Towards Prediction of HCV Therapy efficiency

Szymon Wasik, Jackowiak Paulina, Jacek Krawczyk, Pawel Kedziora, Piotr Formanowicz, Marek Figlerowicz, Jacek Blazewicz

Research output: Contribution to specialist publicationArticle

10 Citations (Scopus)

Abstract

We investigate a correlation between genetic diversity of hepatitis C virus population and the level of viral RNA accumulation in patient blood. Genetic diversity is defined as the mean Hamming distance between all pairs of virus RNA sequences representing the population. We have found that a low Hamming distance (i.e. low genetic diversity) correlates with a high RNA level; symmetrically, high diversity corresponds to a low RNA level. We contend that the obtained correlation strength justifies the use of the viral RNA level as a measure enabling prediction of efficiency of an established therapy. We also propose that patient qualification for therapy, based on viral RNA level, improves its efficiency.

Original languageEnglish
Pages185-199
Number of pages15
Volume11
No.2
Specialist publicationComputational and Mathematical Methods in Medicine
DOIs
Publication statusPublished - 1 Jun 2010

Keywords

  • Genetic diversity
  • HCV
  • RNA levels
  • Therapeutic efficiency
  • Transition probabilities

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