Search

For over a decade, Scotland has implemented and operationalized a system of Safe Havens, which provides secure analytics platforms for researchers to access linked, deidentified electronic health records (EHRs) while managing the risk of unauthorized reidentification. In this paper, a perspective is provided on the state-of-the-art Scottish Safe Haven network, including its evolution, to define the key activities required to scale the Scottish Safe Haven network’s capability to facilitate research and health care improvement initiatives. A set of processes related to EHR data and their delivery in Scotland have been discussed. An interview with each Safe Haven was conducted to understand their services in detail, as well as their commonalities. The results show how Safe Havens in Scotland have protected privacy while facilitating the reuse of the EHR data. This study provides a common definition of a Safe Haven and promotes a consistent understanding among the Scottish Safe Haven network and the clinical and academic research community. We conclude by identifying areas where efficiencies across the network can be made to meet the needs of population-level studies at scale. [ABSTRACT FROM AUTHOR]

The red flour beetle, Tribolium castaneum (Herbst) (Coleoptera: Tenebrionidae), is a major pest of stored grain and cereal crops. It is also an important model species in genetic, ecological, and evolutionary research. The majority of its genome was recently sequenced and published. However, the genomic sequence of the small Y-chromosome is still undetermined, which hinders the development of molecular sex identification methods. Traditional methods for sexing adult forms of Tribolium beetles are troublesome. Therefore, a method for molecular sex identification in the red flour beetle was developed. One sex-linked randomly amplified polymorphic DNA marker was converted into a sequence-characterized amplified region (SCAR). The SCAR was aligned with the T. castaneum reference whole-genome sequence and fully matched a fragment of a single contig of unknown genomic location. The novelty of the method is that the fragment consists of shorter DNA fragments that are also present at other locations around the genome, but the particular order of these fragments within the sequenced region appeared to be Y-specific and this property was utilized for marker development. A set of three primers for multiplex PCR reaction was designed resulting in amplification of different length Y-specific and not-Y-specific (control) DNA fragments in a single PCR, which allows to distinguish males from females. The primers successfully sexed pre-sexed pupae and adult beetles from six laboratory strains, showing that the order of the repeated fragments is conserved in the species and is not strain-specific. [ABSTRACT FROM AUTHOR]

For over a decade, Scotland has implemented and operationalized a system of Safe Havens, which provides secure analytics platforms for researchers to access linked, deidentified electronic health records (EHRs) while managing the risk of unauthorized reidentification. In this paper, a perspective is provided on the state-of-the-art Scottish Safe Haven network, including its evolution, to define the key activities required to scale the Scottish Safe Haven network's capability to facilitate research and health care improvement initiatives. A set of processes related to EHR data and their delivery in Scotland have been discussed. An interview with each Safe Haven was conducted to understand their services in detail, as well as their commonalities. The results show how Safe Havens in Scotland have protected privacy while facilitating the reuse of the EHR data. This study provides a common definition of a Safe Haven and promotes a consistent understanding among the Scottish Safe Haven network and the clinical and academic research community. We conclude by identifying areas where efficiencies across the network can be made to meet the needs of population-level studies at scale., (©Chuang Gao, Mark McGilchrist, Shahzad Mumtaz, Christopher Hall, Lesley Ann Anderson, John Zurowski, Sharon Gordon, Joanne Lumsden, Vicky Munro, Artur Wozniak, Michael Sibley, Christopher Banks, Chris Duncan, Pamela Linksted, Alastair Hume, Catherine L Stables, Charlie Mayor, Jacqueline Caldwell, Katie Wilde, Christian Cole, Emily Jefferson. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 09.03.2022.)