Genome-wide association analysis of metabolic syndrome quantitative traits in the GENNID multiethnic family study.

ABSTRACT:

Background

To identify genetic associations of quantitative metabolic syndrome (MetS) traits and characterize heterogeneity across ethnic groups.

Methods

Data was collected from GENetics of Noninsulin dependent Diabetes Mellitus (GENNID), a multiethnic resource of Type 2 diabetic families and included 1520 subjects in 259 African-American, European-American, Japanese-Americans, and Mexican-American families. We focused on eight MetS traits: weight, waist circumference, systolic and diastolic blood pressure, high-density lipoprotein, triglycerides, fasting glucose, and insulin. Using genotyped and imputed data from Illumina's Multiethnic array, we conducted genome-wide association analyses with linear mixed models for all ethnicities, except for the smaller Japanese-American

SUBMITTER: Wan JY 

PROVIDER: S-EPMC8170963 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature