Literature DB >> 9257847

Congenic mapping of the insulin-dependent diabetes (Idd) gene, Idd10, localizes two genes mediating the Idd10 effect and eliminates the candidate Fcgr1.

P L Podolin1, P Denny, C J Lord, N J Hill, J A Todd, L B Peterson, L S Wicker, P A Lyons.   

Abstract

The development of autoimmune diabetes in the nonobese diabetic (NOD) mouse is under the control of multiple insulin-dependent diabetes (Idd) genes. The Idd3 gene, originally defined as a broad peak of linkage on mouse chromosome 3, was subsequently identified as two genes, Idd3 and Idd10, separated by at least 20 cM. The resistance alleles of Idd3 and Idd10 individually confer only partial protection from diabetes but, in combination, result in profound resistance to disease due to an epistatic genetic interaction. In this study, we used newly developed congenic strains to further localize Idd10. Surprisingly, we found that Idd10 itself comprises at least two linked loci: Idd10 and the newly designated Idd17. Idd17 was localized to a 1.1-cM region between D3Mit26 and D3Mit40, proximal to Fcgr1, a candidate gene encoding the high affinity Fc receptor for IgG. Idd10 was localized to a 10-cM region between D3Mit213 and D3Mit106, distal to Fcgr1. Thus, Fcgr1 was excluded as a candidate for either Idd10 or Idd17, despite the fact that the NOD strain expresses a mutant form of the receptor. Interestingly, although Idd10 and Idd17 participate in a genetic interaction with each other, Idd10 but not Idd17 participates in the genetic interaction with Idd3. Our study on chromosome 3 begins to reveal the extent of the polygenic nature of autoimmune diabetes, and demonstrates that the use of congenic strains is an effective mapping strategy, even in the dissection of multiple, linked genes with subtle effects.

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Year:  1997        PMID: 9257847

Source DB:  PubMed          Journal:  J Immunol        ISSN: 0022-1767            Impact factor:   5.422


  28 in total

1.  Age and sex based genetic locus heterogeneity in type 1 diabetes.

Authors:  A D Paterson; A Petronis
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Authors:  F Bihl; M Brahic; J F Bureau
Journal:  Genetics       Date:  1999-05       Impact factor: 4.562

3.  Genes mediating environment interactions in type 1 diabetes.

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Review 4.  Unraveling the pathophysiology of Sjogren syndrome-associated dry eye disease.

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Journal:  Ocul Surf       Date:  2009-01       Impact factor: 5.033

Review 5.  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

6.  Genetic mapping of loci controlling diethylstilbestrol-induced thymic atrophy in the Brown Norway rat.

Authors:  Karen A Gould; Tracy E Strecker; Kimberly K Hansen; Kimberly K Bynoté; Kelli A Peterson; James D Shull
Journal:  Mamm Genome       Date:  2006-05       Impact factor: 2.957

Review 7.  Genetic analysis of type 1 diabetes: embryonic stem cells as new tools to unlock biological mechanisms in type 1 diabetes.

Authors:  Nick Holmes; Anne Cooke
Journal:  Rev Diabet Stud       Date:  2012-12-28

8.  Congenic mapping of the type 1 diabetes locus, Idd3, to a 780-kb region of mouse chromosome 3: identification of a candidate segment of ancestral DNA by haplotype mapping.

Authors:  P A Lyons; N Armitage; F Argentina; P Denny; N J Hill; C J Lord; M B Wilusz; L B Peterson; L S Wicker; J A Todd
Journal:  Genome Res       Date:  2000-04       Impact factor: 9.043

9.  Clustering of non-major histocompatibility complex susceptibility candidate loci in human autoimmune diseases.

Authors:  K G Becker; R M Simon; J E Bailey-Wilson; B Freidlin; W E Biddison; H F McFarland; J M Trent
Journal:  Proc Natl Acad Sci U S A       Date:  1998-08-18       Impact factor: 11.205

10.  Idd loci synergize to prolong islet allograft survival induced by costimulation blockade in NOD mice.

Authors:  Julie Mangada; Todd Pearson; Michael A Brehm; Linda S Wicker; Laurence B Peterson; Leonard D Shultz; David V Serreze; Aldo A Rossini; Dale L Greiner
Journal:  Diabetes       Date:  2008-11-04       Impact factor: 9.461

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