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Genome-wide association study of smoking trajectory and meta-analysis of smoking status in 842,000 individuals

Here we report a large genome-wide association study (GWAS) for longitudinal smoking phenotypes in 286,118 individuals from the Million Veteran Program (MVP) where we identified 18 loci for smoking trajectory of current versus never in European Americans, one locus in African Americans, and one in H...

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Autores principales: Xu, Ke, Li, Boyang, McGinnis, Kathleen A., Vickers-Smith, Rachel, Dao, Cecilia, Sun, Ning, Kember, Rachel L., Zhou, Hang, Becker, William C., Gelernter, Joel, Kranzler, Henry R., Zhao, Hongyu, Justice, Amy C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7598939/
https://www.ncbi.nlm.nih.gov/pubmed/33082346
http://dx.doi.org/10.1038/s41467-020-18489-3
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author Xu, Ke
Li, Boyang
McGinnis, Kathleen A.
Vickers-Smith, Rachel
Dao, Cecilia
Sun, Ning
Kember, Rachel L.
Zhou, Hang
Becker, William C.
Gelernter, Joel
Kranzler, Henry R.
Zhao, Hongyu
Justice, Amy C.
author_facet Xu, Ke
Li, Boyang
McGinnis, Kathleen A.
Vickers-Smith, Rachel
Dao, Cecilia
Sun, Ning
Kember, Rachel L.
Zhou, Hang
Becker, William C.
Gelernter, Joel
Kranzler, Henry R.
Zhao, Hongyu
Justice, Amy C.
author_sort Xu, Ke
collection PubMed
description Here we report a large genome-wide association study (GWAS) for longitudinal smoking phenotypes in 286,118 individuals from the Million Veteran Program (MVP) where we identified 18 loci for smoking trajectory of current versus never in European Americans, one locus in African Americans, and one in Hispanic Americans. Functional annotations prioritized several dozen genes where significant loci co-localized with either expression quantitative trait loci or chromatin interactions. The smoking trajectories were genetically correlated with 209 complex traits, for 33 of which smoking was either a causal or a consequential factor. We also performed European-ancestry meta-analyses for smoking status in the MVP and GWAS & Sequencing Consortium of Alcohol and Nicotine use (GSCAN) (N(total) = 842,717) and identified 99 loci for smoking initiation and 13 loci for smoking cessation. Overall, this large GWAS of longitudinal smoking phenotype in multiple populations, combined with a meta-GWAS for smoking status, adds new insights into the genetic vulnerability for smoking behavior.
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spelling pubmed-75989392020-11-10 Genome-wide association study of smoking trajectory and meta-analysis of smoking status in 842,000 individuals Xu, Ke Li, Boyang McGinnis, Kathleen A. Vickers-Smith, Rachel Dao, Cecilia Sun, Ning Kember, Rachel L. Zhou, Hang Becker, William C. Gelernter, Joel Kranzler, Henry R. Zhao, Hongyu Justice, Amy C. Nat Commun Article Here we report a large genome-wide association study (GWAS) for longitudinal smoking phenotypes in 286,118 individuals from the Million Veteran Program (MVP) where we identified 18 loci for smoking trajectory of current versus never in European Americans, one locus in African Americans, and one in Hispanic Americans. Functional annotations prioritized several dozen genes where significant loci co-localized with either expression quantitative trait loci or chromatin interactions. The smoking trajectories were genetically correlated with 209 complex traits, for 33 of which smoking was either a causal or a consequential factor. We also performed European-ancestry meta-analyses for smoking status in the MVP and GWAS & Sequencing Consortium of Alcohol and Nicotine use (GSCAN) (N(total) = 842,717) and identified 99 loci for smoking initiation and 13 loci for smoking cessation. Overall, this large GWAS of longitudinal smoking phenotype in multiple populations, combined with a meta-GWAS for smoking status, adds new insights into the genetic vulnerability for smoking behavior. Nature Publishing Group UK 2020-10-20 /pmc/articles/PMC7598939/ /pubmed/33082346 http://dx.doi.org/10.1038/s41467-020-18489-3 Text en © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2020 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
Xu, Ke
Li, Boyang
McGinnis, Kathleen A.
Vickers-Smith, Rachel
Dao, Cecilia
Sun, Ning
Kember, Rachel L.
Zhou, Hang
Becker, William C.
Gelernter, Joel
Kranzler, Henry R.
Zhao, Hongyu
Justice, Amy C.
Genome-wide association study of smoking trajectory and meta-analysis of smoking status in 842,000 individuals
title Genome-wide association study of smoking trajectory and meta-analysis of smoking status in 842,000 individuals
title_full Genome-wide association study of smoking trajectory and meta-analysis of smoking status in 842,000 individuals
title_fullStr Genome-wide association study of smoking trajectory and meta-analysis of smoking status in 842,000 individuals
title_full_unstemmed Genome-wide association study of smoking trajectory and meta-analysis of smoking status in 842,000 individuals
title_short Genome-wide association study of smoking trajectory and meta-analysis of smoking status in 842,000 individuals
title_sort genome-wide association study of smoking trajectory and meta-analysis of smoking status in 842,000 individuals
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7598939/
https://www.ncbi.nlm.nih.gov/pubmed/33082346
http://dx.doi.org/10.1038/s41467-020-18489-3
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