humans, Incidence, Male, Mass Screening, Osteoporosis, Risk Factors, Sensitivity and Specificity}, issn = {1539-3704}, doi = {10.7326/0003-4819-142-3-200502010-00007}, author = {Kern, Lisa M and Powe, Neil R and Levine, Michael A and Fitzpatrick, Annette L and Harris, Tamara B and Robbins, John and Fried, Linda P} } @article {817, title = {Population structure, admixture, and aging-related phenotypes in African American adults: the Cardiovascular Health Study.}, journal = {Am J Hum Genet}, volume = {76}, year = {2005}, month = {2005 Mar}, pages = {463-77}, abstract = {

U.S. populations are genetically admixed, but surprisingly little empirical data exists documenting the impact of such heterogeneity on type I and type II error in genetic-association studies of unrelated individuals. By applying several complementary analytical techniques, we characterize genetic background heterogeneity among 810 self-identified African American subjects sampled as part of a multisite cohort study of cardiovascular disease in older adults. On the basis of the typing of 24 ancestry-informative biallelic single-nucleotide-polymorphism markers, there was evidence of substantial population substructure and admixture. We used an allele-sharing-based clustering algorithm to infer evidence for four genetically distinct subpopulations. Using multivariable regression models, we demonstrate the complex interplay of genetic and socioeconomic factors on quantitative phenotypes related to cardiovascular disease and aging. Blood glucose level correlated with individual African ancestry, whereas body mass index was associated more strongly with genetic similarity. Blood pressure, HDL cholesterol level, C-reactive protein level, and carotid wall thickness were not associated with genetic background. Blood pressure and HDL cholesterol level varied by geographic site, whereas C-reactive protein level differed by occupation. Both ancestry and genetic similarity predicted the number and quality of years lived during follow-up, but socioeconomic factors largely accounted for these associations. When the 24 genetic markers were tested individually, there were an excess number of marker-trait associations, most of which were attenuated by adjustment for genetic ancestry. We conclude that the genetic demography underlying older individuals who self identify as African American is complex, and that controlling for both genetic admixture and socioeconomic characteristics will be required in assessing genetic associations with chronic-disease-related traits in African Americans. Complementary methods that identify discrete subgroups on the basis of genetic similarity may help to further characterize the complex biodemographic structure of human populations.

}, keywords = {African Americans, Aged, Aging, Algorithms, Cardiovascular Diseases, Cohort Studies, Female, Genetics, Population, Genotype, Humans, Male, Models, Genetic, Phenotype, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Risk Factors, Socioeconomic Factors}, issn = {0002-9297}, doi = {10.1086/428654}, author = {Reiner, Alexander P and Ziv, Elad and Lind, Denise L and Nievergelt, Caroline M and Schork, Nicholas J and Cummings, Steven R and Phong, Angie and Burchard, Esteban Gonz{\'a}lez and Harris, Tamara B and Psaty, Bruce M and Kwok, Pui-Yan} } @article {1152, title = {Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium: Design of prospective meta-analyses of genome-wide association studies from 5 cohorts.}, journal = {Circ Cardiovasc Genet}, volume = {2}, year = {2009}, month = {2009 Feb}, pages = {73-80}, abstract = {

BACKGROUND: The primary aim of genome-wide association studies is to identify novel genetic loci associated with interindividual variation in the levels of risk factors, the degree of subclinical disease, or the risk of clinical disease. The requirement for large sample sizes and the importance of replication have served as powerful incentives for scientific collaboration. Methods- The Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium was formed to facilitate genome-wide association studies meta-analyses and replication opportunities among multiple large population-based cohort studies, which collect data in a standardized fashion and represent the preferred method for estimating disease incidence. The design of the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium includes 5 prospective cohort studies from the United States and Europe: the Age, Gene/Environment Susceptibility-Reykjavik Study, the Atherosclerosis Risk in Communities Study, the Cardiovascular Health Study, the Framingham Heart Study, and the Rotterdam Study. With genome-wide data on a total of about 38 000 individuals, these cohort studies have a large number of health-related phenotypes measured in similar ways. For each harmonized trait, within-cohort genome-wide association study analyses are combined by meta-analysis. A prospective meta-analysis of data from all 5 cohorts, with a properly selected level of genome-wide statistical significance, is a powerful approach to finding genuine phenotypic associations with novel genetic loci.

CONCLUSIONS: The Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium and collaborating non-member studies or consortia provide an excellent framework for the identification of the genetic determinants of risk factors, subclinical-disease measures, and clinical events.

}, keywords = {Adult, Aged, Aging, Cohort Studies, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Heart Diseases, Humans, Male, Meta-Analysis as Topic, Middle Aged, Phenotype, Research Design, Risk Factors}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.108.829747}, author = {Psaty, Bruce M and O{\textquoteright}Donnell, Christopher J and Gudnason, Vilmundur and Lunetta, Kathryn L and Folsom, Aaron R and Rotter, Jerome I and Uitterlinden, Andr{\'e} G and Harris, Tamara B and Witteman, Jacqueline C M and Boerwinkle, Eric} } @article {1099, title = {Multiple loci associated with indices of renal function and chronic kidney disease.}, journal = {Nat Genet}, volume = {41}, year = {2009}, month = {2009 Jun}, pages = {712-7}, abstract = {

Chronic kidney disease (CKD) has a heritable component and is an important global public health problem because of its high prevalence and morbidity. We conducted genome-wide association studies (GWAS) to identify susceptibility loci for glomerular filtration rate, estimated by serum creatinine (eGFRcrea) and cystatin C (eGFRcys), and CKD (eGFRcrea < 60 ml/min/1.73 m(2)) in European-ancestry participants of four population-based cohorts (ARIC, CHS, FHS, RS; n = 19,877; 2,388 CKD cases), and tested for replication in 21,466 participants (1,932 CKD cases). We identified significant SNP associations (P < 5 {\texttimes} 10(-8)) with CKD at the UMOD locus, with eGFRcrea at UMOD, SHROOM3 and GATM-SPATA5L1, and with eGFRcys at CST and STC1. UMOD encodes the most common protein in human urine, Tamm-Horsfall protein, and rare mutations in UMOD cause mendelian forms of kidney disease. Our findings provide new insights into CKD pathogenesis and underscore the importance of common genetic variants influencing renal function and disease.

}, keywords = {Chromosome Mapping, Cohort Studies, Genetic Variation, Genome-Wide Association Study, Glomerular Filtration Rate, Humans, Kidney, Kidney Failure, Chronic, Meta-Analysis as Topic, Mucoproteins, Netherlands, Polymorphism, Single Nucleotide, Prevalence, Uromodulin}, issn = {1546-1718}, doi = {10.1038/ng.377}, author = {K{\"o}ttgen, Anna and Glazer, Nicole L and Dehghan, Abbas and Hwang, Shih-Jen and Katz, Ronit and Li, Man and Yang, Qiong and Gudnason, Vilmundur and Launer, Lenore J and Harris, Tamara B and Smith, Albert V and Arking, Dan E and Astor, Brad C and Boerwinkle, Eric and Ehret, Georg B and Ruczinski, Ingo and Scharpf, Robert B and Chen, Yii-Der Ida and de Boer, Ian H and Haritunians, Talin and Lumley, Thomas and Sarnak, Mark and Siscovick, David and Benjamin, Emelia J and Levy, Daniel and Upadhyay, Ashish and Aulchenko, Yurii S and Hofman, Albert and Rivadeneira, Fernando and Uitterlinden, Andr{\'e} G and van Duijn, Cornelia M and Chasman, Daniel I and Par{\'e}, Guillaume and Ridker, Paul M and Kao, W H Linda and Witteman, Jacqueline C and Coresh, Josef and Shlipak, Michael G and Fox, Caroline S} } @article {1141, title = {Multiple loci influence erythrocyte phenotypes in the CHARGE Consortium.}, journal = {Nat Genet}, volume = {41}, year = {2009}, month = {2009 Nov}, pages = {1191-8}, abstract = {

Measurements of erythrocytes within the blood are important clinical traits and can indicate various hematological disorders. We report here genome-wide association studies (GWAS) for six erythrocyte traits, including hemoglobin concentration (Hb), hematocrit (Hct), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC) and red blood cell count (RBC). We performed an initial GWAS in cohorts of the CHARGE Consortium totaling 24,167 individuals of European ancestry and replication in additional independent cohorts of the HaemGen Consortium totaling 9,456 individuals. We identified 23 loci significantly associated with these traits in a meta-analysis of the discovery and replication cohorts (combined P values ranging from 5 x 10(-8) to 7 x 10(-86)). Our findings include loci previously associated with these traits (HBS1L-MYB, HFE, TMPRSS6, TFR2, SPTA1) as well as new associations (EPO, TFRC, SH2B3 and 15 other loci). This study has identified new determinants of erythrocyte traits, offering insight into common variants underlying variation in erythrocyte measures.

