Evidence map›Paper›PMID 40866338›Full record

ArticleNature communications2025

Gene expression QTL mapping in stimulated iPSC-derived macrophages provides insights into common complex diseases.

Nikolaos I Panousis, Omar El Garwany, Andrew Knights, Jesse Cheruiyot Rop, Natsuhiko Kumasaka, Maria Imaz, Lorena Boquete Vilarino, Anthi Tsingene, Alex Tokolyi, Alice Barnett and 3 more

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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

13 authors.

Nikolaos I PanousisWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK.
Omar El GarwanyWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK.
Andrew KnightsWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK.
Jesse Cheruiyot RopWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK.ORCID http://orcid.org/0000-0003-0054-1782
Natsuhiko KumasakaWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK.
Maria ImazWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK.ORCID http://orcid.org/0000-0003-1894-8126
Lorena Boquete VilarinoWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK.
Anthi TsingeneWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK.
Alex TokolyiWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK.
Alice BarnettWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK.ORCID http://orcid.org/0009-0001-9544-459X
Celine GomezWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK.
Carl A AndersonWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK. ca3@sanger.ac.uk.ORCID http://orcid.org/0000-0003-1719-7009
Daniel J GaffneyWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK.ORCID http://orcid.org/0000-0002-1529-1862

Funding

British Heart Foundation (BHF) CH/12/2/29428British Heart Foundation (BHF) RE/18/1/34212British Heart Foundation (BHF) RG/18/13/33946DH | National Institute for Health Research (NIHR) IS-BRC-1215-20014Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) 178005Wellcome TrustWellcome Trust (Wellcome) 206194, 220540/Z/20/AWellcome Trust (Wellcome) WT098503
6 · The paper itself

Abstract

Many disease-associated variants are thought to be regulatory but are not present in existing catalogues of expression quantitative trait loci (eQTL). We hypothesise that these variants may regulate expression in specific biological contexts, such as stimulated immune cells. Here, we used human iPSC-derived macrophages to map eQTLs across 24 cellular conditions. We found that 76% of eQTLs detected in at least one stimulated condition were also found in naive cells. The percentage of response eQTLs (reQTLs) varied widely across conditions (3.7% - 28.4%), with reQTLs specific to a single condition being rare (1.11%). Despite their relative rarity, reQTLs were overrepresented among disease-colocalizing eQTLs. We nominated an additional 21.7% of disease effector genes at GWAS loci via colocalization of reQTLs, with 38.6% of these not found in the Genotype-Tissue Expression (GTEx) catalogue. Our study highlights the diversity of genetic effects on expression and demonstrates how condition-specific regulatory variation can enhance our understanding of common disease risk alleles.

Indexed as

Induced Pluripotent Stem CellsMacrophagesQuantitative Trait LociChromosome MappingGene Expression RegulationGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansPolymorphism, Single Nucleotide

Identifiers

PMID40866338
PMCPMC12391345

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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.