Seyerle Amanda A, Young Alicia M, Jeff Janina M, Melton Phillip E, Jorgensen Neal W, Lin Yi, Carty Cara L, Deelman Ewa, Heckbert Susan R, Hindorff Lucia A, Jackson Rebecca D, Martin Lisa W, Okin Peter M, Perez Marco V, Psaty Bruce M, Soliman Elsayed Z, Whitsel Eric A, North Kari E, Laston Sandra, Kooperberg Charles, Avery Christy L
From the aDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC; bDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA; cCharles Bronfman Institute of Personalized Medicine, Mount Sinai School of Medicine, New York, NY; dCentre for Genetic Origins of Health and Disease, University of Western Australia, Crawley, Australia; eDepartment of Biostatistics, University of Washington, Seattle, WA; fInformation Sciences Institute and Computer Science Department, University of Southern California, Marina Del Rey, CA; gDepartment of Epidemiology, University of Washington, Seattle, WA; hCardiovascular Health Research Unit, University of Washington, Seattle, WA; iGroup Health Research Institute, Group Health Cooperative, Seattle, WA; jOffice of Population Genomics, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD; kDepartment of Internal Medicine, Ohio State Medical Center, Columbus, OH; lDivision of Cardiology, George Washington University, Washington, DC; mDepartment of Medicine, Weill Cornell Medical College, New York, NY; nDivision of Cardiovascular Medicine, Stanford University, Stanford, CA; oDivision of Medicine, University of Washington, Seattle, WA; pDivision of Health Services, University of Washington, Seattle, WA; qEpidemiological Cardiology Research Center (EPICARE), Wake Forest School of Medicine, Winston-Salem, NC; rDepartment of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC; and sDepartment of Genetics, Texas Biomedical Research Institute, San Antonio, TX.
Epidemiology. 2014 Nov;25(6):790-8. doi: 10.1097/EDE.0000000000000168.
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.
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.
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.
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.
QT间期延长是室性快速心律失常和心源性猝死的既定危险因素。先前在欧洲血统人群中进行的全基因组关联研究已经确定了多个影响QT的基因位点,但很少在种族多样化的人群中研究这些位点。
在此,作为基因组学和流行病学群体结构研究(PAGE)的一部分,我们在欧洲(n = 16,398)、非洲(n = 5,437)、美洲印第安(n = 5,032)、西班牙裔(n = 1,143)和亚洲(n = 932)血统的人群中,研究了来自12个QT基因位点的21个先前报道的单核苷酸多态性(SNP)的效应大小的方向、大小和精确度。通过种族/族裔分层的线性回归模型获得的估计值使用逆方差加权荟萃分析进行合并。使用 Cochr an Q检验评估异质性。
在21个SNP中,7个在所有5个人群中显示出一致的效应方向,另外9个的估计效应在4个人群中一致。尽管效应方向一致,但16个SNP中有9个有证据(P < 0.05)表明存在种族/族裔异质性。对于这9个SNP,连锁不平衡图通常表明不同种族/族裔群体之间的连锁不平衡模式存在很大差异,以及可能的等位基因异质性。
这些结果强调了在基因研究中分别分析种族/族裔群体的重要性。此外,它们强调了跨种族研究在确定影响QT等遗传性状的潜在因果变异方面的可能效用。