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全基因组关联研究揭示了人类大脑功能连接组的整体网络效率与血管成分之间存在强烈关联。

Genome-wide association study of the human brain functional connectome reveals strong vascular component underlying global network efficiency.

机构信息

Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.

出版信息

Sci Rep. 2022 Sep 2;12(1):14938. doi: 10.1038/s41598-022-19106-7.

Abstract

Complex brain networks play a central role in integrating activity across the human brain, and such networks can be identified in the absence of any external stimulus. We performed 10 genome-wide association studies of resting state network measures of intrinsic brain activity in up to 36,150 participants of European ancestry in the UK Biobank. We found that the heritability of global network efficiency was largely explained by blood oxygen level-dependent (BOLD) resting state fluctuation amplitudes (RSFA), which are thought to reflect the vascular component of the BOLD signal. RSFA itself had a significant genetic component and we identified 24 genomic loci associated with RSFA, 157 genes whose predicted expression correlated with it, and 3 proteins in the dorsolateral prefrontal cortex and 4 in plasma. We observed correlations with cardiovascular traits, and single-cell RNA specificity analyses revealed enrichment of vascular related cells. Our analyses also revealed a potential role of lipid transport, store-operated calcium channel activity, and inositol 1,4,5-trisphosphate binding in resting-state BOLD fluctuations. We conclude that that the heritability of global network efficiency is largely explained by the vascular component of the BOLD response as ascertained by RSFA, which itself has a significant genetic component.

摘要

复杂的大脑网络在整合人类大脑的活动方面起着核心作用,即使在没有任何外部刺激的情况下,也可以识别这些网络。我们对英国生物库中多达 36150 名欧洲血统的参与者的静息态网络固有脑活动测量值进行了 10 项全基因组关联研究。我们发现,全局网络效率的遗传性在很大程度上可以用血氧水平依赖(BOLD)静息态波动幅度(RSFA)来解释,后者被认为反映了 BOLD 信号的血管成分。RSFA 本身就具有显著的遗传成分,我们确定了与 RSFA 相关的 24 个基因组位置、与其相关的 157 个预测表达基因和 3 个位于背外侧前额叶皮层的蛋白质和 4 个在血浆中的蛋白质。我们观察到了与心血管特征的相关性,单细胞 RNA 特异性分析显示血管相关细胞丰富。我们的分析还揭示了脂质转运、钙库操纵型钙通道活性和肌醇 1,4,5-三磷酸结合在静息态 BOLD 波动中的潜在作用。我们得出结论,全局网络效率的遗传性在很大程度上可以用 RSFA 确定的 BOLD 反应的血管成分来解释,而 RSFA 本身就具有显著的遗传成分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c8a/9440133/4d2de07d0af6/41598_2022_19106_Fig1_HTML.jpg

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