Literature DB >> 15461102

Matching and partially-matching DNA profiles.

Bruce S Weir1.   

Abstract

The DNA profiles of two individuals can have 0, 1, or 2 pairs of alleles that are the same at each locus. These events may be called mismatches, partial matches or matches, respectively, and they have probabilities that depend on the population proportions of alleles as well as the population structure parameter theta. The observed and expected numbers of pairs of individuals with various numbers of matching or partially matching loci in FBI and Australian databases are found to be in good agreement provided theta is set equal to some small value greater than zero. The likelihood ratios for two individuals having a specified degree of relationship versus being unrelated also depend on the numbers of matching and partially matching loci, but even unrelated pairs of individuals can have likelihood ratios that support hypotheses of relatedness. Matching probabilities allow predictions to be made for the sizes of databases that are expected to contain a pair of individuals with high numbers of matching loci. It is very likely that two individuals with at least 9 matching loci among the 13 CODIS loci have already been typed.

Mesh:

Year:  2004        PMID: 15461102

Source DB:  PubMed          Journal:  J Forensic Sci        ISSN: 0022-1198            Impact factor:   1.832


  10 in total

1.  A graphical approach to multi-locus match probability computation: revisiting the product rule.

Authors:  Yun S Song; Montgomery Slatkin
Journal:  Theor Popul Biol       Date:  2006-12-15       Impact factor: 1.570

2.  THE RARITY OF DNA PROFILES.

Authors:  Bruce S Weir
Journal:  Ann Appl Stat       Date:  2007       Impact factor: 2.083

3.  Can simple population genetic models reconcile partial match frequencies observed in large forensic databases?

Authors:  Laurence D Mueller
Journal:  J Genet       Date:  2008-08       Impact factor: 1.166

4.  Partial matches in heterogeneous offender databases do not call into question the validity of random match probability calculations.

Authors:  Bruce Budowle; F Samuel Baechtel; Ranajit Chakraborty
Journal:  Int J Legal Med       Date:  2008-05-06       Impact factor: 2.686

5.  A population genetic database of cat breeds developed in coordination with a domestic cat STR multiplex.

Authors:  Marilyn Menotti-Raymond; Victor A David; Bruce S Weir; Stephen J O'Brien
Journal:  J Forensic Sci       Date:  2012-01-23       Impact factor: 1.832

6.  Match probabilities in a finite, subdivided population.

Authors:  Anna-Sapfo Malaspinas; Montgomery Slatkin; Yun S Song
Journal:  Theor Popul Biol       Date:  2011-01-23       Impact factor: 1.570

7.  SNPs and SNVs in forensic science.

Authors:  Bruce S Weir; Xiuwen Zheng
Journal:  Forensic Sci Int Genet Suppl Ser       Date:  2015-10-01

8.  Average probability that a "cold hit" in a DNA database search results in an erroneous attribution.

Authors:  Yun S Song; Anand Patil; Erin E Murphy; Montgomery Slatkin
Journal:  J Forensic Sci       Date:  2008-11-21       Impact factor: 1.832

9.  mixIndependR: a R package for statistical independence testing of loci in database of multi-locus genotypes.

Authors:  Bing Song; August E Woerner; John Planz
Journal:  BMC Bioinformatics       Date:  2021-01-06       Impact factor: 3.169

10.  Estimating Genetic Relatedness in Admixed Populations.

Authors:  Arun Sethuraman
Journal:  G3 (Bethesda)       Date:  2018-10-03       Impact factor: 3.154

  10 in total

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