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Evidence of heterogeneity by race/ethnicity in genetic determinants of QT interval.

TitleEvidence of heterogeneity by race/ethnicity in genetic determinants of QT interval.
Publication TypeJournal Article
Year of Publication2014
AuthorsSeyerle, AA, Young, AM, Jeff, JM, Melton, PE, Jorgensen, NW, Lin, Y, Carty, CL, Deelman, E, Heckbert, SR, Hindorff, LA, Jackson, RD, Martin, LW, Okin, PM, Perez, MV, Psaty, BM, Soliman, EZ, Whitsel, EA, North, KE, Laston, S, Kooperberg, C, Avery, CL
JournalEpidemiology
Volume25
Issue6
Pagination790-8
Date Published2014 Nov
ISSN1531-5487
KeywordsAged, Continental Population Groups, Electrocardiography, Female, Genetic Predisposition to Disease, Haplotypes, Humans, Long QT Syndrome, Male, Middle Aged, Phenotype, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Quantitative Trait, Heritable, Risk Factors
Abstract<p><b>BACKGROUND: </b>QT interval (QT) prolongation is an established risk factor for ventricular tachyarrhythmia and sudden cardiac death. Previous genome-wide association studies in populations of the European descent have identified multiple genetic loci that influence QT, but few have examined these loci in ethnically diverse populations.</p><p><b>METHODS: </b>Here, we examine the direction, magnitude, and precision of effect sizes for 21 previously reported SNPs from 12 QT loci, in populations of European (n = 16,398), African (n = 5,437), American Indian (n = 5,032), Hispanic (n = 1,143), and Asian (n = 932) descent as part of the Population Architecture using Genomics and Epidemiology (PAGE) study. Estimates obtained from linear regression models stratified by race/ethnicity were combined using inverse-variance weighted meta-analysis. Heterogeneity was evaluated using Cochran's Q test.</p><p><b>RESULTS: </b>Of 21 SNPs, 7 showed consistent direction of effect across all 5 populations, and an additional 9 had estimated effects that were consistent across 4 populations. Despite consistent direction of effect, 9 of 16 SNPs had evidence (P < 0.05) of heterogeneity by race/ethnicity. For these 9 SNPs, linkage disequilibrium plots often indicated substantial variation in linkage disequilibrium patterns among the various racial/ethnic groups, as well as possible allelic heterogeneity.</p><p><b>CONCLUSIONS: </b>These results emphasize the importance of analyzing racial/ethnic groups separately in genetic studies. Furthermore, they underscore the possible utility of trans-ethnic studies to pinpoint underlying casual variants influencing heritable traits such as QT.</p>
DOI10.1097/EDE.0000000000000168
Alternate JournalEpidemiology
PubMed ID25166880
PubMed Central IDPMC4380285
Grant ListN01HC55020 / HL / NHLBI NIH HHS / United States
N01 WH042122 / WH / WHI NIH HHS / United States
UL1 RR033176 / RR / NCRR NIH HHS / United States
R00 HL098458 / HL / NHLBI NIH HHS / United States
N01WH32100 / WH / WHI NIH HHS / United States
32105-6 / / PHS HHS / United States
UL1RR033176 / RR / NCRR NIH HHS / United States
N01 WH32115 / WH / WHI NIH HHS / United States
UL1TR000124 / TR / NCATS NIH HHS / United States
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N01HV48195 / HL / NHLBI NIH HHS / United States
N01WH44221 / WH / WHI NIH HHS / United States
N01-HV-48195 / HV / NHLBI NIH HHS / United States
N01HC55018 / HL / NHLBI NIH HHS / United States
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R01 HL080295 / HL / NHLBI NIH HHS / United States
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HHSN268200800007C / / PHS HHS / United States
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DK063491 / DK / NIDDK NIH HHS / United States
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HHSN268201200036C / / PHS HHS / United States
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HL080295 / HL / NHLBI NIH HHS / United States
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32122 / / PHS HHS / United States
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R01 AG023629 / AG / NIA NIH HHS / United States
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44221 / / PHS HHS / United States
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32111-13 / / PHS HHS / United States
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