Evidence map›Paper›PMID 40360480›Full record

ArticleNature communications2025

Sex differences in the genetic regulation of the human plasma proteome.

Mine Koprulu, Eleanor Wheeler, Nicola D Kerrison, Spiros Denaxas, Julia Carrasco-Zanini, Chloe M Orkin, Harry Hemingway, Nicholas J Wareham, Maik Pietzner, Claudia Langenberg

Abstract read
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 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Proteogenomics in human populations.Nature reviews. Genetics · 2026
    Review
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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

10 authors.

Mine KopruluPrecision Healthcare University Research Institute, Queen Mary University of London, London, UK.ORCID http://orcid.org/0000-0001-6870-4539
Eleanor WheelerMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge, UK.
Nicola D KerrisonMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge, UK.ORCID http://orcid.org/0000-0002-1471-953X
Spiros DenaxasInstitute of Health Informatics, University College London, London, UK.
Julia Carrasco-ZaniniPrecision Healthcare University Research Institute, Queen Mary University of London, London, UK.ORCID http://orcid.org/0000-0002-3988-7505
Chloe M OrkinBlizard Institute and SHARE Collaborative, Queen Mary University of London, London, UK.ORCID http://orcid.org/0000-0001-6168-6745
Harry HemingwayInstitute of Health Informatics, University College London, London, UK.ORCID http://orcid.org/0000-0003-2279-0624
Nicholas J WarehamMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge, UK.ORCID http://orcid.org/0000-0003-1422-2993
Maik PietznerPrecision Healthcare University Research Institute, Queen Mary University of London, London, UK.ORCID http://orcid.org/0000-0003-3437-9963
Claudia LangenbergPrecision Healthcare University Research Institute, Queen Mary University of London, London, UK. claudia.langenberg@qmul.ac.uk.ORCID http://orcid.org/0000-0002-5017-7344

Funding

British Heart Foundation (BHF) SP/19/3/34678RCUK | Medical Research Council (MRC) MC_PC_13046RCUK | Medical Research Council (MRC) MC_UU_00006/1
6 · The paper itself

Abstract

Mechanisms underlying sex differences in the development and prognosis of many diseases remain largely elusive. Here, we systematically investigated sex differences in the genetic regulation of plasma proteome (>5800 protein targets) across two cohorts (30,307 females; 26,058 males). Plasma levels of two-thirds of protein targets differ significantly by sex. In contrast, genetic effects on protein targets are remarkably similar across sexes, with only 103 sex-differential protein quantitative loci (sd-pQTLs; for 2.9% and 0.3% of protein targets from antibody- and aptamer-based platforms, respectively). A third of those show evidence of sexual discordance, i.e., effects observed in one sex only (n = 30) or opposite effect directions (n = 1 for CDH15). Phenome-wide analyses of 365 outcomes in UK Biobank did not provide evidence that the identified sd-pQTLs accounted for sex-differential disease risk. Our results demonstrate similarities in the genetic regulation of protein levels by sex with important implications for genetically-guided drug target discovery and validation.

Indexed as

Blood ProteinsGene Expression RegulationProteomeSex CharacteristicsCohort StudiesFemaleHumansMaleMiddle AgedQuantitative Trait LociSex FactorsBlood ProteinsProteome

Identifiers

PMID40360480
PMCPMC12075630

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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.