CHIMGEN: a Chinese imaging genetics cohort to enhance cross-ethnic and cross-geographic brain research

• Published in: Molecular psychiatry 2020-03, Vol.25 (3), p.517-529
• Main Authors: Xu, Qiang, Guo, Lining, Cheng, Jingliang, Wang, Meiyun, Geng, Zuojun, Zhu, Wenzhen, Zhang, Bing, Liao, Weihua, Qiu, Shijun, Zhang, Hui, Xu, Xiaojun, Yu, Yongqiang, Gao, Bo, Han, Tong, Yao, Zhenwei, Cui, Guangbin, Liu, Feng, Qin, Wen, Zhang, Quan, Li, Mulin Jun, Liang, Meng, Chen, Feng, Xian, Junfang, Li, Jiance, Zhang, Jing, Zuo, Xi-Nian, Wang, Dawei, Shen, Wen, Miao, Yanwei, Yuan, Fei, Lui, Su, Zhang, Xiaochu, Xu, Kai, Zhang, Long Jiang, Ye, Zhaoxiang, Yu, Chunshui
• Format: Article
• Language: English
• Subjects: 45; 45/43; 59/36; 631/378; 692/699/476; Adult; Asian People - genetics; Behavioral Sciences; Biological Psychology; Brain; Brain - diagnostic imaging; Brain - metabolism; Brain - physiology; Brain research; China; Cohort Studies; Comparative analysis; Diagnostic imaging; Environmental factors; Ethnicity - genetics; Female; Genetics; Genomics - methods; Healthy Volunteers; Humans; Life span; Male; Medical imaging; Medical imaging equipment; Medicine; Medicine & Public Health; Neuroimaging; Neuroimaging - methods; Neurosciences; Perspective; Pharmacotherapy; Phenotypes; Prospective Studies; Psychiatry; Remote sensing
• ISSN: 1359-4184; 1476-5578
• DOI: 10.1038/s41380-019-0627-6

The Chinese Imaging Genetics (CHIMGEN) study establishes the largest Chinese neuroimaging genetics cohort and aims to identify genetic and environmental factors and their interactions that are associated with neuroimaging and behavioral phenotypes. This study prospectively collected genomic, neuroimaging, environmental, and behavioral data from more than 7000 healthy Chinese Han participants aged 18–30 years. As a pioneer of large-sample neuroimaging genetics cohorts of non-Caucasian populations, this cohort can provide new insights into ethnic differences in genetic-neuroimaging associations by being compared with Caucasian cohorts. In addition to micro-environmental measurements, this study also collects hundreds of quantitative macro-environmental measurements from remote sensing and national survey databases based on the locations of each participant from birth to present, which will facilitate discoveries of new environmental factors associated with neuroimaging phenotypes. With lifespan environmental measurements, this study can also provide insights on the macro-environmental exposures that affect the human brain as well as their timing and mechanisms of action.