Genomic Loci and Molecular Genetic Mechanisms For Hidradenitis Suppurativa.
Supporting Files
-
July 2025
-
Available in CDC Stacks on July 21, 2025, 12:00 AM
File Language:
English
Details
-
Alternative Title:The British Journal of Dermatology, 2025, v. 193, no. 5: Genomic Loci and Molecular Genetic Mechanisms For Hidradenitis Suppurativa.
-
Journal Article:The British Journal of Dermatology
-
Personal Author:Broadaway, K. Alaine ; Sun, Quan ; Edmiston, Sharon N ; Currin, Kevin W ; Vadlamudi, Swarooparani ; Miller-Fleming, Tyne W ; Shi, Yue ; Fajgenbaum, Kristen ; Melendez-Gonzalez, Maria ; Bui, Helen ; Blum, Franklin R ; Westerkam, Linnea ; Shams, Rayad ; Mallela, Teja ; Levitt, Brandt ; Lin, Lan ; Hao, Honglin ; Memili, Aylin ; Straub, Peter ; Zhou, Wei ; Harris, Kathleen Mullan ; Martin, Alicia ; Cox, Nancy J ; Liu, Zhi ; Thomas, Nancy E ; Li, Yun ; Mohlke, Karen L ; Sayed, Christopher J
-
Description:Hidradenitis suppurativa (HS) is a common, chronic and debilitating inflammatory disease that most commonly affects intertriginous skin. Despite its high heritability, the genetic underpinnings of HS remain poorly understood.
To identify genetic signals associated with HS, determine genetic relationships with other diseases and investigate potential molecular genetic mechanisms.
We performed a genome-wide association meta-analysis of six studies, totalling 4540 patients with HS and > 1 million control participants, and identified genetic correlations with other common diseases. We integrated the HS data with expression quantitative trait loci from 10 trait-relevant tissues, epigenomic and transcriptomic data from human scalp, differential expression data from HS lesions vs. adjacent skin and mesenchymal Hi-C chromatin looping data. To identify functional noncoding variants, we performed transcriptional reporter assays for signals near KLF5 and SOX9.
We identified 11 significant HS signals across 7 loci: 4 corresponded to previously reported associations, 4 represented novel signals within known loci and 3 were signals in newly implicated loci. We identified significant genetic correlations between HS and other inflammatory conditions, particularly inflammatory bowel disease, rheumatoid arthritis, type 2 diabetes mellitus and asthma. We prioritized candidate genes for the 11 signals. The risk allele at KLF5 exhibited 10-fold greater transcriptional activity than the nonrisk allele, while risk alleles at SOX9 showed significantly reduced transcriptional activity.
Our results provide insights into potential genetic mechanisms underlying HS and suggest potential therapeutic targets for this challenging condition. -
Content Notes:Author manuscript
-
Subjects:
-
Source:The British Journal of Dermatology, 2025, v. 193, no. 5
-
DOI:
-
ISSN:0007-0963 ; 1365-2133
-
Pubmed ID:40650879
-
Pubmed Central ID:PMC12279254
-
Document Type:
-
Funding:S10 OD017985/OD/NIH HHSUnited States/ ; UL1 TR000445/TR/NCATS NIH HHSUnited States/ ; Comprehensive Cancer Center/ ; U19 HL065962/HL/NHLBI NIH HHSUnited States/ ; S10 OD017985/CD/ODCDC CDC HHSUnited States/ ; R01 HD074711/HD/NICHD NIH HHSUnited States/ ; P50 GM115305/GM/NIGMS NIH HHSUnited States/ ; P30 ES010126/ES/NIEHS NIH HHSUnited States/ ; P01 HD031921/HD/NICHD NIH HHSUnited States/ ; UM1 TR004406/TR/NCATS NIH HHSUnited States/ ; R01 HD073342/HD/NICHD NIH HHSUnited States/ ; MH/NIMH NIH HHSUnited States/ ; Common Fund of the Office of the Director of the NIH/ ; R00 HG012222/HG/NHGRI NIH HHSUnited States/ ; S10 RR025141/RR/NCRR NIH HHSUnited States/ ; P30 CA016086/CA/NCI NIH HHSUnited States/ ; R00HG012222/National Human Genome Research Institute of the National Institutes of Health/ ; UL1 TR002489/TR/NCATS NIH HHSUnited States/ ; RC2 GM092618/GM/NIGMS NIH HHSUnited States/ ; S10 OD025092/CD/ODCDC CDC HHSUnited States/ ; National Human Genome Research Institute (NHGRI)/ ; R01 AR083790/AR/NIAMS NIH HHSUnited States/ ; S10 OD025092/OD/NIH HHSUnited States/ ; U01 HG006378/HG/NHGRI NIH HHSUnited States/ ; UL1 RR024975/RR/NCRR NIH HHSUnited States/ ; R01 NS032830/NS/NINDS NIH HHSUnited States/ ; U01 HG004798/HG/NHGRI NIH HHSUnited States/ ; UL1 TR002243/TR/NCATS NIH HHSUnited States/ ; R21 AR075996/AR/NIAMS NIH HHSUnited States/
-
Genre:
-
Pages in Document:948-958 (22 pdf pages)
-
Volume:193
-
Issue:5
-
Download URL:
-
File Type:
-
Collection(s):
-
Main Document Checksum:urn:sha-512:8ed86618ed4fa44e7d224b88895071f540dc91d28166afe9e9834a10f86be94545ff7218fd7d8f3dc6faf17d377545840dd7f5892148c630888c68b90e377f8f
File Language:
English
CDC STACKS serves as an archival repository of CDC-published products including
scientific findings, journal articles, guidelines, recommendations, or other public health information authored or
co-authored by CDC or funded partners.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
You May Also Like
COLLECTION
CDC Public Access