Volume 54, Issue 1 pp. 22-27

Average Probability that a “Cold Hit” in a DNA Database Search Results in an Erroneous Attribution

Yun S. Song Ph.D.

Yun S. Song Ph.D.

Departments of EECS and Statistics, University of California, Berkeley, CA 94720-1776.

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Anand Patil Ph.D.

Anand Patil Ph.D.

Department of Zoology, University of Oxford, The Tinbergen Building, South Parks Road, Oxford, OX1 3PS, U.K.

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Erin E. Murphy J.D.

Erin E. Murphy J.D.

School of Law, University of California, Berkeley, CA 94720-7200.

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Montgomery Slatkin Ph.D.

Montgomery Slatkin Ph.D.

Department of Integrative Biology, University of California, Berkeley, CA 94720-3140.

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First published: 29 December 2008
Citations: 13
Additional information and reprint requests:
Montgomery Slatkin, Ph.D.
Department of Integrative Biology
University of California
Berkeley, CA 94720-3140
E-mail: [email protected]

Abstract

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)pA, where N is the number of individuals in the population, d is the number of profiles in the database, and pA 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)pA.

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