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The application of cluster analysis methods to the analysis of BSE strain typing data - SE0242

Recent research work has demonstrated that the statistical methods used in “cluster analysis” can be used to distinguish TSE strains and reveal hitherto undetected structures and relationships in mouse first passage data. In a separate application we are proposing to apply these statistical techniques to a wider dataset of strain typing results, using data from both the VLA and the IAH, to attempt to identify a definitive set of standard strain signatures, with which future samples can be compared. The primary aim of that proposal is to help improve the strain characterisation of sheep TSEs, which have been the focus of method development to-date.

This proposal, which is complementary to the sheep TSE proposal, is concerned with exploring the application of the techniques more specifically to BSE. The project will:
· Establish standard reference clusters for BSE using strain typing data from VLA Weybridge
· Propose objective criteria for determining whether a new case of suspected BSE has affinities with either of the two scrapie clusters defined in previous work or with the BSE cluster
· Establish the experimental conditions necessary for successful diagnosis on the basis of mouse bioassay strain typing.
Time-Scale and Cost
From: 2005

To: 2005

Cost: £39,914
Contractor / Funded Organisations
Risk Solutions, Veterinary Laboratories Agency
Animal Health              
Plants and Animals              
Fields of Study
Animal Health