Literature DB >> 35277229

Probabilistic genotyping of single cell replicates from complex DNA mixtures recovers higher contributor LRs than standard analysis.

Kaitlin Huffman1, Erin Hanson2, Jack Ballantyne3.   

Abstract

DNA mixtures are a common source of crime scene evidence and are often one of the more difficult sources of biological evidence to interpret. With the implementation of probabilistic genotyping (PG), mixture analysis has been revolutionized allowing previously unresolvable mixed profiles to be analyzed and probative genotype information from contributors to be recovered. However, due to allele overlap, artifacts, or low-level minor contributors, genotype information loss inevitably occurs. In order to reduce the potential loss of significant DNA information from donors in complex mixtures, an alternative approach is to physically separate individual cells from mixtures prior to performing DNA typing thus obtaining single source profiles from contributors. In the present work, a simplified micro-manipulation technique combined with enhanced single-cell DNA typing was used to collect one or few cells, referred to as direct single-cell subsampling (DSCS). Using this approach, single and 2-cell subsamples were collected from 2 to 6 person mixtures. Single-cell subsamples resulted in single source DNA profiles while the 2-cell subsamples returned either single source DNA profiles or new mini-mixtures that are less complex than the original mixture due to the presence of fewer contributors. PG (STRmix™) was implemented, after appropriate validation, to analyze the original bulk mixtures, single source cell subsamples, and the 2-cell mini mixture subsamples from the original 2-6-person mixtures. PG further allowed replicate analysis to be employed which, in many instances, resulted in a significant gain of genotype information such that the returned donor likelihood ratios (LRs) were comparable to that seen in their single source reference profiles (i.e., the reciprocal of their random match probabilities). In every mixture, the DSCS approach gave improved results for each donor compared to standard bulk mixture analysis. With the 5- and 6- person complex mixtures, DSCS recovered highly probative LRs (≥1020) from donors that had returned non-probative LRs (<103) by standard methods.
Copyright © 2022 The Chartered Society of Forensic Sciences. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cell isolation and recovery; Complex DNA mixture de-convolution; Forensic genetics; Micro-manipulation; Probabilistic genotyping; Single-cell analysis

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Substances:

Year:  2022        PMID: 35277229     DOI: 10.1016/j.scijus.2022.01.003

Source DB:  PubMed          Journal:  Sci Justice        ISSN: 1355-0306            Impact factor:   2.124


  3 in total

Review 1.  New Perspectives for Whole Genome Amplification in Forensic STR Analysis.

Authors:  Richard Jäger
Journal:  Int J Mol Sci       Date:  2022-06-25       Impact factor: 6.208

2.  Cell Subsampling Recovers Probative DNA Profile Information from Unresolvable/Undetectable Minor Donors in Mixtures.

Authors:  Kaitlin Huffman; Erin Hanson; Jack Ballantyne
Journal:  Genes (Basel)       Date:  2022-06-22       Impact factor: 4.141

3.  Probabilistic Genotyping of Single Cell Replicates from Mixtures Involving First-Degree Relatives Prevents the False Inclusions of Non-Donor Relatives.

Authors:  Kaitlin Huffman; Jack Ballantyne
Journal:  Genes (Basel)       Date:  2022-09-15       Impact factor: 4.141

  3 in total

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