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Dataset Information

Identification of genetic variants related to metabolic syndrome by next-generation sequencing.


ABSTRACT:

Background

Metabolic syndrome (MetS) is a cluster of conditions associated with glucose intolerance, hypertension, abdominal obesity, dyslipidemia, and insulin resistance that increase the risk of cardiovascular diseases (CVD) and type 2 diabetes (T2D). Since MetS is known as a complex symptom with a high incidence of genetic factors, it is important to identify genetic variants for each clinical characteristic of MetS.

Methods

We performed targeted next-generation sequencing (NGS) to identify genetic variants related to obesity, blood glucose, triacylglycerol (TG), and high-density lipoprotein (HDL)-cholesterol level, and hypertension in 48 subjects with MetS and in 48 healthy subjects.

Results

NGS analysis revealed that 26 of 48 subjects (54.2%) with MetS had putati

SUBMITTER: Lee S 

PROVIDER: S-EPMC9396768 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature