Evidence map›Paper›PMID 22138674›Full record

ArticleRheumatology international2012

Genetic polymorphisms of the DNA repair gene UNG are associated with the susceptibility of rheumatoid arthritis.

Sui-Foon Lo, Lei Wan, Chung-Ming Huang, Hsiu-Chen Lin, Shih-Yin Chen, Su-Ching Liu, Fuu-Jen Tsai

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Article in Rheumatology international, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 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

7 authors at 3 institutions in 1 country.

Sui-Foon LoDepartment of Physical Medicine and Rehabilitation, China Medical University Hospital, Taichung, Taiwan.
Lei Wan
Chung-Ming Huang
Hsiu-Chen Lin
Shih-Yin Chen
Su-Ching Liu
Fuu-Jen Tsai
China Medical University Hospital · TWAsia University · TWChina Medical University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The involvement of uracil-DNA glycosylase (UNG) in the pathogenesis of cancer is well documented. In contrast, the role of this protein in rheumatoid arthritis (RA) development is not well defined, although previous studies suggest a possible link between autoimmune diseases and malignancy. Therefore, we aimed to examine whether there is a link between UNG genetic polymorphisms and RA. Our present study investigated the effects of UNG (rs3219218 and rs246079) single nucleotide polymorphisms (SNPs) on RA among Taiwan's Han Chinese population. Polymorphism of the UNG gene was analyzed in 192 controls and 183 RA patients. Genotyping for UNG SNPs was performed by restriction fragment length polymorphism assay. Our data confirmed statistically significant variations in genotype frequency distributions at rs246079 SNP between RA patients and controls (P = 3.05 × 10(-4)). The G allele at rs246079 SNP is a high-risk factor in developing RA (odds ratio [OR] = 1.77; 95% confidence interval [CI] = 1.290-2.42). A comparison of haplotype frequencies between the case and the control revealed that RA patients with the Ht2 haplotype are at additional risk for RA development (P = 0.042). Our data yielded new information on UNG polymorphisms associated with RA development and as RA molecular markers. The polymorphisms revealed by the present study merit further investigation.

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideAdultAllelesArthritis, RheumatoidAsian PeopleFemaleGene FrequencyGenotypeHaplotypesHumansMaleTaiwanUracil-DNA GlycosidaseUracil-DNA Glycosidase

Identifiers

PMID22138674
OpenAlexW2097144482

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.