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Discovering Kinship through Small Subsets

  • Daniel G. Brown
  • Tanya Berger-Wolf
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6293)

Abstract

In kinship inference, we identify genealogical relationships among organisms. One such problem is sibgroup reconstruction: given a population of same-generation individuals, partition it into sibgroups resulting from mating events. Minimizing the number of matings is NP-hard to approximate, yet a simple heuristic, based on identifying population triplets that can be from the same sibgroup, performs comparably to better than integer programming algorithms in a fraction of the running time. With high probability if we study many loci in the genome, and large populations, our polynomial-time heuristic finds the true sibgroups, assuming a standard probabilistic inheritance model.

Keywords

Failure Probability Simple Heuristic Full Sibling Sibling Relationship Population Member 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Daniel G. Brown
    • 1
  • Tanya Berger-Wolf
    • 2
  1. 1.Cheriton School of Computer ScienceUniversity of WaterlooWaterlooCanada
  2. 2.Department of Computer ScienceUniversity of Illinois at ChicagoChicagoUSA

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