Evidence map›Paper›PMID 41445665›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Functional and Computational Interrogation of the Juvenile Idiopathic Arthritis Risk Loci Identifies Candidate Causal SNPs and Target Genes in CD4+ T cells.

Kaiyu Jiang, Emma K Haley, Gilad Barshad, Adam He, Anita Rogic, Edward J Rice, Marc Sudman, Susan D Thompson, Charles G Danko, James N Jarvis

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Kaiyu JiangDepartments of Pediatrics and Internal Medicine/Rheumatology, University of Washington School of Medicine, Seattle, WA, USA.
Emma K HaleyDepartment of Pediatrics, University at Buffalo Jacobs School of Medicine School Medicine & Biomedical Sciences, Buffalo, NY, USA.
Gilad BarshadBaker Institute of Veterinary Medicine, Cornell University, Ithaca, NY, USA.
Adam HeBaker Institute of Veterinary Medicine, Cornell University, Ithaca, NY, USA.
Anita RogicBaker Institute of Veterinary Medicine, Cornell University, Ithaca, NY, USA.
Edward J RiceBaker Institute of Veterinary Medicine, Cornell University, Ithaca, NY, USA.
Marc SudmanCenter for Autoimmune Genomics and Etiology, Cincinnati Children's Medical Center, Cincinnati, OH, USA.
Susan D ThompsonCenter for Autoimmune Genomics and Etiology, Cincinnati Children's Medical Center, Cincinnati, OH, USA.
Charles G DankoBaker Institute of Veterinary Medicine, Cornell University, Ithaca, NY, USA.
James N JarvisDepartments of Pediatrics and Internal Medicine/Rheumatology, University of Washington School of Medicine, Seattle, WA, USA.

Funding

Tissue Repository CoreP30AR070549 · NIAMS · CINCINNATI CHILDRENS HOSP MED CTR · PI Leah Claire Kottyan · 2016 to 2026
$7.7M
Epigenetic Mechanisms That Drive Genetic Risk in Juvenile ArthritisR01AR078785 · NIAMS · UNIVERSITY OF WASHINGTON · PI JAMES N JARVIS · 2022 to 2026
$3.1M
Using Chromatin Architecture to Develop of Therapeutic Pipeline for Juvenile ArthritisR21AR076948 · NIAMS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI JARVIS, JAMES N · 2020 to 2021
$381k
NIAMS NIH HHS P30 AR070549NIAMS NIH HHS R01 AR078785NIAMS NIH HHS R21 AR076948
6 · The paper itself

Abstract

GWAS have identified multiple genetic regions that confer risk for juvenile idiopathic arthritis (JIA). However, identifying the single nucleotide polymorphisms (SNPs) that drive disease risk has been impeded by the fact that the SNPs used to identify risk loci are in linkage disequilibrium (LD) with hundreds of other SNPs. Since the causal SNPs remain unknown, it is difficult to identify target genes and thus use genetic information to elucidate disease biology and inform patient care. We next used existing genotyping data from 3,939 children with JIA and 14,412 healthy controls to identify SNPs on JIA risk haplotypes that: present within open chromatin in multiple immune cell types and more common in children with JIA than the controls (p<0.05) in the genotyping data sets. We identified SNPs within cis-regulatory regions (CREs) using precision run-on sequencing data, and identified likely target genes using MicroC in both resting and activated CD4+ T cells. We identified 138 SNPs within the PROseq-identified CREs, and n=41 genes with which these CREs physically interacted. Data from GTEx corroborated these analyses by showing allelic effects for SNPs within the CREs in the

Identifiers

PMID41445665
PMCPMC12723983

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.