About the Project
Aim: The aim of this project is to identify biomarkers (genetic and proteomic) of response to TNFi medication in PsA.
Methods: Patient data and blood samples will be available from the Outcomes of Treatment in PsA Study Syndicate (OUTPASS). OUTPASS is a multi-centre national UK prospective observational study established in 2013. The successful candidate will conduct a literature review to establish previously identified proteomic predictors of response to TNFi. Genotyping of genetic variants associated with response and measurement of protein levels using high-throughput mass spectrometry techniques will be performed.
This studentship will apply state-of-the-art statistical techniques, including machine learning, to produce a model of pQTL that are associated with disease activity at baseline and following TNFi treatment.
Training will be provided in:
• Proteogenomic analysis
• Genome wide association studies
• Machine learning and statistical modelling
• Conducting a literature review
Specifically, in-house training courses in statistical analysis are held annually. The successful applicant will join other students and research staff investigating genetic and proteomic aspects of treatment response.
Candidates are expected to hold (or be about to obtain) a minimum upper second class honours degree (or equivalent) in a related area / subject. Candidates with experience in immunology or with an interest in biostatistics are encouraged to apply.
For international students we also offer a unique 4 year PhD programme that gives you the opportunity to undertake an accredited Teaching Certificate whilst carrying out an independent research project across a range of biological, medical and health sciences. For more information please visit http://www.internationalphd.manchester.ac.uk
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.
2. Jani M, Barton A, Ho P. Pharmacogenetics of treatment response in psoriatic arthritis. Curr Rheumatol Rep. 2015;17(7):44.
3. Mahendran SM, Chandran V. Exploring the Psoriatic Arthritis Proteome in Search of Novel Biomarkers. Proteomes. 2018;6(1).
Based on your current searches we recommend the following search filters.
Based on your current search criteria we thought you might be interested in these.