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Generalized estimating equations for genome-wide association studies using longitudinal phenotype data.

TitleGeneralized estimating equations for genome-wide association studies using longitudinal phenotype data.
Publication TypeJournal Article
Year of Publication2015
AuthorsSitlani CM, Rice KM, Lumley T, McKnight B, L Cupples A, Avery CL, Noordam R, Stricker BHC, Whitsel EA
Secondary AuthorsPsaty BM
JournalStat Med
Volume34
Issue1
Pagination118-30
Date Published2015 Jan 15
ISSN1097-0258
KeywordsAged, 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
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.

DOI10.1002/sim.6323
Alternate JournalStat Med
PubMed ID25297442
PubMed Central IDPMC4321952
Grant ListHHSN268201100012C / HL / NHLBI NIH HHS / United States
UL1RR025005 / RR / NCRR NIH HHS / United States
UL1 RR033176 / RR / NCRR NIH HHS / United States
R01 HL103612 / HL / NHLBI NIH HHS / United States
UL1RR033176 / RR / NCRR NIH HHS / United States
UL1TR000124 / TR / NCATS NIH HHS / United States
R01HL59367 / HL / NHLBI NIH HHS / United States
HHSN268201100010C / HL / NHLBI NIH HHS / United States
UL1 RR025005 / RR / NCRR NIH HHS / United States
HHSN268201100008C / HL / NHLBI NIH HHS / United States
U01 HL080295 / HL / NHLBI NIH HHS / United States
UL1 TR001079 / TR / NCATS NIH HHS / United States
HHSN268201100005G / HL / NHLBI NIH HHS / United States
HHSN268201100008I / HL / NHLBI NIH HHS / United States
HHSN268201100005C / / PHS HHS / United States
R01 HL059367 / HL / NHLBI NIH HHS / United States
HHSN268201100007C / HL / NHLBI NIH HHS / United States
HL105756 / HL / NHLBI NIH HHS / United States
HHSN268200800007C / HL / NHLBI NIH HHS / United States
HHSN268201100009C / / PHS HHS / United States
HHSN268201100011I / HL / NHLBI NIH HHS / United States
HHSN268201100011C / HL / NHLBI NIH HHS / United States
R01 HL086694 / HL / NHLBI NIH HHS / United States
R01 HL087652 / HL / NHLBI NIH HHS / United States
HHSN268200625226C / / PHS HHS / United States
U01 HG004402 / HG / NHGRI NIH HHS / United States
UL1 TR000124 / TR / NCATS NIH HHS / United States
N01HC55222 / HL / NHLBI NIH HHS / United States
HHSN268201100010C / / PHS HHS / United States
N01HC85086 / HL / NHLBI NIH HHS / United States
R01 HL105756 / HL / NHLBI NIH HHS / United States
P30 DK063491 / DK / NIDDK NIH HHS / United States
HHSN268201100006C / HL / NHLBI NIH HHS / United States
HHSN268201200036C / HL / NHLBI NIH HHS / United States
HHSN268201100008C / / PHS HHS / United States
HHSN268201100012C / / PHS HHS / United States
HL086752 / HL / NHLBI NIH HHS / United States
R01HL087641 / HL / NHLBI NIH HHS / United States
HHSN268201100005I / HL / NHLBI NIH HHS / United States
R01 HL080295 / HL / NHLBI NIH HHS / United States
HHSN268201100007C / / PHS HHS / United States
HHSN268200800007C / / PHS HHS / United States
N01HC85082 / HL / NHLBI NIH HHS / United States
HHSN268201100009C / HL / NHLBI NIH HHS / United States
HHSN268201100011C / / PHS HHS / United States
N01HC85083 / HL / NHLBI NIH HHS / United States
HHSN268201100005C / HL / NHLBI NIH HHS / United States
DK063491 / DK / NIDDK NIH HHS / United States
HHSN268201100007I / HL / NHLBI NIH HHS / United States
HHSN268201200036C / / PHS HHS / United States
HL080295 / HL / NHLBI NIH HHS / United States
N01HC85079 / HL / NHLBI NIH HHS / United States
HHSN268201100006C / / PHS HHS / United States
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R01 HL087641 / HL / NHLBI NIH HHS / United States
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