An integrative genomics approach for non-invasive diagnostic biomarkers discovery in IgA nephropathy

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IgAN is the commonest form of glomerulonephritis worldwide. Currently the diagnosis can only be made by kidney biopsy, and a single biopsy provides limited information about the future risk of kidney failure. In addition, since this disease can run in families, there is a need for a test to predict whether relatives of patients might develop the disease. We aim to use genetic analysis, together with clinical measurements and disease markers, such as deglycosylated IgA to develop a way of predicting which patients are at risk of progression and which relatives are at risk of developing the disease.