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Dataset Information

Identification of Genetic Variants for Female Obesity and Evaluation of the Causal Role of Genetically Defined Obesity in Polycystic Ovarian Syndrome.


ABSTRACT:

Purpose

Observational studies have demonstrated an increased risk of polycystic ovarian syndrome (PCOS) in obese women. This study aimed to identify genetic variants influencing obesity in females and to evaluate the causal association between genetically defined obesity and PCOS in Korean women.

Methods

Two-stage GWAS was conducted to identify genetic variants influencing obesity traits (such as body mass index [BMI], waist-hip ratio [WHR], and waist circumference [WC]) in Korean women. Two-sample Mendelian randomization (MR) analysis was employed to evaluate the causal effect of variants as genetic instruments for female obesity on PCOS.

Results

Meta-analysis of 9953 females combining discovery (N = 4658) and replication (N = 5295) stages detected four (rs11162584,

SUBMITTER: Ahn Y 

PROVIDER: S-EPMC7670174 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature