The Chinese National Twin Registry: A Unique Data Source for Systems Epidemiology of Complex Disease. (11th December 2019)

• Record Type: Journal Article
• Authors: Huang, Tao; Gao, Wenjing; Lv, Jun; Yu, Canqing; Wu, Tao; Wang, Shengfeng; Liao, Chunxiao; Meng, Lu; Wang, Dongmeng; Wang, Zhaonian; Pang, Zengchang; Yu, Min; Wang, Hua; Wu, Xianping; Dong, Zhong; Wu, Fan; Jiang, Guohong; Wang, Xiaojie; Liu, Yu; Deng, Jian; Lu, Lin; Cao, Weihua; Li, Liming
• Editors: Hur, Yoon-Mi; Bogl, Leonie H.; Ordoñana, Juan R.; Taylor, Jeanette; Hart, Sara A.; Tuvblad, Catherine; Ystrom, Eivind; Dalgård, Christine; Skytthe, Axel; Willemsen, Gonneke
• Is Part Of: Twin research and human genetics. Volume 22:Number 6(2019)
• Page Start: 482
• Page End: 485
• Publication Date: 2019-12-11
• Subjects: Omic data, -- precision public health, -- systems epidemiology, -- twin discordance, -- twins; Twins -- Periodicals; Multiple birth -- Periodicals; 618.25
• DOI: 10.1017/thg.2019.85
• Languages: English
• ISSNs: 1832-4274

Abstract

Abstract: The Chinese National Twin Registry (CNTR), initiated in 2001, has now become the largest twin registry in Asia. From 2015 to 2018, the CNTR continued to receive Chinese government funding and had recruited 61, 566 twin-pairs by 2019 to study twins discordant for specific exposures such as environmental factors, and twins discordant for disease outcomes or measures of morbidity. Omic data, including genetics, genomics, metabolomics, and proteomics, and gut microbiome will be tested. The integration of omics and digital technologies in public health will advance our understanding of precision public health. This review introduces the updates of the CNTR, including study design, sample size, biobank, zygosity assessment, advances in research and future systems epidemiologic research.