}, keywords = {Blood Pressure, Cell Line, Cohort Studies, Endothelial Cells, Erythrocytes, Gene Expression, Genome, Human, Genome-Wide Association Study, Humans, Hypertension, Phenotype, Polymorphism, Single Nucleotide, Quantitative Trait Loci}, issn = {1546-1718}, doi = {10.1038/ng.466}, author = {Ganesh, Santhi K and Zakai, Neil A and van Rooij, Frank J A and Soranzo, Nicole and Smith, Albert V and Nalls, Michael A and Chen, Ming-Huei and K{\"o}ttgen, Anna and Glazer, Nicole L and Dehghan, Abbas and Kuhnel, Brigitte and Aspelund, Thor and Yang, Qiong and Tanaka, Toshiko and Jaffe, Andrew and Bis, Joshua C M and Verwoert, Germaine C and Teumer, Alexander and Fox, Caroline S and Guralnik, Jack M and Ehret, Georg B and Rice, Kenneth and Felix, Janine F and Rendon, Augusto and Eiriksdottir, Gudny and Levy, Daniel and Patel, Kushang V and Boerwinkle, Eric and Rotter, Jerome I and Hofman, Albert and Sambrook, Jennifer G and Hernandez, Dena G and Zheng, Gang and Bandinelli, Stefania and Singleton, Andrew B and Coresh, Josef and Lumley, Thomas and Uitterlinden, Andr{\'e} G and Vangils, Janine M and Launer, Lenore J and Cupples, L Adrienne and Oostra, Ben A and Zwaginga, Jaap-Jan and Ouwehand, Willem H and Thein, Swee-Lay and Meisinger, Christa and Deloukas, Panos and Nauck, Matthias and Spector, Tim D and Gieger, Christian and Gudnason, Vilmundur and van Duijn, Cornelia M and Psaty, Bruce M and Ferrucci, Luigi and Chakravarti, Aravinda and Greinacher, Andreas and O{\textquoteright}Donnell, Christopher J and Witteman, Jacqueline C M and Furth, Susan and Cushman, Mary and Harris, Tamara B and Lin, Jing-Ping} } @article {1107, title = {NRXN3 is a novel locus for waist circumference: a genome-wide association study from the CHARGE Consortium.}, journal = {PLoS Genet}, volume = {5}, year = {2009}, month = {2009 Jun}, pages = {e1000539}, abstract = {

Central abdominal fat is a strong risk factor for diabetes and cardiovascular disease. To identify common variants influencing central abdominal fat, we conducted a two-stage genome-wide association analysis for waist circumference (WC). In total, three loci reached genome-wide significance. In stage 1, 31,373 individuals of Caucasian descent from eight cohort studies confirmed the role of FTO and MC4R and identified one novel locus associated with WC in the neurexin 3 gene [NRXN3 (rs10146997, p = 6.4x10(-7))]. The association with NRXN3 was confirmed in stage 2 by combining stage 1 results with those from 38,641 participants in the GIANT consortium (p = 0.009 in GIANT only, p = 5.3x10(-8) for combined analysis, n = 70,014). Mean WC increase per copy of the G allele was 0.0498 z-score units (0.65 cm). This SNP was also associated with body mass index (BMI) [p = 7.4x10(-6), 0.024 z-score units (0.10 kg/m(2)) per copy of the G allele] and the risk of obesity (odds ratio 1.13, 95\% CI 1.07-1.19; p = 3.2x10(-5) per copy of the G allele). The NRXN3 gene has been previously implicated in addiction and reward behavior, lending further evidence that common forms of obesity may be a central nervous system-mediated disorder. Our findings establish that common variants in NRXN3 are associated with WC, BMI, and obesity.

}, keywords = {Aged, Body Mass Index, Cohort Studies, European Continental Ancestry Group, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Middle Aged, Nerve Tissue Proteins, Obesity, Polymorphism, Single Nucleotide, Waist Circumference}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1000539}, author = {Heard-Costa, Nancy L and Zillikens, M Carola and Monda, Keri L and Johansson, Asa and Harris, Tamara B and Fu, Mao and Haritunians, Talin and Feitosa, Mary F and Aspelund, Thor and Eiriksdottir, Gudny and Garcia, Melissa and Launer, Lenore J and Smith, Albert V and Mitchell, Braxton D and McArdle, Patrick F and Shuldiner, Alan R and Bielinski, Suzette J and Boerwinkle, Eric and Brancati, Fred and Demerath, Ellen W and Pankow, James S and Arnold, Alice M and Chen, Yii-Der Ida and Glazer, Nicole L and McKnight, Barbara and Psaty, Bruce M and Rotter, Jerome I and Amin, Najaf and Campbell, Harry and Gyllensten, Ulf and Pattaro, Cristian and Pramstaller, Peter P and Rudan, Igor and Struchalin, Maksim and Vitart, Veronique and Gao, Xiaoyi and Kraja, Aldi and Province, Michael A and Zhang, Qunyuan and Atwood, Larry D and Dupuis, Jos{\'e}e and Hirschhorn, Joel N and Jaquish, Cashell E and O{\textquoteright}Donnell, Christopher J and Vasan, Ramachandran S and White, Charles C and Aulchenko, Yurii S and Estrada, Karol and Hofman, Albert and Rivadeneira, Fernando and Uitterlinden, Andr{\'e} G and Witteman, Jacqueline C M and Oostra, Ben A and Kaplan, Robert C and Gudnason, Vilmundur and O{\textquoteright}Connell, Jeffrey R and Borecki, Ingrid B and van Duijn, Cornelia M and Cupples, L Adrienne and Fox, Caroline S and North, Kari E} } @article {1124, title = {Total and cause-specific mortality in the cardiovascular health study.}, journal = {J Gerontol A Biol Sci Med Sci}, volume = {64}, year = {2009}, month = {2009 Dec}, pages = {1251-61}, abstract = {

BACKGROUND: Few cohort studies have adequate numbers of carefully reviewed deaths to allow an analysis of unique and shared risk factors for cause-specific mortality. Shared risk factors could be targeted for prevention of premature death and the study of longevity.

METHODS: A total of 5,888 community-dwelling persons aged 65 years or older living in four communities in the United States participated in the Cardiovascular Health Study cohort. Participants were initially recruited from 1989 to 1990; an additional 687 black participants were recruited in 1992-1993. The average length of follow-up was 16 years. Total and cause-specific mortality, including cardiovascular disease, stroke, cancer, dementia, pulmonary disease, infection, and other cause, were examined as outcomes. Variables previously associated with total mortality were examined for each cause of death using Cox proportional hazard models.

RESULTS: Multiple risk factors were related to total mortality. When examining specific causes, many factors were related to cardiovascular death, whereas fewer were related to other causes. For most causes, risk factors were specific for that cause. For example, apolipoprotein E epsilon4 was strongly associated for dementia death and forced vital capacity with pulmonary death. Age, male sex, markers of inflammation, and cognitive function were related to multiple causes of death.

CONCLUSIONS: In these older adults, associations of risk factors with a given cause of death were related to specific deficits in that same organ system. Inflammation may represent a common pathway to all causes of death.

}, keywords = {Age Factors, Aged, Aged, 80 and over, Aging, Cardiovascular Diseases, Cause of Death, Chronic Disease, Cohort Studies, Female, Geriatric Assessment, Health Surveys, Humans, Kaplan-Meier Estimate, Male, Probability, Proportional Hazards Models, Retrospective Studies, Risk Assessment, Severity of Illness Index, Sex Factors, Survival Analysis, United States}, issn = {1758-535X}, doi = {10.1093/gerona/glp127}, author = {Newman, Anne B and Sachs, Michael C and Arnold, Alice M and Fried, Linda P and Kronmal, Richard and Cushman, Mary and Psaty, Bruce M and Harris, Tamara B and Robbins, John A and Burke, Gregory L and Kuller, Lewis H and Lumley, Thomas} } @article {1204, title = {Common genetic determinants of vitamin D insufficiency: a genome-wide association study.}, journal = {Lancet}, volume = {376}, year = {2010}, month = {2010 Jul 17}, pages = {180-8}, abstract = {

BACKGROUND: Vitamin D is crucial for maintenance of musculoskeletal health, and might also have a role in extraskeletal tissues. Determinants of circulating 25-hydroxyvitamin D concentrations include sun exposure and diet, but high heritability suggests that genetic factors could also play a part. We aimed to identify common genetic variants affecting vitamin D concentrations and risk of insufficiency.

METHODS: We undertook a genome-wide association study of 25-hydroxyvitamin D concentrations in 33 996 individuals of European descent from 15 cohorts. Five epidemiological cohorts were designated as discovery cohorts (n=16 125), five as in-silico replication cohorts (n=9367), and five as de-novo replication cohorts (n=8504). 25-hydroxyvitamin D concentrations were measured by radioimmunoassay, chemiluminescent assay, ELISA, or mass spectrometry. Vitamin D insufficiency was defined as concentrations lower than 75 nmol/L or 50 nmol/L. We combined results of genome-wide analyses across cohorts using Z-score-weighted meta-analysis. Genotype scores were constructed for confirmed variants.

FINDINGS: Variants at three loci reached genome-wide significance in discovery cohorts for association with 25-hydroxyvitamin D concentrations, and were confirmed in replication cohorts: 4p12 (overall p=1.9x10(-109) for rs2282679, in GC); 11q12 (p=2.1x10(-27) for rs12785878, near DHCR7); and 11p15 (p=3.3x10(-20) for rs10741657, near CYP2R1). Variants at an additional locus (20q13, CYP24A1) were genome-wide significant in the pooled sample (p=6.0x10(-10) for rs6013897). Participants with a genotype score (combining the three confirmed variants) in the highest quartile were at increased risk of having 25-hydroxyvitamin D concentrations lower than 75 nmol/L (OR 2.47, 95\% CI 2.20-2.78, p=2.3x10(-48)) or lower than 50 nmol/L (1.92, 1.70-2.16, p=1.0x10(-26)) compared with those in the lowest quartile.

INTERPRETATION: Variants near genes involved in cholesterol synthesis, hydroxylation, and vitamin D transport affect vitamin D status. Genetic variation at these loci identifies individuals who have substantially raised risk of vitamin D insufficiency.

FUNDING: Full funding sources listed at end of paper (see Acknowledgments).

}, keywords = {Canada, Chromosomes, Human, Pair 11, Chromosomes, Human, Pair 4, Cohort Studies, Dietary Supplements, Europe, European Continental Ancestry Group, Genetic Predisposition to Disease, Genome-Wide Association Study, Heterozygote, Homozygote, Humans, Immunoassay, International Cooperation, Linkage Disequilibrium, Polymorphism, Single Nucleotide, Seasons, United States, Vitamin D, Vitamin D Deficiency}, issn = {1474-547X}, doi = {10.1016/S0140-6736(10)60588-0}, author = {Wang, Thomas J and Zhang, Feng and Richards, J Brent and Kestenbaum, Bryan and van Meurs, Joyce B and Berry, Diane and Kiel, Douglas P and Streeten, Elizabeth A and Ohlsson, Claes and Koller, Daniel L and Peltonen, Leena and Cooper, Jason D and O{\textquoteright}Reilly, Paul F and Houston, Denise K and Glazer, Nicole L and Vandenput, Liesbeth and Peacock, Munro and Shi, Julia and Rivadeneira, Fernando and McCarthy, Mark I and Anneli, Pouta and de Boer, Ian H and Mangino, Massimo and Kato, Bernet and Smyth, Deborah J and Booth, Sarah L and Jacques, Paul F and Burke, Greg L and Goodarzi, Mark and Cheung, Ching-Lung and Wolf, Myles and Rice, Kenneth and Goltzman, David and Hidiroglou, Nick and Ladouceur, Martin and Wareham, Nicholas J and Hocking, Lynne J and Hart, Deborah and Arden, Nigel K and Cooper, Cyrus and Malik, Suneil and Fraser, William D and Hartikainen, Anna-Liisa and Zhai, Guangju and Macdonald, Helen M and Forouhi, Nita G and Loos, Ruth J F and Reid, David M and Hakim, Alan and Dennison, Elaine and Liu, Yongmei and Power, Chris and Stevens, Helen E and Jaana, Laitinen and Vasan, Ramachandran S and Soranzo, Nicole and Bojunga, J{\"o}rg and Psaty, Bruce M and Lorentzon, Mattias and Foroud, Tatiana and Harris, Tamara B and Hofman, Albert and Jansson, John-Olov and Cauley, Jane A and Uitterlinden, Andr{\'e} G and Gibson, Quince and Jarvelin, Marjo-Riitta and Karasik, David and Siscovick, David S and Econs, Michael J and Kritchevsky, Stephen B and Florez, Jose C and Todd, John A and Dupuis, Jos{\'e}e and Hypp{\"o}nen, Elina and Spector, Timothy D} } @article {1170, title = {Common variants in KCNN3 are associated with lone atrial fibrillation.}, journal = {Nat Genet}, volume = {42}, year = {2010}, month = {2010 Mar}, pages = {240-4}, abstract = {

Atrial fibrillation (AF) is the most common sustained arrhythmia. Previous studies have identified several genetic loci associated with typical AF. We sought to identify common genetic variants underlying lone AF. This condition affects a subset of individuals without overt heart disease and with an increased heritability of AF. We report a meta-analysis of genome-wide association studies conducted using 1,335 individuals with lone AF (cases) and 12,844 unaffected individuals (referents). Cases were obtained from the German AF Network, Heart and Vascular Health Study, the Atherosclerosis Risk in Communities Study, the Cleveland Clinic and Massachusetts General Hospital. We identified an association on chromosome 1q21 to lone AF (rs13376333, adjusted odds ratio = 1.56; P = 6.3 x 10(-12)), and we replicated this association in two independent cohorts with lone AF (overall combined odds ratio = 1.52, 95\% CI 1.40-1.64; P = 1.83 x 10(-21)). rs13376333 is intronic to KCNN3, which encodes a potassium channel protein involved in atrial repolarization.

}, keywords = {Adolescent, Adult, Aged, Atrial Fibrillation, Case-Control Studies, Cohort Studies, Female, Genome-Wide Association Study, Humans, Introns, Male, Meta-Analysis as Topic, Middle Aged, Polymorphism, Single Nucleotide, Small-Conductance Calcium-Activated Potassium Channels, Young Adult}, issn = {1546-1718}, doi = {10.1038/ng.537}, author = {Ellinor, Patrick T and Lunetta, Kathryn L and Glazer, Nicole L and Pfeufer, Arne and Alonso, Alvaro and Chung, Mina K and Sinner, Moritz F and de Bakker, Paul I W and Mueller, Martina and Lubitz, Steven A and Fox, Ervin and Darbar, Dawood and Smith, Nicholas L and Smith, Jonathan D and Schnabel, Renate B and Soliman, Elsayed Z and Rice, Kenneth M and Van Wagoner, David R and Beckmann, Britt-M and van Noord, Charlotte and Wang, Ke and Ehret, Georg B and Rotter, Jerome I and Hazen, Stanley L and Steinbeck, Gerhard and Smith, Albert V and Launer, Lenore J and Harris, Tamara B and Makino, Seiko and Nelis, Mari and Milan, David J and Perz, Siegfried and Esko, T{\~o}nu and K{\"o}ttgen, Anna and Moebus, Susanne and Newton-Cheh, Christopher and Li, Man and M{\"o}hlenkamp, Stefan and Wang, Thomas J and Kao, W H Linda and Vasan, Ramachandran S and N{\"o}then, Markus M and MacRae, Calum A and Stricker, Bruno H Ch and Hofman, Albert and Uitterlinden, Andr{\'e} G and Levy, Daniel and Boerwinkle, Eric and Metspalu, Andres and Topol, Eric J and Chakravarti, Aravinda and Gudnason, Vilmundur and Psaty, Bruce M and Roden, Dan M and Meitinger, Thomas and Wichmann, H-Erich and Witteman, Jacqueline C M and Barnard, John and Arking, Dan E and Benjamin, Emelia J and Heckbert, Susan R and K{\"a}{\"a}b, Stefan} } @article {1243, title = {Four novel Loci (19q13, 6q24, 12q24, and 5q14) influence the microcirculation in vivo.}, journal = {PLoS Genet}, volume = {6}, year = {2010}, month = {2010 Oct 28}, pages = {e1001184}, abstract = {

There is increasing evidence that the microcirculation plays an important role in the pathogenesis of cardiovascular diseases. Changes in retinal vascular caliber reflect early microvascular disease and predict incident cardiovascular events. We performed a genome-wide association study to identify genetic variants associated with retinal vascular caliber. We analyzed data from four population-based discovery cohorts with 15,358 unrelated Caucasian individuals, who are members of the Cohort for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium, and replicated findings in four independent Caucasian cohorts (n  =  6,652). All participants had retinal photography and retinal arteriolar and venular caliber measured from computer software. In the discovery cohorts, 179 single nucleotide polymorphisms (SNP) spread across five loci were significantly associated (p<5.0{\texttimes}10(-8)) with retinal venular caliber, but none showed association with arteriolar caliber. Collectively, these five loci explain 1.0\%-3.2\% of the variation in retinal venular caliber. Four out of these five loci were confirmed in independent replication samples. In the combined analyses, the top SNPs at each locus were: rs2287921 (19q13; p  =  1.61{\texttimes}10(-25), within the RASIP1 locus), rs225717 (6q24; p = 1.25{\texttimes}10(-16), adjacent to the VTA1 and NMBR loci), rs10774625 (12q24; p  =  2.15{\texttimes}10(-13), in the region of ATXN2,SH2B3 and PTPN11 loci), and rs17421627 (5q14; p = 7.32{\texttimes}10(-16), adjacent to the MEF2C locus). In two independent samples, locus 12q24 was also associated with coronary heart disease and hypertension. Our population-based genome-wide association study demonstrates four novel loci associated with retinal venular caliber, an endophenotype of the microcirculation associated with clinical cardiovascular disease. These data provide further insights into the contribution and biological mechanisms of microcirculatory changes that underlie cardiovascular disease.

}, keywords = {Adolescent, Adult, Aged, Aged, 80 and over, Cardiovascular Diseases, Child, Child, Preschool, Chromosomes, Human, Pair 12, Chromosomes, Human, Pair 19, Chromosomes, Human, Pair 5, Chromosomes, Human, Pair 6, Cohort Studies, European Continental Ancestry Group, Female, Genetic Loci, Genome-Wide Association Study, Humans, Male, Meta-Analysis as Topic, Microcirculation, Middle Aged, Polymorphism, Single Nucleotide, Retinal Vessels, Young Adult}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1001184}, author = {Ikram, M Kamran and Sim, Xueling and Xueling, Sim and Jensen, Richard A and Cotch, Mary Frances and Hewitt, Alex W and Ikram, M Arfan and Wang, Jie Jin and Klein, Ronald and Klein, Barbara E K and Breteler, Monique M B and Cheung, Ning and Liew, Gerald and Mitchell, Paul and Uitterlinden, Andr{\'e} G and Rivadeneira, Fernando and Hofman, Albert and de Jong, Paulus T V M and van Duijn, Cornelia M and Kao, Linda and Cheng, Ching-Yu and Smith, Albert Vernon and Glazer, Nicole L and Lumley, Thomas and McKnight, Barbara and Psaty, Bruce M and Jonasson, Fridbert and Eiriksdottir, Gudny and Aspelund, Thor and Harris, Tamara B and Launer, Lenore J and Taylor, Kent D and Li, Xiaohui and Iyengar, Sudha K and Xi, Quansheng and Sivakumaran, Theru A and Mackey, David A and Macgregor, Stuart and Martin, Nicholas G and Young, Terri L and Bis, Josh C and Wiggins, Kerri L and Heckbert, Susan R and Hammond, Christopher J and Andrew, Toby and Fahy, Samantha and Attia, John and Holliday, Elizabeth G and Scott, Rodney J and Islam, F M Amirul and Rotter, Jerome I and McAuley, Annie K and Boerwinkle, Eric and Tai, E Shyong and Gudnason, Vilmundur and Siscovick, David S and Vingerling, Johannes R and Wong, Tien Y} } @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 {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 {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 {1179, title = {A meta-analysis of four genome-wide association studies of survival to age 90 years or older: the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium.}, journal = {J Gerontol A Biol Sci Med Sci}, volume = {65}, year = {2010}, month = {2010 May}, pages = {478-87}, abstract = {

BACKGROUND: Genome-wide association studies (GWAS) may yield insights into longevity.

METHODS: We performed a meta-analysis of GWAS in Caucasians from four prospective cohort studies: the Age, Gene/Environment Susceptibility-Reykjavik Study, the Cardiovascular Health Study, the Framingham Heart Study, and the Rotterdam Study participating in the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. Longevity was defined as survival to age 90 years or older (n = 1,836); the comparison group comprised cohort members who died between the ages of 55 and 80 years (n = 1,955). In a second discovery stage, additional genotyping was conducted in the Leiden Longevity Study cohort and the Danish 1905 cohort.

RESULTS: There were 273 single-nucleotide polymorphism (SNP) associations with p < .0001, but none reached the prespecified significance level of 5 x 10(-8). Of the most significant SNPs, 24 were independent signals, and 16 of these SNPs were successfully genotyped in the second discovery stage, with one association for rs9664222, reaching 6.77 x 10(-7) for the combined meta-analysis of CHARGE and the stage 2 cohorts. The SNP lies in a region near MINPP1 (chromosome 10), a well-conserved gene involved in regulation of cellular proliferation. The minor allele was associated with lower odds of survival past age 90 (odds ratio = 0.82). Associations of interest in a homologue of the longevity assurance gene (LASS3) and PAPPA2 were not strengthened in the second stage.

CONCLUSION: Survival studies of larger size or more extreme or specific phenotypes may support or refine these initial findings.

}, keywords = {Adult, Age Factors, Aged, Aged, 80 and over, Alleles, Cohort Studies, Confidence Intervals, Female, Genome-Wide Association Study, Genotype, Humans, Longevity, Male, Middle Aged, Odds Ratio, Polymorphism, Single Nucleotide}, issn = {1758-535X}, doi = {10.1093/gerona/glq028}, author = {Newman, Anne B and Walter, Stefan and Lunetta, Kathryn L and Garcia, Melissa E and Slagboom, P Eline and Christensen, Kaare and Arnold, Alice M and Aspelund, Thor and Aulchenko, Yurii S and Benjamin, Emelia J and Christiansen, Lene and D{\textquoteright}Agostino, Ralph B and Fitzpatrick, Annette L and Franceschini, Nora and Glazer, Nicole L and Gudnason, Vilmundur and Hofman, Albert and Kaplan, Robert and Karasik, David and Kelly-Hayes, Margaret and Kiel, Douglas P and Launer, Lenore J and Marciante, Kristin D and Massaro, Joseph M and Miljkovic, Iva and Nalls, Michael A and Hernandez, Dena and Psaty, Bruce M and Rivadeneira, Fernando and Rotter, Jerome and Seshadri, Sudha and Smith, Albert V and Taylor, Kent D and Tiemeier, Henning and Uh, Hae-Won and Uitterlinden, Andr{\'e} G and Vaupel, James W and Walston, Jeremy and Westendorp, Rudi G J and Harris, Tamara B and Lumley, Thomas and van Duijn, Cornelia M and Murabito, Joanne M} } @article {1183, title = {New loci associated with kidney function and chronic kidney disease.}, journal = {Nat Genet}, volume = {42}, year = {2010}, month = {2010 May}, pages = {376-84}, abstract = {

Chronic kidney disease (CKD) is a significant public health problem, and recent genetic studies have identified common CKD susceptibility variants. The CKDGen consortium performed a meta-analysis of genome-wide association data in 67,093 individuals of European ancestry from 20 predominantly population-based studies in order to identify new susceptibility loci for reduced renal function as estimated by serum creatinine (eGFRcrea), serum cystatin c (eGFRcys) and CKD (eGFRcrea < 60 ml/min/1.73 m(2); n = 5,807 individuals with CKD (cases)). Follow-up of the 23 new genome-wide-significant loci (P < 5 x 10(-8)) in 22,982 replication samples identified 13 new loci affecting renal function and CKD (in or near LASS2, GCKR, ALMS1, TFDP2, DAB2, SLC34A1, VEGFA, PRKAG2, PIP5K1B, ATXN2, DACH1, UBE2Q2 and SLC7A9) and 7 loci suspected to affect creatinine production and secretion (CPS1, SLC22A2, TMEM60, WDR37, SLC6A13, WDR72 and BCAS3). These results further our understanding of the biologic mechanisms of kidney function by identifying loci that potentially influence nephrogenesis, podocyte function, angiogenesis, solute transport and metabolic functions of the kidney.

}, keywords = {Cohort Studies, Creatinine, Cystatin C, Diet, Europe, Genetic Markers, Genome-Wide Association Study, Glomerular Filtration Rate, Humans, Kidney, Kidney Failure, Chronic, Models, Genetic, Risk Factors}, issn = {1546-1718}, doi = {10.1038/ng.568}, author = {K{\"o}ttgen, Anna and Pattaro, Cristian and B{\"o}ger, Carsten A and Fuchsberger, Christian and Olden, Matthias and Glazer, Nicole L and Parsa, Afshin and Gao, Xiaoyi and Yang, Qiong and Smith, Albert V and O{\textquoteright}Connell, Jeffrey R and Li, Man and Schmidt, Helena and Tanaka, Toshiko and Isaacs, Aaron and Ketkar, Shamika and Hwang, Shih-Jen and Johnson, Andrew D and Dehghan, Abbas and Teumer, Alexander and Par{\'e}, Guillaume and Atkinson, Elizabeth J and Zeller, Tanja and Lohman, Kurt and Cornelis, Marilyn C and Probst-Hensch, Nicole M and Kronenberg, Florian and T{\"o}njes, Anke and Hayward, Caroline and Aspelund, Thor and Eiriksdottir, Gudny and Launer, Lenore J and Harris, Tamara B and Rampersaud, Evadnie and Mitchell, Braxton D and Arking, Dan E and Boerwinkle, Eric and Struchalin, Maksim and Cavalieri, Margherita and Singleton, Andrew and Giallauria, Francesco and Metter, Jeffrey and de Boer, Ian H and Haritunians, Talin and Lumley, Thomas and Siscovick, David and Psaty, Bruce M and Zillikens, M Carola and Oostra, Ben A and Feitosa, Mary and Province, Michael and de Andrade, Mariza and Turner, Stephen T and Schillert, Arne and Ziegler, Andreas and Wild, Philipp S and Schnabel, Renate B and Wilde, Sandra and Munzel, Thomas F and Leak, Tennille S and Illig, Thomas and Klopp, Norman and Meisinger, Christa and Wichmann, H-Erich and Koenig, Wolfgang and Zgaga, Lina and Zemunik, Tatijana and Kolcic, Ivana and Minelli, Cosetta and Hu, Frank B and Johansson, Asa and Igl, Wilmar and Zaboli, Ghazal and Wild, Sarah H and Wright, Alan F and Campbell, Harry and Ellinghaus, David and Schreiber, Stefan and Aulchenko, Yurii S and Felix, Janine F and Rivadeneira, Fernando and Uitterlinden, Andr{\'e} G and Hofman, Albert and Imboden, Medea and Nitsch, Dorothea and Brandst{\"a}tter, Anita and Kollerits, Barbara and Kedenko, Lyudmyla and M{\"a}gi, Reedik and Stumvoll, Michael and Kovacs, Peter and Boban, Mladen and Campbell, Susan and Endlich, Karlhans and V{\"o}lzke, Henry and Kroemer, Heyo K and Nauck, Matthias and V{\"o}lker, Uwe and Polasek, Ozren and Vitart, Veronique and Badola, Sunita and Parker, Alexander N and Ridker, Paul M and Kardia, Sharon L R and Blankenberg, Stefan and Liu, Yongmei and Curhan, Gary C and Franke, Andre and Rochat, Thierry and Paulweber, Bernhard and Prokopenko, Inga and Wang, Wei and Gudnason, Vilmundur and Shuldiner, Alan R and Coresh, Josef and Schmidt, Reinhold and Ferrucci, Luigi and Shlipak, Michael G and van Duijn, Cornelia M and Borecki, Ingrid and Kr{\"a}mer, Bernhard K and Rudan, Igor and Gyllensten, Ulf and Wilson, James F and Witteman, Jacqueline C and Pramstaller, Peter P and Rettig, Rainer and Hastie, Nick and Chasman, Daniel I and Kao, W H and Heid, Iris M and Fox, Caroline S} } @article {1247, title = {Validation of an atrial fibrillation risk algorithm in whites and African Americans.}, journal = {Arch Intern Med}, volume = {170}, year = {2010}, month = {2010 Nov 22}, pages = {1909-17}, abstract = {

BACKGROUND: We sought to validate a recently published risk algorithm for incident atrial fibrillation (AF) in independent cohorts and other racial groups.

METHODS: We evaluated the performance of a Framingham Heart Study (FHS)-derived risk algorithm modified for 5-year incidence of AF in the FHS (n = 4764 participants) and 2 geographically and racially diverse cohorts in the age range 45 to 95 years: AGES (the Age, Gene/Environment Susceptibility-Reykjavik Study) (n = 4238) and CHS (the Cardiovascular Health Study) (n = 5410, of whom 874 [16.2\%] were African Americans). The risk algorithm included age, sex, body mass index, systolic blood pressure, electrocardiographic PR interval, hypertension treatment, and heart failure.

