Meta analysis of whole-genome linkage scans with data uncertainty: an application to Parkinson's disease.

ABSTRACT:

Background

Genome wide linkage scans have often been successful in the identification of genetic regions containing susceptibility genes for a disease. Meta analysis is used to synthesize information and can even deliver evidence for findings missed by original studies. If researchers are not contributing their data, extracting valid information from publications is technically challenging, but worth the effort. We propose an approach to include data extracted from published figures of genome wide linkage scans. The validity of the extraction was examined on the basis of those 25 markers, for which sufficient information was reported. Monte Carlo simulations were used to take into account the uncertainty in marker position and in linkage test statistic. For the final meta analysis

SUBMITTER: Rosenberger A 

PROVIDER: S-EPMC1940020 | biostudies-literature | 2007 Jul

REPOSITORIES: biostudies-literature