Characterizing the phenotypic and genetic structure of psychopathology in UK Biobank

Camille M. Williams, Hugo Peyre, Tobias Wolfram, Younga H. Lee, Jakob Seidlitz, Tian Ge, Jordan W. Smoller, Travis T. Mallard, Franck Ramus
{"title":"Characterizing the phenotypic and genetic structure of psychopathology in UK Biobank","authors":"Camille M. Williams, Hugo Peyre, Tobias Wolfram, Younga H. Lee, Jakob Seidlitz, Tian Ge, Jordan W. Smoller, Travis T. Mallard, Franck Ramus","doi":"10.1038/s44220-024-00272-8","DOIUrl":null,"url":null,"abstract":"Mental health conditions are characterized by higher-order transdiagnostic factor structures, which may contribute to the high levels of comorbidity observed in psychopathology. However, the phenotypic and genetic structures of various psychopathology diagnoses may differ, raising questions about the validity and utility of these factors. Here we study the phenotypic and genetic factor structures of ten psychiatric conditions using UK Biobank and public genomic data. Although the factor structure of psychopathology was generally genetically and phenotypically consistent, conditions related to externalizing (for example, alcohol use disorder) and compulsivity (for example, eating disorders) exhibited cross-level disparities in their relationships with other conditions, possibly due to environmental influences. Domain-level factors, especially thought disorder and internalizing factors, were more informative than a general psychopathology factor in genome-wide association and polygenic index analyses. Collectively, our findings enhance the understanding of comorbidity and shared etiology, highlight the intricate interplay between genes and environment, and offer guidance for psychiatric research using polygenic indices. In this study using UK Biobank and genomic data, the phenotypic and genetic factor structures across ten psychiatric conditions are analyzed, finding general genetic and phenotypic consistency but greater potential gene and environment disparities in conditions associated with externalizing disorders.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 8","pages":"960-974"},"PeriodicalIF":0.0000,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature mental health","FirstCategoryId":"1085","ListUrlMain":"https://www.nature.com/articles/s44220-024-00272-8","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Mental health conditions are characterized by higher-order transdiagnostic factor structures, which may contribute to the high levels of comorbidity observed in psychopathology. However, the phenotypic and genetic structures of various psychopathology diagnoses may differ, raising questions about the validity and utility of these factors. Here we study the phenotypic and genetic factor structures of ten psychiatric conditions using UK Biobank and public genomic data. Although the factor structure of psychopathology was generally genetically and phenotypically consistent, conditions related to externalizing (for example, alcohol use disorder) and compulsivity (for example, eating disorders) exhibited cross-level disparities in their relationships with other conditions, possibly due to environmental influences. Domain-level factors, especially thought disorder and internalizing factors, were more informative than a general psychopathology factor in genome-wide association and polygenic index analyses. Collectively, our findings enhance the understanding of comorbidity and shared etiology, highlight the intricate interplay between genes and environment, and offer guidance for psychiatric research using polygenic indices. In this study using UK Biobank and genomic data, the phenotypic and genetic factor structures across ten psychiatric conditions are analyzed, finding general genetic and phenotypic consistency but greater potential gene and environment disparities in conditions associated with externalizing disorders.

Abstract Image

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
英国生物数据库中精神病理学的表型和遗传结构特征
精神健康状况的特点是具有高阶跨诊断因子结构,这可能是导致精神病理学中观察到的高水平合并症的原因。然而,各种精神病理学诊断的表型和遗传结构可能有所不同,这就对这些因子的有效性和实用性提出了质疑。在此,我们利用英国生物库和公共基因组数据研究了十种精神疾病的表型和遗传因素结构。虽然精神病理学的因子结构在遗传和表型上基本一致,但与外化(如酒精使用障碍)和强迫(如饮食失调)相关的病症在与其他病症的关系上表现出跨层次的差异,这可能是受环境影响所致。在全基因组关联分析和多基因指数分析中,领域级因素,尤其是思维障碍和内化因素,比一般精神病理学因素更有参考价值。总之,我们的研究结果加深了人们对合并症和共同病因的理解,强调了基因与环境之间错综复杂的相互作用,并为使用多基因指数进行精神病学研究提供了指导。本研究利用英国生物库和基因组数据,分析了十种精神疾病的表型和遗传因素结构,发现遗传和表型具有普遍一致性,但在与外化障碍相关的疾病中,潜在的基因和环境差异更大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Improving refugee mental health through resilience and research A health-equity framework for tailoring digital non-pharmacological interventions in aging Strengthening autonomy in mental health care through a relational approach A dual-continuum framework to evaluate climate change impacts on mental health New insights from gene expression patterns on the neurobiological basis of risky behavior
×
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