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Genotyping and population characteristics of the China Kadoorie Biobank.
Walters, Robin G; Millwood, Iona Y; Lin, Kuang; Schmidt Valle, Dan; McDonnell, Pandora; Hacker, Alex; Avery, Daniel; Edris, Ahmed; Fry, Hannah; Cai, Na; Kretzschmar, Warren W; Ansari, M Azim; Lyons, Paul A; Collins, Rory; Donnelly, Peter; Hill, Michael; Peto, Richard; Shen, Hongbing; Jin, Xin; Nie, Chao; Xu, Xun; Guo, Yu; Yu, Canqing; Lv, Jun; Clarke, Robert J; Li, Liming; Chen, Zhengming.
Affiliation
  • Walters RG; Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
  • Millwood IY; MRC Population Health Research Unit, University of Oxford, Oxford OX3 7LF, UK.
  • Lin K; Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
  • Schmidt Valle D; MRC Population Health Research Unit, University of Oxford, Oxford OX3 7LF, UK.
  • McDonnell P; Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
  • Hacker A; Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
  • Avery D; Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
  • Edris A; Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
  • Fry H; Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
  • Cai N; Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
  • Kretzschmar WW; Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
  • Ansari MA; Wellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK.
  • Lyons PA; Wellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK.
  • Collins R; Nuffield Department of Medicine, Oxford University, Oxford OX1 3SY, UK.
  • Donnelly P; NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford OX3 9DU, UK.
  • Hill M; Cambridge Institute for Therapeutic Immunology and Infectious Disease, University of Cambridge, Cambridge CB2 0AW, UK.
  • Peto R; Department of Medicine, University of Cambridge, Cambridge CB2 0QQ, UK.
  • Shen H; Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
  • Jin X; Wellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK.
  • Nie C; Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
  • Xu X; MRC Population Health Research Unit, University of Oxford, Oxford OX3 7LF, UK.
  • Guo Y; Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
  • Yu C; Department of Epidemiology, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing 211116, China.
  • Lv J; BGI-Shenzhen, Shenzhen 518083, China.
  • Clarke RJ; BGI-Shenzhen, Shenzhen 518083, China.
  • Li L; BGI-Shenzhen, Shenzhen 518083, China.
  • Chen Z; Fuwai Hospital, Chinese Academy of Medical Sciences, Beijing 100037, China.
Cell Genom ; 3(8): 100361, 2023 Aug 09.
Article in En | MEDLINE | ID: mdl-37601966
ABSTRACT
The China Kadoorie Biobank (CKB) is a population-based prospective cohort of >512,000 adults recruited from 2004 to 2008 from 10 geographically diverse regions across China. Detailed data from questionnaires and physical measurements were collected at baseline, with additional measurements at three resurveys involving ∼5% of surviving participants. Analyses of genome-wide genotyping, for >100,000 participants using custom-designed Axiom arrays, reveal extensive relatedness, recent consanguinity, and signatures reflecting large-scale population movements from recent Chinese history. Systematic genome-wide association studies of incident disease, captured through electronic linkage to death and disease registries and to the national health insurance system, replicate established disease loci and identify 14 novel disease associations. Together with studies of candidate drug targets and disease risk factors and contributions to international genetics consortia, these demonstrate the breadth, depth, and quality of the CKB data. Ongoing high-throughput omics assays of collected biosamples and planned whole-genome sequencing will further enhance the scientific value of this biobank.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Cell Genom Year: 2023 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Cell Genom Year: 2023 Document type: Article