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∗02:01, 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.
| Original language | English |
|---|---|
| Article number | 100277 |
| Journal | Human Genetics and Genomics Advances |
| Volume | 5 |
| Issue number | 2 |
| DOIs | |
| State | Published - Apr 11 2024 |
Bibliographical note
Publisher Copyright:© 2024 The Author(s)
Funding
We thank the Pedigree and Population Resource of Huntsman Cancer Institute, University of Utah (funded in part by the Huntsman Cancer Foundation ) for its role in the ongoing collection, maintenance, and support of the Utah Population Database (UPDB). We also acknowledge partial support for the UPDB through grant P30 CA2014 from the National Cancer Institute , University of Utah , and from the University of Utah’s program in Personalized Health and Utah Clinical and Translational Science Institute . We thank the staff at the UPDB for their support in the identification of the JIA pedigrees. We greatly appreciate Rob Sargent and Myke Madsen for technical and programming support performing the SGS analyses, and Nicola Camp for guidance on feasibility and SGS concepts. The authors gratefully acknowledge the Utah Genome Project and the Chan Soon-Shiong Family Foundation for providing the funds for sequencing the study samples. The research reported in this publication was supported in part by NIH R35GM118335 (to L.B.J.) and the National Center for Advancing Translational Sciences of the National Institutes of Health under Award Number TL1TR002540 . The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health .
| Funders | Funder number |
|---|---|
| Chan Soon-Shiong Family Foundation | |
| UPDB | P30 CA2014 |
| Utah Genome Project | |
| National Institutes of Health (NIH) | TL1TR002540, R35GM118335 |
| National Childhood Cancer Registry – National Cancer Institute | |
| National Center for Advancing Translational Sciences (NCATS) | |
| University of Utah | |
| Huntsman Cancer Foundation | |
| Clinical and Translational Science Institute, University of Florida |
ASJC Scopus subject areas
- Molecular Medicine
- Genetics(clinical)