Dissecting the clinical relevance of polygenic risk score for obesity-a cross-sectional, longitudinal analysis.

ABSTRACT:

Background

Obesity is a global pandemic disease whose prevalence is increasing worldwide. The clinical relevance of a polygenic risk score (PRS) for obesity has not been fully elucidated in Asian populations.

Method

We utilized a comprehensive health check-up database from the Korean population in conjunction with genotyping to generate PRS for BMI (PRS-BMI). We conducted a phenome-wide association (PheWAS) analysis and observed the longitudinal association of BMI with PRS-BMI.

Results

PRS-BMI was generated by PRS-CS. Adding PRS-BMI to a model predicting ten-year BMI based on age, sex, and baseline BMI improved the model's accuracy (p = 0.003). In a linear mixed model of longitudinal change in BMI with aging, higher deciles of PRS were directly associated with changes

SUBMITTER: Choe EK 

PROVIDER: S-EPMC10362905 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature