Literature DB >> 11334427

The HLA-DPB1--associated component of the IDDM1 and its relationship to the major loci HLA-DQB1, -DQA1, and -DRB1.

F Cucca1, F Dudbridge, M Loddo, A P Mulargia, R Lampis, E Angius, S De Virgiliis, B P Koeleman, S C Bain, A H Barnett, F Gilchrist, H Cordell, K Welsh, J A Todd.   

Abstract

The major histocompatibility complex (MHC) HLA region on chromosome 6p21 contains the major locus of type 1 diabetes (IDDM1). Common allelic variants at the class II HLA-DRB1, -DQA1, and -DQB1 loci account for the major part of IDDM1. Previous studies suggested that other MHC loci are likely to contribute to IDDM1, but determination of their relative contributions and identities is difficult because of strong linkage disequilibrium between MHC loci. One prime candidate is the polymorphic HLA-DPB1 locus, which (with the DPA1 locus) encodes the third class II antigen-presenting molecule. However, the results obtained in previous studies appear to be contradictory. Therefore, we have analyzed 408 white European families (200 from Sardinia and 208 from the U.K.) using a combination of association tests designed to directly compare the effect of DPB1 variation on the relative predisposition of DR-DQ haplotypes, taking into account linkage disequilibrium between DPB1 and the DRB1, DQA1, and DQB1 loci. In these populations, the overall contribution of DPB1 to IDDM1 is small. The main component of the DPB1 contribution to IDDM1 in these populations appears to be the protection associated with DPB1*0402 on DR4-negative haplotypes. We suggest that the HLA-DP molecule itself contributes to IDDM1.

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Year:  2001        PMID: 11334427     DOI: 10.2337/diabetes.50.5.1200

Source DB:  PubMed          Journal:  Diabetes        ISSN: 0012-1797            Impact factor:   9.461


  25 in total

1.  A unified stepwise regression procedure for evaluating the relative effects of polymorphisms within a gene using case/control or family data: application to HLA in type 1 diabetes.

Authors:  Heather J Cordell; David G Clayton
Journal:  Am J Hum Genet       Date:  2001-11-21       Impact factor: 11.025

2.  Seven regions of the genome show evidence of linkage to type 1 diabetes in a consensus analysis of 767 multiplex families.

Authors:  N J Cox; B Wapelhorst; V A Morrison; L Johnson; L Pinchuk; R S Spielman; J A Todd; P Concannon
Journal:  Am J Hum Genet       Date:  2001-08-15       Impact factor: 11.025

3.  Search for haplotype interactions that influence susceptibility to type 1 diabetes, through use of unphased genotype data.

Authors:  Jian Zhang; Faming Liang; Willem R M Dassen; Bart A J Veldman; Pieter A Doevendans; Mathisca De Gunst
Journal:  Am J Hum Genet       Date:  2003-11-21       Impact factor: 11.025

Review 4.  Genetics of type 1 diabetes.

Authors:  Janelle A Noble; Henry A Erlich
Journal:  Cold Spring Harb Perspect Med       Date:  2012-01       Impact factor: 6.915

5.  Conditional meta-analysis stratifying on detailed HLA genotypes identifies a novel type 1 diabetes locus around TCF19 in the MHC.

Authors:  Yee Him Cheung; John Watkinson; Dimitris Anastassiou
Journal:  Hum Genet       Date:  2010-11-14       Impact factor: 4.132

6.  Recursive organizer (ROR): an analytic framework for sequence-based association analysis.

Authors:  Lue Ping Zhao; Xin Huang
Journal:  Hum Genet       Date:  2013-03-14       Impact factor: 4.132

7.  Association analysis of SNPs in the IL4R locus with type I diabetes.

Authors:  H A Erlich; K Lohman; S J Mack; A M Valdes; C Julier; D Mirel; J A Noble; G E Morahan; S S Rich
Journal:  Genes Immun       Date:  2009-12       Impact factor: 2.676

8.  Evidence for association of the TCF7 locus with type I diabetes.

Authors:  H A Erlich; A M Valdes; C Julier; D Mirel; J A Noble
Journal:  Genes Immun       Date:  2009-12       Impact factor: 2.676

9.  Retro-inverso D-peptides as a novel targeted immunotherapy for Type 1 diabetes.

Authors:  Angela Lombardi; Erlinda Concepcion; Hanxi Hou; Hanane Arib; Mihaly Mezei; Roman Osman; Yaron Tomer
Journal:  J Autoimmun       Date:  2020-09-17       Impact factor: 7.094

Review 10.  A functional framework for interpretation of genetic associations in T1D.

Authors:  Gerald T Nepom; Jane H Buckner
Journal:  Curr Opin Immunol       Date:  2012-07-26       Impact factor: 7.486

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