Evidence map›Paper›PMID 22901011›Full record

ArticleGenetic testing and molecular biomarkers2012

JAK1 gene polymorphisms are associated with the outcomes of hepatitis B virus infection, but not with α interferon therapy response in a Han Chinese population.

Kangmei Chen, Hanyi Min, Xiaopan Wu, Xilin Zhu, Zhuo Li, Hui Li, Ying Liu

Abstract read
In one paragraph

Article in Genetic testing and molecular biomarkers, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 41% 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 6 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 2 institutions in 3 countries.

Kangmei ChenNational Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, P.R. China.
Hanyi Min
Xiaopan Wu
Xilin Zhu
Zhuo Li
Hui Li
Ying Liu
Chinese Academy of Medical Sciences & Peking Union Medical College · CNCapital University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsJanus kinase 1 (JAK1) is a key member in the interferon (IFN) signaling pathway. Recent studies suggested single-nucleotide polymorphisms (SNPs) in IFN pathway genes are associated with outcomes of hepatitis B virus (HBV) infection and response to IFNα therapy. The aim of the study is to investigate whether SNPs in JAK1 were associated with outcomes of HBV infection and response to IFNα therapy.

methodsWe enrolled 395 chronic hepatitis B (CHB) patients and 251 subjects with the inactive carrier state, and 256 CHB patients who received IFNα treatment, with therapy efficacy evaluated. Twelve SNPs: rs310227, rs7531799, rs7546545, rs17127174, rs3790541, rs10493373, rs2780898, rs310247, rs310196, rs2780895, rs4244165, and rs17127024 in JAK1, which could represent all SNPs with minor allele frequency >0.2 recorded in the HapMap database were genotyped using a polymerase chain reaction-restriction fragment length polymorphism protocol and the TaqMan method.

resultsSNP rs17127024 was associated with outcomes of HBV infection in an allele frequency (p=0.014) and genotype distributions (p=0.031), while SNP rs4244165 was associated with outcomes of HBV infection only in genotype distributions (p=0.008). There were no significant differences in allele frequencies and genotype distributions of these SNPs between the response group and the nonresponse group to IFNα therapy.

conclusionsSNPs rs4244165 and rs17127024 in JAK1 were associated with outcomes of HBV infection, but not with response to IFNα therapy.

Indexed as

Polymorphism, Single NucleotideAdultAntiviral AgentsAsian PeopleDisease ProgressionFemaleGene FrequencyGenetic Predisposition to DiseaseGenotypeHepatitis B, ChronicHepatitis B virusHumansInterferon-alphaJanus Kinase 1MaleTreatment OutcomeAntiviral AgentsInterferon-alphaJAK1 protein, humanJanus Kinase 1

Identifiers

PMID22901011
PMCPMC3468121
OpenAlexW1993299345

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.