Ceja Zuriel, García-Marín Luis M, Hung I-Tzu, Medland Sarah E, Edwards Alexis C, Rentería Miguel E, Rabinowitz Jill A
Brain & Mental Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
School of Biomedical Sciences, Faculty of Health, Medicine and Behavioural Sciences, the University of Queensland, Brisbane, Australia.
Hum Brain Mapp. 2025 May;46(7):e70220. doi: 10.1002/hbm.70220.
Genome-wide association studies (GWAS) have uncovered genetic variants associated with suicide attempt (SA) risk and regional brain volumes (RBVs). However, the extent of their genetic overlap remains unclear. To address this, we investigated whether the genetic architecture of SA and various RBVs (i.e., caudate nucleus, hippocampus, brainstem, ventral diencephalon, thalamus, globus pallidus, putamen, nucleus accumbens, amygdala and intracranial volume (ICV)) was shared. We leveraged GWAS summary statistics from the largest available datasets on SA (N = 958,896) and intracranial and subcortical RBVs (N = 74,898). Using linkage disequilibrium score regression, we estimated genome-wide genetic correlations between SA and individual RBVs. GWAS-pairwise analyses identified genomic segments associated with both SA and RBVs, followed by functional annotation. Additionally, we examined whether polygenic scores (PGS) for SA were associated with ICV and subcortical brain structure phenotypes in youth of European ancestry (N = 5276) in the Adolescent Brain Cognitive Development (ABCD) study. Linkage disequilibrium score regression results indicated a significant genetic correlation between SA and ICV (rG = -0.10, p-value = 1.9 × 10-3). GWAS-pairwise analyses and functional annotation revealed 10 genomic segments associated with SA and at least one RBV (thalamus, putamen and caudate nucleus). After adjusting for multiple tests, PGS association analysis indicated that a higher PGS for SA was significantly associated with a smaller volume of the right nucleus accumbens (b = -7.05, p = 0.018). Our findings highlight a negative genetic correlation between SA and ICV amongst adults and suggest different neural correlates associated with genetic risk for SA across developmental periods. This study advances our understanding of the shared genetic underpinnings of SA and brain structure, potentially informing future research and clinical interventions.
全基因组关联研究(GWAS)已经发现了与自杀未遂(SA)风险和区域脑容量(RBV)相关的基因变异。然而,它们的遗传重叠程度仍不清楚。为了解决这个问题,我们研究了SA和各种RBV(即尾状核、海马体、脑干、腹侧间脑、丘脑、苍白球、壳核、伏隔核、杏仁核和颅内体积(ICV))的遗传结构是否共享。我们利用了来自关于SA(N = 958,896)以及颅内和皮质下RBV(N = 74,898)的最大可用数据集的GWAS汇总统计数据。使用连锁不平衡评分回归,我们估计了SA与各个RBV之间的全基因组遗传相关性。GWAS成对分析确定了与SA和RBV都相关的基因组片段,随后进行功能注释。此外,我们在青少年大脑认知发展(ABCD)研究中,检查了欧洲血统青年(N = 5276)中SA的多基因评分(PGS)是否与ICV和皮质下脑结构表型相关。连锁不平衡评分回归结果表明,SA与ICV之间存在显著的遗传相关性(rG = -0.10,p值 = 1.9×10-3)。GWAS成对分析和功能注释揭示了10个与SA和至少一种RBV(丘脑、壳核和尾状核)相关的基因组片段。在进行多次检验校正后,PGS关联分析表明,SA的较高PGS与右侧伏隔核体积较小显著相关(b = -7.05,p = 0.018)。我们的研究结果突出了成年人中SA与ICV之间的负遗传相关性,并表明在不同发育阶段与SA遗传风险相关的不同神经关联。这项研究推进了我们对SA和脑结构共享遗传基础的理解,可能为未来的研究和临床干预提供信息。