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The Journal of investigative dermatology · 2024

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

СтатьяМногоцентровое исследованиеНазвание и аннотация: Перевод пока не подготовлен
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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

Аннотация

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.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты