Get access

DNAc: A Clustering Method for Identifying Kinship Relations Between DNA Profiles Using a Novel Similarity Measure

Authors

  • Aimé Ntwari M.Sc.,

    1. Division of Genetics, Department of Paediatrics, Faculty of Medicine and Health Sciences, University of Sherbrooke, 3001 12th Avenue North, Sherbrooke, QC J1H 5N4, Canada.
    Search for more papers by this author
    • These authors contributed equally.

  • Abdellali Kelil Ph.D.,

    1. Michnick Laboratory, Department of Biochemistry, Faculty of Medicine, University of Montreal, 2900, boulevard Édouard-Montpetit, Montreal, QC H3T 1J4, Canada.
    Search for more papers by this author
    • These authors contributed equally.

  • Régen Drouin Ph.D., M.D.,

    1. Division of Genetics, Department of Paediatrics, Faculty of Medicine and Health Sciences, University of Sherbrooke, 3001 12th Avenue North, Sherbrooke, QC J1H 5N4, Canada.
    Search for more papers by this author
  • Ernest Monga Ph.D.,

    1. Department of Mathematic, Faculty of Science, University of Sherbrooke, 2500, boul. de l’Université, Sherbrooke, QC J1K 2R1, Canada.
    Search for more papers by this author
  • Shengrui Wang Ph.D.,

    1. ProspectUS Laboratory, Department of Computer Science, Faculty of Science, University of Sherbrooke, 2500, boul. de l’Université Sherbrooke, QC J1K 2R1, Canada.
    Search for more papers by this author
  • Ryszard Brzezinski Ph.D.,

    1. Molecular Biotechnology Laboratory, Department of Biology, Faculty of Science, University of Sherbrooke, 2500, boul. de l’Université Sherbrooke, QC J1K 2R1, Canada.
    Search for more papers by this author
  • Marc Bronsard M.Sc.,

    1. Division of Genetics, Department of Paediatrics, Faculty of Medicine and Health Sciences, University of Sherbrooke, 3001 12th Avenue North, Sherbrooke, QC J1H 5N4, Canada.
    Search for more papers by this author
  • Ju Yan Ph.D.

    1. Division of Genetics, Department of Paediatrics, Faculty of Medicine and Health Sciences, University of Sherbrooke, 3001 12th Avenue North, Sherbrooke, QC J1H 5N4, Canada.
    Search for more papers by this author

  • This study was supported by grants from Fonds de la Recherche en Santé du Québec (FRSQ), Fondation des étoiles, Faculté de médecine et des sciences de la santé of Université de Sherbrooke, and Centre de Recherche Clinique Étienne-Le Bel to J. Yan.

Additional information—reprints not available from author:
Ju Yan, Ph.D.
Division of Genetics
Department of Paediatrics
Faculty of Medicine and Health Sciences
University of Sherbrooke
3001 12th Avenue North
Sherbrooke, QC J1H 5N4, Canada
E-mail: ju.yan@usherbrooke.ca

Abstract

Abstract:  After decades of refinement, DNA testing methods have become essential tools in forensic sciences. They are essentially based on likelihood ratio test principle, which is utilized specifically, by using as prior knowledge the allele frequencies in the population, to confirm or refute a given kinship hypothesis made on two genotypes. This makes these methods ill suited when allele frequencies or kinship hypotheses are unavailable. In this paper, we introduce DNAc, a new clustering methodology for DNA testing based on a new similarity measure that allows an accurate retrieval of the degree of relatedness among two or more genotypes, without relying on kinship hypotheses or allele frequencies in the population. We used DNAc in analyzing microsatellite DNA sequences distributed among 12 genotypes from normal individuals from two distinct families. The results show that DNAc accurately determines kinship among genotypes and further gathers them in the appropriate kinship groups.

Ancillary