Ahn Yeeun, Kim Jaehyun, Jung Kyeongmin, Lee Dong June, Jung Jin Young, Eom Yewon, Park Sanghyeon, Kim Jaeyoung, Kim Hyejin, Jo Hyeonbin, Hong Sanghoon, O'Connell Kevin S, Andreassen Ole A, Myung Woojae, Won Hong-Hee
Department of Digital Health (Ahn, K. Jung, J.Y. Jung, Park, Jaeyoung Kim, H. Kim, Jo, Hong, Won) and Department of Health Sciences and Technology (Lee), Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea; Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, South Korea (Ahn, K. Jung, Park, Jaeyoung Kim, Myung); Department of Clinical Medical Sciences (Jaehyun Kim) and Department of Psychiatry (Eom, Myung), Seoul National University College of Medicine, Seoul, South Korea; Department of Medicine, Central Force for National Defense, Republic of Korea Army Personnel Command, Yongin, South Korea (Jaehyun Kim); Department of Neuropsychiatry, Seoul National University Hospital, Seoul, South Korea (Jaehyun Kim); Department of Psychiatry (J.Y. Jung) and Samsung Genome Institute (Won), Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, South Korea; Norwegian Center for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, Oslo (O'Connell, Andreassen); Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway (O'Connell, Andreassen).
Am J Psychiatry. 2025 May 7:appiajp20240095. doi: 10.1176/appi.ajp.20240095.
Problematic alcohol use (PAU) adversely affects the clinical course of psychiatric disorders. Genetic studies have suggested that genetic factors underlie the co-occurrence of PAU with psychiatric disorders. This study aimed to elucidate shared genetic architectures, prioritizing genes that disorders may have in common.
Using genome-wide association data of PAU including 435,563 samples from people of European ancestry, this study investigated the genetic relationship between PAU and 11 psychiatric disorders using a bivariate causal mixture model (MiXeR). Local genetic correlation and colocalization analyses were conducted to identify the genomic regions significantly associated with PAU and each psychiatric disorder. Postanalysis included the false discovery rate (FDR) and transcriptome-wide association studies (TWASs), as well as summary-data-based Mendelian randomization to prioritize shared genes by integrating brain transcriptome data.
MiXeR analysis revealed a substantial polygenic overlap (39%-73%) between PAU and psychiatric disorders. Four bivariate genomic regions with high correlations suggest shared causal variants of PAU with major depression and schizophrenia. Within these regions, four and six genes for the PAU-major depression and PAU-schizophrenia pairs, respectively, were mapped by conjunctional FDR analysis. Furthermore, and were identified as potential causal genes for PAU and these disorders. The findings were replicated in multi-ancestry analyses of colocalization and TWASs.
Despite the varying degrees of genetic overlap and directions of shared genetic effect correlations, these results imply the presence of shared genetic factors influencing the comorbidity of PAU and psychiatric disorders. Additionally, and , located near , may be causally associated with comorbid conditions.
问题性饮酒(PAU)对精神障碍的临床病程有不利影响。基因研究表明,基因因素是PAU与精神障碍共病的基础。本研究旨在阐明共同的基因结构,确定这些障碍可能共有的优先基因。
利用包括435,563例欧洲血统人群样本的PAU全基因组关联数据,本研究使用双变量因果混合模型(MiXeR)研究PAU与11种精神障碍之间的遗传关系。进行局部遗传相关性和共定位分析,以确定与PAU和每种精神障碍显著相关的基因组区域。分析后包括错误发现率(FDR)和全转录组关联研究(TWAS),以及基于汇总数据的孟德尔随机化,通过整合脑转录组数据确定共享基因的优先级。
MiXeR分析显示PAU与精神障碍之间存在大量多基因重叠(39%-73%)。四个具有高度相关性的双变量基因组区域表明PAU与重度抑郁症和精神分裂症存在共同的因果变异。在这些区域内,通过联合FDR分析分别定位了PAU-重度抑郁症和PAU-精神分裂症对的四个和六个基因。此外, 和 被确定为PAU和这些障碍的潜在因果基因。这些发现在校正和TWAS的多血统分析中得到了重复。
尽管遗传重叠程度和共享遗传效应相关性方向各不相同,但这些结果意味着存在影响PAU与精神障碍共病的共享遗传因素。此外,位于 附近的 和 可能与共病情况存在因果关联。