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Haplotyping for Disease Association: A Combinatorial Approach

Published: 01 April 2008 Publication History

Abstract

We consider a combinatorial problem derived from haplotyping a population with respect to a genetic disease, either recessive or dominant. Given a set of individuals, partitioned into healthy and diseased, and the corresponding sets of genotypes, we want to infer ``bad'' and ``good'' haplotypes to account for these genotypes and for the disease. Assume e.g. the disease is recessive. Then, the resolving haplotypes must consist of \emph{bad} and \emph{good} haplotypes, so that (i) each genotype belonging to a diseased individual is explained by a pair of bad haplotypes and (ii) each genotype belonging to a healthy individual is explained by a pair of haplotypes of which at least one is good. We prove that the associated decision problem is NP-complete. However, we also prove that there is a simple solution, provided the data satisfy a very weak requirement.

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cover image IEEE/ACM Transactions on Computational Biology and Bioinformatics
IEEE/ACM Transactions on Computational Biology and Bioinformatics  Volume 5, Issue 2
April 2008
158 pages

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IEEE Computer Society Press

Washington, DC, United States

Publication History

Published: 01 April 2008
Published in TCBB Volume 5, Issue 2

Author Tags

  1. Biology and genetics
  2. Combinatorics
  3. Discrete Mathematics

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