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NCJ Number: 249336 Find in a Library
Title: SNP-microarrays Can Accurately Identify the Presence of an Individual in Complex Forensic DNA Mixtures
Journal: Forensic Science International - Genetics  Volume:16  Dated:May 2015  Pages:208-215
Author(s): Lev Voskoboinik; Sheri B. Ayers; Aaron K. LeFebvre; Ariel Darvasi
Date Published: May 2015
Page Count: 8
Sponsoring Agency: National Institute of Justice (NIJ)
Washington, DC 20531
Grant Number: 2011-DN-BX-K555
Document: HTML
Type: Report (Grant Sponsored); Report (Study/Research); Research (Applied/Empirical)
Format: Article; Document (Online)
Language: English
Country: United States of America
Annotation: This study evaluated the practical usefulness of currently available “off-the-shelf” SNP microarrays for identifying the presence of an individual in a mixture of several contributors in DNA samples from a mass disaster.
Abstract: The study found that a set of 3000 SNPs specifically selected for this purpose can accurately identify the presence of an individual in complex DNA mixtures of various compositions; for example, individuals contributing as little as 5 percent to a complex DNA mixture can be robustly identified even when the starting DNA amount is as little as 5.0 ng and had undergone whole-genome amplification (WGA) prior to SNP analysis. The work presented in this study represents proof-of-principle that the authors previously proposed approach can work with real “forensic-type” samples. Furthermore, in the absence of a low-density focused forensic SNP microarray, the use of standard, currently available high-density SNP microarrays can be similarly used and even increase statistical power due to the larger amount of available information. (Publisher abstract modified)
Main Term(s): Forensic sciences
Index Term(s): DNA Typing; Investigative techniques; Mixed DNA profiles; NIJ grant-related documents; NIJ Resources; Suspect identification; Victim identification
To cite this abstract, use the following link:
http://www.ncjrs.gov/App/publications/abstract.aspx?ID=271480

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