Cutting-edge scalable computational tools for the genetic analysis of longitudinal phenotypes to understand disease aetiology
This is one of several projects available on an MRC funded 4-year multi-disciplinary PhD programme in Human Genetics, Genomics and Disease at the MRC Human Genetics Unit (HGU), part of the Institute of Genetics and Molecular Medicine (IGMM) at the University of Edinburgh.
Abstract: Most human characteristics change over time. By recording them repeatedly we can obtain trajectories of these changes. Currently, most studies of the genetic factors underlying human disease only consider these characteristics at a single time point and ignore how genetics affect the pattern of change, which would likely be a better prognostic measure of disease.
However, there are no analytical and computational tools that can perform such complex statistical analyses in very large studies to make meaningful epidemiological inferences. The project will aim to develop and apply these tools for the analyses of large-scale cohorts such as UK Biobank.
For further information on how to apply for this project, please visit: https://www.ed.ac.uk/mrc-human-genetics-unit/graduate-research-and-training/mrc-four-year-phd-programme-quantitative-scientist
For full funding (fees and stipend) students must be UK or EU citizens who have been resident in the UK for 3 years prior to commencement.
However, EU students with quantitative or multidisciplinary skills are eligible for full funding.