RESULTS: We found 1359 incident AF events in 100 074 person-years of follow-up. Unadjusted 5-year event rates differed by cohort (AGES, 12.8 cases/1000 person-years; CHS whites, 22.7 cases/1000 person-years; and FHS, 4.5 cases/1000 person-years) and by race (CHS African Americans, 18.4 cases/1000 person-years). The strongest risk factors in all samples were age and heart failure. The relative risks for incident AF associated with risk factors were comparable across cohorts and race groups. After recalibration for baseline incidence and risk factor distribution, the Framingham algorithm, reported in C statistic, performed reasonably well in all samples: AGES, 0.67 (95\% confidence interval [CI], 0.64-0.71); CHS whites, 0.68 (95\% CI, 0.66-0.70); and CHS African Americans, 0.66 (95\% CI, 0.61-0.71). Risk factors combined in the algorithm explained between 47.0\% (AGES) and 63.6\% (FHS) of the population-attributable risk.

CONCLUSIONS: Risk of incident AF in community-dwelling whites and African Americans can be assessed reliably by routinely available and potentially modifiable clinical variables. Seven risk factors accounted for up to 64\% of risk.

}, keywords = {African Continental Ancestry Group, Age Factors, Aged, Aged, 80 and over, Algorithms, Atrial Fibrillation, Blood Pressure, Body Mass Index, Cohort Studies, Electrocardiography, Europe, European Continental Ancestry Group, Female, Follow-Up Studies, Heart Failure, Humans, Hypertension, Incidence, Kaplan-Meier Estimate, Male, Middle Aged, Proportional Hazards Models, Risk Factors, Sex Factors, Systole, United States}, issn = {1538-3679}, doi = {10.1001/archinternmed.2010.434}, author = {Schnabel, Renate B and Aspelund, Thor and Li, Guo and Sullivan, Lisa M and Suchy-Dicey, Astrid and Harris, Tamara B and Pencina, Michael J and D{\textquoteright}Agostino, Ralph B and Levy, Daniel and Kannel, William B and Wang, Thomas J and Kronmal, Richard A and Wolf, Philip A and Burke, Gregory L and Launer, Lenore J and Vasan, Ramachandran S and Psaty, Bruce M and Benjamin, Emelia J and Gudnason, Vilmundur and Heckbert, Susan R} } @article {1194, title = {Validation of the health ABC heart failure model for incident heart failure risk prediction: the Cardiovascular Health Study.}, journal = {Circ Heart Fail}, volume = {3}, year = {2010}, month = {2010 Jul}, pages = {495-502}, abstract = {

BACKGROUND: The recently developed and internally validated Health ABC HF model uses 9 routinely available clinical variables to determine incident heart failure risk. In this study, we sought to externally validate the Health ABC HF model.

METHODS AND RESULTS: Observed 5-year incidence of heart failure, defined as first hospitalization for new-onset heart failure, was compared with 5-year risk estimates derived from the Health ABC HF model among participants without heart failure at baseline in the Cardiovascular Health Study. During follow-up, 400 of 5335 (7.5\%) participants developed heart failure over 5 years versus 364 (6.8\%) predicted by the Health ABC HF model (predicted-to-observed ratio, 0.90). Observed versus predicted 5-year heart failure probabilities were 3.2\% versus 2.8\%, 9.0\% versus 7.0\%, 15.9\% versus 13.7\%, and 24.6\% versus 30.8\% for the <5\%, 5\% to 10\%, 10\% to 20\%, and >20\% 5-year risk categories, respectively. The Hosmer-Lemeshow chi(2) was 14.72 (degrees of freedom, 10; P=0.14), and the C index was 0.74 (95\% CI, 0.72 to 0.76). Calibration and discrimination demonstrated adequate performance across sex and race overall; however, risk was underestimated in white men, especially in the 5\% to 10\% risk category. Model performance was optimal when participants with normal left ventricular function at baseline were assessed separately. Performance was consistent across age groups. Analyses with death as a competing risk yielded similar results.

CONCLUSIONS: The Health ABC HF model adequately predicted 5-year heart failure risk in a large community-based study, providing support for the external validity of the model. This tool may be used to identify individuals to whom to target heart failure prevention efforts.

}, keywords = {Age Distribution, Aged, Aged, 80 and over, Cause of Death, Cohort Studies, Confidence Intervals, Disease Progression, Echocardiography, Doppler, Female, Heart Failure, Humans, Incidence, Male, Models, Statistical, Predictive Value of Tests, Prognosis, Severity of Illness Index, Sex Distribution, Survival Analysis, United States}, issn = {1941-3297}, doi = {10.1161/CIRCHEARTFAILURE.109.904300}, author = {Kalogeropoulos, Andreas and Psaty, Bruce M and Vasan, Ramachandran S and Georgiopoulou, Vasiliki and Smith, Andrew L and Smith, Nicholas L and Kritchevsky, Stephen B and Wilson, Peter W F and Newman, Anne B and Harris, Tamara B and Butler, Javed} } @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 {1266, title = {Higher serum free testosterone concentration in older women is associated with greater bone mineral density, lean body mass, and total fat mass: the cardiovascular health study.}, journal = {J Clin Endocrinol Metab}, volume = {96}, year = {2011}, month = {2011 Apr}, pages = {989-96}, abstract = {

CONTEXT: The physiological importance of endogenous testosterone (T) in older women is poorly understood.

OBJECTIVE: The aim of the study was to determine the association of higher total and free T levels with bone mineral density (BMD), lean body mass, and fat mass in elderly women.

DESIGN: Total and free T were measured using sensitive assays in 232 community-dwelling women aged 67-94 yr who were enrolled in the Cardiovascular Health Study and had dual-energy x-ray absorptiometry scans. Cross-sectional analyses were performed to examine associations between total and free T and BMD and body composition.

RESULTS: In adjusted models, total T was directly associated with BMD at the lumbar spine (P = 0.04) and hip (P = 0.001), but not body composition outcomes, in all women, and after excluding estrogen users and adjusting for estradiol (P = 0.04 and 0.01, respectively). Free T was positively related to hip BMD, lean body mass, and body fat (all P < 0.05), with more than 10\% differences in each outcome between women at the highest and lowest ends of the free T range, with attenuation after excluding estrogen users and adjusting for estradiol.

CONCLUSIONS: In the setting of the low estradiol levels found in older women, circulating T levels were associated with bone density. Women with higher free T levels had greater lean body mass, consistent with the anabolic effect of T, and, in contrast to men, greater fat mass. Mechanistic studies are required to determine whether a causal relationship exists between T, bone, and body composition in this population and the degree to which any T effects are estrogen-independent.

}, keywords = {Adipose Tissue, Aged, Aged, 80 and over, Body Mass Index, Bone Density, Cardiovascular Physiological Phenomena, Cohort Studies, Female, Health, Humans, Organ Size, Osmolar Concentration, Osteoporosis, Postmenopausal, Testosterone, Thinness, Up-Regulation}, issn = {1945-7197}, doi = {10.1210/jc.2010-0926}, author = {Rariy, Chevon M and Ratcliffe, Sarah J and Weinstein, Rachel and Bhasin, Shalender and Blackman, Marc R and Cauley, Jane A and Robbins, John and Zmuda, Joseph M and Harris, Tamara B and Cappola, Anne R} } @article {1323, title = {Meta-analysis of genome-wide association studies from the CHARGE consortium identifies common variants associated with carotid intima media thickness and plaque.}, journal = {Nat Genet}, volume = {43}, year = {2011}, month = {2011 Sep 11}, pages = {940-7}, abstract = {

Carotid intima media thickness (cIMT) and plaque determined by ultrasonography are established measures of subclinical atherosclerosis that each predicts future cardiovascular disease events. We conducted a meta-analysis of genome-wide association data in 31,211 participants of European ancestry from nine large studies in the setting of the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. We then sought additional evidence to support our findings among 11,273 individuals using data from seven additional studies. In the combined meta-analysis, we identified three genomic regions associated with common carotid intima media thickness and two different regions associated with the presence of carotid plaque (P < 5 {\texttimes} 10(-8)). The associated SNPs mapped in or near genes related to cellular signaling, lipid metabolism and blood pressure homeostasis, and two of the regions were associated with coronary artery disease (P < 0.006) in the Coronary Artery Disease Genome-Wide Replication and Meta-Analysis (CARDIoGRAM) consortium. Our findings may provide new insight into pathways leading to subclinical atherosclerosis and subsequent cardiovascular events.

