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The False Dawn of Polygenic Risk Scores for Human Disease Prediction

Polygenic risk scores (PRSs) are being constructed for many diseases and are presented today as a promising avenue in the field of human genetics. These scores aim at predicting the risk of developing a disease by leveraging the many genome-wide association studies (GWAS) conducted during the two la...

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Autores principales: Herzig, Anthony F., Clerget-Darpoux, Françoise, Génin, Emmanuelle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9409868/
https://www.ncbi.nlm.nih.gov/pubmed/36013215
http://dx.doi.org/10.3390/jpm12081266
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author Herzig, Anthony F.
Clerget-Darpoux, Françoise
Génin, Emmanuelle
author_facet Herzig, Anthony F.
Clerget-Darpoux, Françoise
Génin, Emmanuelle
author_sort Herzig, Anthony F.
collection PubMed
description Polygenic risk scores (PRSs) are being constructed for many diseases and are presented today as a promising avenue in the field of human genetics. These scores aim at predicting the risk of developing a disease by leveraging the many genome-wide association studies (GWAS) conducted during the two last decades. Important investments are being made to improve score estimates by increasing GWAS sample sizes, by developing more sophisticated methods, and by proposing different corrections for potential biases. PRSs have entered the market with direct-to-consumer companies proposing to compute them from saliva samples and even recently to help parents select the healthiest embryos. In this paper, we recall how PRSs arose and question the credit they are given by revisiting underlying assumptions in light of the history of human genetics and by comparing them with estimated breeding values (EBVs) used for selection in livestock.
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spelling pubmed-94098682022-08-26 The False Dawn of Polygenic Risk Scores for Human Disease Prediction Herzig, Anthony F. Clerget-Darpoux, Françoise Génin, Emmanuelle J Pers Med Commentary Polygenic risk scores (PRSs) are being constructed for many diseases and are presented today as a promising avenue in the field of human genetics. These scores aim at predicting the risk of developing a disease by leveraging the many genome-wide association studies (GWAS) conducted during the two last decades. Important investments are being made to improve score estimates by increasing GWAS sample sizes, by developing more sophisticated methods, and by proposing different corrections for potential biases. PRSs have entered the market with direct-to-consumer companies proposing to compute them from saliva samples and even recently to help parents select the healthiest embryos. In this paper, we recall how PRSs arose and question the credit they are given by revisiting underlying assumptions in light of the history of human genetics and by comparing them with estimated breeding values (EBVs) used for selection in livestock. MDPI 2022-07-31 /pmc/articles/PMC9409868/ /pubmed/36013215 http://dx.doi.org/10.3390/jpm12081266 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Commentary
Herzig, Anthony F.
Clerget-Darpoux, Françoise
Génin, Emmanuelle
The False Dawn of Polygenic Risk Scores for Human Disease Prediction
title The False Dawn of Polygenic Risk Scores for Human Disease Prediction
title_full The False Dawn of Polygenic Risk Scores for Human Disease Prediction
title_fullStr The False Dawn of Polygenic Risk Scores for Human Disease Prediction
title_full_unstemmed The False Dawn of Polygenic Risk Scores for Human Disease Prediction
title_short The False Dawn of Polygenic Risk Scores for Human Disease Prediction
title_sort false dawn of polygenic risk scores for human disease prediction
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9409868/
https://www.ncbi.nlm.nih.gov/pubmed/36013215
http://dx.doi.org/10.3390/jpm12081266
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