Design for Debate: Exploring Public Perceptions of an Emerging Genetics Health Prediction Service ‘Polygenic Risk Score’ Through Design Methods

Polygenic Risk Score (PRS), a cutting-edge genomic predictive tool, signifies a transformative move towards personalised healthcare by leveraging genotype data to predict disease risks. However, the adoption of PRS is impeded by significant challenges, such as existing health disparities and concerns around the accuracy and privacy risks of the use of personal genomic data. My thesis explores the critical role of understanding public perceptions of PRS to effectively integrate it, utilising design methods to demystify the technology and foster relatability – and thereby explore scenarios around the future everyday use of PRS and get input from the public into the design of new personalised health services. Employing a methodology of online surveys, semi-structured interviews, and workshops, I aim to open up a space for discussion, which connects PRS services with public usage through design methods – innovative engagement and provocative conversation.