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

Genome-wide association studies (GWASs) for cigarette smoking have identified several hundred loci that account for a small proportion of the overall genetic risk. Here, the authors report a large GWAS for smoking trajectories and meta-analysis for smoking status, finding multiple plausible loci.

Bibliographic Details
Main Authors: Ke Xu, Boyang Li, Kathleen A. McGinnis, Rachel Vickers-Smith, Cecilia Dao, Ning Sun, Rachel L. Kember, Hang Zhou, William C. Becker, Joel Gelernter, Henry R. Kranzler, Hongyu Zhao, Amy C. Justice, VA Million Veteran Program
Format: Article
Language:English
Published: Nature Publishing Group 2020-10-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-020-18489-3
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spelling doaj-5636c1ee2c174d56952ba63ab531d3332021-05-11T08:55:15ZengNature Publishing GroupNature Communications2041-17232020-10-0111111110.1038/s41467-020-18489-3Genome-wide association study of smoking trajectory and meta-analysis of smoking status in 842,000 individualsKe Xu0Boyang Li1Kathleen A. McGinnis2Rachel Vickers-Smith3Cecilia Dao4Ning Sun5Rachel L. Kember6Hang Zhou7William C. Becker8Joel Gelernter9Henry R. Kranzler10Hongyu Zhao11Amy C. Justice12VA Million Veteran ProgramYale School of MedicineVA Connecticut Healthcare SystemVA Connecticut Healthcare SystemUniversity of Kentucky College of Public HealthVA Connecticut Healthcare SystemYale School of Public HealthUniversity of Pennsylvania Perelman School of MedicineYale School of MedicineYale School of MedicineYale School of MedicineUniversity of Pennsylvania Perelman School of MedicineYale School of MedicineYale School of MedicineGenome-wide association studies (GWASs) for cigarette smoking have identified several hundred loci that account for a small proportion of the overall genetic risk. Here, the authors report a large GWAS for smoking trajectories and meta-analysis for smoking status, finding multiple plausible loci.https://doi.org/10.1038/s41467-020-18489-3
collection DOAJ
language English
format Article
sources DOAJ
author Ke Xu
Boyang Li
Kathleen A. McGinnis
Rachel Vickers-Smith
Cecilia Dao
Ning Sun
Rachel L. Kember
Hang Zhou
William C. Becker
Joel Gelernter
Henry R. Kranzler
Hongyu Zhao
Amy C. Justice
VA Million Veteran Program
spellingShingle Ke Xu
Boyang Li
Kathleen A. McGinnis
Rachel Vickers-Smith
Cecilia Dao
Ning Sun
Rachel L. Kember
Hang Zhou
William C. Becker
Joel Gelernter
Henry R. Kranzler
Hongyu Zhao
Amy C. Justice
VA Million Veteran Program
Genome-wide association study of smoking trajectory and meta-analysis of smoking status in 842,000 individuals
Nature Communications
author_facet Ke Xu
Boyang Li
Kathleen A. McGinnis
Rachel Vickers-Smith
Cecilia Dao
Ning Sun
Rachel L. Kember
Hang Zhou
William C. Becker
Joel Gelernter
Henry R. Kranzler
Hongyu Zhao
Amy C. Justice
VA Million Veteran Program
author_sort Ke Xu
title 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_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_sort genome-wide association study of smoking trajectory and meta-analysis of smoking status in 842,000 individuals
publisher Nature Publishing Group
series Nature Communications
issn 2041-1723
publishDate 2020-10-01
description Genome-wide association studies (GWASs) for cigarette smoking have identified several hundred loci that account for a small proportion of the overall genetic risk. Here, the authors report a large GWAS for smoking trajectories and meta-analysis for smoking status, finding multiple plausible loci.
url https://doi.org/10.1038/s41467-020-18489-3
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