Improved genetic prediction of the risk of knee osteoarthritis using the risk factor-based polygenic score.

ABSTRACT:

Background

Polygenic risk score (PRS) analysis is used to predict disease risk. Although PRS has been shown to have great potential in improving clinical care, PRS accuracy assessment has been mainly focused on European ancestry. This study aimed to develop an accurate genetic risk score for knee osteoarthritis (OA) using a multi-population PRS and leveraging a multi-trait PRS in the Japanese population.

Methods

We calculated PRS using PRS-CS-auto, derived from genome-wide association study (GWAS) summary statistics for knee OA in the Japanese population (same ancestry) and multi-population. We further identified risk factor traits for which PRS could predict knee OA and subsequently developed an integrated PRS based on multi-trait analysis of GWAS (MTAG), including genetica

SUBMITTER: Morita Y 

PROVIDER: S-EPMC10258963 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature