Evidence map›Paper›PMID 23624553›Full record

ArticleRheumatology international2013

A study on the association between C1GALT1 polymorphisms and the risk of Henoch-Schönlein purpura in a Chinese population.

JinDan An, Qiang Lü, HongTao Zhao, Yong Cao, Bin Yan, Zhihong Ma

Abstract read
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In one paragraph

Article in Rheumatology international, 2013. 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
0.9field-weighted citation impact, top 22% 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, 12 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Galactosylation of IgA1 Is Associated with Common Variation inJournal of the American Society of Nephrology : JASN · 2017
    Article
  5. Review
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.

JinDan AnKey Laboratory of Cancer Prevention and Treatment of Heilongjiang Province, Mudanjiang Medical University, Mudanjiang, China.
Qiang Lü
HongTao Zhao
Yong Cao
Bin Yan
Zhihong Ma
Mudanjiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Henoch-Schönlein purpura (HSP) is the most common systemic vasculitis of childhood. The molecular etiology of HSP is not well understood. The purpose of this study is to investigate the association between polymorphisms in C1GALT1 gene and the risk of HSP in a Chinese population. A total of unrelated 542 northern Chinese were enrolled in this study. PCR-RFLP method was used to genotype the five tagging SNPs in the C1GALT1 gene. Chi-squared test and logistic regression analysis were used for the comparison of genotype distribution between cases and controls. The five tagging SNPs were all in Hardy-Weinberg equilibrium in controls. SNP7 was significantly associated with HSP risk, P = 0.005. The DI genotype, compared with the DD genotype, was associated with a significantly higher risk of developing HSP (OR 1.72; 95 % CI 1.11-2.67). The II genotype, compared with the DD genotype, was associated with a significantly higher risk of developing HSP (OR 3.39; 95 % CI 1.16-9.30). Other SNPs were not associated with HSP risk. Variations in the C1GALT1 gene were found to be associated with HSP risk. Further studies are warranted to validate our findings and to investigate into its underlining mechanism.

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideAdolescentAllelesAsian PeopleCase-Control StudiesChildChild, PreschoolChinaFemaleGalactosyltransferasesGene FrequencyGenetic Association StudiesGenotypeHumansIgA VasculitisC1GALT1 protein, humanGalactosyltransferases

Identifiers

PMID23624553
OpenAlexW2005588668

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.