Mirjana Hahn-Zoric

1Leonid Padyukov
1Iva Gunnarsson
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BACKGROUND The identification of novel genes by high-throughput studies of complex diseases is complicated by the large number of potential genes. However, since disease-associated genes tend to interact, one solution is to arrange them in modules based on co-expression data and known gene interactions. The hypothesis of this study was that such a module(More)
BACKGROUND There is growing evidence of genetic risk for susceptibility to IgA nephropathy. Among several candidate genes related to immunological regulation in renal tissue, TGFB1 is known to be a contributor to proliferation and the development of fibrosis. METHODS We analysed several SNPs in a region of this gene using 212 DNA samples from(More)
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