全基因组关联研究
遗传建筑学
生物
多基因风险评分
遗传多样性
遗传谱系
遗传学
基因座(遗传学)
进化生物学
遗传关联
计算生物学
数量性状位点
单核苷酸多态性
基因
环境卫生
基因型
医学
人口
作者
Gretchen Saunders,Xingyan Wang,Fang Chen,Seon-Kyeong Jang,Mengzhen Liu,Chen Wang,Shuang Gao,Yu Jiang,Chachrit Khunsriraksakul,Jacqueline M. Otto,Clifton Addison,Masato Akiyama,Christine M. Albert,Fazil Alıev,Álvaro Alonso,Donna K. Arnett,Allison E. Ashley‐Koch,Aneel A. Ashrani,Kathleen C. Barnes,R. Graham Barr
出处
期刊:Nature
[Nature Portfolio]
日期:2022-12-07
卷期号:612 (7941): 720-724
被引量:334
标识
DOI:10.1038/s41586-022-05477-4
摘要
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.
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