大脑功能和结构网络的全基因组关联研究

IF 3.6 3区 医学 Q2 NEUROSCIENCES
Ruonan Cheng, Ruochen Yin, Xiaoyu Zhao, Wei Wang, Gaolang Gong, Chuansheng Chen, Gui Xue, Q. Dong, Chunhui Chen
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引用次数: 0

摘要

大样本成像遗传学研究发现了许多与大脑功能和结构相关的基因,但对与大脑功能和结构网络特性相关的基因却知之甚少。目前的全基因组关联研究(GWAS)对 497 名健康的中国参与者(17-28 岁)进行了大脑结构和功能网络的图论测量。研究发现四个基因(TGFB3、LGI1、TSPAN18 和 FAM155A)与功能网络的全局效率显著相关,两个基因(NLRP6 和 ICE2)与结构网络的全局效率显著相关。对大脑结构和功能网络特性的元分析证实了 4 个功能相关基因,并发现了另外两个基因(RBFOX1 和 WWOX)。据报道,在英国生物库项目中,这两个基因与区域大脑结构或功能测量结果明显相关;根据艾伦人类大脑图谱基因表达数据,低结构-功能耦合区域和高结构-功能耦合区域的基因表达水平存在差异。综上所述,我们的研究结果表明,大脑结构和功能网络具有共享和独特的遗传基础,这与大脑多对多结构-功能耦合的概念是一致的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genome-wide association study of brain functional and structural networks
Imaging genetics studies with large samples have identified many genes associated with brain functions and structures, but little is known about genes associated with brain functional and structural network properties. The current genome-wide association study (GWAS) examined graph theory measures of brain structural and functional networks with 497 healthy Chinese participants (17-28 years). Four genes (TGFB3, LGI1, TSPAN18 and FAM155A) were identified significantly associated with functional network global efficiency, two (NLRP6 and ICE2) with structural network global efficiency. Meta-analysis of structural and functional brain network property confirmed the 4 functional related genes and revealed two more (RBFOX1 and WWOX). They were reported significantly associated with regional brain structural or functional measurements in the UK Biobank project; and showed differential gene expression level between low and high structure-function coupling regions according to Allen Human Brain Atlas gene expression data. Taken together, our results suggest that brain structural and functional networks had shared and unique genetic bases, consistent with the notion of many-to-many structure-function coupling of the brain.
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来源期刊
Network Neuroscience
Network Neuroscience NEUROSCIENCES-
CiteScore
6.40
自引率
6.40%
发文量
68
审稿时长
16 weeks
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