How mutations associated with asthma impact on the genes that are switched on and co-morbidity with other disorders (e.g. type 1 diabetes) is gradually being understood. We think that we should be able to collate the results of published studies to accelerate this process. The problem is that >7000 papers were published on asthma in 2017. We propose to develop a program that integrates medical literature with an individual’s mutation pattern to transform individualized prognostic and therapeutic advice for asthma. We will test the approach on the Growing up in New Zealand cohort and determine the health and economic benefits of the approach. This proposal incorporates computer science, genetics, and economics to test the clinical and research utility of an integrative approach to interpret individual disease risk. It will lead to step-changes in understanding the development and treatment of chronic and acute conditions of relevance to all New Zealanders.