The African Computational genomics (TACG) Research group, Medical Research Council/Uganda Virus Research Institute (MRC/UVRI) and London School of Hygiene and Tropical Medicine (LSHTM), Entebbe, Uganda (S.F., T.S., B.U., C.E., M.N., O.S.).
Department of Non-communicable Disease Epidemiology (NCDE), London School of Hygiene and Tropical Medicine London, United Kingdom (S.F.).
Stroke. 2021 Aug;52(8):2680-2684. doi: 10.1161/STROKEAHA.121.034747. Epub 2021 Jun 3.
Metabolic traits affect ischemic stroke (IS) risk, but the degree to which this varies across different ethnic ancestries is not known. Our aim was to apply Mendelian randomization to investigate the causal effects of type 2 diabetes (T2D) liability and lipid traits on IS risk in African ancestry individuals, and to compare them to estimates obtained in European ancestry individuals.
For African ancestry individuals, genetic proxies for T2D liability and circulating lipids were obtained from a meta-analysis of the African Partnership for Chronic Disease Research study, the UK Biobank, and the Million Veteran Program (total N=77 061). Genetic association estimates for IS risk were obtained from the Consortium of Minority Population Genome-Wide Association Studies of Stroke (3734 cases and 18 317 controls). For European ancestry individuals, genetic proxies for the same metabolic traits were obtained from Million Veteran Program (lipids N=297 626, T2D N=148 726 cases, and 965 732 controls), and genetic association estimates for IS risk were obtained from the MEGASTROKE study (34 217 cases and 406 111 controls). Random-effects inverse-variance weighted Mendelian randomization was used as the main method, complemented with sensitivity analyses more robust to pleiotropy.
Higher genetically proxied T2D liability, LDL-C (low-density lipoprotein cholesterol), total cholesterol and lower genetically proxied HDL-C (high-density lipoprotein cholesterol) were associated with increased risk of IS in African ancestry individuals (odds ratio per doubling the odds of T2D liability [95% CI], 1.09 [1.07-1.11]; per standard-deviation increase in LDL-C, 1.12 [1.04-1.21]; total cholesterol: 1.23 [1.06-1.43]; HDL-C, 0.93 [0.89-0.99]). There was no evidence for differences in these estimates when performing analyses in European ancestry individuals.
Our analyses support a causal effect of T2D liability and lipid traits on IS risk in African ancestry individuals, with Mendelian randomization estimates similar to those obtained in European ancestry individuals.
代谢特征会影响缺血性中风(IS)的风险,但不同种族背景下的影响程度尚不清楚。我们的目的是应用孟德尔随机化方法,研究 2 型糖尿病(T2D)易感性和血脂特征对非裔个体 IS 风险的因果效应,并将其与在欧洲裔个体中获得的估计值进行比较。
对于非裔个体,T2D 易感性和循环血脂的遗传标志物来自非洲慢性病研究伙伴关系研究、英国生物库和百万退伍军人计划的荟萃分析(总计 N=77061)。IS 风险的遗传关联估计值来自少数族裔人群中风全基因组关联研究联盟(3734 例病例和 18317 例对照)。对于欧洲裔个体,相同代谢特征的遗传标志物来自百万退伍军人计划(脂质 N=297626,T2D N=148726 例病例和 965732 例对照),IS 风险的遗传关联估计值来自 MEGASTROKE 研究(34217 例病例和 406111 例对照)。使用随机效应逆方差加权孟德尔随机化作为主要方法,并辅以对多效性更稳健的敏感性分析。
更高的遗传预测 T2D 易感性、LDL-C(低密度脂蛋白胆固醇)、总胆固醇和更低的遗传预测 HDL-C(高密度脂蛋白胆固醇)与非裔个体 IS 风险增加相关(T2D 易感性每增加一倍的比值比[95%CI],1.09[1.07-1.11];LDL-C 每标准偏差增加,1.12[1.04-1.21];总胆固醇:1.23[1.06-1.43];HDL-C,0.93[0.89-0.99])。在对欧洲裔个体进行分析时,这些估计值没有差异的证据。
我们的分析支持 T2D 易感性和血脂特征对非裔个体 IS 风险的因果效应,孟德尔随机化估计值与在欧洲裔个体中获得的估计值相似。