The CKB project aims to establish a blood-based database to study the risk factors, mechanisms, epidemiological characteristics and trends of the major chronic diseases in Chinese population from genetic, environmental and lifestyle aspects., then to provide a scientific evidences for effective measures and new treatments in chronic disease prevention and control.

  • General Information of Study
    • Overview
      Name China Kadoorie Biobank(CKB)
      Project Number CCC2017051702
      Website https://www.kscdc.net/CKBweb/CKB_publicIndex http://www.ckbiobank.org/site/
      Investigators
      NCC:LI Liming
      ICC: CHEN Zhengming
      Institutions China: Peking University /CAMS; UK: CTSU, Oxford University
      Contacts
      Lv Jun
      Funding the National Natural Science Foundation of China (81390540) the National Key Technologies Research (2011BAI09B01) the National Key Research and Development Program for Precision Medicine of China (2016YFC0900500) the Wellcome Trust in the UK (202922/Z/16/Z, 088158/Z/09/Z, 104085/Z/14/Z) the Kadoorie Charitable Foundation in Hong Kong
      Objectives The CKB project aims to establish a blood-based database to study the risk factors, mechanisms, epidemiological characteristics and trends of the major chronic diseases in Chinese population from genetic, environmental and lifestyle aspects., then to provide a scientific evidences for effective measures and new treatments in chronic disease prevention and control.
      Start Date Baseline survey started in June 2004
      End Date Long-term follow up
    • Study Design
      Number of Participants 512891
      Age Range 30-79
      Geographic Distribution 10 areas:five urban (Qingdao, Harbin, Haikou, Suzhou, and Liuzhou) and five rural (Sichuan, Gansu, Henan, Zhejiang, and Hunan)
      General Information of Study Design and Sample Methods The study was conducted by rural villages or urban residential committees, whic was chosen according to local disease patterns, exposure to certain risk factors, population stability, quality of death and disease registries, local commitment and capacity. For the baseline survey, a Regional Coordinating Centre (RCC) and survey team, consisting of about 15 full-time staff with medical qualifications and fieldwork experience, were established in each of the 10 study areas. Potentially eligible participants in each of 100–150 administrative units selected for the study within each region were identified through official residential records, and invitation letters (with study information leaflets) were delivered door-todoor by local community leaders or health workers, following extensive publicity campaigns.The study cohort is not designed to be representative of the general population (although within each study area the participants will be relatively unselected). Rather, it is planned that study areas will include several particular regions throughout China, with quite different disease profiles and quite different exposures.
      Inclusion Criteria 1. all men and women aged 30–79
      2. permanently resident for complete follow-up of mortality and morbidity
      3. without major disability
      4. provide writtern inform consent
      5. allows access to their medical records and long-term storage of blood for anonymized and non-specified medical research purposes
      Exclusion Criteria 1. Temporary residents or floating population;
      2. Troops and its staff members (including retirees) stationed in the investigation site;
      3. those who were not willing to cooperate of collecting blood sample;
      4. without written inform consent.
    • Other Information
      Key Achievements The CKB has enrolled 510 thousand participants with baseline questionnaire, physical examination, and blood samples from all participants for research on disease causes and relevant risk factors. It’s one of the largest cohort on general population and blood-based biobank, and provided valuable evidence on major common chronic diseases and its risk factors for both China and the world.
      Baseline was conducted in 5 urban and 5 rural areas, each area recruited 50 thousand participants for long term follow up, it is a valuable source of population development and changes in socio-economic transition period, disease spectrum and its risk factors.
      The baseline survey has accumulated a set of advanced technology and experiences of efficiently and orderly carrying out large-scale field survey work in China, trained a professional team to carry out large-scale epidemiological investigation and quality control in the urban and rural areas, which has accumulated rich experience for the development of similar projects in the future.
      Furthermore, CKB improved the chronic disease prevention and control between the provincial and regional area. Many provincial health administrative department built their study area into a demonstration base as a comprehensive study on chronic diseases by combining the project with routine work on chronic disease prevention and control, which enhanced the support on chronic diseases prevention and control, and eventually improved the overall level of chronic disease the prevention and control in China.
      Marker Papers 1、Jun Lv,Lu Qi,Canqing Yu,Ling Yang,Yu Guo,Yiping Chen,Zheng Bian,Dianjianyi Sun,Jianwei Du,Pengfei Ge,Zhenzhu Tang,Wei Hou,Yanjie Li,Junshi Chen,Zhengming Chen,Liming Li. Consumption of spicy foods and total and cause specific mortality: population based cohort study. British Medical Journal. 2015;351:h3942;
      2、Zhengming Chen, Richard Peto, Maigeng Zhou, Andri Iona, Margaret Smith, Ling Yang, Yu Guo, Yiping Chen, Zheng Bian, Garry Lancaster, Paul Sherliker, Shutao Pang, Hao Wang, Hua Su, Ming Wu, Xianping Wu, Junshi Chen, Rory Collins, Liming Li, for the China Kadoorie Biobank (CKB) collaborative group; Contrasting male and female trends in tobacco-attributed mortality in China: evidence from successive nationwide prospective cohort studies.The Lancet.2015:386(10002)1447-1556
      3、Du H, Li L, Bennett D, Guo Y, Key T, Bian Z, Sherliker P, Gao H, Chen Y, Yang L, Chen J, Wang S, Du R, Su H, Collins R, Peto R, Chen Z, for the China Kadoorie Biobank Collaborative Group. Fresh fruit consumption and major cardiovascular disease in China. N Engl J Med 2016, 374;14 1332-1343
      4、Bragg F, Holmes MV,Iona A, Guo Y, Du H, Chen Y, Bian Z, Yang L, Herrington W, Bennett D, Turnbull I, Liu Y, Feng S, Chen J, Clarke R, Collins R, Peto R, Li L, Chen Z, for the China Kadoorie Biobank Collaborative Group. Association between diabetes and cause-specific mortality in rural and urban areas of China. JAMA. 2017;317(3):280-289. doi:10.1001/jama.2016.19720
      5.Lv J, Yu C, Guo Y, Bian Z, Yang L, Chen Y, Tang X, Zhang W, Qian Y, Huang Y, Wang X, Chen J, Chen Z, Qi L, Li L and China Kadoorie Biobank Collaborative G. Adherence to Healthy Lifestyle and Cardiovascular Diseases in the Chinese Population. J Am Coll Cardiol. 2017;69:1116-1125.
      Strength 1.large sample size;
      2.rich information in various exposure factors;
      3.established a biobank of about 2.1 million blood samples, 100 thousand urine samples, and nearly 300 thousand DNA samples. These are extremely important for exploring the genetic and environment risk factors on morbidity and susceptibility of chronic diseases, hence to prevent and control chronic diseases effectively;
      4.Follow up studies, the cohort conducted resurvey on exposure factors and outcomes among 5% cohort members every 4~5 years. More importantly, outcome information was obtained through multiple sources, including local routine disease surveillance points, universal health insurance databases, and active follow-up, which greatly enriched the clinical information on followed diseases;
      5.The study developed standard investigation procedure and quality control criteria.
      Weakness It’s not probability sampling when choosing the study area and population selection and the high response rate was not pursued during the investigation. The project objective is not to estimate prevalence of risk factors in study area or national level, it is more important to have sufficient sample size, to collect various exposure information, as well as stable and reliable long-term follow-up outcome.