Genetic Determinants of Clustering of Cardiometabolic Risk Factors in UK Biobank
Genetic Determinants of Clustering of Cardiometabolic Risk Factors in UK Biobank
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DOI：
10.1089/met.2019.0096
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发表时间：
2020-01-13
影响因子：
2.1
通讯作者：
Lind, Lars
中科院分区：
文献类型：
--
作者：
Lind, Lars
目的：代谢综合征(METS)是对同一个体心脏代谢危险因素聚集的描述。这项研究寻找与所有五种预先指定的蛋氨酸成分相关的遗传位点，以寻找这种危险因素聚集的共同病理生理学联系。方法：使用英国生物库中291,107人的数据，对综合征的五个组成部分(血糖、收缩压、甘油三酯、腰围和高密度脂蛋白胆固醇)中的每一个作为连续变量进行全基因组关联研究(GWAS)。结果：采用假发现率
Objective: The metabolic syndrome (MetS) is a description of a clustering of cardiometabolic risk factors in the same individual. This study searched for genetic loci associated with all five prespecified components of MetS to find a common pathophysiological link for this risk factor clustering. Methods: Using data from 291,107 individuals in the U.K. biobank, a genome-wide association study (GWAS) was performed versus each of the five components of the syndrome as continuous variables (glucose, systolic blood pressure, triglycerides, waist circumference, and high-density lipoprotein-cholesterol). Results: Using false discovery rate