Biogeographical Ancestry Analyses Using the ForenSeqTM DNA Signature Prep Kit and Multiple Prediction Tools

Genes (Basel). 2024 Apr 18;15(4):510. doi: 10.3390/genes15040510.

Abstract

The inference of biogeographical ancestry (BGA) can assist in police investigations of serious crime cases and help to identify missing people and victims of mass disasters. In this study, we evaluated the typing performance of 56 ancestry-informative SNPs in 177 samples using the ForenSeq™ DNA Signature Prep Kit on the MiSeq FGx system. Furthermore, we compared the prediction accuracy of the tools Universal Analysis Software v1.2 (UAS), the FROG-kb, and GenoGeographer when inferring the ancestry of 503 Europeans, 22 non-Europeans, and 5 individuals with co-ancestry. The kit was highly sensitive with complete aiSNP profiles in samples with as low as 250pg input DNA. However, in line with others, we observed low read depth and occasional drop-out in some SNPs. Therefore, we suggest not using less than the recommended 1ng of input DNA. FROG-kb and GenoGeographer accurately predicted both Europeans (99.6% and 91.8% correct, respectively) and non-Europeans (95.4% and 90.9% correct, respectively). The UAS was highly accurate when predicting Europeans (96.0% correct) but performed poorer when predicting non-Europeans (40.9% correct). None of the tools were able to correctly predict individuals with co-ancestry. Our study demonstrates that the use of multiple prediction tools will increase the prediction accuracy of BGA inference in forensic casework.

Keywords: biogeographical ancestry; forensic genetics; genetic prediction; genotyping performance; human populations; massively parallel sequencing.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • DNA / genetics
  • DNA Fingerprinting* / methods
  • Europe
  • Forensic Genetics / methods
  • Genetics, Population / methods
  • High-Throughput Nucleotide Sequencing / methods
  • Humans
  • Polymorphism, Single Nucleotide* / genetics
  • Sequence Analysis, DNA / methods
  • Software
  • White People / genetics

Substances

  • DNA

Grants and funding

This research received no external funding.