Literature DB >> 19040670

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

Yun S Song1, Anand Patil, Erin E Murphy, Montgomery Slatkin.   

Abstract

We consider a hypothetical series of cases in which the DNA profile of a crime-scene sample is found to match a known profile in a DNA database (i.e., a "cold hit"), resulting in the identification of a suspect based only on genetic evidence. We show that the average probability that there is another person in the population whose profile matches the crime-scene sample but who is not in the database is approximately 2(N - d)p(A), where N is the number of individuals in the population, d is the number of profiles in the database, and p(A) is the average match probability (AMP) for the population. The AMP is estimated by computing the average of the probabilities that two individuals in the population have the same profile. We show further that if a priori each individual in the population is equally likely to have left the crime-scene sample, then the average probability that the database search attributes the crime-scene sample to a wrong person is (N - d)p(A).

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 19040670      PMCID: PMC5124364          DOI: 10.1111/j.1556-4029.2008.00917.x

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


  13 in total

1.  The DNA database search controversy.

Authors:  David J Balding
Journal:  Biometrics       Date:  2002-03       Impact factor: 2.571

2.  CODIS STR loci data from 41 sample populations.

Authors:  B Budowle; B Shea; S Niezgoda; R Chakraborty
Journal:  J Forensic Sci       Date:  2001-05       Impact factor: 1.832

3.  Assessing uncertainty in DNA evidence caused by sampling effects.

Authors:  J M Curran; J S Buckleton; C M Triggs; B S Weir
Journal:  Sci Justice       Date:  2002 Jan-Mar       Impact factor: 2.124

4.  DNA database searches and the legal consumption of scientific evidence.

Authors:  P Donnelly; R D Friedman
Journal:  Mich Law Rev       Date:  1997-02

5.  Likelihood ratios for evaluating DNA evidence when the suspect is found through a database search.

Authors:  A Stockmarr
Journal:  Biometrics       Date:  1999-09       Impact factor: 2.571

6.  Matching and partially-matching DNA profiles.

Authors:  Bruce S Weir
Journal:  J Forensic Sci       Date:  2004-09       Impact factor: 1.832

7.  Genetic fingerprinting.

Authors:  Alec J Jeffreys
Journal:  Nat Med       Date:  2005-10       Impact factor: 53.440

8.  The sensitivity of the Bayesian HPD method to the choice of prior.

Authors:  C M Triggs; T M Curran
Journal:  Sci Justice       Date:  2006 Jul-Sep       Impact factor: 2.124

9.  Evaluating DNA profile evidence when the suspect is identified through a database search.

Authors:  D J Balding; P Donnelly
Journal:  J Forensic Sci       Date:  1996-07       Impact factor: 1.832

Review 10.  The utility of short tandem repeat loci beyond human identification: implications for development of new DNA typing systems.

Authors:  R Chakraborty; D N Stivers; B Su; Y Zhong; B Budowle
Journal:  Electrophoresis       Date:  1999-06       Impact factor: 3.535

View more
  4 in total

1.  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

2.  Personalized inherent randomness of the immune system is manifested by an individualized response to immune triggers and immunomodulatory therapies: a novel platform for designing personalized immunotherapies.

Authors:  Madi El-Haj; Dimitri Kanovitch; Yaron Ilan
Journal:  Immunol Res       Date:  2019-10       Impact factor: 2.829

Review 3.  Forensic genetics through the lens of Lewontin: population structure, ancestry and race.

Authors:  Mark A Jobling
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2022-04-18       Impact factor: 6.671

4.  Multi-locus match probability in a finite population: a fundamental difference between the Moran and Wright-Fisher models.

Authors:  Anand Bhaskar; Yun S Song
Journal:  Bioinformatics       Date:  2009-06-15       Impact factor: 6.937

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.