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Multi-ancestry study of the genetics of problematic alcohol use in >1 million individuals

Problematic alcohol use (PAU) is a leading cause of death and disability worldwide. To improve our understanding of the genetics of PAU, we conducted a large cross-ancestry meta-analysis of PAU in 1,079,947 individuals. We observed a high degree of cross-ancestral similarity in the genetic architect...

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Autores principales: Zhou, Hang, Kember, Rachel L., Deak, Joseph D., Xu, Heng, Toikumo, Sylvanus, Yuan, Kai, Lind, Penelope A., Farajzadeh, Leila, Wang, Lu, Hatoum, Alexander S., Johnson, Jessica, Lee, Hyunjoon, Mallard, Travis T., Xu, Jiayi, Johnston, Keira J.A., Johnson, Emma C., Galimberti, Marco, Dao, Cecilia, Levey, Daniel F., Overstreet, Cassie, Byrne, Enda M., Gillespie, Nathan A., Gordon, Scott, Hickie, Ian B., Whitfield, John B., Xu, Ke, Zhao, Hongyu, Huckins, Laura M., Davis, Lea K., Sanchez-Roige, Sandra, Madden, Pamela A. F., Heath, Andrew C., Medland, Sarah E., Martin, Nicholas G., Ge, Tian, Smoller, Jordan W., Hougaard, David M., Børglum, Anders D., Demontis, Ditte, Krystal, John H., Gaziano, J. Michael, Edenberg, Howard J., Agrawal, Arpana, Justice, Amy C., Stein, Murray B., Kranzler, Henry R., Gelernter, Joel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9901058/
https://www.ncbi.nlm.nih.gov/pubmed/36747741
http://dx.doi.org/10.1101/2023.01.24.23284960
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author Zhou, Hang
Kember, Rachel L.
Deak, Joseph D.
Xu, Heng
Toikumo, Sylvanus
Yuan, Kai
Lind, Penelope A.
Farajzadeh, Leila
Wang, Lu
Hatoum, Alexander S.
Johnson, Jessica
Lee, Hyunjoon
Mallard, Travis T.
Xu, Jiayi
Johnston, Keira J.A.
Johnson, Emma C.
Galimberti, Marco
Dao, Cecilia
Levey, Daniel F.
Overstreet, Cassie
Byrne, Enda M.
Gillespie, Nathan A.
Gordon, Scott
Hickie, Ian B.
Whitfield, John B.
Xu, Ke
Zhao, Hongyu
Huckins, Laura M.
Davis, Lea K.
Sanchez-Roige, Sandra
Madden, Pamela A. F.
Heath, Andrew C.
Medland, Sarah E.
Martin, Nicholas G.
Ge, Tian
Smoller, Jordan W.
Hougaard, David M.
Børglum, Anders D.
Demontis, Ditte
Krystal, John H.
Gaziano, J. Michael
Edenberg, Howard J.
Agrawal, Arpana
Justice, Amy C.
Stein, Murray B.
Kranzler, Henry R.
Gelernter, Joel
author_facet Zhou, Hang
Kember, Rachel L.
Deak, Joseph D.
Xu, Heng
Toikumo, Sylvanus
Yuan, Kai
Lind, Penelope A.
Farajzadeh, Leila
Wang, Lu
Hatoum, Alexander S.
Johnson, Jessica
Lee, Hyunjoon
Mallard, Travis T.
Xu, Jiayi
Johnston, Keira J.A.
Johnson, Emma C.
Galimberti, Marco
Dao, Cecilia
Levey, Daniel F.
Overstreet, Cassie
Byrne, Enda M.
Gillespie, Nathan A.
Gordon, Scott
Hickie, Ian B.
Whitfield, John B.
Xu, Ke
Zhao, Hongyu
Huckins, Laura M.
Davis, Lea K.
Sanchez-Roige, Sandra
Madden, Pamela A. F.
Heath, Andrew C.
Medland, Sarah E.
Martin, Nicholas G.
Ge, Tian
Smoller, Jordan W.
Hougaard, David M.
Børglum, Anders D.
Demontis, Ditte
Krystal, John H.
Gaziano, J. Michael
Edenberg, Howard J.
Agrawal, Arpana
Justice, Amy C.
Stein, Murray B.
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. To improve our understanding of the genetics of PAU, we conducted a large cross-ancestry meta-analysis of PAU in 1,079,947 individuals. We observed a high degree of cross-ancestral similarity in the genetic architecture of PAU and identified 110 independent risk variants in within- and cross-ancestry analyses. Cross-ancestry fine-mapping improved the identification of likely causal variants. Prioritizing genes through gene expression and/or chromatin interaction in brain tissues identified multiple genes associated with PAU. We identified existing medications for potential pharmacological studies by drug repurposing analysis. Cross-ancestry polygenic risk scores (PRS) showed better performance in independent sample than single-ancestry PRS. Genetic correlations between PAU and other traits were observed in multiple ancestries, with other substance use traits having the highest correlations. The analysis of diverse ancestries contributed significantly to the findings, and fills an important gap in the literature.
