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
• Grant Number(s): 2017-DN-BX-0136
• Agencies: NIJ-Sponsored
• Sponsoring Agency: National Institute of Justice (NIJ)
• Publication Format: Article
• Publication Type: Research (Applied/Empirical); Report (Study/Research); Report (Grant Sponsored); Program/Project Description
• Language: English
• Country: United States of America

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)