Evidence map›Paper›PMID 25677350›Full record

ArticleIntervirology2015

HLA-B alleles B*15:01 and B*15:02: opposite association with hepatitis C virus infection in Chinese voluntary blood donors.

Huaping Xiong, Jieting Huang, Xia Rong, Ming Zhang, Ke Huang, Ru Xu, Min Wang, Chengyao Li, Qiao Liao, Wenjie Xia and 6 more

Open access · bronzeAbstract read
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Article in Intervirology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 28% 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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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

4 citing papers in PubMed, 13 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

16 authors at 5 institutions in 2 countries.

Huaping XiongGuangzhou Blood Center, Guangzhou, Guangdong, China.
Jieting Huang
Xia Rong
Ming Zhang
Ke Huang
Ru Xu
Min Wang
Chengyao Li
Qiao Liao
Wenjie Xia
Guangping Luo
Xin Ye
Ling Lu
Yongshui Fu
Tai Guo
Kenrad Nelson
Guangzhou Blood Center · CNJohns Hopkins University · USNational Institutes for Food and Drug Control · CNSouthern Medical University · CNUniversity of Kansas · US

Funding

HCV Genotype 6: A Model for HCV Genetics and Molecular Epidemiology StudiesR01AI080734 · NIAID · UNIVERSITY OF UTAH · PI LU, LING · 2009 to 2011
$1.1M
NIAID NIH HHS 5 R01 AI080734-03ANIAID NIH HHS R01 AI080734
6 · The paper itself

Abstract

backgroundAlthough human leukocyte antigens (HLA) have been shown in association with the outcomes of hepatitis C virus (HCV) infection among different ethnic groups, such studies remain absent in China, where the HCV prevalence is higher than the global average.

methodsIn this study, 426 HCV-infected and 709 uninfected blood donors were analyzed, among whom the HLA alleles were sequenced using a high-resolution genotyping method.

resultsAt the 2-digit level, none of the alleles showed a statistical difference between the HCV-infected and uninfected groups. However, at the 4-digit level, the HLA-B alleles B*15:01 and B*15:02 showed an opposite association with HCV infection, i.e. B*15:01 was significantly higher in the HCV-infected group (odds ratio, OR = 1.561, p = 0.010), while B*15:02 was significantly higher in the uninfected group (OR = 0.778, p = 0.016). We also identified a higher frequency of B*13:02 in the HCV-infected group (OR = 1.515, p = 0.009) and a higher frequency of B*07:05 in the uninfected group (OR = 0.299, p = 0.001).

conclusionsThe frequencies of four HLA alleles, B*07:05, B*13:02, B*15:01, and B*15:02, were found to be significantly different between the HCV-infected and uninfected blood donors in China, revealing an inverse relation of B*15:01 and B*15:02 with HCV infection. This finding suggests that the ethnic genetic variations of HLA may greatly affect the host immune responses against HCV.

Indexed as

Genes, MHC Class IAdultAllelesAsian PeopleBlood DonorsChinaFemaleGenotypeHaplotypesHepatitis C, ChronicHLA-B15 AntigenHumansMaleSequence Analysis, DNAYoung AdultHLA-B15 Antigen

Identifiers

PMID25677350
PMCPMC4394015
OpenAlexW2065770813

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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.