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Analysis of whole genome-transcriptomic organization in brain to identify genes associated with alcoholism
Alcohol exposure triggers changes in gene expression and biological pathways in human brain. We explored alterations in gene expression in the Pre-Frontal Cortex (PFC) of 65 alcoholics and 73 controls of European descent, and identified 129 genes that showed altered expression (FDR < 0.05) in sub...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6376002/ https://www.ncbi.nlm.nih.gov/pubmed/30765688 http://dx.doi.org/10.1038/s41398-019-0384-y |
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author | Kapoor, Manav Wang, Jen-Chyong Farris, Sean P. Liu, Yunlong McClintick, Jeanette Gupta, Ishaan Meyers, Jacquelyn L. Bertelsen, Sarah Chao, Michael Nurnberger, John Tischfield, Jay Harari, Oscar Zeran, Li Hesselbrock, Victor Bauer, Lance Raj, Towfique Porjesz, Bernice Agrawal, Arpana Foroud, Tatiana Edenberg, Howard J. Mayfield, R. Dayne Goate, Alison |
author_facet | Kapoor, Manav Wang, Jen-Chyong Farris, Sean P. Liu, Yunlong McClintick, Jeanette Gupta, Ishaan Meyers, Jacquelyn L. Bertelsen, Sarah Chao, Michael Nurnberger, John Tischfield, Jay Harari, Oscar Zeran, Li Hesselbrock, Victor Bauer, Lance Raj, Towfique Porjesz, Bernice Agrawal, Arpana Foroud, Tatiana Edenberg, Howard J. Mayfield, R. Dayne Goate, Alison |
author_sort | Kapoor, Manav |
collection | PubMed |
description | Alcohol exposure triggers changes in gene expression and biological pathways in human brain. We explored alterations in gene expression in the Pre-Frontal Cortex (PFC) of 65 alcoholics and 73 controls of European descent, and identified 129 genes that showed altered expression (FDR < 0.05) in subjects with alcohol dependence. Differentially expressed genes were enriched for pathways related to interferon signaling and Growth Arrest and DNA Damage-inducible 45 (GADD45) signaling. A coexpression module (thistle2) identified by weighted gene co-expression network analysis (WGCNA) was significantly correlated with alcohol dependence, alcohol consumption, and AUDIT scores. Genes in the thistle2 module were enriched with genes related to calcium signaling pathways and showed significant downregulation of these pathways, as well as enrichment for biological processes related to nicotine response and opioid signaling. A second module (brown4) showed significant upregulation of pathways related to immune signaling. Expression quantitative trait loci (eQTLs) for genes in the brown4 module were also enriched for genetic associations with alcohol dependence and alcohol consumption in large genome-wide studies included in the Psychiatric Genetic Consortium and the UK Biobank’s alcohol consumption dataset. By leveraging multi-omics data, this transcriptome analysis has identified genes and biological pathways that could provide insight for identifying therapeutic targets for alcohol dependence. |
format | Online Article Text |
id | pubmed-6376002 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-63760022019-02-21 Analysis of whole genome-transcriptomic organization in brain to identify genes associated with alcoholism Kapoor, Manav Wang, Jen-Chyong Farris, Sean P. Liu, Yunlong McClintick, Jeanette Gupta, Ishaan Meyers, Jacquelyn L. Bertelsen, Sarah Chao, Michael Nurnberger, John Tischfield, Jay Harari, Oscar Zeran, Li Hesselbrock, Victor Bauer, Lance Raj, Towfique Porjesz, Bernice Agrawal, Arpana Foroud, Tatiana Edenberg, Howard J. Mayfield, R. Dayne Goate, Alison Transl Psychiatry Article Alcohol exposure triggers changes in gene expression and biological pathways in human brain. We explored alterations in gene expression in the Pre-Frontal Cortex (PFC) of 65 alcoholics and 73 controls of European descent, and identified 129 genes that showed altered expression (FDR < 0.05) in subjects with alcohol dependence. Differentially expressed genes were enriched for pathways related to interferon signaling and Growth Arrest and DNA Damage-inducible 45 (GADD45) signaling. A coexpression module (thistle2) identified by weighted gene co-expression network analysis (WGCNA) was significantly correlated with alcohol dependence, alcohol consumption, and AUDIT scores. Genes in the thistle2 module were enriched with genes related to calcium signaling pathways and showed significant downregulation of these pathways, as well as enrichment for biological processes related to nicotine response and opioid signaling. A second module (brown4) showed significant upregulation of pathways related to immune signaling. Expression quantitative trait loci (eQTLs) for genes in the brown4 module were also enriched for genetic associations with alcohol dependence and alcohol consumption in large genome-wide studies included in the Psychiatric Genetic Consortium and the UK Biobank’s alcohol consumption dataset. By leveraging multi-omics data, this transcriptome analysis has identified genes and biological pathways that could provide insight for identifying therapeutic targets for alcohol dependence. Nature Publishing Group UK 2019-02-14 /pmc/articles/PMC6376002/ /pubmed/30765688 http://dx.doi.org/10.1038/s41398-019-0384-y Text en © The Author(s) 2019 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/. |
spellingShingle | Article Kapoor, Manav Wang, Jen-Chyong Farris, Sean P. Liu, Yunlong McClintick, Jeanette Gupta, Ishaan Meyers, Jacquelyn L. Bertelsen, Sarah Chao, Michael Nurnberger, John Tischfield, Jay Harari, Oscar Zeran, Li Hesselbrock, Victor Bauer, Lance Raj, Towfique Porjesz, Bernice Agrawal, Arpana Foroud, Tatiana Edenberg, Howard J. Mayfield, R. Dayne Goate, Alison Analysis of whole genome-transcriptomic organization in brain to identify genes associated with alcoholism |
title | Analysis of whole genome-transcriptomic organization in brain to identify genes associated with alcoholism |
title_full | Analysis of whole genome-transcriptomic organization in brain to identify genes associated with alcoholism |
title_fullStr | Analysis of whole genome-transcriptomic organization in brain to identify genes associated with alcoholism |
title_full_unstemmed | Analysis of whole genome-transcriptomic organization in brain to identify genes associated with alcoholism |
title_short | Analysis of whole genome-transcriptomic organization in brain to identify genes associated with alcoholism |
title_sort | analysis of whole genome-transcriptomic organization in brain to identify genes associated with alcoholism |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6376002/ https://www.ncbi.nlm.nih.gov/pubmed/30765688 http://dx.doi.org/10.1038/s41398-019-0384-y |
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