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The genetic architecture of human amygdala volumes and their overlap with common brain disorders
The amygdala is a crucial interconnecting structure in the brain that performs several regulatory functions, yet its genetic architectures and involvement in brain disorders remain largely unknown. We carried out the first multivariate genome-wide association study (GWAS) of amygdala subfield volume...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10008562/ https://www.ncbi.nlm.nih.gov/pubmed/36906575 http://dx.doi.org/10.1038/s41398-023-02387-5 |
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author | Ou, Ya-Nan Wu, Bang-Sheng Ge, Yi-Jun Zhang, Yi Jiang, Yu-Chao Kuo, Kevin Yang, Liu Tan, Lan Feng, Jian-Feng Cheng, Wei Yu, Jin-Tai |
author_facet | Ou, Ya-Nan Wu, Bang-Sheng Ge, Yi-Jun Zhang, Yi Jiang, Yu-Chao Kuo, Kevin Yang, Liu Tan, Lan Feng, Jian-Feng Cheng, Wei Yu, Jin-Tai |
author_sort | Ou, Ya-Nan |
collection | PubMed |
description | The amygdala is a crucial interconnecting structure in the brain that performs several regulatory functions, yet its genetic architectures and involvement in brain disorders remain largely unknown. We carried out the first multivariate genome-wide association study (GWAS) of amygdala subfield volumes in 27,866 UK Biobank individuals. The whole amygdala was segmented into nine nuclei groups using Bayesian amygdala segmentation. The post-GWAS analysis allowed us to identify causal genetic variants in phenotypes at the SNP, locus, and gene levels, as well as genetic overlap with brain health-related traits. We further generalized our GWAS in Adolescent Brain Cognitive Development (ABCD) cohort. The multivariate GWAS identified 98 independent significant variants within 32 genomic loci associated (P < 5 × 10(−8)) with amygdala volume and its nine nuclei. The univariate GWAS identified significant hits for eight of the ten volumes, tagging 14 independent genomic loci. Overall, 13 of the 14 loci identified in the univariate GWAS were replicated in the multivariate GWAS. The generalization in ABCD cohort supported the GWAS results with the 12q23.2 (RNA gene RP11-210L7.1) being discovered. All of these imaging phenotypes are heritable, with heritability ranging from 15% to 27%. Gene-based analyses revealed pathways relating to cell differentiation/development and ion transporter/homeostasis, with the astrocytes found to be significantly enriched. Pleiotropy analyses revealed shared variants with neurological and psychiatric disorders under the conjFDR threshold of 0.05. These findings advance our understanding of the complex genetic architectures of amygdala and their relevance in neurological and psychiatric disorders. |
format | Online Article Text |
id | pubmed-10008562 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-100085622023-03-13 The genetic architecture of human amygdala volumes and their overlap with common brain disorders Ou, Ya-Nan Wu, Bang-Sheng Ge, Yi-Jun Zhang, Yi Jiang, Yu-Chao Kuo, Kevin Yang, Liu Tan, Lan Feng, Jian-Feng Cheng, Wei Yu, Jin-Tai Transl Psychiatry Article The amygdala is a crucial interconnecting structure in the brain that performs several regulatory functions, yet its genetic architectures and involvement in brain disorders remain largely unknown. We carried out the first multivariate genome-wide association study (GWAS) of amygdala subfield volumes in 27,866 UK Biobank individuals. The whole amygdala was segmented into nine nuclei groups using Bayesian amygdala segmentation. The post-GWAS analysis allowed us to identify causal genetic variants in phenotypes at the SNP, locus, and gene levels, as well as genetic overlap with brain health-related traits. We further generalized our GWAS in Adolescent Brain Cognitive Development (ABCD) cohort. The multivariate GWAS identified 98 independent significant variants within 32 genomic loci associated (P < 5 × 10(−8)) with amygdala volume and its nine nuclei. The univariate GWAS identified significant hits for eight of the ten volumes, tagging 14 independent genomic loci. Overall, 13 of the 14 loci identified in the univariate GWAS were replicated in the multivariate GWAS. The generalization in ABCD cohort supported the GWAS results with the 12q23.2 (RNA gene RP11-210L7.1) being discovered. All of these imaging phenotypes are heritable, with heritability ranging from 15% to 27%. Gene-based analyses revealed pathways relating to cell differentiation/development and ion transporter/homeostasis, with the astrocytes found to be significantly enriched. Pleiotropy analyses revealed shared variants with neurological and psychiatric disorders under the conjFDR threshold of 0.05. These findings advance our understanding of the complex genetic architectures of amygdala and their relevance in neurological and psychiatric disorders. Nature Publishing Group UK 2023-03-11 /pmc/articles/PMC10008562/ /pubmed/36906575 http://dx.doi.org/10.1038/s41398-023-02387-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Ou, Ya-Nan Wu, Bang-Sheng Ge, Yi-Jun Zhang, Yi Jiang, Yu-Chao Kuo, Kevin Yang, Liu Tan, Lan Feng, Jian-Feng Cheng, Wei Yu, Jin-Tai The genetic architecture of human amygdala volumes and their overlap with common brain disorders |
title | The genetic architecture of human amygdala volumes and their overlap with common brain disorders |
title_full | The genetic architecture of human amygdala volumes and their overlap with common brain disorders |
title_fullStr | The genetic architecture of human amygdala volumes and their overlap with common brain disorders |
title_full_unstemmed | The genetic architecture of human amygdala volumes and their overlap with common brain disorders |
title_short | The genetic architecture of human amygdala volumes and their overlap with common brain disorders |
title_sort | genetic architecture of human amygdala volumes and their overlap with common brain disorders |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10008562/ https://www.ncbi.nlm.nih.gov/pubmed/36906575 http://dx.doi.org/10.1038/s41398-023-02387-5 |
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