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...
Autores principales: | , , , , , , , , |
---|---|
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 |