Genotyping and population characteristics of the China Kadoorie Biobank

Robin Walters(University of Oxford), Iona Y. Millwood(University of Oxford), Kuang Lin(University of Oxford), Dan Schmidt Valle(University of Oxford), Pandora McDonnell(University of Oxford), Alex Hacker(University of Oxford), Daniel Avery(University of Oxford), Ahmed Edris(University of Oxford), Hannah Fry(University of Oxford), Na Cai(Centre for Human Genetics), Warren W. Kretzschmar(Centre for Human Genetics), M. Azim Ansari(University of Oxford), Paul Lyons(University of Cambridge), Rory Collins(University of Oxford), Peter Donnelly(Centre for Human Genetics), Michael Hill(University of Oxford), Richard Peto(University of Oxford), Hongbing Shen(Nanjing Medical University), Xin Jin(BGI Group (China)), Chao Nie(BGI Group (China)), Xun Xu(BGI Group (China)), Yu Guo(Chinese Academy of Medical Sciences & Peking Union Medical College), Canqing Yu(Peking University), Jun Lv(Peking University), Robert Clarke(University of Oxford), Liming Li(Peking University), Zhengming Chen(University of Oxford)
Cell Genomics
July 20, 2023
Cited by 126Open Access
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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.


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