Towards prediction of HCV therapy efficiency (Q612807)
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scientific article; zbMATH DE number 5830394
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Towards prediction of HCV therapy efficiency |
scientific article; zbMATH DE number 5830394 |
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Towards prediction of HCV therapy efficiency (English)
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30 December 2010
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Summary: We investigate a correlation between the genetic diversity of hepatitis C virus populations 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.
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