A comparison of five DNA extraction methods from degraded human skeletal remains
MetadataShow full item record
AuthorHaarkötter Cardoso, Christian; Gálvez Escolano, Xiomara; Vinueza Espinosa, Diana C.; Medina Lozano, María Isabel; Sáiz Guinaldo, María; Lorente Acosta, José Antonio; Álvarez Merino, Juan Carlos
Degraded DNADNA extractionHuman remainsSkeletal remainsSTR typing
C. Haarkötter, X. Gálvez, D.C. Vinueza-Espinosa et al. A comparison of five DNA extraction methods from degraded human skeletal remains. Forensic Science International 348 (2023) 111730[https://doi.org/10.1016/j.forsciint.2023.111730]
Extracting DNA from degraded human remains poses a challenge for any forensic genetics laboratory, as it requires efficient high-throughput methods. While little research has compared different techniques, silica in suspension has been identified in the literature as the best method for recovering small fragments, which are often present in these types of samples. In this study, we tested five DNA extraction protocols on 25 different degraded skeletal remains. Including the humerus, ulna, tibia, femur, and petrous bone. The five protocols were organic extraction by phenol/chloroform/isoamyl alcohol, silica in suspension, High Pure Nucleic Acid Large Volume silica columns (Roche), InnoXtract™ Bone (InnoGenomics), and PrepFiler™ BTA with AutoMate™ Express robot (ThermoFisher). We analysed five DNA quantification parameters (small human target quantity, large human target quantity, human male target quantity, degradation index, and internal PCR control threshold), and five DNA profile parameters (number of alleles with peak height higher than analytic and stochastic threshold, average relative fluorescence units (RFU), heterozygous balance, and number of reportable loci) were analysed. Our results suggest that organic extraction by phenol/chloroform/ isoamyl alcohol was the best performing method in terms of both quantification and DNA profile results. However, Roche silica columns were found to be the most efficient method.