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Parsing genetically influenced risk pathways: genetic loci impact problematic alcohol use via externalizing and specific risk
Genome-wide association studies (GWAS) identify genetic variants associated with a trait, regardless of how those variants are associated with the outcome. Characterizing whether variants for psychiatric outcomes operate via specific versus general pathways provides more informative measures of gene...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9525649/ https://www.ncbi.nlm.nih.gov/pubmed/36180423 http://dx.doi.org/10.1038/s41398-022-02171-x |
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author | Barr, Peter B. Mallard, Travis T. Sanchez-Roige, Sandra Poore, Holly E. Linnér, Richard Karlsson Waldman, Irwin D. Palmer, Abraham A. Harden, K. Paige Dick, Danielle M. |
author_facet | Barr, Peter B. Mallard, Travis T. Sanchez-Roige, Sandra Poore, Holly E. Linnér, Richard Karlsson Waldman, Irwin D. Palmer, Abraham A. Harden, K. Paige Dick, Danielle M. |
author_sort | Barr, Peter B. |
collection | PubMed |
description | Genome-wide association studies (GWAS) identify genetic variants associated with a trait, regardless of how those variants are associated with the outcome. Characterizing whether variants for psychiatric outcomes operate via specific versus general pathways provides more informative measures of genetic risk. In the current analysis, we used multivariate GWAS to tease apart variants associated with problematic alcohol use (ALCP-total) through either a shared risk for externalizing (EXT) or a problematic alcohol use-specific risk (ALCP-specific). SNPs associated with ALCP-specific were primarily related to alcohol metabolism. Genetic correlations showed ALCP-specific was predominantly associated with alcohol use and other forms of psychopathology, but not other forms of substance use. Polygenic scores for ALCP-total were associated with multiple forms of substance use, but polygenic scores for ALCP-specific were only associated with alcohol phenotypes. Polygenic scores for both ALCP-specific and EXT show different patterns of associations with alcohol misuse across development. Our results demonstrate that focusing on both shared and specific risk can better characterize pathways of risk for substance use disorders. Parsing risk pathways will become increasingly relevant as genetic information is incorporated into clinical practice. |
format | Online Article Text |
id | pubmed-9525649 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-95256492022-10-02 Parsing genetically influenced risk pathways: genetic loci impact problematic alcohol use via externalizing and specific risk Barr, Peter B. Mallard, Travis T. Sanchez-Roige, Sandra Poore, Holly E. Linnér, Richard Karlsson Waldman, Irwin D. Palmer, Abraham A. Harden, K. Paige Dick, Danielle M. Transl Psychiatry Article Genome-wide association studies (GWAS) identify genetic variants associated with a trait, regardless of how those variants are associated with the outcome. Characterizing whether variants for psychiatric outcomes operate via specific versus general pathways provides more informative measures of genetic risk. In the current analysis, we used multivariate GWAS to tease apart variants associated with problematic alcohol use (ALCP-total) through either a shared risk for externalizing (EXT) or a problematic alcohol use-specific risk (ALCP-specific). SNPs associated with ALCP-specific were primarily related to alcohol metabolism. Genetic correlations showed ALCP-specific was predominantly associated with alcohol use and other forms of psychopathology, but not other forms of substance use. Polygenic scores for ALCP-total were associated with multiple forms of substance use, but polygenic scores for ALCP-specific were only associated with alcohol phenotypes. Polygenic scores for both ALCP-specific and EXT show different patterns of associations with alcohol misuse across development. Our results demonstrate that focusing on both shared and specific risk can better characterize pathways of risk for substance use disorders. Parsing risk pathways will become increasingly relevant as genetic information is incorporated into clinical practice. Nature Publishing Group UK 2022-09-30 /pmc/articles/PMC9525649/ /pubmed/36180423 http://dx.doi.org/10.1038/s41398-022-02171-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Barr, Peter B. Mallard, Travis T. Sanchez-Roige, Sandra Poore, Holly E. Linnér, Richard Karlsson Waldman, Irwin D. Palmer, Abraham A. Harden, K. Paige Dick, Danielle M. Parsing genetically influenced risk pathways: genetic loci impact problematic alcohol use via externalizing and specific risk |
title | Parsing genetically influenced risk pathways: genetic loci impact problematic alcohol use via externalizing and specific risk |
title_full | Parsing genetically influenced risk pathways: genetic loci impact problematic alcohol use via externalizing and specific risk |
title_fullStr | Parsing genetically influenced risk pathways: genetic loci impact problematic alcohol use via externalizing and specific risk |
title_full_unstemmed | Parsing genetically influenced risk pathways: genetic loci impact problematic alcohol use via externalizing and specific risk |
title_short | Parsing genetically influenced risk pathways: genetic loci impact problematic alcohol use via externalizing and specific risk |
title_sort | parsing genetically influenced risk pathways: genetic loci impact problematic alcohol use via externalizing and specific risk |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9525649/ https://www.ncbi.nlm.nih.gov/pubmed/36180423 http://dx.doi.org/10.1038/s41398-022-02171-x |
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