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

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...

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Bibliographic Details
Main Authors: Tianyuan Lu, Vincenzo Forgetta, Julyan Keller-Baruch, Maria Nethander, Derrick Bennett, Marie Forest, Sahir Bhatnagar, Robin G. Walters, Kuang Lin, Zhengming Chen, Liming Li, Magnus Karlsson, Dan Mellström, Eric Orwoll, Eugene V. McCloskey, John A. Kanis, William D. Leslie, Robert J. Clarke, Claes Ohlsson, Celia M. T. Greenwood, J. Brent Richards
Format: Article
Language:English
Published: BMC 2021-02-01
Series:Genome Medicine
Online Access:https://doi.org/10.1186/s13073-021-00838-6

Internet

https://doi.org/10.1186/s13073-021-00838-6

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