Literature DB >> 20857132

Pedigree likelihood ratio for lineage markers.

Jianye Ge1, Arthur Eisenberg, Jiangwei Yan, Ranajit Chakraborty, Bruce Budowle.   

Abstract

Lineage-based haplotype markers (e.g., Y chromosome STRs and mitochondrial DNA sequences) are important adjunct tools to the autosomal markers for kinship analysis and for specialized kinship applications such as database searching. Traditionally, the prosecution or kinship hypothesis considers the haplotypes in the same lineage and the probability of genotype data given the lineage hypothesis is simply set at 1 if the number of mismatched loci or nucleotides between the questioned person and the references is less than a predefined threshold. In this study, a kinship hypothesis based on a fixed relationship of the questioned person in the reference family is introduced. A graphical model is proposed to calculate the probability of the genotype data given the kinship hypothesis, which is the product of haplotype frequency of the founder in the pedigree and the transmission probability from the founder to all descendants. Proper mutation models are suggested for Y chromosome STRs and mitochondrial DNA sequence variants (i.e., SNPs) to calculate the transmission probability. The methods to infer the genotypes of the untyped individuals in the pedigree and the computational complexity of handling these untyped individuals are also addressed. Lastly, numerical examples of the applications are given to demonstrate the kinship hypothesis and the algorithms.

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Year:  2010        PMID: 20857132     DOI: 10.1007/s00414-010-0514-9

Source DB:  PubMed          Journal:  Int J Legal Med        ISSN: 0937-9827            Impact factor:   2.686


  35 in total

1.  Mitochondrial DNA regions HVI and HVII population data.

Authors:  B Budowle; M R Wilson; J A DiZinno; C Stauffer; M A Fasano; M M Holland; K L Monson
Journal:  Forensic Sci Int       Date:  1999-07-12       Impact factor: 2.395

2.  The mutation rate in the human mtDNA control region.

Authors:  S Sigurğardóttir; A Helgason; J R Gulcher; K Stefansson; P Donnelly
Journal:  Am J Hum Genet       Date:  2000-04-07       Impact factor: 11.025

Review 3.  Considerations by the European DNA profiling (EDNAP) group on the working practices, nomenclature and interpretation of mitochondrial DNA profiles.

Authors:  G Tully; W Bär; B Brinkmann; A Carracedo; P Gill; N Morling; W Parson; P Schneider
Journal:  Forensic Sci Int       Date:  2001-12-15       Impact factor: 2.395

4.  Hypervariable sites in the mtDNA control region are mutational hotspots.

Authors:  M Stoneking
Journal:  Am J Hum Genet       Date:  2000-08-30       Impact factor: 11.025

5.  Mutations at Y-STR loci: implications for paternity testing and forensic analysis.

Authors:  M Kayser; A Sajantila
Journal:  Forensic Sci Int       Date:  2001-05-15       Impact factor: 2.395

6.  The pedigree rate of sequence divergence in the human mitochondrial genome: there is a difference between phylogenetic and pedigree rates.

Authors:  Neil Howell; Christy Bogolin Smejkal; D A Mackey; P F Chinnery; D M Turnbull; Corinna Herrnstadt
Journal:  Am J Hum Genet       Date:  2003-02-04       Impact factor: 11.025

7.  Texas population substructure and its impact on estimating the rarity of Y STR haplotypes from DNA evidence*.

Authors:  Bruce Budowle; Jianye Ge; Xavier G Aranda; John V Planz; Arthur J Eisenberg; Ranajit Chakraborty
Journal:  J Forensic Sci       Date:  2009-07-15       Impact factor: 1.832

8.  Estimation of mutation rates from parentage exclusion data: applications to STR and VNTR loci.

Authors:  R Chakraborty; D N Stivers; Y Zhong
Journal:  Mutat Res       Date:  1996-07-05       Impact factor: 2.433

9.  DNA identification by pedigree likelihood ratio accommodating population substructure and mutations.

Authors:  Jianye Ge; Bruce Budowle; Ranajit Chakraborty
Journal:  Investig Genet       Date:  2010-10-04

10.  Heteroplasmic mitochondrial DNA mutations in normal and tumour cells.

Authors:  Yiping He; Jian Wu; Devin C Dressman; Christine Iacobuzio-Donahue; Sanford D Markowitz; Victor E Velculescu; Luis A Diaz; Kenneth W Kinzler; Bert Vogelstein; Nickolas Papadopoulos
Journal:  Nature       Date:  2010-03-03       Impact factor: 49.962

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  1 in total

1.  Use of prior odds for missing persons identifications.

Authors:  Bruce Budowle; Jianye Ge; Ranajit Chakraborty; Harrell Gill-King
Journal:  Investig Genet       Date:  2011-06-27
  1 in total

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