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

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

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

2020
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Overview
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. 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.