Methodology and software to detect viral integration site hot-spots.

ABSTRACT:

Background

Modern gene therapy methods have limited control over where a therapeutic viral vector inserts into the host genome. Vector integration can activate local gene expression, which can cause cancer if the vector inserts near an oncogene. Viral integration hot-spots or 'common insertion sites' (CIS) are scrutinized to evaluate and predict patient safety. CIS are typically defined by a minimum density of insertions (such as 2-4 within a 30-100 kb region), which unfortunately depends on the total number of observed VIS. This is problematic for comparing hot-spot distributions across data sets and patients, where the VIS numbers may vary.

Results

We develop two new methods for defining hot-spots that are relatively independent of data set size. Both methods operate on di

SUBMITTER: Presson AP 

PROVIDER: S-EPMC3203353 | biostudies-literature | 2011 Sep

REPOSITORIES: biostudies-literature