Dataset Information

Combined genetic analysis of juvenile idiopathic arthritis clinical subtypes identifies novel risk loci, target genes and key regulatory mechanisms.

ABSTRACT:

Objectives

Juvenile idiopathic arthritis (JIA) is the most prevalent form of juvenile rheumatic disease. Our understanding of the genetic risk factors for this disease is limited due to low disease prevalence and extensive clinical heterogeneity. The objective of this research is to identify novel JIA susceptibility variants and link these variants to target genes, which is essential to facilitate the translation of genetic discoveries to clinical benefit.

Methods

We performed a genome-wide association study (GWAS) in 3305 patients and 9196 healthy controls, and used a Bayesian model selection approach to systematically investigate specificity and sharing of associated loci across JIA clinical subtypes. Suggestive signals were followed-up for meta-analysis with a previous GWAS (2751 cases/15 886 controls). We tested for enrichment of association signals in a broad range of functional annotations, and integrated statistical fine-mapping and experimental data to identify target genes.

Results

Our analysis provides evidence to support joint analysis of all JIA subtypes with the identification of five novel significant loci. Fine-mapping nominated causal single nucleotide polymorphisms with posterior inclusion probabilities ?50% in five JIA loci. Enrichment analysis identified RELA and EBF1 as key transcription factors contributing to disease risk. Our integrative approach provided compelling evidence to prioritise target genes at six loci, highlighting mechanistic insights for the disease biology and IL6ST as a potential drug target.

Conclusions

In a large JIA GWAS, we identify five novel risk loci and describe potential function of JIA association signals that will be informative for future experimental works and therapeutic strategies.

SUBMITTER: Lopez-Isac E

PROVIDER: S-EPMC7892389 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

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Publications

Combined genetic analysis of juvenile idiopathic arthritis clinical subtypes identifies novel risk loci, target genes and key regulatory mechanisms.

López-Isac Elena E Smith Samantha L SL Marion Miranda C MC Wood Abigail A Sudman Marc M Yarwood Annie A Shi Chenfu C Gaddi Vasanthi Priyadarshini VP Martin Paul P Prahalad Sampath S Eyre Stephen S Orozco Gisela G Morris Andrew P AP Langefeld Carl D CD Thompson Susan D SD Thomson Wendy W Bowes John J

Annals of the rheumatic diseases 20201026 3

<h4>Objectives</h4>Juvenile idiopathic arthritis (JIA) is the most prevalent form of juvenile rheumatic disease. Our understanding of the genetic risk factors for this disease is limited due to low disease prevalence and extensive clinical heterogeneity. The objective of this research is to identify novel JIA susceptibility variants and link these variants to target genes, which is essential to facilitate the translation of genetic discoveries to clinical benefit.<h4>Methods</h4>We performed a g ...[more]

PMID: 33106285

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Project description:Juvenile idiopathic arthritis (JIA) is an autoimmune disease that is characterized by persistent chronic arthritis and affected by genetic and environmental factors. Different genetic variations have been reported as risk factors for JIA. However, given that many results could not be replicated in individuals of different ancestral origin, it was assumed that heterogeneous genetic factors are involved in this disease. In the present study, we analyzed three single nucleotide polymorphisms (SNPs), namely PTPRC (rs10919563), TYK2 (rs34536443) and PRKCQ (rs4750316), which were found to be associated with JIA in previous studies. We also investigated whether the intron?4 located 27?bp VNTR of endothelial nitric oxide synthase (eNOS), is associated with risk for JIA in Greece. In total, 125 JIA patients and 221 healthy controls from northern Greece were included in the study as a sample set. Samples were then analyzed, and genotyped for the three SNPs with TaqMan primer?probe sets, using a Real?Time PCR platform (ViiA™ 7 Real?Time PCR system), while eNOS VNTR polymorphism was genotyped by PCR. Statistical analysis was performed using a GraphPad Prism statistical program. The ?2 test was used to examine differences of genotype and allele frequencies between patients and controls. Statistical significance was defined by using the two?tailed P<0.05 test. Bioinformatics analysis was conducted by using BlastP, Pymol, Maestro and Desmond. In the case?control association study performed, eNOS only was found to be associated with JIA. Genotype a/a and allele 'a' were found in a higher frequency in JIA patients than in controls [p<0.0001, odds ratio (OR)=0.15, 95% confidence intervals (CI): 0.065?0.37; and p<0.0001, OR=0.34, 95% CI: 0.23?0.49, respectively]. No associations with JIA were detected for TYK2, PTPRC or PRKCQ. Aiming to investigate the structural consequences and the structure/function relationships accompanying the Pro1104 to Ala (rs34536443) mutation on TYK2 protein, bioinformatics analysis was performed. Combining three?dimensional (3D)?modeling and molecular dynamics simulations we identified changes in structural flexibility, affecting the functionality of the kinase domain of TYK2. To the best of our knowledge, this is the first time that eNOS VNTR polymorphism is associated with susceptibility to JIA, suggesting a differential role of allele 'a' in various complex diseases. The current data emphasize the importance of comparative studies in populations of a different ancestral background towards the clarification of the role of specific alleles in the development of JIA.

Project description:OBJECTIVE:Juvenile idiopathic arthritis (JIA) is the most common childhood rheumatic disease and has a strong genomic component. To date, JIA genetic association studies have had limited sample sizes, used heterogeneous patient populations, or included only candidate regions. The aim of this study was to identify new associations between JIA patients with oligoarticular disease and those with IgM rheumatoid factor (RF)-negative polyarticular disease, which are clinically similar and the most prevalent JIA disease subtypes. METHODS:Three cohorts comprising 2,751 patients with oligoarticular or RF-negative polyarticular JIA were genotyped using the Affymetrix Genome-Wide SNP Array 6.0 or the Illumina HumanCoreExome-12+ Array. Overall, 15,886 local and out-of-study controls, typed on these platforms or the Illumina HumanOmni2.5, were used for association analyses. High-quality single-nucleotide polymorphisms (SNPs) were used for imputation to 1000 Genomes prior to SNP association analysis. RESULTS:Meta-analysis showed evidence of association (P < 1 × 10-6 ) at 9 regions: PRR9_LOR (P = 5.12 × 10-8 ), ILDR1_CD86 (P = 6.73 × 10-8 ), WDFY4 (P = 1.79 × 10-7 ), PTH1R (P = 1.87 × 10-7 ), RNF215 (P = 3.09 × 10-7 ), AHI1_LINC00271 (P = 3.48 × 10-7 ), JAK1 (P = 4.18 × 10-7 ), LINC00951 (P = 5.80 × 10-7 ), and HBP1 (P = 7.29 × 10-7 ). Of these, PRR9_LOR, ILDR1_CD86, RNF215, LINC00951, and HBP1 were shown, for the first time, to be autoimmune disease susceptibility loci. Furthermore, associated SNPs included cis expression quantitative trait loci for WDFY4, CCDC12, MTP18, SF3A1, AHI1, COG5, HBP1, and GPR22. CONCLUSION:This study provides evidence of both unique JIA risk loci and risk loci overlapping between JIA and other autoimmune diseases. These newly associated SNPs are shown to influence gene expression, and their bounding regions tie into molecular pathways of immunologic relevance. Thus, they likely represent regions that contribute to the pathology of oligoarticular JIA and RF-negative polyarticular JIA.

Project description:Juvenile idiopathic arthritis (JIA) is the most common rheumatological disease of childhood with a prevalence of around 1 in 1,000. Without appropriate treatment it can have devastating consequences including permanent disability from joint destruction and growth deformities. Disease aetiology remains unknown. Investigation of disease pathology at the level of the synovial membrane is required if we want to begin to understand the disease at the molecular and biochemical level. The synovial membrane proteome from early disease-stage, treatment naive JIA patients was compared between polyarticular and oligoarticular subgroups.Protein was extracted from 15 newly diagnosed, treatment naive JIA synovial membrane biopsies and separated by two dimensional fluorescent difference in-gel electrophoresis. Proteins displaying a two-fold or greater change in expression levels between the two subgroups were identified by matrix assisted laser desorption ionization-time of flight mass spectrometry with expression further verified by Western blotting and immunohistochemistry.Analysis of variance analysis (P???0.05) revealed 25 protein spots with a two-fold or greater difference in expression levels between polyarticular and oligoarticular patients. Hierarchical cluster analysis with Pearson ranked correlation revealed two distinctive clusters of proteins. Some of the proteins that were differentially expressed included: integrin alpha 2b (P?=?0.04); fibrinogen D fragment (P = 0.005); collagen type VI (P?=?0.03); fibrinogen gamma chain (P?=?0.05) and peroxiredoxin 2 (P?=?0.02). The identified proteins are involved in a number of different processes including platelet activation and the coagulation system.The data indicate distinct synovial membrane proteome profiles between JIA subgroups at an early stage in the disease process. The identified proteins also provide insight into differentially perturbed pathways which could influence pathological events at the joint level.

Dataset Information

Combined genetic analysis of juvenile idiopathic arthritis clinical subtypes identifies novel risk loci, target genes and key regulatory mechanisms.

Objectives

Methods

Results

Conclusions

Publications

Combined genetic analysis of juvenile idiopathic arthritis clinical subtypes identifies novel risk loci, target genes and key regulatory mechanisms.

Similar Datasets

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