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Genome-wide meta-analysis of alcohol use disorder in East Asians
Alcohol use disorder (AUD) is a leading cause of death and disability worldwide. Genome-wide association studies (GWAS) have identified ~30 AUD risk genes in European populations, but many fewer in East Asians. We conducted GWAS and genome-wide meta-analysis of AUD in 13,551 subjects with East Asian...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9372033/ https://www.ncbi.nlm.nih.gov/pubmed/35094024 http://dx.doi.org/10.1038/s41386-022-01265-w |
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author | Zhou, Hang Kalayasiri, Rasmon Sun, Yan Nuñez, Yaira Z. Deng, Hong-Wen Chen, Xiang-Ding Justice, Amy C. Kranzler, Henry R. Chang, Suhua Lu, Lin Shi, Jie Sanichwankul, Kittipong Mutirangura, Apiwat Malison, Robert T. Gelernter, Joel |
author_facet | Zhou, Hang Kalayasiri, Rasmon Sun, Yan Nuñez, Yaira Z. Deng, Hong-Wen Chen, Xiang-Ding Justice, Amy C. Kranzler, Henry R. Chang, Suhua Lu, Lin Shi, Jie Sanichwankul, Kittipong Mutirangura, Apiwat Malison, Robert T. Gelernter, Joel |
author_sort | Zhou, Hang |
collection | PubMed |
description | Alcohol use disorder (AUD) is a leading cause of death and disability worldwide. Genome-wide association studies (GWAS) have identified ~30 AUD risk genes in European populations, but many fewer in East Asians. We conducted GWAS and genome-wide meta-analysis of AUD in 13,551 subjects with East Asian ancestry, using published summary data and newly genotyped data from five cohorts: (1) electronic health record (EHR)-diagnosed AUD in the Million Veteran Program (MVP) sample; (2) DSM-IV diagnosed alcohol dependence (AD) in a Han Chinese–GSA (array) cohort; (3) AD in a Han Chinese–Cyto (array) cohort; and (4) two AD Thai cohorts. The MVP and Thai samples included newly genotyped subjects from ongoing recruitment. In total, 2254 cases and 11,297 controls were analyzed. An AUD polygenic risk score was analyzed in an independent sample with 4464 East Asians (Genetic Epidemiology Research in Adult Health and Aging (GERA)). Phenotypes from survey data and ICD-9-CM diagnoses were tested for association with the AUD PRS. Two risk loci were detected: the well-known functional variant rs1229984 in ADH1B and rs3782886 in BRAP (near the ALDH2 gene locus) are the lead variants. AUD PRS was significantly associated with days per week of alcohol consumption (beta = 0.43, SE = 0.067, p = 2.47 × 10(−10)) and nominally associated with pack years of smoking (beta = 0.09, SE = 0.05, p = 4.52 × 10(−2)) and ever vs. never smoking (beta = 0.06, SE = 0.02, p = 1.14 × 10(−2)). This is the largest GWAS of AUD in East Asians to date. Building on previous findings, we were able to analyze pleiotropy, but did not identify any new risk regions, underscoring the importance of recruiting additional East Asian subjects for alcohol GWAS. |
format | Online Article Text |
id | pubmed-9372033 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-93720332022-08-13 Genome-wide meta-analysis of alcohol use disorder in East Asians Zhou, Hang Kalayasiri, Rasmon Sun, Yan Nuñez, Yaira Z. Deng, Hong-Wen Chen, Xiang-Ding Justice, Amy C. Kranzler, Henry R. Chang, Suhua Lu, Lin Shi, Jie Sanichwankul, Kittipong Mutirangura, Apiwat Malison, Robert T. Gelernter, Joel Neuropsychopharmacology Article Alcohol use disorder (AUD) is a leading cause of death and disability worldwide. Genome-wide association studies (GWAS) have identified ~30 AUD risk genes in European populations, but many fewer in East Asians. We conducted GWAS and genome-wide meta-analysis of AUD in 13,551 subjects with East Asian ancestry, using published summary data and newly genotyped data from five cohorts: (1) electronic health record (EHR)-diagnosed AUD in the Million Veteran Program (MVP) sample; (2) DSM-IV diagnosed alcohol dependence (AD) in a Han Chinese–GSA (array) cohort; (3) AD in a Han Chinese–Cyto (array) cohort; and (4) two AD Thai cohorts. The MVP and Thai samples included newly genotyped subjects from ongoing recruitment. In total, 2254 cases and 11,297 controls were analyzed. An AUD polygenic risk score was analyzed in an independent sample with 4464 East Asians (Genetic Epidemiology Research in Adult Health and Aging (GERA)). Phenotypes from survey data and ICD-9-CM diagnoses were tested for association with the AUD PRS. Two risk loci were detected: the well-known functional variant rs1229984 in ADH1B and rs3782886 in BRAP (near the ALDH2 gene locus) are the lead variants. AUD PRS was significantly associated with days per week of alcohol consumption (beta = 0.43, SE = 0.067, p = 2.47 × 10(−10)) and nominally associated with pack years of smoking (beta = 0.09, SE = 0.05, p = 4.52 × 10(−2)) and ever vs. never smoking (beta = 0.06, SE = 0.02, p = 1.14 × 10(−2)). This is the largest GWAS of AUD in East Asians to date. Building on previous findings, we were able to analyze pleiotropy, but did not identify any new risk regions, underscoring the importance of recruiting additional East Asian subjects for alcohol GWAS. Springer International Publishing 2022-01-29 2022-09 /pmc/articles/PMC9372033/ /pubmed/35094024 http://dx.doi.org/10.1038/s41386-022-01265-w 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 Zhou, Hang Kalayasiri, Rasmon Sun, Yan Nuñez, Yaira Z. Deng, Hong-Wen Chen, Xiang-Ding Justice, Amy C. Kranzler, Henry R. Chang, Suhua Lu, Lin Shi, Jie Sanichwankul, Kittipong Mutirangura, Apiwat Malison, Robert T. Gelernter, Joel Genome-wide meta-analysis of alcohol use disorder in East Asians |
title | Genome-wide meta-analysis of alcohol use disorder in East Asians |
title_full | Genome-wide meta-analysis of alcohol use disorder in East Asians |
title_fullStr | Genome-wide meta-analysis of alcohol use disorder in East Asians |
title_full_unstemmed | Genome-wide meta-analysis of alcohol use disorder in East Asians |
title_short | Genome-wide meta-analysis of alcohol use disorder in East Asians |
title_sort | genome-wide meta-analysis of alcohol use disorder in east asians |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9372033/ https://www.ncbi.nlm.nih.gov/pubmed/35094024 http://dx.doi.org/10.1038/s41386-022-01265-w |
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