Evidence map›Paper›PMID 42498778›Full record

ArticleNature genetics2026

Nanoparticle-enriched mass spectrometry proteomics in British South Asians identifies links between genetic variants, plasma protein levels and disease risk.

Maik Pietzner, Alice Williamson, Karen A Hunt, Mine Koprulu, Leonhard Kohleick, Kamil Demircan, Genes & Health Research Team, Sarah Finer, Julia Carrasco Zanini, David A van Heel and 1 more

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In one paragraph

Article in Nature genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Maik PietznerPrecision Healthcare University Research Institute, Queen Mary University of London, London, UK. m.pietzner@qmul.ac.uk.ORCID http://orcid.org/0000-0003-3437-9963
Alice WilliamsonPrecision Healthcare University Research Institute, Queen Mary University of London, London, UK.ORCID http://orcid.org/0000-0002-7599-9301
Karen A HuntBlizard Institute, Queen Mary University of London, London, UK.
Mine KopruluPrecision Healthcare University Research Institute, Queen Mary University of London, London, UK.ORCID http://orcid.org/0000-0001-6870-4539
Leonhard KohleickComputational Medicine, Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Berlin, Germany.ORCID http://orcid.org/0009-0002-4238-6602
Kamil DemircanPrecision Healthcare University Research Institute, Queen Mary University of London, London, UK.
Genes & Health Research Team
Sarah FinerWolfson Institute of Population Health, Queen Mary University of London, London, UK.ORCID http://orcid.org/0000-0002-2684-4653
Julia Carrasco ZaniniPrecision Healthcare University Research Institute, Queen Mary University of London, London, UK.ORCID http://orcid.org/0000-0002-3988-7505
David A van HeelPrecision Healthcare University Research Institute, Queen Mary University of London, London, UK. d.vanheel@qmul.ac.uk.ORCID http://orcid.org/0000-0002-0637-2265
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

Deutsche Forschungsgemeinschaft (German Research Foundation) 547107463EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 101116072Wellcome Trust
6 · The paper itself

Abstract

Understanding genetic variation associated with differences in plasma protein levels can elucidate human disease mechanisms. Here we demonstrate how untargeted nanoparticle-enriched mass spectrometry (MS)-based plasma proteomics delivers quantitatively and qualitatively different insights compared to two affinity-based assays in a sample of ~1,400 British South Asian individuals. We identify >1,200 significant locus-protein associations (P < 8.7 × 10

Indexed as

Blood ProteinsGenetic Predisposition to DiseaseGenetic VariationMass SpectrometryProteomicsSouth Asian PeopleAsia, SouthernFemaleHumansMaleNanoparticlesPolymorphism, Single NucleotideQuantitative Trait LociUnited KingdomBlood Proteins

Identifiers

PMID42498778
PMCPMC13447103

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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.