Improved prediction of fracture risk leveraging a genome-wide polygenic risk score.

ABSTRACT:

Background

Accurately quantifying the risk of osteoporotic fracture is important for directing appropriate clinical interventions. While skeletal measures such as heel quantitative speed of sound (SOS) and dual-energy X-ray absorptiometry bone mineral density are able to predict the risk of osteoporotic fracture, the utility of such measurements is subject to the availability of equipment and human resources. Using data from 341,449 individuals of white British ancestry, we previously developed a genome-wide polygenic risk score (PRS), called gSOS, that captured 25.0% of the total variance in SOS. Here, we test whether gSOS can improve fracture risk prediction.

Methods

We examined the predictive power of gSOS in five genome-wide genotyped cohorts, including 90,172 individual

SUBMITTER: Lu T 

PROVIDER: S-EPMC7860212 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature