Evidence map›Paper›PMID 22294846›Full record

ArticleWorld journal of gastroenterology2012

No association between IRF3 polymorphism and susceptibility to hepatitis B virus infection in Chinese patients.

Fang Yan, Yu-Feng Gao, Feng Lv, Tian-Chen Zhang, Xu Li, Hua-Fa Yin

Open access · hybridAbstract read
In one paragraph

Article in World journal of gastroenterology, 2012. 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
–field-weighted citation impact, top 88% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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.

Fang YanDepartment of Infectious Diseases, The First Affiliated Hospital of Anhui Medical University, Hefei 230032, Anhui Province, China.
Yu-Feng Gao
Feng Lv
Tian-Chen Zhang
Xu Li
Hua-Fa Yin
Anhui Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo investigate the association between three tag single nucleotide polymorphisms (tagSNPs) in interferon regulatory factors (IRF3) and the genetic susceptibility to chronic hepatitis B virus (HBV) infection.

methodsWe performed a case-control study of 985 Chinese cases of chronic HBV infection and 294 self-limiting HBV-infected individuals as controls. Three tagSNPs in IRF3 (rs10415576, rs2304204, rs2304206) were genotyped with the Multiplex SNaPshot technique. The genotype and allele frequencies were calculated and analyzed.

resultsThe three SNPs showed no significant genotype/allele associations with chronic HBV infection. Overall allele P values were: rs10415576, P = 0.0908, odds ratio (OR) [95% confidence interval (CI)] = 1.1798 (0.9740-1.4291); rs2304204, P = 0.5959, OR (95% CI) = 1.0597 (0.8552-1.3133); rs2304206, P = 0.8372, OR (95% CI) = 1.0250 (0.8097-1.2976). Overall genotype P values were: rs10415576, P = 0.2106; rs2304204, P = 0.8458; rs2304206, P = 0.8315. There were no statistically significant differences between patients with chronic HBV infection and controls. Haplotypes generated by these three SNPs were also not significantly different between the two groups.

conclusionThe three tagSNPs of IRF3 are not associated with HBV infection in the Han Chinese population.

Indexed as

Disease SusceptibilityPolymorphism, Single NucleotideAdultAsian PeopleCase-Control StudiesFemaleGene FrequencyGenotypeHepatitis BHepatitis B, ChronicHumansInterferon Regulatory Factor-3MaleInterferon Regulatory Factor-3IRF3 protein, humanChronic hepatitis B virus infectionGenetic susceptibilityHaplotypeInterferon regulatory factors tag single nucleotide polymorphisms

Identifiers

PMID22294846
PMCPMC3261535
OpenAlexW2072044640

What OpenQuestion holds

Textmetadata
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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.