Volume 56, Issue 1 pp. 186-193

Multivariate Analysis for Estimating the Age of a Bloodstain*

Stacey E. Anderson Ph.D.

Stacey E. Anderson Ph.D.

Department of Biology, West Virginia University, PO Box 6057, Morgantown, WV 26506-6057.

Present Address: Health Effects Laboratory Division, National Institute for Occupational Safety and Health, 1095 Willowdale Road (M/S 4020), Morgantown, WV 26505.

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Gerald R. Hobbs Ph.D.

Gerald R. Hobbs Ph.D.

Department of Statistics, West Virginia University, PO Box 6330, Morgantown, WV 26506-6057.

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Clifton P. Bishop Ph.D.

Clifton P. Bishop Ph.D.

Department of Biology, West Virginia University, PO Box 6057, Morgantown, WV 26506-6057.

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First published: 14 September 2010
Citations: 46
Additional information and reprint requests:
Clifton Bishop, Ph.D.
Associate Professor
Department of Biology
West Virginia University
PO Box 6057
Morgantown, WV 26506-6057
E-mail: [email protected]

Presented in part at the Fourth Annual DNA Grantees’ Workshop, June 2003, in Washington, DC.

Abstract

Abstract: Our objective is to provide crime laboratories with a technique for estimating the age of a bloodstain. Toward that goal, we have used multiplexed, real-time RT-PCR (or qPCR) to determine the relative stability of different-sized segments of the same RNA species as well as differences in stability between two different RNAs’ change over time in bloodstains. Our results indicate that a multivariate analysis of the changing ratio of the different RNA segments can be used to differentiate between samples of different ages in the defined population. Bloodstains from 29 of 30 donors could be partitioned into different ages using this technique. Although further improvements will be required before this approach can be implemented in crime laboratories, the multivariate analysis holds promise of providing a reliable approach for temporally linking a bloodstain to the commission of a crime or excluding a bloodstain as being irrelevant to the case in question.

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