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Genetic diversity fuels gene discovery for tobacco and alcohol use

  • 23andMe Research Team
  • , The Biobank Japan Project
  • Department of Psychology
  • University of Minnesota Twin Cities
  • Department of Public Health Sciences
  • Pennsylvania State University
  • Stanford University
  • Jackson Heart Study (JHS) Graduate Training and Education Center (GTEC)
  • Jackson State University
  • Laboratory for Statistical and Translational Genetics
  • RIKEN
  • Department of Ocular Pathology and Imaging Science
  • Kyushu University
  • Smidt Heart Institute
  • Cedars-Sinai Medical Center
  • Division of Preventive Medicine
  • Brigham and Women’s Hospital
  • Department of Psychiatry
  • UMDNJ-Robert Wood Johnson Medical School
  • Department of Epidemiology
  • Emory University
  • Dean’s Office and Department of Epidemiology
  • University of Kentucky
  • Duke University
  • Division of Hematology
  • Mayo Clinic College of Medicine and Science
  • University of Colorado Anschutz Medical Campus
  • Tempus AI, Inc.
  • Department of Medicine
  • Columbia University
  • University of Washington
  • GeneSTAR Research Program
  • Johns Hopkins University
  • University of Michigan, Ann Arbor
  • Boston University
  • deCODE Genetics
  • University of Texas Rio Grande Valley
  • University of Arizona
  • Institute of Behavioral Science
  • University of Colorado Boulder
  • Human Genetics Center
  • University of Texas Health Science Center at Houston
  • Department of Biological Psychology
  • Vrije Universiteit Amsterdam
  • Department of Biochemistry
  • Wake Forest University
  • Division of Sleep and Circadian Disorders
  • Division of Sleep Medicine
  • Harvard University
  • Program in Medical and Population Genetics
  • Broad Institute
  • Institute for Translational Genomics and Population Sciences
  • The Lundquist Institute
  • University of Oxford
  • University of California at San Francisco
  • Division of Pulmonary and Critical Care Medicine
  • Kaiser Permanente
  • Department of Neurology
  • Department of Veterans Affairs
  • Division of Vascular Neurology
  • University of Maryland, Baltimore
  • Department of Preventive Medicine
  • Northwestern University
  • University of Sassari
  • Division of Clinical Trials and Biostatistics
  • Department of Psychiatry
  • University of Utah
  • Virginia Commonwealth University

Research output: Contribution to journalArticlepeer-review

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
DOIs
Publication statusPublished - 22 Dec 2022
Externally publishedYes

Keywords

  • Disease
  • Model
  • Neurotrophic factors
  • Prediction
  • Protein

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