Development of a pan UK vasculitis cohort to analyse variations in disease susceptibility and outcomes (UKIVAS)

Research summary

Primary systemic vasculitidies (PSV), encompassing Anti-Neutrophil Cytoplasmic Antibody (ANCA) associated vasculitis and medium vessel vasculitis, are relatively uncommon diseases, but have a propensity for renal involvement and account for a significant number of patients with both acute and chronic kidney disease. The aetiology of PSV is unknown and current therapies are non-specific and associated with major side effects. Outcome data for such patients have comprised small cohort studies from single centres. Understanding the factors that influence disease outcome and the impact different therapies have outside of clinical trials can only be achieved using a larger number of patients, accrued from multiple different units. We propose to establish the first pan-UK PSV dataset, which will collect regular returns regarding patient recruitment and outcome from all participating centres. This will facilitate investigation of disease associations, outcomes and demographic trends for the UK PSV population. We will test the hypothesis that disease incidence is increasing in Indo-Asians and why the outcome may be different among different ethnic groups, as well as investigating contemporary outcomes with modern immunosuppressive protocols. In addition, we will combine clinical phenotype with genetic studies. Specifically we will investigate genetic variation between ethnic groups by looking at variations in DNA sequences that can help to explain differences in disease susceptibility. These are investigated using many DNA specific markers, called single-nucleotide polymorphisms (SNPs) whose expression will be compared between patients from different ethnic groups. Finally, we will be able to record the outcome of all patients treated with novel therapeutics, thus eliminating the significant reporting bias that exists. This will allow individual investigators to carry out particular projects mining the dataset.

Principal Investigator

Prof Raashid Luqmani

Contact us

Email: gail.lang@ndorms.ox.ac.uk

IRAS number

59424