Evidence map›Paper›PMID 34021268›Full record

ArticleGenes and immunity2021

Association of methylation level and transcript level in TRAF5 gene with ankylosing spondylitis: a case-control study.

Shanshan Xu, Xing Gao, Yubo Ma, Jixiang Deng, Shengqian Xu, Faming Pan

Abstract read
PubMed Publisher
In one paragraph

Article in Genes and immunity, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

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

5 citing papers in PubMed, 11 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Shanshan Xu *Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Xing Gao *Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Yubo MaDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Jixiang DengDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Shengqian XuDepartment of Rheumatism and Immunity, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Faming PanDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China. famingpan@ahmu.edu.cn.ORCID http://orcid.org/0000-0003-4242-1025
Anhui Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To explore the association between methylation level and transcript level of TNF receptor-associated factor 5 (TRAF5) gene with ankylosing spondylitis (AS) in Chinese Han population. Methylation and mRNA expression level of the TRAF5 gene were tested in 98 patients and 98 healthy controls. Among the 21 CpG sites, methylation levels at eight sites were significantly different between AS patients and healthy controls. However, only three sites remained significantly different after the correction by the Benjamini-Hochberg method. Compared with controls, the CpG island of TRAF5 gene promoter was highly methylated in AS patients, and the relative mRNA expression level of TRAF5 was significantly reduced in AS patients. And the mRNA level was negatively correlated with the methylation level of TRAF5 gene in AS patients (r

Indexed as

Spondylitis, AnkylosingTNF Receptor-Associated Factor 5Case-Control StudiesCpG IslandsDNA MethylationHLA-B27 AntigenHumansHLA-B27 AntigenTNF Receptor-Associated Factor 5TRAF5 protein, human

Identifiers

PMID34021268
OpenAlexW3160370487

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.