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From Genome-Wide to Environment-Wide: Capturing the Environome
Genome-wide association (GWA) studies have shown that genetic influences on individual differences in affect, behavior, and cognition are driven by thousands of DNA variants, each with very small effect sizes. Here, we propose taking inspiration from GWA studies for understanding and modeling the in...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8785306/ https://www.ncbi.nlm.nih.gov/pubmed/33645332 http://dx.doi.org/10.1177/1745691620979803 |
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author | von Stumm, Sophie d’Apice, Katrina |
author_facet | von Stumm, Sophie d’Apice, Katrina |
author_sort | von Stumm, Sophie |
collection | PubMed |
description | Genome-wide association (GWA) studies have shown that genetic influences on individual differences in affect, behavior, and cognition are driven by thousands of DNA variants, each with very small effect sizes. Here, we propose taking inspiration from GWA studies for understanding and modeling the influence of the environment on complex phenotypes. We argue that the availability of DNA microarrays in genetic research is comparable with the advent of digital technologies in psychological science that enable collecting rich, naturalistic observations in real time of the environome, akin to the genome. These data can capture many thousand environmental elements, which we speculate each influence individual differences in affect, behavior, and cognition with very small effect sizes, akin to findings from GWA studies about DNA variants. We outline how the principles and mechanisms of genetic influences on psychological traits can be applied to improve the understanding and models of the environome. |
format | Online Article Text |
id | pubmed-8785306 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-87853062022-01-25 From Genome-Wide to Environment-Wide: Capturing the Environome von Stumm, Sophie d’Apice, Katrina Perspect Psychol Sci Article Genome-wide association (GWA) studies have shown that genetic influences on individual differences in affect, behavior, and cognition are driven by thousands of DNA variants, each with very small effect sizes. Here, we propose taking inspiration from GWA studies for understanding and modeling the influence of the environment on complex phenotypes. We argue that the availability of DNA microarrays in genetic research is comparable with the advent of digital technologies in psychological science that enable collecting rich, naturalistic observations in real time of the environome, akin to the genome. These data can capture many thousand environmental elements, which we speculate each influence individual differences in affect, behavior, and cognition with very small effect sizes, akin to findings from GWA studies about DNA variants. We outline how the principles and mechanisms of genetic influences on psychological traits can be applied to improve the understanding and models of the environome. SAGE Publications 2021-03-01 2022-01 /pmc/articles/PMC8785306/ /pubmed/33645332 http://dx.doi.org/10.1177/1745691620979803 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Article von Stumm, Sophie d’Apice, Katrina From Genome-Wide to Environment-Wide: Capturing the Environome |
title | From Genome-Wide to Environment-Wide: Capturing the Environome |
title_full | From Genome-Wide to Environment-Wide: Capturing the Environome |
title_fullStr | From Genome-Wide to Environment-Wide: Capturing the Environome |
title_full_unstemmed | From Genome-Wide to Environment-Wide: Capturing the Environome |
title_short | From Genome-Wide to Environment-Wide: Capturing the Environome |
title_sort | from genome-wide to environment-wide: capturing the environome |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8785306/ https://www.ncbi.nlm.nih.gov/pubmed/33645332 http://dx.doi.org/10.1177/1745691620979803 |
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