Simplification of complex DNA profiles using front end cell separation and probabilistic modeling.

ABSTRACT: Forensic samples comprised of cell populations from multiple contributors often yield DNA profiles that can be extremely challenging to interpret. This frequently results in decreased statistical strength of an individual's association to the mixture and the loss of probative data. The purpose of this study was to test a front-end cell separation workflow on complex mixtures containing as many as five contributors. Our approach involved selectively labelling certain cell populations in dried whole blood mixture samples with fluorescently labeled antibody probe targeting the HLA-A*02 allele, separating the mixture using Fluorescence Activated Cell Sorting (FACS) into two fractions that are enriched in A*02 positive and A*02 negative cells, and then generating DNA profiles for each fraction.

SUBMITTER: Stokes NA 

PROVIDER: S-EPMC6120788 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature