Literature DB >> 19111166

Gene-gene interactions in the NOD mouse model of type 1 diabetes.

William M Ridgway1, Laurence B Peterson, John A Todd, Dan B Rainbow, Barry Healy, Oliver S Burren, Linda S Wicker.   

Abstract

Human genome wide association studies (GWAS) have recently identified at least four new, non-MHC-linked candidate genes or gene regions causing type one diabetes (T1D), highlighting the need for functional models to investigate how susceptibility alleles at multiple common genes interact to mediate disease. Progress in localizing genes in congenic strains of the nonobese diabetic (NOD) mouse has allowed the reproducible testing of gene functions and gene-gene interactions that can be reflected biologically as intrapathway interactions, for example, IL-2 and its receptor CD25, pathway-pathway interactions such as two signaling pathways within a cell, or cell-cell interactions. Recent studies have identified likely causal genes in two congenic intervals associated with T1D, Idd3, and Idd5, and have documented the occurrence of gene-gene interactions, including "genetic masking", involving the genes encoding the critical immune molecules IL-2 and CTLA-4. The demonstration of gene-gene interactions in congenic mouse models of T1D has major implications for the understanding of human T1D since such biological interactions are highly likely to exist for human T1D genes. Although it is difficult to detect most gene-gene interactions in a population in which susceptibility and protective alleles at many loci are randomly segregating, their existence as revealed in congenic mice reinforces the hypothesis that T1D alleles can have strong biological effects and that such genes highlight pathways to consider as targets for immune intervention.

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Mesh:

Year:  2008        PMID: 19111166     DOI: 10.1016/S0065-2776(08)00806-7

Source DB:  PubMed          Journal:  Adv Immunol        ISSN: 0065-2776            Impact factor:   3.543


  41 in total

Review 1.  Regulatory T cells exert checks and balances on self tolerance and autoimmunity.

Authors:  Kajsa Wing; Shimon Sakaguchi
Journal:  Nat Immunol       Date:  2009-12-17       Impact factor: 25.606

Review 2.  Influence of microbial environment on autoimmunity.

Authors:  Alexander V Chervonsky
Journal:  Nat Immunol       Date:  2009-12-17       Impact factor: 25.606

Review 3.  Comparative genetics: synergizing human and NOD mouse studies for identifying genetic causation of type 1 diabetes.

Authors:  John P Driver; Yi-Guang Chen; Clayton E Mathews
Journal:  Rev Diabet Stud       Date:  2012-12-28

4.  Naturally transmitted segmented filamentous bacteria segregate with diabetes protection in nonobese diabetic mice.

Authors:  Martin A Kriegel; Esen Sefik; Jonathan A Hill; Hsin-Jung Wu; Christophe Benoist; Diane Mathis
Journal:  Proc Natl Acad Sci U S A       Date:  2011-06-27       Impact factor: 11.205

5.  A recombination hotspot leads to sequence variability within a novel gene (AK005651) and contributes to type 1 diabetes susceptibility.

Authors:  Iris K L Tan; Leanne Mackin; Nancy Wang; Anthony T Papenfuss; Colleen M Elso; Michelle P Ashton; Fiona Quirk; Belinda Phipson; Melanie Bahlo; Terence P Speed; Gordon K Smyth; Grant Morahan; Thomas C Brodnicki
Journal:  Genome Res       Date:  2010-11-04       Impact factor: 9.043

6.  Nonobese diabetic congenic strain analysis of autoimmune diabetes reveals genetic complexity of the Idd18 locus and identifies Vav3 as a candidate gene.

Authors:  Heather I Fraser; Calliope A Dendrou; Barry Healy; Daniel B Rainbow; Sarah Howlett; Luc J Smink; Simon Gregory; Charles A Steward; John A Todd; Laurence B Peterson; Linda S Wicker
Journal:  J Immunol       Date:  2010-04-02       Impact factor: 5.422

Review 7.  After GWAS: mice to the rescue?

Authors:  Joerg Ermann; Laurie H Glimcher
Journal:  Curr Opin Immunol       Date:  2012-09-29       Impact factor: 7.486

8.  Genetic interactions among Idd3, Idd5.1, Idd5.2, and Idd5.3 protective loci in the nonobese diabetic mouse model of type 1 diabetes.

Authors:  Xiaotian Lin; Emma E Hamilton-Williams; Daniel B Rainbow; Kara M Hunter; Yang D Dai; Jocelyn Cheung; Laurence B Peterson; Linda S Wicker; Linda A Sherman
Journal:  J Immunol       Date:  2013-02-20       Impact factor: 5.422

9.  Prediction and interaction in complex disease genetics: experience in type 1 diabetes.

Authors:  David G Clayton
Journal:  PLoS Genet       Date:  2009-07-03       Impact factor: 5.917

10.  Genome-wide end-sequenced BAC resources for the NOD/MrkTac() and NOD/ShiLtJ() mouse genomes.

Authors:  Charles A Steward; Sean Humphray; Bob Plumb; Matthew C Jones; Michael A Quail; Stephen Rice; Tony Cox; Rob Davies; James Bonfield; Thomas M Keane; Michael Nefedov; Pieter J de Jong; Paul Lyons; Linda Wicker; John Todd; Yoshihide Hayashizaki; Omid Gulban; Jayne Danska; Jen Harrow; Tim Hubbard; Jane Rogers; David J Adams
Journal:  Genomics       Date:  2009-11-10       Impact factor: 5.736

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