**Public description:** Genetic tests are used to guide the treatment of many cancers, but each type of cancer requires a different test. The NHS is currently combining many genetic tests into a single test covering 500 genes. This is a major step forward and offers the opportunity to extend the testing to new drug response predictions and provide more treatment options for patients. However, not all cancers will immediately benefit from a test covering 500 genes. In ovarian cancer there are currently only 2 genes which are used to help select 1 type of drug treatment - olaparib. Using novel techniques, Tailor Bio has developed a new test that identifies patients who will not respond to doxorubicin, another drug commonly used to treat ovarian cancer. After identifying these patients, clinicians can then give other types of drugs which might have greater benefit. In this project we will combine Tailor Bio's novel test with the large 500-gene tests currently being used by the NHS. As part of this project we will * Adapt software to combine the tests * Plan a clinical trial of the combined test * Investigate the cost effectiveness of the combined test Success in this project will allow better treatment selection for approximately 4000 people in the UK annually.

To drive the development, validation, accreditation and adoption of Next generation Sequencing solutions for forensic genomics.

A new project to improve the efficiency of goat milk farming will use the latest data capture technology to encapsulate new, automated information to better inform the breeding policies for dairy goat production. Milk quality measures (e.g. fat and protein) will be collected alongside a broader range of functional fitness, feed intake, liveweight and health traits which, together with milk yield information, will form the basis of a new breeding programme. For the first time, the genetic basis for these new traits in goats will be estimated for UK-based goat milk production that will be internationally recognised. The project will be working together with other key international players for the development of standardised data recording protocols including the use of genomic predictions of genetic merit for key aspects of milk production.