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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...

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Detalles Bibliográficos
Autores principales: von Stumm, Sophie, d’Apice, Katrina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
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
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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.
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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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