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Polygenic scores: prediction versus explanation
During the past decade, polygenic scores have become a fast-growing area of research in the behavioural sciences. The ability to directly assess people’s genetic propensities has transformed research by making it possible to add genetic predictors of traits to any study. The value of polygenic score...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8960389/ https://www.ncbi.nlm.nih.gov/pubmed/34686768 http://dx.doi.org/10.1038/s41380-021-01348-y |
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author | Plomin, Robert von Stumm, Sophie |
author_facet | Plomin, Robert von Stumm, Sophie |
author_sort | Plomin, Robert |
collection | PubMed |
description | During the past decade, polygenic scores have become a fast-growing area of research in the behavioural sciences. The ability to directly assess people’s genetic propensities has transformed research by making it possible to add genetic predictors of traits to any study. The value of polygenic scores in the behavioural sciences rests on using inherited DNA differences to predict, from birth, common disorders and complex traits in unrelated individuals in the population. This predictive power of polygenic scores does not require knowing anything about the processes that lie between genes and behaviour. It also does not mandate disentangling the extent to which the prediction is due to assortative mating, genotype–environment correlation, or even population stratification. Although bottom-up explanation from genes to brain to behaviour will remain the long-term goal of the behavioural sciences, prediction is also a worthy achievement because it has immediate practical utility for identifying individuals at risk and is the necessary first step towards explanation. A high priority for research must be to increase the predictive power of polygenic scores to be able to use them as an early warning system to prevent problems. |
format | Online Article Text |
id | pubmed-8960389 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-89603892022-04-07 Polygenic scores: prediction versus explanation Plomin, Robert von Stumm, Sophie Mol Psychiatry Perspective During the past decade, polygenic scores have become a fast-growing area of research in the behavioural sciences. The ability to directly assess people’s genetic propensities has transformed research by making it possible to add genetic predictors of traits to any study. The value of polygenic scores in the behavioural sciences rests on using inherited DNA differences to predict, from birth, common disorders and complex traits in unrelated individuals in the population. This predictive power of polygenic scores does not require knowing anything about the processes that lie between genes and behaviour. It also does not mandate disentangling the extent to which the prediction is due to assortative mating, genotype–environment correlation, or even population stratification. Although bottom-up explanation from genes to brain to behaviour will remain the long-term goal of the behavioural sciences, prediction is also a worthy achievement because it has immediate practical utility for identifying individuals at risk and is the necessary first step towards explanation. A high priority for research must be to increase the predictive power of polygenic scores to be able to use them as an early warning system to prevent problems. Nature Publishing Group UK 2021-10-22 2022 /pmc/articles/PMC8960389/ /pubmed/34686768 http://dx.doi.org/10.1038/s41380-021-01348-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Perspective Plomin, Robert von Stumm, Sophie Polygenic scores: prediction versus explanation |
title | Polygenic scores: prediction versus explanation |
title_full | Polygenic scores: prediction versus explanation |
title_fullStr | Polygenic scores: prediction versus explanation |
title_full_unstemmed | Polygenic scores: prediction versus explanation |
title_short | Polygenic scores: prediction versus explanation |
title_sort | polygenic scores: prediction versus explanation |
topic | Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8960389/ https://www.ncbi.nlm.nih.gov/pubmed/34686768 http://dx.doi.org/10.1038/s41380-021-01348-y |
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