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                            Library & Multimedia
 Probabilistic Genotyping Software: An Overview
NCJ Number
              254203
Journal

*Forensic Science International-Genetics* Volume: 38 Dated: January 2019 Pages: 219-224
Author(s)
          Michael. D. Coble;
                        Jo-Anne A. Bright
Date Published

January 2019
Length
              6 pages
Annotation
              This review provides a historical perspective on the movement from binary methods of interpretation to probabilistic methods of interpretation, describing the two approaches to probabilistic genotyping (semi-continuous and fully continuous) and addressing issues such as validation and court acceptance; and future needs for probabilistic software are discussed.
Abstract
              The interpretation of mixed profiles from DNA evidentiary material is one of the more challenging duties of the forensic scientist. Traditionally, analysts have used a "binary" approach to interpretation where inferred genotypes are either included or excluded from the mixture using a stochastic threshold and other biological parameters such as heterozygote balance, mixture ratio, and stutter ratios. As the sensitivity of STR multiplexes and capillary electrophoresis instrumentation improved over the past 25 years, coupled with the change in the type of evidence being submitted for analysis (from high quality and quantity [often single-source] stains to low quality and quantity [often mixed] "touch" samples), the complexity of DNA profile interpretation has equally increased. (publisher abstract modified)
      
  
          Additional Details
Grant Number(s)
        2017-DN-BX-0136


  
  
        
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        NIJ-Sponsored


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


  
  
        
  Award
        Population Genetic Issues for Forensic DNA Profiles
    
  
  
Date Published: January 1, 2019
    
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