Evidence map›Paper›PMID 40406108›Full record

ArticleFrontiers in immunology2025

Mapping the genetic landscape of immune-mediated disorders: potential implications for classification and therapeutic strategies.

Vera Fominykh, Alexey A Shadrin, Piotr Jaholkowski, Julian Fuhrer, Nadine Parker, Erik D Wiström, Oleksandr Frei, Olav B Smeland, Helga Sanner, Srdjan Djurovic and 1 more

Abstract read
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Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

11 authors.

Vera FominykhCentre for Precision Psychiatry, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Alexey A Shadrin *Centre for Precision Psychiatry, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Piotr Jaholkowski *Centre for Precision Psychiatry, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Julian FuhrerCentre for Precision Psychiatry, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Nadine ParkerCentre for Precision Psychiatry, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Erik D WiströmSection for Precision Psychiatry, Oslo University Hospital, Oslo, Norway.
Oleksandr FreiCentre for Precision Psychiatry, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Olav B SmelandCentre for Precision Psychiatry, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Helga SannerDepartment of Rheumatology, Oslo University Hospital, Oslo, Norway.
Srdjan DjurovicCentre for Precision Psychiatry, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Ole A AndreassenCentre for Precision Psychiatry, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Based on clinical, biomarker, and genetic data, McGonagle and McDermott suggested that autoimmune and autoinflammatory disorders can be classified as a disease continuum from purely autoimmune to autoinflammatory with mixed diseases in between. However, the genetic architecture of this spectrum has not been systematically described. Here, we investigate the continuum of polygenic immune-mediated disorders using genome-wide association studies (GWAS) and statistical genetics methods. Methods: We mapped the genetic landscape of 15 immune-mediated disorders using GWAS summary statistics and methods including genomic structural equation modeling (genomic SEM), linkage disequilibrium score regression, Local Analysis of [co]Variant Association, and Gaussian causal mixture modeling (MiXeR). We performed enrichment analyses of tissues and biological gene sets using MAGMA. Results: Genomic SEM suggested a continuum structure with four underlying latent factors from autoimmune diseases at one end to autoinflammatory on the opposite end. Across disorders, we observed a balanced mixture of negative and positive local genetic correlations within the major histocompatibility complex, while outside this region, local genetic correlations were predominantly positive. MiXeR analysis showed large genetic overlap in accordance with the continuum landscape. MAGMA analysis implicated genes associated with known monogenic immune diseases for prominent autoimmune and autoinflammatory component. Conclusions: Our findings support a polygenic continuum across immune-mediated disorders, with four genetic clusters. The "polygenic autoimmune" and "polygenic autoinflammatory" clusters reside on margins of this continuum. These findings provide insights and lead us to hypothesize that the identified clusters could inform future therapeutical strategies, with patients in the same clusters potentially responding similarly to specific therapies.

Indexed as

Autoimmune DiseasesImmune System DiseasesGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansLinkage DisequilibriumMultifactorial InheritancePolymorphism, Single Nucleotideautoimmune diseasesautoimmunityclassificationgenome-wide association studiesinflammationpolygenicity

Identifiers

PMID40406108
PMCPMC12094916

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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.