Evidence map›Paper›PMID 39414775›Full record

ArticleNature communications2024

Genetic architecture of routinely acquired blood tests in a British South Asian cohort.

Benjamin M Jacobs, Daniel Stow, Sam Hodgson, Julia Zöllner, Miriam Samuel, Stavroula Kanoni, Saeed Bidi, Genes & Health Research Team, Klaudia Walter, Claudia Langenberg and 8 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Piezo1 dictates KProceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Patterns of lipid profile and genetic variations in South Asians.Cardiovascular diabetology. Endocrinology reports · 2025
    Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Review
  20. Article
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

18 authors.

Benjamin M Jacobs *Wolfson Institute of Population Health, Queen Mary University of London, London, UK.ORCID 0000-0002-6023-6010
Daniel Stow *Wolfson Institute of Population Health, Queen Mary University of London, London, UK.ORCID 0000-0002-9534-4521
Sam Hodgson *Wolfson Institute of Population Health, Queen Mary University of London, London, UK.ORCID 0000-0002-5610-850X
Julia Zöllner *Wolfson Institute of Population Health, Queen Mary University of London, London, UK.ORCID 0000-0002-9072-9131
Miriam Samuel *Wolfson Institute of Population Health, Queen Mary University of London, London, UK.ORCID 0000-0003-1258-435X
Stavroula KanoniWilliam Harvey Research Institute, Queen Mary University of London, London, UK.ORCID 0000-0002-1691-9615
Saeed BidiWolfson Institute of Population Health, Queen Mary University of London, London, UK.ORCID 0000-0002-8951-2867
Genes & Health Research Team
Klaudia WalterWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK.ORCID 0000-0003-4448-0301
Claudia LangenbergPrecision Healthcare University Research Institute, Queen Mary University of London, London, UK.ORCID 0000-0002-5017-7344
Ruth DobsonWolfson Institute of Population Health, Queen Mary University of London, London, UK.ORCID 0000-0002-2993-585X
Sarah FinerWolfson Institute of Population Health, Queen Mary University of London, London, UK.ORCID 0000-0002-2684-4653
Caroline MortonWolfson Institute of Population Health, Queen Mary University of London, London, UK.
Moneeza K SiddiquiWolfson Institute of Population Health, Queen Mary University of London, London, UK.ORCID 0000-0001-9055-3896
Hilary C MartinWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK.ORCID 0000-0002-4454-9084
Maik PietznerPrecision Healthcare University Research Institute, Queen Mary University of London, London, UK.ORCID 0000-0003-3437-9963
Rohini MathurWolfson Institute of Population Health, Queen Mary University of London, London, UK.
David A van HeelWolfson Institute of Population Health, Queen Mary University of London, London, UK. d.vanheel@qmul.ac.uk.ORCID 0000-0002-0637-2265

Funding

RCUK | Medical Research Council (MRC) M009017RCUK | Medical Research Council (MRC) MR/V028766/1Wellcome Trust 210561/Z/18/ZWellcome Trust (Wellcome) WT102627
6 · The paper itself

Abstract

Understanding the genetic basis of routinely-acquired blood tests can provide insights into several aspects of human physiology. We report a genome-wide association study of 42 quantitative blood test traits defined using Electronic Healthcare Records (EHRs) of ~50,000 British Bangladeshi and British Pakistani adults. We demonstrate a causal variant within the PIEZO1 locus which was associated with alterations in red cell traits and glycated haemoglobin. Conditional analysis and within-ancestry fine mapping confirmed that this signal is driven by a missense variant - chr16-88716656-G-T

Indexed as

Asian PeopleDiabetes Mellitus, Type 2Genome-Wide Association StudyGlycated HemoglobinIon ChannelsAdultAllelesBangladeshBlood GlucoseCohort StudiesElectronic Health RecordsErythrocytesFemaleHematologic TestsHumansMaleBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanIon ChannelsPIEZO1 protein, human

Identifiers

PMID39414775
PMCPMC11484750

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.