}, keywords = {Adult, Aged, Aging, Atherosclerosis, Carotid Intima-Media Thickness, Cohort Studies, Coronary Artery Disease, European Continental Ancestry Group, Genetic Loci, Genetic Predisposition to Disease, Genome, Human, Genome-Wide Association Study, Genotype, Heart, Humans, Middle Aged, Phenotype, Plaque, Atherosclerotic, Polymorphism, Single Nucleotide, Risk Factors}, issn = {1546-1718}, doi = {10.1038/ng.920}, author = {Bis, Joshua C and Kavousi, Maryam and Franceschini, Nora and Isaacs, Aaron and Abecasis, Goncalo R and Schminke, Ulf and Post, Wendy S and Smith, Albert V and Cupples, L Adrienne and Markus, Hugh S and Schmidt, Reinhold and Huffman, Jennifer E and Lehtim{\"a}ki, Terho and Baumert, Jens and M{\"u}nzel, Thomas and Heckbert, Susan R and Dehghan, Abbas and North, Kari and Oostra, Ben and Bevan, Steve and Stoegerer, Eva-Maria and Hayward, Caroline and Raitakari, Olli and Meisinger, Christa and Schillert, Arne and Sanna, Serena and V{\"o}lzke, Henry and Cheng, Yu-Ching and Thorsson, Bolli and Fox, Caroline S and Rice, Kenneth and Rivadeneira, Fernando and Nambi, Vijay and Halperin, Eran and Petrovic, Katja E and Peltonen, Leena and Wichmann, H Erich and Schnabel, Renate B and D{\"o}rr, Marcus and Parsa, Afshin and Aspelund, Thor and Demissie, Serkalem and Kathiresan, Sekar and Reilly, Muredach P and Taylor, Kent and Uitterlinden, Andre and Couper, David J and Sitzer, Matthias and K{\"a}h{\"o}nen, Mika and Illig, Thomas and Wild, Philipp S and Orr{\`u}, Marco and L{\"u}demann, Jan and Shuldiner, Alan R and Eiriksdottir, Gudny and White, Charles C and Rotter, Jerome I and Hofman, Albert and Seissler, Jochen and Zeller, Tanja and Usala, Gianluca and Ernst, Florian and Launer, Lenore J and D{\textquoteright}Agostino, Ralph B and O{\textquoteright}Leary, Daniel H and Ballantyne, Christie and Thiery, Joachim and Ziegler, Andreas and Lakatta, Edward G and Chilukoti, Ravi Kumar and Harris, Tamara B and Wolf, Philip A and Psaty, Bruce M and Polak, Joseph F and Li, Xia and Rathmann, Wolfgang and Uda, Manuela and Boerwinkle, Eric and Klopp, Norman and Schmidt, Helena and Wilson, James F and Viikari, Jorma and Koenig, Wolfgang and Blankenberg, Stefan and Newman, Anne B and Witteman, Jacqueline and Heiss, Gerardo and Duijn, Cornelia van and Scuteri, Angelo and Homuth, Georg and Mitchell, Braxton D and Gudnason, Vilmundur and O{\textquoteright}Donnell, Christopher J} } @article {1556, title = {Assessment of gene-by-sex interaction effect on bone mineral density.}, journal = {J Bone Miner Res}, volume = {27}, year = {2012}, month = {2012 Oct}, pages = {2051-64}, abstract = {

Sexual dimorphism in various bone phenotypes, including bone mineral density (BMD), is widely observed; however, the extent to which genes explain these sex differences is unclear. To identify variants with different effects by sex, we examined gene-by-sex autosomal interactions genome-wide, and performed expression quantitative trait loci (eQTL) analysis and bioinformatics network analysis. We conducted an autosomal genome-wide meta-analysis of gene-by-sex interaction on lumbar spine (LS) and femoral neck (FN) BMD in 25,353 individuals from 8 cohorts. In a second stage, we followed up the 12 top single-nucleotide polymorphisms (SNPs; p < 1 {\texttimes} 10(-5) ) in an additional set of 24,763 individuals. Gene-by-sex interaction and sex-specific effects were examined in these 12 SNPs. We detected one novel genome-wide significant interaction associated with LS-BMD at the Chr3p26.1-p25.1 locus, near the GRM7 gene (male effect = 0.02 and p = 3.0 {\texttimes} 10(-5) ; female effect = -0.007 and p = 3.3 {\texttimes} 10(-2) ), and 11 suggestive loci associated with either FN- or LS-BMD in discovery cohorts. However, there was no evidence for genome-wide significant (p < 5 {\texttimes} 10(-8) ) gene-by-sex interaction in the joint analysis of discovery and replication cohorts. Despite the large collaborative effort, no genome-wide significant evidence for gene-by-sex interaction was found to influence BMD variation in this screen of autosomal markers. If they exist, gene-by-sex interactions for BMD probably have weak effects, accounting for less than 0.08\% of the variation in these traits per implicated SNP. {\textcopyright} 2012 American Society for Bone and Mineral Research.

}, keywords = {Bone Density, Cohort Studies, Female, Genes, Genome-Wide Association Study, Humans, Male, Meta-Analysis as Topic, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Reproducibility of Results, Sex Characteristics}, issn = {1523-4681}, doi = {10.1002/jbmr.1679}, author = {Liu, Ching-Ti and Estrada, Karol and Yerges-Armstrong, Laura M and Amin, Najaf and Evangelou, Evangelos and Li, Guo and Minster, Ryan L and Carless, Melanie A and Kammerer, Candace M and Oei, Ling and Zhou, Yanhua and Alonso, Nerea and Dailiana, Zoe and Eriksson, Joel and Garc{\'\i}a-Giralt, Natalia and Giroux, Sylvie and Husted, Lise Bjerre and Khusainova, Rita I and Koromila, Theodora and Kung, Annie Waichee and Lewis, Joshua R and Masi, Laura and Mencej-Bedrac, Simona and Nogues, Xavier and Patel, Millan S and Prezelj, Janez and Richards, J Brent and Sham, Pak Chung and Spector, Timothy and Vandenput, Liesbeth and Xiao, Su-Mei and Zheng, Hou-Feng and Zhu, Kun and Balcells, Susana and Brandi, Maria Luisa and Frost, Morten and Goltzman, David and Gonz{\'a}lez-Mac{\'\i}as, Jes{\'u}s and Karlsson, Magnus and Khusnutdinova, Elza K and Kollia, Panagoula and Langdahl, Bente Lomholt and Ljunggren, Osten and Lorentzon, Mattias and Marc, Janja and Mellstr{\"o}m, Dan and Ohlsson, Claes and Olmos, Jos{\'e} M and Ralston, Stuart H and Riancho, Jos{\'e} A and Rousseau, Fran{\c c}ois and Urreizti, Roser and Van Hul, Wim and Zarrabeitia, Mar{\'\i}a T and Castano-Betancourt, Martha and Demissie, Serkalem and Grundberg, Elin and Herrera, Lizbeth and Kwan, Tony and Medina-G{\'o}mez, Carolina and Pastinen, Tomi and Sigurdsson, Gunnar and Thorleifsson, Gudmar and Vanmeurs, Joyce Bj and Blangero, John and Hofman, Albert and Liu, Yongmei and Mitchell, Braxton D and O{\textquoteright}Connell, Jeffrey R and Oostra, Ben A and Rotter, Jerome I and Stefansson, Kari and Streeten, Elizabeth A and Styrkarsdottir, Unnur and Thorsteinsdottir, Unnur and Tylavsky, Frances A and Uitterlinden, Andre and Cauley, Jane A and Harris, Tamara B and Ioannidis, John Pa and Psaty, Bruce M and Robbins, John A and Zillikens, M Carola and Vanduijn, Cornelia M and Prince, Richard L and Karasik, David and Rivadeneira, Fernando and Kiel, Douglas P and Cupples, L Adrienne and Hsu, Yi-Hsiang} } @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 {6067, title = {Best practices and joint calling of the HumanExome BeadChip: the CHARGE Consortium.}, journal = {PLoS One}, volume = {8}, year = {2013}, month = {2013}, pages = {e68095}, abstract = {

Genotyping arrays are a cost effective approach when typing previously-identified genetic polymorphisms in large numbers of samples. One limitation of genotyping arrays with rare variants (e.g., minor allele frequency [MAF] <0.01) is the difficulty that automated clustering algorithms have to accurately detect and assign genotype calls. Combining intensity data from large numbers of samples may increase the ability to accurately call the genotypes of rare variants. Approximately 62,000 ethnically diverse samples from eleven Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium cohorts were genotyped with the Illumina HumanExome BeadChip across seven genotyping centers. The raw data files for the samples were assembled into a single project for joint calling. To assess the quality of the joint calling, concordance of genotypes in a subset of individuals having both exome chip and exome sequence data was analyzed. After exclusion of low performing SNPs on the exome chip and non-overlap of SNPs derived from sequence data, genotypes of 185,119 variants (11,356 were monomorphic) were compared in 530 individuals that had whole exome sequence data. A total of 98,113,070 pairs of genotypes were tested and 99.77\% were concordant, 0.14\% had missing data, and 0.09\% were discordant. We report that joint calling allows the ability to accurately genotype rare variation using array technology when large sample sizes are available and best practices are followed. The cluster file from this experiment is available at www.chargeconsortium.com/main/exomechip.

}, keywords = {Aging, Alleles, Cluster Analysis, Cohort Studies, Continental Population Groups, Exome, Female, Gene Frequency, Genomics, Genotype, Heart, Humans, Male, Oligonucleotide Array Sequence Analysis, Polymorphism, Single Nucleotide, Sample Size, Self Report, Sequence Analysis, DNA}, issn = {1932-6203}, doi = {10.1371/journal.pone.0068095}, author = {Grove, Megan L and Yu, Bing and Cochran, Barbara J and Haritunians, Talin and Bis, Joshua C and Taylor, Kent D and Hansen, Mark and Borecki, Ingrid B and Cupples, L Adrienne and Fornage, Myriam and Gudnason, Vilmundur and Harris, Tamara B and Kathiresan, Sekar and Kraaij, Robert and Launer, Lenore J and Levy, Daniel and Liu, Yongmei and Mosley, Thomas and Peloso, Gina M and Psaty, Bruce M and Rich, Stephen S and Rivadeneira, Fernando and Siscovick, David S and Smith, Albert V and Uitterlinden, Andre and van Duijn, Cornelia M and Wilson, James G and O{\textquoteright}Donnell, Christopher J and Rotter, Jerome I and Boerwinkle, Eric} } @article {5854, title = {Hypertension and low HDL cholesterol were associated with reduced kidney function across the age spectrum: a collaborative study.}, journal = {Ann Epidemiol}, volume = {23}, year = {2013}, month = {2013 Mar}, pages = {106-11}, abstract = {

PURPOSE: To determine if the associations among established risk factors and reduced kidney function vary by age.

