Abstract

Tobacco and alcohol use are heritable behaviours associated with 15% and 5.3% of worldwide deaths, respectively, due largely to broad increased risk for disease and injury1–4. These substances are used across the globe, yet genome-wide association studies have focused largely on individuals of European ancestries5. Here we leveraged global genetic diversity across 3.4 million individuals from four major clines of global ancestry (approximately 21% non-European) to power the discovery and fine-mapping of genomic loci associated with tobacco and alcohol use, to inform function of these loci via ancestry-aware transcriptome-wide association studies, and to evaluate the genetic architecture and predictive power of polygenic risk within and across populations. We found that increases in sample size and genetic diversity improved locus identification and fine-mapping resolution, and that a large majority of the 3,823 associated variants (from 2,143 loci) showed consistent effect sizes across ancestry dimensions. However, polygenic risk scores developed in one ancestry performed poorly in others, highlighting the continued need to increase sample sizes of diverse ancestries to realize any potential benefit of polygenic prediction.

Original languageEnglish
Pages (from-to)720-724
Number of pages5
JournalNature
Volume612
Issue number7941
Early online date7 Dec 2022
DOIs
Publication statusPublished - 22 Dec 2022

Data Availability Statement

GWAS summary statistics can be downloaded online (https://doi.org/10.13020/przg-dp88) with more information available here: https://genome.psych.umn.edu/index.php/GSCAN. We have provided association results for variants that passed quality-control filters in the multi-ancestry and ancestry-stratified results for each of the five substance use phenotypes, excluding data provided by 23andMe. Ancestry-stratified polygenic score weights based on ancestry-stratified summary statistics are also provided. 23andMe results are available directly from the company.

Funding

This study was designed and carried out by the GWAS and Sequencing Consortium of Alcohol and Nicotine use (GSCAN). It was conducted by using the UK Biobank Resource under application number 16651. This study was supported by funding from US National Institutes of Health awards R56HG011035, R01DA044283, R01DA042755 and U01DA041120 to S.V., and R01GM126479, R56HG011035, R03OD032630, R01HG011035 and R56HG012358 to D.J.L. G.R.B.S. was also supported by National Institutes of Health award T32DA050560. D.J.L. and X.W. were in part supported by the Penn State College of Medicine’s Biomedical Informatics and Artificial Intelligence Program in the Strategic Plan. A full list of acknowledgements is provided in the Supplementary Note.

ASJC Scopus subject areas

  • General

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