@article {986, title = {Common variants in the CRP gene in relation to longevity and cause-specific mortality in older adults: the Cardiovascular Health Study.}, journal = {Atherosclerosis}, volume = {197}, year = {2008}, month = {2008 Apr}, pages = {922-30}, abstract = {

Common polymorphisms in the CRP gene are associated with plasma CRP levels in population-based studies, but associations with age-related events are uncertain. A previous study of CRP haplotypes in older adults was broadened to include longevity and cause-specific mortality (all-cause, noncardiovascular (non-CV), and cardiovascular (CV)). Common haplotypes were inferred from four tagSNPs in 4512 whites and five tagSNPs in 812 blacks from the Cardiovascular Health Study, a longitudinal cohort of adults over age 65. Exploratory analyses addressed early versus late mortality. CRP haplotypes were not associated with all-cause mortality or longevity overall in either population, but associations with all-cause mortality differed during early and late periods. In blacks, the haplotype tagged by 3872A (rs1205) was associated with increased risk of non-CV mortality, relative to other haplotypes (adjusted hazard ratio for each additional copy: 1.42, 95\% CI: 1.07, 1.87). Relative to other haplotypes, this haplotype was associated with decreased risk of early but not decreased risk of late CV mortality in blacks; among whites, a haplotype tagged by 2667C (rs1800947) gave similar but nonsignificant findings. If confirmed, CRP genetic variants may be weakly associated with CV and non-CV mortality in older adults, particularly in self-identified blacks.

}, keywords = {African Americans, Aged, C-Reactive Protein, Cardiovascular Diseases, Cause of Death, Cohort Studies, Female, Genetic Predisposition to Disease, Haplotypes, Humans, Linear Models, Longevity, Male, Polymorphism, Single Nucleotide, Proportional Hazards Models, United States}, issn = {1879-1484}, doi = {10.1016/j.atherosclerosis.2007.08.012}, author = {Hindorff, Lucia A and Rice, Kenneth M and Lange, Leslie A and Diehr, Paula and Halder, Indrani and Walston, Jeremy and Kwok, Pui and Ziv, Elad and Nievergelt, Caroline and Cummings, Steven R and Newman, Anne B and Tracy, Russell P and Psaty, Bruce M and Reiner, Alexander P} } @article {1087, title = {Common variants at ten loci influence QT interval duration in the QTGEN Study.}, journal = {Nat Genet}, volume = {41}, year = {2009}, month = {2009 Apr}, pages = {399-406}, abstract = {

QT interval duration, reflecting myocardial repolarization on the electrocardiogram, is a heritable risk factor for sudden cardiac death and drug-induced arrhythmias. We conducted a meta-analysis of three genome-wide association studies in 13,685 individuals of European ancestry from the Framingham Heart Study, the Rotterdam Study and the Cardiovascular Health Study, as part of the QTGEN consortium. We observed associations at P < 5 x 10(-8) with variants in NOS1AP, KCNQ1, KCNE1, KCNH2 and SCN5A, known to be involved in myocardial repolarization and mendelian long-QT syndromes. Associations were found at five newly identified loci, including 16q21 near NDRG4 and GINS3, 6q22 near PLN, 1p36 near RNF207, 16p13 near LITAF and 17q12 near LIG3 and RFFL. Collectively, the 14 independent variants at these 10 loci explain 5.4-6.5\% of the variation in QT interval. These results, together with an accompanying paper, offer insights into myocardial repolarization and suggest candidate genes that could predispose to sudden cardiac death and drug-induced arrhythmias.

}, keywords = {Adaptor Proteins, Signal Transducing, Adult, Aged, Arrhythmias, Cardiac, Chromosome Mapping, Death, Sudden, Cardiac, Electroencephalography, ERG1 Potassium Channel, Ether-A-Go-Go Potassium Channels, European Continental Ancestry Group, Genetic Predisposition to Disease, Genetic Variation, Genome, Human, Humans, KCNQ1 Potassium Channel, Meta-Analysis as Topic, Muscle Proteins, NAV1.5 Voltage-Gated Sodium Channel, Polymorphism, Single Nucleotide, Potassium Channels, Voltage-Gated, Risk Factors, Sodium Channels}, issn = {1546-1718}, doi = {10.1038/ng.364}, author = {Newton-Cheh, Christopher and Eijgelsheim, Mark and Rice, Kenneth M and de Bakker, Paul I W and Yin, Xiaoyan and Estrada, Karol and Bis, Joshua C and Marciante, Kristin and Rivadeneira, Fernando and Noseworthy, Peter A and Sotoodehnia, Nona and Smith, Nicholas L and Rotter, Jerome I and Kors, Jan A and Witteman, Jacqueline C M and Hofman, Albert and Heckbert, Susan R and O{\textquoteright}Donnell, Christopher J and Uitterlinden, Andr{\'e} G and Psaty, Bruce M and Lumley, Thomas and Larson, Martin G and Stricker, Bruno H Ch} } @article {1114, title = {Variants in ZFHX3 are associated with atrial fibrillation in individuals of European ancestry.}, journal = {Nat Genet}, volume = {41}, year = {2009}, month = {2009 Aug}, pages = {879-81}, abstract = {

We conducted meta-analyses of genome-wide association studies for atrial fibrillation (AF) in participants from five community-based cohorts. Meta-analyses of 896 prevalent (15,768 referents) and 2,517 incident (21,337 referents) AF cases identified a new locus for AF (ZFHX3, rs2106261, risk ratio RR = 1.19; P = 2.3 x 10(-7)). We replicated this association in an independent cohort from the German AF Network (odds ratio = 1.44; P = 1.6 x 10(-11); combined RR = 1.25; combined P = 1.8 x 10(-15)).

}, keywords = {Atrial Fibrillation, Chromosomes, Human, Pair 16, European Continental Ancestry Group, Genetic Predisposition to Disease, Genome-Wide Association Study, Homeodomain Proteins, Humans, Meta-Analysis as Topic, Mutation, Polymorphism, Single Nucleotide, Reproducibility of Results}, issn = {1546-1718}, doi = {10.1038/ng.416}, author = {Benjamin, Emelia J and Rice, Kenneth M and Arking, Dan E and Pfeufer, Arne and van Noord, Charlotte and Smith, Albert V and Schnabel, Renate B and Bis, Joshua C and Boerwinkle, Eric and Sinner, Moritz F and Dehghan, Abbas and Lubitz, Steven A and D{\textquoteright}Agostino, Ralph B and Lumley, Thomas and Ehret, Georg B and Heeringa, Jan and Aspelund, Thor and Newton-Cheh, Christopher and Larson, Martin G and Marciante, Kristin D and Soliman, Elsayed Z and Rivadeneira, Fernando and Wang, Thomas J and Eiriksdottir, Gudny and Levy, Daniel and Psaty, Bruce M and Li, Man and Chamberlain, Alanna M and Hofman, Albert and Vasan, Ramachandran S and Harris, Tamara B and Rotter, Jerome I and Kao, W H Linda and Agarwal, Sunil K and Stricker, Bruno H Ch and Wang, Ke and Launer, Lenore J and Smith, Nicholas L and Chakravarti, Aravinda and Uitterlinden, Andr{\'e} G and Wolf, Philip A and Sotoodehnia, Nona and K{\"o}ttgen, Anna and van Duijn, Cornelia M and Meitinger, Thomas and Mueller, Martina and Perz, Siegfried and Steinbeck, Gerhard and Wichmann, H-Erich and Lunetta, Kathryn L and Heckbert, Susan R and Gudnason, Vilmundur and Alonso, Alvaro and K{\"a}{\"a}b, Stefan and Ellinor, Patrick T and Witteman, Jacqueline C M} } @article {1197, title = {Association of genome-wide variation with the risk of incident heart failure in adults of European and African ancestry: a prospective meta-analysis from the cohorts for heart and aging research in genomic epidemiology (CHARGE) consortium.}, journal = {Circ Cardiovasc Genet}, volume = {3}, year = {2010}, month = {2010 Jun}, pages = {256-66}, abstract = {

BACKGROUND: Although genetic factors contribute to the onset of heart failure (HF), no large-scale genome-wide investigation of HF risk has been published to date. We have investigated the association of 2,478,304 single-nucleotide polymorphisms with incident HF by meta-analyzing data from 4 community-based prospective cohorts: the Atherosclerosis Risk in Communities Study, the Cardiovascular Health Study, the Framingham Heart Study, and the Rotterdam Study.

METHODS AND RESULTS: Eligible participants for these analyses were of European or African ancestry and free of clinical HF at baseline. Each study independently conducted genome-wide scans and imputed data to the approximately 2.5 million single-nucleotide polymorphisms in HapMap. Within each study, Cox proportional hazards regression models provided age- and sex-adjusted estimates of the association between each variant and time to incident HF. Fixed-effect meta-analyses combined results for each single-nucleotide polymorphism from the 4 cohorts to produce an overall association estimate and P value. A genome-wide significance P value threshold was set a priori at 5.0x10(-7). During a mean follow-up of 11.5 years, 2526 incident HF events (12\%) occurred in 20 926 European-ancestry participants. The meta-analysis identified a genome-wide significant locus at chromosomal position 15q22 (1.4x10(-8)), which was 58.8 kb from USP3. Among 2895 African-ancestry participants, 466 incident HF events (16\%) occurred during a mean follow-up of 13.7 years. One genome-wide significant locus was identified at 12q14 (6.7x10(-8)), which was 6.3 kb from LRIG3.

CONCLUSIONS: We identified 2 loci that were associated with incident HF and exceeded genome-wide significance. The findings merit replication in other community-based settings of incident HF.

}, keywords = {African Americans, Aged, Aged, 80 and over, Cohort Studies, Endopeptidases, European Continental Ancestry Group, Female, Genome-Wide Association Study, Heart Failure, Humans, Incidence, Male, Middle Aged, Polymorphism, Single Nucleotide, Risk, Ubiquitin-Specific Proteases}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.109.895763}, author = {Smith, Nicholas L and Felix, Janine F and Morrison, Alanna C and Demissie, Serkalem and Glazer, Nicole L and Loehr, Laura R and Cupples, L Adrienne and Dehghan, Abbas and Lumley, Thomas and Rosamond, Wayne D and Lieb, Wolfgang and Rivadeneira, Fernando and Bis, Joshua C and Folsom, Aaron R and Benjamin, Emelia and Aulchenko, Yurii S and Haritunians, Talin and Couper, David and Murabito, Joanne and Wang, Ying A and Stricker, Bruno H and Gottdiener, John S and Chang, Patricia P and Wang, Thomas J and Rice, Kenneth M and Hofman, Albert and Heckbert, Susan R and Fox, Ervin R and O{\textquoteright}Donnell, Christopher J and Uitterlinden, Andr{\'e} G and Rotter, Jerome I and Willerson, James T and Levy, Daniel and van Duijn, Cornelia M and Psaty, Bruce M and Witteman, Jacqueline C M and Boerwinkle, Eric and Vasan, Ramachandran S} } @article {1206, title = {Common genetic variants associate with serum phosphorus concentration.}, journal = {J Am Soc Nephrol}, volume = {21}, year = {2010}, month = {2010 Jul}, pages = {1223-32}, abstract = {

Phosphorus is an essential mineral that maintains cellular energy and mineralizes the skeleton. Because complex actions of ion transporters and regulatory hormones regulate serum phosphorus concentrations, genetic variation may determine interindividual variation in phosphorus metabolism. Here, we report a comprehensive genome-wide association study of serum phosphorus concentration. We evaluated 16,264 participants of European ancestry from the Cardiovascular Heath Study, Atherosclerosis Risk in Communities Study, Framingham Offspring Study, and the Rotterdam Study. We excluded participants with an estimated GFR <45 ml/min per 1.73 m(2) to focus on phosphorus metabolism under normal conditions. We imputed genotypes to approximately 2.5 million single-nucleotide polymorphisms in the HapMap and combined study-specific findings using meta-analysis. We tested top polymorphisms from discovery cohorts in a 5444-person replication sample. Polymorphisms in seven loci with minor allele frequencies 0.08 to 0.49 associate with serum phosphorus concentration (P = 3.5 x 10(-16) to 3.6 x 10(-7)). Three loci were near genes encoding the kidney-specific type IIa sodium phosphate co-transporter (SLC34A1), the calcium-sensing receptor (CASR), and fibroblast growth factor 23 (FGF23), proteins that contribute to phosphorus metabolism. We also identified genes encoding phosphatases, kinases, and phosphodiesterases that have yet-undetermined roles in phosphorus homeostasis. In the replication sample, five of seven top polymorphisms associate with serum phosphorous concentrations (P < 0.05 for each). In conclusion, common genetic variants associate with serum phosphorus in the general population. Further study of the loci identified in this study may help elucidate mechanisms of phosphorus regulation.

}, keywords = {Adult, Aged, European Continental Ancestry Group, Female, Fibroblast Growth Factors, Gene Frequency, Genetic Loci, Genetic Variation, Genome-Wide Association Study, Humans, Kidney, Male, Middle Aged, Phosphorus, Polymorphism, Single Nucleotide, Receptors, Calcium-Sensing, Sex Factors, Sodium-Phosphate Cotransporter Proteins, Type IIa}, issn = {1533-3450}, doi = {10.1681/ASN.2009111104}, author = {Kestenbaum, Bryan and Glazer, Nicole L and K{\"o}ttgen, Anna and Felix, Janine F and Hwang, Shih-Jen and Liu, Yongmei and Lohman, Kurt and Kritchevsky, Stephen B and Hausman, Dorothy B and Petersen, Ann-Kristin and Gieger, Christian and Ried, Janina S and Meitinger, Thomas and Strom, Tim M and Wichmann, H Erich and Campbell, Harry and Hayward, Caroline and Rudan, Igor and de Boer, Ian H and Psaty, Bruce M and Rice, Kenneth M and Chen, Yii-Der Ida and Li, Man and Arking, Dan E and Boerwinkle, Eric and Coresh, Josef and Yang, Qiong and Levy, Daniel and van Rooij, Frank J A and Dehghan, Abbas and Rivadeneira, Fernando and Uitterlinden, Andr{\'e} G and Hofman, Albert and van Duijn, Cornelia M and Shlipak, Michael G and Kao, W H Linda and Witteman, Jacqueline C M and Siscovick, David S and Fox, Caroline S} } @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 {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 {1187, title = {Genomic variation associated with mortality among adults of European and African ancestry with heart failure: the cohorts for heart and aging research in genomic epidemiology consortium.}, journal = {Circ Cardiovasc Genet}, volume = {3}, year = {2010}, month = {2010 Jun}, pages = {248-55}, abstract = {

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

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

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

}, keywords = {African Americans, Aged, Aged, 80 and over, Chemokines, Cohort Studies, European Continental Ancestry Group, Female, Genome-Wide Association Study, Genotype, Heart Failure, Humans, Introns, Male, MARVEL Domain-Containing Proteins, Membrane Proteins, Middle Aged, Polymorphism, Single Nucleotide, Risk Factors}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.109.895995}, author = {Morrison, Alanna C and Felix, Janine F and Cupples, L Adrienne and Glazer, Nicole L and Loehr, Laura R and Dehghan, Abbas and Demissie, Serkalem and Bis, Joshua C and Rosamond, Wayne D and Aulchenko, Yurii S and Wang, Ying A and Haritunians, Talin and Folsom, Aaron R and Rivadeneira, Fernando and Benjamin, Emelia J and Lumley, Thomas and Couper, David and Stricker, Bruno H and O{\textquoteright}Donnell, Christopher J and Rice, Kenneth M and Chang, Patricia P and Hofman, Albert and Levy, Daniel and Rotter, Jerome I and Fox, Ervin R and Uitterlinden, Andr{\'e} G and Wang, Thomas J and Psaty, Bruce M and Willerson, James T and van Duijn, Cornelia M and Boerwinkle, Eric and Witteman, Jacqueline C M and Vasan, Ramachandran S and Smith, Nicholas L} } @article {1325, title = {Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk.}, journal = {Nature}, volume = {478}, year = {2011}, month = {2011 Sep 11}, pages = {103-9}, abstract = {

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

}, keywords = {Africa, Asia, Blood Pressure, Cardiovascular Diseases, Coronary Artery Disease, Europe, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Hypertension, Kidney Diseases, Polymorphism, Single Nucleotide, Stroke}, issn = {1476-4687}, doi = {10.1038/nature10405}, author = {Ehret, Georg B and Munroe, Patricia B and Rice, Kenneth M and Bochud, Murielle and Johnson, Andrew D and Chasman, Daniel I and Smith, Albert V and Tobin, Martin D and Verwoert, Germaine C and Hwang, Shih-Jen and Pihur, Vasyl and Vollenweider, Peter and O{\textquoteright}Reilly, Paul F and Amin, Najaf and Bragg-Gresham, Jennifer L and Teumer, Alexander and Glazer, Nicole L and Launer, Lenore and Zhao, Jing Hua and Aulchenko, Yurii and Heath, Simon and S{\~o}ber, Siim and Parsa, Afshin and Luan, Jian{\textquoteright}an and Arora, Pankaj and Dehghan, Abbas and Zhang, Feng and Lucas, Gavin and Hicks, Andrew A and Jackson, Anne U and Peden, John F and Tanaka, Toshiko and Wild, Sarah H and Rudan, Igor and Igl, Wilmar and Milaneschi, Yuri and Parker, Alex N and Fava, Cristiano and Chambers, John C and Fox, Ervin R and Kumari, Meena and Go, Min Jin and van der Harst, Pim and Kao, Wen Hong Linda and Sj{\"o}gren, Marketa and Vinay, D G and Alexander, Myriam and Tabara, Yasuharu and Shaw-Hawkins, Sue and Whincup, Peter H and Liu, Yongmei and Shi, Gang and Kuusisto, Johanna and Tayo, Bamidele and Seielstad, Mark and Sim, Xueling and Nguyen, Khanh-Dung Hoang and Lehtim{\"a}ki, Terho and Matullo, Giuseppe and Wu, Ying and Gaunt, Tom R and Onland-Moret, N Charlotte and Cooper, Matthew N and Platou, Carl G P and Org, Elin and Hardy, Rebecca and Dahgam, Santosh and Palmen, Jutta and Vitart, Veronique and Braund, Peter S and Kuznetsova, Tatiana and Uiterwaal, Cuno S P M and Adeyemo, Adebowale and Palmas, Walter and Campbell, Harry and Ludwig, Barbara and Tomaszewski, Maciej and Tzoulaki, Ioanna and Palmer, Nicholette D and Aspelund, Thor and Garcia, Melissa and Chang, Yen-Pei C and O{\textquoteright}Connell, Jeffrey R and Steinle, Nanette I and Grobbee, Diederick E and Arking, Dan E and Kardia, Sharon L and Morrison, Alanna C and Hernandez, Dena and Najjar, Samer and McArdle, Wendy L and Hadley, David and Brown, Morris J and Connell, John M and Hingorani, Aroon D and Day, Ian N M and Lawlor, Debbie A and Beilby, John P and Lawrence, Robert W and Clarke, Robert and Hopewell, Jemma C and Ongen, Halit and Dreisbach, Albert W and Li, Yali and Young, J Hunter and Bis, Joshua C and K{\"a}h{\"o}nen, Mika and Viikari, Jorma and Adair, Linda S and Lee, Nanette R and Chen, Ming-Huei and Olden, Matthias and Pattaro, Cristian and Bolton, Judith A Hoffman and K{\"o}ttgen, Anna and Bergmann, Sven and Mooser, Vincent and Chaturvedi, Nish and Frayling, Timothy M and Islam, Muhammad and Jafar, Tazeen H and Erdmann, Jeanette and Kulkarni, Smita R and Bornstein, Stefan R and Gr{\"a}ssler, J{\"u}rgen and Groop, Leif and Voight, Benjamin F and Kettunen, Johannes and Howard, Philip and Taylor, Andrew and Guarrera, Simonetta and Ricceri, Fulvio and Emilsson, Valur and Plump, Andrew and Barroso, In{\^e}s and Khaw, Kay-Tee and Weder, Alan B and Hunt, Steven C and Sun, Yan V and Bergman, Richard N and Collins, Francis S and Bonnycastle, Lori L and Scott, Laura J and Stringham, Heather M and Peltonen, Leena and Perola, Markus and Vartiainen, Erkki and Brand, Stefan-Martin and Staessen, Jan A and Wang, Thomas J and Burton, Paul R and Soler Artigas, Maria and Dong, Yanbin and Snieder, Harold and Wang, Xiaoling and Zhu, Haidong and Lohman, Kurt K and Rudock, Megan E and Heckbert, Susan R and Smith, Nicholas L and Wiggins, Kerri L and Doumatey, Ayo and Shriner, Daniel and Veldre, Gudrun and Viigimaa, Margus and Kinra, Sanjay and Prabhakaran, Dorairaj and Tripathy, Vikal and Langefeld, Carl D and Rosengren, Annika and Thelle, Dag S and Corsi, Anna Maria and Singleton, Andrew and Forrester, Terrence and Hilton, Gina and McKenzie, Colin A and Salako, Tunde and Iwai, Naoharu and Kita, Yoshikuni and Ogihara, Toshio and Ohkubo, Takayoshi and Okamura, Tomonori and Ueshima, Hirotsugu and Umemura, Satoshi and Eyheramendy, Susana and Meitinger, Thomas and Wichmann, H-Erich and Cho, Yoon Shin and Kim, Hyung-Lae and Lee, Jong-Young and Scott, James and Sehmi, Joban S and Zhang, Weihua and Hedblad, Bo and Nilsson, Peter and Smith, George Davey and Wong, Andrew and Narisu, Narisu and Stan{\v c}{\'a}kov{\'a}, Alena and Raffel, Leslie J and Yao, Jie and Kathiresan, Sekar and O{\textquoteright}Donnell, Christopher J and Schwartz, Stephen M and Ikram, M Arfan and Longstreth, W T and Mosley, Thomas H and Seshadri, Sudha and Shrine, Nick R G and Wain, Louise V and Morken, Mario A and Swift, Amy J and Laitinen, Jaana and Prokopenko, Inga and Zitting, Paavo and Cooper, Jackie A and Humphries, Steve E and Danesh, John and Rasheed, Asif and Goel, Anuj and Hamsten, Anders and Watkins, Hugh and Bakker, Stephan J L and van Gilst, Wiek H and Janipalli, Charles S and Mani, K Radha and Yajnik, Chittaranjan S and Hofman, Albert and Mattace-Raso, Francesco U S and Oostra, Ben A and Demirkan, Ayse and Isaacs, Aaron and Rivadeneira, Fernando and Lakatta, Edward G and Orr{\`u}, Marco and Scuteri, Angelo and Ala-Korpela, Mika and Kangas, Antti J and Lyytik{\"a}inen, Leo-Pekka and Soininen, Pasi and Tukiainen, Taru and W{\"u}rtz, Peter and Ong, Rick Twee-Hee and D{\"o}rr, Marcus and Kroemer, Heyo K and V{\"o}lker, Uwe and V{\"o}lzke, Henry and Galan, Pilar and Hercberg, Serge and Lathrop, Mark and Zelenika, Diana and Deloukas, Panos and Mangino, Massimo and Spector, Tim D and Zhai, Guangju and Meschia, James F and Nalls, Michael A and Sharma, Pankaj and Terzic, Janos and Kumar, M V Kranthi and Denniff, Matthew and Zukowska-Szczechowska, Ewa and Wagenknecht, Lynne E and Fowkes, F Gerald R and Charchar, Fadi J and Schwarz, Peter E H and Hayward, Caroline and Guo, Xiuqing and Rotimi, Charles and Bots, Michiel L and Brand, Eva and Samani, Nilesh J and Polasek, Ozren and Talmud, Philippa J and Nyberg, Fredrik and Kuh, Diana and Laan, Maris and Hveem, Kristian and Palmer, Lyle J and van der Schouw, Yvonne T and Casas, Juan P and Mohlke, Karen L and Vineis, Paolo and Raitakari, Olli and Ganesh, Santhi K and Wong, Tien Y and Tai, E Shyong and Cooper, Richard S and Laakso, Markku and Rao, Dabeeru C and Harris, Tamara B and Morris, Richard W and Dominiczak, Anna F and Kivimaki, Mika and Marmot, Michael G and Miki, Tetsuro and Saleheen, Danish and Chandak, Giriraj R and Coresh, Josef and Navis, Gerjan and Salomaa, Veikko and Han, Bok-Ghee and Zhu, Xiaofeng and Kooner, Jaspal S and Melander, Olle and Ridker, Paul M and Bandinelli, Stefania and Gyllensten, Ulf B and Wright, Alan F and Wilson, James F and Ferrucci, Luigi and Farrall, Martin and Tuomilehto, Jaakko and Pramstaller, Peter P and Elosua, Roberto and Soranzo, Nicole and Sijbrands, Eric J G and Altshuler, David and Loos, Ruth J F and Shuldiner, Alan R and Gieger, Christian and Meneton, Pierre and Uitterlinden, Andr{\'e} G and Wareham, Nicholas J and Gudnason, Vilmundur and Rotter, Jerome I and Rettig, Rainer and Uda, Manuela and Strachan, David P and Witteman, Jacqueline C M and Hartikainen, Anna-Liisa and Beckmann, Jacques S and Boerwinkle, Eric and Vasan, Ramachandran S and Boehnke, Michael and Larson, Martin G and Jarvelin, Marjo-Riitta and Psaty, Bruce M and Abecasis, Goncalo R and Chakravarti, Aravinda and Elliott, Paul and van Duijn, Cornelia M and Newton-Cheh, Christopher and Levy, Daniel and Caulfield, Mark J and Johnson, Toby} } @article {1324, title = {Genome-wide association study identifies six new loci influencing pulse pressure and mean arterial pressure.}, journal = {Nat Genet}, volume = {43}, year = {2011}, month = {2011 Sep 11}, pages = {1005-11}, abstract = {

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

}, keywords = {Arteries, Blood Pressure, Case-Control Studies, Follow-Up Studies, Genetic Loci, Genome-Wide Association Study, Humans, Hypertension, Linkage Disequilibrium, Polymorphism, Single Nucleotide}, issn = {1546-1718}, doi = {10.1038/ng.922}, author = {Wain, Louise V and Verwoert, Germaine C and O{\textquoteright}Reilly, Paul F and Shi, Gang and Johnson, Toby and Johnson, Andrew D and Bochud, Murielle and Rice, Kenneth M and Henneman, Peter and Smith, Albert V and Ehret, Georg B and Amin, Najaf and Larson, Martin G and Mooser, Vincent and Hadley, David and D{\"o}rr, Marcus and Bis, Joshua C and Aspelund, Thor and Esko, T{\~o}nu and Janssens, A Cecile J W and Zhao, Jing Hua and Heath, Simon and Laan, Maris and Fu, Jingyuan and Pistis, Giorgio and Luan, Jian{\textquoteright}an and Arora, Pankaj and Lucas, Gavin and Pirastu, Nicola and Pichler, Irene and Jackson, Anne U and Webster, Rebecca J and Zhang, Feng and Peden, John F and Schmidt, Helena and Tanaka, Toshiko and Campbell, Harry and Igl, Wilmar and Milaneschi, Yuri and Hottenga, Jouke-Jan and Vitart, Veronique and Chasman, Daniel I and Trompet, Stella and Bragg-Gresham, Jennifer L and Alizadeh, Behrooz Z and Chambers, John C and Guo, Xiuqing and Lehtim{\"a}ki, Terho and Kuhnel, Brigitte and Lopez, Lorna M and Polasek, Ozren and Boban, Mladen and Nelson, Christopher P and Morrison, Alanna C and Pihur, Vasyl and Ganesh, Santhi K and Hofman, Albert and Kundu, Suman and Mattace-Raso, Francesco U S and Rivadeneira, Fernando and Sijbrands, Eric J G and Uitterlinden, Andr{\'e} G and Hwang, Shih-Jen and Vasan, Ramachandran S and Wang, Thomas J and Bergmann, Sven and Vollenweider, Peter and Waeber, G{\'e}rard and Laitinen, Jaana and Pouta, Anneli and Zitting, Paavo and McArdle, Wendy L and Kroemer, Heyo K and V{\"o}lker, Uwe and V{\"o}lzke, Henry and Glazer, Nicole L and Taylor, Kent D and Harris, Tamara B and Alavere, Helene and Haller, Toomas and Keis, Aime and Tammesoo, Mari-Liis and Aulchenko, Yurii and Barroso, In{\^e}s and Khaw, Kay-Tee and Galan, Pilar and Hercberg, Serge and Lathrop, Mark and Eyheramendy, Susana and Org, Elin and S{\~o}ber, Siim and Lu, Xiaowen and Nolte, Ilja M and Penninx, Brenda W and Corre, Tanguy and Masciullo, Corrado and Sala, Cinzia and Groop, Leif and Voight, Benjamin F and Melander, Olle and O{\textquoteright}Donnell, Christopher J and Salomaa, Veikko and d{\textquoteright}Adamo, Adamo Pio and Fabretto, Antonella and Faletra, Flavio and Ulivi, Sheila and Del Greco, Fabiola M and Facheris, Maurizio and Collins, Francis S and Bergman, Richard N and Beilby, John P and Hung, Joseph and Musk, A William and Mangino, Massimo and Shin, So-Youn and Soranzo, Nicole and Watkins, Hugh and Goel, Anuj and Hamsten, Anders and Gider, Pierre and Loitfelder, Marisa and Zeginigg, Marion and Hernandez, Dena and Najjar, Samer S and Navarro, Pau and Wild, Sarah H and Corsi, Anna Maria and Singleton, Andrew and de Geus, Eco J C and Willemsen, Gonneke and Parker, Alex N and Rose, Lynda M and Buckley, Brendan and Stott, David and Orr{\`u}, Marco and Uda, Manuela and van der Klauw, Melanie M and Zhang, Weihua and Li, Xinzhong and Scott, James and Chen, Yii-Der Ida and Burke, Gregory L and K{\"a}h{\"o}nen, Mika and Viikari, Jorma and D{\"o}ring, Angela and Meitinger, Thomas and Davies, Gail and Starr, John M and Emilsson, Valur and Plump, Andrew and Lindeman, Jan H and Hoen, Peter A C {\textquoteright}t and K{\"o}nig, Inke R and Felix, Janine F and Clarke, Robert and Hopewell, Jemma C and Ongen, Halit and Breteler, Monique and Debette, Stephanie and DeStefano, Anita L and Fornage, Myriam and Mitchell, Gary F and Smith, Nicholas L and Holm, Hilma and Stefansson, Kari and Thorleifsson, Gudmar and Thorsteinsdottir, Unnur and Samani, Nilesh J and Preuss, Michael and Rudan, Igor and Hayward, Caroline and Deary, Ian J and Wichmann, H-Erich and Raitakari, Olli T and Palmas, Walter and Kooner, Jaspal S and Stolk, Ronald P and Jukema, J Wouter and Wright, Alan F and Boomsma, Dorret I and Bandinelli, Stefania and Gyllensten, Ulf B and Wilson, James F and Ferrucci, Luigi and Schmidt, Reinhold and Farrall, Martin and Spector, Tim D and Palmer, Lyle J and Tuomilehto, Jaakko and Pfeufer, Arne and Gasparini, Paolo and Siscovick, David and Altshuler, David and Loos, Ruth J F and Toniolo, Daniela and Snieder, Harold and Gieger, Christian and Meneton, Pierre and Wareham, Nicholas J and Oostra, Ben A and Metspalu, Andres and Launer, Lenore and Rettig, Rainer and Strachan, David P and Beckmann, Jacques S and Witteman, Jacqueline C M and Erdmann, Jeanette and van Dijk, Ko Willems and Boerwinkle, Eric and Boehnke, Michael and Ridker, Paul M and Jarvelin, Marjo-Riitta and Chakravarti, Aravinda and Abecasis, Goncalo R and Gudnason, Vilmundur and Newton-Cheh, Christopher and Levy, Daniel and Munroe, Patricia B and Psaty, Bruce M and Caulfield, Mark J and Rao, Dabeeru C and Tobin, Martin D and Elliott, Paul and van Duijn, Cornelia M} } @article {1341, title = {Eight genetic loci associated with variation in lipoprotein-associated phospholipase A2 mass and activity and coronary heart disease: meta-analysis of genome-wide association studies from five community-based studies.}, journal = {Eur Heart J}, volume = {33}, year = {2012}, month = {2012 Jan}, pages = {238-51}, abstract = {

AIMS: Lipoprotein-associated phospholipase A2 (Lp-PLA2) generates proinflammatory and proatherogenic compounds in the arterial vascular wall and is a potential therapeutic target in coronary heart disease (CHD). We searched for genetic loci related to Lp-PLA2 mass or activity by a genome-wide association study as part of the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium.

METHODS AND RESULTS: In meta-analyses of findings from five population-based studies, comprising 13 664 subjects, variants at two loci (PLA2G7, CETP) were associated with Lp-PLA2 mass. The strongest signal was at rs1805017 in PLA2G7 [P = 2.4 {\texttimes} 10(-23), log Lp-PLA2 difference per allele (beta): 0.043]. Variants at six loci were associated with Lp-PLA2 activity (PLA2G7, APOC1, CELSR2, LDL, ZNF259, SCARB1), among which the strongest signals were at rs4420638, near the APOE-APOC1-APOC4-APOC2 cluster [P = 4.9 {\texttimes} 10(-30); log Lp-PLA2 difference per allele (beta): -0.054]. There were no significant gene-environment interactions between these eight polymorphisms associated with Lp-PLA2 mass or activity and age, sex, body mass index, or smoking status. Four of the polymorphisms (in APOC1, CELSR2, SCARB1, ZNF259), but not PLA2G7, were significantly associated with CHD in a second study.

CONCLUSION: Levels of Lp-PLA2 mass and activity were associated with PLA2G7, the gene coding for this protein. Lipoprotein-associated phospholipase A2 activity was also strongly associated with genetic variants related to low-density lipoprotein cholesterol levels.

}, keywords = {1-Alkyl-2-acetylglycerophosphocholine Esterase, Aged, Coronary Artery Disease, Coronary Disease, Female, Genetic Loci, Genome-Wide Association Study, Humans, Male, Middle Aged, Phospholipases A2, Polymorphism, Single Nucleotide}, issn = {1522-9645}, doi = {10.1093/eurheartj/ehr372}, author = {Grallert, Harald and Dupuis, Jos{\'e}e and Bis, Joshua C and Dehghan, Abbas and Barbalic, Maja and Baumert, Jens and Lu, Chen and Smith, Nicholas L and Uitterlinden, Andr{\'e} G and Roberts, Robert and Khuseyinova, Natalie and Schnabel, Renate B and Rice, Kenneth M and Rivadeneira, Fernando and Hoogeveen, Ron C and Fontes, Jo{\~a}o Daniel and Meisinger, Christa and Keaney, John F and Lemaitre, Rozenn and Aulchenko, Yurii S and Vasan, Ramachandran S and Ellis, Stephen and Hazen, Stanley L and van Duijn, Cornelia M and Nelson, Jeanenne J and M{\"a}rz, Winfried and Schunkert, Heribert and McPherson, Ruth M and Stirnadel-Farrant, Heide A and Psaty, Bruce M and Gieger, Christian and Siscovick, David and Hofman, Albert and Illig, Thomas and Cushman, Mary and Yamamoto, Jennifer F and Rotter, Jerome I and Larson, Martin G and Stewart, Alexandre F R and Boerwinkle, Eric and Witteman, Jacqueline C M and Tracy, Russell P and Koenig, Wolfgang and Benjamin, Emelia J and Ballantyne, Christie M} } @article {1383, title = {Meta-analysis identifies six new susceptibility loci for atrial fibrillation.}, journal = {Nat Genet}, volume = {44}, year = {2012}, month = {2012 Apr 29}, pages = {670-5}, abstract = {

Atrial fibrillation is a highly prevalent arrhythmia and a major risk factor for stroke, heart failure and death. We conducted a genome-wide association study (GWAS) in individuals of European ancestry, including 6,707 with and 52,426 without atrial fibrillation. Six new atrial fibrillation susceptibility loci were identified and replicated in an additional sample of individuals of European ancestry, including 5,381 subjects with and 10,030 subjects without atrial fibrillation (P < 5 {\texttimes} 10(-8)). Four of the loci identified in Europeans were further replicated in silico in a GWAS of Japanese individuals, including 843 individuals with and 3,350 individuals without atrial fibrillation. The identified loci implicate candidate genes that encode transcription factors related to cardiopulmonary development, cardiac-expressed ion channels and cell signaling molecules.

}, keywords = {Adolescent, Adult, Aged, Aged, 80 and over, Asian Continental Ancestry Group, Atrial Fibrillation, Child, Child, Preschool, European Continental Ancestry Group, Female, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Infant, Infant, Newborn, Male, Middle Aged, Polymorphism, Single Nucleotide, Risk Factors, Young Adult}, issn = {1546-1718}, doi = {10.1038/ng.2261}, author = {Ellinor, Patrick T and Lunetta, Kathryn L and Albert, Christine M and Glazer, Nicole L and Ritchie, Marylyn D and Smith, Albert V and Arking, Dan E and M{\"u}ller-Nurasyid, Martina and Krijthe, Bouwe P and Lubitz, Steven A and Bis, Joshua C and Chung, Mina K and D{\"o}rr, Marcus and Ozaki, Kouichi and Roberts, Jason D and Smith, J Gustav and Pfeufer, Arne and Sinner, Moritz F and Lohman, Kurt and Ding, Jingzhong and Smith, Nicholas L and Smith, Jonathan D and Rienstra, Michiel and Rice, Kenneth M and Van Wagoner, David R and Magnani, Jared W and Wakili, Reza and Clauss, Sebastian and Rotter, Jerome I and Steinbeck, Gerhard and Launer, Lenore J and Davies, Robert W and Borkovich, Matthew and Harris, Tamara B and Lin, Honghuang and V{\"o}lker, Uwe and V{\"o}lzke, Henry and Milan, David J and Hofman, Albert and Boerwinkle, Eric and Chen, Lin Y and Soliman, Elsayed Z and Voight, Benjamin F and Li, Guo and Chakravarti, Aravinda and Kubo, Michiaki and Tedrow, Usha B and Rose, Lynda M and Ridker, Paul M and Conen, David and Tsunoda, Tatsuhiko and Furukawa, Tetsushi and Sotoodehnia, Nona and Xu, Siyan and Kamatani, Naoyuki and Levy, Daniel and Nakamura, Yusuke and Parvez, Babar and Mahida, Saagar and Furie, Karen L and Rosand, Jonathan and Muhammad, Raafia and Psaty, Bruce M and Meitinger, Thomas and Perz, Siegfried and Wichmann, H-Erich and Witteman, Jacqueline C M and Kao, W H Linda and Kathiresan, Sekar and Roden, Dan M and Uitterlinden, Andr{\'e} G and Rivadeneira, Fernando and McKnight, Barbara and Sj{\"o}gren, Marketa and Newman, Anne B and Liu, Yongmei and Gollob, Michael H and Melander, Olle and Tanaka, Toshihiro and Stricker, Bruno H Ch and Felix, Stephan B and Alonso, Alvaro and Darbar, Dawood and Barnard, John and Chasman, Daniel I and Heckbert, Susan R and Benjamin, Emelia J and Gudnason, Vilmundur and K{\"a}{\"a}b, Stefan} } @article {6029, title = {A genome-wide association study for venous thromboembolism: the extended cohorts for heart and aging research in genomic epidemiology (CHARGE) consortium.}, journal = {Genet Epidemiol}, volume = {37}, year = {2013}, month = {2013 Jul}, pages = {512-521}, abstract = {

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

}, keywords = {Aged, Aging, Case-Control Studies, Cohort Studies, Female, Genome-Wide Association Study, Humans, Male, Meta-Analysis as Topic, Middle Aged, Polymorphism, Single Nucleotide, Regression Analysis, Risk Factors, Venous Thromboembolism}, issn = {1098-2272}, doi = {10.1002/gepi.21731}, author = {Tang, Weihong and Teichert, Martina and Chasman, Daniel I and Heit, John A and Morange, Pierre-Emmanuel and Li, Guo and Pankratz, Nathan and Leebeek, Frank W and Par{\'e}, Guillaume and de Andrade, Mariza and Tzourio, Christophe and Psaty, Bruce M and Basu, Saonli and Ruiter, Rikje and Rose, Lynda and Armasu, Sebastian M and Lumley, Thomas and Heckbert, Susan R and Uitterlinden, Andr{\'e} G and Lathrop, Mark and Rice, Kenneth M and Cushman, Mary and Hofman, Albert and Lambert, Jean-Charles and Glazer, Nicole L and Pankow, James S and Witteman, Jacqueline C and Amouyel, Philippe and Bis, Joshua C and Bovill, Edwin G and Kong, Xiaoxiao and Tracy, Russell P and Boerwinkle, Eric and Rotter, Jerome I and Tr{\'e}gou{\"e}t, David-Alexandre and Loth, Daan W and Stricker, Bruno H Ch and Ridker, Paul M and Folsom, Aaron R and Smith, Nicholas L} } @article {6578, title = {Strategies to design and analyze targeted sequencing data: cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium Targeted Sequencing Study.}, journal = {Circ Cardiovasc Genet}, volume = {7}, year = {2014}, month = {2014 Jun}, pages = {335-43}, abstract = {

BACKGROUND: Genome-wide association studies have identified thousands of genetic variants that influence a variety of diseases and health-related quantitative traits. However, the causal variants underlying the majority of genetic associations remain unknown. Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium Targeted Sequencing Study aims to follow up genome-wide association study signals and identify novel associations of the allelic spectrum of identified variants with cardiovascular-related traits.

METHODS AND RESULTS: The study included 4231 participants from 3 CHARGE cohorts: the Atherosclerosis Risk in Communities Study, the Cardiovascular Health Study, and the Framingham Heart Study. We used a case-cohort design in which we selected both a random sample of participants and participants with extreme phenotypes for each of 14 traits. We sequenced and analyzed 77 genomic loci, which had previously been associated with >=1 of 14 phenotypes. A total of 52 736 variants were characterized by sequencing and passed our stringent quality control criteria. For common variants (minor allele frequency >=1\%), we performed unweighted regression analyses to obtain P values for associations and weighted regression analyses to obtain effect estimates that accounted for the sampling design. For rare variants, we applied 2 approaches: collapsed aggregate statistics and joint analysis of variants using the sequence kernel association test.

CONCLUSIONS: We sequenced 77 genomic loci in participants from 3 cohorts. We established a set of filters to identify high-quality variants and implemented statistical and bioinformatics strategies to analyze the sequence data and identify potentially functional variants within genome-wide association study loci.

}, keywords = {Adult, Aged, Aged, 80 and over, Aging, Cohort Studies, Female, Genetic Variation, Genome-Wide Association Study, Genomics, Heart Diseases, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Research Design, Sequence Analysis, DNA}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.113.000350}, author = {Lin, Honghuang and Wang, Min and Brody, Jennifer A and Bis, Joshua C and Dupuis, Jos{\'e}e and Lumley, Thomas and McKnight, Barbara and Rice, Kenneth M and Sitlani, Colleen M and Reid, Jeffrey G and Bressler, Jan and Liu, Xiaoming and Davis, Brian C and Johnson, Andrew D and O{\textquoteright}Donnell, Christopher J and Kovar, Christie L and Dinh, Huyen and Wu, Yuanqing and Newsham, Irene and Chen, Han and Broka, Andi and DeStefano, Anita L and Gupta, Mayetri and Lunetta, Kathryn L and Liu, Ching-Ti and White, Charles C and Xing, Chuanhua and Zhou, Yanhua and Benjamin, Emelia J and Schnabel, Renate B and Heckbert, Susan R and Psaty, Bruce M and Muzny, Donna M and Cupples, L Adrienne and Morrison, Alanna C and Boerwinkle, Eric} } @article {6602, title = {Generalized estimating equations for genome-wide association studies using longitudinal phenotype data.}, journal = {Stat Med}, volume = {34}, year = {2015}, month = {2015 Jan 15}, pages = {118-30}, abstract = {

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

}, keywords = {Aged, Aging, Cardiovascular Diseases, Cohort Studies, Computer Simulation, Cross-Sectional Studies, Epidemiologic Research Design, Gene-Environment Interaction, Genetic Variation, Genome, Human, Genome-Wide Association Study, Humans, Longitudinal Studies, Meta-Analysis as Topic, Models, Genetic, Pharmacogenetics, Risk Assessment, United States}, issn = {1097-0258}, doi = {10.1002/sim.6323}, author = {Sitlani, Colleen M and Rice, Kenneth M and Lumley, Thomas and McKnight, Barbara and Cupples, L Adrienne and Avery, Christy L and Noordam, Raymond and Stricker, Bruno H C and Whitsel, Eric A and Psaty, Bruce M} } @article {6683, title = {Multiethnic genome-wide association study of cerebral white matter hyperintensities on MRI.}, journal = {Circ Cardiovasc Genet}, volume = {8}, year = {2015}, month = {2015 Apr}, pages = {398-409}, abstract = {

BACKGROUND: The burden of cerebral white matter hyperintensities (WMH) is associated with an increased risk of stroke, dementia, and death. WMH are highly heritable, but their genetic underpinnings are incompletely characterized. To identify novel genetic variants influencing WMH burden, we conducted a meta-analysis of multiethnic genome-wide association studies.

METHODS AND RESULTS: We included 21 079 middle-aged to elderly individuals from 29 population-based cohorts, who were free of dementia and stroke and were of European (n=17 936), African (n=1943), Hispanic (n=795), and Asian (n=405) descent. WMH burden was quantified on MRI either by a validated automated segmentation method or a validated visual grading scale. Genotype data in each study were imputed to the 1000 Genomes reference. Within each ethnic group, we investigated the relationship between each single-nucleotide polymorphism and WMH burden using a linear regression model adjusted for age, sex, intracranial volume, and principal components of ancestry. A meta-analysis was conducted for each ethnicity separately and for the combined sample. In the European descent samples, we confirmed a previously known locus on chr17q25 (P=2.7{\texttimes}10(-19)) and identified novel loci on chr10q24 (P=1.6{\texttimes}10(-9)) and chr2p21 (P=4.4{\texttimes}10(-8)). In the multiethnic meta-analysis, we identified 2 additional loci, on chr1q22 (P=2.0{\texttimes}10(-8)) and chr2p16 (P=1.5{\texttimes}10(-8)). The novel loci contained genes that have been implicated in Alzheimer disease (chr2p21 and chr10q24), intracerebral hemorrhage (chr1q22), neuroinflammatory diseases (chr2p21), and glioma (chr10q24 and chr2p16).

CONCLUSIONS: We identified 4 novel genetic loci that implicate inflammatory and glial proliferative pathways in the development of WMH in addition to previously proposed ischemic mechanisms.

}, keywords = {Aged, Aged, 80 and over, Chromosomes, Human, Continental Population Groups, Female, Genetic Loci, Genome-Wide Association Study, Humans, Male, Meta-Analysis as Topic, Middle Aged, Models, Genetic, Stroke, White Matter}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.114.000858}, author = {Verhaaren, Benjamin F J and Debette, Stephanie and Bis, Joshua C and Smith, Jennifer A and Ikram, M Kamran and Adams, Hieab H and Beecham, Ashley H and Rajan, Kumar B and Lopez, Lorna M and Barral, Sandra and van Buchem, Mark A and van der Grond, Jeroen and Smith, Albert V and Hegenscheid, Katrin and Aggarwal, Neelum T and de Andrade, Mariza and Atkinson, Elizabeth J and Beekman, Marian and Beiser, Alexa S and Blanton, Susan H and Boerwinkle, Eric and Brickman, Adam M and Bryan, R Nick and Chauhan, Ganesh and Chen, Christopher P L H and Chouraki, Vincent and de Craen, Anton J M and Crivello, Fabrice and Deary, Ian J and Deelen, Joris and De Jager, Philip L and Dufouil, Carole and Elkind, Mitchell S V and Evans, Denis A and Freudenberger, Paul and Gottesman, Rebecca F and Gu{\dh}nason, Vilmundur and Habes, Mohamad and Heckbert, Susan R and Heiss, Gerardo and Hilal, Saima and Hofer, Edith and Hofman, Albert and Ibrahim-Verbaas, Carla A and Knopman, David S and Lewis, Cora E and Liao, Jiemin and Liewald, David C M and Luciano, Michelle and van der Lugt, Aad and Martinez, Oliver O and Mayeux, Richard and Mazoyer, Bernard and Nalls, Mike and Nauck, Matthias and Niessen, Wiro J and Oostra, Ben A and Psaty, Bruce M and Rice, Kenneth M and Rotter, Jerome I and von Sarnowski, Bettina and Schmidt, Helena and Schreiner, Pamela J and Schuur, Maaike and Sidney, Stephen S and Sigurdsson, Sigurdur and Slagboom, P Eline and Stott, David J M and van Swieten, John C and Teumer, Alexander and T{\"o}glhofer, Anna Maria and Traylor, Matthew and Trompet, Stella and Turner, Stephen T and Tzourio, Christophe and Uh, Hae-Won and Uitterlinden, Andr{\'e} G and Vernooij, Meike W and Wang, Jing J and Wong, Tien Y and Wardlaw, Joanna M and Windham, B Gwen and Wittfeld, Katharina and Wolf, Christiane and Wright, Clinton B and Yang, Qiong and Zhao, Wei and Zijdenbos, Alex and Jukema, J Wouter and Sacco, Ralph L and Kardia, Sharon L R and Amouyel, Philippe and Mosley, Thomas H and Longstreth, W T and DeCarli, Charles C and van Duijn, Cornelia M and Schmidt, Reinhold and Launer, Lenore J and Grabe, Hans J and Seshadri, Sudha S and Ikram, M Arfan and Fornage, Myriam} } @article {6561, title = {Variation in resting heart rate over 4 years and the risks of myocardial infarction and death among older adults.}, journal = {Heart}, volume = {101}, year = {2015}, month = {2015 Jan}, pages = {132-8}, abstract = {

OBJECTIVE: Resting heart rate (RHR) is an established predictor of myocardial infarction (MI) and mortality, but the relationship between variation in RHR over a period of several years and health outcomes is unclear. We evaluated the relationship between long-term variation in RHR and the risks of incident MI and mortality among older adults.

METHODS: 1991 subjects without cardiovascular disease from the Cardiovascular Health Study were included. RHR was taken from resting ECGs at the first five annual study visits. RHR mean, trend and variation were estimated with linear regression. Subjects were followed for incident MI and death until December 2010. HRs for RHR mean, trend and variation are reported for differences of 10 bpm, 2 bpm/year and 2 bpm, respectively.

RESULTS: 262 subjects had an incident MI event (13\%) and 1326 died (67\%) during 12 years of median follow-up. In primary analyses adjusted for cardiovascular risk factors, RHR mean (HR 1.12; 95\% CI 1.05 to 1.20) and variation (HR 1.08; 95\% CI 1.03 to 1.13) were associated with the risk of death while trend was not. None of the RHR variables were significantly associated with the risk of incident MI events; however, CIs were wide and the MI associations with RHR variables were not significantly different from the mortality associations. Adjusting for additional variables did not affect estimates, and there were no significant interactions with sex.

CONCLUSIONS: Variation in RHR over a period of several years represents a potential predictor of long-term mortality among older persons free of cardiovascular disease.

}, keywords = {Aged, Aged, 80 and over, Cause of Death, Electrocardiography, Female, Follow-Up Studies, Heart Rate, Humans, Incidence, Linear Models, Male, Myocardial Infarction, Outcome Assessment (Health Care), Prognosis, Proportional Hazards Models, Prospective Studies, Rest, Risk Factors, Time, Washington}, issn = {1468-201X}, doi = {10.1136/heartjnl-2014-306046}, author = {Floyd, James S and Sitlani, Colleen M and Wiggins, Kerri L and Wallace, Erin and Suchy-Dicey, Astrid and Abbasi, Siddique A and Carnethon, Mercedes R and Siscovick, David S and Sotoodehnia, Nona and Heckbert, Susan R and McKnight, Barbara and Rice, Kenneth M and Psaty, Bruce M} } @article {7144, title = {Discovery of Genetic Variation on Chromosome 5q22 Associated with Mortality in Heart Failure.}, journal = {PLoS Genet}, volume = {12}, year = {2016}, month = {2016 May}, pages = {e1006034}, abstract = {

Failure of the human heart to maintain sufficient output of blood for the demands of the body, heart failure, is a common condition with high mortality even with modern therapeutic alternatives. To identify molecular determinants of mortality in patients with new-onset heart failure, we performed a meta-analysis of genome-wide association studies and follow-up genotyping in independent populations. We identified and replicated an association for a genetic variant on chromosome 5q22 with 36\% increased risk of death in subjects with heart failure (rs9885413, P = 2.7x10-9). We provide evidence from reporter gene assays, computational predictions and epigenomic marks that this polymorphism increases activity of an enhancer region active in multiple human tissues. The polymorphism was further reproducibly associated with a DNA methylation signature in whole blood (P = 4.5x10-40) that also associated with allergic sensitization and expression in blood of the cytokine TSLP (P = 1.1x10-4). Knockdown of the transcription factor predicted to bind the enhancer region (NHLH1) in a human cell line (HEK293) expressing NHLH1 resulted in lower TSLP expression. In addition, we observed evidence of recent positive selection acting on the risk allele in populations of African descent. Our findings provide novel genetic leads to factors that influence mortality in patients with heart failure.

}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1006034}, author = {Smith, J Gustav and Felix, Janine F and Morrison, Alanna C and Kalogeropoulos, Andreas and Trompet, Stella and Wilk, Jemma B and Gidl{\"o}f, Olof and Wang, Xinchen and Morley, Michael and Mendelson, Michael and Joehanes, Roby and Ligthart, Symen and Shan, Xiaoyin and Bis, Joshua C and Wang, Ying A and Sj{\"o}gren, Marketa and Ngwa, Julius and Brandimarto, Jeffrey and Stott, David J and Aguilar, David and Rice, Kenneth M and Sesso, Howard D and Demissie, Serkalem and Buckley, Brendan M and Taylor, Kent D and Ford, Ian and Yao, Chen and Liu, Chunyu and Sotoodehnia, Nona and van der Harst, Pim and Stricker, Bruno H Ch and Kritchevsky, Stephen B and Liu, Yongmei and Gaziano, J Michael and Hofman, Albert and Moravec, Christine S and Uitterlinden, Andr{\'e} G and Kellis, Manolis and van Meurs, Joyce B and Margulies, Kenneth B and Dehghan, Abbas and Levy, Daniel and Olde, Bj{\"o}rn and Psaty, Bruce M and Cupples, L Adrienne and Jukema, J Wouter and Djouss{\'e}, Luc and Franco, Oscar H and Boerwinkle, Eric and Boyer, Laurie A and Newton-Cheh, Christopher and Butler, Javed and Vasan, Ramachandran S and Cappola, Thomas P and Smith, Nicholas L} } @article {7138, title = {Exome Genotyping Identifies Pleiotropic Variants Associated with Red Blood Cell Traits.}, journal = {Am J Hum Genet}, volume = {99}, year = {2016}, month = {2016 Jul 7}, pages = {8-21}, abstract = {

Red blood cell (RBC) traits are important heritable clinical biomarkers and modifiers of disease severity. To identify coding genetic variants associated with these traits, we conducted meta-analyses of seven RBC phenotypes in 130,273 multi-ethnic individuals from~studies genotyped on an exome array. After conditional analyses and replication in 27,480 independent individuals, we identified 16 new RBC variants. We found low-frequency missense variants in MAP1A (rs55707100, minor allele frequency [MAF] = 3.3\%, p = 2~{\texttimes}~10(-10) for hemoglobin [HGB]) and HNF4A (rs1800961, MAF = 2.4\%, p < 3~{\texttimes} 10(-8) for hematocrit [HCT] and HGB). In African Americans, we identified a nonsense variant in CD36 associated with higher RBC distribution width (rs3211938, MAF = 8.7\%, p = 7~{\texttimes} 10(-11)) and showed that it is associated with lower CD36 expression and strong allelic imbalance in ex~vivo differentiated human erythroblasts. We also identified a rare missense variant in ALAS2 (rs201062903, MAF = 0.2\%) associated with lower mean corpuscular volume and mean corpuscular hemoglobin (p < 8~{\texttimes} 10(-9)). Mendelian mutations in ALAS2 are a cause of sideroblastic anemia and erythropoietic protoporphyria. Gene-based testing highlighted three rare missense variants in PKLR, a gene mutated in Mendelian non-spherocytic hemolytic anemia, associated with HGB and HCT (SKAT p < 8~{\texttimes} 10(-7)). These rare, low-frequency, and common RBC variants showed pleiotropy, being also associated with platelet, white blood cell, and lipid traits. Our association results and functional annotation suggest the involvement of new genes in human erythropoiesis. We also confirm that rare and low-frequency variants play a role in the architecture of complex human traits, although their phenotypic effect is generally smaller than originally anticipated.

}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2016.05.007}, author = {Chami, Nathalie and Chen, Ming-Huei and Slater, Andrew J and Eicher, John D and Evangelou, Evangelos and Tajuddin, Salman M and Love-Gregory, Latisha and Kacprowski, Tim and Schick, Ursula M and Nomura, Akihiro and Giri, Ayush and Lessard, Samuel and Brody, Jennifer A and Schurmann, Claudia and Pankratz, Nathan and Yanek, Lisa R and Manichaikul, Ani and Pazoki, Raha and Mihailov, Evelin and Hill, W David and Raffield, Laura M and Burt, Amber and Bartz, Traci M and Becker, Diane M and Becker, Lewis C and Boerwinkle, Eric and Bork-Jensen, Jette and Bottinger, Erwin P and O{\textquoteright}Donoghue, Michelle L and Crosslin, David R and de Denus, Simon and Dub{\'e}, Marie-Pierre and Elliott, Paul and Engstr{\"o}m, Gunnar and Evans, Michele K and Floyd, James S and Fornage, Myriam and Gao, He and Greinacher, Andreas and Gudnason, Vilmundur and Hansen, Torben and Harris, Tamara B and Hayward, Caroline and Hernesniemi, Jussi and Highland, Heather M and Hirschhorn, Joel N and Hofman, Albert and Irvin, Marguerite R and K{\"a}h{\"o}nen, Mika and Lange, Ethan and Launer, Lenore J and Lehtim{\"a}ki, Terho and Li, Jin and Liewald, David C M and Linneberg, Allan and Liu, Yongmei and Lu, Yingchang and Lyytik{\"a}inen, Leo-Pekka and M{\"a}gi, Reedik and Mathias, Rasika A and Melander, Olle and Metspalu, Andres and Mononen, Nina and Nalls, Mike A and Nickerson, Deborah A and Nikus, Kjell and O{\textquoteright}Donnell, Chris J and Orho-Melander, Marju and Pedersen, Oluf and Petersmann, Astrid and Polfus, Linda and Psaty, Bruce M and Raitakari, Olli T and Raitoharju, Emma and Richard, Melissa and Rice, Kenneth M and Rivadeneira, Fernando and Rotter, Jerome I and Schmidt, Frank and Smith, Albert Vernon and Starr, John M and Taylor, Kent D and Teumer, Alexander and Thuesen, Betina H and Torstenson, Eric S and Tracy, Russell P and Tzoulaki, Ioanna and Zakai, Neil A and Vacchi-Suzzi, Caterina and van Duijn, Cornelia M and van Rooij, Frank J A and Cushman, Mary and Deary, Ian J and Velez Edwards, Digna R and Vergnaud, Anne-Claire and Wallentin, Lars and Waterworth, Dawn M and White, Harvey D and Wilson, James G and Zonderman, Alan B and Kathiresan, Sekar and Grarup, Niels and Esko, T{\~o}nu and Loos, Ruth J F and Lange, Leslie A and Faraday, Nauder and Abumrad, Nada A and Edwards, Todd L and Ganesh, Santhi K and Auer, Paul L and Johnson, Andrew D and Reiner, Alexander P and Lettre, Guillaume} } @article {7136, title = {General Framework for Meta-Analysis of Haplotype Association Tests.}, journal = {Genet Epidemiol}, volume = {40}, year = {2016}, month = {2016 Apr}, pages = {244-52}, abstract = {

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

}, issn = {1098-2272}, doi = {10.1002/gepi.21959}, author = {Wang, Shuai and Zhao, Jing Hua and An, Ping and Guo, Xiuqing and Jensen, Richard A and Marten, Jonathan and Huffman, Jennifer E and Meidtner, Karina and Boeing, Heiner and Campbell, Archie and Rice, Kenneth M and Scott, Robert A and Yao, Jie and Schulze, Matthias B and Wareham, Nicholas J and Borecki, Ingrid B and Province, Michael A and Rotter, Jerome I and Hayward, Caroline and Goodarzi, Mark O and Meigs, James B and Dupuis, Jos{\'e}e} } @article {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 {7256, title = {KLB is associated with alcohol drinking, and its gene product β-Klotho is necessary for FGF21 regulation of alcohol preference.}, journal = {Proc Natl Acad Sci U S A}, volume = {113}, year = {2016}, month = {2016 Dec 13}, pages = {14372-14377}, abstract = {

Excessive alcohol consumption is a major public health problem worldwide. Although drinking habits are known to be inherited, few genes have been identified that are robustly linked to alcohol drinking. We conducted a genome-wide association metaanalysis and replication study among >105,000 individuals of European ancestry and identified β-Klotho (KLB) as a locus associated with alcohol consumption (rs11940694; P = 9.2 {\texttimes} 10(-12)). β-Klotho is an obligate coreceptor for the hormone FGF21, which is secreted from the liver and implicated in macronutrient preference in humans. We show that brain-specific β-Klotho KO mice have an increased alcohol preference and that FGF21 inhibits alcohol drinking by acting on the brain. These data suggest that a liver-brain endocrine axis may play an important role in the regulation of alcohol drinking behavior and provide a unique pharmacologic target for reducing alcohol consumption.

}, issn = {1091-6490}, doi = {10.1073/pnas.1611243113}, author = {Schumann, Gunter and Liu, Chunyu and O{\textquoteright}Reilly, Paul and Gao, He and Song, Parkyong and Xu, Bing and Ruggeri, Barbara and Amin, Najaf and Jia, Tianye and Preis, Sarah and Segura Lepe, Marcelo and Akira, Shizuo and Barbieri, Caterina and Baumeister, Sebastian and Cauchi, Stephane and Clarke, Toni-Kim and Enroth, Stefan and Fischer, Krista and H{\"a}llfors, Jenni and Harris, Sarah E and Hieber, Saskia and Hofer, Edith and Hottenga, Jouke-Jan and Johansson, Asa and Joshi, Peter K and Kaartinen, Niina and Laitinen, Jaana and Lemaitre, Rozenn and Loukola, Anu and Luan, Jian{\textquoteright}an and Lyytik{\"a}inen, Leo-Pekka and Mangino, Massimo and Manichaikul, Ani and Mbarek, Hamdi and Milaneschi, Yuri and Moayyeri, Alireza and Mukamal, Kenneth and Nelson, Christopher and Nettleton, Jennifer and Partinen, Eemil and Rawal, Rajesh and Robino, Antonietta and Rose, Lynda and Sala, Cinzia and Satoh, Takashi and Schmidt, Reinhold and Schraut, Katharina and Scott, Robert and Smith, Albert Vernon and Starr, John M and Teumer, Alexander and Trompet, Stella and Uitterlinden, Andr{\'e} G and Venturini, Cristina and Vergnaud, Anne-Claire and Verweij, Niek and Vitart, Veronique and Vuckovic, Dragana and Wedenoja, Juho and Yengo, Loic and Yu, Bing and Zhang, Weihua and Zhao, Jing Hua and Boomsma, Dorret I and Chambers, John and Chasman, Daniel I and Daniela, Toniolo and de Geus, Eco and Deary, Ian and Eriksson, Johan G and Esko, T{\~o}nu and Eulenburg, Volker and Franco, Oscar H and Froguel, Philippe and Gieger, Christian and Grabe, Hans J and Gudnason, Vilmundur and Gyllensten, Ulf and Harris, Tamara B and Hartikainen, Anna-Liisa and Heath, Andrew C and Hocking, Lynne and Hofman, Albert and Huth, Cornelia and Jarvelin, Marjo-Riitta and Jukema, J Wouter and Kaprio, Jaakko and Kooner, Jaspal S and Kutalik, Zolt{\'a}n and Lahti, Jari and Langenberg, Claudia and Lehtim{\"a}ki, Terho and Liu, Yongmei and Madden, Pamela A F and Martin, Nicholas and Morrison, Alanna and Penninx, Brenda and Pirastu, Nicola and Psaty, Bruce and Raitakari, Olli and Ridker, Paul and Rose, Richard and Rotter, Jerome I and Samani, Nilesh J and Schmidt, Helena and Spector, Tim D and Stott, David and Strachan, David and Tzoulaki, Ioanna and van der Harst, Pim and van Duijn, Cornelia M and Marques-Vidal, Pedro and Vollenweider, Peter and Wareham, Nicholas J and Whitfield, John B and Wilson, James and Wolffenbuttel, Bruce and Bakalkin, Georgy and Evangelou, Evangelos and Liu, Yun and Rice, Kenneth M and Desrivi{\`e}res, Sylvane and Kliewer, Steven A and Mangelsdorf, David J and M{\"u}ller, Christian P and Levy, Daniel and Elliott, Paul} } @article {7011, title = {Meta-analysis of 49 549 individuals imputed with the 1000 Genomes Project reveals an exonic damaging variant in ANGPTL4 determining fasting TG levels.}, journal = {J Med Genet}, volume = {53}, year = {2016}, month = {2016 Jul}, pages = {441-9}, abstract = {

BACKGROUND: So far, more than 170 loci have been associated with circulating lipid levels through genome-wide association studies (GWAS). These associations are largely driven by common variants, their function is often not known, and many are likely to be markers for the causal variants. In this study we aimed to identify more new rare and low-frequency functional variants associated with circulating lipid levels.

METHODS: We used the 1000 Genomes Project as a reference panel for the imputations of GWAS data from \~{}60 000 individuals in the discovery stage and \~{}90 000 samples in the replication stage.

RESULTS: Our study resulted in the identification of five new associations with circulating lipid levels at four loci. All four loci are within genes that can be linked biologically to lipid metabolism. One of the variants, rs116843064, is a damaging missense variant within the ANGPTL4 gene.

CONCLUSIONS: This study illustrates that GWAS with high-scale imputation may still help us unravel the biological mechanism behind circulating lipid levels.

}, issn = {1468-6244}, doi = {10.1136/jmedgenet-2015-103439}, author = {van Leeuwen, Elisabeth M and Sabo, Aniko and Bis, Joshua C and Huffman, Jennifer E and Manichaikul, Ani and Smith, Albert V and Feitosa, Mary F and Demissie, Serkalem and Joshi, Peter K and Duan, Qing and Marten, Jonathan and van Klinken, Jan B and Surakka, Ida and Nolte, Ilja M and Zhang, Weihua and Mbarek, Hamdi and Li-Gao, Ruifang and Trompet, Stella and Verweij, Niek and Evangelou, Evangelos and Lyytik{\"a}inen, Leo-Pekka and Tayo, Bamidele O and Deelen, Joris and van der Most, Peter J and van der Laan, Sander W and Arking, Dan E and Morrison, Alanna and Dehghan, Abbas and Franco, Oscar H and Hofman, Albert and Rivadeneira, Fernando and Sijbrands, Eric J and Uitterlinden, Andr{\'e} G and Mychaleckyj, Josyf C and Campbell, Archie and Hocking, Lynne J and Padmanabhan, Sandosh and Brody, Jennifer A and Rice, Kenneth M and White, Charles C and Harris, Tamara and Isaacs, Aaron and Campbell, Harry and Lange, Leslie A and Rudan, Igor and Kolcic, Ivana and Navarro, Pau and Zemunik, Tatijana and Salomaa, Veikko and Kooner, Angad S and Kooner, Jaspal S and Lehne, Benjamin and Scott, William R and Tan, Sian-Tsung and de Geus, Eco J and Milaneschi, Yuri and Penninx, Brenda W J H and Willemsen, Gonneke and de Mutsert, Ren{\'e}e and Ford, Ian and Gansevoort, Ron T and Segura-Lepe, Marcelo P and Raitakari, Olli T and Viikari, Jorma S and Nikus, Kjell and Forrester, Terrence and McKenzie, Colin A and de Craen, Anton J M and de Ruijter, Hester M and Pasterkamp, Gerard and Snieder, Harold and Oldehinkel, Albertine J and Slagboom, P Eline and Cooper, Richard S and K{\"a}h{\"o}nen, Mika and Lehtim{\"a}ki, Terho and Elliott, Paul and van der Harst, Pim and Jukema, J Wouter and Mook-Kanamori, Dennis O and Boomsma, Dorret I and Chambers, John C and Swertz, Morris and Ripatti, Samuli and Willems van Dijk, Ko and Vitart, Veronique and Polasek, Ozren and Hayward, Caroline and Wilson, James G and Wilson, James F and Gudnason, Vilmundur and Rich, Stephen S and Psaty, Bruce M and Borecki, Ingrid B and Boerwinkle, Eric and Rotter, Jerome I and Cupples, L Adrienne and van Duijn, Cornelia M} } @article {7139, title = {Platelet-Related Variants Identified by Exomechip Meta-analysis in 157,293 Individuals.}, journal = {Am J Hum Genet}, volume = {99}, year = {2016}, month = {2016 Jul 7}, pages = {40-55}, abstract = {

Platelet production, maintenance, and clearance are tightly controlled processes indicative of platelets{\textquoteright} important roles in hemostasis and thrombosis. Platelets are common targets for primary and secondary prevention of several conditions. They are monitored clinically by complete blood counts, specifically with measurements of platelet count (PLT) and mean platelet volume (MPV). Identifying genetic effects on PLT and MPV can provide mechanistic insights into platelet biology and their role in disease. Therefore, we formed the Blood Cell Consortium (BCX) to perform a large-scale meta-analysis of Exomechip association results for PLT and MPV in 157,293 and 57,617 individuals, respectively. Using the low-frequency/rare coding variant-enriched Exomechip genotyping array, we sought to identify genetic variants associated with PLT and MPV. In addition to confirming 47 known PLT and 20 known MPV associations, we identified 32 PLT and 18 MPV associations not previously observed in the literature across the allele frequency spectrum, including rare large effect (FCER1A), low-frequency (IQGAP2, MAP1A, LY75), and common (ZMIZ2, SMG6, PEAR1, ARFGAP3/PACSIN2) variants. Several variants associated with PLT/MPV (PEAR1, MRVI1, PTGES3) were also associated with platelet reactivity. In concurrent BCX analyses, there was overlap of platelet-associated variants with red (MAP1A, TMPRSS6, ZMIZ2) and white (PEAR1, ZMIZ2, LY75) blood cell traits, suggesting common regulatory pathways with shared genetic architecture among these hematopoietic lineages. Our large-scale Exomechip analyses identified previously undocumented associations with platelet traits and further indicate that several complex quantitative hematological, lipid, and cardiovascular traits share genetic factors.

}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2016.05.005}, author = {Eicher, John D and Chami, Nathalie and Kacprowski, Tim and Nomura, Akihiro and Chen, Ming-Huei and Yanek, Lisa R and Tajuddin, Salman M and Schick, Ursula M and Slater, Andrew J and Pankratz, Nathan and Polfus, Linda and Schurmann, Claudia and Giri, Ayush and Brody, Jennifer A and Lange, Leslie A and Manichaikul, Ani and Hill, W David and Pazoki, Raha and Elliot, Paul and Evangelou, Evangelos and Tzoulaki, Ioanna and Gao, He and Vergnaud, Anne-Claire and Mathias, Rasika A and Becker, Diane M and Becker, Lewis C and Burt, Amber and Crosslin, David R and Lyytik{\"a}inen, Leo-Pekka and Nikus, Kjell and Hernesniemi, Jussi and K{\"a}h{\"o}nen, Mika and Raitoharju, Emma and Mononen, Nina and Raitakari, Olli T and Lehtim{\"a}ki, Terho and Cushman, Mary and Zakai, Neil A and Nickerson, Deborah A and Raffield, Laura M and Quarells, Rakale and Willer, Cristen J and Peloso, Gina M and Abecasis, Goncalo R and Liu, Dajiang J and Deloukas, Panos and Samani, Nilesh J and Schunkert, Heribert and Erdmann, Jeanette and Fornage, Myriam and Richard, Melissa and Tardif, Jean-Claude and Rioux, John D and Dub{\'e}, Marie-Pierre and de Denus, Simon and Lu, Yingchang and Bottinger, Erwin P and Loos, Ruth J F and Smith, Albert Vernon and Harris, Tamara B and Launer, Lenore J and Gudnason, Vilmundur and Velez Edwards, Digna R and Torstenson, Eric S and Liu, Yongmei and Tracy, Russell P and Rotter, Jerome I and Rich, Stephen S and Highland, Heather M and Boerwinkle, Eric and Li, Jin and Lange, Ethan and Wilson, James G and Mihailov, Evelin and M{\"a}gi, Reedik and Hirschhorn, Joel and Metspalu, Andres and Esko, T{\~o}nu and Vacchi-Suzzi, Caterina and Nalls, Mike A and Zonderman, Alan B and Evans, Michele K and Engstr{\"o}m, Gunnar and Orho-Melander, Marju and Melander, Olle and O{\textquoteright}Donoghue, Michelle L and Waterworth, Dawn M and Wallentin, Lars and White, Harvey D and Floyd, James S and Bartz, Traci M and Rice, Kenneth M and Psaty, Bruce M and Starr, J M and Liewald, David C M and Hayward, Caroline and Deary, Ian J and Greinacher, Andreas and V{\"o}lker, Uwe and Thiele, Thomas and V{\"o}lzke, Henry and van Rooij, Frank J A and Uitterlinden, Andr{\'e} G and Franco, Oscar H and Dehghan, Abbas and Edwards, Todd L and Ganesh, Santhi K and Kathiresan, Sekar and Faraday, Nauder and Auer, Paul L and Reiner, Alex P and Lettre, Guillaume and Johnson, Andrew D} } @article {7260, title = {Rare Functional Variant in TM2D3 is Associated with Late-Onset Alzheimer{\textquoteright}s Disease.}, journal = {PLoS Genet}, volume = {12}, year = {2016}, month = {2016 Oct}, pages = {e1006327}, abstract = {

We performed an exome-wide association analysis in 1393 late-onset Alzheimer{\textquoteright}s disease (LOAD) cases and 8141 controls from the CHARGE consortium. We found that a rare variant (P155L) in TM2D3 was enriched in Icelanders (~0.5\% versus <0.05\% in other European populations). In 433 LOAD cases and 3903 controls from the Icelandic AGES sub-study, P155L was associated with increased risk and earlier onset of LOAD [odds ratio (95\% CI) = 7.5 (3.5-15.9), p = 6.6x10-9]. Mutation in the Drosophila TM2D3 homolog, almondex, causes a phenotype similar to loss of Notch/Presenilin signaling. Human TM2D3 is capable of rescuing these phenotypes, but this activity is abolished by P155L, establishing it as a functionally damaging allele. Our results establish a rare TM2D3 variant in association with LOAD susceptibility, and together with prior work suggests possible links to the β-amyloid cascade.

}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1006327}, author = {Jakobsdottir, Johanna and van der Lee, Sven J and Bis, Joshua C and Chouraki, Vincent and Li-Kroeger, David and Yamamoto, Shinya and Grove, Megan L and Naj, Adam and Vronskaya, Maria and Salazar, Jose L and DeStefano, Anita L and Brody, Jennifer A and Smith, Albert V and Amin, Najaf and Sims, Rebecca and Ibrahim-Verbaas, Carla A and Choi, Seung-Hoan and Satizabal, Claudia L and Lopez, Oscar L and Beiser, Alexa and Ikram, M Arfan and Garcia, Melissa E and Hayward, Caroline and Varga, Tibor V and Ripatti, Samuli and Franks, Paul W and Hallmans, G{\"o}ran and Rolandsson, Olov and Jansson, Jan-H{\r a}kon and Porteous, David J and Salomaa, Veikko and Eiriksdottir, Gudny and Rice, Kenneth M and Bellen, Hugo J and Levy, Daniel and Uitterlinden, Andr{\'e} G and Emilsson, Valur and Rotter, Jerome I and Aspelund, Thor and O{\textquoteright}Donnell, Christopher J and Fitzpatrick, Annette L and Launer, Lenore J and Hofman, Albert and Wang, Li-San and Williams, Julie and Schellenberg, Gerard D and Boerwinkle, Eric and Psaty, Bruce M and Seshadri, Sudha and Shulman, Joshua M and Gudnason, Vilmundur and van Duijn, Cornelia M} } @article {7141, title = {Trans-ethnic Meta-analysis and Functional Annotation Illuminates the~Genetic Architecture of Fasting Glucose and Insulin.}, journal = {Am J Hum Genet}, volume = {99}, year = {2016}, month = {2016 Jul 7}, pages = {56-75}, abstract = {

Knowledge of the genetic basis of the type 2 diabetes (T2D)-related quantitative traits fasting glucose (FG) and insulin (FI) in African ancestry (AA) individuals has been limited. In non-diabetic subjects of AA (n = 20,209) and European ancestry (EA; n = 57,292), we performed trans-ethnic (AA+EA) fine-mapping of 54 established EA FG or FI loci with detailed functional annotation, assessed their relevance in AA individuals, and sought previously undescribed loci through trans-ethnic (AA+EA) meta-analysis. We narrowed credible sets of variants driving association signals for 22/54 EA-associated loci; 18/22 credible sets overlapped with active islet-specific enhancers or transcription factor (TF) binding sites, and 21/22 contained at least one TF motif. Of the 54 EA-associated loci, 23 were shared between EA and AA. Replication with an additional 10,096 AA individuals identified two previously undescribed FI loci, chrX FAM133A (rs213676) and chr5 PELO (rs6450057). Trans-ethnic analyses with regulatory annotation illuminate the genetic architecture of glycemic traits and suggest gene regulation as a target to advance precision medicine for T2D. Our approach to utilize state-of-the-art functional annotation and implement trans-ethnic association analysis for discovery and fine-mapping offers a framework for further follow-up and characterization of GWAS signals of complex trait loci.

}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2016.05.006}, author = {Liu, Ching-Ti and Raghavan, Sridharan and Maruthur, Nisa and Kabagambe, Edmond Kato and Hong, Jaeyoung and Ng, Maggie C Y and Hivert, Marie-France and Lu, Yingchang and An, Ping and Bentley, Amy R and Drolet, Anne M and Gaulton, Kyle J and Guo, Xiuqing and Armstrong, Loren L and Irvin, Marguerite R and Li, Man and Lipovich, Leonard and Rybin, Denis V and Taylor, Kent D and Agyemang, Charles and Palmer, Nicholette D and Cade, Brian E and Chen, Wei-Min and Dauriz, Marco and Delaney, Joseph A C and Edwards, Todd L and Evans, Daniel S and Evans, Michele K and Lange, Leslie A and Leong, Aaron and Liu, Jingmin and Liu, Yongmei and Nayak, Uma and Patel, Sanjay R and Porneala, Bianca C and Rasmussen-Torvik, Laura J and Snijder, Marieke B and Stallings, Sarah C and Tanaka, Toshiko and Yanek, Lisa R and Zhao, Wei and Becker, Diane M and Bielak, Lawrence F and Biggs, Mary L and Bottinger, Erwin P and Bowden, Donald W and Chen, Guanjie and Correa, Adolfo and Couper, David J and Crawford, Dana C and Cushman, Mary and Eicher, John D and Fornage, Myriam and Franceschini, Nora and Fu, Yi-Ping and Goodarzi, Mark O and Gottesman, Omri and Hara, Kazuo and Harris, Tamara B and Jensen, Richard A and Johnson, Andrew D and Jhun, Min A and Karter, Andrew J and Keller, Margaux F and Kho, Abel N and Kizer, Jorge R and Krauss, Ronald M and Langefeld, Carl D and Li, Xiaohui and Liang, Jingling and Liu, Simin and Lowe, William L and Mosley, Thomas H and North, Kari E and Pacheco, Jennifer A and Peyser, Patricia A and Patrick, Alan L and Rice, Kenneth M and Selvin, Elizabeth and Sims, Mario and Smith, Jennifer A and Tajuddin, Salman M and Vaidya, Dhananjay and Wren, Mary P and Yao, Jie and Zhu, Xiaofeng and Ziegler, Julie T and Zmuda, Joseph M and Zonderman, Alan B and Zwinderman, Aeilko H and Adeyemo, Adebowale and Boerwinkle, Eric and Ferrucci, Luigi and Hayes, M Geoffrey and Kardia, Sharon L R and Miljkovic, Iva and Pankow, James S and Rotimi, Charles N and Sale, Mich{\`e}le M and Wagenknecht, Lynne E and Arnett, Donna K and Chen, Yii-Der Ida and Nalls, Michael A and Province, Michael A and Kao, W H Linda and Siscovick, David S and Psaty, Bruce M and Wilson, James G and Loos, Ruth J F and Dupuis, Jos{\'e}e and Rich, Stephen S and Florez, Jose C and Rotter, Jerome I and Morris, Andrew P and Meigs, James B} } @article {7263, title = {Whole-Exome Sequencing Identifies Loci Associated with Blood Cell Traits and Reveals a Role for Alternative GFI1B Splice Variants in Human Hematopoiesis.}, journal = {Am J Hum Genet}, volume = {99}, year = {2016}, month = {2016 Sep 01}, pages = {785}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2016.08.002}, author = {Polfus, Linda M and Khajuria, Rajiv K and Schick, Ursula M and Pankratz, Nathan and Pazoki, Raha and Brody, Jennifer A and Chen, Ming-Huei and Auer, Paul L and Floyd, James S and Huang, Jie and Lange, Leslie and van Rooij, Frank J A and Gibbs, Richard A and Metcalf, Ginger and Muzny, Donna and Veeraraghavan, Narayanan and Walter, Klaudia and Chen, Lu and Yanek, Lisa and Becker, Lewis C and Peloso, Gina M and Wakabayashi, Aoi and Kals, Mart and Metspalu, Andres and Esko, T{\~o}nu and Fox, Keolu and Wallace, Robert and Franceschini, Nora and Matijevic, Nena and Rice, Kenneth M and Bartz, Traci M and Lyytik{\"a}inen, Leo-Pekka and K{\"a}h{\"o}nen, Mika and Lehtim{\"a}ki, Terho and Raitakari, Olli T and Li-Gao, Ruifang and Mook-Kanamori, Dennis O and Lettre, Guillaume and van Duijn, Cornelia M and Franco, Oscar H and Rich, Stephen S and Rivadeneira, Fernando and Hofman, Albert and Uitterlinden, Andr{\'e} G and Wilson, James G and Psaty, Bruce M and Soranzo, Nicole and Dehghan, Abbas and Boerwinkle, Eric and Zhang, Xiaoling and Johnson, Andrew D and O{\textquoteright}Donnell, Christopher J and Johnsen, Jill M and Reiner, Alexander P and Ganesh, Santhi K and Sankaran, Vijay G} } @article {7553, title = {Analysis commons, a team approach to discovery in a big-data environment for genetic epidemiology.}, journal = {Nat Genet}, volume = {49}, year = {2017}, month = {2017 Oct 27}, pages = {1560-1563}, issn = {1546-1718}, doi = {10.1038/ng.3968}, author = {Brody, Jennifer A and Morrison, Alanna C and Bis, Joshua C and O{\textquoteright}Connell, Jeffrey R and Brown, Michael R and Huffman, Jennifer E and Ames, Darren C and Carroll, Andrew and Conomos, Matthew P and Gabriel, Stacey and Gibbs, Richard A and Gogarten, Stephanie M and Gupta, Namrata and Jaquish, Cashell E and Johnson, Andrew D and Lewis, Joshua P and Liu, Xiaoming and Manning, Alisa K and Papanicolaou, George J and Pitsillides, Achilleas N and Rice, Kenneth M and Salerno, William and Sitlani, Colleen M and Smith, Nicholas L and Heckbert, Susan R and Laurie, Cathy C and Mitchell, Braxton D and Vasan, Ramachandran S and Rich, Stephen S and Rotter, Jerome I and Wilson, James G and Boerwinkle, Eric and Psaty, Bruce M and Cupples, L Adrienne} } @article {7353, title = {A genome-wide interaction analysis of tricyclic/tetracyclic antidepressants and RR and QT intervals: a pharmacogenomics study from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium.}, journal = {J Med Genet}, volume = {54}, year = {2017}, month = {2017 May}, pages = {313-323}, abstract = {

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

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

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

}, issn = {1468-6244}, doi = {10.1136/jmedgenet-2016-104112}, author = {Noordam, Raymond and Sitlani, Colleen M and Avery, Christy L and Stewart, James D and Gogarten, Stephanie M and Wiggins, Kerri L and Trompet, Stella and Warren, Helen R and Sun, Fangui and Evans, Daniel S and Li, Xiaohui and Li, Jin and Smith, Albert V and Bis, Joshua C and Brody, Jennifer A and Busch, Evan L and Caulfield, Mark J and Chen, Yii-der I and Cummings, Steven R and Cupples, L Adrienne and Duan, Qing and Franco, Oscar H and M{\'e}ndez-Gir{\'a}ldez, R{\'a}ul and Harris, Tamara B and Heckbert, Susan R and van Heemst, Diana and Hofman, Albert and Floyd, James S and Kors, Jan A and Launer, Lenore J and Li, Yun and Li-Gao, Ruifang and Lange, Leslie A and Lin, Henry J and de Mutsert, Ren{\'e}e and Napier, Melanie D and Newton-Cheh, Christopher and Poulter, Neil and Reiner, Alexander P and Rice, Kenneth M and Roach, Jeffrey and Rodriguez, Carlos J and Rosendaal, Frits R and Sattar, Naveed and Sever, Peter and Seyerle, Amanda A and Slagboom, P Eline and Soliman, Elsayed Z and Sotoodehnia, Nona and Stott, David J and St{\"u}rmer, Til and Taylor, Kent D and Thornton, Timothy A and Uitterlinden, Andr{\'e} G and Wilhelmsen, Kirk C and Wilson, James G and Gudnason, Vilmundur and Jukema, J Wouter and Laurie, Cathy C and Liu, Yongmei and Mook-Kanamori, Dennis O and Munroe, Patricia B and Rotter, Jerome I and Vasan, Ramachandran S and Psaty, Bruce M and Stricker, Bruno H and Whitsel, Eric A} } @article {7364, title = {Genome-wide Trans-ethnic Meta-analysis Identifies Seven Genetic Loci Influencing Erythrocyte Traits and a Role for RBPMS in Erythropoiesis.}, journal = {Am J Hum Genet}, volume = {100}, year = {2017}, month = {2017 Jan 05}, pages = {51-63}, abstract = {

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

}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2016.11.016}, author = {van Rooij, Frank J A and Qayyum, Rehan and Smith, Albert V and Zhou, Yi and Trompet, Stella and Tanaka, Toshiko and Keller, Margaux F and Chang, Li-Ching and Schmidt, Helena and Yang, Min-Lee and Chen, Ming-Huei and Hayes, James and Johnson, Andrew D and Yanek, Lisa R and Mueller, Christian and Lange, Leslie and Floyd, James S and Ghanbari, Mohsen and Zonderman, Alan B and Jukema, J Wouter and Hofman, Albert and van Duijn, Cornelia M and Desch, Karl C and Saba, Yasaman and Ozel, Ayse B and Snively, Beverly M and Wu, Jer-Yuarn and Schmidt, Reinhold and Fornage, Myriam and Klein, Robert J and Fox, Caroline S and Matsuda, Koichi and Kamatani, Naoyuki and Wild, Philipp S and Stott, David J and Ford, Ian and Slagboom, P Eline and Yang, Jaden and Chu, Audrey Y and Lambert, Amy J and Uitterlinden, Andr{\'e} G and Franco, Oscar H and Hofer, Edith and Ginsburg, David and Hu, Bella and Keating, Brendan and Schick, Ursula M and Brody, Jennifer A and Li, Jun Z and Chen, Zhao and Zeller, Tanja and Guralnik, Jack M and Chasman, Daniel I and Peters, Luanne L and Kubo, Michiaki and Becker, Diane M and Li, Jin and Eiriksdottir, Gudny and Rotter, Jerome I and Levy, Daniel and Grossmann, Vera and Patel, Kushang V and Chen, Chien-Hsiun and Ridker, Paul M and Tang, Hua and Launer, Lenore J and Rice, Kenneth M and Li-Gao, Ruifang and Ferrucci, Luigi and Evans, Michelle K and Choudhuri, Avik and Trompouki, Eirini and Abraham, Brian J and Yang, Song and Takahashi, Atsushi and Kamatani, Yoichiro and Kooperberg, Charles and Harris, Tamara B and Jee, Sun Ha and Coresh, Josef and Tsai, Fuu-Jen and Longo, Dan L and Chen, Yuan-Tsong and Felix, Janine F and Yang, Qiong and Psaty, Bruce M and Boerwinkle, Eric and Becker, Lewis C and Mook-Kanamori, Dennis O and Wilson, James G and Gudnason, Vilmundur and O{\textquoteright}Donnell, Christopher J and Dehghan, Abbas and Cupples, L Adrienne and Nalls, Michael A and Morris, Andrew P and Okada, Yukinori and Reiner, Alexander P and Zon, Leonard I and Ganesh, Santhi K} } @article {7373, title = {Large-scale genome-wide analysis identifies genetic variants associated with cardiac structure and function.}, journal = {J Clin Invest}, volume = {127}, year = {2017}, month = {2017 May 01}, pages = {1798-1812}, abstract = {

BACKGROUND: Understanding the genetic architecture of cardiac structure and function may help to prevent and treat heart disease. This investigation sought to identify common genetic variations associated with inter-individual variability in cardiac structure and function.

METHODS: A GWAS meta-analysis of echocardiographic traits was performed, including 46,533 individuals from 30 studies (EchoGen consortium). The analysis included 16 traits of left ventricular (LV) structure, and systolic and diastolic function.

RESULTS: The discovery analysis included 21 cohorts for structural and systolic function traits (n = 32,212) and 17 cohorts for diastolic function traits (n = 21,852). Replication was performed in 5 cohorts (n = 14,321) and 6 cohorts (n = 16,308), respectively. Besides 5 previously reported loci, the combined meta-analysis identified 10 additional genome-wide significant SNPs: rs12541595 near MTSS1 and rs10774625 in ATXN2 for LV end-diastolic internal dimension; rs806322 near KCNRG, rs4765663 in CACNA1C, rs6702619 near PALMD, rs7127129 in TMEM16A, rs11207426 near FGGY, rs17608766 in GOSR2, and rs17696696 in CFDP1 for aortic root diameter; and rs12440869 in IQCH for Doppler transmitral A-wave peak velocity. Findings were in part validated in other cohorts and in GWAS of related disease traits. The genetic loci showed associations with putative signaling pathways, and with gene expression in whole blood, monocytes, and myocardial tissue.

CONCLUSION: The additional genetic loci identified in this large meta-analysis of cardiac structure and function provide insights into the underlying genetic architecture of cardiac structure and warrant follow-up in future functional studies.

FUNDING: For detailed information per study, see Acknowledgments.

}, issn = {1558-8238}, doi = {10.1172/JCI84840}, author = {Wild, Philipp S and Felix, Janine F and Schillert, Arne and Teumer, Alexander and Chen, Ming-Huei and Leening, Maarten J G and V{\"o}lker, Uwe and Gro{\ss}mann, Vera and Brody, Jennifer A and Irvin, Marguerite R and Shah, Sanjiv J and Pramana, Setia and Lieb, Wolfgang and Schmidt, Reinhold and Stanton, Alice V and Malzahn, D{\"o}rthe and Smith, Albert Vernon and Sundstr{\"o}m, Johan and Minelli, Cosetta and Ruggiero, Daniela and Lyytik{\"a}inen, Leo-Pekka and Tiller, Daniel and Smith, J Gustav and Monnereau, Claire and Di Tullio, Marco R and Musani, Solomon K and Morrison, Alanna C and Pers, Tune H and Morley, Michael and Kleber, Marcus E and Aragam, Jayashri and Benjamin, Emelia J and Bis, Joshua C and Bisping, Egbert and Broeckel, Ulrich and Cheng, Susan and Deckers, Jaap W and del Greco M, Fabiola and Edelmann, Frank and Fornage, Myriam and Franke, Lude and Friedrich, Nele and Harris, Tamara B and Hofer, Edith and Hofman, Albert and Huang, Jie and Hughes, Alun D and K{\"a}h{\"o}nen, Mika and Investigators, Knhi and Kruppa, Jochen and Lackner, Karl J and Lannfelt, Lars and Laskowski, Rafael and Launer, Lenore J and Leosdottir, Margr{\'e}t and Lin, Honghuang and Lindgren, Cecilia M and Loley, Christina and MacRae, Calum A and Mascalzoni, Deborah and Mayet, Jamil and Medenwald, Daniel and Morris, Andrew P and M{\"u}ller, Christian and M{\"u}ller-Nurasyid, Martina and Nappo, Stefania and Nilsson, Peter M and Nuding, Sebastian and Nutile, Teresa and Peters, Annette and Pfeufer, Arne and Pietzner, Diana and Pramstaller, Peter P and Raitakari, Olli T and Rice, Kenneth M and Rivadeneira, Fernando and Rotter, Jerome I and Ruohonen, Saku T and Sacco, Ralph L and Samdarshi, Tandaw E and Schmidt, Helena and Sharp, Andrew S P and Shields, Denis C and Sorice, Rossella and Sotoodehnia, Nona and Stricker, Bruno H and Surendran, Praveen and Thom, Simon and T{\"o}glhofer, Anna M and Uitterlinden, Andr{\'e} G and Wachter, Rolf and V{\"o}lzke, Henry and Ziegler, Andreas and M{\"u}nzel, Thomas and M{\"a}rz, Winfried and Cappola, Thomas P and Hirschhorn, Joel N and Mitchell, Gary F and Smith, Nicholas L and Fox, Ervin R and Dueker, Nicole D and Jaddoe, Vincent W V and Melander, Olle and Russ, Martin and Lehtim{\"a}ki, Terho and Ciullo, Marina and Hicks, Andrew A and Lind, Lars and Gudnason, Vilmundur and Pieske, Burkert and Barron, Anthony J and Zweiker, Robert and Schunkert, Heribert and Ingelsson, Erik and Liu, Kiang and Arnett, Donna K and Psaty, Bruce M and Blankenberg, Stefan and Larson, Martin G and Felix, Stephan B and Franco, Oscar H and Zeller, Tanja and Vasan, Ramachandran S and D{\"o}rr, Marcus} } @article {7801, title = {Common and Rare Coding Genetic Variation Underlying the Electrocardiographic PR Interval.}, journal = {Circ Genom Precis Med}, volume = {11}, year = {2018}, month = {2018 May}, pages = {e002037}, abstract = {

BACKGROUND: Electrical conduction from the cardiac sinoatrial node to the ventricles is critical for normal heart function. Genome-wide association studies have identified more than a dozen common genetic loci that are associated with PR interval. However, it is unclear whether rare and low-frequency variants also contribute to PR interval heritability.

METHODS: We performed large-scale meta-analyses of the PR interval that included 83 367 participants of European ancestry and 9436 of African ancestry. We examined both common and rare variants associated with the PR interval.

RESULTS: We identified 31 genetic loci that were significantly associated with PR interval after Bonferroni correction (<1.2{\texttimes}10), including 11 novel loci that have not been reported previously. Many of these loci are involved in heart morphogenesis. In gene-based analysis, we found that multiple rare variants at (=5.9{\texttimes}10) and (=1.1{\texttimes}10) were associated with PR interval. locus also was implicated in the common variant analysis, whereas was a novel locus.

CONCLUSIONS: We identified common variants at 11 novel loci and rare variants within 2 gene regions that were significantly associated with PR interval. Our findings provide novel insights to the current understanding of atrioventricular conduction, which is critical for cardiac activity and an important determinant of health.

}, issn = {2574-8300}, doi = {10.1161/CIRCGEN.117.002037}, author = {Lin, Honghuang and van Setten, Jessica and Smith, Albert V and Bihlmeyer, Nathan A and Warren, Helen R and Brody, Jennifer A and Radmanesh, Farid and Hall, Leanne and Grarup, Niels and M{\"u}ller-Nurasyid, Martina and Boutin, Thibaud and Verweij, Niek and Lin, Henry J and Li-Gao, Ruifang and van den Berg, Marten E and Marten, Jonathan and Weiss, Stefan and Prins, Bram P and Haessler, Jeffrey and Lyytik{\"a}inen, Leo-Pekka and Mei, Hao and Harris, Tamara B and Launer, Lenore J and Li, Man and Alonso, Alvaro and Soliman, Elsayed Z and Connell, John M and Huang, Paul L and Weng, Lu-Chen and Jameson, Heather S and Hucker, William and Hanley, Alan and Tucker, Nathan R and Chen, Yii-Der Ida and Bis, Joshua C and Rice, Kenneth M and Sitlani, Colleen M and Kors, Jan A and Xie, Zhijun and Wen, Chengping and Magnani, Jared W and Nelson, Christopher P and Kanters, J{\o}rgen K and Sinner, Moritz F and Strauch, Konstantin and Peters, Annette and Waldenberger, Melanie and Meitinger, Thomas and Bork-Jensen, Jette and Pedersen, Oluf and Linneberg, Allan and Rudan, Igor and de Boer, Rudolf A and van der Meer, Peter and Yao, Jie and Guo, Xiuqing and Taylor, Kent D and Sotoodehnia, Nona and Rotter, Jerome I and Mook-Kanamori, Dennis O and Trompet, Stella and Rivadeneira, Fernando and Uitterlinden, Andre and Eijgelsheim, Mark and Padmanabhan, Sandosh and Smith, Blair H and V{\"o}lzke, Henry and Felix, Stephan B and Homuth, Georg and V{\"o}lker, Uwe and Mangino, Massimo and Spector, Timothy D and Bots, Michiel L and Perez, Marco and K{\"a}h{\"o}nen, Mika and Raitakari, Olli T and Gudnason, Vilmundur and Arking, Dan E and Munroe, Patricia B and Psaty, Bruce M and van Duijn, Cornelia M and Benjamin, Emelia J and Rosand, Jonathan and Samani, Nilesh J and Hansen, Torben and K{\"a}{\"a}b, Stefan and Polasek, Ozren and van der Harst, Pim and Heckbert, Susan R and Jukema, J Wouter and Stricker, Bruno H and Hayward, Caroline and D{\"o}rr, Marcus and Jamshidi, Yalda and Asselbergs, Folkert W and Kooperberg, Charles and Lehtim{\"a}ki, Terho and Wilson, James G and Ellinor, Patrick T and Lubitz, Steven A and Isaacs, Aaron} } @article {7796, title = {Exome Chip Analysis Identifies Low-Frequency and Rare Variants in for White Matter Hyperintensities on Brain Magnetic Resonance Imaging.}, journal = {Stroke}, year = {2018}, month = {2018 Jul 12}, abstract = {

BACKGROUND AND PURPOSE: White matter hyperintensities (WMH) on brain magnetic resonance imaging are typical signs of cerebral small vessel disease and may indicate various preclinical, age-related neurological disorders, such as stroke. Though WMH are highly heritable, known common variants explain a small proportion of the WMH variance. The contribution of low-frequency/rare coding variants to WMH burden has not been explored.

METHODS: In the discovery sample we recruited 20 719 stroke/dementia-free adults from 13 population-based cohort studies within the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium, among which 17 790 were of European ancestry and 2929 of African ancestry. We genotyped these participants at ≈250 000 mostly exonic variants with Illumina HumanExome BeadChip arrays. We performed ethnicity-specific linear regression on rank-normalized WMH in each study separately, which were then combined in meta-analyses to test for association with single variants and genes aggregating the effects of putatively functional low-frequency/rare variants. We then sought replication of the top findings in 1192 adults (European ancestry) with whole exome/genome sequencing data from 2 independent studies.

RESULTS: At 17q25, we confirmed the association of multiple common variants in , , and (<6{\texttimes}10). We also identified a novel association with 2 low-frequency nonsynonymous variants in (lead, rs34136221; =4.5{\texttimes}10) partially independent of known common signal (=1.4{\texttimes}10). We further identified a locus at 2q33 containing common variants in , , and (lead, rs2351524; =1.9{\texttimes}10). Although our novel findings were not replicated because of limited power and possible differences in study design, meta-analysis of the discovery and replication samples yielded stronger association for the 2 low-frequency variants (=2.8{\texttimes}10).

CONCLUSIONS: Both common and low-frequency/rare functional variants influence WMH. Larger replication and experimental follow-up are essential to confirm our findings and uncover the biological causal mechanisms of age-related WMH.

}, issn = {1524-4628}, doi = {10.1161/STROKEAHA.118.020689}, author = {Jian, Xueqiu and Satizabal, Claudia L and Smith, Albert V and Wittfeld, Katharina and Bis, Joshua C and Smith, Jennifer A and Hsu, Fang-Chi and Nho, Kwangsik and Hofer, Edith and Hagenaars, Saskia P and Nyquist, Paul A and Mishra, Aniket and Adams, Hieab H H and Li, Shuo and Teumer, Alexander and Zhao, Wei and Freedman, Barry I and Saba, Yasaman and Yanek, Lisa R and Chauhan, Ganesh and van Buchem, Mark A and Cushman, Mary and Royle, Natalie A and Bryan, R Nick and Niessen, Wiro J and Windham, Beverly G and DeStefano, Anita L and Habes, Mohamad and Heckbert, Susan R and Palmer, Nicholette D and Lewis, Cora E and Eiriksdottir, Gudny and Maillard, Pauline and Mathias, Rasika A and Homuth, Georg and Vald{\'e}s-Hern{\'a}ndez, Maria Del C and Divers, Jasmin and Beiser, Alexa S and Langner, S{\"o}nke and Rice, Kenneth M and Bastin, Mark E and Yang, Qiong and Maldjian, Joseph A and Starr, John M and Sidney, Stephen and Risacher, Shannon L and Uitterlinden, Andr{\'e} G and Gudnason, Vilmundur G and Nauck, Matthias and Rotter, Jerome I and Schreiner, Pamela J and Boerwinkle, Eric and van Duijn, Cornelia M and Mazoyer, Bernard and von Sarnowski, Bettina and Gottesman, Rebecca F and Levy, Daniel and Sigurdsson, Sigurdur and Vernooij, Meike W and Turner, Stephen T and Schmidt, Reinhold and Wardlaw, Joanna M and Psaty, Bruce M and Mosley, Thomas H and DeCarli, Charles S and Saykin, Andrew J and Bowden, Donald W and Becker, Diane M and Deary, Ian J and Schmidt, Helena and Kardia, Sharon L R and Ikram, M Arfan and Debette, Stephanie and Grabe, Hans J and Longstreth, W T and Seshadri, Sudha and Launer, Lenore J and Fornage, Myriam} } @article {7809, title = {Exome-chip meta-analysis identifies novel loci associated with cardiac conduction, including ADAMTS6.}, journal = {Genome Biol}, volume = {19}, year = {2018}, month = {2018 07 17}, pages = {87}, abstract = {

BACKGROUND: Genome-wide association studies conducted on QRS duration, an electrocardiographic measurement associated with heart failure and sudden cardiac death, have led to novel biological insights into cardiac function. However, the variants identified fall predominantly in non-coding regions and their underlying mechanisms remain unclear.

RESULTS: Here, we identify putative functional coding variation associated with changes in the QRS interval duration by combining Illumina HumanExome BeadChip genotype data from 77,898 participants of European ancestry and 7695 of African descent in our discovery cohort, followed by replication in 111,874~individuals of European ancestry from the UK Biobank and deCODE cohorts. We identify ten novel loci, seven within coding regions, including ADAMTS6, significantly associated with QRS duration in gene-based analyses. ADAMTS6 encodes a secreted metalloprotease of currently unknown function. In vitro validation analysis shows that the QRS-associated variants lead to impaired ADAMTS6 secretion and loss-of function analysis in mice demonstrates a previously unappreciated role for ADAMTS6 in connexin 43 gap junction expression, which is essential for myocardial conduction.

CONCLUSIONS: Our approach identifies novel coding and non-coding variants underlying ventricular depolarization and provides a possible mechanism for the ADAMTS6-associated conduction changes.

}, issn = {1474-760X}, doi = {10.1186/s13059-018-1457-6}, author = {Prins, Bram P and Mead, Timothy J and Brody, Jennifer A and Sveinbjornsson, Gardar and Ntalla, Ioanna and Bihlmeyer, Nathan A and van den Berg, Marten and Bork-Jensen, Jette and Cappellani, Stefania and Van Duijvenboden, Stefan and Klena, Nikolai T and Gabriel, George C and Liu, Xiaoqin and Gulec, Cagri and Grarup, Niels and Haessler, Jeffrey and Hall, Leanne M and Iorio, Annamaria and Isaacs, Aaron and Li-Gao, Ruifang and Lin, Honghuang and Liu, Ching-Ti and Lyytik{\"a}inen, Leo-Pekka and Marten, Jonathan and Mei, Hao and M{\"u}ller-Nurasyid, Martina and Orini, Michele and Padmanabhan, Sandosh and Radmanesh, Farid and Ramirez, Julia and Robino, Antonietta and Schwartz, Molly and van Setten, Jessica and Smith, Albert V and Verweij, Niek and Warren, Helen R and Weiss, Stefan and Alonso, Alvaro and Arnar, David O and Bots, Michiel L and de Boer, Rudolf A and Dominiczak, Anna F and Eijgelsheim, Mark and Ellinor, Patrick T and Guo, Xiuqing and Felix, Stephan B and Harris, Tamara B and Hayward, Caroline and Heckbert, Susan R and Huang, Paul L and Jukema, J W and K{\"a}h{\"o}nen, Mika and Kors, Jan A and Lambiase, Pier D and Launer, Lenore J and Li, Man and Linneberg, Allan and Nelson, Christopher P and Pedersen, Oluf and Perez, Marco and Peters, Annette and Polasek, Ozren and Psaty, Bruce M and Raitakari, Olli T and Rice, Kenneth M and Rotter, Jerome I and Sinner, Moritz F and Soliman, Elsayed Z and Spector, Tim D and Strauch, Konstantin and Thorsteinsdottir, Unnur and Tinker, Andrew and Trompet, Stella and Uitterlinden, Andre and Vaartjes, Ilonca and van der Meer, Peter and V{\"o}lker, Uwe and V{\"o}lzke, Henry and Waldenberger, Melanie and Wilson, James G and Xie, Zhijun and Asselbergs, Folkert W and D{\"o}rr, Marcus and van Duijn, Cornelia M and Gasparini, Paolo and Gudbjartsson, Daniel F and Gudnason, Vilmundur and Hansen, Torben and K{\"a}{\"a}b, Stefan and Kanters, J{\o}rgen K and Kooperberg, Charles and Lehtim{\"a}ki, Terho and Lin, Henry J and Lubitz, Steven A and Mook-Kanamori, Dennis O and Conti, Francesco J and Newton-Cheh, Christopher H and Rosand, Jonathan and Rudan, Igor and Samani, Nilesh J and Sinagra, Gianfranco and Smith, Blair H and Holm, Hilma and Stricker, Bruno H and Ulivi, Sheila and Sotoodehnia, Nona and Apte, Suneel S and van der Harst, Pim and Stefansson, Kari and Munroe, Patricia B and Arking, Dan E and Lo, Cecilia W and Jamshidi, Yalda} } @article {8109, title = {A catalog of genetic loci associated with kidney function from analyses of a million individuals.}, journal = {Nat Genet}, volume = {51}, year = {2019}, month = {2019 06}, pages = {957-972}, abstract = {

Chronic kidney disease (CKD) is responsible for a public health burden with multi-systemic complications. Through trans-ancestry meta-analysis of genome-wide association studies of estimated glomerular filtration rate (eGFR) and independent replication (n = 1,046,070), we identified 264 associated loci (166 new). Of these, 147 were likely to be relevant for kidney function on the basis of associations with the alternative kidney function marker blood urea nitrogen (n = 416,178). Pathway and enrichment analyses, including mouse models with renal phenotypes, support the kidney as the main target organ. A genetic risk score for lower eGFR was associated with clinically diagnosed CKD in 452,264 independent individuals. Colocalization analyses of associations with eGFR among 783,978 European-ancestry individuals and gene expression across 46 human tissues, including tubulo-interstitial and glomerular kidney compartments, identified 17 genes differentially expressed in kidney. Fine-mapping highlighted missense driver variants in 11 genes and kidney-specific regulatory variants. These results provide a comprehensive priority list of molecular targets for translational research.

}, keywords = {Chromosome Mapping, European Continental Ancestry Group, Genetic Association Studies, Genetic Predisposition to Disease, Genome-Wide Association Study, Glomerular Filtration Rate, Humans, Inheritance Patterns, Kidney Function Tests, Phenotype, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Quantitative Trait, Heritable, Renal Insufficiency, Chronic, Uromodulin}, issn = {1546-1718}, doi = {10.1038/s41588-019-0407-x}, author = {Wuttke, Matthias and Li, Yong and Li, Man and Sieber, Karsten B and Feitosa, Mary F and Gorski, Mathias and Tin, Adrienne and Wang, Lihua and Chu, Audrey Y and Hoppmann, Anselm and Kirsten, Holger and Giri, Ayush and Chai, Jin-Fang and Sveinbjornsson, Gardar and Tayo, Bamidele O and Nutile, Teresa and Fuchsberger, Christian and Marten, Jonathan and Cocca, Massimiliano and Ghasemi, Sahar and Xu, Yizhe and Horn, Katrin and Noce, Damia and van der Most, Peter J and Sedaghat, Sanaz and Yu, Zhi and Akiyama, Masato and Afaq, Saima and Ahluwalia, Tarunveer S and Almgren, Peter and Amin, Najaf and Arnl{\"o}v, Johan and Bakker, Stephan J L and Bansal, Nisha and Baptista, Daniela and Bergmann, Sven and Biggs, Mary L and Biino, Ginevra and Boehnke, Michael and Boerwinkle, Eric and Boissel, Mathilde and Bottinger, Erwin P and Boutin, Thibaud S and Brenner, Hermann and Brumat, Marco and Burkhardt, Ralph and Butterworth, Adam S and Campana, Eric and Campbell, Archie and Campbell, Harry and Canouil, Micka{\"e}l and Carroll, Robert J and Catamo, Eulalia and Chambers, John C and Chee, Miao-Ling and Chee, Miao-Li and Chen, Xu and Cheng, Ching-Yu and Cheng, Yurong and Christensen, Kaare and Cifkova, Renata and Ciullo, Marina and Concas, Maria Pina and Cook, James P and Coresh, Josef and Corre, Tanguy and Sala, Cinzia Felicita and Cusi, Daniele and Danesh, John and Daw, E Warwick and de Borst, Martin H and De Grandi, Alessandro and de Mutsert, Ren{\'e}e and de Vries, Aiko P J and Degenhardt, Frauke and Delgado, Graciela and Demirkan, Ayse and Di Angelantonio, Emanuele and Dittrich, Katalin and Divers, Jasmin and Dorajoo, Rajkumar and Eckardt, Kai-Uwe and Ehret, Georg and Elliott, Paul and Endlich, Karlhans and Evans, Michele K and Felix, Janine F and Foo, Valencia Hui Xian and Franco, Oscar H and Franke, Andre and Freedman, Barry I and Freitag-Wolf, Sandra and Friedlander, Yechiel and Froguel, Philippe and Gansevoort, Ron T and Gao, He and Gasparini, Paolo and Gaziano, J Michael and Giedraitis, Vilmantas and Gieger, Christian and Girotto, Giorgia and Giulianini, Franco and G{\"o}gele, Martin and Gordon, Scott D and Gudbjartsson, Daniel F and Gudnason, Vilmundur and Haller, Toomas and Hamet, Pavel and Harris, Tamara B and Hartman, Catharina A and Hayward, Caroline and Hellwege, Jacklyn N and Heng, Chew-Kiat and Hicks, Andrew A and Hofer, Edith and Huang, Wei and Hutri-K{\"a}h{\"o}nen, Nina and Hwang, Shih-Jen and Ikram, M Arfan and Indridason, Olafur S and Ingelsson, Erik and Ising, Marcus and Jaddoe, Vincent W V and Jakobsdottir, Johanna and Jonas, Jost B and Joshi, Peter K and Josyula, Navya Shilpa and Jung, Bettina and K{\"a}h{\"o}nen, Mika and Kamatani, Yoichiro and Kammerer, Candace M and Kanai, Masahiro and Kastarinen, Mika and Kerr, Shona M and Khor, Chiea-Chuen and Kiess, Wieland and Kleber, Marcus E and Koenig, Wolfgang and Kooner, Jaspal S and K{\"o}rner, Antje and Kovacs, Peter and Kraja, Aldi T and Krajcoviechova, Alena and Kramer, Holly and Kr{\"a}mer, Bernhard K and Kronenberg, Florian and Kubo, Michiaki and Kuhnel, Brigitte and Kuokkanen, Mikko and Kuusisto, Johanna and La Bianca, Martina and Laakso, Markku and Lange, Leslie A and Langefeld, Carl D and Lee, Jeannette Jen-Mai and Lehne, Benjamin and Lehtim{\"a}ki, Terho and Lieb, Wolfgang and Lim, Su-Chi and Lind, Lars and Lindgren, Cecilia M and Liu, Jun and Liu, Jianjun and Loeffler, Markus and Loos, Ruth J F and Lucae, Susanne and Lukas, Mary Ann and Lyytik{\"a}inen, Leo-Pekka and M{\"a}gi, Reedik and Magnusson, Patrik K E and Mahajan, Anubha and Martin, Nicholas G and Martins, Jade and M{\"a}rz, Winfried and Mascalzoni, Deborah and Matsuda, Koichi and Meisinger, Christa and Meitinger, Thomas and Melander, Olle and Metspalu, Andres and Mikaelsdottir, Evgenia K and Milaneschi, Yuri and Miliku, Kozeta and Mishra, Pashupati P and Mohlke, Karen L and Mononen, Nina and Montgomery, Grant W and Mook-Kanamori, Dennis O and Mychaleckyj, Josyf C and Nadkarni, Girish N and Nalls, Mike A and Nauck, Matthias and Nikus, Kjell and Ning, Boting and Nolte, Ilja M and Noordam, Raymond and O{\textquoteright}Connell, Jeffrey and O{\textquoteright}Donoghue, Michelle L and Olafsson, Isleifur and Oldehinkel, Albertine J and Orho-Melander, Marju and Ouwehand, Willem H and Padmanabhan, Sandosh and Palmer, Nicholette D and Palsson, Runolfur and Penninx, Brenda W J H and Perls, Thomas and Perola, Markus and Pirastu, Mario and Pirastu, Nicola and Pistis, Giorgio and Podgornaia, Anna I and Polasek, Ozren and Ponte, Belen and Porteous, David J and Poulain, Tanja and Pramstaller, Peter P and Preuss, Michael H and Prins, Bram P and Province, Michael A and Rabelink, Ton J and Raffield, Laura M and Raitakari, Olli T and Reilly, Dermot F and Rettig, Rainer and Rheinberger, Myriam and Rice, Kenneth M and Ridker, Paul M and Rivadeneira, Fernando and Rizzi, Federica and Roberts, David J and Robino, Antonietta and Rossing, Peter and Rudan, Igor and Rueedi, Rico and Ruggiero, Daniela and Ryan, Kathleen A and Saba, Yasaman and Sabanayagam, Charumathi and Salomaa, Veikko and Salvi, Erika and Saum, Kai-Uwe and Schmidt, Helena and Schmidt, Reinhold and Sch{\"o}ttker, Ben and Schulz, Christina-Alexandra and Schupf, Nicole and Shaffer, Christian M and Shi, Yuan and Smith, Albert V and Smith, Blair H and Soranzo, Nicole and Spracklen, Cassandra N and Strauch, Konstantin and Stringham, Heather M and Stumvoll, Michael and Svensson, Per O and Szymczak, Silke and Tai, E-Shyong and Tajuddin, Salman M and Tan, Nicholas Y Q and Taylor, Kent D and Teren, Andrej and Tham, Yih-Chung and Thiery, Joachim and Thio, Chris H L and Thomsen, Hauke and Thorleifsson, Gudmar and Toniolo, Daniela and T{\"o}njes, Anke and Tremblay, Johanne and Tzoulaki, Ioanna and Uitterlinden, Andr{\'e} G and Vaccargiu, Simona and van Dam, Rob M and van der Harst, Pim and van Duijn, Cornelia M and Velez Edward, Digna R and Verweij, Niek and Vogelezang, Suzanne and V{\"o}lker, Uwe and Vollenweider, Peter and Waeber, G{\'e}rard and Waldenberger, Melanie and Wallentin, Lars and Wang, Ya Xing and Wang, Chaolong and Waterworth, Dawn M and Bin Wei, Wen and White, Harvey and Whitfield, John B and Wild, Sarah H and Wilson, James F and Wojczynski, Mary K and Wong, Charlene and Wong, Tien-Yin and Xu, Liang and Yang, Qiong and Yasuda, Masayuki and Yerges-Armstrong, Laura M and Zhang, Weihua and Zonderman, Alan B and Rotter, Jerome I and Bochud, Murielle and Psaty, Bruce M and Vitart, Veronique and Wilson, James G and Dehghan, Abbas and Parsa, Afshin and Chasman, Daniel I and Ho, Kevin and Morris, Andrew P and Devuyst, Olivier and Akilesh, Shreeram and Pendergrass, Sarah A and Sim, Xueling and B{\"o}ger, Carsten A and Okada, Yukinori and Edwards, Todd L and Snieder, Harold and Stefansson, Kari and Hung, Adriana M and Heid, Iris M and Scholz, Markus and Teumer, Alexander and K{\"o}ttgen, Anna and Pattaro, Cristian} } @article {8102, title = {Pharmacogenomics of statin-related myopathy: Meta-analysis of rare variants from whole-exome sequencing.}, journal = {PLoS One}, volume = {14}, year = {2019}, month = {2019}, pages = {e0218115}, abstract = {

AIMS: Statin-related myopathy (SRM), which includes rhabdomyolysis, is an uncommon but important adverse drug reaction because the number of people prescribed statins world-wide is large. Previous association studies of common genetic variants have had limited success in identifying a genetic basis for this adverse drug reaction. We conducted a multi-site whole-exome sequencing study to investigate whether rare coding variants confer an increased risk of SRM.

METHODS AND RESULTS: SRM 3-5 cases (N = 505) and statin treatment-tolerant controls (N = 2047) were recruited from multiple sites in North America and Europe. SRM 3-5 was defined as symptoms consistent with muscle injury and an elevated creatine phosphokinase level >4 times upper limit of normal without another likely cause of muscle injury. Whole-exome sequencing and variant calling was coordinated from two analysis centres, and results of single-variant and gene-based burden tests were meta-analysed. No genome-wide significant associations were identified. Given the large number of cases, we had 80\% power to identify a variant with minor allele frequency of 0.01 that increases the risk of SRM 6-fold at genome-wide significance.

CONCLUSIONS: In this large whole-exome sequencing study of severe statin-related muscle injury conducted to date, we did not find evidence that rare coding variants are responsible for this adverse drug reaction. Larger sample sizes would be required to identify rare variants with small effects, but it is unclear whether such findings would be clinically actionable.

}, issn = {1932-6203}, doi = {10.1371/journal.pone.0218115}, author = {Floyd, James S and Bloch, Katarzyna M and Brody, Jennifer A and Maroteau, Cyrielle and Siddiqui, Moneeza K and Gregory, Richard and Carr, Daniel F and Molokhia, Mariam and Liu, Xiaoming and Bis, Joshua C and Ahmed, Ammar and Liu, Xuan and Hallberg, P{\"a}r and Yue, Qun-Ying and Magnusson, Patrik K E and Brisson, Diane and Wiggins, Kerri L and Morrison, Alanna C and Khoury, Etienne and McKeigue, Paul and Stricker, Bruno H and Lapeyre-Mestre, Maryse and Heckbert, Susan R and Gallagher, Arlene M and Chinoy, Hector and Gibbs, Richard A and Bondon-Guitton, Emmanuelle and Tracy, Russell and Boerwinkle, Eric and Gaudet, Daniel and Conforti, Anita and van Staa, Tjeerd and Sitlani, Colleen M and Rice, Kenneth M and Maitland-van der Zee, Anke-Hilse and Wadelius, Mia and Morris, Andrew P and Pirmohamed, Munir and Palmer, Colin A N and Psaty, Bruce M and Alfirevic, Ana} } @article {8207, title = {Target genes, variants, tissues and transcriptional pathways influencing human serum urate levels.}, journal = {Nat Genet}, volume = {51}, year = {2019}, month = {2019 Oct}, pages = {1459-1474}, abstract = {

Elevated serum urate levels cause gout and correlate with cardiometabolic diseases via poorly understood mechanisms. We performed a trans-ancestry genome-wide association study of serum urate in 457,690 individuals, identifying 183 loci (147 previously unknown) that improve the prediction of gout in an independent cohort of 334,880 individuals. Serum urate showed significant genetic correlations with many cardiometabolic traits, with genetic causality analyses supporting a substantial role for pleiotropy. Enrichment analysis, fine-mapping of urate-associated loci and colocalization with gene expression in 47 tissues implicated the kidney and liver as the main target organs and prioritized potentially causal genes and variants, including the transcriptional master regulators in the liver and kidney, HNF1A and HNF4A. Experimental validation showed that HNF4A transactivated the promoter of ABCG2, encoding a major urate transporter, in kidney cells, and that HNF4A p.Thr139Ile is a functional variant. Transcriptional coregulation within and across organs may be a general mechanism underlying the observed pleiotropy between urate and cardiometabolic traits.

}, issn = {1546-1718}, doi = {10.1038/s41588-019-0504-x}, author = {Tin, Adrienne and Marten, Jonathan and Halperin Kuhns, Victoria L and Li, Yong and Wuttke, Matthias and Kirsten, Holger and Sieber, Karsten B and Qiu, Chengxiang and Gorski, Mathias and Yu, Zhi and Giri, Ayush and Sveinbjornsson, Gardar and Li, Man and Chu, Audrey Y and Hoppmann, Anselm and O{\textquoteright}Connor, Luke J and Prins, Bram and Nutile, Teresa and Noce, Damia and Akiyama, Masato and Cocca, Massimiliano and Ghasemi, Sahar and van der Most, Peter J and Horn, Katrin and Xu, Yizhe and Fuchsberger, Christian and Sedaghat, Sanaz and Afaq, Saima and Amin, Najaf and Arnl{\"o}v, Johan and Bakker, Stephan J L and Bansal, Nisha and Baptista, Daniela and Bergmann, Sven and Biggs, Mary L and Biino, Ginevra and Boerwinkle, Eric and Bottinger, Erwin P and Boutin, Thibaud S and Brumat, Marco and Burkhardt, Ralph and Campana, Eric and Campbell, Archie and Campbell, Harry and Carroll, Robert J and Catamo, Eulalia and Chambers, John C and Ciullo, Marina and Concas, Maria Pina and Coresh, Josef and Corre, Tanguy and Cusi, Daniele and Felicita, Sala Cinzia and de Borst, Martin H and De Grandi, Alessandro and de Mutsert, Ren{\'e}e and de Vries, Aiko P J and Delgado, Graciela and Demirkan, Ayse and Devuyst, Olivier and Dittrich, Katalin and Eckardt, Kai-Uwe and Ehret, Georg and Endlich, Karlhans and Evans, Michele K and Gansevoort, Ron T and Gasparini, Paolo and Giedraitis, Vilmantas and Gieger, Christian and Girotto, Giorgia and G{\"o}gele, Martin and Gordon, Scott D and Gudbjartsson, Daniel F and Gudnason, Vilmundur and Haller, Toomas and Hamet, Pavel and Harris, Tamara B and Hayward, Caroline and Hicks, Andrew A and Hofer, Edith and Holm, Hilma and Huang, Wei and Hutri-K{\"a}h{\"o}nen, Nina and Hwang, Shih-Jen and Ikram, M Arfan and Lewis, Raychel M and Ingelsson, Erik and Jakobsdottir, Johanna and Jonsdottir, Ingileif and Jonsson, Helgi and Joshi, Peter K and Josyula, Navya Shilpa and Jung, Bettina and K{\"a}h{\"o}nen, Mika and Kamatani, Yoichiro and Kanai, Masahiro and Kerr, Shona M and Kiess, Wieland and Kleber, Marcus E and Koenig, Wolfgang and Kooner, Jaspal S and K{\"o}rner, Antje and Kovacs, Peter and Kr{\"a}mer, Bernhard K and Kronenberg, Florian and Kubo, Michiaki and Kuhnel, Brigitte and La Bianca, Martina and Lange, Leslie A and Lehne, Benjamin and Lehtim{\"a}ki, Terho and Liu, Jun and Loeffler, Markus and Loos, Ruth J F and Lyytik{\"a}inen, Leo-Pekka and M{\"a}gi, Reedik and Mahajan, Anubha and Martin, Nicholas G and M{\"a}rz, Winfried and Mascalzoni, Deborah and Matsuda, Koichi and Meisinger, Christa and Meitinger, Thomas and Metspalu, Andres and Milaneschi, Yuri and O{\textquoteright}Donnell, Christopher J and Wilson, Otis D and Gaziano, J Michael and Mishra, Pashupati P and Mohlke, Karen L and Mononen, Nina and Montgomery, Grant W and Mook-Kanamori, Dennis O and M{\"u}ller-Nurasyid, Martina and Nadkarni, Girish N and Nalls, Mike A and Nauck, Matthias and Nikus, Kjell and Ning, Boting and Nolte, Ilja M and Noordam, Raymond and O{\textquoteright}Connell, Jeffrey R and Olafsson, Isleifur and Padmanabhan, Sandosh and Penninx, Brenda W J H and Perls, Thomas and Peters, Annette and Pirastu, Mario and Pirastu, Nicola and Pistis, Giorgio and Polasek, Ozren and Ponte, Belen and Porteous, David J and Poulain, Tanja and Preuss, Michael H and Rabelink, Ton J and Raffield, Laura M and Raitakari, Olli T and Rettig, Rainer and Rheinberger, Myriam and Rice, Kenneth M and Rizzi, Federica and Robino, Antonietta and Rudan, Igor and Krajcoviechova, Alena and Cifkova, Renata and Rueedi, Rico and Ruggiero, Daniela and Ryan, Kathleen A and Saba, Yasaman and Salvi, Erika and Schmidt, Helena and Schmidt, Reinhold and Shaffer, Christian M and Smith, Albert V and Smith, Blair H and Spracklen, Cassandra N and Strauch, Konstantin and Stumvoll, Michael and Sulem, Patrick and Tajuddin, Salman M and Teren, Andrej and Thiery, Joachim and Thio, Chris H L and Thorsteinsdottir, Unnur and Toniolo, Daniela and T{\"o}njes, Anke and Tremblay, Johanne and Uitterlinden, Andr{\'e} G and Vaccargiu, Simona and van der Harst, Pim and van Duijn, Cornelia M and Verweij, Niek and V{\"o}lker, Uwe and Vollenweider, Peter and Waeber, G{\'e}rard and Waldenberger, Melanie and Whitfield, John B and Wild, Sarah H and Wilson, James F and Yang, Qiong and Zhang, Weihua and Zonderman, Alan B and Bochud, Murielle and Wilson, James G and Pendergrass, Sarah A and Ho, Kevin and Parsa, Afshin and Pramstaller, Peter P and Psaty, Bruce M and B{\"o}ger, Carsten A and Snieder, Harold and Butterworth, Adam S and Okada, Yukinori and Edwards, Todd L and Stefansson, Kari and Susztak, Katalin and Scholz, Markus and Heid, Iris M and Hung, Adriana M and Teumer, Alexander and Pattaro, Cristian and Woodward, Owen M and Vitart, Veronique and K{\"o}ttgen, Anna} } @article {8625, title = {Genetic loci associated with prevalent and incident myocardial infarction and coronary heart disease in the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium.}, journal = {PLoS One}, volume = {15}, year = {2020}, month = {2020}, pages = {e0230035}, abstract = {

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

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

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

}, keywords = {Aging, Coronary Artery Disease, Cross-Sectional Studies, Europe, European Continental Ancestry Group, Genetic Loci, Genome-Wide Association Study, Humans, Myocardial Infarction, Polymorphism, Single Nucleotide, Prospective Studies}, issn = {1932-6203}, doi = {10.1371/journal.pone.0230035}, author = {Hahn, Julie and Fu, Yi-Ping and Brown, Michael R and Bis, Joshua C and de Vries, Paul S and Feitosa, Mary F and Yanek, Lisa R and Weiss, Stefan and Giulianini, Franco and Smith, Albert Vernon and Guo, Xiuqing and Bartz, Traci M and Becker, Diane M and Becker, Lewis C and Boerwinkle, Eric and Brody, Jennifer A and Chen, Yii-Der Ida and Franco, Oscar H and Grove, Megan and Harris, Tamara B and Hofman, Albert and Hwang, Shih-Jen and Kral, Brian G and Launer, Lenore J and Markus, Marcello R P and Rice, Kenneth M and Rich, Stephen S and Ridker, Paul M and Rivadeneira, Fernando and Rotter, Jerome I and Sotoodehnia, Nona and Taylor, Kent D and Uitterlinden, Andr{\'e} G and V{\"o}lker, Uwe and V{\"o}lzke, Henry and Yao, Jie and Chasman, Daniel I and D{\"o}rr, Marcus and Gudnason, Vilmundur and Mathias, Rasika A and Post, Wendy and Psaty, Bruce M and Dehghan, Abbas and O{\textquoteright}Donnell, Christopher J and Morrison, Alanna C} } @article {8405, title = {Incorporating sampling weights into robust estimation of Cox proportional hazards regression model, with illustration in the Multi-Ethnic Study of Atherosclerosis.}, journal = {BMC Med Res Methodol}, volume = {20}, year = {2020}, month = {2020 03 14}, pages = {62}, abstract = {

BACKGROUND: Cox proportional hazards regression models are used to evaluate associations between exposures of interest and time-to-event outcomes in observational data. When exposures are measured on only a sample of participants, as they are in a case-cohort design, the sampling weights must be incorporated into the regression model to obtain unbiased estimating equations.

METHODS: Robust Cox methods have been developed to better estimate associations when there are influential outliers in the exposure of interest, but these robust methods do not incorporate sampling weights. In this paper, we extend these robust methods, which already incorporate influence weights, so that they also accommodate sampling weights.

RESULTS: Simulations illustrate that in the presence of influential outliers, the association estimate from the weighted robust method is closer to the true value than the estimate from traditional weighted Cox regression. As expected, in the absence of outliers, the use of robust methods yields a small loss of efficiency. Using data from a case-cohort study that is nested within the Multi-Ethnic Study of Atherosclerosis (MESA) longitudinal cohort study, we illustrate differences between traditional and robust weighted Cox association estimates for the relationships between immune cell traits and risk of stroke.

