Data Governance for Justice and Human Rights: Forensics, Flow, and Frontiers

Beyond Codis: Clearing Cases Using Genetic Data from Rootless Hair

Author(s): Taryn Mulvihill and Tracey Leigh Dowdeswell *

Pp: 181-203 (23)

DOI: 10.2174/9798898812256126040012

* (Excluding Mailing and Handling)

Abstract

This chapter reviews developments in forensic DNA that enable case clearance using genetic data from rootless hair. Advances in Massively Parallel Sequencing (MPS) have enabled the production of DNA profiles of Single-Nucleotide Polymorphisms (SNPs). The resulting SNP profiles can then be used to identify persons of interest – usually unidentified decedents or suspects in criminal cases – using Forensic Investigative Genetic Genealogy (FIGG). FIGG uses genetic genealogy databases of SNP profiles to generate relatedness estimates to identify persons of interest. Once candidates are identified through FIGG, the identification is normally confirmed through the direct comparison of Short Tandem Repeat (STR) forensic DNA profiles – either through direct comparison for crime scene samples, or through kinship testing for human remains. However, SNP profiles can be generated in cases in which the DNA evidence exists in too low quantities or is too degraded to generate a traditional (STR) forensic DNA profile. This allows for cases to be cleared, even where an STR DNA profile is not available to be uploaded and searched against CODIS databases. Novel statistical methods are available for direct comparison between SNP profiles, which enables the probative value of the evidence to be assessed by triers of fact in criminal cases. In this chapter, we focus on the clearance of cases using rootless hair, as these samples are commonly found in criminal and human remains investigations but have resisted conventional DNA analyses. Forensic DNA analysis is therefore poised to move beyond CODIS, and this poses novel challenges for courts and legal professionals. 


Keywords: CODIS, Forensic DNA, Forensic investigative genetic genealogy, Forensic genomics.