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Construction and utilization of human genetic resources in large population cohorts

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  • 1. State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai 200433, China
    2. Fudan University Taizhou Institute of Health Sciences, Taizhou 225300, China
    3. Shanghai Information Center for Life Sciences, Chinese Academy of Sciences, Shanghai 200031, China
    4. Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai 200031, China

Received date: 2021-06-01

  Revised date: 2021-07-28

  Online published: 2021-09-10

Supported by

Supported by the National Key Research and Development Program of China Nos(2017YFC0907000);Supported by the National Key Research and Development Program of China Nos(2017YFC0907500);Supported by the National Key Research and Development Program of China Nos(2016YFC1201700);the National Natural Science Foundation of China No(91846302);the Shanghai Municipal Science and Technology Major Project No(2017SHZDZX01)

Abstract

In the era of big data and precision medicine, large population cohort studies are one of the preferred designs for studying the etiology of chronic diseases, and cohort genetic resources have become important strategic resources of China. Promoting the standardized construction and utilization of cohort genetic resources can effectively promote the original innovation of research and technological development in the field of biomedicine, and make full use of the rich genetic resources of China. To provide a reference for the construction and utilization of genetic resources in the cohort research in China, we took the Taizhou Longitudinal Study (TZL) as an example and introduced the principles, methods, standard system, and practical experience of the collection, preservation, and shared utilization of genetic resources in the process of the cohort construction.

Cite this article

Xingdong Chen, Yanfeng Jiang, Ping Xu, Li Jin . Construction and utilization of human genetic resources in large population cohorts[J]. Hereditas(Beijing), 2021 , 43(10) : 980 -987 . DOI: 10.16288/j.yczz.21-195

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