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Post‐GWAS Polygenic Risk Score: Utility and Challenges

Over the past decade, through genome‐wide association studies, more than 300 genetic variants have been identified to be associated with either BMD or fracture risk. These genetic variants are common in the general population, but they exert small to modest effects on BMD, suggesting that the utilit...

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Detalles Bibliográficos
Autores principales: Nguyen, Tuan V, Eisman, John A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7657393/
https://www.ncbi.nlm.nih.gov/pubmed/33210063
http://dx.doi.org/10.1002/jbm4.10411
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author Nguyen, Tuan V
Eisman, John A
author_facet Nguyen, Tuan V
Eisman, John A
author_sort Nguyen, Tuan V
collection PubMed
description Over the past decade, through genome‐wide association studies, more than 300 genetic variants have been identified to be associated with either BMD or fracture risk. These genetic variants are common in the general population, but they exert small to modest effects on BMD, suggesting that the utility of any single variant is limited. However, a combination of effect sizes from multiple variants in the form of the polygenic risk score (PRS) can provide a useful indicator of fracture risk beyond that obtained by conventional clinical risk factors. In this perspective, we review the progress of genetics of osteoporosis and approaches for creating PRSs, their uses, and caveats. Recent studies support the idea that the PRS, when integrated into existing fracture prediction models, can help clinicians and patients alike to better assess the fracture risk for an individual, and raise the possibility of precision risk assessment. © 2020 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research.
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spelling pubmed-76573932020-11-17 Post‐GWAS Polygenic Risk Score: Utility and Challenges Nguyen, Tuan V Eisman, John A JBMR Plus Perspective Over the past decade, through genome‐wide association studies, more than 300 genetic variants have been identified to be associated with either BMD or fracture risk. These genetic variants are common in the general population, but they exert small to modest effects on BMD, suggesting that the utility of any single variant is limited. However, a combination of effect sizes from multiple variants in the form of the polygenic risk score (PRS) can provide a useful indicator of fracture risk beyond that obtained by conventional clinical risk factors. In this perspective, we review the progress of genetics of osteoporosis and approaches for creating PRSs, their uses, and caveats. Recent studies support the idea that the PRS, when integrated into existing fracture prediction models, can help clinicians and patients alike to better assess the fracture risk for an individual, and raise the possibility of precision risk assessment. © 2020 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research. John Wiley & Sons, Inc. 2020-09-19 /pmc/articles/PMC7657393/ /pubmed/33210063 http://dx.doi.org/10.1002/jbm4.10411 Text en © 2020 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Perspective
Nguyen, Tuan V
Eisman, John A
Post‐GWAS Polygenic Risk Score: Utility and Challenges
title Post‐GWAS Polygenic Risk Score: Utility and Challenges
title_full Post‐GWAS Polygenic Risk Score: Utility and Challenges
title_fullStr Post‐GWAS Polygenic Risk Score: Utility and Challenges
title_full_unstemmed Post‐GWAS Polygenic Risk Score: Utility and Challenges
title_short Post‐GWAS Polygenic Risk Score: Utility and Challenges
title_sort post‐gwas polygenic risk score: utility and challenges
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7657393/
https://www.ncbi.nlm.nih.gov/pubmed/33210063
http://dx.doi.org/10.1002/jbm4.10411
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