@article {1159, title = {Genome-wide association study of PR interval.}, journal = {Nat Genet}, volume = {42}, year = {2010}, month = {2010 Feb}, pages = {153-9}, abstract = {

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

}, keywords = {Aged, Atrial Fibrillation, Cohort Studies, Electrocardiography, Female, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Heart Conduction System, Humans, Male, Meta-Analysis as Topic}, issn = {1546-1718}, doi = {10.1038/ng.517}, author = {Pfeufer, Arne and van Noord, Charlotte and Marciante, Kristin D and Arking, Dan E and Larson, Martin G and Smith, Albert Vernon and Tarasov, Kirill V and M{\"u}ller, Martina and Sotoodehnia, Nona and Sinner, Moritz F and Verwoert, Germaine C and Li, Man and Kao, W H Linda and K{\"o}ttgen, Anna and Coresh, Josef and Bis, Joshua C and Psaty, Bruce M and Rice, Kenneth and Rotter, Jerome I and Rivadeneira, Fernando and Hofman, Albert and Kors, Jan A and Stricker, Bruno H C and Uitterlinden, Andr{\'e} G and van Duijn, Cornelia M and Beckmann, Britt M and Sauter, Wiebke and Gieger, Christian and Lubitz, Steven A and Newton-Cheh, Christopher and Wang, Thomas J and Magnani, Jared W and Schnabel, Renate B and Chung, Mina K and Barnard, John and Smith, Jonathan D and Van Wagoner, David R and Vasan, Ramachandran S and Aspelund, Thor and Eiriksdottir, Gudny and Harris, Tamara B and Launer, Lenore J and Najjar, Samer S and Lakatta, Edward and Schlessinger, David and Uda, Manuela and Abecasis, Goncalo R and M{\"u}ller-Myhsok, Bertram and Ehret, Georg B and Boerwinkle, Eric and Chakravarti, Aravinda and Soliman, Elsayed Z and Lunetta, Kathryn L and Perz, Siegfried and Wichmann, H-Erich and Meitinger, Thomas and Levy, Daniel and Gudnason, Vilmundur and Ellinor, Patrick T and Sanna, Serena and K{\"a}{\"a}b, Stefan and Witteman, Jacqueline C M and Alonso, Alvaro and Benjamin, Emelia J and Heckbert, Susan R} } @article {1226, title = {Independent susceptibility markers for atrial fibrillation on chromosome 4q25.}, journal = {Circulation}, volume = {122}, year = {2010}, month = {2010 Sep 07}, pages = {976-84}, abstract = {

BACKGROUND: Genetic variants on chromosome 4q25 are associated with atrial fibrillation (AF). We sought to determine whether there is more than 1 susceptibility signal at this locus.

METHODS AND RESULTS: Thirty-four haplotype-tagging single-nucleotide polymorphisms (SNPs) at the 4q25 locus were genotyped in 790 case and 1177 control subjects from Massachusetts General Hospital and tested for association with AF. We replicated SNPs associated with AF after adjustment for the most significantly associated SNP in 5066 case and 30 661 referent subjects from the German Competence Network for Atrial Fibrillation, Atherosclerosis Risk In Communities Study, Cleveland Clinic Lone AF Study, Cardiovascular Health Study, and Rotterdam Study. All subjects were of European ancestry. A multimarker risk score composed of SNPs that tagged distinct AF susceptibility signals was constructed and tested for association with AF, and all results were subjected to meta-analysis. The previously reported SNP, rs2200733, was most significantly associated with AF (minor allele odds ratio 1.80, 95\% confidence interval 1.50 to 2.15, P=1.2 x 10(-20)) in the discovery sample. Adjustment for rs2200733 genotype revealed 2 additional susceptibility signals marked by rs17570669 and rs3853445. A graded risk of AF was observed with an increasing number of AF risk alleles at SNPs that tagged these 3 susceptibility signals.

CONCLUSIONS: We identified 2 novel AF susceptibility signals on chromosome 4q25. Consideration of multiple susceptibility signals at chromosome 4q25 identifies individuals with an increased risk of AF and may localize regulatory elements at the locus with biological relevance in the pathogenesis of AF.

