功能磁共振成像
丘脑
单核苷酸多态性
神经科学
精神分裂症(面向对象编程)
心理学
生物
遗传学
基因
精神科
基因型
作者
Qiang Wang,Wei Cheng,Miaoxin Li,Hongyan Ren,Xun Hu,Wei Deng,Zhen-Liang Xu,Liansheng Zhao,Y. Wang,B. Xiang,H.-M. Wu,Pak C. Sham,Jianfeng Feng,Tao Li
标识
DOI:10.1017/s0033291716000167
摘要
Background The genetic influences in human brain structure and function and impaired functional connectivities are the hallmarks of the schizophrenic brain. To explore how common genetic variants affect the connectivities in schizophrenia, we applied genome-wide association studies assaying the abnormal neural connectivities in schizophrenia as quantitative traits. Method We recruited 161 first-onset and treatment-naive patients with schizophrenia and 150 healthy controls. All the participants underwent scanning with a 3 T-magnetic resonance imaging scanner to acquire structural and functional imaging data and genotyping using the HumanOmniZhongHua-8 BeadChip. The brain-wide association study approach was employed to account for the inherent modular nature of brain connectivities. Results We found differences in four abnormal functional connectivities [left rectus to left thalamus (REC.L–THA.L), left rectus to right thalamus (REC.L–THA.R), left superior orbital cortex to left thalamus (ORBsup.L–THA.L) and left superior orbital cortex to right thalamus (ORBsup.L–THA.R)] between the two groups. Univariate single nucleotide polymorphism (SNP)-based association revealed that the SNP rs6800381, located nearest to the CHRM3 (cholinergic receptor, muscarinic 3) gene, reached genomic significance ( p = 1.768 × 10 −8 ) using REC.L–THA.R as the phenotype. Multivariate gene-based association revealed that the FAM12A (family with sequence similarity 12, member A) gene nearly reached genomic significance (nominal p = 2.22 × 10 –6 , corrected p = 0.05). Conclusions Overall, we identified the first evidence that the CHRM3 gene plays a role in abnormal thalamo-orbital frontal cortex functional connectivity in first-episode treatment-naive patients with schizophrenia. Identification of these genetic variants using neuroimaging genetics provides insights into the causes of variability in human brain development, and may help us determine the mechanisms of dysfunction in schizophrenia.
科研通智能强力驱动
Strongly Powered by AbleSci AI