Now showing items 1-5 of 5

    • Discovery, linkage disequilibrium and association analyses of polymorphisms of the immune complement inhibitor, decay-accelerating factor gene (DAF/CD55) in type 1 diabetes 

      Taniguchi, Hidenori; Lowe, Christopher E.; Cooper, Jason D.; Smyth, Deborah J.; Bailey, Rebecca; Nutland, Sarah; Healy, Barry C. et al. (2006-04-20)
      Abstract Background Type 1 diabetes (T1D) is a common autoimmune disease resulting from T-cell mediated destruction of pancreatic beta cells. Decay accelerating factor (DAF, CD55), a glycosylphosphatidylinositol-anchored ...
    • Epigenetic analysis of regulatory T cells using multiplex bisulfite sequencing 

      Rainbow, Daniel B.; Yang, Xin; Burren, Oliver; Pekalski, Marcin L.; Smyth, Deborah J.; Klarqvist, Marcus D. R.; Penkett, Christopher J. et al. (2015-08-18)
    • Fine mapping of type 1 diabetes susceptibility loci and evidence for colocalization of causal variants with lymphoid gene enhancers 

      Onengut-Gumuscu, Suna; Chen, Wei-Min; Burren, Oliver; Cooper, Nick J.; Quinlan, Aaron R.; Mychaleckyj, Josyf C.; Farber, Emily et al. (NPG, 2015-03-09)
      Genetic studies of type 1 diabetes (T1D) have identified 50 susceptibility regions1,2 ( revealing major pathways contributing to risk3, with some loci shared across immune disorders4-6. In order to make ...
    • Sequencing and association analysis of the type 1 diabetes - linked region on chromosome 10p12-q11. 

      Nejentsev, Sergey; Smink, Luc J.; Smyth, Deborah J.; Bailey, Rebecca; Lowe, Christopher E.; Payne, Felicity; Masters, Jennifer et al. (2007-05-17)
      Abstract Background In an effort to locate susceptibility genes for type 1 diabetes (T1D) several genome-wide linkage scans have been undertaken. A chromosomal region designated IDDM10 retained genome-wide significance in ...
    • Statistical Colocalization of Genetic Risk Variants for Related Autoimmune Diseases in the Context of Common Controls 

      Fortune, Mary D.; Guo, Hui; Burren, Oliver; Schofield, Ellen; Walker, Neil M.; Ban, Maria; Sawcer, Stephen J. et al. (NPJ, 2015)
      Determining whether potential causal variants for related diseases are shared can identify overlapping etiologies of multifactorial disorders. Colocalization methods disentangle shared and distinct causal variants. However, ...