Evidence map›Paper›PMID 24996883›Full record

ArticleGut2015

Additive effects of HLA alleles and innate immune genes determine viral outcome in HCV infection.

Karen Fitzmaurice, Jacob Hurst, Megan Dring, Andri Rauch, Paul J McLaren, Huldrych F Günthard, Clair Gardiner, Paul Klenerman, Irish HCV Research Consortium, Swiss HIV Cohort Study

Open access · hybridAbstract read
In one paragraph

Article in Gut, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
3.7field-weighted citation impact, top 5% 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

37 citing papers in PubMed, 72 citations in OpenAlex.

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  10. Relevance between COVID-19 and host genetics of immune response.Saudi journal of biological sciences · 2021
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  15. Adaptive Immune Response against Hepatitis C Virus.International journal of molecular sciences · 2020
    Review
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  18. Observational
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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

10 authors at 5 institutions in 3 countries.

Karen FitzmauriceNuffield Department of Medicine, University of Oxford, Oxford, UK.
Jacob HurstNuffield Department of Medicine, University of Oxford, Oxford, UK Institute of Emerging Infection, The Oxford Martin School, University of Oxford, Oxford, UK.
Megan DringNatural Killer Cell Research Group, School of Biochemistry and Immunology, Trinity Biomedical Sciences Institute, Trinity College, Dublin 2, Ireland.
Andri RauchUniversity Clinic of Infectious Diseases, University Hospital Bern and University of Bern, Bern, Switzerland.
Paul J McLarenInstitute of Microbiology, University Hospital and University of Lausanne, Lausanne, Switzerland.
Huldrych F GünthardDivision of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Clair GardinerNatural Killer Cell Research Group, School of Biochemistry and Immunology, Trinity Biomedical Sciences Institute, Trinity College, Dublin 2, Ireland.
Paul KlenermanNuffield Department of Medicine, University of Oxford, Oxford, UK NIHR Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK.
Irish HCV Research Consortium
Swiss HIV Cohort Study
University of Oxford · GBTrinity College Dublin · IEUniversity Hospital of Bern · CHUniversity Hospital of Zurich · CHUniversity of Lausanne · CH

Funding

Wellcome Trust 091663Wellcome Trust WT091663MA
6 · The paper itself

Abstract

backgroundChronic HCV infection is a leading cause of liver-related morbidity globally. The innate and adaptive immune responses are thought to be important in determining viral outcomes. Polymorphisms associated with the IFNL3 (IL28B) gene are strongly associated with spontaneous clearance and treatment outcomes.

objectiveThis study investigates the importance of HLA genes in the context of genetic variation associated with the innate immune genes IFNL3 and KIR2DS3.

designWe assess the collective influence of HLA and innate immune genes on viral outcomes in an Irish cohort of women (n=319) who had been infected from a single source as well as a more heterogeneous cohort (Swiss Cohort, n=461). In the Irish cohort, a number of HLA alleles are associated with different outcomes, and the impact of IFNL3-linked polymorphisms is profound.

resultsLogistic regression was performed on data from the Irish cohort, and indicates that the HLA-A*03 (OR 0.36 (0.15 to 0.89), p=0.027) -B*27 (OR 0.12 (0.03 to 0.45), p=<0.001), -DRB1*01:01 (OR 0.2 (0.07 to 0.61), p=0.005), -DRB1*04:01 (OR 0.31 (0.12 to 0.85, p=0.02) and the CC IFNL3 rs12979860 genotypes (OR 0.1 (0.04 to 0.23), p<0.001) are significantly associated with viral clearance. Furthermore, DQB1*02:01 (OR 4.2 (2.04 to 8.66), p=0.008), KIR2DS3 (OR 4.36 (1.62 to 11.74), p=0.004) and the rs12979860 IFNL3 'T' allele are associated with chronic infection. This study finds no interactive effect between IFNL3 and these Class I and II alleles in relation to viral clearance. There is a clear additive effect, however. Data from the Swiss cohort also confirms independent and additive effects of HLA Class I, II and IFNL3 genes in their prediction of viral outcome.

conclusionsThis data supports a critical role for the adaptive immune response in the control of HCV in concert with the innate immune response.

Indexed as

Genes, MHC Class IGenes, MHC Class IIAdaptive ImmunityAdolescentAdultAgedAllelesCohort StudiesFemaleGenotypeHepatitis C, ChronicHLA-A3 AntigenHLA-B27 AntigenHLA-C AntigensHumansImmunity, InnateHLA-A*03 antigenHLA-A3 AntigenHLA-B27 AntigenHLA-C AntigensInterferon Lambdainterferon-lambda, humanInterferonsInterleukinsKIR2DS3 protein, humanReceptors, KIRHepatitis CHLAImmunogeneticsImmunology in HepatologyT Lymphocytes

Identifiers

PMID24996883
PMCPMC4392199
OpenAlexW2097314575

What OpenQuestion holds

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LicenceCC BY
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.