Over the last 4 years(2007-2011) we have collected detailed longitudinal information on mental health, physical health, environmental measures, demographic information and biological measures associated with mood problems from the child and adolescent offspring of adults with depression (i.e. a high risk sample). Part of the remit of the study was to develop a basic quick screening and risk prediction tool for adolescent depression to ensure that the research findings could be applied to clinical practice. A set of predictors for screening for current and predicting risk for future major depressive disorder amongst adolescents has been identified using data from this study. Developing an effective risk prediction tool: A pilot computerised version of this tool for GP software has been developed based on early results and is being piloted in a single practice. However it is clear from the scientific literature that, given the complexity of illness, there is a need to ensure that risk prediction tools are accurate so need considerable refinement by piloting. It is also clear that these tools have to acceptable to users and service providers and the users and user-friendly and pragmatic for use in real life situations. Once the predictors have been validated in the external dataset it is planned to apply for funding for a 2 stage project in which the first stage would be qualitative, health professionals, school counsellors and other agencies dealing with the mental health of young people and would include developing and further piloting the software) and the second stage would be a formal pragmatic trial of evaluating this web-based screening and risk prediction tool for adolescent