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
Dermatology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Department of Advanced Diagnostics, Institute for Maternal and Child Health - IRCCS Burlo Garofolo, Trieste, Italy.
J Invest Dermatol. 2024 Dec 28. doi: 10.1016/j.jid.2024.11.019.
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). 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.
散发性化脓性汗腺炎(spHS)是一种多因素疾病,其中遗传易感性与环境因素相互交织。由于目前对spHS遗传学的了解仍然有限,我们计算了多基因分数(PGS),以研究欧洲人群中导致spHS的遗传基础。在6个欧洲临床中心对总共256例spHS患者和1686名健康对照进行了分析。PGS使用聚类和阈值技术在总样本的70%上进行计算,其余30%用于测试。使用PANTHER工具来识别过度表达的基因。我们生成了一个由923个单核苷酸多态性(SNP)组成的PGS,这些SNP与spHS具有统计学上的显著关联(P = 2×10)。我们开发的PGS在spHS中经年龄、性别和血统调整后的统计学显著关联,使我们能够将遗传因素归因于spHS的易感性(伪R2 = 0.0053)。用于生成PGS的富集变异显示出对主要编码细胞粘附蛋白的基因进行映射的统计学显著偏好。尽管这项研究建立了一个与spHS相关的多基因模型,但纳入的患者数量较少是一个局限性。然而,我们相信,随着更大的实验数据集的出现,我们的模型有潜力在未来的研究中作为预测spHS状态的有价值工具。