CONCLUSIONS: Robust weighted Cox regression methods are a new tool to analyze time-to-event data with sampling, e.g. case-cohort data, when exposures of interest contain outliers.

}, issn = {1471-2288}, doi = {10.1186/s12874-020-00945-9}, author = {Sitlani, Colleen M and Lumley, Thomas and McKnight, Barbara and Rice, Kenneth M and Olson, Nels C and Doyle, Margaret F and Huber, Sally A and Tracy, Russell P and Psaty, Bruce M and C Delaney, Joseph A} } @article {8624, title = {Meta-analysis uncovers genome-wide significant variants for rapid kidney function decline.}, journal = {Kidney Int}, year = {2020}, month = {2020 Oct 30}, abstract = {

Rapid decline of glomerular filtration rate estimated from creatinine (eGFRcrea) is associated with severe clinical endpoints. In contrast to cross-sectionally assessed eGFRcrea, the genetic basis for rapid eGFRcrea decline is largely unknown. To help define this, we meta-analyzed 42 genome-wide association studies from the Chronic Kidney Diseases Genetics Consortium and United Kingdom Biobank to identify genetic loci for rapid eGFRcrea decline. Two definitions of eGFRcrea decline were used: 3 mL/min/1.73m/year or more ("Rapid3"; encompassing 34,874 cases, 107,090 controls) and eGFRcrea decline 25\% or more and eGFRcrea under 60 mL/min/1.73m at follow-up among those with eGFRcrea 60 mL/min/1.73m or more at baseline ("CKDi25"; encompassing 19,901 cases, 175,244 controls). Seven independent variants were identified across six loci for Rapid3 and/or CKDi25: consisting of five variants at four loci with genome-wide significance (near UMOD-PDILT (2), PRKAG2, WDR72, OR2S2) and two variants among 265 known eGFRcrea variants (near GATM, LARP4B). All these loci were novel for Rapid3 and/or CKDi25 and our bioinformatic follow-up prioritized variants and genes underneath these loci. The OR2S2 locus is novel for any eGFRcrea trait including interesting candidates. For the five genome-wide significant lead variants, we found supporting effects for annual change in blood urea nitrogen or cystatin-based eGFR, but not for GATM or LARP4B. Individuals at high compared to those at low genetic risk (8-14 vs 0-5 adverse alleles) had a 1.20-fold increased risk of acute kidney injury (95\% confidence interval 1.08-1.33). Thus, our identified loci for rapid kidney function decline may help prioritize therapeutic targets and identify mechanisms and individuals at risk for sustained deterioration of kidney function.

}, issn = {1523-1755}, doi = {10.1016/j.kint.2020.09.030}, author = {Gorski, Mathias and Jung, Bettina and Li, Yong and Matias-Garcia, Pamela R and Wuttke, Matthias and Coassin, Stefan and Thio, Chris H L and Kleber, Marcus E and Winkler, Thomas W and Wanner, Veronika and Chai, Jin-Fang and Chu, Audrey Y and Cocca, Massimiliano and Feitosa, Mary F and Ghasemi, Sahar and Hoppmann, Anselm and Horn, Katrin and Li, Man and Nutile, Teresa and Scholz, Markus and Sieber, Karsten B and Teumer, Alexander and Tin, Adrienne and Wang, Judy and Tayo, Bamidele O and Ahluwalia, Tarunveer S and Almgren, Peter and Bakker, Stephan J L and Banas, Bernhard and Bansal, Nisha and Biggs, Mary L and Boerwinkle, Eric and Bottinger, Erwin P and Brenner, Hermann and Carroll, Robert J and Chalmers, John and Chee, Miao-Li and Chee, Miao-Ling and Cheng, Ching-Yu and Coresh, Josef and de Borst, Martin H and Degenhardt, Frauke and Eckardt, Kai-Uwe and Endlich, Karlhans and Franke, Andre and Freitag-Wolf, Sandra and Gampawar, Piyush and Gansevoort, Ron T and Ghanbari, Mohsen and Gieger, Christian and Hamet, Pavel and Ho, Kevin and Hofer, Edith and Holleczek, Bernd and Xian Foo, Valencia Hui and Hutri-K{\"a}h{\"o}nen, Nina and Hwang, Shih-Jen and Ikram, M Arfan and Josyula, Navya Shilpa and K{\"a}h{\"o}nen, Mika and Khor, Chiea-Chuen and Koenig, Wolfgang and Kramer, Holly and Kr{\"a}mer, Bernhard K and Kuhnel, Brigitte and Lange, Leslie A and Lehtim{\"a}ki, Terho and Lieb, Wolfgang and Loos, Ruth J F and Lukas, Mary Ann and Lyytik{\"a}inen, Leo-Pekka and Meisinger, Christa and Meitinger, Thomas and Melander, Olle and Milaneschi, Yuri and Mishra, Pashupati P and Mononen, Nina and Mychaleckyj, Josyf C and Nadkarni, Girish N and Nauck, Matthias and Nikus, Kjell and Ning, Boting and Nolte, Ilja M and O{\textquoteright}Donoghue, Michelle L and Orho-Melander, Marju and Pendergrass, Sarah A and Penninx, Brenda W J H and Preuss, Michael H and Psaty, Bruce M and Raffield, Laura M and Raitakari, Olli T and Rettig, Rainer and Rheinberger, Myriam and Rice, Kenneth M and Rosenkranz, Alexander R and Rossing, Peter and Rotter, Jerome I and Sabanayagam, Charumathi and Schmidt, Helena and Schmidt, Reinhold and Sch{\"o}ttker, Ben and Schulz, Christina-Alexandra and Sedaghat, Sanaz and Shaffer, Christian M and Strauch, Konstantin and Szymczak, Silke and Taylor, Kent D and Tremblay, Johanne and Chaker, Layal and van der Harst, Pim and van der Most, Peter J and Verweij, Niek and V{\"o}lker, Uwe and Waldenberger, Melanie and Wallentin, Lars and Waterworth, Dawn M and White, Harvey D and Wilson, James G and Wong, Tien-Yin and Woodward, Mark and Yang, Qiong and Yasuda, Masayuki and Yerges-Armstrong, Laura M and Zhang, Yan and Snieder, Harold and Wanner, Christoph and B{\"o}ger, Carsten A and K{\"o}ttgen, Anna and Kronenberg, Florian and Pattaro, Cristian and Heid, Iris M} } @article {8838, title = {BinomiRare: A robust test for association of a rare genetic variant with a binary outcome for mixed models and any case-control proportion.}, journal = {HGG Adv}, volume = {2}, year = {2021}, month = {2021 Jul 08}, abstract = {

Whole-genome sequencing (WGS) and whole-exome sequencing studies have become increasingly available and are being used to identify rare genetic variants associated with health and disease outcomes. Investigators routinely use mixed models to account for genetic relatedness or other clustering variables (e.g., family or household) when testing genetic associations. However, no existing tests of the association of a rare variant with a binary outcome in the presence of correlated data control the type 1 error where there are (1) few individuals harboring the rare allele, (2) a small proportion of cases relative to controls, and (3) covariates to adjust for. Here, we address all three issues in developing a framework for testing rare variant association with a binary trait in individuals harboring at least one risk allele. In this framework, we estimate outcome probabilities under the null hypothesis and then use them, within the individuals with at least one risk allele, to test variant associations. We extend the BinomiRare test, which was previously proposed for independent observations, and develop the Conway-Maxwell-Poisson (CMP) test and study their properties in simulations. We show that the BinomiRare test always controls the type 1 error, while the CMP test sometimes does not. We then use the BinomiRare test to test the association of rare genetic variants in target genes with small-vessel disease (SVD) stroke, short sleep, and venous thromboembolism (VTE), in whole-genome sequence data from the Trans-Omics for Precision Medicine (TOPMed) program.

}, issn = {2666-2477}, doi = {10.1016/j.xhgg.2021.100040}, author = {Sofer, Tamar and Lee, Jiwon and Kurniansyah, Nuzulul and Jain, Deepti and Laurie, Cecelia A and Gogarten, Stephanie M and Conomos, Matthew P and Heavner, Ben and Hu, Yao and Kooperberg, Charles and Haessler, Jeffrey and Vasan, Ramachandran S and Cupples, L Adrienne and Coombes, Brandon J and Seyerle, Amanda and Gharib, Sina A and Chen, Han and O{\textquoteright}Connell, Jeffrey R and Zhang, Man and Gottlieb, Daniel J and Psaty, Bruce M and Longstreth, W T and Rotter, Jerome I and Taylor, Kent D and Rich, Stephen S and Guo, Xiuqing and Boerwinkle, Eric and Morrison, Alanna C and Pankow, James S and Johnson, Andrew D and Pankratz, Nathan and Reiner, Alex P and Redline, Susan and Smith, Nicholas L and Rice, Kenneth M and Schifano, Elizabeth D} } @article {8666, title = {Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program.}, journal = {Nature}, volume = {590}, year = {2021}, month = {2021 02}, pages = {290-299}, abstract = {

The Trans-Omics for Precision Medicine (TOPMed) programme seeks to elucidate the genetic architecture and biology of heart, lung, blood and sleep disorders, with the ultimate goal of improving diagnosis, treatment and prevention of these diseases. The initial phases of the programme focused on whole-genome sequencing of individuals with rich phenotypic data and diverse backgrounds. Here we describe the TOPMed goals and design as well as the available resources and early insights obtained from the sequence data. The resources include a variant browser, a genotype imputation server, and genomic and phenotypic data that are available through dbGaP (Database of Genotypes and Phenotypes). In the first 53,831 TOPMed samples, we detected more than 400~million single-nucleotide and insertion or deletion variants after alignment with the reference genome. Additional previously undescribed variants were detected through assembly of unmapped reads and customized analysis in highly variable loci. Among the more than 400~million detected variants, 97\% have frequencies of less than 1\% and 46\% are singletons that are present in only one individual (53\% among unrelated individuals). These rare variants provide insights into mutational processes and recent human evolutionary history. The extensive catalogue of genetic variation in TOPMed studies provides unique opportunities for exploring the contributions of rare and noncoding sequence variants to phenotypic variation. Furthermore, combining TOPMed haplotypes with modern imputation methods improves the power and reach of genome-wide association studies to include variants down to a frequency of approximately 0.01\%.

}, issn = {1476-4687}, doi = {10.1038/s41586-021-03205-y}, author = {Taliun, Daniel and Harris, Daniel N and Kessler, Michael D and Carlson, Jedidiah and Szpiech, Zachary A and Torres, Raul and Taliun, Sarah A Gagliano and Corvelo, Andr{\'e} and Gogarten, Stephanie M and Kang, Hyun Min and Pitsillides, Achilleas N and LeFaive, Jonathon and Lee, Seung-Been and Tian, Xiaowen and Browning, Brian L and Das, Sayantan and Emde, Anne-Katrin and Clarke, Wayne E and Loesch, Douglas P and Shetty, Amol C and Blackwell, Thomas W and Smith, Albert V and Wong, Quenna and Liu, Xiaoming and Conomos, Matthew P and Bobo, Dean M and Aguet, Francois and Albert, Christine and Alonso, Alvaro and Ardlie, Kristin G and Arking, Dan E and Aslibekyan, Stella and Auer, Paul L and Barnard, John and Barr, R Graham and Barwick, Lucas and Becker, Lewis C and Beer, Rebecca L and Benjamin, Emelia J and Bielak, Lawrence F and Blangero, John and Boehnke, Michael and Bowden, Donald W and Brody, Jennifer A and Burchard, Esteban G and Cade, Brian E and Casella, James F and Chalazan, Brandon and Chasman, Daniel I and Chen, Yii-Der Ida and Cho, Michael H and Choi, Seung Hoan and Chung, Mina K and Clish, Clary B and Correa, Adolfo and Curran, Joanne E and Custer, Brian and Darbar, Dawood and Daya, Michelle and de Andrade, Mariza and DeMeo, Dawn L and Dutcher, Susan K and Ellinor, Patrick T and Emery, Leslie S and Eng, Celeste and Fatkin, Diane and Fingerlin, Tasha and Forer, Lukas and Fornage, Myriam and Franceschini, Nora and Fuchsberger, Christian and Fullerton, Stephanie M and Germer, Soren and Gladwin, Mark T and Gottlieb, Daniel J and Guo, Xiuqing and Hall, Michael E and He, Jiang and Heard-Costa, Nancy L and Heckbert, Susan R and Irvin, Marguerite R and Johnsen, Jill M and Johnson, Andrew D and Kaplan, Robert and Kardia, Sharon L R and Kelly, Tanika and Kelly, Shannon and Kenny, Eimear E and Kiel, Douglas P and Klemmer, Robert and Konkle, Barbara A and Kooperberg, Charles and K{\"o}ttgen, Anna and Lange, Leslie A and Lasky-Su, Jessica and Levy, Daniel and Lin, Xihong and Lin, Keng-Han and Liu, Chunyu and Loos, Ruth J F and Garman, Lori and Gerszten, Robert and Lubitz, Steven A and Lunetta, Kathryn L and Mak, Angel C Y and Manichaikul, Ani and Manning, Alisa K and Mathias, Rasika A and McManus, David D and McGarvey, Stephen T and Meigs, James B and Meyers, Deborah A and Mikulla, Julie L and Minear, Mollie A and Mitchell, Braxton D and Mohanty, Sanghamitra and Montasser, May E and Montgomery, Courtney and Morrison, Alanna C and Murabito, Joanne M and Natale, Andrea and Natarajan, Pradeep and Nelson, Sarah C and North, Kari E and O{\textquoteright}Connell, Jeffrey R and Palmer, Nicholette D and Pankratz, Nathan and Peloso, Gina M and Peyser, Patricia A and Pleiness, Jacob and Post, Wendy S and Psaty, Bruce M and Rao, D C and Redline, Susan and Reiner, Alexander P and Roden, Dan and Rotter, Jerome I and Ruczinski, Ingo and Sarnowski, Chloe and Schoenherr, Sebastian and Schwartz, David A and Seo, Jeong-Sun and Seshadri, Sudha and Sheehan, Vivien A and Sheu, Wayne H and Shoemaker, M Benjamin and Smith, Nicholas L and Smith, Jennifer A and Sotoodehnia, Nona and Stilp, Adrienne M and Tang, Weihong and Taylor, Kent D and Telen, Marilyn and Thornton, Timothy A and Tracy, Russell P and Van Den Berg, David J and Vasan, Ramachandran S and Viaud-Martinez, Karine A and Vrieze, Scott and Weeks, Daniel E and Weir, Bruce S and Weiss, Scott T and Weng, Lu-Chen and Willer, Cristen J and Zhang, Yingze and Zhao, Xutong and Arnett, Donna K and Ashley-Koch, Allison E and Barnes, Kathleen C and Boerwinkle, Eric and Gabriel, Stacey and Gibbs, Richard and Rice, Kenneth M and Rich, Stephen S and Silverman, Edwin K and Qasba, Pankaj and Gan, Weiniu and Papanicolaou, George J and Nickerson, Deborah A and Browning, Sharon R and Zody, Michael C and Z{\"o}llner, Sebastian and Wilson, James G and Cupples, L Adrienne and Laurie, Cathy C and Jaquish, Cashell E and Hernandez, Ryan D and O{\textquoteright}Connor, Timothy D and Abecasis, Goncalo R} } @article {9112, title = {Differential and shared genetic effects on kidney function between diabetic and non-diabetic individuals.}, journal = {Commun Biol}, volume = {5}, year = {2022}, month = {2022 Jun 13}, pages = {580}, abstract = {

Reduced glomerular filtration rate (GFR) can progress to kidney failure. Risk factors include genetics and diabetes mellitus (DM), but little is known about their interaction. We conducted genome-wide association meta-analyses for estimated GFR based on serum creatinine (eGFR), separately for individuals with or without DM (n = 178,691, n = 1,296,113). Our genome-wide searches identified (i) seven eGFR loci with significant DM/noDM-difference, (ii) four additional novel loci with suggestive difference and (iii) 28 further novel loci (including CUBN) by allowing for potential difference. GWAS on eGFR among DM individuals identified 2 known and 27 potentially responsible loci for diabetic kidney disease. Gene prioritization highlighted 18 genes that may inform reno-protective drug development. We highlight the existence of DM-only and noDM-only effects, which can inform about the target group, if respective genes are advanced as drug targets. Largely shared effects suggest that most drug interventions to alter eGFR should be effective in DM and noDM.

}, keywords = {Creatinine, Diabetes Mellitus, Diabetic Nephropathies, Genome-Wide Association Study, Glomerular Filtration Rate, Humans, Kidney}, issn = {2399-3642}, doi = {10.1038/s42003-022-03448-z}, author = {Winkler, Thomas W and Rasheed, Humaira and Teumer, Alexander and Gorski, Mathias and Rowan, Bryce X and Stanzick, Kira J and Thomas, Laurent F and Tin, Adrienne and Hoppmann, Anselm and Chu, Audrey Y and Tayo, Bamidele and Thio, Chris H L and Cusi, Daniele and Chai, Jin-Fang and Sieber, Karsten B and Horn, Katrin and Li, Man and Scholz, Markus and Cocca, Massimiliano and Wuttke, Matthias and van der Most, Peter J and Yang, Qiong and Ghasemi, Sahar and Nutile, Teresa and Li, Yong and Pontali, Giulia and G{\"u}nther, Felix and Dehghan, Abbas and Correa, Adolfo and Parsa, Afshin and Feresin, Agnese and de Vries, Aiko P J and Zonderman, Alan B and Smith, Albert V and Oldehinkel, Albertine J and De Grandi, Alessandro and Rosenkranz, Alexander R and Franke, Andre and Teren, Andrej and Metspalu, Andres and Hicks, Andrew A and Morris, Andrew P and T{\"o}njes, Anke and Morgan, Anna and Podgornaia, Anna I and Peters, Annette and K{\"o}rner, Antje and Mahajan, Anubha and Campbell, Archie and Freedman, Barry I and Spedicati, Beatrice and Ponte, Belen and Sch{\"o}ttker, Ben and Brumpton, Ben and Banas, Bernhard and Kr{\"a}mer, Bernhard K and Jung, Bettina and {\r A}svold, Bj{\o}rn Olav and Smith, Blair H and Ning, Boting and Penninx, Brenda W J H and Vanderwerff, Brett R and Psaty, Bruce M and Kammerer, Candace M and Langefeld, Carl D and Hayward, Caroline and Spracklen, Cassandra N and Robinson-Cohen, Cassianne and Hartman, Catharina A and Lindgren, Cecilia M and Wang, Chaolong and Sabanayagam, Charumathi and Heng, Chew-Kiat and Lanzani, Chiara and Khor, Chiea-Chuen and Cheng, Ching-Yu and Fuchsberger, Christian and Gieger, Christian and Shaffer, Christian M and Schulz, Christina-Alexandra and Willer, Cristen J and Chasman, Daniel I and Gudbjartsson, Daniel F and Ruggiero, Daniela and Toniolo, Daniela and Czamara, Darina and Porteous, David J and Waterworth, Dawn M and Mascalzoni, Deborah and Mook-Kanamori, Dennis O and Reilly, Dermot F and Daw, E Warwick and Hofer, Edith and Boerwinkle, Eric and Salvi, Erika and Bottinger, Erwin P and Tai, E-Shyong and Catamo, Eulalia and Rizzi, Federica and Guo, Feng and Rivadeneira, Fernando and Guilianini, Franco and Sveinbjornsson, Gardar and Ehret, Georg and Waeber, G{\'e}rard and Biino, Ginevra and Girotto, Giorgia and Pistis, Giorgio and Nadkarni, Girish N and Delgado, Graciela E and Montgomery, Grant W and Snieder, Harold and Campbell, Harry and White, Harvey D and Gao, He and Stringham, Heather M and Schmidt, Helena and Li, Hengtong and Brenner, Hermann and Holm, Hilma and Kirsten, Holgen and Kramer, Holly and Rudan, Igor and Nolte, Ilja M and Tzoulaki, Ioanna and Olafsson, Isleifur and Martins, Jade and Cook, James P and Wilson, James F and Halbritter, Jan and Felix, Janine F and Divers, Jasmin and Kooner, Jaspal S and Lee, Jeannette Jen-Mai and O{\textquoteright}Connell, Jeffrey and Rotter, Jerome I and Liu, Jianjun and Xu, Jie and Thiery, Joachim and Arnl{\"o}v, Johan and Kuusisto, Johanna and Jakobsdottir, Johanna and Tremblay, Johanne and Chambers, John C and Whitfield, John B and Gaziano, John M and Marten, Jonathan and Coresh, Josef and Jonas, Jost B and Mychaleckyj, Josyf C and Christensen, Kaare and Eckardt, Kai-Uwe and Mohlke, Karen L and Endlich, Karlhans and Dittrich, Katalin and Ryan, Kathleen A and Rice, Kenneth M and Taylor, Kent D and Ho, Kevin and Nikus, Kjell and Matsuda, Koichi and Strauch, Konstantin and Miliku, Kozeta and Hveem, Kristian and Lind, Lars and Wallentin, Lars and Yerges-Armstrong, Laura M and Raffield, Laura M and Phillips, Lawrence S and Launer, Lenore J and Lyytik{\"a}inen, Leo-Pekka and Lange, Leslie A and Citterio, Lorena and Klaric, Lucija and Ikram, M Arfan and Ising, Marcus and Kleber, Marcus E and Francescatto, Margherita and Concas, Maria Pina and Ciullo, Marina and Piratsu, Mario and Orho-Melander, Marju and Laakso, Markku and Loeffler, Markus and Perola, Markus and de Borst, Martin H and G{\"o}gele, Martin and Bianca, Martina La and Lukas, Mary Ann and Feitosa, Mary F and Biggs, Mary L and Wojczynski, Mary K and Kavousi, Maryam and Kanai, Masahiro and Akiyama, Masato and Yasuda, Masayuki and Nauck, Matthias and Waldenberger, Melanie and Chee, Miao-Li and Chee, Miao-Ling and Boehnke, Michael and Preuss, Michael H and Stumvoll, Michael and Province, Michael A and Evans, Michele K and O{\textquoteright}Donoghue, Michelle L and Kubo, Michiaki and K{\"a}h{\"o}nen, Mika and Kastarinen, Mika and Nalls, Mike A and Kuokkanen, Mikko and Ghanbari, Mohsen and Bochud, Murielle and Josyula, Navya Shilpa and Martin, Nicholas G and Tan, Nicholas Y Q and Palmer, Nicholette D and Pirastu, Nicola and Schupf, Nicole and Verweij, Niek and Hutri-K{\"a}h{\"o}nen, Nina and Mononen, Nina and Bansal, Nisha and Devuyst, Olivier and Melander, Olle and Raitakari, Olli T and Polasek, Ozren and Manunta, Paolo and Gasparini, Paolo and Mishra, Pashupati P and Sulem, Patrick and Magnusson, Patrik K E and Elliott, Paul and Ridker, Paul M and Hamet, Pavel and Svensson, Per O and Joshi, Peter K and Kovacs, Peter and Pramstaller, Peter P and Rossing, Peter and Vollenweider, Peter and van der Harst, Pim and Dorajoo, Rajkumar and Sim, Ralene Z H and Burkhardt, Ralph and Tao, Ran and Noordam, Raymond and M{\"a}gi, Reedik and Schmidt, Reinhold and de Mutsert, Ren{\'e}e and Rueedi, Rico and van Dam, Rob M and Carroll, Robert J and Gansevoort, Ron T and Loos, Ruth J F and Felicita, Sala Cinzia and Sedaghat, Sanaz and Padmanabhan, Sandosh and Freitag-Wolf, Sandra and Pendergrass, Sarah A and Graham, Sarah E and Gordon, Scott D and Hwang, Shih-Jen and Kerr, Shona M and Vaccargiu, Simona and Patil, Snehal B and Hallan, Stein and Bakker, Stephan J L and Lim, Su-Chi and Lucae, Susanne and Vogelezang, Suzanne and Bergmann, Sven and Corre, Tanguy and Ahluwalia, Tarunveer S and Lehtim{\"a}ki, Terho and Boutin, Thibaud S and Meitinger, Thomas and Wong, Tien-Yin and Bergler, Tobias and Rabelink, Ton J and Esko, T{\~o}nu and Haller, Toomas and Thorsteinsdottir, Unnur and V{\"o}lker, Uwe and Foo, Valencia Hui Xian and Salomaa, Veikko and Vitart, Veronique and Giedraitis, Vilmantas and Gudnason, Vilmundur and Jaddoe, Vincent W V and Huang, Wei and Zhang, Weihua and Wei, Wen Bin and Kiess, Wieland and M{\"a}rz, Winfried and Koenig, Wolfgang and Lieb, Wolfgang and G{\`a}o, Xin and Sim, Xueling and Wang, Ya Xing and Friedlander, Yechiel and Tham, Yih-Chung and Kamatani, Yoichiro and Okada, Yukinori and Milaneschi, Yuri and Yu, Zhi and Stark, Klaus J and Stefansson, Kari and B{\"o}ger, Carsten A and Hung, Adriana M and Kronenberg, Florian and K{\"o}ttgen, Anna and Pattaro, Cristian and Heid, Iris M} } @article {9167, title = {Endophenotype effect sizes support variant pathogenicity in monogenic disease susceptibility genes.}, journal = {Nat Commun}, volume = {13}, year = {2022}, month = {2022 08 30}, pages = {5106}, abstract = {

Accurate and efficient classification of variant pathogenicity is critical for research and clinical care. Using data from three large studies, we demonstrate that population-based associations between rare variants and quantitative endophenotypes for three monogenic diseases (low-density-lipoprotein cholesterol for familial hypercholesterolemia, electrocardiographic QTc interval for long QT syndrome, and glycosylated hemoglobin for maturity-onset diabetes of the young) provide evidence for variant pathogenicity. Effect sizes are associated with pathogenic ClinVar assertions (P < 0.001 for each trait) and discriminate pathogenic from non-pathogenic variants (area under the curve 0.82-0.84 across endophenotypes). An effect size threshold of >= 0.5 times the endophenotype standard deviation nominates up to 35\% of rare variants of uncertain significance or not in ClinVar in disease susceptibility genes with pathogenic potential. We propose that variant associations with quantitative endophenotypes for monogenic diseases can provide evidence supporting pathogenicity.

