Chen Tingan, Mandal Abhishek, Zhu Hongtu, Liu Rongjie
Department of Statistics, Florida State University, Tallahassee, FL, United States.
Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Front Neurosci. 2022 Apr 28;16:824069. doi: 10.3389/fnins.2022.824069. eCollection 2022.
The brain connectome maps the structural and functional connectivity that forms an important neurobiological basis for the analysis of human cognitive traits while the genetic predisposition and our cognition ability are frequently found in close association. The issue of how genetic architecture and brain connectome causally affect human behaviors remains unknown. To seek for the potential causal relationship, in this paper, we carried out the causal pathway analysis from single nucleotide polymorphism (SNP) data to four common human cognitive traits, mediated by the brain connectome. Specifically, we selected 942 SNPs that are significantly associated with the brain connectome, and then estimated the direct and indirect effect on the human traits for each SNP. We found out that a majority of the selected SNPs have significant direct effects on human traits and discussed the trait-related brain regions and their implications.
脑连接组描绘了结构和功能连接性，这构成了分析人类认知特征的重要神经生物学基础，而遗传易感性和我们的认知能力经常被发现密切相关。基因结构和脑连接组如何因果性地影响人类行为的问题仍然未知。为了寻找潜在的因果关系，在本文中，我们进行了从单核苷酸多态性（SNP）数据到四种常见人类认知特征的因果路径分析，由脑连接组介导。具体而言，我们选择了942个与脑连接组显著相关的SNP，然后估计每个SNP对人类特征的直接和间接影响。我们发现，大多数选定的SNP对人类特征有显著的直接影响，并讨论了与特征相关的脑区及其意义。
