Blood pressure phenotype, lipid fractions and type 2 diabetes: a trans-ethnic mendelian randomization study
10.3760/cma.j.cn311282-20220726-00450
- VernacularTitle:血压表型、脂质成分与2型糖尿病的跨种族孟德尔随机化研究
- Author:
Sijia WU
1
;
Hongkai LI
;
Fuzhong XUE
;
Yunxia LIU
Author Information
1. 山东大学齐鲁医学院公共卫生学院生物统计学系，山东大学健康医疗大数据研究院，济南 250012
- Keywords:
Trans-ethnic;
Mendelian randomization;
Diabetes mellitus, type 2;
Blood pressure phenotype;
Lipid fractions
- From:
Chinese Journal of Endocrinology and Metabolism
2023;39(1):19-25
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the causal associations of two blood pressure phenotype and four lipid fractions with type 2 diabetes mellitus(T2DM) in European and East Asian populations using Two-Sample Mendelian randomization analysis.Methods:Blood pressure phenotype, lipid fractions and T2DM genetic loci from two ethnics were matched and combined according to single nucleotide polymorphisms(SNPs) numbering. With SNPs closely related to the exposure phenotype as instrumental variables, the inverse variance weighting method was used to analyze the causal effects of blood pressure phenotype and lipid fractions on T2DM in different ethnic groups. The sensitivity analysis was conducted using MR-Egger regression model, Weighted Median method, MR-PRESSO, MR-robust Adjusted Profile Score, and leave-one-out method.Results:Among European populations, systolic blood pressure( OR=1.40, 95% CI 1.23-1.59, P<0.001) and diastolic blood pressure( OR =1.24, 95% CI 1.08-1.42, P=0.002)were associated with increased risk of T2DM while high density lipoprotein-cholesterol( OR=0.68, 95% CI 0.62-0.76, P<0.001) reduced the risk of T2DM. In East Asian ethnicity, elevated diastolic blood pressure( OR=0.75, 95% CI 0.59-0.95, P=0.007) reduced the risk of T2DM. Sensitivity analysis confirmed the results. Conclusion:There are differences in the effects of blood pressure phenotype and lipid composition on T2DM in different ethnic groups, which may be related to population heterogeneity and exposure sensitivity. It should be taken into consideration in extrapolation.