}, keywords = {Aged, Aged, 80 and over, Atrial Fibrillation, Chromosome Mapping, Chromosomes, Human, Pair 4, European Continental Ancestry Group, Female, Genetic Markers, Genetic Predisposition to Disease, Haplotypes, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Risk Factors}, issn = {1524-4539}, doi = {10.1161/CIRCULATIONAHA.109.886440}, author = {Lubitz, Steven A and Sinner, Moritz F and Lunetta, Kathryn L and Makino, Seiko and Pfeufer, Arne and Rahman, Rosanna and Veltman, Caroline E and Barnard, John and Bis, Joshua C and Danik, Stephan P and Sonni, Akshata and Shea, Marisa A and Del Monte, Federica and Perz, Siegfried and M{\"u}ller, Martina and Peters, Annette and Greenberg, Steven M and Furie, Karen L and van Noord, Charlotte and Boerwinkle, Eric and Stricker, Bruno H C and Witteman, Jacqueline and Smith, Jonathan D and Chung, Mina K and Heckbert, Susan R and Benjamin, Emelia J and Rosand, Jonathan and Arking, Dan E and Alonso, Alvaro and K{\"a}{\"a}b, Stefan and Ellinor, Patrick T} } @article {1150, title = {Meta-analyses of genome-wide association studies identify multiple loci associated with pulmonary function.}, journal = {Nat Genet}, volume = {42}, year = {2010}, month = {2010 Jan}, pages = {45-52}, abstract = {

Spirometric measures of lung function are heritable traits that reflect respiratory health and predict morbidity and mortality. We meta-analyzed genome-wide association studies for two clinically important lung-function measures: forced expiratory volume in the first second (FEV(1)) and its ratio to forced vital capacity (FEV(1)/FVC), an indicator of airflow obstruction. This meta-analysis included 20,890 participants of European ancestry from four CHARGE Consortium studies: Atherosclerosis Risk in Communities, Cardiovascular Health Study, Framingham Heart Study and Rotterdam Study. We identified eight loci associated with FEV(1)/FVC (HHIP, GPR126, ADAM19, AGER-PPT2, FAM13A, PTCH1, PID1 and HTR4) and one locus associated with FEV(1) (INTS12-GSTCD-NPNT) at or near genome-wide significance (P < 5 x 10(-8)) in the CHARGE Consortium dataset. Our findings may offer insights into pulmonary function and pathogenesis of chronic lung disease.

}, keywords = {Databases, Genetic, Female, Forced Expiratory Volume, Genetic Predisposition to Disease, Genome, Human, Genome-Wide Association Study, Humans, Lung, Lung Diseases, Male, Meta-Analysis as Topic, Polymorphism, Single Nucleotide, Spirometry, Vital Capacity}, issn = {1546-1718}, doi = {10.1038/ng.500}, author = {Hancock, Dana B and Eijgelsheim, Mark and Wilk, Jemma B and Gharib, Sina A and Loehr, Laura R and Marciante, Kristin D and Franceschini, Nora and van Durme, Yannick M T A and Chen, Ting-Hsu and Barr, R Graham and Schabath, Matthew B and Couper, David J and Brusselle, Guy G and Psaty, Bruce M and van Duijn, Cornelia M and Rotter, Jerome I and Uitterlinden, Andr{\'e} G and Hofman, Albert and Punjabi, Naresh M and Rivadeneira, Fernando and Morrison, Alanna C and Enright, Paul L and North, Kari E and Heckbert, Susan R and Lumley, Thomas and Stricker, Bruno H C and O{\textquoteright}Connor, George T and London, Stephanie J} } @article {6088, title = {Genome-wide joint meta-analysis of SNP and SNP-by-smoking interaction identifies novel loci for pulmonary function.}, journal = {PLoS Genet}, volume = {8}, year = {2012}, month = {2012}, pages = {e1003098}, abstract = {

