Beena Akolkar8
Flemming Pociot7
8Beena Akolkar
7Flemming Pociot
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Type 1 diabetes (T1D) is a common autoimmune disorder that arises from the action of multiple genetic and environmental risk factors. We report the findings of a genome-wide association study of T1D, combined in a meta-analysis with two previously published studies. The total sample set included 7,514 cases and 9,045 reference samples. Forty-one distinct(More)
1 T he discovery of the association between HLA in the major histocompatibility complex (MHC) on chromosome 6p21 with type 1 diabetes, but not with type 2 diabetes, suggested that these disease entities were of different genetic background and pathogenesis. The discovery that some individuals with diabetes had autoantibodies in their blood provided(More)
  • Patrick Concannon, Suna Onengut-Gumuscu, John A. Todd, Deborah J. Smyth, Flemming Pociot, Regine Bergholdt +9 others
  • 2008
OBJECTIVE The Type 1 Diabetes Genetics Consortium (T1DGC) has assembled and genotyped a large collection of multiplex families for the purpose of mapping genomic regions linked to type 1 diabetes. In the current study, we tested for evidence of loci associated with type 1 diabetes utilizing genome-wide linkage scan data and family-based association methods.(More)
An underlying complex genetic susceptibility exists in multiple sclerosis (MS), and an association with the HLA-DRB1*1501-DQB1*0602 haplotype has been repeatedly demonstrated in high-risk (northern European) populations. It is unknown whether the effect is explained by the HLA-DRB1 or the HLA-DQB1 gene within the susceptibility haplotype, which are in(More)
  • Lars C Stene, Sami Oikarinen, Heikki Hyöty, Katherine J Barriga, Jill M Norris, Georgeanna Klingensmith +4 others
  • 2010
OBJECTIVE To investigate whether enterovirus infections predict progression to type 1 diabetes in genetically predisposed children repeatedly positive for islet autoantibodies. RESEARCH DESIGN AND METHODS Since 1993, the Diabetes and Autoimmunity Study in the Young (DAISY) has followed 2,365 genetically predisposed children for islet autoimmunity and type(More)
OBJECTIVE Type 1 diabetes arises from the actions of multiple genetic and environmental risk factors. Considerable success at identifying common genetic variants that contribute to type 1 diabetes risk has come from genetic association (primarily case-control) studies. However, such studies have limited power to detect genes containing multiple rare(More)
  • Janelle A. Noble, Ana Maria Valdes, Michael D. Varney, Joyce A. Carlson, Priscilla Moonsamy, Anna Lisa Fear +7 others
  • 2010
OBJECTIVE We report here genotyping data and type 1 diabetes association analyses for HLA class I loci (A, B, and C) on 1,753 multiplex pedigrees from the Type 1 Diabetes Genetics Consortium (T1DGC), a large international collaborative study. RESEARCH DESIGN AND METHODS Complete eight-locus HLA genotyping data were generated. Expected patient class I(More)
BACKGROUND Although human leukocyte antigen (HLA) DQ and DR loci appear to confer the strongest genetic risk for type 1 diabetes, more detailed information is required for other loci within the HLA region to understand causality and stratify additional risk factors. The Type 1 Diabetes Genetics Consortium (T1DGC) study design included high-resolution(More)
  • Ann W Morgan, James I Robinson, Philip G Conaghan, Stephen G Martin, Elizabeth MA Hensor, Michael D Morgan +6 others
  • 2010
INTRODUCTION This study investigated five confirmed rheumatoid arthritis (RA) susceptibility genes/loci (HLA-DRB1, PTPN22, STAT4, OLIG3/TNFAIP3 and TRAF1/C5) for association with susceptibility and severity in an inception cohort. METHODS The magnitude of association for each genotype was assessed in 1,046 RA subjects from the Yorkshire Early RA cohort(More)
OBJECTIVE Interactions between genetic and environmental factors lead to immune dysregulation causing type 1 diabetes and other autoimmune disorders. Recently, many common genetic variants have been associated with type 1 diabetes risk, but each has modest individual effects. Familial clustering of type 1 diabetes has not been explained fully and could(More)