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 injury 1-4. These substances are used across the globe, yet genome-wide association studies have focused largely on individuals of European ancestries 5. 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 language | English |
|---|---|
| Pages (from-to) | 720-724 |
| Number of pages | 5 |
| Journal | Nature |
| Volume | 612 |
| Issue number | 7941 |
| DOIs | |
| Publication status | Published - 7 Dec 2022 |
Bibliographical note
© 2022. The Author(s).UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Research Groups and Themes
- TARG
Keywords
- Humans
- Genetic Predisposition to Disease/genetics
- Genetic Variation/genetics
- Genome-Wide Association Study/methods
- Multifactorial Inheritance/genetics
- Risk Factors
- Tobacco Use/genetics
- Alcohol Drinking/genetics
- Transcriptome
- Sample Size
- Genetic Loci/genetics
- Internationality
- Europe/ethnology
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