METHODS: We pooled cross-sectional data from 14,788 nondiabetics aged 40 to 100 years in 4 studies: Cardiovascular Health Study, Health, Aging, and Body Composition Study, Multi-Ethnic Study of Atherosclerosis, and Prevention of Renal and Vascular End-Stage Disease cohort.

RESULTS: Hypertension and low high-density lipoprotein (HDL) cholesterol were associated with reduced cystatin C-based estimated glomerular filtration rate (eGFR) across the age spectrum. In adjusted analyses, hypertension was associated with a 2.3 (95\% confidence interval [CI], 0.1, 4.4), 5.1 (95\% CI, 4.1, 6.1), and 6.9 (95\%~CI, 3.0, 10.4) mL/min/1.73 m(2) lower eGFR in participants 40 to 59, 60 to 79, and at least 80~years, respectively (P for interaction < .001). The association of low HDL cholesterol with reduced kidney function was also greater in the older age groups: 4.9 (95\% CI, 3.5, 6.3), 7.1 (95\% CI, 6.0, 8.3), 8.9 (95\% CI, 5.4, 11.9) mL/min/1.73 m(2) (P for interaction < .001). Smoking and obesity were associated with reduced kidney function in participants under 80 years. All estimates of the potential population impact of the risk factors were modest.

CONCLUSIONS: Hypertension, obesity, smoking, and low HDL cholesterol are modestly associated with reduced kidney function in nondiabetics. The associations of hypertension and HDL cholesterol with reduced kidney function seem to be stronger in older adults.

}, keywords = {Adult, Age Factors, Aged, Aged, 80 and over, Aging, Causality, Cholesterol, LDL, Cohort Studies, Comorbidity, Cross-Sectional Studies, Cystatin C, Female, Humans, Hypertension, Kidney Function Tests, Male, Netherlands, Obesity, Prevalence, Renal Insufficiency, Chronic, Risk Factors, Smoking, United States}, issn = {1873-2585}, doi = {10.1016/j.annepidem.2012.12.004}, author = {Odden, Michelle C and Tager, Ira B and Gansevoort, Ron T and Bakker, Stephan J L and Fried, Linda F and Newman, Anne B and Katz, Ronit and Satterfield, Suzanne and Harris, Tamara B and Sarnak, Mark J and Siscovick, David and Shlipak, Michael G} } @article {5878, title = {Simple risk model predicts incidence of atrial fibrillation in a racially and geographically diverse population: the CHARGE-AF consortium.}, journal = {J Am Heart Assoc}, volume = {2}, year = {2013}, month = {2013 Mar 18}, pages = {e000102}, abstract = {

BACKGROUND: Tools for the prediction of atrial fibrillation (AF) may identify high-risk individuals more likely to benefit from preventive interventions and serve as a benchmark to test novel putative risk factors.

METHODS AND RESULTS: Individual-level data from 3 large cohorts in the United States (Atherosclerosis Risk in Communities [ARIC] study, the Cardiovascular Health Study [CHS], and the Framingham Heart Study [FHS]), including 18 556 men and women aged 46 to 94 years (19\% African Americans, 81\% whites) were pooled to derive predictive models for AF using clinical variables. Validation of the derived models was performed in 7672 participants from the Age, Gene and Environment-Reykjavik study (AGES) and the Rotterdam Study (RS). The analysis included 1186 incident AF cases in the derivation cohorts and 585 in the validation cohorts. A simple 5-year predictive model including the variables age, race, height, weight, systolic and diastolic blood pressure, current smoking, use of antihypertensive medication, diabetes, and history of myocardial infarction and heart failure had good discrimination (C-statistic, 0.765; 95\% CI, 0.748 to 0.781). Addition of variables from the electrocardiogram did not improve the overall model discrimination (C-statistic, 0.767; 95\% CI, 0.750 to 0.783; categorical net reclassification improvement, -0.0032; 95\% CI, -0.0178 to 0.0113). In the validation cohorts, discrimination was acceptable (AGES C-statistic, 0.664; 95\% CI, 0.632 to 0.697 and RS C-statistic, 0.705; 95\% CI, 0.664 to 0.747) and calibration was adequate.

CONCLUSION: A risk model including variables readily available in primary care settings adequately predicted AF in diverse populations from the United States and Europe.

}, keywords = {African Americans, Age Factors, Aged, Aged, 80 and over, Atrial Fibrillation, Cohort Studies, Diabetes Mellitus, European Continental Ancestry Group, Female, Heart Failure, Humans, Hypertension, Iceland, Incidence, Male, Middle Aged, Myocardial Infarction, Netherlands, Proportional Hazards Models, Risk Assessment, Smoking, United States}, issn = {2047-9980}, doi = {10.1161/JAHA.112.000102}, author = {Alonso, Alvaro and Krijthe, Bouwe P and Aspelund, Thor and Stepas, Katherine A and Pencina, Michael J and Moser, Carlee B and Sinner, Moritz F and Sotoodehnia, Nona and Fontes, Jo{\~a}o D and Janssens, A Cecile J W and Kronmal, Richard A and Magnani, Jared W and Witteman, Jacqueline C and Chamberlain, Alanna M and Lubitz, Steven A and Schnabel, Renate B and Agarwal, Sunil K and McManus, David D and Ellinor, Patrick T and Larson, Martin G and Burke, Gregory L and Launer, Lenore J and Hofman, Albert and Levy, Daniel and Gottdiener, John S and K{\"a}{\"a}b, Stefan and Couper, David and Harris, Tamara B and Soliman, Elsayed Z and Stricker, Bruno H C and Gudnason, Vilmundur and Heckbert, Susan R and Benjamin, Emelia J} } @article {6590, title = {Association of low-frequency and rare coding-sequence variants with blood lipids and coronary heart disease in 56,000 whites and blacks.}, journal = {Am J Hum Genet}, volume = {94}, year = {2014}, month = {2014 Feb 06}, pages = {223-32}, abstract = {

Low-frequency coding DNA sequence variants in the proprotein convertase subtilisin/kexin type 9 gene (PCSK9) lower plasma low-density lipoprotein cholesterol (LDL-C), protect against risk of coronary heart disease (CHD), and have prompted the development of a new class of therapeutics. It is uncertain whether the PCSK9 example represents a paradigm or an isolated exception. We used the "Exome Array" to genotype >200,000 low-frequency and rare coding sequence variants across the genome in 56,538 individuals (42,208 European ancestry [EA] and 14,330 African ancestry [AA]) and tested these variants for association with LDL-C, high-density lipoprotein cholesterol (HDL-C), and triglycerides. Although we did not identify new genes associated with LDL-C, we did identify four low-frequency (frequencies between 0.1\% and 2\%) variants (ANGPTL8 rs145464906 [c.361C>T; p.Gln121*], PAFAH1B2 rs186808413 [c.482C>T; p.Ser161Leu], COL18A1 rs114139997 [c.331G>A; p.Gly111Arg], and PCSK7 rs142953140 [c.1511G>A; p.Arg504His]) with large effects on HDL-C and/or triglycerides. None of these four variants was associated with risk for CHD, suggesting that examples of low-frequency coding variants with robust effects on both lipids and CHD will be limited.

}, keywords = {1-Alkyl-2-acetylglycerophosphocholine Esterase, Adult, African Continental Ancestry Group, Aged, Alleles, Animals, Cholesterol, HDL, Cholesterol, LDL, Cohort Studies, Coronary Disease, European Continental Ancestry Group, Female, Gene Frequency, Genetic Association Studies, Genetic Code, Genetic Variation, Humans, Linear Models, Male, Mice, Mice, Inbred C57BL, Microtubule-Associated Proteins, Middle Aged, Phenotype, Sequence Analysis, DNA, Subtilisins, Triglycerides}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2014.01.009}, author = {Peloso, Gina M and Auer, Paul L and Bis, Joshua C and Voorman, Arend and Morrison, Alanna C and Stitziel, Nathan O and Brody, Jennifer A and Khetarpal, Sumeet A and Crosby, Jacy R and Fornage, Myriam and Isaacs, Aaron and Jakobsdottir, Johanna and Feitosa, Mary F and Davies, Gail and Huffman, Jennifer E and Manichaikul, Ani and Davis, Brian and Lohman, Kurt and Joon, Aron Y and Smith, Albert V and Grove, Megan L and Zanoni, Paolo and Redon, Valeska and Demissie, Serkalem and Lawson, Kim and Peters, Ulrike and Carlson, Christopher and Jackson, Rebecca D and Ryckman, Kelli K and Mackey, Rachel H and Robinson, Jennifer G and Siscovick, David S and Schreiner, Pamela J and Mychaleckyj, Josyf C and Pankow, James S and Hofman, Albert and Uitterlinden, Andr{\'e} G and Harris, Tamara B and Taylor, Kent D and Stafford, Jeanette M and Reynolds, Lindsay M and Marioni, Riccardo E and Dehghan, Abbas and Franco, Oscar H and Patel, Aniruddh P and Lu, Yingchang and Hindy, George and Gottesman, Omri and Bottinger, Erwin P and Melander, Olle and Orho-Melander, Marju and Loos, Ruth J F and Duga, Stefano and Merlini, Piera Angelica and Farrall, Martin and Goel, Anuj and Asselta, Rosanna and Girelli, Domenico and Martinelli, Nicola and Shah, Svati H and Kraus, William E and Li, Mingyao and Rader, Daniel J and Reilly, Muredach P and McPherson, Ruth and Watkins, Hugh and Ardissino, Diego and Zhang, Qunyuan and Wang, Judy and Tsai, Michael Y and Taylor, Herman A and Correa, Adolfo and Griswold, Michael E and Lange, Leslie A and Starr, John M and Rudan, Igor and Eiriksdottir, Gudny and Launer, Lenore J and Ordovas, Jose M and Levy, Daniel and Chen, Y-D Ida and Reiner, Alexander P and Hayward, Caroline and Polasek, Ozren and Deary, Ian J and Borecki, Ingrid B and Liu, Yongmei and Gudnason, Vilmundur and Wilson, James G and van Duijn, Cornelia M and Kooperberg, Charles and Rich, Stephen S and Psaty, Bruce M and Rotter, Jerome I and O{\textquoteright}Donnell, Christopher J and Rice, Kenneth and Boerwinkle, Eric and Kathiresan, Sekar and Cupples, L Adrienne} } @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 {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 {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 {6809, title = {Plasma Levels of Soluble Interleukin-2 Receptor α: Associations With Clinical Cardiovascular Events and Genome-Wide Association Scan.}, journal = {Arterioscler Thromb Vasc Biol}, volume = {35}, year = {2015}, month = {2015 Oct}, pages = {2246-53}, abstract = {

