Determining the effects of genetic linkage when using a combination of STR and SNP loci for kinship testing.

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
Read More Add to Saved list
  • Additional Information
    • Source:
      Publisher: Elsevier Science Ireland Ltd Country of Publication: Ireland NLM ID: 100889186 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-4162 (Electronic) Linking ISSN: 13446223 NLM ISO Abbreviation: Leg Med (Tokyo) Subsets: MEDLINE
    • Publication Information:
      Publication: <2003->: East Park, Co. Clare, Ireland : Elsevier Science Ireland Ltd.
      Original Publication: Tokyo : Japanese Society of Legal Medicine, c1999-
    • Subject Terms:
      Polymorphism, Single Nucleotide* ; Microsatellite Repeats*/genetics ; Genetic Linkage* ; Pedigree*; Humans ; Forensic Genetics/methods ; Software ; Likelihood Functions ; Gene Frequency/genetics ; Algorithms ; Genetic Markers ; DNA Fingerprinting/methods
    • Abstract:
      The pedigree likelihood ratio (LR) can be used for determining kinship in the forensic kinship testing. LR can be obtained by analyzing the DNA data of Short tandem repeat (STR) and single nucleotide polymorphism (SNP) loci. With the advancement of biotechnology, increasing number of genetic markers have been identified, thereby expanding the pedigree range of kinship testing. Moreover, some of the loci are physically closer to each other and genetic linkage between loci is inevitable. LRs can be calculated by accounting for linkage or ignoring linkage (LR linkage and LR ignore , respectively). GeneVisa is a software for kinship testing (www.genevisa.net) and adopts the Lander-Green algorithm to deal with genetic linkage. Herein, we used the simulation program of the software GeneVisa to investigate the effects of genetic linkage on 1st-degree, 2nd-degree, and 3rd-degree kinship testing. We used this software to simulate LR linkage and LR ignore values based on 43 STRs and 134 SNPs in commercial kits by using the allele frequency rate and genetic distance data of the European population. The effects of linkage on LR distribution and LRs of routine cases were investigated by comparing the LR linkage values with the LR ignore values. Our results revealed that the linkage effect on LR distributions is small, but the effect on LRs of routine cases may be large. Moreover, the results indicated that the discriminatory power of genetic markers for kinship testing can be improved by accounting for linkage.
      Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
      (Copyright © 2024 Elsevier B.V. All rights reserved.)
    • Contributed Indexing:
      Keywords: DNA testing; Kinship; Lander-green algorithm; Linkage; Paternity testing; Pedigree likelihood
    • Accession Number:
      0 (Genetic Markers)
    • Publication Date:
      Date Created: 20240410 Date Completed: 20240715 Latest Revision: 20240715
    • Publication Date:
      20240716
    • Accession Number:
      10.1016/j.legalmed.2024.102441
    • Accession Number:
      38599008