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一项多变量全基因组关联研究揭示了精神病理学谱的神经关联和共同生物学机制。

A Multivariate Genome-Wide Association Study Reveals Neural Correlates and Common Biological Mechanisms of Psychopathology Spectra.

作者信息

Davis Christal, Khan Yousef, Toikumo Sylvanus, Jinwala Zeal, Boomsma D, Levey Daniel, Gelernter Joel, Kember Rachel, Kranzler Henry

机构信息

Crescenz VA Medical Center.

University of Pennsylvania Perelman School of Medicine.

出版信息

Res Sq. 2024 Apr 8:rs.3.rs-4228593. doi: 10.21203/rs.3.rs-4228593/v1.

Abstract

There is considerable comorbidity across externalizing and internalizing behavior dimensions of psychopathology. We applied genomic structural equation modeling (gSEM) to genome-wide association study (GWAS) summary statistics to evaluate the factor structure of externalizing and internalizing psychopathology across 16 traits and disorders among European-ancestry individuals (n's = 16,400 to 1,074,629). We conducted GWAS on factors derived from well-fitting models. Downstream analyses served to identify biological mechanisms, explore drug repurposing targets, estimate genetic overlap between the externalizing and internalizing spectra, and evaluate causal effects of psychopathology liability on physical health. Both a correlated factors model, comprising two factors of externalizing and internalizing risk, and a higher-order single-factor model of genetic effects contributing to both spectra demonstrated acceptable t. GWAS identified 409 lead single nucleotide polymorphisms (SNPs) associated with externalizing and 85 lead SNPs associated with internalizing, while the second-order GWAS identified 256 lead SNPs contributing to broad psychopathology risk. In bivariate causal mixture models, nearly all externalizing and internalizing causal variants overlapped, despite a genetic correlation of only 0.37 (SE = 0.02) between them. Externalizing genes showed cell-type specific expression in GABAergic, cortical, and hippocampal neurons, and internalizing genes were associated with reduced subcallosal cortical volume, providing insight into the neurobiological underpinnings of psychopathology. Genetic liability for externalizing, internalizing, and broad psychopathology exerted causal effects on pain, general health, cardiovascular diseases, and chronic illnesses. These findings underscore the complex genetic architecture of psychopathology, identify potential biological pathways for the externalizing and internalizing spectra, and highlight the physical health burden of psychiatric comorbidity.

摘要

精神病理学的外化和内化行为维度之间存在相当多的共病现象。我们将基因组结构方程模型(gSEM)应用于全基因组关联研究(GWAS)的汇总统计数据,以评估欧洲血统个体(样本量从16,400到1,074,629)中16种特质和疾病的外化和内化精神病理学的因素结构。我们对来自拟合良好模型的因素进行了GWAS。下游分析旨在确定生物学机制、探索药物重新利用靶点、估计外化和内化谱系之间的遗传重叠,并评估精神病理学易感性对身体健康的因果效应。一个包含外化和内化风险两个因素的相关因素模型,以及一个对两个谱系都有贡献的高阶单因素遗传效应模型,都显示出可接受的拟合度。GWAS确定了409个与外化相关的主要单核苷酸多态性(SNP)和85个与内化相关的主要SNP,而二阶GWAS确定了256个导致广泛精神病理学风险的主要SNP。在双变量因果混合模型中,几乎所有外化和内化的因果变异都有重叠,尽管它们之间的遗传相关性仅为0.37(标准误 = 0.02)。外化基因在GABA能、皮质和海马神经元中表现出细胞类型特异性表达,内化基因与胼胝体下皮质体积减小有关,这为精神病理学的神经生物学基础提供了见解。外化、内化和广泛精神病理学的遗传易感性对疼痛、总体健康、心血管疾病和慢性病产生了因果效应。这些发现强调了精神病理学复杂的遗传结构,确定了外化和内化谱系的潜在生物学途径,并突出了精神科共病对身体健康的负担。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f20/11042423/1c21c2bc8026/nihpp-rs4228593v1-f0001.jpg

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