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spelling pubmed-99010582023-02-07 Multi-ancestry study of the genetics of problematic alcohol use in >1 million individuals Zhou, Hang Kember, Rachel L. Deak, Joseph D. Xu, Heng Toikumo, Sylvanus Yuan, Kai Lind, Penelope A. Farajzadeh, Leila Wang, Lu Hatoum, Alexander S. Johnson, Jessica Lee, Hyunjoon Mallard, Travis T. Xu, Jiayi Johnston, Keira J.A. Johnson, Emma C. Galimberti, Marco Dao, Cecilia Levey, Daniel F. Overstreet, Cassie Byrne, Enda M. Gillespie, Nathan A. Gordon, Scott Hickie, Ian B. Whitfield, John B. Xu, Ke Zhao, Hongyu Huckins, Laura M. Davis, Lea K. Sanchez-Roige, Sandra Madden, Pamela A. F. Heath, Andrew C. Medland, Sarah E. Martin, Nicholas G. Ge, Tian Smoller, Jordan W. Hougaard, David M. Børglum, Anders D. Demontis, Ditte Krystal, John H. Gaziano, J. Michael Edenberg, Howard J. Agrawal, Arpana Justice, Amy C. Stein, Murray B. Kranzler, Henry R. Gelernter, Joel medRxiv Article Problematic alcohol use (PAU) is a leading cause of death and disability worldwide. To improve our understanding of the genetics of PAU, we conducted a large cross-ancestry meta-analysis of PAU in 1,079,947 individuals. We observed a high degree of cross-ancestral similarity in the genetic architecture of PAU and identified 110 independent risk variants in within- and cross-ancestry analyses. Cross-ancestry fine-mapping improved the identification of likely causal variants. Prioritizing genes through gene expression and/or chromatin interaction in brain tissues identified multiple genes associated with PAU. We identified existing medications for potential pharmacological studies by drug repurposing analysis. Cross-ancestry polygenic risk scores (PRS) showed better performance in independent sample than single-ancestry PRS. Genetic correlations between PAU and other traits were observed in multiple ancestries, with other substance use traits having the highest correlations. The analysis of diverse ancestries contributed significantly to the findings, and fills an important gap in the literature. Cold Spring Harbor Laboratory 2023-01-30 /pmc/articles/PMC9901058/ /pubmed/36747741 http://dx.doi.org/10.1101/2023.01.24.23284960 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Zhou, Hang
Kember, Rachel L.
Deak, Joseph D.
Xu, Heng
Toikumo, Sylvanus
Yuan, Kai
Lind, Penelope A.
Farajzadeh, Leila
Wang, Lu
Hatoum, Alexander S.
Johnson, Jessica
Lee, Hyunjoon
Mallard, Travis T.
Xu, Jiayi
Johnston, Keira J.A.
Johnson, Emma C.
Galimberti, Marco
Dao, Cecilia
Levey, Daniel F.
Overstreet, Cassie
Byrne, Enda M.
Gillespie, Nathan A.
Gordon, Scott
Hickie, Ian B.
Whitfield, John B.
Xu, Ke
Zhao, Hongyu
Huckins, Laura M.
Davis, Lea K.
Sanchez-Roige, Sandra
Madden, Pamela A. F.
Heath, Andrew C.
Medland, Sarah E.
Martin, Nicholas G.
Ge, Tian
Smoller, Jordan W.
Hougaard, David M.
Børglum, Anders D.
Demontis, Ditte
Krystal, John H.
Gaziano, J. Michael
Edenberg, Howard J.
Agrawal, Arpana
Justice, Amy C.
Stein, Murray B.
Kranzler, Henry R.
Gelernter, Joel
Multi-ancestry study of the genetics of problematic alcohol use in >1 million individuals
title Multi-ancestry study of the genetics of problematic alcohol use in >1 million individuals
title_full Multi-ancestry study of the genetics of problematic alcohol use in >1 million individuals
title_fullStr Multi-ancestry study of the genetics of problematic alcohol use in >1 million individuals
title_full_unstemmed Multi-ancestry study of the genetics of problematic alcohol use in >1 million individuals
title_short Multi-ancestry study of the genetics of problematic alcohol use in >1 million individuals
title_sort multi-ancestry study of the genetics of problematic alcohol use in >1 million individuals
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9901058/
https://www.ncbi.nlm.nih.gov/pubmed/36747741
http://dx.doi.org/10.1101/2023.01.24.23284960
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