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

}, keywords = {Forced Expiratory Volume, Gene Expression, Genome, Human, Genome-Wide Association Study, HLA-DQ Antigens, HLA-DQ beta-Chains, Humans, Lung, Nerve Tissue Proteins, Polymorphism, Single Nucleotide, Potassium Channels, Inwardly Rectifying, Pulmonary Disease, Chronic Obstructive, Receptors, Cell Surface, Smoking, SOX9 Transcription Factor, Vital Capacity}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1003098}, author = {Hancock, Dana B and Soler Artigas, Maria and Gharib, Sina A and Henry, Amanda and Manichaikul, Ani and Ramasamy, Adaikalavan and Loth, Daan W and Imboden, Medea and Koch, Beate and McArdle, Wendy L and Smith, Albert V and Smolonska, Joanna and Sood, Akshay and Tang, Wenbo and Wilk, Jemma B and Zhai, Guangju and Zhao, Jing Hua and Aschard, Hugues and Burkart, Kristin M and Curjuric, Ivan and Eijgelsheim, Mark and Elliott, Paul and Gu, Xiangjun and Harris, Tamara B and Janson, Christer and Homuth, Georg and Hysi, Pirro G and Liu, Jason Z and Loehr, Laura R and Lohman, Kurt and Loos, Ruth J F and Manning, Alisa K and Marciante, Kristin D and Obeidat, Ma{\textquoteright}en and Postma, Dirkje S and Aldrich, Melinda C and Brusselle, Guy G and Chen, Ting-Hsu and Eiriksdottir, Gudny and Franceschini, Nora and Heinrich, Joachim and Rotter, Jerome I and Wijmenga, Cisca and Williams, O Dale and Bentley, Amy R and Hofman, Albert and Laurie, Cathy C and Lumley, Thomas and Morrison, Alanna C and Joubert, Bonnie R and Rivadeneira, Fernando and Couper, David J and Kritchevsky, Stephen B and Liu, Yongmei and Wjst, Matthias and Wain, Louise V and Vonk, Judith M and Uitterlinden, Andr{\'e} G and Rochat, Thierry and Rich, Stephen S and Psaty, Bruce M and O{\textquoteright}Connor, George T and North, Kari E and Mirel, Daniel B and Meibohm, Bernd and Launer, Lenore J and Khaw, Kay-Tee and Hartikainen, Anna-Liisa and Hammond, Christopher J and Gl{\"a}ser, Sven and Marchini, Jonathan and Kraft, Peter and Wareham, Nicholas J and V{\"o}lzke, Henry and Stricker, Bruno H C and Spector, Timothy D and Probst-Hensch, Nicole M and Jarvis, Deborah and Jarvelin, Marjo-Riitta and Heckbert, Susan R and Gudnason, Vilmundur and Boezen, H Marike and Barr, R Graham and Cassano, Patricia A and Strachan, David P and Fornage, Myriam and Hall, Ian P and Dupuis, Jos{\'e}e and Tobin, Martin D and London, Stephanie J} } @article {5878, title = {Simple risk model predicts incidence of atrial fibrillation in a racially and geographically diverse population: the CHARGE-AF consortium.}, journal = {J Am Heart Assoc}, volume = {2}, year = {2013}, month = {2013 Mar 18}, pages = {e000102}, abstract = {

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

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

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

}, keywords = {African Americans, Age Factors, Aged, Aged, 80 and over, Atrial Fibrillation, Cohort Studies, Diabetes Mellitus, European Continental Ancestry Group, Female, Heart Failure, Humans, Hypertension, Iceland, Incidence, Male, Middle Aged, Myocardial Infarction, Netherlands, Proportional Hazards Models, Risk Assessment, Smoking, United States}, issn = {2047-9980}, doi = {10.1161/JAHA.112.000102}, author = {Alonso, Alvaro and Krijthe, Bouwe P and Aspelund, Thor and Stepas, Katherine A and Pencina, Michael J and Moser, Carlee B and Sinner, Moritz F and Sotoodehnia, Nona and Fontes, Jo{\~a}o D and Janssens, A Cecile J W and Kronmal, Richard A and Magnani, Jared W and Witteman, Jacqueline C and Chamberlain, Alanna M and Lubitz, Steven A and Schnabel, Renate B and Agarwal, Sunil K and McManus, David D and Ellinor, Patrick T and Larson, Martin G and Burke, Gregory L and Launer, Lenore J and Hofman, Albert and Levy, Daniel and Gottdiener, John S and K{\"a}{\"a}b, Stefan and Couper, David and Harris, Tamara B and Soliman, Elsayed Z and Stricker, Bruno H C and Gudnason, Vilmundur and Heckbert, Susan R and Benjamin, Emelia J} } @article {6601, title = {B-type natriuretic peptide and C-reactive protein in the prediction of atrial fibrillation risk: the CHARGE-AF Consortium of community-based cohort studies.}, journal = {Europace}, volume = {16}, year = {2014}, month = {2014 Oct}, pages = {1426-33}, abstract = {

AIMS: B-type natriuretic peptide (BNP) and C-reactive protein (CRP) predict atrial fibrillation (AF) risk. However, their risk stratification abilities in the broad community remain uncertain. We sought to improve risk stratification for AF using biomarker information.

