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Updated: Oct 22, 2025

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
Published on: April 4, 2018
Reliability of phenotype estimation and extended classification of ancestry using decedent samples
Naomi A Weisz1, Katherine A Roberts2,3, W Reef Hardy4
1School of Criminal Justice and Criminalistics, California State University, Los Angeles, 1800 Paseo Rancho Castilla, Los Angeles, CA, 90032, USA.
Forensic DNA analysis using Illumina® MiSeq FGx™ can estimate biogeographical ancestry and phenotypes like eye and hair color. While eye color and black hair prediction showed high accuracy, other hair colors and intermediate eye colors were too variable for reliable estimation in missing persons cases.
Area of Science:
- Forensic genetics
- Human identification
- Population genetics
Background:
- The Illumina® MiSeq FGx™ platform, with the ForenSeq™ DNA Signature Prep kit, generates short tandem repeat (STR) genotypes for CODIS (Combined DNA Index System) and estimates phenotype and biogeographical ancestry.
- While validated for forensic applications, the practical utility of these estimations for identifying missing persons from decedent samples is not well-established.
Purpose of the Study:
- To evaluate the accuracy and utility of phenotypic (hair and eye color) and biogeographical ancestry estimations for missing persons identification using decedent casework samples.
- To assess the performance of the ForenSeq™ Universal Analysis Software (UAS) and the HIrisPlex System for predicting phenotypes and the FROG-kb database for predicting ancestry.
Main Methods:
- Analysis of 300 decedent samples from the Los Angeles County Department of Medical Examiner-Coroner.
- Translation of piSNP genotypes to hair and eye colors using ForenSeq™ UAS and HIrisPlex System.
- Statistical evaluation of prediction accuracy against reported decedent characteristics.
- Comparison of predicted biogeographical ancestry with FROG-kb database and MiSeq FGx™ UAS PCA (Principal Component Analysis) plots.
Main Results:
- High prediction accuracy for brown (95.3% UAS) and blue (96.2% UAS, 96.2% HIrisPlex) eyes was observed.
- Prediction accuracy for intermediate eye colors and most hair colors (except black, >90%) was not high due to variability.
- The FROG-kb database provided more granular ancestry information than MiSeq FGx™ UAS PCA plots, correctly identifying Middle Eastern (70.0%), Pacific Islander (81.8%), Latin American (73.8%), and Jewish (86.7%) ancestries.
Conclusions:
- Phenotypic estimations, particularly for eye color and black hair, show potential utility in missing persons investigations, but limitations exist for intermediate eye colors and other hair colors.
- Biogeographical ancestry estimation using the FROG-kb database offers valuable insights beyond broad continental classifications, aiding in the identification of diverse populations.
- The combined use of STR genotyping, phenotypic, and biogeographical ancestry estimations on platforms like Illumina® MiSeq FGx™ can enhance missing persons identification efforts, despite current limitations in predicting certain traits.
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