Evidence map›Paper›PMID 40440800›Full record

ArticleJournal of autoimmunity2025

Integrated analysis of polygenic and environmental risk scores for late-onset systemic lupus erythematosus.

Mehmet Hocaoǧlu, Amr H Sawalha

Abstract read
In one paragraph

Article in Journal of autoimmunity, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
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  3. Article
  4. Review
  5. 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

2 authors.

Mehmet HocaoǧluDivision of Rheumatology and Clinical Immunology, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Amr H SawalhaDivision of Rheumatology and Clinical Immunology, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA; Division of Rheumatology, Department of Pediatrics, University of Pittsburgh, Pittsburgh, PA, USA; Department of Immunology, University of Pittsburgh, Pittsburgh, USA; Lupus Center of Excellence, University of Pittsburgh, Pittsburgh, USA. Electronic address: asawalha@pitt.edu.

Funding

Role of DNA methylation in lupusR01AI097134 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Amr H Sawalha · 2013 to 2026
$4.5M
NIAID NIH HHS R01 AI097134
6 · The paper itself

Abstract

objectivePolygenic risk scores (PRS) have been constructed to summarize genetic risk but there is limited research on environment-wide analysis of risk factors for systemic lupus erythematosus (SLE). In this study, we performed an environment-wide association study to construct an environmental risk score (ERS) for SLE and compare the risk conferred by ERS and PRS.

methodsA total of 335 incident SLE cases were identified in the UK Biobank and matched 1:10 with age, sex, and ethnic background 3350 healthy controls. We examined the association between 37 environmental factors and SLE, using a univariate followed by a multivariate analysis. We summed the natural logarithm of the odds ratios (OR) of statistically significant environmental variables in the multivariable model to derive an ERS for SLE. Model discrimination was compared by De-Long's test. PRS was calculated using the ORs of previously reported SLE genetic risk loci.

resultsThe multivariate analysis revealed the association between daily sunlight exposure, depression, sleeplessness, sex hormone binding globulin levels, and air pollution with increased risk of SLE, while moderate physical activity was a protective factor. Increasing quartiles of the newly developed ERS were associated with similar degree of risk for SLE as the PRS. Integrating PRS with environmental factors significantly improved model performance.

conclusionsWe devised an ERS for SLE that summarizes the environmental component of the disease risk. We show that ERS confers a comparable degree of SLE risk as the PRS. Combining genetic and environmental factors could improve risk prediction models in SLE.

Indexed as

Environmental ExposureGene-Environment InteractionLupus Erythematosus, SystemicMultifactorial InheritanceAdultAgedAge of OnsetCase-Control StudiesFemaleGenetic Predisposition to DiseaseHumansMaleMiddle AgedRisk FactorsUnited KingdomEnvironmental risk scoreGene-environment interactionsPolygenic risk scoreRisk prediction modelSystemic lupus erythematosus

Identifiers

PMID40440800
PMCPMC13215970

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.