Managing large volume data sets in the process of identifying missing persons: Contributions from the International Commission on Missing Persons.

The process of locating and identifying missing persons presents a complex challenge that hinges on the collection and comparison of diverse data sets. This commentary offers an overview of some of the difficulties and considerations associated with data management in the context of large-scale missing person identifications. Such complexities include the uniqueness of each disaster event, the response time to the event, the variable quality and quantity of data, and the involvement of numerous stakeholders, all of which contribute to the intricacies of data management. In addition, the paramount considerations of privacy and ethical standards further compound these challenges, especially when dealing with sensitive information such as genetic data. This commentary describes the integrated Data Management System (iDMS) developed by the International Commission on Missing Persons (ICMP) as one example of a comprehensive, freely available solution for data collection, storage, protection, and analysis in missing person cases. The various advantages of the system are discussed, including the system's interoperability among the diverse array of stakeholders involved. While the iDMS streamlines data management processes and therefore represents a significant advancement in the field of missing person identification, it is concluded that the pending issue extends beyond the software tools to encompass the lack of political will among stakeholders to collaborate there remains a pressing need for all stakeholders involved in the identification process to commit to a mechanism that facilitates compatibility and interoperability if different tools are used in disaster victim identification (DVI) scenarios.

DNA extraction from aged skeletal samples for STR typing by capillary electrophoresis.

STR analysis of DNA extracted from skeletal samples can play an important role in the identification of missing persons. Here we present a method for the extraction of DNA from skeletal samples involving complete demineralization and digestion of the sample, followed by purification by silica binding. This method, together with the multiplex STR typing approach also presented, has proven highly successful in the recovery of DNA profiles from degraded, aged skeletal remains from a wide range of environmental contexts. The methodological steps presented include bone decontamination and grinding, DNA extraction, repurification in the case of highly inhibited samples, quantification, STR multiplex amplification, and profile reporting guidelines. However, the conditions applied for amplification and the criteria for allele calling and profile submission must be based on the results of each laboratory's internal validation experiments involving the type of samples relevant to the project at hand. The methods presented here have permitted large-scale DNA-based identification of persons missing from mass disasters and armed conflict.