Evidence map›Paper›PMID 39984443›Full record

ArticleNature communications2025

Comparative studies of 2168 plasma proteins measured by two affinity-based platforms in 4000 Chinese adults.

Baihan Wang, Alfred Pozarickij, Mohsen Mazidi, Neil Wright, Pang Yao, Saredo Said, Andri Iona, Christiana Kartsonaki, Hannah Fry, Kuang Lin and 16 more

Abstract readComparative Study
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Review
  2. Review
  3. Proteogenomics in human populations.Nature reviews. Genetics · 2026
    Review
  4. Article
  5. Proteomics for precision nutrition: current evidence and future directions.Current opinion in clinical nutrition and metabolic care · 2026
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. cpiVAE: Robust and Interpretable Cross-Platform Proteomics Imputation.bioRxiv : the preprint server for biology · 2025
    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

26 authors.

Baihan WangClinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Alfred PozarickijClinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Mohsen MazidiClinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Neil WrightClinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-3946-1870
Pang YaoClinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Saredo SaidClinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Andri IonaClinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Christiana KartsonakiClinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Hannah FryClinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID http://orcid.org/0009-0006-1584-2042
Kuang LinClinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Yiping ChenClinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-4973-0296
Huaidong DuClinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-9814-0049
Daniel AveryClinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-9823-9575
Dan Schmidt-ValleClinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Canqing YuDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.ORCID http://orcid.org/0000-0002-0019-0014
Dianjianyi SunDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.ORCID http://orcid.org/0000-0003-3651-6693
Jun LvDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.
Michael HillClinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-3861-6105
Liming LiDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.ORCID http://orcid.org/0000-0001-5873-7089
Derrick A BennettClinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-9170-8447
Rory CollinsClinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Robin G WaltersClinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-9179-0321
Robert ClarkeClinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-9802-8241
Iona Y Millwood *Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK. iona.millwood@ndph.ox.ac.uk.ORCID http://orcid.org/0000-0002-0807-0682
Zhengming Chen *Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK. zhengming.chen@ndph.ox.ac.uk.ORCID http://orcid.org/0000-0001-6423-105X
China Kadoorie Biobank Collaborative Group

Funding

British Heart Foundation (BHF) CH/1996001/9454British Heart Foundation (BHF) FS/18/23/33512Cancer Research UK (CRUK) C16077/A29186, C500/A16896National Natural Science Foundation of China (National Science Foundation of China) 82192901, 82192904, 82192900RCUK | Medical Research Council (MRC) MC-PC-13049, MC-PC-14135Wellcome TrustWellcome Trust (Wellcome) 212946/Z/18/Z, 202922/Z/16/Z, 104085/Z/14/Z, 088158/Z/09/Z
6 · The paper itself

Abstract

Proteomics offers unique insights into human biology and drug development, but few studies have directly compared the utility of different proteomics platforms. We measured plasma levels of 2168 proteins in 3976 Chinese adults using both Olink Explore and SomaScan platforms. The correlation of protein levels between platforms was modest (median rho = 0.29), with protein abundance and data quality parameters being key factors influencing correlation. For 1694 proteins with one-to-one matched reagents, 765 Olink and 513 SomaScan proteins had cis-pQTLs, including 400 with colocalising cis-pQTLs. Moreover, 1096 Olink and 1429 SomaScan proteins were associated with BMI, while 279 and 154 proteins were associated with risk of ischaemic heart disease, respectively. Addition of Olink and SomaScan proteins to conventional risk factors for ischaemic heart disease improved C-statistics from 0.845 to 0.862 (NRI: 12.2%) and 0.863 (NRI: 16.4%), respectively. These results demonstrate the utility of these platforms and could inform the design and interpretation of future studies.

Indexed as

Blood ProteinsProteomicsAdultAgedBody Mass IndexChinaEast Asian PeopleFemaleHumansMaleMiddle AgedMyocardial IschemiaRisk FactorsBlood Proteins

Identifiers

PMID39984443
PMCPMC11845630

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.