Key result
Among 21 previously reported SNPs from 12 QT loci, 9 of 16 SNPs with consistent direction of effect showed significant heterogeneity by race/ethnicity (P<0.05).
Meta-Analysis (n=28,942)
Yes
p-value: p=<0.05
Genetic determinants of the QT interval exhibit significant heterogeneity across different racial and ethnic groups, highlighting the critical need for diverse populations in genetic studies.
Heterogeneous QT SNP effects across ancestries warrant caution in multi-ethnic applications; challenges uniform transferability and extends diversity requirements in genetic research.
BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.
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Seyerle et al. (2014) conducted a meta-analysis in QT interval prolongation (n=28,942). 21 previously reported SNPs from 12 QT loci vs. Different racial/ethnic groups was evaluated on Heterogeneity by race/ethnicity in effect sizes of SNPs on QT interval (p=<0.05). Among 21 previously reported SNPs from 12 QT loci, 9 of 16 SNPs with consistent direction of effect showed significant heterogeneity by race/ethnicity (P<0.05).
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