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GWAS Study

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

Moltrasio C, Moura R, Conti A et al.

39736307 PubMed ID
GWAS Study Type
1653 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

MC
Moltrasio C
MR
Moura R
CA
Conti A
FL
Fania L
JW
Jaschke W
CC
Caposiena Caro RD
CK
Chersi K
MF
Margiotta FM
DC
Di Cesare A
RE
Rosi E
RF
Regensberger F
BB
Boeckle B
FN
Frischhut N
CS
Cappellani S
DV
Del Vecchio C
NE
Nardacchione EM
ZI
Zalaudek I
VS
von Stebut E
BI
Berti I
BM
Boniotto M
DA
d'Adamo AP
SM
Schmuth M
DV
Dini V
PF
Prignano F
AD
Abeni D
CA
Chiricozzi A
MA
Marzano AV
CS
Crovella S
TP
Tricarico PM
Chapter II

Abstract

Summary of the research findings

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.

256 European ancestry cases, 1,397 European ancestry controls

Chapter III

Study Statistics

Key metrics and study information

1653
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
Austria, Italy, Germany
Recruitment Country
Chapter IV

AI-Generated Summary

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