DNA mixture interpretation of SNP sequencing data for investigative genetic genealogy

The University of Colorado Anschutz Medical Campus proposes a computational biology project focused on “DNA interpretation of Single Nucleotide Polymorphism (SNP) sequencing data for investigative genetic genealogy”. The purpose is to increase the number of samples that are eligible for genetic genealogy in forensic investigations. The project activities include investigating the characteristics and patterns of SNP mixture data to establish a limit of detection; develop a model that deconvolutes 2-person mixtures with or without a known reference sample (e.g., victim); and evaluate the accuracy of genetic genealogy searches of deconvoluted profiles across different populations. The expected outcomes include a transparent and user-friendly bioinformatics framework that detects SNP mixture data and deconvolutes 2-person mixtures, recommendations for the detection of mixtures in forensic samples and an evaluation of the accuracy of investigative genetic genealogy when using deconvoluted profiles. Informed by our results, forensic scientists, crime laboratories and partnering investigative genetic genealogy companies are the intended beneficiaries of the project. Importantly, the increased number of forensic samples eligible for investigative genetic genealogy will increase public safety and help bring closure to crime victims, therefore, communities across the nation will also benefit from this research project. CA/NCF