Evidence map›Paper›PMID 40075078›Full record

ArticleNature communications2025

GWAS identifies genetic loci, lifestyle factors and circulating biomarkers that are risk factors for sarcoidosis.

Shuai Yuan, Jie Chen, Jiawei Geng, Sizheng Steven Zhao, James Yarmolinsky, Elizabeth V Arkema, Sarah Abramowitz, Michael G Levin, Kostas K Tsilidis, Stephen Burgess and 2 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 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Unveiling novel susceptibility genes for sarcoidosis by a cross-tissue transcriptome-wide association study.Sarcoidosis, vasculitis, and diffuse lung diseases : official journal of WASOG · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Immunopathogenesis of Sarcoidosis.Seminars in respiratory and critical care medicine · 2025
    Review
  8. 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

12 authors.

Shuai YuanUnit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden. shuai.yuan@ki.se.ORCID http://orcid.org/0000-0001-5055-5627
Jie ChenDepartment of Gastroenterology, The Third Xiangya Hospital, Central South University, Changsha, China.
Jiawei GengDepartment of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID http://orcid.org/0000-0002-7622-2692
Sizheng Steven ZhaoCentre for Musculoskeletal Research, Division of Musculoskeletal and Dermatological Science, School of Biological Sciences, Faculty of Biological Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.
James YarmolinskyDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Elizabeth V ArkemaDepartment of Medicine Solna, Clinical Epidemiology Division, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-3677-9736
Sarah AbramowitzDepartment of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Michael G LevinCorporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-9937-9932
Kostas K TsilidisDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Stephen BurgessMRC Biostatistics Unit, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0001-5365-8760
Scott M DamrauerDepartment of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0001-8009-1632
Susanna C LarssonUnit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-0118-0341

Funding

Wellcome Trust 225790
6 · The paper itself

Abstract

Sarcoidosis is a complex inflammatory disease with a strong genetic component. Here, we perform a genome-wide association study in 9755 sarcoidosis cases to identify risk loci and map associated genes. We then use transcriptome-wide association studies and enrichment analyses to explore pathways involved in sarcoidosis and use Mendelian randomization to examine associations with modifiable factors and circulating biomarkers. We identify 28 genomic loci associated with sarcoidosis, with the C1orf141-IL23R locus showing the largest effect size. We observe gene expression patterns related to sarcoidosis in the spleen, whole blood, and lung, and highlight 75 tissue-specific genes through transcriptome-wide association studies. Furthermore, we use enrichment analysis to establish key roles for T cell activation, leukocyte adhesion, and cytokine production in sarcoidosis. Additionally, we find associations between sarcoidosis and genetically predicted body mass index, interleukin-23 receptor, and eight circulating proteins.

Indexed as

Genetic LociLife StyleSarcoidosisAdultBiomarkersBody Mass IndexFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleMendelian Randomization AnalysisMiddle AgedPolymorphism, Single NucleotideReceptors, InterleukinRisk FactorsBiomarkersIL23R protein, humanReceptors, Interleukin

Identifiers

PMID40075078
PMCPMC11903676

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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.