Cargando…

Potential influence of socioeconomic status on genetic correlations between alcohol consumption measures and mental health

Background. Frequency and quantity of alcohol consumption are metrics commonly used to measure alcohol consumption behaviors. Epidemiological studies indicate that these alcohol consumption measures are differentially associated with (mental) health outcomes and socioeconomic status (SES). The curre...

Descripción completa

Detalles Bibliográficos
Autores principales: Marees, Andries T., Smit, Dirk J. A., Ong, Jue-Sheng, MacGregor, Stuart, An, Jiyuan, Denys, Damiaan, Vorspan, Florence, van den Brink, Wim, Derks, Eske M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7083578/
https://www.ncbi.nlm.nih.gov/pubmed/30874500
http://dx.doi.org/10.1017/S0033291719000357
_version_ 1783508554195402752
author Marees, Andries T.
Smit, Dirk J. A.
Ong, Jue-Sheng
MacGregor, Stuart
An, Jiyuan
Denys, Damiaan
Vorspan, Florence
van den Brink, Wim
Derks, Eske M.
author_facet Marees, Andries T.
Smit, Dirk J. A.
Ong, Jue-Sheng
MacGregor, Stuart
An, Jiyuan
Denys, Damiaan
Vorspan, Florence
van den Brink, Wim
Derks, Eske M.
author_sort Marees, Andries T.
collection PubMed
description Background. Frequency and quantity of alcohol consumption are metrics commonly used to measure alcohol consumption behaviors. Epidemiological studies indicate that these alcohol consumption measures are differentially associated with (mental) health outcomes and socioeconomic status (SES). The current study aims to elucidate to what extent genetic risk factors are shared between frequency and quantity of alcohol consumption, and how these alcohol consumption measures are genetically associated with four broad phenotypic categories: (i) SES; (ii) substance use disorders; (iii) other psychiatric disorders; and (iv) psychological/personality traits. Methods. Genome-Wide Association analyses were conducted to test genetic associations with alcohol consumption frequency (N = 438 308) and alcohol consumption quantity (N = 307 098 regular alcohol drinkers) within UK Biobank. For the other phenotypes, we used genome-wide association studies summary statistics. Genetic correlations (r(g)) between the alcohol measures and other phenotypes were estimated using LD score regression. Results. We found a substantial genetic correlation between the frequency and quantity of alcohol consumption (r(g) = 0.52). Nevertheless, both measures consistently showed opposite genetic correlations with SES traits, and many substance use, psychiatric, and psychological/personality traits. High alcohol consumption frequency was genetically associated with high SES and low risk of substance use disorders and other psychiatric disorders, whereas the opposite applies for high alcohol consumption quantity. Conclusions. Although the frequency and quantity of alcohol consumption show substantial genetic overlap, they consistently show opposite patterns of genetic associations with SES-related phenotypes. Future studies should carefully consider the potential influence of SES on the shared genetic etiology between alcohol and adverse (mental) health outcomes.
format Online
Article
Text
id pubmed-7083578
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Cambridge University Press
record_format MEDLINE/PubMed
spelling pubmed-70835782020-03-25 Potential influence of socioeconomic status on genetic correlations between alcohol consumption measures and mental health Marees, Andries T. Smit, Dirk J. A. Ong, Jue-Sheng MacGregor, Stuart An, Jiyuan Denys, Damiaan Vorspan, Florence van den Brink, Wim Derks, Eske M. Psychol Med Original Articles Background. Frequency and quantity of alcohol consumption are metrics commonly used to measure alcohol consumption behaviors. Epidemiological studies indicate that these alcohol consumption measures are differentially associated with (mental) health outcomes and socioeconomic status (SES). The current study aims to elucidate to what extent genetic risk factors are shared between frequency and quantity of alcohol consumption, and how these alcohol