METHODS AND RESULTS: We ascertained AF incidence in 18 556 Whites and African Americans from the Atherosclerosis Risk in Communities Study (ARIC, n=10 675), Cardiovascular Health Study (CHS, n = 5043), and Framingham Heart Study (FHS, n = 2838), followed for 5 years (prediction horizon). We added BNP (ARIC/CHS: N-terminal pro-B-type natriuretic peptide; FHS: BNP), CRP, or both to a previously reported AF risk score, and assessed model calibration and predictive ability [C-statistic, integrated discrimination improvement (IDI), and net reclassification improvement (NRI)]. We replicated models in two independent European cohorts: Age, Gene/Environment Susceptibility Reykjavik Study (AGES), n = 4467; Rotterdam Study (RS), n = 3203. B-type natriuretic peptide and CRP were significantly associated with AF incidence (n = 1186): hazard ratio per 1-SD ln-transformed biomarker 1.66 [95\% confidence interval (CI), 1.56-1.76], P < 0.0001 and 1.18 (95\% CI, 1.11-1.25), P < 0.0001, respectively. Model calibration was sufficient (BNP, χ(2) = 17.0; CRP, χ(2) = 10.5; BNP and CRP, χ(2) = 13.1). B-type natriuretic peptide improved the C-statistic from 0.765 to 0.790, yielded an IDI of 0.027 (95\% CI, 0.022-0.032), a relative IDI of 41.5\%, and a continuous NRI of 0.389 (95\% CI, 0.322-0.455). The predictive ability of CRP was limited (C-statistic increment 0.003). B-type natriuretic peptide consistently improved prediction in AGES and RS.

CONCLUSION: B-type natriuretic peptide, not CRP, substantially improved AF risk prediction beyond clinical factors in an independently replicated, heterogeneous population. B-type natriuretic peptide may serve as a benchmark to evaluate novel putative AF risk biomarkers.

}, keywords = {Aged, Atrial Fibrillation, Biomarkers, C-Reactive Protein, Europe, Female, Humans, Incidence, Male, Natriuretic Peptide, Brain, Peptide Fragments, Predictive Value of Tests, Risk Assessment, Risk Factors, United States}, issn = {1532-2092}, doi = {10.1093/europace/euu175}, author = {Sinner, Moritz F and Stepas, Katherine A and Moser, Carlee B and Krijthe, Bouwe P and Aspelund, Thor and Sotoodehnia, Nona and Fontes, Jo{\~a}o D and Janssens, A Cecile J W and Kronmal, Richard A and Magnani, Jared W and Witteman, Jacqueline C and Chamberlain, Alanna M and Lubitz, Steven A and Schnabel, Renate B and Vasan, Ramachandran S and Wang, Thomas J and Agarwal, Sunil K and McManus, David D and Franco, Oscar H and Yin, Xiaoyan and Larson, Martin G and Burke, Gregory L and Launer, Lenore J and Hofman, Albert and Levy, Daniel and Gottdiener, John S and K{\"a}{\"a}b, Stefan and Couper, David and Harris, Tamara B and Astor, Brad C and Ballantyne, Christie M and Hoogeveen, Ron C and Arai, Andrew E and Soliman, Elsayed Z and Ellinor, Patrick T and Stricker, Bruno H C and Gudnason, Vilmundur and Heckbert, Susan R and Pencina, Michael J and Benjamin, Emelia J and Alonso, Alvaro} } @article {6600, title = {Integrating genetic, transcriptional, and functional analyses to identify 5 novel genes for atrial fibrillation.}, journal = {Circulation}, volume = {130}, year = {2014}, month = {2014 Oct 7}, pages = {1225-35}, abstract = {

BACKGROUND: Atrial fibrillation (AF) affects >30 million individuals worldwide and is associated with an increased risk of stroke, heart failure, and death. AF is highly heritable, yet the genetic basis for the arrhythmia remains incompletely understood.

