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Published in: International Journal of Legal Medicine 6/2021

01-11-2021 | Original Article

Reliability of phenotype estimation and extended classification of ancestry using decedent samples

Authors: Naomi A. Weisz, Katherine A. Roberts, W. Reef Hardy

Published in: International Journal of Legal Medicine | Issue 6/2021

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Abstract

The Illumina® MiSeq FGx™, in conjunction with the ForenSeq™ DNA Signature Prep kit, produces genotypes of the CODIS-required short tandem repeats and provides phenotype and biogeographical ancestry estimations via phenotype-informative and ancestry-informative markers, respectively. Although both markers have been validated for use in forensic biology, there is little data to determine the practical utility of these estimations to assist in identifying missing persons using decedent casework samples. The accuracy and utility of phenotypic and ancestral estimations were investigated for 300 samples received by the Los Angeles County Department of Medical Examiner-Coroner. piSNP genotypes were translated into hair and eye colors using the Forenseq™ Universal Analysis Software (UAS) on the MiSeq FGx™ and the HIrisPlex System, and statistical accuracy was evaluated in context with the reported decedent characteristics. Similarly, estimates of each decedent’s biogeographical ancestry were compared to assess the efficacy of these markers to predict ancestry correctly. The average UAS and the HIrisPlex system prediction accuracy for brown and blue eyes were 95.3% and 96.2%, respectively. Intermediate eye color could not be predicted with high accuracy using either system. Other than the black hair phenotype reporting an accuracy that exceeded 90% using either system, hair color was also too variable to be predicted with high accuracy. The FROG-kb database distinguishes decedents adequately beyond the Asian, African, European, and Admixed American global ancestries provided by the MiSeq FGx™ UAS PCA plots. FROG-kb correctly identified Middle Eastern, Pacific Islander, Latin American, or Jewish ancestries with accuracies of 70.0%, 81.8%, 73.8%, and 86.7%, respectively.
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Metadata
Title
Reliability of phenotype estimation and extended classification of ancestry using decedent samples
Authors
Naomi A. Weisz
Katherine A. Roberts
W. Reef Hardy
Publication date
01-11-2021
Publisher
Springer Berlin Heidelberg
Published in
International Journal of Legal Medicine / Issue 6/2021
Print ISSN: 0937-9827
Electronic ISSN: 1437-1596
DOI
https://doi.org/10.1007/s00414-021-02631-x

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