ArticleClinical, cosmetic and investigational dermatology2026
Integrative Transcriptomic and Genetic Analysis Prioritizes
Article in Clinical, cosmetic and investigational dermatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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Authors and funding
10 authors.
Funding
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Abstract
Background: Programmed cell death (PCD) has been implicated in various autoimmune disorders, but its role in vitiligo remains poorly understood. This study aimed to identify PCD-related genes and elucidate their potential contribution to vitiligo pathogenesis through integrative bioinformatics analysis. Methods: Three GEO datasets (GSE65127, GSE53146, GSE75819) were merged to obtain a combined cohort of 40 controls and 30 vitiligo samples. Differentially expressed genes (DEGs) were identified using limma. GSVA was applied to assess 11 PCD pathways. Summary-data-based Mendelian randomization (SMR) and HEIDI testing integrated eQTL data with vitiligo to pinpoint causal genes. Bayesian colocalization and immune infiltration analyses were further performed. Results: A total of 922 DEGs were identified, with pyroptosis and cuproptosis signatures upregulated in vitiligo whereas overall autophagy- and lysosome-dependent cell death-related gene expression was decreased. In contrast, pathway-level GSVA using a broader autophagy-related gene set indicated upregulated autophagy signaling, highlighting the context dependence of autophagy-related signatures. Overlapping DEGs with PCD gene sets yielded 75 differentially expressed PCD-related genes. SMR analysis prioritized 602 genes associated with vitiligo risk, and intersection with PCD genes highlighted Conclusion: This study identifies
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Registered trials
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