Abstract
Increasing amounts of genetic data have led to the development of polygenic risk scores (PRSs) for a variety of diseases. These scores, built from the summary statistics of genome-wide association studies (GWASs), are able to stratify individuals based on their genetic risk of developing various common diseases and could potentially be used to optimize the use of screening and preventative treatments and improve personalized care for patients. Many challenges are yet to be overcome, including PRS validation, healthcare professional and patient education, and healthcare systems integration. Ethical challenges are also present in how this information is used and the current lack of diverse populations with PRSs available. In this review, we discuss the topics above and cover the nature of PRSs, visualization schemes, and how PRSs can be improved. With these tools on the horizon for multiple diseases, scientists, clinicians, health systems, regulatory bodies, and the public should discuss the uses, benefits, and potential risks of PRSs.
| Original language | English |
|---|---|
| Article number | 46 |
| Pages (from-to) | 1-18 |
| Number of pages | 18 |
| Journal | Human Genomics |
| Volume | 15 |
| Early online date | 20 Jul 2021 |
| DOIs | |
| Publication status | Published - Dec 2021 |
Bibliographical note
Funding Information:The authors would like to thank the following for their editorial contributions: Austin J. Van Asselt. This research has been conducted using the UK Biobank Resource under Application Number 40310.
Publisher Copyright:
© 2021, The Author(s).
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
Keywords
- Clinical genetics
- Genetic risk
- Polygenic risk score
- PRS
- Public health
- Risk stratification
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