Evidence map›Paper›PMID 40187354›Full record

ArticleCell genomics2025

Integration of biobank-scale genetics and plasma proteomics reveals evidence for causal processes in asthma risk and heterogeneity.

Lauren J Donoghue, Christian Benner, Diana Chang, Flaviyan Jerome Irudayanathan, Rion K Pendergrass, Brian L Yaspan, Anubha Mahajan, Mark I McCarthy

Abstract read
In one paragraph

Article in Cell genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  5. Article
  6. Article
  7. Asthma endotypes and theratypes.Chinese medical journal pulmonary and critical care medicine · 2026
    Review
  8. Review
  9. Review
  10. Population-scale Long-read Sequencing in themedRxiv : the preprint server for health sciences · 2025
    Article
  11. Article
  12. Article
  13. 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

8 authors.

Lauren J DonoghueGenentech, Inc., South San Francisco, CA, USA.
Christian BennerGenentech, Inc., South San Francisco, CA, USA.
Diana ChangGenentech, Inc., South San Francisco, CA, USA.
Flaviyan Jerome IrudayanathanGenentech, Inc., South San Francisco, CA, USA.
Rion K PendergrassGenentech, Inc., South San Francisco, CA, USA.
Brian L YaspanGenentech, Inc., South San Francisco, CA, USA.
Anubha MahajanGenentech, Inc., South San Francisco, CA, USA.
Mark I McCarthyGenentech, Inc., South San Francisco, CA, USA. Electronic address: mccarthy.mark@gene.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hundreds of genetic associations for asthma have been identified, yet translating these findings into mechanistic insights remains challenging. We leveraged plasma proteomics from the UK Biobank Pharma Proteomics Project (UKB-PPP) to identify biomarkers and effectors of asthma risk or heterogeneity using genetic causal inference approaches. We identified 609 proteins associated with asthma status (269 proteins after controlling for body mass index [BMI] and smoking). Analysis of genetically predicted protein levels identified 70 proteins with putative causal roles in asthma risk, including known drug targets and proteins without prior genetic evidence in asthma (e.g., GCHFR, TDRKH, and CLEC7A). The genetic architecture of causally associated proteins provided evidence for a Toll-like receptor (TLR)1-interleukin (IL)-27 asthma axis. Lastly, we identified evidence of causal relationships between proteins and heterogeneous aspects of asthma biology, including between TSPAN8 and neutrophil counts. These findings illustrate that integrating biobank-scale genetics and plasma proteomics can provide a framework to identify therapeutic targets and mechanisms underlying disease risk and heterogeneity.

Indexed as

AsthmaBiological Specimen BanksProteomicsBiomarkersFemaleGenetic Predisposition to DiseaseHumansMaleRisk FactorsBiomarkersasthmacausal inferenceGWASMendelian Randomizationplasma proteomics

Identifiers

PMID40187354
PMCPMC12143328

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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.