全外显子组测序确定了抑郁症状的六个新基因

IF 9.6 1区 医学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Molecular Psychiatry Pub Date : 2024-10-29 DOI:10.1038/s41380-024-02804-1
Ze-Yu Li, Chen-Jie Fei, Rui-Ying Yin, Ju-Jiao Kang, Qing Ma, Xiao-Yu He, Xin-Rui Wu, Yu-Jie Zhao, Wei Zhang, Wei-Shi Liu, Bang-Sheng Wu, Liu Yang, Ying Zhu, Jian-Feng Feng, Jin-Tai Yu, Wei Cheng
{"title":"全外显子组测序确定了抑郁症状的六个新基因","authors":"Ze-Yu Li, Chen-Jie Fei, Rui-Ying Yin, Ju-Jiao Kang, Qing Ma, Xiao-Yu He, Xin-Rui Wu, Yu-Jie Zhao, Wei Zhang, Wei-Shi Liu, Bang-Sheng Wu, Liu Yang, Ying Zhu, Jian-Feng Feng, Jin-Tai Yu, Wei Cheng","doi":"10.1038/s41380-024-02804-1","DOIUrl":null,"url":null,"abstract":"<p>Previous genome-wide association studies of depression have primarily focused on common variants, limiting our comprehensive understanding of the genetic architecture. In contrast, whole–exome sequencing can capture rare coding variants, helping to explore the phenotypic consequences of altering protein-coding genes. Here, we conducted a large-scale exome-wide association study on 296,199 participants from the UK Biobank, assessing their depressive symptom scores through the Patient Health Questionnaire-4. We identified 22 genes associated with depressive symptoms, including 6 newly discovered genes (<i>TRIM27</i>, <i>UBD</i>, <i>SVOP</i>, <i>ADGRB2</i>, <i>IRF2BPL</i>, and <i>ANKRD12</i>). Both ontology enrichment analysis and plasma proteomics association analysis consistently revealed that the identified genes were associated with immune responses. Furthermore, we identified associations between these genes and brain regions related to depression, such as anterior cingulate cortex and orbitofrontal cortex. Additionally, phenome-wide association analysis demonstrated that <i>TRIM27</i> and <i>UBD</i> were associated with neuropsychiatric, cognitive, biochemistry, and inflammatory traits. Our findings offer new insights into the potential mechanisms and genetic architecture of depressive symptoms.</p>","PeriodicalId":19008,"journal":{"name":"Molecular Psychiatry","volume":"31 1","pages":""},"PeriodicalIF":9.6000,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Whole exome sequencing identified six novel genes for depressive symptoms\",\"authors\":\"Ze-Yu Li, Chen-Jie Fei, Rui-Ying Yin, Ju-Jiao Kang, Qing Ma, Xiao-Yu He, Xin-Rui Wu, Yu-Jie Zhao, Wei Zhang, Wei-Shi Liu, Bang-Sheng Wu, Liu Yang, Ying Zhu, Jian-Feng Feng, Jin-Tai Yu, Wei Cheng\",\"doi\":\"10.1038/s41380-024-02804-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Previous genome-wide association studies of depression have primarily focused on common variants, limiting our comprehensive understanding of the genetic architecture. In contrast, whole–exome sequencing can capture rare coding variants, helping to explore the phenotypic consequences of altering protein-coding genes. Here, we conducted a large-scale exome-wide association study on 296,199 participants from the UK Biobank, assessing their depressive symptom scores through the Patient Health Questionnaire-4. We identified 22 genes associated with depressive symptoms, including 6 newly discovered genes (<i>TRIM27</i>, <i>UBD</i>, <i>SVOP</i>, <i>ADGRB2</i>, <i>IRF2BPL</i>, and <i>ANKRD12</i>). Both ontology enrichment analysis and plasma proteomics association analysis consistently revealed that the identified genes were associated with immune responses. Furthermore, we identified associations between these genes and brain regions related to depression, such as anterior cingulate cortex and orbitofrontal cortex. Additionally, phenome-wide association analysis demonstrated that <i>TRIM27</i> and <i>UBD</i> were associated with neuropsychiatric, cognitive, biochemistry, and inflammatory traits. Our findings offer new insights into the potential mechanisms and genetic architecture of depressive symptoms.</p>\",\"PeriodicalId\":19008,\"journal\":{\"name\":\"Molecular Psychiatry\",\"volume\":\"31 1\",\"pages\":\"\"},\"PeriodicalIF\":9.6000,\"publicationDate\":\"2024-10-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Molecular Psychiatry\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1038/s41380-024-02804-1\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molecular Psychiatry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1038/s41380-024-02804-1","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

以往的抑郁症全基因组关联研究主要关注常见变异,限制了我们对遗传结构的全面了解。相比之下,全外显子组测序可以捕获罕见的编码变异,有助于探索改变蛋白编码基因的表型后果。我们发现了22个与抑郁症状相关的基因,其中包括6个新发现的基因(TRIM27、UBD、SVOP、ADGRB2、IRF2BPL和ANKRD12)。本体富集分析和血浆蛋白质组学关联分析一致显示,所发现的基因与免疫反应有关。此外,我们还发现了这些基因与抑郁症相关脑区(如前扣带回皮层和眶额皮层)之间的关联。此外,全表型关联分析表明,TRIM27 和 UBD 与神经精神、认知、生物化学和炎症特征相关。我们的研究结果为抑郁症状的潜在机制和遗传结构提供了新的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Whole exome sequencing identified six novel genes for depressive symptoms

Previous genome-wide association studies of depression have primarily focused on common variants, limiting our comprehensive understanding of the genetic architecture. In contrast, whole–exome sequencing can capture rare coding variants, helping to explore the phenotypic consequences of altering protein-coding genes. Here, we conducted a large-scale exome-wide association study on 296,199 participants from the UK Biobank, assessing their depressive symptom scores through the Patient Health Questionnaire-4. We identified 22 genes associated with depressive symptoms, including 6 newly discovered genes (TRIM27, UBD, SVOP, ADGRB2, IRF2BPL, and ANKRD12). Both ontology enrichment analysis and plasma proteomics association analysis consistently revealed that the identified genes were associated with immune responses. Furthermore, we identified associations between these genes and brain regions related to depression, such as anterior cingulate cortex and orbitofrontal cortex. Additionally, phenome-wide association analysis demonstrated that TRIM27 and UBD were associated with neuropsychiatric, cognitive, biochemistry, and inflammatory traits. Our findings offer new insights into the potential mechanisms and genetic architecture of depressive symptoms.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Molecular Psychiatry
Molecular Psychiatry 医学-精神病学
CiteScore
20.50
自引率
4.50%
发文量
459
审稿时长
4-8 weeks
期刊介绍: Molecular Psychiatry focuses on publishing research that aims to uncover the biological mechanisms behind psychiatric disorders and their treatment. The journal emphasizes studies that bridge pre-clinical and clinical research, covering cellular, molecular, integrative, clinical, imaging, and psychopharmacology levels.
期刊最新文献
Dysregulation of neuropilin-2 expression in inhibitory neurons impairs hippocampal circuit development and enhances risk for autism-related behaviors and seizures Prefrontal parvalbumin interneurons mediate CRHR1-dependent early-life stress-induced cognitive deficits in adolescent male mice Prenatal immune origins of brain aging differ by sex The dopaminergic basis of negative symptoms in schizophrenia: an addendum Refining antipsychotic treatment strategies in schizophrenia: discovery of genetic biomarkers for enhanced drug response prediction
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1