Scientific article
OA Policy
English

IL28B, HLA-C, and KIR variants additively predict response to therapy in chronic hepatitis C virus infection in a European Cohort: a cross-sectional study

Published inPLoS medicine, vol. 8, no. 9, e1001092
Publication date2011
Abstract

To date, drug response genes have not proved as useful in clinical practice as was anticipated at the start of the genomic era. An exception is in the treatment of chronic hepatitis C virus (HCV) genotype 1 infection with pegylated interferon-alpha and ribavirin (PegIFN/R). Viral clearance is achieved in 40%-50% of patients. Interleukin 28B (IL28B) genotype predicts treatment-induced and spontaneous clearance. To improve the predictive value of this genotype, we studied the combined effect of variants of IL28B with human leukocyte antigen C (HLA-C), and its ligands the killer immunoglobulin-like receptors (KIR), which have previously been implicated in HCV viral control.

Keywords
  • Adult
  • Alleles
  • Antiviral Agents/therapeutic use
  • Case-Control Studies
  • Cohort Studies
  • Cross-Sectional Studies
  • Drug Therapy, Combination
  • European Continental Ancestry Group
  • Female
  • Genotype
  • HLA-C Antigens/genetics
  • Hepacivirus/immunology/pathogenicity
  • Hepatitis C, Chronic/genetics/immunology/therapy/virology
  • Humans
  • Interferon-alpha/therapeutic use
  • Interleukins/genetics
  • Killer Cells, Natural/immunology
  • Male
  • Middle Aged
  • Odds Ratio
  • Pharmacogenetics/methods
  • Polymorphism, Single Nucleotide
  • Predictive Value of Tests
  • RNA, Viral/analysis
  • Receptors, KIR/genetics
  • Receptors, KIR2DL3/genetics
  • Ribavirin/therapeutic use
  • Treatment Outcome
  • Viral Load
Citation (ISO format)
SUPPIAH, Vijayaprakash et al. IL28B, HLA-C, and KIR variants additively predict response to therapy in chronic hepatitis C virus infection in a European Cohort: a cross-sectional study. In: PLoS medicine, 2011, vol. 8, n° 9, p. e1001092. doi: 10.1371/journal.pmed.1001092
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Article (Published version)
accessLevelPublic
Identifiers
Journal ISSN1549-1277
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277downloads

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