Cargando…

Gene–Environment Correlation over Time: A Longitudinal Analysis of Polygenic Risk Scores for Schizophrenia and Major Depression in Three British Cohorts Studies

Research suggests that both genetic and environmental risk factors are involved in the aetiology of schizophrenia (SCZ) and major depressive disorder (MDD). Importantly, environmental and genetic risk factors are often related as evidenced in gene–environment correlation (rGE), which describes the o...

Descripción completa

Detalles Bibliográficos
Autores principales: Machlitt-Northen, Sandra, Keers, Robert, Munroe, Patricia B., Howard, David M., Pluess, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9320197/
https://www.ncbi.nlm.nih.gov/pubmed/35885920
http://dx.doi.org/10.3390/genes13071136
_version_ 1784755734266773504
author Machlitt-Northen, Sandra
Keers, Robert
Munroe, Patricia B.
Howard, David M.
Pluess, Michael
author_facet Machlitt-Northen, Sandra
Keers, Robert
Munroe, Patricia B.
Howard, David M.
Pluess, Michael
author_sort Machlitt-Northen, Sandra
collection PubMed
description Research suggests that both genetic and environmental risk factors are involved in the aetiology of schizophrenia (SCZ) and major depressive disorder (MDD). Importantly, environmental and genetic risk factors are often related as evidenced in gene–environment correlation (rGE), which describes the observation that genetic and environmental factors are associated with each other. It is understood that rGE gets stronger over time as individuals select their environments more actively based on their genetic propensities. However, little is known whether rGEs remain stable over time or change across different development periods. Using data from three British longitudinal cohorts, we investigated whether rGE patterns of polygenic risk scores (PRS) for SCZ and MDD changed over time across childhood and adulthood, as well as across both from birth to age 55 and whether results differed between SCZ and MDD. Overall, the majority of rGEs remained stable across the investigated development periods. Furthermore, the few detected rGE changes which did differ between SCZ and MDD, could not be explained by the confounding of clinical cases and are therefore likely the result of actual changes in environmental and cultural risk factors with genetic susceptibility to SCZ and MDD likely playing a less significant role.
format Online
Article
Text
id pubmed-9320197
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-93201972022-07-27 Gene–Environment Correlation over Time: A Longitudinal Analysis of Polygenic Risk Scores for Schizophrenia and Major Depression in Three British Cohorts Studies Machlitt-Northen, Sandra Keers, Robert Munroe, Patricia B. Howard, David M. Pluess, Michael Genes (Basel) Article Research suggests that both genetic and environmental risk factors are involved in the aetiology of schizophrenia (SCZ) and major depressive disorder (MDD). Importantly, environmental and genetic risk factors are often related as evidenced in gene–environment correlation (rGE), which describes the observation that genetic and environmental factors are associated with each other. It is understood that rGE gets stronger over time as individuals select their environments more actively based on their genetic propensities. However, little is known whether rGEs remain stable over time or change across different development periods. Using data from three British longitudinal cohorts, we investigated whether rGE patterns of polygenic risk scores (PRS) for SCZ and MDD changed over time across childhood and adulthood, as well as across both from birth to age 55 and whether results differed between SCZ and MDD. Overall, the majority of rGEs remained stable across the investigated development periods. Furthermore, the few detected rGE changes which did differ between SCZ and MDD, could not be explained by the confounding of clinical cases and are therefore likely the result of actual changes in environmental and cultural risk factors with genetic susceptibility to SCZ and MDD likely playing a less significant role. MDPI 2022-06-24 /pmc/articles/PMC9320197/ /pubmed/35885920 http://dx.doi.org/10.3390/genes13071136 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 Article
Machlitt-Northen, Sandra
Keers, Robert
Munroe, Patricia B.
Howard, David M.
Pluess, Michael
Gene–Environment Correlation over Time: A Longitudinal Analysis of Polygenic Risk Scores for Schizophrenia and Major Depression in Three British Cohorts Studies
title Gene–Environment Correlation over Time: A Longitudinal Analysis of Polygenic Risk Scores for Schizophrenia and Major Depression in Three British Cohorts Studies
title_full Gene–Environment Correlation over Time: A Longitudinal Analysis of Polygenic Risk Scores for Schizophrenia and Major Depression in Three British Cohorts Studies
title_fullStr Gene–Environment Correlation over Time: A Longitudinal Analysis of Polygenic Risk Scores for Schizophrenia and Major Depression in Three British Cohorts Studies
title_full_unstemmed Gene–Environment Correlation over Time: A Longitudinal Analysis of Polygenic Risk Scores for Schizophrenia and Major Depression in Three British Cohorts Studies
title_short Gene–Environment Correlation over Time: A Longitudinal Analysis of Polygenic Risk Scores for Schizophrenia and Major Depression in Three British Cohorts Studies
title_sort gene–environment correlation over time: a longitudinal analysis of polygenic risk scores for schizophrenia and major depression in three british cohorts studies
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9320197/
https://www.ncbi.nlm.nih.gov/pubmed/35885920
http://dx.doi.org/10.3390/genes13071136
work_keys_str_mv AT machlittnorthensandra geneenvironmentcorrelationovertimealongitudinalanalysisofpolygenicriskscoresforschizophreniaandmajordepressioninthreebritishcohortsstudies
AT keersrobert geneenvironmentcorrelationovertimealongitudinalanalysisofpolygenicriskscoresforschizophreniaandmajordepressioninthreebritishcohortsstudies
AT munroepatriciab geneenvironmentcorrelationovertimealongitudinalanalysisofpolygenicriskscoresforschizophreniaandmajordepressioninthreebritishcohortsstudies
AT howarddavidm geneenvironmentcorrelationovertimealongitudinalanalysisofpolygenicriskscoresforschizophreniaandmajordepressioninthreebritishcohortsstudies
AT pluessmichael geneenvironmentcorrelationovertimealongitudinalanalysisofpolygenicriskscoresforschizophreniaandmajordepressioninthreebritishcohortsstudies