METHODS AND RESULTS: To identify new AF-related genes, we used a multifaceted approach, combining large-scale genotyping in 2 ethnically distinct populations, cis-eQTL (expression quantitative trait loci) mapping, and functional validation. Four novel loci were identified in individuals of European descent near the genes NEURL (rs12415501; relative risk [RR]=1.18; 95\% confidence interval [CI], 1.13-1.23; P=6.5{\texttimes}10(-16)), GJA1 (rs13216675; RR=1.10; 95\% CI, 1.06-1.14; P=2.2{\texttimes}10(-8)), TBX5 (rs10507248; RR=1.12; 95\% CI, 1.08-1.16; P=5.7{\texttimes}10(-11)), and CAND2 (rs4642101; RR=1.10; 95\% CI, 1.06-1.14; P=9.8{\texttimes}10(-9)). In Japanese, novel loci were identified near NEURL (rs6584555; RR=1.32; 95\% CI, 1.26-1.39; P=2.0{\texttimes}10(-25)) and CUX2 (rs6490029; RR=1.12; 95\% CI, 1.08-1.16; P=3.9{\texttimes}10(-9)). The top single-nucleotide polymorphisms or their proxies were identified as cis-eQTLs for the genes CAND2 (P=2.6{\texttimes}10(-19)), GJA1 (P=2.66{\texttimes}10(-6)), and TBX5 (P=1.36{\texttimes}10(-5)). Knockdown of the zebrafish orthologs of NEURL and CAND2 resulted in prolongation of the atrial action potential duration (17\% and 45\%, respectively).

CONCLUSIONS: We have identified 5 novel loci for AF. Our results expand the diversity of genetic pathways implicated in AF and provide novel molecular targets for future biological and pharmacological investigation.

}, keywords = {Aged, Animals, Atrial Fibrillation, Chromosome Mapping, Connexin 43, Europe, Female, Gene Knockdown Techniques, Genetic Loci, Genetic Predisposition to Disease, Genotype, Homeodomain Proteins, Humans, Japan, Male, Middle Aged, Muscle Proteins, Nuclear Proteins, Quantitative Trait Loci, Repressor Proteins, T-Box Domain Proteins, Transcription Factors, Ubiquitin-Protein Ligases, Zebrafish, Zebrafish Proteins}, issn = {1524-4539}, doi = {10.1161/CIRCULATIONAHA.114.009892}, author = {Sinner, Moritz F and Tucker, Nathan R and Lunetta, Kathryn L and Ozaki, Kouichi and Smith, J Gustav and Trompet, Stella and Bis, Joshua C and Lin, Honghuang and Chung, Mina K and Nielsen, Jonas B and Lubitz, Steven A and Krijthe, Bouwe P and Magnani, Jared W and Ye, Jiangchuan and Gollob, Michael H and Tsunoda, Tatsuhiko and M{\"u}ller-Nurasyid, Martina and Lichtner, Peter and Peters, Annette and Dolmatova, Elena and Kubo, Michiaki and Smith, Jonathan D and Psaty, Bruce M and Smith, Nicholas L and Jukema, J Wouter and Chasman, Daniel I and Albert, Christine M and Ebana, Yusuke and Furukawa, Tetsushi and Macfarlane, Peter W and Harris, Tamara B and Darbar, Dawood and D{\"o}rr, Marcus and Holst, Anders G and Svendsen, Jesper H and Hofman, Albert and Uitterlinden, Andr{\'e} G and Gudnason, Vilmundur and Isobe, Mitsuaki and Malik, Rainer and Dichgans, Martin and Rosand, Jonathan and Van Wagoner, David R and Benjamin, Emelia J and Milan, David J and Melander, Olle and Heckbert, Susan R and Ford, Ian and Liu, Yongmei and Barnard, John and Olesen, Morten S and Stricker, Bruno H C and Tanaka, Toshihiro and K{\"a}{\"a}b, Stefan and Ellinor, Patrick T} } @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} }