Maryanne Mufford , Dennis van der Meer , Nynke Groenewold , Manuel Mattheisen , John Hettema , Rajendra Morey , Dan Stein
{"title":"焦虑症的遗传风险和大脑结构之间的联系","authors":"Maryanne Mufford , Dennis van der Meer , Nynke Groenewold , Manuel Mattheisen , John Hettema , Rajendra Morey , Dan Stein","doi":"10.1016/j.euroneuro.2025.08.464","DOIUrl":null,"url":null,"abstract":"<div><div>Anxiety disorders have been associated with structural differences in various brain regions, including alterations in cortical and subcortical morphology and white matter integrity. Despite growing evidence from neuroimaging studies, the degree to which these neural features are genetically linked to anxiety remains insufficiently understood. Elucidating the shared genetic architecture between anxiety and brain morphology is critical for uncovering the biological mechanisms that contribute to individual differences in vulnerability and expression of these conditions.</div><div>In this study, we investigated the shared genetic architecture between anxiety and brain structure by integrating genome-wide association data from PGC-Anxiety (N = 122,341) and imaging-genetic data from the UK Biobank. The neuroimaging data included 196 global and regional brain phenotypes derived from structural MRI and diffusion tensor imaging, covering cortical thickness, surface area, subcortical volumes, and measures of white matter microstructure such as fractional anisotropy and mean diffusivity.</div><div>To quantify the extent of shared genetic influences, we employed several complementary statistical approaches. Linkage disequilibrium score regression (LDSC) was used to estimate genome-wide genetic correlations between anxiety and brain morphology. MiXeR was applied to characterize the polygenic overlap, estimating the number of shared and trait-specific variants. Additionally, conditional false discovery rate (condFDR) analysis was conducted to identify genomic loci jointly associated with anxiety and brain phenotypes, increasing statistical power by leveraging pleiotropy and utilising mixed effect directions. All analyses were performed at both global and regional levels to identify brain structures most strongly implicated in the shared genetic architecture.</div><div>Our findings highlight significant genetic correlations and overlapping loci between anxiety and multiple brain phenotypes, providing novel insights into the biological pathways that underpin anxiety risk. These results suggest that structural variation in specific brain regions may reflect underlying genetic vulnerability to anxiety and could represent intermediate phenotypes that bridge genetic risk and clinical presentation.</div></div>","PeriodicalId":12049,"journal":{"name":"European Neuropsychopharmacology","volume":"99 ","pages":"Page 5"},"PeriodicalIF":6.7000,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"CONNECTING GENETIC RISK AND BRAIN STRUCTURE IN ANXIETY DISORDERS\",\"authors\":\"Maryanne Mufford , Dennis van der Meer , Nynke Groenewold , Manuel Mattheisen , John Hettema , Rajendra Morey , Dan Stein\",\"doi\":\"10.1016/j.euroneuro.2025.08.464\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Anxiety disorders have been associated with structural differences in various brain regions, including alterations in cortical and subcortical morphology and white matter integrity. Despite growing evidence from neuroimaging studies, the degree to which these neural features are genetically linked to anxiety remains insufficiently understood. Elucidating the shared genetic architecture between anxiety and brain morphology is critical for uncovering the biological mechanisms that contribute to individual differences in vulnerability and expression of these conditions.</div><div>In this study, we investigated the shared genetic architecture between anxiety and brain structure by integrating genome-wide association data from PGC-Anxiety (N = 122,341) and imaging-genetic data from the UK Biobank. The neuroimaging data included 196 global and regional brain phenotypes derived from structural MRI and diffusion tensor imaging, covering cortical thickness, surface area, subcortical volumes, and measures of white matter microstructure such as fractional anisotropy and mean diffusivity.</div><div>To quantify the extent of shared genetic influences, we employed several complementary statistical approaches. Linkage disequilibrium score regression (LDSC) was used to estimate genome-wide genetic correlations between anxiety and brain morphology. MiXeR was applied to characterize the polygenic overlap, estimating the number of shared and trait-specific variants. Additionally, conditional false discovery rate (condFDR) analysis was conducted to identify genomic loci jointly associated with anxiety and brain phenotypes, increasing statistical power by leveraging pleiotropy and utilising mixed effect directions. All analyses were performed at both global and regional levels to identify brain structures most strongly implicated in the shared genetic architecture.</div><div>Our findings highlight significant genetic correlations and overlapping loci between anxiety and multiple brain phenotypes, providing novel insights into the biological pathways that underpin anxiety risk. These results suggest that structural variation in specific brain regions may reflect underlying genetic vulnerability to anxiety and could represent intermediate phenotypes that bridge genetic risk and clinical presentation.</div></div>\",\"PeriodicalId\":12049,\"journal\":{\"name\":\"European Neuropsychopharmacology\",\"volume\":\"99 \",\"pages\":\"Page 5\"},\"PeriodicalIF\":6.7000,\"publicationDate\":\"2025-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Neuropsychopharmacology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0924977X25006224\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Neuropsychopharmacology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0924977X25006224","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
CONNECTING GENETIC RISK AND BRAIN STRUCTURE IN ANXIETY DISORDERS
Anxiety disorders have been associated with structural differences in various brain regions, including alterations in cortical and subcortical morphology and white matter integrity. Despite growing evidence from neuroimaging studies, the degree to which these neural features are genetically linked to anxiety remains insufficiently understood. Elucidating the shared genetic architecture between anxiety and brain morphology is critical for uncovering the biological mechanisms that contribute to individual differences in vulnerability and expression of these conditions.
In this study, we investigated the shared genetic architecture between anxiety and brain structure by integrating genome-wide association data from PGC-Anxiety (N = 122,341) and imaging-genetic data from the UK Biobank. The neuroimaging data included 196 global and regional brain phenotypes derived from structural MRI and diffusion tensor imaging, covering cortical thickness, surface area, subcortical volumes, and measures of white matter microstructure such as fractional anisotropy and mean diffusivity.
To quantify the extent of shared genetic influences, we employed several complementary statistical approaches. Linkage disequilibrium score regression (LDSC) was used to estimate genome-wide genetic correlations between anxiety and brain morphology. MiXeR was applied to characterize the polygenic overlap, estimating the number of shared and trait-specific variants. Additionally, conditional false discovery rate (condFDR) analysis was conducted to identify genomic loci jointly associated with anxiety and brain phenotypes, increasing statistical power by leveraging pleiotropy and utilising mixed effect directions. All analyses were performed at both global and regional levels to identify brain structures most strongly implicated in the shared genetic architecture.
Our findings highlight significant genetic correlations and overlapping loci between anxiety and multiple brain phenotypes, providing novel insights into the biological pathways that underpin anxiety risk. These results suggest that structural variation in specific brain regions may reflect underlying genetic vulnerability to anxiety and could represent intermediate phenotypes that bridge genetic risk and clinical presentation.
期刊介绍:
European Neuropsychopharmacology is the official publication of the European College of Neuropsychopharmacology (ECNP). In accordance with the mission of the College, the journal focuses on clinical and basic science contributions that advance our understanding of brain function and human behaviour and enable translation into improved treatments and enhanced public health impact in psychiatry. Recent years have been characterized by exciting advances in basic knowledge and available experimental techniques in neuroscience and genomics. However, clinical translation of these findings has not been as rapid. The journal aims to narrow this gap by promoting findings that are expected to have a major impact on both our understanding of the biological bases of mental disorders and the development and improvement of treatments, ideally paving the way for prevention and recovery.