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 |
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Hauptverfasser: | , , , , , , , , , , |
Format: | Artikel |
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. |
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ISSN: | 1872-4973 1878-0326 |
DOI: | 10.1016/j.fsigen.2014.09.003 |