Evidence map›Paper›PMID 33076506›Full record

ReviewCells2020

The Multi-Omics Architecture of Juvenile Idiopathic Arthritis.

Xiaoyuan Hou, Huiqi Qu, Sipeng Zhang, Xiaohui Qi, Hakon Hakonarson, Qianghua Xia, Jin Li

Abstract readReview
In one paragraph

Review in Cells, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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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

7 authors.

Xiaoyuan HouDepartment of Cell Biology, the Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China.
Huiqi QuCenter for Applied Genomics, the Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.ORCID 0000-0001-9317-4488
Sipeng ZhangDepartment of Cell Biology, the Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China.
Xiaohui QiDepartment of Cell Biology, the Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China.
Hakon HakonarsonCenter for Applied Genomics, the Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.
Qianghua XiaDepartment of Cell Biology, the Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China.
Jin LiDepartment of Cell Biology, the Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Juvenile idiopathic arthritis (JIA) is highly heterogeneous in terms of etiology and clinical presentation with ambiguity in JIA classification. The advance of high-throughput omics technologies in recent years has gained us significant knowledge about the molecular mechanisms of JIA. Besides a minor proportion of JIA cases as monogenic, most JIA cases are polygenic disease caused by autoimmune mechanisms. A number of

Indexed as

EpigenomeTranscriptomeArthritis, JuvenileAutoimmune DiseasesGenetic Predisposition to DiseaseGenome-Wide Association StudyHLA AntigensHumansMultifactorial InheritanceHLA Antigensepigeneticsgeneticsgenome-wide association studyjuvenile idiopathic arthritistranscriptome

Identifiers

PMID33076506
PMCPMC7602566

What OpenQuestion holds

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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.