}, keywords = {Disease Susceptibility, Endophenotypes, Humans, Long QT Syndrome, Virulence}, issn = {2041-1723}, doi = {10.1038/s41467-022-32009-5}, author = {Halford, Jennifer L and Morrill, Valerie N and Choi, Seung Hoan and Jurgens, Sean J and Melloni, Giorgio and Marston, Nicholas A and Weng, Lu-Chen and Nauffal, Victor and Hall, Amelia W and Gunn, Sophia and Austin-Tse, Christina A and Pirruccello, James P and Khurshid, Shaan and Rehm, Heidi L and Benjamin, Emelia J and Boerwinkle, Eric and Brody, Jennifer A and Correa, Adolfo and Fornwalt, Brandon K and Gupta, Namrata and Haggerty, Christopher M and Harris, Stephanie and Heckbert, Susan R and Hong, Charles C and Kooperberg, Charles and Lin, Henry J and Loos, Ruth J F and Mitchell, Braxton D and Morrison, Alanna C and Post, Wendy and Psaty, Bruce M and Redline, Susan and Rice, Kenneth M and Rich, Stephen S and Rotter, Jerome I and Schnatz, Peter F and Soliman, Elsayed Z and Sotoodehnia, Nona and Wong, Eugene K and Sabatine, Marc S and Ruff, Christian T and Lunetta, Kathryn L and Ellinor, Patrick T and Lubitz, Steven A} } @article {9253, title = {A framework for detecting noncoding rare-variant associations of large-scale whole-genome sequencing studies.}, journal = {Nat Methods}, volume = {19}, year = {2022}, month = {2022 Dec}, pages = {1599-1611}, abstract = {

Large-scale whole-genome sequencing studies have enabled analysis of noncoding rare-variant (RV) associations with complex human diseases and traits. Variant-set analysis is a powerful approach to study RV association. However, existing methods have limited ability in analyzing the noncoding genome. We propose a computationally efficient and robust noncoding RV association detection framework, STAARpipeline, to automatically annotate a whole-genome sequencing study and perform flexible noncoding RV association analysis, including gene-centric analysis and fixed window-based and dynamic window-based non-gene-centric analysis by incorporating variant functional annotations. In gene-centric analysis, STAARpipeline uses STAAR to group noncoding variants based on functional categories of genes and incorporate multiple functional annotations. In non-gene-centric analysis, STAARpipeline uses SCANG-STAAR to incorporate dynamic window sizes and multiple functional annotations. We apply STAARpipeline to identify noncoding RV sets associated with four lipid traits in 21,015 discovery samples from the Trans-Omics for Precision Medicine (TOPMed) program and replicate several of them in an additional 9,123 TOPMed samples. We also analyze five non-lipid TOPMed traits.

}, keywords = {Genetic Variation, Genome, Genome-Wide Association Study, Humans, Phenotype, Whole Genome Sequencing}, issn = {1548-7105}, doi = {10.1038/s41592-022-01640-x}, author = {Li, Zilin and Li, Xihao and Zhou, Hufeng and Gaynor, Sheila M and Selvaraj, Margaret Sunitha and Arapoglou, Theodore and Quick, Corbin and Liu, Yaowu and Chen, Han and Sun, Ryan and Dey, Rounak and Arnett, Donna K and Auer, Paul L and Bielak, Lawrence F and Bis, Joshua C and Blackwell, Thomas W and Blangero, John and Boerwinkle, Eric and Bowden, Donald W and Brody, Jennifer A and Cade, Brian E and Conomos, Matthew P and Correa, Adolfo and Cupples, L Adrienne and Curran, Joanne E and de Vries, Paul S and Duggirala, Ravindranath and Franceschini, Nora and Freedman, Barry I and G{\"o}ring, Harald H H and Guo, Xiuqing and Kalyani, Rita R and Kooperberg, Charles and Kral, Brian G and Lange, Leslie A and Lin, Bridget M and Manichaikul, Ani and Manning, Alisa K and Martin, Lisa W and Mathias, Rasika A and Meigs, James B and Mitchell, Braxton D and Montasser, May E and Morrison, Alanna C and Naseri, Take and O{\textquoteright}Connell, Jeffrey R and Palmer, Nicholette D and Peyser, Patricia A and Psaty, Bruce M and Raffield, Laura M and Redline, Susan and Reiner, Alexander P and Reupena, Muagututi{\textquoteright}a Sefuiva and Rice, Kenneth M and Rich, Stephen S and Smith, Jennifer A and Taylor, Kent D and Taub, Margaret A and Vasan, Ramachandran S and Weeks, Daniel E and Wilson, James G and Yanek, Lisa R and Zhao, Wei and Rotter, Jerome I and Willer, Cristen J and Natarajan, Pradeep and Peloso, Gina M and Lin, Xihong} } @article {9093, title = {Genetic loci and prioritization of genes for kidney function decline derived from a meta-analysis of 62 longitudinal genome-wide association studies.}, journal = {Kidney Int}, year = {2022}, month = {2022 Jun 16}, abstract = {

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

}, issn = {1523-1755}, doi = {10.1016/j.kint.2022.05.021}, author = {Gorski, Mathias and Rasheed, Humaira and Teumer, Alexander and Thomas, Laurent F and Graham, Sarah E and Sveinbjornsson, Gardar and Winkler, Thomas W and G{\"u}nther, Felix and Stark, Klaus J and Chai, Jin-Fang and Tayo, Bamidele O and Wuttke, Matthias and Li, Yong and Tin, Adrienne and Ahluwalia, Tarunveer S and Arnl{\"o}v, Johan and {\r A}svold, Bj{\o}rn Olav and Bakker, Stephan J L and Banas, Bernhard and Bansal, Nisha and Biggs, Mary L and Biino, Ginevra and B{\"o}hnke, Michael and Boerwinkle, Eric and Bottinger, Erwin P and Brenner, Hermann and Brumpton, Ben and Carroll, Robert J and Chaker, Layal and Chalmers, John and Chee, Miao-Li and Chee, Miao-Ling and Cheng, Ching-Yu and Chu, Audrey Y and Ciullo, Marina and Cocca, Massimiliano and Cook, James P and Coresh, Josef and Cusi, Daniele and de Borst, Martin H and Degenhardt, Frauke and Eckardt, Kai-Uwe and Endlich, Karlhans and Evans, Michele K and Feitosa, Mary F and Franke, Andre and Freitag-Wolf, Sandra and Fuchsberger, Christian and Gampawar, Piyush and Gansevoort, Ron T and Ghanbari, Mohsen and Ghasemi, Sahar and Giedraitis, Vilmantas and Gieger, Christian and Gudbjartsson, Daniel F and Hallan, Stein and Hamet, Pavel and Hishida, Asahi and Ho, Kevin and Hofer, Edith and Holleczek, Bernd and Holm, Hilma and Hoppmann, Anselm and Horn, Katrin and Hutri-K{\"a}h{\"o}nen, Nina and Hveem, Kristian and Hwang, Shih-Jen and Ikram, M Arfan and Josyula, Navya Shilpa and Jung, Bettina and K{\"a}h{\"o}nen, Mika and Karabegovi{\'c}, Irma and Khor, Chiea-Chuen and Koenig, Wolfgang and Kramer, Holly and Kr{\"a}mer, Bernhard K and Kuhnel, Brigitte and Kuusisto, Johanna and Laakso, Markku and Lange, Leslie A and Lehtim{\"a}ki, Terho and Li, Man and Lieb, Wolfgang and Lind, Lars and Lindgren, Cecilia M and Loos, Ruth J F and Lukas, Mary Ann and Lyytik{\"a}inen, Leo-Pekka and Mahajan, Anubha and Matias-Garcia, Pamela R and Meisinger, Christa and Meitinger, Thomas and Melander, Olle and Milaneschi, Yuri and Mishra, Pashupati P and Mononen, Nina and Morris, Andrew P and Mychaleckyj, Josyf C and Nadkarni, Girish N and Naito, Mariko and Nakatochi, Masahiro and Nalls, Mike A and Nauck, Matthias and Nikus, Kjell and Ning, Boting and Nolte, Ilja M and Nutile, Teresa and O{\textquoteright}Donoghue, Michelle L and O{\textquoteright}Connell, Jeffrey and Olafsson, Isleifur and Orho-Melander, Marju and Parsa, Afshin and Pendergrass, Sarah A and Penninx, Brenda W J H and Pirastu, Mario and Preuss, Michael H and Psaty, Bruce M and Raffield, Laura M and Raitakari, Olli T and Rheinberger, Myriam and Rice, Kenneth M and Rizzi, Federica and Rosenkranz, Alexander R and Rossing, Peter and Rotter, Jerome I and Ruggiero, Daniela and Ryan, Kathleen A and Sabanayagam, Charumathi and Salvi, Erika and Schmidt, Helena and Schmidt, Reinhold and Scholz, Markus and Sch{\"o}ttker, Ben and Schulz, Christina-Alexandra and Sedaghat, Sanaz and Shaffer, Christian M and Sieber, Karsten B and Sim, Xueling and Sims, Mario and Snieder, Harold and Stanzick, Kira J and Thorsteinsdottir, Unnur and Stocker, Hannah and Strauch, Konstantin and Stringham, Heather M and Sulem, Patrick and Szymczak, Silke and Taylor, Kent D and Thio, Chris H L and Tremblay, Johanne and Vaccargiu, Simona and van der Harst, Pim and van der Most, Peter J and Verweij, Niek and V{\"o}lker, Uwe and Wakai, Kenji and Waldenberger, Melanie and Wallentin, Lars and Wallner, Stefan and Wang, Judy and Waterworth, Dawn M and White, Harvey D and Willer, Cristen J and Wong, Tien-Yin and Woodward, Mark and Yang, Qiong and Yerges-Armstrong, Laura M and Zimmermann, Martina and Zonderman, Alan B and Bergler, Tobias and Stefansson, Kari and B{\"o}ger, Carsten A and Pattaro, Cristian and K{\"o}ttgen, Anna and Kronenberg, Florian and Heid, Iris M} } @article {9099, title = {Insights From a Large-Scale Whole-Genome Sequencing Study of Systolic Blood Pressure, Diastolic Blood Pressure, and Hypertension.}, journal = {Hypertension}, year = {2022}, month = {2022 Jun 02}, pages = {101161HYPERTENSIONAHA12219324}, abstract = {

BACKGROUND: The availability of whole-genome sequencing data in large studies has enabled the assessment of coding and noncoding variants across the allele frequency spectrum for their associations with blood pressure.

METHODS: We conducted a multiancestry whole-genome sequencing analysis of blood pressure among 51 456 Trans-Omics for Precision Medicine and Centers for Common Disease Genomics program participants (stage-1). Stage-2 analyses leveraged array data from UK Biobank (N=383 145), Million Veteran Program (N=318 891), and Reasons for Geographic and Racial Differences in Stroke (N=10 643) participants, along with whole-exome sequencing data from UK Biobank (N=199 631) participants.

RESULTS: Two blood pressure signals achieved genome-wide significance in meta-analyses of stage-1 and stage-2 single variant findings (<5{\texttimes}10). Among them, a rare intergenic variant at novel locus, , was associated with lower systolic blood pressure in stage-1 (beta [SE]=-32.6 [6.0]; =4.99{\texttimes}10) but not stage-2 analysis (=0.11). Furthermore, a novel common variant at the known locus was suggestively associated with diastolic blood pressure in stage-1 (beta [SE]=-0.36 [0.07]; =4.18{\texttimes}10) and attained genome-wide significance in stage-2 (beta [SE]=-0.29 [0.03]; =7.28{\texttimes}10). Nineteen additional signals suggestively associated with blood pressure in meta-analysis of single and aggregate rare variant findings (<1{\texttimes}10 and <1{\texttimes}10, respectively).

DISCUSSION: We report one promising but unconfirmed rare variant for blood pressure and, more importantly, contribute insights for future blood pressure sequencing studies. Our findings suggest promise of aggregate analyses to complement single variant analysis strategies and the need for larger, diverse samples, and family studies to enable robust rare variant identification.

}, issn = {1524-4563}, doi = {10.1161/HYPERTENSIONAHA.122.19324}, author = {Kelly, Tanika N and Sun, Xiao and He, Karen Y and Brown, Michael R and Taliun, Sarah A Gagliano and Hellwege, Jacklyn N and Irvin, Marguerite R and Mi, Xuenan and Brody, Jennifer A and Franceschini, Nora and Guo, Xiuqing and Hwang, Shih-Jen and de Vries, Paul S and Gao, Yan and Moscati, Arden and Nadkarni, Girish N and Yanek, Lisa R and Elfassy, Tali and Smith, Jennifer A and Chung, Ren-Hua and Beitelshees, Amber L and Patki, Amit and Aslibekyan, Stella and Blobner, Brandon M and Peralta, Juan M and Assimes, Themistocles L and Palmas, Walter R and Liu, Chunyu and Bress, Adam P and Huang, Zhijie and Becker, Lewis C and Hwa, Chii-Min and O{\textquoteright}Connell, Jeffrey R and Carlson, Jenna C and Warren, Helen R and Das, Sayantan and Giri, Ayush and Martin, Lisa W and Craig Johnson, W and Fox, Ervin R and Bottinger, Erwin P and Razavi, Alexander C and Vaidya, Dhananjay and Chuang, Lee-Ming and Chang, Yen-Pei C and Naseri, Take and Jain, Deepti and Kang, Hyun Min and Hung, Adriana M and Srinivasasainagendra, Vinodh and Snively, Beverly M and Gu, Dongfeng and Montasser, May E and Reupena, Muagututi{\textquoteright}a Sefuiva and Heavner, Benjamin D and LeFaive, Jonathon and Hixson, James E and Rice, Kenneth M and Wang, Fei Fei and Nielsen, Jonas B and Huang, Jianfeng and Khan, Alyna T and Zhou, Wei and Nierenberg, Jovia L and Laurie, Cathy C and Armstrong, Nicole D and Shi, Mengyao and Pan, Yang and Stilp, Adrienne M and Emery, Leslie and Wong, Quenna and Hawley, Nicola L and Minster, Ryan L and Curran, Joanne E and Munroe, Patricia B and Weeks, Daniel E and North, Kari E and Tracy, Russell P and Kenny, Eimear E and Shimbo, Daichi and Chakravarti, Aravinda and Rich, Stephen S and Reiner, Alex P and Blangero, John and Redline, Susan and Mitchell, Braxton D and Rao, Dabeeru C and Ida Chen, Yii-Der and Kardia, Sharon L R and Kaplan, Robert C and Mathias, Rasika A and He, Jiang and Psaty, Bruce M and Fornage, Myriam and Loos, Ruth J F and Correa, Adolfo and Boerwinkle, Eric and Rotter, Jerome I and Kooperberg, Charles and Edwards, Todd L and Abecasis, Goncalo R and Zhu, Xiaofeng and Levy, Daniel and Arnett, Donna K and Morrison, Alanna C} } @article {9038, title = {Monogenic and Polygenic Contributions to QTc Prolongation in the Population.}, journal = {Circulation}, year = {2022}, month = {2022 Apr 07}, abstract = {

Rare sequence variation in genes underlying cardiac repolarization and common polygenic variation influence QT interval duration. However, current clinical genetic testing of individuals with unexplained QT prolongation is restricted to examination of monogenic rare variants. The recent emergence of large-scale biorepositories with sequence data enables examination of the joint contribution of rare and common variation to the QT interval in the population. We performed a genome wide association study (GWAS) of the QTc in 84,630 United Kingdom Biobank (UKB) participants and created a polygenic risk score (PRS). Among 26,976 participants with whole genome sequencing and electrocardiogram data in the Trans-Omics for Precision Medicine (TOPMed) program, we identified 160 carriers of putative pathogenic rare variants in 10 genes known to be associated with the QT interval. We examined QTc associations with the PRS and with rare variants in TOPMed. Fifty-four independent loci were identified by GWAS in the UKB. Twenty-one loci were novel, of which 12 were replicated in TOPMed. The PRS comprising 1,110,494 common variants was significantly associated with the QTc in TOPMed (ΔQTc/ = 1.4 ms, 95\% CI 1.3 -1.5; p-value=1.1{\texttimes}10). Carriers of putative pathogenic rare variants had longer QTc than non-carriers (ΔQTc=10.9 ms [7.4-14.4]). 23.7\% of individuals with QTc>480 ms carried either a monogenic rare variant or had a PRS in the top decile (3.4\% monogenic, 21\% top decile of PRS). QTc duration in the population is influenced by both rare variants in genes underlying cardiac repolarization and polygenic risk, with a sizeable contribution from polygenic risk. Comprehensive assessment of the genetic determinants of QTc prolongation includes incorporation of both polygenic and monogenic risk.

}, issn = {1524-4539}, doi = {10.1161/CIRCULATIONAHA.121.057261}, author = {Nauffal, Victor and Morrill, Valerie N and Jurgens, Sean J and Choi, Seung Hoan and Hall, Amelia W and Weng, Lu-Chen and Halford, Jennifer L and Austin-Tse, Christina and Haggerty, Christopher M and Harris, Stephanie L and Wong, Eugene K and Alonso, Alvaro and Arking, Dan E and Benjamin, Emelia J and Boerwinkle, Eric and Min, Yuan-I and Correa, Adolfo and Fornwalt, Brandon K and Heckbert, Susan R and Kooperberg, Charles and Lin, Henry J and Loos, Ruth J F and Rice, Kenneth M and Gupta, Namrata and Blackwell, Thomas W and Mitchell, Braxton D and Morrison, Alanna C and Psaty, Bruce M and Post, Wendy S and Redline, Susan and Rehm, Heidi L and Rich, Stephen S and Rotter, Jerome I and Soliman, Elsayed Z and Sotoodehnia, Nona and Lunetta, Kathryn L and Ellinor, Patrick T and Lubitz, Steven A} } @article {9791, title = {Large-scale exome array summary statistics resources for glycemic traits to aid effector gene prioritization.}, journal = {Wellcome Open Res}, volume = {8}, year = {2023}, month = {2023}, pages = {483}, abstract = {

BACKGROUND: Genome-wide association studies for glycemic traits have identified hundreds of loci associated with these biomarkers of glucose homeostasis. Despite this success, the challenge remains to link variant associations to genes, and underlying biological pathways.

METHODS: To identify coding variant associations which may pinpoint effector genes at both novel and previously established genome-wide association loci, we performed meta-analyses of exome-array studies for four glycemic traits: glycated hemoglobin (HbA1c, up to 144,060 participants), fasting glucose (FG, up to 129,665 participants), fasting insulin (FI, up to 104,140) and 2hr glucose post-oral glucose challenge (2hGlu, up to 57,878). In addition, we performed network and pathway analyses.

RESULTS: Single-variant and gene-based association analyses identified coding variant associations at more than 60 genes, which when combined with other datasets may be useful to nominate effector genes. Network and pathway analyses identified pathways related to insulin secretion, zinc transport and fatty acid metabolism. HbA1c associations were strongly enriched in pathways related to blood cell biology.

CONCLUSIONS: Our results provided novel glycemic trait associations and highlighted pathways implicated in glycemic regulation. Exome-array summary statistic results are being made available to the scientific community to enable further discoveries.

}, issn = {2398-502X}, doi = {10.12688/wellcomeopenres.18754.1}, author = {Willems, Sara M and Ng, Natasha H J and Fernandez, Juan and Fine, Rebecca S and Wheeler, Eleanor and Wessel, Jennifer and Kitajima, Hidetoshi and Marenne, Gaelle and Sim, Xueling and Yaghootkar, Hanieh and Wang, Shuai and Chen, Sai and Chen, Yuning and Chen, Yii-Der Ida and Grarup, Niels and Li-Gao, Ruifang and Varga, Tibor V and Asimit, Jennifer L and Feng, Shuang and Strawbridge, Rona J and Kleinbrink, Erica L and Ahluwalia, Tarunveer S and An, Ping and Appel, Emil V and Arking, Dan E and Auvinen, Juha and Bielak, Lawrence F and Bihlmeyer, Nathan A and Bork-Jensen, Jette and Brody, Jennifer A and Campbell, Archie and Chu, Audrey Y and Davies, Gail and Demirkan, Ayse and Floyd, James S and Giulianini, Franco and Guo, Xiuqing and Gustafsson, Stefan and Jackson, Anne U and Jakobsdottir, Johanna and Jarvelin, Marjo-Riitta and Jensen, Richard A and Kanoni, Stavroula and Keinanen-Kiukaanniemi, Sirkka and Li, Man and Lu, Yingchang and Luan, Jian{\textquoteright}an and Manning, Alisa K and Marten, Jonathan and Meidtner, Karina and Mook-Kanamori, Dennis O and Muka, Taulant and Pistis, Giorgio and Prins, Bram and Rice, Kenneth M and Sanna, Serena and Smith, Albert Vernon and Smith, Jennifer A and Southam, Lorraine and Stringham, Heather M and Tragante, Vinicius and van der Laan, Sander W and Warren, Helen R and Yao, Jie and Yiorkas, Andrianos M and Zhang, Weihua and Zhao, Wei and Graff, Mariaelisa and Highland, Heather M and Justice, Anne E and Marouli, Eirini and Medina-G{\'o}mez, Carolina and Afaq, Saima and Alhejily, Wesam A and Amin, Najaf and Asselbergs, Folkert W and Bonnycastle, Lori L and Bots, Michiel L and Brandslund, Ivan and Chen, Ji and Danesh, John and de Mutsert, Ren{\'e}e and Dehghan, Abbas and Ebeling, Tapani and Elliott, Paul and Farmaki, Aliki-Eleni and Faul, Jessica D and Franks, Paul W and Franks, Steve and Fritsche, Andreas and Gjesing, Anette P and Goodarzi, Mark O and Gudnason, Vilmundur and Hallmans, G{\"o}ran and Harris, Tamara B and Herzig, Karl-Heinz and Hivert, Marie-France and J{\o}rgensen, Torben and J{\o}rgensen, Marit E and Jousilahti, Pekka and Kajantie, Eero and Karaleftheri, Maria and Kardia, Sharon L R and Kinnunen, Leena and Koistinen, Heikki A and Komulainen, Pirjo and Kovacs, Peter and Kuusisto, Johanna and Laakso, Markku and Lange, Leslie A and Launer, Lenore J and Leong, Aaron and Lindstr{\"o}m, Jaana and Manning Fox, Jocelyn E and M{\"a}nnist{\"o}, Satu and Maruthur, Nisa M and Moilanen, Leena and Mulas, Antonella and Nalls, Mike A and Neville, Matthew and Pankow, James S and Pattie, Alison and Petersen, Eva R B and Puolijoki, Hannu and Rasheed, Asif and Redmond, Paul and Renstrom, Frida and Roden, Michael and Saleheen, Danish and Saltevo, Juha and Savonen, Kai and Sebert, Sylvain and Skaaby, Tea and Small, Kerrin S and Stan{\v c}{\'a}kov{\'a}, Alena and Stokholm, Jakob and Strauch, Konstantin and Tai, E-Shyong and Taylor, Kent D and Thuesen, Betina H and T{\"o}njes, Anke and Tsafantakis, Emmanouil and Tuomi, Tiinamaija and Tuomilehto, Jaakko and Uusitupa, Matti and V{\"a}{\"a}r{\"a}sm{\"a}ki, Marja and Vaartjes, Ilonca and Zoledziewska, Magdalena and Abecasis, Goncalo and Balkau, Beverley and Bisgaard, Hans and Blakemore, Alexandra I and Bl{\"u}her, Matthias and Boeing, Heiner and Boerwinkle, Eric and B{\o}nnelykke, Klaus and Bottinger, Erwin P and Caulfield, Mark J and Chambers, John C and Chasman, Daniel I and Cheng, Ching-Yu and Collins, Francis S and Coresh, Josef and Cucca, Francesco and de Borst, Gert J and Deary, Ian J and Dedoussis, George and Deloukas, Panos and den Ruijter, Hester M and Dupuis, Jos{\'e}e and Evans, Michele K and Ferrannini, Ele and Franco, Oscar H and Grallert, Harald and Hansen, Torben and Hattersley, Andrew T and Hayward, Caroline and Hirschhorn, Joel N and Ikram, Arfan and Ingelsson, Erik and Karpe, Fredrik and Kaw, Kay-Tee and Kiess, Wieland and Kooner, Jaspal S and K{\"o}rner, Antje and Lakka, Timo and Langenberg, Claudia and Lind, Lars and Lindgren, Cecilia M and Linneberg, Allan and Lipovich, Leonard and Liu, Ching-Ti and Liu, Jun and Liu, Yongmei and Loos, Ruth J F and MacDonald, Patrick E and Mohlke, Karen L and Morris, Andrew D and Munroe, Patricia B and Murray, Alison and Padmanabhan, Sandosh and Palmer, Colin N A and Pasterkamp, Gerard and Pedersen, Oluf and Peyser, Patricia A and Polasek, Ozren and Porteous, David and Province, Michael A and Psaty, Bruce M and Rauramaa, Rainer and Ridker, Paul M and Rolandsson, Olov and Rorsman, Patrik and Rosendaal, Frits R and Rudan, Igor and Salomaa, Veikko and Schulze, Matthias B and Sladek, Robert and Smith, Blair H and Spector, Timothy D and Starr, John M and Stumvoll, Michael and van Duijn, Cornelia M and Walker, Mark and Wareham, Nick J and Weir, David R and Wilson, James G and Wong, Tien Yin and Zeggini, Eleftheria and Zonderman, Alan B and Rotter, Jerome I and Morris, Andrew P and Boehnke, Michael and Florez, Jose C and McCarthy, Mark I and Meigs, James B and Mahajan, Anubha and Scott, Robert A and Gloyn, Anna L and Barroso, In{\^e}s} } @article {9239, title = {Powerful, scalable and resource-efficient meta-analysis of rare variant associations in large whole genome sequencing studies.}, journal = {Nat Genet}, volume = {55}, year = {2023}, month = {2023 Jan}, pages = {154-164}, abstract = {

Meta-analysis of whole genome sequencing/whole exome sequencing (WGS/WES) studies provides an attractive solution to the problem of collecting large sample sizes for discovering rare variants associated with complex phenotypes. Existing rare variant meta-analysis approaches are not scalable to biobank-scale WGS data. Here we present MetaSTAAR, a powerful and resource-efficient rare variant meta-analysis framework for large-scale WGS/WES studies. MetaSTAAR accounts for relatedness and population structure, can analyze both quantitative and dichotomous traits and boosts the power of rare variant tests by incorporating multiple variant functional annotations. Through meta-analysis of four lipid traits in 30,138 ancestrally diverse samples from 14 studies of the Trans Omics for Precision Medicine (TOPMed) Program, we show that MetaSTAAR performs rare variant meta-analysis at scale and produces results comparable to using pooled data. Additionally, we identified several conditionally significant rare variant associations with lipid traits. We further demonstrate that MetaSTAAR is scalable to biobank-scale cohorts through meta-analysis of TOPMed WGS data and UK Biobank WES data of ~200,000 samples.

