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

NCJ Number
255966
Date Published
November 2020
Length
1 page
Author(s)
Sanne E. Aalbers; Michael J. Hipp; Scott R. Kennedy; Bruce S. Weir
Agencies
NIJ-Sponsored
Publication Type
Research (Applied/Empirical), Report (Study/Research), Report (Grant Sponsored), Program/Project Description
Grant Number(s)
2011-DN-BX-K541, 2017-DN-BX-0160
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)
Date Created: July 20, 2021