遗传

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基于“中国慢性病前瞻性研究”的遗传资源建设与应用【专刊】

王文秀1,黄涛1,李立明1,2   

  1. 1北京大学公共卫生学院流行病与卫生统计学系,北京 100191

    2北京大学公众健康与重大疫情防控战略研究中心,北京 100191

  • 收稿日期:2021-07-19 修回日期:2021-09-10 出版日期:2021-09-13 发布日期:2021-09-13
  • 通讯作者: 黄涛
  • 基金资助:
    国家重点研发计划

Construction and application of human genetic resources in the China Kadoorie Biobank

Wenxiu Wang1, Tao Huang1, Liming Li1,2   

  1. 1 Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China

    2 Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China

  • Received:2021-07-19 Revised:2021-09-10 Online:2021-09-13 Published:2021-09-13
  • Contact: Tao -Huang

摘要: 目前中国慢性病负担沉重,加快推进慢性病早期预防的研究迫在眉睫。大型人群队列是慢性病病因学研究的首要设计之一,有助于人们寻找到切实可行的慢性病干预措施。同时,从大型人群队列的基因水平阐明危险因素与疾病的遗传关联,也可开辟一条研究流行病学中因果关系的新途径。本文对由中国医学科学院、北京大学和英国牛津大学联合开展的“中国慢性病前瞻性研究”项目China Kadoorie Biobank(CKB)进行了推介,重点介绍了该项目遗传数据资源的建设进展以及近年来发表的遗传学研究成果,以期为我国大型人群队列遗传资源的深入挖掘与利用提供参考。

关键词: 中国慢性病前瞻性研究, 遗传资源, 生物样本库, 大型人群队列

Abstract: China is facing a heavy burden of chronic diseases, so it is urgent to promote the relevant researches for early prevention of chronic diseases. Large population cohorts are one of the primary study designs for etiology evidence of chronic diseases, which are helpful to explore feasible intervention measures. Moreover, clarifying the genetic associations between risk factors and diseases from the genetic level of large population cohort can also open up a new way to the exploration of causality. This article aimed to introduce the study "China Kadoorie Biobank (CKB)" jointly carried out by the Chinese Academy of Medical Sciences, Peking University and University of Oxford, with emphasis on the construction progress of genetic resources and the recent published genetic studies, in order to provide reference for the in-depth mining and utilization of genetic resources in large population cohort in China.

Key words: China Kadoorie Biobank, Genetic resources, Biobank, Large population cohort