}, keywords = {Exome Sequencing, Genome-Wide Association Study, Lipids, Phenotype, Whole Genome Sequencing}, issn = {1546-1718}, doi = {10.1038/s41588-022-01225-6}, author = {Li, Xihao and Quick, Corbin and Zhou, Hufeng and Gaynor, Sheila M and Liu, Yaowu and Chen, Han and Selvaraj, Margaret Sunitha and Sun, Ryan and Dey, Rounak and Arnett, Donna K and Bielak, Lawrence F and Bis, Joshua C and Blangero, John and Boerwinkle, Eric and Bowden, Donald W and Brody, Jennifer A and Cade, Brian E and Correa, Adolfo and Cupples, L Adrienne and Curran, Joanne E and de Vries, Paul S and Duggirala, Ravindranath and Freedman, Barry I and G{\"o}ring, Harald H H and Guo, Xiuqing and Haessler, Jeffrey and Kalyani, Rita R and Kooperberg, Charles and Kral, Brian G and Lange, Leslie A and Manichaikul, Ani and Martin, Lisa W and McGarvey, Stephen T and Mitchell, Braxton D and Montasser, May E and Morrison, Alanna C and Naseri, Take and O{\textquoteright}Connell, Jeffrey R and Palmer, Nicholette D and Peyser, Patricia A and Psaty, Bruce M and Raffield, Laura M and Redline, Susan and Reiner, Alexander P and Reupena, Muagututi{\textquoteright}a Sefuiva and Rice, Kenneth M and Rich, Stephen S and Sitlani, Colleen M and Smith, Jennifer A and Taylor, Kent D and Vasan, Ramachandran S and Willer, Cristen J and Wilson, James G and Yanek, Lisa R and Zhao, Wei and Rotter, Jerome I and Natarajan, Pradeep and Peloso, Gina M and Li, Zilin and Lin, Xihong} } @article {9543, title = {A statistical framework for powerful multi-trait rare variant analysis in large-scale whole-genome sequencing studies.}, journal = {bioRxiv}, year = {2023}, month = {2023 Nov 02}, abstract = {

Large-scale whole-genome sequencing (WGS) studies have improved our understanding of the contributions of coding and noncoding rare variants to complex human traits. Leveraging association effect sizes across multiple traits in WGS rare variant association analysis can improve statistical power over single-trait analysis, and also detect pleiotropic genes and regions. Existing multi-trait methods have limited ability to perform rare variant analysis of large-scale WGS data. We propose MultiSTAAR, a statistical framework and computationally-scalable analytical pipeline for functionally-informed multi-trait rare variant analysis in large-scale WGS studies. MultiSTAAR accounts for relatedness, population structure and correlation among phenotypes by jointly analyzing multiple traits, and further empowers rare variant association analysis by incorporating multiple functional annotations. We applied MultiSTAAR to jointly analyze three lipid traits (low-density lipoprotein cholesterol, high-density lipoprotein cholesterol and triglycerides) in 61,861 multi-ethnic samples from the Trans-Omics for Precision Medicine (TOPMed) Program. We discovered new associations with lipid traits missed by single-trait analysis, including rare variants within an enhancer of and an intergenic region on chromosome 1.

}, doi = {10.1101/2023.10.30.564764}, author = {Li, Xihao and Chen, Han and Selvaraj, Margaret Sunitha and Van Buren, Eric and Zhou, Hufeng and Wang, Yuxuan and Sun, Ryan and McCaw, Zachary R and Yu, Zhi and Arnett, Donna K and Bis, Joshua C and Blangero, John and Boerwinkle, Eric and Bowden, Donald W and Brody, Jennifer A and Cade, Brian E and Carson, April P and Carlson, Jenna C and Chami, Nathalie and Chen, Yii-Der Ida and Curran, Joanne E and de Vries, Paul S and Fornage, Myriam and Franceschini, Nora and Freedman, Barry I and Gu, Charles and Heard-Costa, Nancy L and He, Jiang and Hou, Lifang and Hung, Yi-Jen and Irvin, Marguerite R and Kaplan, Robert C and Kardia, Sharon L R and Kelly, Tanika and Konigsberg, Iain and Kooperberg, Charles and Kral, Brian G and Li, Changwei and Loos, Ruth J F and Mahaney, Michael C and Martin, Lisa W and Mathias, Rasika A and Minster, Ryan L and Mitchell, Braxton D and Montasser, May E and Morrison, Alanna C and Palmer, Nicholette D and Peyser, Patricia A and Psaty, Bruce M and Raffield, Laura M and Redline, Susan and Reiner, Alexander P and Rich, Stephen S and Sitlani, Colleen M and Smith, Jennifer A and Taylor, Kent D and Tiwari, Hemant and Vasan, Ramachandran S and Wang, Zhe and Yanek, Lisa R and Yu, Bing and Rice, Kenneth M and Rotter, Jerome I and Peloso, Gina M and Natarajan, Pradeep and Li, Zilin and Liu, Zhonghua and Lin, Xihong} } @article {9666, title = {Genome-wide analysis in over 1 million individuals of European ancestry yields improved polygenic risk scores for blood pressure traits.}, journal = {Nat Genet}, year = {2024}, month = {2024 Apr 30}, abstract = {

Hypertension affects more than one billion people worldwide. Here we identify 113 novel loci, reporting a total of 2,103 independent genetic signals (P < 5 {\texttimes} 10) from the largest single-stage blood pressure (BP) genome-wide association study to date (n = 1,028,980 European individuals). These associations explain more than 60\% of single nucleotide polymorphism-based BP heritability. Comparing top versus bottom deciles of polygenic risk scores (PRSs) reveals clinically meaningful differences in BP (16.9 mmHg systolic BP, 95\% CI, 15.5-18.2 mmHg, P = 2.22 {\texttimes} 10) and more than a sevenfold higher odds of hypertension risk (odds ratio, 7.33; 95\% CI, 5.54-9.70; P = 4.13 {\texttimes} 10) in an independent dataset. Adding PRS into hypertension-prediction models increased the area under the receiver operating characteristic curve (AUROC) from 0.791 (95\% CI, 0.781-0.801) to 0.826 (95\% CI, 0.817-0.836, ∆AUROC, 0.035, P = 1.98 {\texttimes} 10). We compare the 2,103 loci results in non-European ancestries and show significant PRS associations in a large African-American sample. Secondary analyses implicate 500 genes previously unreported for BP. Our study highlights the role of increasingly large genomic studies for precision health research.

}, issn = {1546-1718}, doi = {10.1038/s41588-024-01714-w}, author = {Keaton, Jacob M and Kamali, Zoha and Xie, Tian and Vaez, Ahmad and Williams, Ariel and Goleva, Slavina B and Ani, Alireza and Evangelou, Evangelos and Hellwege, Jacklyn N and Yengo, Loic and Young, William J and Traylor, Matthew and Giri, Ayush and Zheng, Zhili and Zeng, Jian and Chasman, Daniel I and Morris, Andrew P and Caulfield, Mark J and Hwang, Shih-Jen and Kooner, Jaspal S and Conen, David and Attia, John R and Morrison, Alanna C and Loos, Ruth J F and Kristiansson, Kati and Schmidt, Reinhold and Hicks, Andrew A and Pramstaller, Peter P and Nelson, Christopher P and Samani, Nilesh J and Risch, Lorenz and Gyllensten, Ulf and Melander, Olle and Riese, Harri{\"e}tte and Wilson, James F and Campbell, Harry and Rich, Stephen S and Psaty, Bruce M and Lu, Yingchang and Rotter, Jerome I and Guo, Xiuqing and Rice, Kenneth M and Vollenweider, Peter and Sundstr{\"o}m, Johan and Langenberg, Claudia and Tobin, Martin D and Giedraitis, Vilmantas and Luan, Jian{\textquoteright}an and Tuomilehto, Jaakko and Kutalik, Zolt{\'a}n and Ripatti, Samuli and Salomaa, Veikko and Girotto, Giorgia and Trompet, Stella and Jukema, J Wouter and van der Harst, Pim and Ridker, Paul M and Giulianini, Franco and Vitart, Veronique and Goel, Anuj and Watkins, Hugh and Harris, Sarah E and Deary, Ian J and van der Most, Peter J and Oldehinkel, Albertine J and Keavney, Bernard D and Hayward, Caroline and Campbell, Archie and Boehnke, Michael and Scott, Laura J and Boutin, Thibaud and Mamasoula, Chrysovalanto and Jarvelin, Marjo-Riitta and Peters, Annette and Gieger, Christian and Lakatta, Edward G and Cucca, Francesco and Hui, Jennie and Knekt, Paul and Enroth, Stefan and de Borst, Martin H and Polasek, Ozren and Concas, Maria Pina and Catamo, Eulalia and Cocca, Massimiliano and Li-Gao, Ruifang and Hofer, Edith and Schmidt, Helena and Spedicati, Beatrice and Waldenberger, Melanie and Strachan, David P and Laan, Maris and Teumer, Alexander and D{\"o}rr, Marcus and Gudnason, Vilmundur and Cook, James P and Ruggiero, Daniela and Kolcic, Ivana and Boerwinkle, Eric and Traglia, Michela and Lehtim{\"a}ki, Terho and Raitakari, Olli T and Johnson, Andrew D and Newton-Cheh, Christopher and Brown, Morris J and Dominiczak, Anna F and Sever, Peter J and Poulter, Neil and Chambers, John C and Elosua, Roberto and Siscovick, David and Esko, T{\~o}nu and Metspalu, Andres and Strawbridge, Rona J and Laakso, Markku and Hamsten, Anders and Hottenga, Jouke-Jan and de Geus, Eco and Morris, Andrew D and Palmer, Colin N A and Nolte, Ilja M and Milaneschi, Yuri and Marten, Jonathan and Wright, Alan and Zeggini, Eleftheria and Howson, Joanna M M and O{\textquoteright}Donnell, Christopher J and Spector, Tim and Nalls, Mike A and Simonsick, Eleanor M and Liu, Yongmei and van Duijn, Cornelia M and Butterworth, Adam S and Danesh, John N and Menni, Cristina and Wareham, Nicholas J and Khaw, Kay-Tee and Sun, Yan V and Wilson, Peter W F and Cho, Kelly and Visscher, Peter M and Denny, Joshua C and Levy, Daniel and Edwards, Todd L and Munroe, Patricia B and Snieder, Harold and Warren, Helen R} } @article {9579, title = {X-chromosome and kidney function: evidence from a multi-trait genetic analysis of 908,697 individuals reveals sex-specific and sex-differential findings in genes regulated by androgen response elements.}, journal = {Nat Commun}, volume = {15}, year = {2024}, month = {2024 Jan 18}, pages = {586}, abstract = {

X-chromosomal genetic variants are understudied but can yield valuable insights into sexually dimorphic human traits and diseases. We performed a sex-stratified cross-ancestry X-chromosome-wide association meta-analysis of seven kidney-related traits (n = 908,697), identifying 23 loci genome-wide significantly associated with two of the traits: 7 for uric acid and 16 for estimated glomerular filtration rate (eGFR), including four novel eGFR loci containing the functionally plausible prioritized genes ACSL4, CLDN2, TSPAN6 and the female-specific DRP2. Further, we identified five novel sex-interactions, comprising male-specific effects at FAM9B and AR/EDA2R, and three sex-differential findings with larger genetic effect sizes in males at DCAF12L1 and MST4 and larger effect sizes in females at HPRT1. All prioritized genes in loci showing significant sex-interactions were located next to androgen response elements (ARE). Five ARE genes showed sex-differential expressions. This study contributes new insights into sex-dimorphisms of kidney traits along with new prioritized gene targets for further molecular research.

}, keywords = {Androgens, Chromosomes, Human, X, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Kidney, Male, Polymorphism, Single Nucleotide, Response Elements, Tetraspanins}, issn = {2041-1723}, doi = {10.1038/s41467-024-44709-1}, author = {Scholz, Markus and Horn, Katrin and Pott, Janne and Wuttke, Matthias and K{\"u}hnapfel, Andreas and Nasr, M Kamal and Kirsten, Holger and Li, Yong and Hoppmann, Anselm and Gorski, Mathias and Ghasemi, Sahar and Li, Man and Tin, Adrienne and Chai, Jin-Fang and Cocca, Massimiliano and Wang, Judy and Nutile, Teresa and Akiyama, Masato and {\r A}svold, Bj{\o}rn Olav and Bansal, Nisha and Biggs, Mary L and Boutin, Thibaud and Brenner, Hermann and Brumpton, Ben and Burkhardt, Ralph and Cai, Jianwen and Campbell, Archie and Campbell, Harry and Chalmers, John and Chasman, Daniel I and Chee, Miao Ling and Chee, Miao Li and Chen, Xu and Cheng, Ching-Yu and Cifkova, Renata and Daviglus, Martha and Delgado, Graciela and Dittrich, Katalin and Edwards, Todd L and Endlich, Karlhans and Michael Gaziano, J and Giri, Ayush and Giulianini, Franco and Gordon, Scott D and Gudbjartsson, Daniel F and Hallan, Stein and Hamet, Pavel and Hartman, Catharina A and Hayward, Caroline and Heid, Iris M and Hellwege, Jacklyn N and Holleczek, Bernd and Holm, Hilma and Hutri-K{\"a}h{\"o}nen, Nina and Hveem, Kristian and Isermann, Berend and Jonas, Jost B and Joshi, Peter K and Kamatani, Yoichiro and Kanai, Masahiro and Kastarinen, Mika and Khor, Chiea Chuen and Kiess, Wieland and Kleber, Marcus E and K{\"o}rner, Antje and Kovacs, Peter and Krajcoviechova, Alena and Kramer, Holly and Kr{\"a}mer, Bernhard K and Kuokkanen, Mikko and K{\"a}h{\"o}nen, Mika and Lange, Leslie A and Lash, James P and Lehtim{\"a}ki, Terho and Li, Hengtong and Lin, Bridget M and Liu, Jianjun and Loeffler, Markus and Lyytik{\"a}inen, Leo-Pekka and Magnusson, Patrik K E and Martin, Nicholas G and Matsuda, Koichi and Milaneschi, Yuri and Mishra, Pashupati P and Mononen, Nina and Montgomery, Grant W and Mook-Kanamori, Dennis O and Mychaleckyj, Josyf C and M{\"a}rz, Winfried and Nauck, Matthias and Nikus, Kjell and Nolte, Ilja M and Noordam, Raymond and Okada, Yukinori and Olafsson, Isleifur and Oldehinkel, Albertine J and Penninx, Brenda W J H and Perola, Markus and Pirastu, Nicola and Polasek, Ozren and Porteous, David J and Poulain, Tanja and Psaty, Bruce M and Rabelink, Ton J and Raffield, Laura M and Raitakari, Olli T and Rasheed, Humaira and Reilly, Dermot F and Rice, Kenneth M and Richmond, Anne and Ridker, Paul M and Rotter, Jerome I and Rudan, Igor and Sabanayagam, Charumathi and Salomaa, Veikko and Schneiderman, Neil and Sch{\"o}ttker, Ben and Sims, Mario and Snieder, Harold and Stark, Klaus J and Stefansson, Kari and Stocker, Hannah and Stumvoll, Michael and Sulem, Patrick and Sveinbjornsson, Gardar and Svensson, Per O and Tai, E-Shyong and Taylor, Kent D and Tayo, Bamidele O and Teren, Andrej and Tham, Yih-Chung and Thiery, Joachim and Thio, Chris H L and Thomas, Laurent F and Tremblay, Johanne and T{\"o}njes, Anke and van der Most, Peter J and Vitart, Veronique and V{\"o}lker, Uwe and Wang, Ya Xing and Wang, Chaolong and Wei, Wen Bin and Whitfield, John B and Wild, Sarah H and Wilson, James F and Winkler, Thomas W and Wong, Tien-Yin and Woodward, Mark and Sim, Xueling and Chu, Audrey Y and Feitosa, Mary F and Thorsteinsdottir, Unnur and Hung, Adriana M and Teumer, Alexander and Franceschini, Nora and Parsa, Afshin and K{\"o}ttgen, Anna and Schlosser, Pascal and Pattaro, Cristian} } @article {9910, title = {Genome-wide association study meta-analysis provides insights into the etiology of heart failure and its subtypes.}, journal = {Nat Genet}, year = {2025}, month = {2025 Mar 04}, abstract = {

Heart failure (HF) is a major contributor to global morbidity and mortality. While distinct clinical subtypes, defined by etiology and left ventricular ejection fraction, are well recognized, their genetic determinants remain inadequately understood. In this study, we report a genome-wide association study of HF and its subtypes in a sample of 1.9 million individuals. A total of 153,174 individuals had HF, of whom 44,012 had a nonischemic etiology (ni-HF). A subset of patients with ni-HF were stratified based on left ventricular systolic function, where data were available, identifying 5,406 individuals with reduced ejection fraction and 3,841 with preserved ejection fraction. We identify 66 genetic loci associated with HF and its subtypes, 37 of which have not previously been reported. Using functionally informed gene prioritization methods, we predict effector genes for each identified locus, and map these to etiologic disease clusters through phenome-wide association analysis, network analysis and colocalization. Through heritability enrichment analysis, we highlight the role of extracardiac tissues in disease etiology. We then examine the differential associations of upstream risk factors with HF subtypes using Mendelian randomization. These findings extend our understanding of the mechanisms underlying HF etiology and may inform future approaches to prevention and treatment.

}, issn = {1546-1718}, doi = {10.1038/s41588-024-02064-3}, author = {Henry, Albert and Mo, Xiaodong and Finan, Chris and Chaffin, Mark D and Speed, Doug and Issa, Hanane and Denaxas, Spiros and Ware, James S and Zheng, Sean L and M{\"a}larstig, Anders and Gratton, Jasmine and Bond, Isabelle and Roselli, Carolina and Miller, David and Chopade, Sandesh and Schmidt, A Floriaan and Abner, Erik and Adams, Lance and Andersson, Charlotte and Aragam, Krishna G and Arnl{\"o}v, Johan and Asselin, Geraldine and Raja, Anna Axelsson and Backman, Joshua D and Bartz, Traci M and Biddinger, Kiran J and Biggs, Mary L and Bloom, Heather L and Boersma, Eric and Brandimarto, Jeffrey and Brown, Michael R and Brunak, S{\o}ren and Bruun, Mie Topholm and Buckbinder, Leonard and Bundgaard, Henning and Carey, David J and Chasman, Daniel I and Chen, Xing and Cook, James P and Czuba, Tomasz and de Denus, Simon and Dehghan, Abbas and Delgado, Graciela E and Doney, Alexander S and D{\"o}rr, Marcus and Dowsett, Joseph and Dudley, Samuel C and Engstr{\"o}m, Gunnar and Erikstrup, Christian and Esko, T{\~o}nu and Farber-Eger, Eric H and Felix, Stephan B and Finer, Sarah and Ford, Ian and Ghanbari, Mohsen and Ghasemi, Sahar and Ghouse, Jonas and Giedraitis, Vilmantas and Giulianini, Franco and Gottdiener, John S and Gross, Stefan and Gu{\dh}bjartsson, Dan{\'\i}el F and Gui, Hongsheng and Gutmann, Rebecca and H{\"a}gg, Sara and Haggerty, Christopher M and Hedman, {\r A}sa K and Helgadottir, Anna and Hemingway, Harry and Hillege, Hans and Hyde, Craig L and Aagaard Jensen, Bitten and Jukema, J Wouter and Kardys, Isabella and Karra, Ravi and Kavousi, Maryam and Kizer, Jorge R and Kleber, Marcus E and K{\o}ber, Lars and Koekemoer, Andrea and Kuchenbaecker, Karoline and Lai, Yi-Pin and Lanfear, David and Langenberg, Claudia and Lin, Honghuang and Lind, Lars and Lindgren, Cecilia M and Liu, Peter P and London, Barry and Lowery, Brandon D and Luan, Jian{\textquoteright}an and Lubitz, Steven A and Magnusson, Patrik and Margulies, Kenneth B and Marston, Nicholas A and Martin, Hilary and M{\"a}rz, Winfried and Melander, Olle and Mordi, Ify R and Morley, Michael P and Morris, Andrew P and Morrison, Alanna C and Morton, Lori and Nagle, Michael W and Nelson, Christopher P and Niessner, Alexander and Niiranen, Teemu and Noordam, Raymond and Nowak, Christoph and O{\textquoteright}Donoghue, Michelle L and Ostrowski, Sisse Rye and Owens, Anjali T and Palmer, Colin N A and Par{\'e}, Guillaume and Pedersen, Ole Birger and Perola, Markus and Pigeyre, Marie and Psaty, Bruce M and Rice, Kenneth M and Ridker, Paul M and Romaine, Simon P R and Rotter, Jerome I and Ruff, Christian T and Sabatine, Marc S and Sallah, Neneh and Salomaa, Veikko and Sattar, Naveed and Shalaby, Alaa A and Shekhar, Akshay and Smelser, Diane T and Smith, Nicholas L and S{\o}rensen, Erik and Srinivasan, Sundararajan and Stefansson, Kari and Sveinbj{\"o}rnsson, Gar{\dh}ar and Svensson, Per and Tammesoo, Mari-Liis and Tardif, Jean-Claude and Teder-Laving, Maris and Teumer, Alexander and Thorgeirsson, Gu{\dh}mundur and Thorsteinsdottir, Unnur and Torp-Pedersen, Christian and Tragante, Vinicius and Trompet, Stella and Uitterlinden, Andr{\'e} G and Ullum, Henrik and van der Harst, Pim and van Heel, David and van Setten, Jessica and van Vugt, Marion and Veluchamy, Abirami and Verschuuren, Monique and Verweij, Niek and Vissing, Christoffer Rasmus and V{\"o}lker, Uwe and Voors, Adriaan A and Wallentin, Lars and Wang, Yunzhang and Weeke, Peter E and Wiggins, Kerri L and Williams, L Keoki and Yang, Yifan and Yu, Bing and Zannad, Faiez and Zheng, Chaoqun and Asselbergs, Folkert W and Cappola, Thomas P and Dub{\'e}, Marie-Pierre and Dunn, Michael E and Lang, Chim C and Samani, Nilesh J and Shah, Svati and Vasan, Ramachandran S and Smith, J Gustav and Holm, Hilma and Shah, Sonia and Ellinor, Patrick T and Hingorani, Aroon D and Wells, Quinn and Lumbers, R Thomas} } @article {9899, title = {A statistical framework for multi-trait rare variant analysis in large-scale whole-genome sequencing studies.}, journal = {Nat Comput Sci}, volume = {5}, year = {2025}, month = {2025 Feb}, pages = {125-143}, abstract = {

Large-scale whole-genome sequencing (WGS) studies have improved our understanding of the contributions of coding and noncoding rare variants to complex human traits. Leveraging association effect sizes across multiple traits in WGS rare variant association analysis can improve statistical power over single-trait analysis, and also detect pleiotropic genes and regions. Existing multi-trait methods have limited ability to perform rare variant analysis of large-scale WGS data. We propose MultiSTAAR, a statistical framework and computationally scalable analytical pipeline for functionally informed multi-trait rare variant analysis in large-scale WGS studies. MultiSTAAR accounts for relatedness, population structure and correlation among phenotypes by jointly analyzing multiple traits, and further empowers rare variant association analysis by incorporating multiple functional annotations. We applied MultiSTAAR to jointly analyze three lipid traits in 61,838 multi-ethnic samples from the Trans-Omics for Precision Medicine (TOPMed) Program. We discovered and replicated new associations with lipid traits missed by single-trait analysis.

}, keywords = {Genetic Variation, Genome, Human, Genome-Wide Association Study, Humans, Lipids, Phenotype, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Whole Genome Sequencing}, issn = {2662-8457}, doi = {10.1038/s43588-024-00764-8}, author = {Li, Xihao and Chen, Han and Selvaraj, Margaret Sunitha and Van Buren, Eric and Zhou, Hufeng and Wang, Yuxuan and Sun, Ryan and McCaw, Zachary R and Yu, Zhi and Jiang, Min-Zhi and DiCorpo, Daniel and Gaynor, Sheila M and Dey, Rounak and Arnett, Donna K and Benjamin, Emelia J and Bis, Joshua C and Blangero, John and Boerwinkle, Eric and Bowden, Donald W and Brody, Jennifer A and Cade, Brian E and Carson, April P and Carlson, Jenna C and Chami, Nathalie and Chen, Yii-Der Ida and Curran, Joanne E and de Vries, Paul S and Fornage, Myriam and Franceschini, Nora and Freedman, Barry I and Gu, Charles and Heard-Costa, Nancy L and He, Jiang and Hou, Lifang and Hung, Yi-Jen and Irvin, Marguerite R and Kaplan, Robert C and Kardia, Sharon L R and Kelly, Tanika N and Konigsberg, Iain and Kooperberg, Charles and Kral, Brian G and Li, Changwei and Li, Yun and Lin, Honghuang and Liu, Ching-Ti and Loos, Ruth J F and Mahaney, Michael C and Martin, Lisa W and Mathias, Rasika A and Mitchell, Braxton D and Montasser, May E and Morrison, Alanna C and Naseri, Take and North, Kari E and Palmer, Nicholette D and Peyser, Patricia A and Psaty, Bruce M and Redline, Susan and Reiner, Alexander P and Rich, Stephen S and Sitlani, Colleen M and Smith, Jennifer A and Taylor, Kent D and Tiwari, Hemant K and Vasan, Ramachandran S and Viali, Satupa{\textquoteright}itea and Wang, Zhe and Wessel, Jennifer and Yanek, Lisa R and Yu, Bing and Dupuis, Jos{\'e}e and Meigs, James B and Auer, Paul L and Raffield, Laura M and Manning, Alisa K and Rice, Kenneth M and Rotter, Jerome I and Peloso, Gina M and Natarajan, Pradeep and Li, Zilin and Liu, Zhonghua and Lin, Xihong} }