Evidence map›Paper›PMID 38336809›Full record

ArticleArthritis research & therapy2024

Large-scale integrative analysis of juvenile idiopathic arthritis for new insight into its pathogenesis.

Daeun Kim, Jaeseung Song, Nicholas Mancuso, Serghei Mangul, Junghyun Jung, Wonhee Jang

Open access · goldAbstract read
In one paragraph

Article in Arthritis research & therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.4field-weighted citation impact, top 20% of its field
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

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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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Daeun KimDepartment of Life Sciences, Dongguk University-Seoul, Seoul, 04620, Republic of Korea.
Jaeseung SongDepartment of Life Sciences, Dongguk University-Seoul, Seoul, 04620, Republic of Korea.
Nicholas MancusoCenter for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Serghei MangulDepartment of Quantitative and Computational Biology, USC Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, CA, USA.
Junghyun Jung *Department of Life Sciences, Dongguk University-Seoul, Seoul, 04620, Republic of Korea. junghyun.jung@cshs.org.
Wonhee Jang *Department of Life Sciences, Dongguk University-Seoul, Seoul, 04620, Republic of Korea. wany@dongguk.edu.
Dongguk University · KRUniversity of Southern California · US

Funding

National Research Foundation of Korea NRF-2021R1A2C1008804
6 · The paper itself

Abstract

backgroundJuvenile idiopathic arthritis (JIA) is one of the most prevalent rheumatic disorders in children and is classified as an autoimmune disease (AID). While a robust genetic contribution to JIA etiology has been established, the exact pathogenesis remains unclear.

methodsTo prioritize biologically interpretable susceptibility genes and proteins for JIA, we conducted transcriptome-wide and proteome-wide association studies (TWAS/PWAS). Then, to understand the genetic architecture of JIA, we systematically analyzed single-nucleotide polymorphism (SNP)-based heritability, a signature of natural selection, and polygenicity. Next, we conducted HLA typing using multi-ethnicity RNA sequencing data. Additionally, we examined the T cell receptor (TCR) repertoire at a single-cell level to explore the potential links between immunity and JIA risk.

resultsWe have identified 19 TWAS genes and two PWAS proteins associated with JIA risks. Furthermore, we observe that the heritability and cell type enrichment analysis of JIA are enriched in T lymphocytes and HLA regions and that JIA shows higher polygenicity compared to other AIDs. In multi-ancestry HLA typing, B*45:01 is more prevalent in African JIA patients than in European JIA patients, whereas DQA1*01:01, DQA1*03:01, and DRB1*04:01 exhibit a higher frequency in European JIA patients. Using single-cell immune repertoire analysis, we identify clonally expanded T cell subpopulations in JIA patients, including CXCL13

conclusionOur findings shed new light on the pathogenesis of JIA and provide a strong foundation for future mechanistic studies aimed at uncovering the molecular drivers of JIA.

Indexed as

Arthritis, JuvenileAllelesChildGenetic Predisposition to DiseaseHumansProteinsProteinsJuvenile idiopathic arthritisMulti-ethnicity RNA typingT cell receptor (TCR) repertoireTranscriptome-wide and proteome-wide association studies

Identifiers

PMID38336809
PMCPMC10858498
OpenAlexW4391718079

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Registered trials

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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.