Cargando…

Research Review: How to interpret associations between polygenic scores, environmental risks, and phenotypes

BACKGROUND: Genetic influences are ubiquitous as virtually all phenotypes and most exposures typically classified as environmental have been found to be heritable. A polygenic score summarises the associations between millions of genetic variants and an outcome in a single value for each individual....

Descripción completa

Detalles Bibliográficos
Autores principales: Pingault, Jean‐Baptiste, Allegrini, Andrea G., Odigie, Tracy, Frach, Leonard, Baldwin, Jessie R., Rijsdijk, Frühling, Dudbridge, Frank
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9790749/
https://www.ncbi.nlm.nih.gov/pubmed/35347715
http://dx.doi.org/10.1111/jcpp.13607
_version_ 1784859249329831936
author Pingault, Jean‐Baptiste
Allegrini, Andrea G.
Odigie, Tracy
Frach, Leonard
Baldwin, Jessie R.
Rijsdijk, Frühling
Dudbridge, Frank
author_facet Pingault, Jean‐Baptiste
Allegrini, Andrea G.
Odigie, Tracy
Frach, Leonard
Baldwin, Jessie R.
Rijsdijk, Frühling
Dudbridge, Frank
author_sort Pingault, Jean‐Baptiste
collection PubMed
description BACKGROUND: Genetic influences are ubiquitous as virtually all phenotypes and most exposures typically classified as environmental have been found to be heritable. A polygenic score summarises the associations between millions of genetic variants and an outcome in a single value for each individual. Ever lowering costs have enabled the genotyping of many samples relevant to child psychology and psychiatry research, including cohort studies, leading to the proliferation of polygenic score studies. It is tempting to assume that associations detected between polygenic scores and phenotypes in those studies only reflect genetic effects. However, such associations can reflect many pathways (e.g. via environmental mediation) and biases. METHODS: Here, we provide a comprehensive overview of the many reasons why associations between polygenic scores, environmental exposures, and phenotypes exist. We include formal representations of common analyses in polygenic score studies using structural equation modelling. We derive biases, provide illustrative empirical examples and, when possible, mention steps that can be taken to alleviate those biases. RESULTS: Structural equation models and derivations show the many complexities arising from jointly modelling polygenic scores with environmental exposures and phenotypes. Counter‐intuitive examples include that: (a) associations between polygenic scores and phenotypes may exist even in the absence of direct genetic effects; (b) associations between child polygenic scores and environmental exposures can exist in the absence of evocative/active gene–environment correlations; and (c) adjusting an exposure‐outcome association for a polygenic score can increase rather than decrease bias. CONCLUSIONS: Strikingly, using polygenic scores may, in some cases, lead to more bias than not using them. Appropriately conducting and interpreting polygenic score studies thus requires researchers in child psychology and psychiatry and beyond to be versed in both epidemiological and genetic methods or build on interdisciplinary collaborations.
format Online
Article
Text
id pubmed-9790749
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-97907492022-12-28 Research Review: How to interpret associations between polygenic scores, environmental risks, and phenotypes Pingault, Jean‐Baptiste Allegrini, Andrea G. Odigie, Tracy Frach, Leonard Baldwin, Jessie R. Rijsdijk, Frühling Dudbridge, Frank J Child Psychol Psychiatry Research Reviews BACKGROUND: Genetic influences are ubiquitous as virtually all phenotypes and most exposures typically classified as environmental have been found to be heritable. A polygenic score summarises the associations between millions of genetic variants and an outcome in a single value for each individual. Ever lowering costs have enabled the genotyping of many samples relevant to child psychology and psychiatry research, including cohort studies, leading to the proliferation of polygenic score studies. It is tempting to assume that associations detected between polygenic scores and phenotypes in those studies only reflect genetic effects. However, such associations can reflect many pathways (e.g. via environmental mediation) and biases. METHODS: Here, we provide a comprehensive overview of the many reasons why associations between polygenic scores, environmental exposures, and phenotypes exist. We include formal representations of common analyses in polygenic score studies using structural equation modelling. We derive biases, provide illustrative empirical examples and, when possible, mention steps that can be taken to alleviate those biases. RESULTS: Structural equation models and derivations show the many complexities arising from jointly modelling polygenic scores with environmental exposures and phenotypes. Counter‐intuitive examples include that: (a) associations between polygenic scores and phenotypes may exist even in the absence of direct genetic effects; (b) associations between child polygenic scores and environmental exposures can exist in the absence of evocative/active gene–environment correlations; and (c) adjusting an exposure‐outcome association for a polygenic score can increase rather than decrease bias. CONCLUSIONS: Strikingly, using polygenic scores may, in some cases, lead to more bias than not using them. Appropriately conducting and interpreting polygenic score studies thus requires researchers in child psychology and psychiatry and beyond to be versed in both epidemiological and genetic methods or build on interdisciplinary collaborations. John Wiley and Sons Inc. 2022-03-28 2022-10 /pmc/articles/PMC9790749/ /pubmed/35347715 http://dx.doi.org/10.1111/jcpp.13607 Text en © 2022 The Authors. Journal of Child Psychology and Psychiatry published by John Wiley & Sons Ltd on behalf of Association for Child and Adolescent Mental Health. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Reviews
Pingault, Jean‐Baptiste
Allegrini, Andrea G.
Odigie, Tracy
Frach, Leonard
Baldwin, Jessie R.
Rijsdijk, Frühling
Dudbridge, Frank
Research Review: How to interpret associations between polygenic scores, environmental risks, and phenotypes
title Research Review: How to interpret associations between polygenic scores, environmental risks, and phenotypes
title_full Research Review: How to interpret associations between polygenic scores, environmental risks, and phenotypes
title_fullStr Research Review: How to interpret associations between polygenic scores, environmental risks, and phenotypes
title_full_unstemmed Research Review: How to interpret associations between polygenic scores, environmental risks, and phenotypes
title_short Research Review: How to interpret associations between polygenic scores, environmental risks, and phenotypes
title_sort research review: how to interpret associations between polygenic scores, environmental risks, and phenotypes
topic Research Reviews
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9790749/
https://www.ncbi.nlm.nih.gov/pubmed/35347715
http://dx.doi.org/10.1111/jcpp.13607
work_keys_str_mv AT pingaultjeanbaptiste researchreviewhowtointerpretassociationsbetweenpolygenicscoresenvironmentalrisksandphenotypes
AT allegriniandreag researchreviewhowtointerpretassociationsbetweenpolygenicscoresenvironmentalrisksandphenotypes
AT odigietracy researchreviewhowtointerpretassociationsbetweenpolygenicscoresenvironmentalrisksandphenotypes
AT frachleonard researchreviewhowtointerpretassociationsbetweenpolygenicscoresenvironmentalrisksandphenotypes
AT baldwinjessier researchreviewhowtointerpretassociationsbetweenpolygenicscoresenvironmentalrisksandphenotypes
AT rijsdijkfruhling researchreviewhowtointerpretassociationsbetweenpolygenicscoresenvironmentalrisksandphenotypes
AT dudbridgefrank researchreviewhowtointerpretassociationsbetweenpolygenicscoresenvironmentalrisksandphenotypes