Evaluating the Usefulness of Human DNA Quantification to Predict DNA Profiling Success of Historical Bone Samples

Genes (Basel). 2023 Apr 27;14(5):994. doi: 10.3390/genes14050994.

Abstract

This study assessed the usefulness of DNA quantification to predict the success of historical samples when analyzing SNPs, mtDNA, and STR targets. Thirty burials from six historical contexts were utilized, ranging in age from 80 to 800 years postmortem. Samples underwent library preparation and hybridization capture with two bait panels (FORCE and mitogenome), and STR typing (autosomal STR and Y-STR). All 30 samples generated small (~80 bp) autosomal DNA target qPCR results, despite mean mappable fragments ranging from 55-125 bp. The qPCR results were positively correlated with DNA profiling success. Samples with human DNA inputs as low as 100 pg resulted in ≥80% FORCE SNPs at 10X coverage. All 30 samples resulted in mitogenome coverage ≥100X despite low human DNA input (as low as 1 pg). With PowerPlex Fusion, ≥30 pg human DNA input resulted in >40% of auSTR loci. At least 59% of Y-STR loci were recovered with Y-target qPCR-based inputs of ≥24 pg. The results also indicate that human DNA quantity is a better predictor of success than the ratio of human to exogenous DNA. Accurate quantification with qPCR is feasible for historical bone samples, allowing for the screening of extracts to predict the success of DNA profiling.

Keywords: SNP; STR typing; ancient DNA; forensic DNA; massively parallel sequencing; mtDNA; next generation sequencing; qPCR.

MeSH terms

  • Bone and Bones
  • DNA Fingerprinting* / methods
  • DNA, Mitochondrial / genetics
  • Humans
  • Microsatellite Repeats* / genetics
  • Polymorphism, Single Nucleotide / genetics

Substances

  • DNA, Mitochondrial

Grants and funding

This research received no external funding.