Evidence map›Paper›PMID 37601966›Full record

ArticleCell genomics2023

Genotyping and population characteristics of the China Kadoorie Biobank.

Robin G Walters, Iona Y Millwood, Kuang Lin, Dan Schmidt Valle, Pandora McDonnell, Alex Hacker, Daniel Avery, Ahmed Edris, Hannah Fry, Na Cai and 18 more

Abstract read
In one paragraph

Article in Cell genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 109 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
109citing papers in PubMed, 6 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

109 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Article
  8. Big data and psychiatry: advances, constraints and future directions.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Genetic basis of Asian diabetes.Journal of diabetes investigation · 2026
    Review
  13. Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. The case for an integrated biobanking initiative in South Asia.The Lancet regional health. Southeast Asia · 2026
    Review

49 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

28 authors.

Robin G WaltersNuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
Iona Y MillwoodNuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
Kuang LinNuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
Dan Schmidt ValleNuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
Pandora McDonnellNuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
Alex HackerNuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
Daniel AveryNuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
Ahmed EdrisNuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
Hannah FryNuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
Na CaiWellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK.
Warren W KretzschmarWellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK.
M Azim AnsariNuffield Department of Medicine, Oxford University, Oxford OX1 3SY, UK.
Paul A LyonsCambridge Institute for Therapeutic Immunology and Infectious Disease, University of Cambridge, Cambridge CB2 0AW, UK.
Rory CollinsNuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
Peter DonnellyWellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK.
Michael HillNuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
Richard PetoNuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
Hongbing ShenDepartment of Epidemiology, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing 211116, China.
Xin JinBGI-Shenzhen, Shenzhen 518083, China.
Chao NieBGI-Shenzhen, Shenzhen 518083, China.
Xun XuBGI-Shenzhen, Shenzhen 518083, China.
Yu GuoFuwai Hospital, Chinese Academy of Medical Sciences, Beijing 100037, China.
Canqing YuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
Jun LvDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
Robert J ClarkeNuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
Liming LiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
Zhengming ChenNuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
China Kadoorie Biobank Collaborative Group

Funding

British Heart Foundation CH/1996001/9454Cancer Research UK 29186Medical Research Council MC_PC_14135Medical Research Council MC_U137686851Medical Research Council MC_UU_00017/1Medical Research Council MC_UU_12026/2Versus Arthritis 20593Wellcome Trust
6 · The paper itself

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.

Indexed as

biobankcardiovascular healthcomplex diseasegenetic association studiesgenetic epidemiologygeneticsgenotypingGWASomicsprospective

Identifiers

PMID37601966
PMCPMC10435379

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.