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                            Library & Multimedia
 Modeling allelic analyte signals for aSTRs in NGS DNA profiles
NCJ Number
              304035
Journal

*Journal of Forensic Sciences* Volume: 66 Issue: 4 Dated: 2021 Pages: 1234-1245
Author(s)
          K. Cheng;
                        et al
Date Published

2021
Length
              12 pages
Annotation
              This article describes an adaption of Bright et al.’s work modeling peak height variability in CE-DNA profiles to the modeling of allelic aSTR (autosomal short tandem repeats) read counts from NGS-DNA profiles, specifically for profiles generated from the ForenSeqTM DNA Signature Prep Kit, DNA Primer Mix B.
Abstract
              Bright et al.’s model consists of three key components within the estimation of total allelic product—template, locus-specific amplification efficiencies, and degradation. The current work investigated the two mass parameters—template and locus-specific amplification efficiencies—and used MLE (maximum likelihood estimation) and MCMC (Markov chain Monte Carlo) methods to obtain point estimates to calculate the total allelic product. The expected read counts for alleles were then calculated after proportioning some of the expected stutter product from the total allelic product. Due to preferential amplicon selection introduced by the sample purification beads, degradation is difficult to model from the aSTR outputs alone. Improved modeling of the locus-specific amplification efficiencies may mask the effects of degradation. Although this model could be improved by introducing locus specific variances in addition to locus specific priors, current results demonstrate the suitability of adapting Bright et al.’s allele peak height model for NGS-DNA profiles. This model could be incorporated into continuous probabilistic interpretation approaches for mixed DNA profiles. (publisher abstract modified)
      
  
          Additional Details
Grant Number(s)
        2020-DQ-BX-0022


  
  
        
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        Population Genetic Issues for Forensic DNA Profiles
    
  
  
Date Published: January 1, 2021
    
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