OBJECTIVE: Interleukin (IL) -2 receptor subunit α regulates lymphocyte activation, which plays an important role in atherosclerosis. Associations between soluble IL-2Rα (sIL-2Rα) and cardiovascular disease (CVD) have not been widely studied and little is known about the genetic determinants of sIL-2Rα levels.

APPROACH AND RESULTS: We measured baseline levels of sIL-2Rα in 4408 European American (EA) and 766 African American (AA) adults from the Cardiovascular Health Study (CHS) and examined associations with baseline CVD risk factors, subclinical CVD, and incident CVD events. We also performed a genome-wide association study for sIL-2Rα in CHS (2964 EAs and 683 AAs) and further combined CHS EA results with those from two other EA cohorts in a meta-analysis (n=4464 EAs). In age, sex- and race- adjusted models, sIL-2Rα was positively associated with current smoking, type 2 diabetes mellitus, hypertension, insulin, waist circumference, C-reactive protein, IL-6, fibrinogen, internal carotid wall thickness, all-cause mortality, CVD mortality, and incident CVD, stroke, and heart failure. When adjusted for baseline CVD risk factors and subclinical CVD, associations with all-cause mortality, CVD mortality, and heart failure remained significant in both EAs and AAs. In the EA genome-wide association study analysis, we observed 52 single-nucleotide polymorphisms in the chromosome 10p15-14 region, which contains IL2RA, IL15RA, and RMB17, that reached genome-wide significance (P<5{\texttimes}10(-8)). The most significant single-nucleotide polymorphism was rs7911500 (P=1.31{\texttimes}10(-75)). The EA meta-analysis results were highly consistent with CHS-only results. No single-nucleotide polymorphisms reached statistical significance in the AAs.

CONCLUSIONS: These results support a role for sIL-2Rα in atherosclerosis and provide evidence for multiple-associated single-nucleotide polymorphisms at chromosome 10p15-14.

}, keywords = {Adult, African Americans, Age Distribution, Aged, Cardiovascular Diseases, Cohort Studies, Coronary Artery Disease, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Incidence, Interleukin-2 Receptor alpha Subunit, Kaplan-Meier Estimate, Male, Middle Aged, Polymorphism, Single Nucleotide, Proportional Hazards Models, Prospective Studies, Risk Assessment, Sex Distribution, Survival Analysis}, issn = {1524-4636}, doi = {10.1161/ATVBAHA.115.305289}, author = {Durda, Peter and Sabourin, Jeremy and Lange, Ethan M and Nalls, Mike A and Mychaleckyj, Josyf C and Jenny, Nancy Swords and Li, Jin and Walston, Jeremy and Harris, Tamara B and Psaty, Bruce M and Valdar, William and Liu, Yongmei and Cushman, Mary and Reiner, Alex P and Tracy, Russell P and Lange, Leslie A} } @article {6771, title = {Resting heart rate and risk of incident heart failure: three prospective cohort studies and a systematic meta-analysis.}, journal = {J Am Heart Assoc}, volume = {4}, year = {2015}, month = {2015 Jan}, pages = {e001364}, abstract = {

BACKGROUND: The relationship between resting heart rate (RHR) and incident heart failure (HF) has been questioned.

METHODS AND RESULTS: RHR was assessed at baseline in 7073 participants in 3 prospective cohorts (Cardiovascular Health Study, Health ABC study and Kuopio Ischemic Heart Disease Study) that recorded 1189 incident HF outcomes during 92 702 person-years of follow-up. Mean age of participants was 67 (9.9) years and mean RHR was 64.6 (11.1) bpm. Baseline RHR correlated (P<0.001) positively with body mass index (r=0.10), fasting glucose (r=0.18), and C-reactive protein (r=0.20); and inversely with serum creatinine (r=-0.05) and albumin (r=-0.05). Baseline RHR was non-linearly associated with HF risk. The age and sex-adjusted hazard ratio for HF comparing the top (>72 bpm) versus the bottom (<57 bpm) quartile of baseline RHR was 1.48 (95\% confidence interval [CI] 1.26 to 1.74) and was modestly attenuated (1.30, 95\% CI 1.10 to 1.53) with further adjustment for body mass index, history of diabetes, hypertension, smoking status, serum creatinine, and left ventricular hypertrophy. These findings remained consistent in analyses accounting for incident coronary heart disease, excluding individuals with prior cardiovascular events, or those taking beta-blockers; and in subgroups defined by several individual participant characteristics. In a pooled random effects meta-analysis of 7 population-based studies (43 051 participants and 3476 HF events), the overall hazard ratio comparing top versus bottom fourth of RHR was 1.40 (95\% CI: 1.19 to 1.64).

CONCLUSIONS: There is a non-linear association between RHR and incident HF. Further research is needed to understand the physiologic foundations of this association.

}, keywords = {Age Distribution, Aged, Aged, 80 and over, Aging, Cohort Studies, Female, Heart Failure, Heart Rate, Humans, Incidence, Japan, Male, Predictive Value of Tests, Prospective Studies, Rest, Risk Assessment, Severity of Illness Index, Sex Distribution, Survival Rate}, issn = {2047-9980}, doi = {10.1161/JAHA.114.001364}, author = {Khan, Hassan and Kunutsor, Setor and Kalogeropoulos, Andreas P and Georgiopoulou, Vasiliki V and Newman, Anne B and Harris, Tamara B and Bibbins-Domingo, Kirsten and Kauhanen, Jussi and Gheorghiade, Mihai and Fonarow, Gregg C and Kritchevsky, Stephen B and Laukkanen, Jari A and Butler, Javed} } @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 {8572, title = {Visit-to-Visit Blood Pressure Variability and Mortality and Cardiovascular Outcomes Among Older Adults: The Health, Aging, and Body Composition Study.}, journal = {Am J Hypertens}, volume = {30}, year = {2017}, month = {2017 Feb}, pages = {151-158}, abstract = {

BACKGROUND: Level of blood pressure (BP) is strongly associated with cardiovascular (CV) events and mortality. However, it is questionable whether mean BP can fully capture BP-related vascular risk. Increasing attention has been given to the value of visit-to-visit BP variability.

METHODS: We examined the association of visit-to-visit BP variability with mortality, incident myocardial infarction (MI), and incident stroke among 1,877 well-functioning elders in the Health, Aging, and Body Composition Study. We defined visit-to-visit diastolic BP (DBP) and systolic BP (SBP) variability as the root-mean-square error of person-specific linear regression of BP as a function of time. Alternatively, we counted the number of considerable BP increases and decreases (separately; 10mm Hg for DBP and 20mm Hg for SBP) between consecutive visits for each individual.

RESULTS: Over an average follow-up of 8.5 years, 623 deaths (207 from CV disease), 153 MIs, and 156 strokes occurred. The median visit-to-visit DBP and SBP variability was 4.96 mmHg and 8.53 mmHg, respectively. After multivariable adjustment, visit-to-visit DBP variability was related to higher all-cause (hazard ratio (HR) = 1.18 per 1 SD, 95\% confidence interval (CI) = 1.01-1.37) and CV mortality (HR = 1.35, 95\% CI = 1.05-1.73). Additionally, individuals having more considerable decreases of DBP (>=10mm Hg between 2 consecutive visits) had higher risk of all-cause (HR = 1.13, 95\% CI = 0.99-1.28) and CV mortality (HR = 1.30, 95\% CI = 1.05-1.61); considerable increases of SBP (>=20mm Hg) were associated with higher risk of all-cause (HR = 1.18, 95\% CI = 1.03-1.36) and CV mortality (HR = 1.37, 95\% CI = 1.08-1.74).

CONCLUSIONS: Visit-to-visit DBP variability and considerable changes in DBP and SBP were risk factors for mortality in the elderly.

}, keywords = {Aged, Aging, Blood Pressure, Blood Pressure Determination, Body Composition, California, Cohort Studies, Female, Health Status, Humans, Hypertension, Incidence, Longitudinal Studies, Male, Myocardial Infarction, Office Visits, Prognosis, Retrospective Studies, Risk Factors, Stroke, Survival Rate}, issn = {1941-7225}, doi = {10.1093/ajh/hpw106}, author = {Wu, Chenkai and Shlipak, Michael G and Stawski, Robert S and Peralta, Carmen A and Psaty, Bruce M and Harris, Tamara B and Satterfield, Suzanne and Shiroma, Eric J and Newman, Anne B and Odden, Michelle C} }