Analyzing Population Structure for Forensic STR Markers in Next Generation Sequencing data

• NCJ Number: 255966
• Author(s): Sanne E. Aalbers; Michael J. Hipp; Scott R. Kennedy; Bruce S. Weir
• Date Published: November 2020
• Length: 1 page
• Grant Number(s): 2011-DN-BX-K541; 2017-DN-BX-0160
• Agencies: NIJ-Sponsored
• Publication Type: Research (Applied/Empirical); Report (Study/Research); Report (Grant Sponsored); Program/Project Description
• Award: Population Genetic Issues for Forensic DNA Profiles; Developing SPLiT-Seq: A Massively Parallel Sequencing Method to Remove PCR Artifacts for Forensic STR Genotyping

Annotation

This study assessed population structure for sequence-based data using a relatively new approach applied to STR data over 27 loci in five different geographic groups.

Abstract

Match probabilities calculated during the evaluation of DNA evidence profiles rely on appropriate values of the population structure quantity 0. NGS-based methods will enhance forensic identification and with the transformation to such methods comes the need to facilitate NGS-based population genetics analysis. If NGS data are to be used for match probabilities, there needs to be a way to accommodate population structure, which requires values for 0 for those data. Such estimates have not been available. In the current study, matching proportions between individuals or groups were used to obtain locus-specific 0 estimates as well as estimates per geographic group and a global measure. The results demonstrate similar effects of sequencing data on 0 estimates compared to what has been seen for CE-based results. (publisher abstract modified)