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                            Library & Multimedia
 Predicting the Origin of Stains From Next Generation Sequencing mRNA Data
NCJ Number
              255689
Journal

*Forensic Science International: Genetics* Volume: 34 Dated: May 2018 Pages: 37-48
Author(s)
          Guro Dorum;
                        Sabrina Ingold;
                        Erin Hanson;
                        Jack Ballantyne;
                        Lars Snipen;
                        Cordula Haas
Date Published

May 2018
Length
              12 pages
Annotation
              This article presents a novel probabilistic method that predicts the originating body fluids from mRNA data with high accuracy.
Abstract
              The authors used their previously published next generation sequencing (NGS) mRNA approach for body fluid identification to analyze 183 body fluids/tissues, including mock casework samples. The resulting data set was used to build a probabilistic model that predicts the origin of a stain. This approach uses partial least squares followed by linear discriminant analysis to classify samples into six commonly occurring forensic body fluids. The model differs from the ones previously suggested in that it incorporates quantitative information (NGS read counts) rather than just presence/absence of markers. The suggested approach also enables visualization of important markers and their correlation with the different body fluids. This model was compared to previously published methods to show that the inclusion of read count information improves the prediction. Finally, the model was applied to mixed body fluid samples to test its ability to identify the individual components in a mixture. (publisher abstract modified)
      
  
          Additional Details
Grant Number(s)
        2014-DN-BX-K019


  
  
        
  Agencies
        NIJ-Sponsored


  
  
        
  Publication Type
        Research (Applied/Empirical)
                                Report (Study/Research)
                                Report (Grant Sponsored)
                                Program/Project Description


  
  
        
  Award
        How it got there: associating individual DNA profiles with specific body fluids in mixtures using targeted digital gene expression and RNA-SNP identification
    
  
  
Date Published: May 1, 2018
    
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