Evaluation of methodology for transcriptomic imputation into genome-wide association studies of complex human traits to infer causal mechanisms (Newcastle)
This project will focus on evaluating the performance of transcriptomic imputation methods for detecting association of gene expression with complex human traits, in order to infer causal biological mechanisms. Computer simulations will be used to compare the power of imputed transcriptomics with directly measured gene expression. The methodology will be applied to real data from large-scale, deeply phenotyped cohorts such as UK Biobank (500,000 individuals). The project would appeal to a statistically-qualified applicant with an interest in analysing biological data, or to a biologically-qualified applicant with an interest in (and strong aptitude for) performing computational and statistical analysis.
For further information see the website: http://www.ncl.ac.uk/igm/
Please submit a full CV and covering letter directly to [email protected]
This is a 4 year BBSRC studentship under the Newcastle-Liverpool-Durham DTP. The successful applicant will receive research costs, tuition fees and stipend (£14,057 for 2015-16). The PhD will start in September 2016. Applicants should have, or be expecting to receive, a 2.1 Hons degree (or equivalent) in a relevant subject. EU candidates must have been resident in the UK for 3 years in order to receive full support. There are 2 stages to the application process.
Cordell HJ, Han Y, Mells GF, Li Y, Hirschfield GM, Greene CS, Xie G, Juran BD, Zhu D, Qian DC, Floyd JA, Morley KI et al. (2015) International genome-wide meta-analysis identifies new primary biliary cirrhosis risk loci and targetable pathogenic pathways. Nature Communications doi: 10.1038/ncomms9019. PMID: 26394269.