ReviewFrontiers in immunology2025
Decoding eQTLs: unraveling their role in spondyloarthropathies pathogenesis and potential therapeutics.
Review 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 1 paper.
What it found
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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.
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.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Expression quantitative trait loci (eQTLs) represent genetic variants that influence gene expression, providing insights into the mechanisms linking genetic predisposition to complex diseases, including spondyloarthropathies (SpAs). SpAs, encompassing ankylosing spondylitis, psoriatic arthritis, reactive arthritis, and enteropathic arthritis, are related heterogeneous conditions with strong genetic components, particularly in HLA-B27 and non-HLA loci, but phenotypically distinct disorders. Recent advances in genome-wide association studies (GWAS) and transcriptomic studies have shown the potential of such eQTLs to provide insights into the disease biology, delineate potential drug targets, and enable precision medicine. This mini-review provides a comprehensive overview of eQTLs-discovery, definition, and functional implication into eQTLs gene regulation. We review their role in SpA pathogenesis, controversy and methodological issues in eQTL studies, literature gaps, and directions for the future. By combining genetic, immunological, and computational information, we aim to present an unbiased perspective on the role of eQTLs in advancing SpA research and treatment.
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