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多血统个体超过 100 万人的问题性饮酒使用的遗传学研究。

Multi-ancestry study of the genetics of problematic alcohol use in over 1 million individuals.

机构信息

Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA.

Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA.

出版信息

Nat Med. 2023 Dec;29(12):3184-3192. doi: 10.1038/s41591-023-02653-5. Epub 2023 Dec 7.

Abstract

Problematic alcohol use (PAU), a trait that combines alcohol use disorder and alcohol-related problems assessed with a questionnaire, is a leading cause of death and morbidity worldwide. Here we conducted a large cross-ancestry meta-analysis of PAU in 1,079,947 individuals (European, N = 903,147; African, N = 122,571; Latin American, N = 38,962; East Asian, N = 13,551; and South Asian, N = 1,716 ancestries). We observed a high degree of cross-ancestral similarity in the genetic architecture of PAU and identified 110 independent risk variants in within- and cross-ancestry analyses. Cross-ancestry fine mapping improved the identification of likely causal variants. Prioritizing genes through gene expression and chromatin interaction in brain tissues identified multiple genes associated with PAU. We identified existing medications for potential pharmacological studies by a computational drug repurposing analysis. Cross-ancestry polygenic risk scores showed better performance of association in independent samples than single-ancestry polygenic risk scores. Genetic correlations between PAU and other traits were observed in multiple ancestries, with other substance use traits having the highest correlations. This study advances our knowledge of the genetic etiology of PAU, and these findings may bring possible clinical applicability of genetics insights-together with neuroscience, biology and data science-closer.

摘要

问题性饮酒(PAU)是一种特质,它结合了使用障碍和使用酒精相关问题的问卷评估,是全球范围内导致死亡和发病的主要原因。在这里,我们对 1079947 个人(欧洲,N=903147;非洲,N=122571;拉丁美洲,N=38962;东亚,N=13551;南亚,N=1716)进行了大规模的跨血统荟萃分析。我们观察到 PAU 的遗传结构在跨血统上具有高度相似性,并在血统内和血统间分析中确定了 110 个独立的风险变异。跨血统精细映射提高了可能的因果变异的识别。通过大脑组织中的基因表达和染色质相互作用对基因进行优先排序,确定了多个与 PAU 相关的基因。我们通过计算药物再利用分析,确定了针对潜在药物研究的现有药物。跨血统多基因风险评分在独立样本中的关联表现优于单一血统多基因风险评分。在多个血统中观察到 PAU 与其他特征之间的遗传相关性,其中其他物质使用特征具有最高的相关性。这项研究推进了我们对 PAU 的遗传病因的认识,这些发现可能使遗传学见解的可能临床应用——与神经科学、生物学和数据科学相结合——更接近实际。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fa2/10719093/fea69fa4787a/41591_2023_2653_Fig1_HTML.jpg

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