Applications are invited from self-funded students. This project has a Band 1 fee. Details of our different fee bands can be found on our website (View Website). For information on how to apply for this project, please visit the Faculty of Biology, Medicine and Health Doctoral Academy website (View Website). On the online application form, select PhD
As an equal opportunities institution we welcome applicants from all sections of the community regardless of gender, ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.
 Guo H, Fortune MD et al. (2015) Integration of disease association and eQTL data using a Bayesian colocalisation approach highlights six candidate causal genes in immune-mediated diseases. Human Molecular Genetics. 24(12):3305-13.
 Fortune MD, Guo H et al. (2015) Statistical colocalization of genetic risk variants for related autoimmune diseases in the context of common controls. Nature Genetics. 47:839-46.
 Giambartolomei C, Vukcevic D et al. (2014) Bayesian test for colocalisation between pairs of genetic association studies using summary statistics. PLoS Genetics. 10:e1004383.
 Hormozdiari F, Van de Bunt M et al. (2016) Colocalization of GWAS and eQTL signals detects target genes. The American Journal of Human Genetics. 99:1245-60.