大脑皮层下形态测定与儿童和成人自杀企图风险之间的遗传联系

IF 3.5 2区 医学 Q1 NEUROIMAGING
Zuriel Ceja, Luis M. García-Marín, I-Tzu Hung, Sarah E. Medland, Alexis C. Edwards, Miguel E. Rentería, Jill A. Rabinowitz
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引用次数: 0

摘要

全基因组关联研究(GWAS)揭示了与自杀企图(SA)风险和区域脑容量(RBVs)相关的遗传变异。然而,他们基因重叠的程度仍不清楚。为了解决这个问题,我们研究了SA和各种rbv(即尾状核、海马、脑干、腹侧间脑、丘脑、苍白球、壳核、伏隔核、杏仁核和颅内容积(ICV))的遗传结构是否相同。我们利用了来自最大可用数据集的GWAS汇总统计数据,包括SA (N = 958,896)和颅内和皮质下RBVs (N = 74,898)。利用连锁不平衡评分回归,我们估计了SA与个体RBVs之间的全基因组遗传相关性。gwas两两分析确定了与SA和RBVs相关的基因组片段,随后进行了功能注释。此外,在青少年大脑认知发展(ABCD)研究中,我们研究了欧洲血统青年(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显示,SA与ICV具有显著的遗传相关性(rG =−0.10,p值= 1.9 × 10-3)。gwas两两分析和功能注释揭示了与SA和至少一个RBV(丘脑、壳核和尾状核)相关的10个基因组片段。经多项试验调整后,PGS相关性分析显示,SA的PGS值越高,右侧伏隔核体积越小(b =−7.05,p = 0.018)。我们的研究结果强调了成人中SA和ICV之间的负遗传相关性,并表明不同发育时期SA的遗传风险与不同的神经相关。这项研究促进了我们对SA和大脑结构的共同遗传基础的理解,可能为未来的研究和临床干预提供信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genetic Links Between Subcortical Brain Morphometry and Suicide Attempt Risk in Children and Adults

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.

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来源期刊
Human Brain Mapping
Human Brain Mapping 医学-核医学
CiteScore
8.30
自引率
6.20%
发文量
401
审稿时长
3-6 weeks
期刊介绍: Human Brain Mapping publishes peer-reviewed basic, clinical, technical, and theoretical research in the interdisciplinary and rapidly expanding field of human brain mapping. The journal features research derived from non-invasive brain imaging modalities used to explore the spatial and temporal organization of the neural systems supporting human behavior. Imaging modalities of interest include positron emission tomography, event-related potentials, electro-and magnetoencephalography, magnetic resonance imaging, and single-photon emission tomography. Brain mapping research in both normal and clinical populations is encouraged. Article formats include Research Articles, Review Articles, Clinical Case Studies, and Technique, as well as Technological Developments, Theoretical Articles, and Synthetic Reviews. Technical advances, such as novel brain imaging methods, analyses for detecting or localizing neural activity, synergistic uses of multiple imaging modalities, and strategies for the design of behavioral paradigms and neural-systems modeling are of particular interest. The journal endorses the propagation of methodological standards and encourages database development in the field of human brain mapping.
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