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Historical Pedigree Reconstruction from Extant Populations Using PArtitioning of RElatives (PREPARE)

  • Doron Shem-Tov*
  • , Eran Halperin
  • *Corresponding author for this work
  • The Balvatnic School of Computer Science
  • Tel Aviv University
  • International Computer Science Institute

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Recent technological improvements in the field of genetic data extraction give rise to the possibility of reconstructing the historical pedigrees of entire populations from the genotypes of individuals living today. Current methods are still not practical for real data scenarios as they have limited accuracy and assume unrealistic assumptions of monogamy and synchronized generations. In order to address these issues, we develop a new method for pedigree reconstruction, PREPARE, which is based on formulations of the pedigree reconstruction problem as variants of graph coloring. The new formulation allows us to consider features that were overlooked by previous methods, resulting in a reconstruction of up to 5 generations back in time, with an order of magnitude improvement of false-negatives rates over the state of the art, while keeping a lower level of false positive rates. We demonstrate the accuracy of PREPARE compared to previous approaches using simulation studies over a range of population sizes, including inbred and outbred populations, monogamous and polygamous mating patterns, as well as synchronous and asynchronous mating.

Original languageEnglish
Article numbere1003610
JournalPLoS Computational Biology
Volume10
Issue number6
DOIs
StatePublished - Jun 2014

Funding

FundersFunder number
Department of Science and Technology, Ministry of Science and Technology
National Science FoundationIII-1217615, 1217615

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