Unknown

Dataset Information

Association and function analysis of genetic variants and the risk of gestational diabetes mellitus in a southern Chinese population.


ABSTRACT:

Background

Gestational diabetes mellitus (GDM) is a complex metabolic disease that has short-term and long-term adverse effects on mothers and infants. However, the specific pathogenic mechanism has not been elucidated.

Objective

The aim of this study was to confirm the associations between candidate genetic variants (rs4134819, rs720918, rs2034410, rs11109509, and rs12524768) and GDM risk and prediction in a southern Chinese population.

Methods

Candidate variants were genotyped in 538 GDM cases and 626 healthy controls. The odds ratio (OR) and its corresponding 95% confidence interval (CI) were calculated to assess the associations between genotypes and GDM risk. Then, the false-positive report probability (FPRP) analysis was adopted to confirm the significant associ

SUBMITTER: Liang Q 

PROVIDER: S-EPMC11703716 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature