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

Author

Listed:
  • Ke Xu

    (Yale School of Medicine
    VA Connecticut Healthcare System)

  • Boyang Li

    (VA Connecticut Healthcare System
    Yale School of Public Health)

  • Kathleen A. McGinnis

    (VA Connecticut Healthcare System)

  • Rachel Vickers-Smith

    (University of Kentucky College of Public Health)

  • Cecilia Dao

    (VA Connecticut Healthcare System
    Yale School of Public Health)

  • Ning Sun

    (Yale School of Public Health)

  • Rachel L. Kember

    (University of Pennsylvania Perelman School of Medicine
    Crescenz Veterans Affairs Medical Center)

  • Hang Zhou

    (Yale School of Medicine
    VA Connecticut Healthcare System)

  • William C. Becker

    (Yale School of Medicine
    VA Connecticut Healthcare System)

  • Joel Gelernter

    (Yale School of Medicine
    VA Connecticut Healthcare System)

  • Henry R. Kranzler

    (University of Pennsylvania Perelman School of Medicine
    Crescenz Veterans Affairs Medical Center)

  • Hongyu Zhao

    (Yale School of Medicine
    Yale School of Public Health)

  • Amy C. Justice

    (Yale School of Medicine
    VA Connecticut Healthcare System)

Abstract

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) (Ntotal = 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.

Suggested Citation

  • 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. , 2020. "Genome-wide association study of smoking trajectory and meta-analysis of smoking status in 842,000 individuals," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-18489-3
    DOI: 10.1038/s41467-020-18489-3
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    Cited by:

    1. Wenmin Zhang & Robert Sladek & Yue Li & Hamed Najafabadi & Josée Dupuis, 2024. "Accounting for genetic effect heterogeneity in fine-mapping and improving power to detect gene-environment interactions with SharePro," Nature Communications, Nature, vol. 15(1), pages 1-11, December.

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