Estimating Individual Contributions to Complex DNA SNP Mixtures

J Forensic Sci. 2019 Sep;64(5):1468-1474. doi: 10.1111/1556-4029.14030. Epub 2019 Feb 22.

Abstract

High-throughput sequencing (HTS) of large panels of single nucleotide polymorphisms (SNPs) provides an alternative or complimentary approach to short tandem repeats (STRs) panels for the analysis of complex DNA mixture forensic samples. For STRs, methods to estimate individual contribution concentrations compare capillary electrophoresis peak heights, peak areas, or HTS allele read counts within a mixture. This article introduces three approaches (mean, median, and slope methods) for estimating individual DNA contributions to forensic mixtures for HTS/massively parallel sequencing (MPS) SNP panels. For SNPs, the major:minor allele ratios or counts, unique to each contributor, were compared to estimate contributor proportion within the mixture using the mean, median, and slope intercept for these alleles. The estimates for these three methods were typically within 5% of planned experimental contributions for defined mixtures.

Keywords: DNA forensics; forensic science; high-throughput sequencing; massively parallel sequencing; mixture analysis; single nucleotide polymorphism.

MeSH terms

  • Alleles
  • DNA / genetics*
  • DNA Fingerprinting
  • Forensic Genetics / methods
  • High-Throughput Nucleotide Sequencing*
  • Humans
  • Linear Models
  • Polymorphism, Single Nucleotide*

Substances

  • DNA

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