This paper presents results of an study on microscopical discrimination of human head hairs sharing a mitochondrial haplogroup.
In this study, researchers present data from an interlaboratory study on the accuracy of microscopical hair comparisons among a subset of experienced hair examiners currently analyzing hair in forensic laboratories across the United States. The study found that shorter hairs had reduced levels of accuracy and hairs from populations examiners were not familiar with may have impacted their ability to resolve features. The reliability of ancestry determinations is not yet clear, but the researchers found indications that the existing categories are only somewhat related to current ethnic and genetic variation. Researchers examined how well microscopical analysis of hair can reliably be used to differentiate hair samples, many of which were macroscopically similar. Using cut hair samples, many sharing similar macroscopic and microscopic features, collected from individuals who share the same mitochondrial haplogroup as an indication of genetic relatedness, the researchers tested multiple aspects that could impact hair comparisons as well as the extent to which morphological features related to ancestry and hair length influence conclusions. Microscopical hair examinations yielded accurate assessments of inclusion/exclusion relative to the reference samples among 85% of the pairwise comparisons. The results provide support for the continued utility of microscopical comparison of hairs within forensic laboratories and to advocate for a combined analytical approach using both microscopical analysis and mtDNA data on all forensic analyses of hair. In forensic analyses, determining the level of consensus among examiners for hair comparison conclusions and ancestry identifications is important for assessing the scientific validity of microscopical hair examinations. (Published Abstract Provided)
Downloads
Similar Publications
- Forensic Discrimination of Dyed Hair Color: I. UV-Visible Microspectrophotometry
- Environmental Predictors Impact Microbial-based Postmortem Interval (PMI) Estimation Models within Human Decomposition Soils
- The Off-season of Dental Cementum Investigations. A Critical Appraisal of Season-of-death Prediction in Medico-legal Investigations