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    Polygenic Score: A Tool for Evaluating the Genetic Background of Sporadic Hidradenitis Suppurativa

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    1-s2.0-S0022202X24030422-main.pdf (827.7Kb)
    Date
    2025-08-31
    Author
    Moltrasio, Chiara
    Moura, Ronald
    Conti, Andrea
    Fania, Luca
    Jaschke, Wolfram
    Caposiena Caro, Raffaele Dante
    Chersi, Karin
    Margiotta, Flavia Manzo
    Di Cesare, Antonella
    Rosi, Elia
    Regensberger, Florian
    Boeckle, Barbara
    Frischhut, Nina
    Cappellani, Stefania
    Del Vecchio, Cecilia
    Nardacchione, Elena Maria
    Zalaudek, Iris
    von Stebut, Esther
    Berti, Irene
    Boniotto, Michele
    d’Adamo, Adamo Pio
    Schmuth, Matthias
    Dini, Valentina
    Prignano, Francesca
    Abeni, Damiano
    Chiricozzi, Andrea
    Marzano, Angelo Valerio
    Crovella, Sergio
    Tricarico, Paola Maura
    ...show more authors ...show less authors
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    Abstract
    Sporadic hidradenitis suppurativa (spHS) is a multifactorial disease in which genetic predisposition is intertwined with environmental factors. Owing to the still-to-date limited knowledge of spHS genetics, we calculated polygenic scores (PGSs) to study the genetic underpinnings that contribute to spHS within European demographic. A total of 256 patients with spHS and 1686 healthy controls were analyzed across 6 European clinical centers. PGSs were calculated using a clumping and thresholding technique on 70% of the total sample, with the remaining 30% used for testing. The PANTHER tool was used to identify overrepresented genes. We generated a PGS characterized by 923 SNPs with a statistically significant association with spHS (P = 2 × 10−2). The statistically significant age-, sex-, and ancestry-adjusted association of our developed PGSs in spHS allows us to attribute a genetic contribution to the susceptibility of spHS (pseudo-R2 = 0.0053). Variants enriched for developing PGSs show a statistically significant preference for mapping to genes that encode primarily for cell adhesion proteins. Although this study developed a polygenic model associated with spHS, the low number of patients enrolled is a limitation. However, we believe that with larger experimental datasets, our model has the potential to serve as a valuable tool for predicting spHS states in future studies.
    URI
    https://www.sciencedirect.com/science/article/pii/S0022202X24030422
    DOI/handle
    http://dx.doi.org/10.1016/j.jid.2024.11.019
    http://hdl.handle.net/10576/68465
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