Sporadic Hidradenitis Suppurativa (spHS) is a multifactorial disease in which genetic predisposition is intertwined with environmental factors. Due to the still to date limited knowledge of spHS genetics, we calculated Polygenic scores (PGS) to study the genetic underpinnings that contribute to spHS within European demographic. 256 spHS patients and 1686 healthy controls were analyzed across 6 European clinical centers. PGS 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-value=2x10-2). The statistically significant -age, gender and ancestry adjusted- association of our developed PGS in spHS allows us to attribute a genetic contribution to the susceptibility of spHS (pseudo-R2=0.0053). Variants enriched for developing PGS 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.
Polygenic Score: A Tool for Evaluating the Genetic Background of Sporadic Hidradenitis Suppurativa / C. Moltrasio, R.M.. - In: JOURNAL OF INVESTIGATIVE DERMATOLOGY. - ISSN 0022-202X. - 145:8(2025 Aug), pp. 1987-1994. [10.1016/j.jid.2024.11.019]
Polygenic Score: A Tool for Evaluating the Genetic Background of Sporadic Hidradenitis Suppurativa
A. Conti;C. Del Vecchio;A.V. Marzano;
2025
Abstract
Sporadic Hidradenitis Suppurativa (spHS) is a multifactorial disease in which genetic predisposition is intertwined with environmental factors. Due to the still to date limited knowledge of spHS genetics, we calculated Polygenic scores (PGS) to study the genetic underpinnings that contribute to spHS within European demographic. 256 spHS patients and 1686 healthy controls were analyzed across 6 European clinical centers. PGS 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-value=2x10-2). The statistically significant -age, gender and ancestry adjusted- association of our developed PGS in spHS allows us to attribute a genetic contribution to the susceptibility of spHS (pseudo-R2=0.0053). Variants enriched for developing PGS 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.| File | Dimensione | Formato | |
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