Identifying mutation regions for closely related individuals without a known pedigree.

ABSTRACT:

Background

Linkage analysis is the first step in the search for a disease gene. Linkage studies have facilitated the identification of several hundred human genes that can harbor mutations leading to a disease phenotype. In this paper, we study a very important case, where the sampled individuals are closely related, but the pedigree is not given. This situation happens very often when the individuals share a common ancestor 6 or more generations ago. To our knowledge, no algorithm can give good results for this case.

Results

To solve this problem, we first developed some heuristic algorithms for haplotype inference without any given pedigree. We propose a model using the parsimony principle that can be viewed as an extension of the model first proposed by Dan Gusfield. Our

SUBMITTER: Cui W 

PROVIDER: S-EPMC3507658 | biostudies-literature | 2012 Jun

REPOSITORIES: biostudies-literature