Inferring the Number of Contributors to Complex DNA Mixtures Using Three Methods: Exploring the Limits of Low-Template DNA Interpretation
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Lauren E. Alfonse [1] ; Genesis Tejada [1] ; Harish Swaminathan [2] ; Desmond S. Lun [2] ; Catherine M. Grgicak [1]
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[1] Boston University
Boston University
City of Boston, Estados Unidos
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[2] Rutgers University
Rutgers University
City of New Brunswick, Estados Unidos
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- Localización: Journal of forensic sciences, ISSN-e 1556-4029, ISSN 0022-1198, Vol. 62, Nº. 2, 2017, págs. 308-316
- Idioma: inglés
- Texto completo no disponible (Saber más ...)
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Resumen
In forensic DNA casework, the interpretation of an evidentiary profile may be dependent upon the assumption on the number of individuals from whom the evidence arose. Three methods of inferring the number of contributors—NOCIt, maximum likelihood estimator, and maximum allele count, were evaluated using 100 test samples consisting of one to five contributors and 0.5–0.016 ng template DNA amplified with Identifiler Plus and PowerPlex 16 HS. Results indicate that NOCIt was the most accurate method of the three, requiring 0.07 ng template DNA from any one contributor to consistently estimate the true number of contributors. Additionally, NOCIt returned repeatable results for 91% of samples analyzed in quintuplicate, while 50 single-source standards proved sufficient to calibrate the software. The data indicate that computational methods that employ a quantitative, probabilistic approach provide improved accuracy and additional pertinent information such as the uncertainty associated with the inferred number of contributors.
