Now, a tool to sharpen prediction of fluPublished On: Tue, Oct 2nd, 2012 | Flu | By BioNews
Flu season being around the corner, getting a vaccine might help prevent people from falling sick. But there is a rider. The vaccines only work if their developers have accurately predicted which virus strains are likely to be active.
Recently, a team of scientists from Germany and Britain improved methods used to determine which strains of the flu virus to include in the current season’s vaccine.
“Seasonal influenza kills about half a million people per year, but improved vaccines can curb this number,” said Michael Lassig, study author from the Institute for Theoretical Physics, University of Cologne, Koln, Germany, the journal GENETICS reported.
“Although this study is some distance from direct applications, it is a necessary step toward improved prediction methods. We hope that it helps yield better vaccines against influenza,” Lassig added, according to a Cologne statement.
To make this advance, scientists analyzed the DNA sequences of thousands of flu strains isolated from patients worldwide, dating to 1968.
By analyzing this dataset, researchers were able to determine which strains were most successful at expanding into the entire population, and which mutations were least successful in spreading.
Using a new statistical tool, researchers found that many more mutations than we thought initially succeed in replicating and surviving. These mutations compete; some make it into the entire population, others die out.
This analysis of the virus enables the prediction of trends which can help vaccine developers understand the rules of flu virus evolution.
This knowledge, in turn, can be used to predict which strains of the virus are most likely to spread through a human population.
Strelkowa N, Lässig M. Clonal Interference in the Evolution of Influenza. Genetics. 2012 Aug 3. [Epub ahead of print] PubMed PMID: 22851649.