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Shared genomic segments analysis identifies MHC class I and class III molecules as genetic risk factors for juvenile idiopathic arthritis.
Avery, Cecile N; Russell, Nicole D; Steely, Cody J; Hersh, Aimee O; Bohnsack, John F; Prahalad, Sampath; Jorde, Lynn B.
Affiliation
  • Avery CN; Department of Human Genetics, University of Utah, Salt Lake City, UT 84112, USA. Electronic address: cecile.avery@utah.edu.
  • Russell ND; Department of Human Genetics, University of Utah, Salt Lake City, UT 84112, USA.
  • Steely CJ; Department of Human Genetics, University of Utah, Salt Lake City, UT 84112, USA.
  • Hersh AO; Department of Pediatrics, University of Utah, Salt Lake City, UT 84112, USA.
  • Bohnsack JF; Department of Pediatrics, University of Utah, Salt Lake City, UT 84112, USA.
  • Prahalad S; Department of Pediatrics, Emory University School of Medicine, Atlanta, GA 30307, USA.
  • Jorde LB; Department of Human Genetics, University of Utah, Salt Lake City, UT 84112, USA. Electronic address: lbj@genetics.utah.edu.
HGG Adv ; 5(2): 100277, 2024 Apr 11.
Article in En | MEDLINE | ID: mdl-38369753
ABSTRACT
Juvenile idiopathic arthritis (JIA) is a complex rheumatic disease encompassing several clinically defined subtypes of varying severity. The etiology of JIA remains largely unknown, but genome-wide association studies (GWASs) have identified up to 22 genes associated with JIA susceptibility, including a well-established association with HLA-DRB1. Continued investigation of heritable risk factors has been hindered by disease heterogeneity and low disease prevalence. In this study, we utilized shared genomic segments (SGS) analysis on whole-genome sequencing of 40 cases from 12 multi-generational pedigrees significantly enriched for JIA. Subsets of cases are connected by a common ancestor in large extended pedigrees, increasing the power to identify disease-associated loci. SGS analysis identifies genomic segments shared among disease cases that are likely identical by descent and anchored by a disease locus. This approach revealed statistically significant signals for major histocompatibility complex (MHC) class I and class III alleles, particularly HLA-A∗0201, which was observed at a high frequency among cases. Furthermore, we identified an additional risk locus at 12q23.2-23.3, containing genes primarily expressed by naive B cells, natural killer cells, and monocytes. The recognition of additional risk beyond HLA-DRB1 provides a new perspective on immune cell dynamics in JIA. These findings contribute to our understanding of JIA and may guide future research and therapeutic strategies.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Arthritis, Juvenile Limits: Humans Language: En Journal: HGG Adv Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Arthritis, Juvenile Limits: Humans Language: En Journal: HGG Adv Year: 2024 Document type: Article
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