We have sequenced the entire mtDNA genome (mtGenome) of 241 individuals who match 1 of 18 common European Caucasian HV1/HV2 types, to identify sites that permit additional forensic discrimination. We found that over the entire mtGenome even individuals with the same HV1/HV2 type rarely match. Restricting attention to sites that are neutral with respect to phenotypic expression, we have selected eight panels of single nucleotide polymorphism (SNP) sites that are useful for additional discrimination. These panels were selected to be suitable for multiplex SNP typing assays, with 7-11 sites per panel. The panels are specific for one or more of the common HV1/HV2 types (or closely related types), permitting a directed approach that conserves limiting case specimen extracts while providing a maximal chance for additional discrimination. Discrimination provided by the panels reduces the frequency of the most common type in the European Caucasian population from approximately 7% to approximately 2%, and the 18 common types we analyzed are resolved to 105 different types, 55 of which are seen only once.

ObjectivesWe examined major issues associated with sharing of individual clinical trial data and developed a consensus document on providing access to individual participant data from clinical trials, using a broad interdisciplinary approach.Design and methodsThis was a consensus-building process among the members of a multistakeholder task force, involving a wide range of experts (researchers, patient representatives, methodologists, information technology experts, and representatives from funders, infrastructures and standards development organisations). An independent facilitator supported the process using the nominal group technique. The consensus was reached in a series of three workshops held over 1 year, supported by exchange of documents and teleconferences within focused subgroups when needed. This work was set within the Horizon 2020-funded project CORBEL (Coordinated Research Infrastructures Building Enduring Life-science Services) and coordinated by the European Clinical Research Infrastructure Network. Thus, the focus was on non-commercial trials and the perspective mainly European.OutcomeWe developed principles and practical recommendations on how to share data from clinical trials.ResultsThe task force reached consensus on 10 principles and 50 recommendations, representing the fundamental requirements of any framework used for the sharing of clinical trials data. The document covers the following main areas: making data sharing a reality (eg, cultural change, academic incentives, funding), consent for data sharing, protection of trial participants (eg, de-identification), data standards, rights, types and management of access (eg, data request and access models), data management and repositories, discoverability, and metadata.ConclusionsThe adoption of the recommendations in this document would help to promote and support data sharing and reuse among researchers, adequately inform trial participants and protect their rights, and provide effective and efficient systems for preparing, storing and accessing data. The recommendations now need to be implemented and tested in practice. Further work needs to be done to integrate these proposals with those from other geographical areas and other academic domains.

Entire mitochondrial control region data were generated for 187 individuals from Vietnam. These samples have been previously typed for 16 autosomal short-tandem repeats (STRs) [1].

In order to better characterize and understand the mtDNA population genetics of Central Asia, the mtDNA control regions of over 1,500 individuals from Uzbekistan have been sequenced. Although all samples were obtained from individuals residing in Uzbekistan, individuals with direct ancestry from neighboring Central Asian countries are included. Individuals of Uzbek ancestry represent five distinct geographic regions of Uzbekistan: Fergana, Karakalpakstan, Khorezm, Qashkadarya, and Tashkent. Individuals with direct ancestry in nearby countries originate from Kazakhstan, Kyrgyzstan, Russia, Afghanistan, Turkmenistan, and Tajikistan. Our data reinforce the evidence of distinct clinal patterns that have been described among Central Asian populations with classical, mtDNA, and Y-chromosomal markers. Our data also reveal hallmarks of recent demographic events. Despite their current close geographic proximity, the populations with ancestry in neighboring countries show little sign of admixture and retain the primary mtDNA patterns of their source populations. The genetic distances and haplogroup distributions among the ethnic populations are more indicative of a broad east-west cline among their source populations than of their relatively small geographic distances from one another in Uzbekistan. Given the significant mtDNA heterogeneity detected, our results emphasize the need for heightened caution in the forensic interpretation of mtDNA data in regions as historically rich and genetically diverse as Central Asia.

To facilitate forensic mtDNA testing in Hungary, we have generated control region databases for two Hungarian populations: 211 individuals were sampled from the urban Budapest population and 208 individuals were sampled from a Romani ("gypsy") population in Baranya county. Sequences were generated using a highly redundant approach to minimize potential database errors. The Budapest population had high sequence diversity with 180 lineages, 183 polymorphic positions, and a random match probability of 1%. In contrast, the Romani population exhibited low sequence diversity, with only 56 lineages, 109 segregating sites, and a random match probability of 8.8%. The mtDNA haplogroup compositions of the two populations were also distinct, with the large proportion of haplogroup M samples (35%) in the Roma the most obvious difference between the two populations. These factors highlight the importance of considering population structure when generating reference databases for forensic testing purposes. Comparisons between our Romani population sample and other published data indicate the need for heightened caution when sampling and using mtDNA databases of small endogamous populations. The Romani populations that we compared showed significant departures from genetic uniformity.