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Genetic data are increasingly being used to inform each stage of the drug development process, from inception to approval. In this introductory textbook, five experts in the field illustrate how human genetic data are transforming this paradigm. Using a curated anthology of research articles, the authors describe the core methods used to interrogate genetic data for studying drug target effects, focussing on Mendelian randomisation and colocalisation, before illustrating how such methods can be applied to inform different aspects of the drug development process across a range of disease settings. Finally, the authors consider the limitations of current approaches and offer a perspective on the future landscape of this field.
Skanda Rajasundaram, Stephen Burgess, Benjamin Woolf, Héléne T. Cronjé, Dipender Gill
Dr Skanda Rajasundaram, BMBCh. Clinician Scientist, Faculty of Medicine, Imperial College London
Dr Stephen Burgess, PhD. Statistician and MRC Investigator, MRC Biostatistics Unit, University of Cambridge.
Mr Benjamin Woolf, MSc. Genetic Epidemiologist, MRC Biostatistics Unit, University of Cambridge, and Doctoral Student, MRC Integrative Epidemiology Unit, University of Bristol.
Dr Héléne T. Cronjé, PhD. Epidemiologist, Department of Public Health, University of Copenhagen and Consultant in Health Analytics, Lane Clark & Peacock.
Dr Dipender Gill, BMBCh PhD. Clinician Scientist, Department of Epidemiology and Biostatistics, Imperial College London, and Lead for Integrative Omics, Lane Clark & Peacock.