consumption measures are genetically associated with four broad phenotypic categories: (i) SES; (ii) substance use disorders; (iii) other psychiatric disorders; and (iv) psychological/personality traits. Methods. Genome-Wide Association analyses were conducted to test genetic associations with alcohol consumption frequency (N = 438 308) and alcohol consumption quantity (N = 307 098 regular alcohol drinkers) within UK Biobank. For the other phenotypes, we used genome-wide association studies summary statistics. Genetic correlations (r(g)) between the alcohol measures and other phenotypes were estimated using LD score regression. Results. We found a substantial genetic correlation between the frequency and quantity of alcohol consumption (r(g) = 0.52). Nevertheless, both measures consistently showed opposite genetic correlations with SES traits, and many substance use, psychiatric, and psychological/personality traits. High alcohol consumption frequency was genetically associated with high SES and low risk of substance use disorders and other psychiatric disorders, whereas the opposite applies for high alcohol consumption quantity. Conclusions. Although the frequency and quantity of alcohol consumption show substantial genetic overlap, they consistently show opposite patterns of genetic associations with SES-related phenotypes. Future studies should carefully consider the potential influence of SES on the shared genetic etiology between alcohol and adverse (mental) health outcomes. Cambridge University Press 2020-02 2019-03-15 /pmc/articles/PMC7083578/ /pubmed/30874500 http://dx.doi.org/10.1017/S0033291719000357 Text en © Cambridge University Press 2019 http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Marees, Andries T.
Smit, Dirk J. A.
Ong, Jue-Sheng
MacGregor, Stuart
An, Jiyuan
Denys, Damiaan
Vorspan, Florence
van den Brink, Wim
Derks, Eske M.
Potential influence of socioeconomic status on genetic correlations between alcohol consumption measures and mental health
title Potential influence of socioeconomic status on genetic correlations between alcohol consumption measures and mental health
title_full Potential influence of socioeconomic status on genetic correlations between alcohol consumption measures and mental health
title_fullStr Potential influence of socioeconomic status on genetic correlations between alcohol consumption measures and mental health
title_full_unstemmed Potential influence of socioeconomic status on genetic correlations between alcohol consumption measures and mental health
title_short Potential influence of socioeconomic status on genetic correlations between alcohol consumption measures and mental health
title_sort potential influence of socioeconomic status on genetic correlations between alcohol consumption measures and mental health
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7083578/
https://www.ncbi.nlm.nih.gov/pubmed/30874500
http://dx.doi.org/10.1017/S0033291719000357
work_keys_str_mv AT mareesandriest potentialinfluenceofsocioeconomicstatusongeneticcorrelationsbetweenalcoholconsumptionmeasuresandmentalhealth
AT smitdirkja potentialinfluenceofsocioeconomicstatusongeneticcorrelationsbetweenalcoholconsumptionmeasuresandmentalhealth
AT ongjuesheng potentialinfluenceofsocioeconomicstatusongeneticcorrelationsbetweenalcoholconsumptionmeasuresandmentalhealth
AT macgregorstuart potentialinfluenceofsocioeconomicstatusongeneticcorrelationsbetweenalcoholconsumptionmeasuresandmentalhealth
AT anjiyuan potentialinfluenceofsocioeconomicstatusongeneticcorrelationsbetweenalcoholconsumptionmeasuresandmentalhealth
AT denysdamiaan potentialinfluenceofsocioeconomicstatusongeneticcorrelationsbetweenalcoholconsumptionmeasuresandmentalhealth
AT vorspanflorence potentialinfluenceofsocioeconomicstatusongeneticcorrelationsbetweenalcoholconsumptionmeasuresandmentalhealth
AT vandenbrinkwim potentialinfluenceofsocioeconomicstatusongeneticcorrelationsbetweenalcoholconsumptionmeasuresandmentalhealth
AT derkseskem potentialinfluenceofsocioeconomicstatusongeneticcorrelationsbetweenalcoholconsumptionmeasuresandmentalhealth