An investigation of downstream processing methods for challenging skeletal samples.

While skeletal remains are known for their resilience and often serve as the final source of information for unidentified human remains (UHRs), the traditional downstream processing of these samples is challenging due to their low template nature, DNA degradation, and the presence of PCR inhibitors, typically resulting in limited probative information. To address this issue, advanced genotyping methods can be explored to retrieve additional genetic information from these challenging samples to maximize investigative leads. Therefore, this study investigated the effectiveness of three advanced genotyping methods and assessed their suitability with compromised skeletal samples: 1) targeted next generation sequencing (NGS) of both STRs and SNPs using the ForenSeq® DNA Signature Prep chemistry, 2) targeted NGS of SNPs using the ForenSeq® Kintelligence kit, and 3) SNP genotyping using a microarray via the Infinium Global Screening Array.

Twenty-eight days later: The recovery of DNA from human remains submerged in aggressive household chemicals.

Aggressive chemicals intended for cleaning pools or unclogging drains contain high concentrations of dangerous compounds, leading to their nefarious use in dissolving human remains in some criminal cases. The use of these readily accessible household cleaners to destroy human remains and hide evidence of a crime presents a considerable challenge for human identification. However, research on the success of recovering DNA from such remains is limited.

Optimization of InnoXtract™ extraction and purification system for DNA extraction from skeletal samples.

The InnoXtract™ extraction and purification system is a purification method designed for DNA extraction from low-template samples, specifically rootless hair shafts. Its ability to successfully capture highly fragmented DNA suggests its suitability for use with other challenging sample types, including skeletal remains. However, the lysis and digestion parameters required modifications to successfully optimize the method for this sample type.