Computational and Mathematical Methods in Medicine

Computational and Mathematical Methods in Medicine / 2010 / Article

Original Article | Open Access

Volume 11 |Article ID 348630 | https://doi.org/10.1080/17486700903170712

Szymon Wasik, Paulina Jackowiak, Jacek B. Krawczyk, Paweł Kedziora, Piotr Formanowicz, Marek Figlerowicz, Jacek Błażewicz, "Towards Prediction of HCV Therapy Efficiency", Computational and Mathematical Methods in Medicine, vol. 11, Article ID 348630, 15 pages, 2010. https://doi.org/10.1080/17486700903170712

Towards Prediction of HCV Therapy Efficiency

Received06 Feb 2009
Accepted30 Jun 2009

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.

Copyright © 2010 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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