上瘾
全基因组关联研究
大麻
物质使用
多元分析
单核苷酸多态性
多元统计
荟萃分析
精神科
遗传关联
遗传学
医学
生物
心理学
基因
内科学
计算机科学
基因型
机器学习
作者
Alexander S. Hatoum,Sarah M. C. Colbert,Emma C. Johnson,Spencer B. Huggett,Joseph D. Deak,Gita A. Pathak,Mariela Jennings,Sarah E. Paul,Nicole R. Karcher,Isabella Hansen,David A. A. Baranger,Alexis C. Edwards,Andrew D. Grotzinger,Daniel E. Adkins,Amy Adkins,Mervi Alanne-Kinnunen,Jeffry Alexander,Fazil Alıev,Silviu‐Alin Bacanu,Anthony Batzler
标识
DOI：10.1038/s44220-023-00034-y
摘要
Genetic liability to substance use disorders can be parsed into loci that confer general or substance-specific addiction risk. We report a multivariate genome-wide association meta-analysis that disaggregates general and substance-specific loci for published summary statistics of problematic alcohol use, problematic tobacco use, cannabis use disorder, and opioid use disorder in a sample of
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(2025-6-4)
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