@article {1152, title = {Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium: Design of prospective meta-analyses of genome-wide association studies from 5 cohorts.}, journal = {Circ Cardiovasc Genet}, volume = {2}, year = {2009}, month = {2009 Feb}, pages = {73-80}, abstract = {

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

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

}, keywords = {Adult, Aged, Aging, Cohort Studies, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Heart Diseases, Humans, Male, Meta-Analysis as Topic, Middle Aged, Phenotype, Research Design, Risk Factors}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.108.829747}, author = {Psaty, Bruce M and O{\textquoteright}Donnell, Christopher J and Gudnason, Vilmundur and Lunetta, Kathryn L and Folsom, Aaron R and Rotter, Jerome I and Uitterlinden, Andr{\'e} G and Harris, Tamara B and Witteman, Jacqueline C M and Boerwinkle, Eric} } @article {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 {1098, title = {Genome-wide association study of blood pressure and hypertension.}, journal = {Nat Genet}, volume = {41}, year = {2009}, month = {2009 Jun}, pages = {677-87}, abstract = {

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

}, keywords = {Blood Pressure, Cell Line, Chromosome Mapping, Chromosomes, Human, Diastole, Gene Expression Regulation, Genetic Association Studies, Genome-Wide Association Study, Humans, Hypertension, Liver, Lymphocytes, Meta-Analysis as Topic, Odds Ratio, Phenotype, Prevalence, Risk Assessment, Systole}, issn = {1546-1718}, doi = {10.1038/ng.384}, author = {Levy, Daniel and Ehret, Georg B and Rice, Kenneth and Verwoert, Germaine C and Launer, Lenore J and Dehghan, Abbas and Glazer, Nicole L and Morrison, Alanna C and Johnson, Andrew D and Aspelund, Thor and Aulchenko, Yurii and Lumley, Thomas and K{\"o}ttgen, Anna and Vasan, Ramachandran S and Rivadeneira, Fernando and Eiriksdottir, Gudny and Guo, Xiuqing and Arking, Dan E and Mitchell, Gary F and Mattace-Raso, Francesco U S and Smith, Albert V and Taylor, Kent and Scharpf, Robert B and Hwang, Shih-Jen and Sijbrands, Eric J G and Bis, Joshua and Harris, Tamara B and Ganesh, Santhi K and O{\textquoteright}Donnell, Christopher J and Hofman, Albert and Rotter, Jerome I and Coresh, Josef and Benjamin, Emelia J and Uitterlinden, Andr{\'e} G and Heiss, Gerardo and Fox, Caroline S and Witteman, Jacqueline C M and Boerwinkle, Eric and Wang, Thomas J and Gudnason, Vilmundur and Larson, Martin G and Chakravarti, Aravinda and Psaty, Bruce M and van Duijn, Cornelia M} } @article {6089, title = {Genome-wide association study for circulating levels of PAI-1 provides novel insights into its regulation.}, journal = {Blood}, volume = {120}, year = {2012}, month = {2012 Dec 06}, pages = {4873-81}, abstract = {

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

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