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Polygenic scores and riskResearchPolygenic scores combine information from multiple genetic variants into a single score that can be used to examine risk. Recent advances in this field have reignited interest in using genetic information in personalised prevention approaches for common conditions such as cancer and heart disease.
Regulation of data, AI and medical devices ResearchWe work closely with a host of stakeholders – policy and decision makers, health professionals, regulators and researchers. Sometimes this includes direct engagement with politicians to inform them about relevant developments and convene or join discussions about our policy priorities.
Identification and genomic dataReportGenomic data does not sit comfortably within the current legal and regulatory framework as a consequence of its nature and an overall lack of regulatory coherence. We explain the complex debate and regulatory issues
Developing effective ctDNA testing services for lung cancerReportOur report outlines the most pressing issues affecting the implementation and provision of ctDNA testing services for lung cancer and describes the early experiences of some of the laboratories
Linking and sharing routine health data for researchReportThe recommendations are drawn from a series of interviews with experienced data users on the complex issues of using de-identified data, the barriers and the ways to improve data sharing for research.
Polygenic scores, risk and cardiovascular diseaseReportPublished in 2019, this reports examines the evidence and readiness for clinical implementation of polygenic scores from the perspective of cardiovascular disease prevention.
Synthetic health data, real regulatory challengeBlogSynthetic health data is a new form of data generation which demands new regulatory approaches to deliver the benefits to patient care we all would like to see, argues Dr Colin Mitchell