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对799429人的多变量、多组学分析确定了134个与躯体形式特征相关的基因座。

Multivariate, Multi-omic Analysis in 799,429 Individuals Identifies 134 Loci Associated with Somatoform Traits.

作者信息

Davis Christal N, Toikumo Sylvanus, Hatoum Alexander S, Khan Yousef, Pham Benjamin K, Pakala Shreya R, Feuer Kyra L, Gelernter Joel, Sanchez-Roige Sandra, Kember Rachel L, Kranzler Henry R

机构信息

Mental Illness Research, Education, and Clinical Center, Crescenz VAMC, Philadelphia, PA, USA.

Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA, USA.

出版信息

medRxiv. 2024 Jul 29:2024.07.29.24310991. doi: 10.1101/2024.07.29.24310991.

DOI:10.1101/2024.07.29.24310991
PMID:39132487
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11312645/
Abstract

Somatoform traits, which manifest as persistent physical symptoms without a clear medical cause, are prevalent and pose challenges to clinical practice. Understanding the genetic basis of these disorders could improve diagnostic and therapeutic approaches. With publicly available summary statistics, we conducted a multivariate genome-wide association study (GWAS) and multi-omic analysis of four somatoform traits-fatigue, irritable bowel syndrome, pain intensity, and health satisfaction-in 799,429 individuals genetically similar to Europeans. Using genomic structural equation modeling, GWAS identified 134 loci significantly associated with a somatoform common factor, including 44 loci not significant in the input GWAS and 8 novel loci for somatoform traits. Gene-property analyses highlighted an enrichment of genes involved in synaptic transmission and enriched gene expression in 12 brain tissues. Six genes, including members of the CD300 family, had putatively causal effects mediated by protein abundance. There was substantial polygenic overlap (76-83%) between the somatoform and externalizing, internalizing, and general psychopathology factors. Somatoform polygenic scores were associated most strongly with obesity, Type 2 diabetes, tobacco use disorder, and mood/anxiety disorders in independent biobanks. Drug repurposing analyses suggested potential therapeutic targets, including MEK inhibitors. Mendelian randomization indicated potentially protective effects of gut microbiota, including . These biological insights provide promising avenues for treatment development.

摘要

躯体形式特征表现为持续的身体症状且无明确的医学原因,较为普遍,给临床实践带来挑战。了解这些疾病的遗传基础有助于改进诊断和治疗方法。利用公开的汇总统计数据,我们对799,429名基因与欧洲人相似的个体进行了多变量全基因组关联研究(GWAS)以及对四种躯体形式特征——疲劳、肠易激综合征、疼痛强度和健康满意度——的多组学分析。通过基因组结构方程建模,GWAS确定了134个与躯体形式共同因素显著相关的位点,其中包括44个在输入的GWAS中不显著的位点以及8个躯体形式特征的新位点。基因特性分析突出了参与突触传递的基因富集以及12种脑组织中基因表达的富集。包括CD300家族成员在内的6个基因具有由蛋白质丰度介导的假定因果效应。躯体形式与外化、内化和一般精神病理学因素之间存在大量多基因重叠(76 - 83%)。在独立生物样本库中,躯体形式多基因评分与肥胖、2型糖尿病、烟草使用障碍以及情绪/焦虑障碍的关联最为强烈。药物再利用分析提示了潜在的治疗靶点,包括MEK抑制剂。孟德尔随机化表明肠道微生物群具有潜在的保护作用,包括……这些生物学见解为治疗开发提供了有前景的途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e64a/11312645/02a0f126aaaf/nihpp-2024.07.29.24310991v1-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e64a/11312645/7b3c2a7b2c7b/nihpp-2024.07.29.24310991v1-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e64a/11312645/3be17c038580/nihpp-2024.07.29.24310991v1-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e64a/11312645/806260c7ca0a/nihpp-2024.07.29.24310991v1-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e64a/11312645/ee3ed8e6543e/nihpp-2024.07.29.24310991v1-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e64a/11312645/0b45fca06098/nihpp-2024.07.29.24310991v1-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e64a/11312645/02a0f126aaaf/nihpp-2024.07.29.24310991v1-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e64a/11312645/7b3c2a7b2c7b/nihpp-2024.07.29.24310991v1-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e64a/11312645/3be17c038580/nihpp-2024.07.29.24310991v1-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e64a/11312645/806260c7ca0a/nihpp-2024.07.29.24310991v1-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e64a/11312645/ee3ed8e6543e/nihpp-2024.07.29.24310991v1-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e64a/11312645/0b45fca06098/nihpp-2024.07.29.24310991v1-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e64a/11312645/02a0f126aaaf/nihpp-2024.07.29.24310991v1-f0006.jpg

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