DocumentCode :
951899
Title :
Computational Problems in Perfect Phylogeny Haplotyping: Typing without Calling the Allele
Author :
Barzuza, T. ; Beckmann, J.S. ; Shamir, Ron
Author_Institution :
Weizmann Inst. of Sci., Rehovot
Volume :
5
Issue :
1
fYear :
2008
Firstpage :
101
Lastpage :
109
Abstract :
A haplotype is an m-long binary vector. The XOR-genotype of two haplotypes is the m-vector of their coordinate-wise XOR. We study the following problem: Given a set of XOR-genotypes, reconstruct their haplotypes so that the set of resulting haplotypes can be mapped onto a perfect phylogeny (PP) tree. The question is motivated by studying population evolution in human genetics and is a variant of the PP haplotyping problem that has received intensive attention recently. Unlike the latter problem, in which the input is "full" genotypes, here, we assume less informative input and so may be more economical to obtain experimentally. Building on ideas of Gusfield, we show how to solve the problem in polynomial time by a reduction to the graph realization problem. The actual haplotypes are not uniquely determined by the tree they map onto and the tree itself may or may not be unique. We show that tree uniqueness implies uniquely determined haplotypes, up to inherent degrees of freedom, and give a sufficient condition for the uniqueness. To actually determine the haplotypes given the tree, additional information is necessary. We show that two or three full genotypes suffice to reconstruct all the haplotypes and present a linear algorithm for identifying those genotypes.
Keywords :
biology computing; evolution (biological); genetics; graph theory; polynomials; XOR-genotypes; graph realization problem; human genetics; m-long binary vector; perfect phylogeny tree; phylogeny haplotyping; polynomial time; population evolution; Graph Realization; Haplotypes; Perfect Phylogeny; XOR-genotypes; Algorithms; Evolution, Molecular; Genetics, Population; Genotype; Haplotypes; Heterozygote; Homozygote; Humans; Internet; Models, Genetic; Phylogeny; Polymorphism, Single Nucleotide; Software;
fLanguage :
English
Journal_Title :
Computational Biology and Bioinformatics, IEEE/ACM Transactions on
Publisher :
ieee
ISSN :
1545-5963
Type :
jour
DOI :
10.1109/TCBB.2007.1063
Filename :
4359858
Link To Document :
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