Literature DB >> 18321883

PedMine--a simulated annealing algorithm to identify maximally unrelated individuals in population isolates.

Julie A Douglas1, Conner I Sandefur.   

Abstract

UNLABELLED: In family-based genetic studies, it is often useful to identify a subset of unrelated individuals. When such studies are conducted in population isolates, however, most if not all individuals are often detectably related to each other. To identify a set of maximally unrelated (or equivalently, minimally related) individuals, we have implemented simulated annealing, a general-purpose algorithm for solving difficult combinatorial optimization problems. We illustrate our method on data from a genetic study in the Old Order Amish of Lancaster County, Pennsylvania, a population isolate derived from a modest number of founders. Given one or more pedigrees, our program automatically and rapidly extracts a fixed number of maximally unrelated individuals. AVAILABILITY: http://www.hg.med.umich.edu/labs/douglaslab/software.html (version 1.0.0).

Mesh:

Year:  2008        PMID: 18321883      PMCID: PMC2862369          DOI: 10.1093/bioinformatics/btn087

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


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