Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China.
Transl Psychiatry. 2023 Mar 11;13(1):90. doi: 10.1038/s41398-023-02387-5.
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) 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.
杏仁核是大脑中至关重要的连接结构,执行多种调节功能,但它的遗传结构及其与大脑疾病的关系在很大程度上仍不清楚。我们对 27866 名英国生物库个体的杏仁核亚区体积进行了首次多变量全基因组关联研究(GWAS)。使用贝叶斯杏仁核分割将整个杏仁核分为九个核团。在 GWAS 后分析中,我们能够在 SNP、基因座和基因水平上识别表型的因果遗传变异,以及与大脑健康相关特征的遗传重叠。我们进一步在青少年大脑认知发展(ABCD)队列中推广了我们的 GWAS。多变量 GWAS 确定了 32 个基因组位点中的 98 个独立显著变异与杏仁核体积及其九个核团相关(P<5×10)。单变量 GWAS 确定了十个体积中的八个有显著关联的显著命中,标记了 14 个独立的基因组位点。总体而言,单变量 GWAS 中确定的 14 个独立基因座中的 13 个在多变量 GWAS 中得到了复制。在 ABCD 队列中的推广支持了 GWAS 结果,发现了 12q23.2(RNA 基因 RP11-210L7.1)。所有这些成像表型都是可遗传的,遗传率从 15%到 27%不等。基于基因的分析揭示了与细胞分化/发育和离子转运体/稳态相关的途径,发现星形胶质细胞显著富集。多效性分析显示,在联合 FDR 阈值为 0.05 下,与神经和精神疾病共享变异。这些发现提高了我们对杏仁核复杂遗传结构及其在神经和精神疾病中的相关性的理解。