Unknown

Dataset Information

Development of a Polygenic Risk Score for BMI to Assess the Genetic Susceptibility to Obesity and Related Diseases in the Korean Population.


ABSTRACT: Hundreds of genetic variants for body mass index (BMI) have been identified from numerous genome-wide association studies (GWAS) in different ethnicities. In this study, we aimed to develop a polygenic risk score (PRS) for BMI for predicting susceptibility to obesity and related traits in the Korean population. For this purpose, we obtained base data resulting from a GWAS on BMI using 57,110 HEXA study subjects from the Korean Genome and Epidemiology Study (KoGES). Subsequently, we calculated PRSs in 13,504 target subjects from the KARE and CAVAS studies of KoGES using the PRSice-2 software. The best-fit PRS for BMI (PRSBMI) comprising 53,341 SNPs was selected at a p-value threshold of 0.064, at which the model fit had the greatest R2 score. The PRS

SUBMITTER: Yoon N 

PROVIDER: S-EPMC10380444 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature