Robust detection of individual forensic profiles in DNA mixtures

Highlights • A panel of 480 low minor allele frequency SNPs was developed to reliably detect contributors in complex DNA mixtures. • DNA from 3, 5, 8, 10 and 15-person mixtures was sequenced and analyzed. • A statistical model of Probability of Random Man Not Excluded [ P ( RMNE )] was developed. P(...

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Veröffentlicht in:Forensic science international : genetics 2015-01, Vol.14, p.31-37
Hauptverfasser: Isaacson, J, Schwoebel, E, Shcherbina, A, Ricke, D, Harper, J, Petrovick, M, Bobrow, J, Boettcher, T, Helfer, B, Zook, C, Wack, E
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Sprache:eng
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Zusammenfassung:Highlights • A panel of 480 low minor allele frequency SNPs was developed to reliably detect contributors in complex DNA mixtures. • DNA from 3, 5, 8, 10 and 15-person mixtures was sequenced and analyzed. • A statistical model of Probability of Random Man Not Excluded [ P ( RMNE )] was developed. P( RMNE ) model incorporates varying allele frequency across loci and mismatched alleles in the mixture and reference profiles. • With zero mismatches, detection of individuals can be obtained in 10-person mixtures equimolar DNA samples with a P ( RMNE ) of 5.9 × 10−6. • The method is being extended to larger SNP panels and forensic “touch” samples.
ISSN:1872-4973
1878-0326
DOI:10.1016/j.fsigen.2014.09.003