Systems and methods for genetic identification and analysis

Abstract

The disclosure provides various systems and methods for identifying individuals from one or more samples. In particular, improved systems and methods of analysis are provided for handling multiple contributors, as well as systems and methods that model not only individual error rates per locus but factor in amplification of errors induced through PCR cycles. In some embodiments, modeling of error rates can be applied in multi-contributor settings to more accurately establish real alleles from artifacts. Other aspects involve application of sequencing in error modeling. Further, methods are provided for determining the presence of common individual DNA profiles in one or more complex DNA mixtures and for deconvolution of multiple complex DNA mixtures into shared individual components. The methods of the disclosure do not require any prior knowledge of individual DNA profiles or contributors to the complex DNA mixtures. Moreover, the methods of the disclosure may use any SNP panel, including those panels already existing and those panels specifically designed to maximize performance characteristics of the methods described herein.