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Genome-wide meta-analysis of problematic alcohol use in 435,563 individuals yields insights into biology and relationships with other traits

Problematic alcohol use (PAU) is a leading cause of death and disability worldwide. Although genome-wide association studies (GWASs) have identified PAU risk genes, the genetic architecture of this trait is not fully understood. We conducted a proxy-phenotype meta-analysis of PAU combining alcohol u...

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Autores principales: Zhou, Hang, Sealock, Julia M., Sanchez-Roige, Sandra, Clarke, Toni-Kim, Levey, Daniel F., Cheng, Zhongshan, Li, Boyang, Polimanti, Renato, Kember, Rachel L., Smith, Rachel Vickers, Thygesen, Johan H., Morgan, Marsha Y., Atkinson, Stephen R., Thursz, Mark R., Nyegaard, Mette, Mattheisen, Manuel, Børglum, Anders D., Johnson, Emma C., Justice, Amy C., Palmer, Abraham A., McQuillin, Andrew, Davis, Lea K., Edenberg, Howard J., Agrawal, Arpana, Kranzler, Henry R., Gelernter, Joel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7485556/
https://www.ncbi.nlm.nih.gov/pubmed/32451486
http://dx.doi.org/10.1038/s41593-020-0643-5
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author Zhou, Hang
Sealock, Julia M.
Sanchez-Roige, Sandra
Clarke, Toni-Kim
Levey, Daniel F.
Cheng, Zhongshan
Li, Boyang
Polimanti, Renato
Kember, Rachel L.
Smith, Rachel Vickers
Thygesen, Johan H.
Morgan, Marsha Y.
Atkinson, Stephen R.
Thursz, Mark R.
Nyegaard, Mette
Mattheisen, Manuel
Børglum, Anders D.
Johnson, Emma C.
Justice, Amy C.
Palmer, Abraham A.
McQuillin, Andrew
Davis, Lea K.
Edenberg, Howard J.
Agrawal, Arpana
Kranzler, Henry R.
Gelernter, Joel
author_facet Zhou, Hang
Sealock, Julia M.
Sanchez-Roige, Sandra
Clarke, Toni-Kim
Levey, Daniel F.
Cheng, Zhongshan
Li, Boyang
Polimanti, Renato
Kember, Rachel L.
Smith, Rachel Vickers
Thygesen, Johan H.
Morgan, Marsha Y.
Atkinson, Stephen R.
Thursz, Mark R.
Nyegaard, Mette
Mattheisen, Manuel
Børglum, Anders D.
Johnson, Emma C.
Justice, Amy C.
Palmer, Abraham A.
McQuillin, Andrew
Davis, Lea K.
Edenberg, Howard J.
Agrawal, Arpana
Kranzler, Henry R.
Gelernter, Joel
author_sort Zhou, Hang
collection PubMed
description Problematic alcohol use (PAU) is a leading cause of death and disability worldwide. Although genome-wide association studies (GWASs) have identified PAU risk genes, the genetic architecture of this trait is not fully understood. We conducted a proxy-phenotype meta-analysis of PAU combining alcohol use disorder and problematic drinking in 435,563 European-ancestry individuals. We identified 29 independent risk variants, 19 of them novel. PAU was genetically correlated with 138 phenotypes, including substance use and psychiatric traits. Phenome-wide polygenic risk score analysis in an independent biobank sample (BioVU, n=67,589) confirmed the genetic correlations between PAU and substance use and psychiatric disorders. Genetic heritability of PAU was enriched in brain and in conserved and regulatory genomic regions. Mendelian randomization suggested causal effects on liability to PAU of substance use, psychiatric status, risk-taking behavior, and cognitive performance. In summary, this large PAU meta-analysis identified novel risk loci and revealed genetic relationships with numerous other traits.
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spelling pubmed-74855562020-11-25 Genome-wide meta-analysis of problematic alcohol use in 435,563 individuals yields insights into biology and relationships with other traits Zhou, Hang Sealock, Julia M. Sanchez-Roige, Sandra Clarke, Toni-Kim Levey, Daniel F. Cheng, Zhongshan Li, Boyang Polimanti, Renato Kember, Rachel L. Smith, Rachel Vickers Thygesen, Johan H. Morgan, Marsha Y. Atkinson, Stephen R. Thursz, Mark R. Nyegaard, Mette Mattheisen, Manuel Børglum, Anders D. Johnson, Emma C. Justice, Amy C. Palmer, Abraham A. McQuillin, Andrew Davis, Lea K. Edenberg, Howard J. Agrawal, Arpana Kranzler, Henry R. Gelernter, Joel Nat Neurosci Article Problematic alcohol use (PAU) is a leading cause of death and disability worldwide. Although genome-wide association studies (GWASs) have identified PAU risk genes, the genetic architecture of this trait is not fully understood. We conducted a proxy-phenotype meta-analysis of PAU combining alcohol use disorder and problematic drinking in 435,563 European-ancestry individuals. We identified 29 independent risk variants, 19 of them novel. PAU was genetically correlated with 138 phenotypes, including substance use and psychiatric traits. Phenome-wide polygenic risk score analysis in an independent biobank sample (BioVU, n=67,589) confirmed the genetic correlations between PAU and substance use and psychiatric disorders. Genetic heritability of PAU was enriched in brain and in conserved and regulatory genomic regions. Mendelian randomization suggested causal effects on liability to PAU of substance use, psychiatric status, risk-taking behavior, and cognitive performance. In summary, this large PAU meta-analysis identified novel risk loci and revealed genetic relationships with numerous other traits. 2020-05-25 2020-07 /pmc/articles/PMC7485556/ /pubmed/32451486 http://dx.doi.org/10.1038/s41593-020-0643-5 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Zhou, Hang
Sealock, Julia M.
Sanchez-Roige, Sandra
Clarke, Toni-Kim
Levey, Daniel F.
Cheng, Zhongshan
Li, Boyang
Polimanti, Renato
Kember, Rachel L.
Smith, Rachel Vickers
Thygesen, Johan H.
Morgan, Marsha Y.
Atkinson, Stephen R.
Thursz, Mark R.
Nyegaard, Mette
Mattheisen, Manuel
Børglum, Anders D.
Johnson, Emma C.
Justice, Amy C.
Palmer, Abraham A.
McQuillin, Andrew
Davis, Lea K.
Edenberg, Howard J.
Agrawal, Arpana
Kranzler, Henry R.
Gelernter, Joel
Genome-wide meta-analysis of problematic alcohol use in 435,563 individuals yields insights into biology and relationships with other traits
title Genome-wide meta-analysis of problematic alcohol use in 435,563 individuals yields insights into biology and relationships with other traits
title_full Genome-wide meta-analysis of problematic alcohol use in 435,563 individuals yields insights into biology and relationships with other traits
title_fullStr Genome-wide meta-analysis of problematic alcohol use in 435,563 individuals yields insights into biology and relationships with other traits
title_full_unstemmed Genome-wide meta-analysis of problematic alcohol use in 435,563 individuals yields insights into biology and relationships with other traits
title_short Genome-wide meta-analysis of problematic alcohol use in 435,563 individuals yields insights into biology and relationships with other traits
title_sort genome-wide meta-analysis of problematic alcohol use in 435,563 individuals yields insights into biology and relationships with other traits
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7485556/
https://www.ncbi.nlm.nih.gov/pubmed/32451486
http://dx.doi.org/10.1038/s41593-020-0643-5
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