Literature DB >> 21051460

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

Iris K L Tan1, 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.   

Abstract

More than 25 loci have been linked to type 1 diabetes (T1D) in the nonobese diabetic (NOD) mouse, but identification of the underlying genes remains challenging. We describe here the positional cloning of a T1D susceptibility locus, Idd11, located on mouse chromosome 4. Sequence analysis of a series of congenic NOD mouse strains over a critical 6.9-kb interval in these mice and in 25 inbred strains identified several haplotypes, including a unique NOD haplotype, associated with varying levels of T1D susceptibility. Haplotype diversity within this interval between congenic NOD mouse strains was due to a recombination hotspot that generated four crossover breakpoints, including one with a complex conversion tract. The Idd11 haplotype and recombination hotspot are located within a predicted gene of unknown function, which exhibits decreased expression in relevant tissues of NOD mice. Notably, it was the recombination hotspot that aided our mapping of Idd11 and confirms that recombination hotspots can create genetic variation affecting a common polygenic disease. This finding has implications for human genetic association studies, which may be affected by the approximately 33,000 estimated hotspots in the genome.

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Year:  2010        PMID: 21051460      PMCID: PMC2989989          DOI: 10.1101/gr.101881.109

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  69 in total

Review 1.  Mechanisms of alternative pre-messenger RNA splicing.

Authors:  Douglas L Black
Journal:  Annu Rev Biochem       Date:  2003-02-27       Impact factor: 23.643

Review 2.  Where the crossovers are: recombination distributions in mammals.

Authors:  Liisa Kauppi; Alec J Jeffreys; Scott Keeney
Journal:  Nat Rev Genet       Date:  2004-06       Impact factor: 53.242

3.  Basic local alignment search tool.

Authors:  S F Altschul; W Gish; W Miller; E W Myers; D J Lipman
Journal:  J Mol Biol       Date:  1990-10-05       Impact factor: 5.469

Review 4.  Haplotypes and the systematic analysis of genetic variation in genes and genomes.

Authors:  Margret R Hoehe
Journal:  Pharmacogenomics       Date:  2003-09       Impact factor: 2.533

5.  NOR/Lt mice: MHC-matched diabetes-resistant control strain for NOD mice.

Authors:  M Prochazka; D V Serreze; W N Frankel; E H Leiter
Journal:  Diabetes       Date:  1992-01       Impact factor: 9.461

Review 6.  Hotspots of homologous recombination in mouse meiosis.

Authors:  T Shiroishi; T Koide; M Yoshino; T Sagai; K Moriwaki
Journal:  Adv Biophys       Date:  1995

7.  Mapping of an insulin-dependent diabetes locus, Idd9, in NOD mice to chromosome 4.

Authors:  N R Rodrigues; R J Cornall; P Chandler; E Simpson; L S Wicker; L B Peterson; J A Todd
Journal:  Mamm Genome       Date:  1994-03       Impact factor: 2.957

8.  Genetic and physiological association of diabetes susceptibility with raised Na+/H+ exchange activity.

Authors:  G Morahan; P McClive; D Huang; P Little; A Baxter
Journal:  Proc Natl Acad Sci U S A       Date:  1994-06-21       Impact factor: 11.205

9.  Intense and highly localized gene conversion activity in human meiotic crossover hot spots.

Authors:  Alec J Jeffreys; Celia A May
Journal:  Nat Genet       Date:  2004-01-04       Impact factor: 38.330

10.  Breeding of a non-obese, diabetic strain of mice.

Authors:  S Makino; K Kunimoto; Y Muraoka; Y Mizushima; K Katagiri; Y Tochino
Journal:  Jikken Dobutsu       Date:  1980-01
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  12 in total

1.  Subcongenic analyses reveal complex interactions between distal chromosome 4 genes controlling diabetogenic B cells and CD4 T cells in nonobese diabetic mice.

Authors:  Jessica Stolp; Yi-Guang Chen; Selwyn L Cox; Vivien Henck; Wenyu Zhang; Shirng-Wern Tsaih; Harold Chapman; Timothy Stearns; David V Serreze; Pablo A Silveira
Journal:  J Immunol       Date:  2012-06-25       Impact factor: 5.422

2.  Congenic mapping identifies a novel Idd9 subregion regulating type 1 diabetes in NOD mice.

Authors:  Bixuan Lin; Ashley E Ciecko; Erin MacKinney; David V Serreze; Yi-Guang Chen
Journal:  Immunogenetics       Date:  2016-10-28       Impact factor: 2.846

3.  Congenic mice reveal genetic epistasis and overlapping disease loci for autoimmune diabetes and listeriosis.

Authors:  Nancy Wang; Colleen M Elso; Leanne Mackin; Stuart I Mannering; Richard A Strugnell; Odilia L Wijburg; Thomas C Brodnicki
Journal:  Immunogenetics       Date:  2014-06-07       Impact factor: 2.846

4.  Genome-wide transcriptional analyses of islet-specific CD4+ T cells identify Idd9 genes controlling diabetogenic T cell function.

Authors:  Gregory J Berry; Christine Frielle; Thaiphi Luu; Anna C Salzberg; Daniel B Rainbow; Linda S Wicker; Hanspeter Waldner
Journal:  J Immunol       Date:  2015-02-11       Impact factor: 5.422

5.  Mouse genetic approaches applied to the normal tissue radiation response.

Authors:  Christina K Haston
Journal:  Front Oncol       Date:  2012-08-07       Impact factor: 6.244

6.  Genotype and ancestry modulate brain's DAT availability in healthy humans.

Authors:  Elena Shumay; John Chen; Joanna S Fowler; Nora D Volkow
Journal:  PLoS One       Date:  2011-08-03       Impact factor: 3.240

7.  Differences in meiotic recombination rates in childhood acute lymphoblastic leukemia at an MHC class II hotspot close to disease associated haplotypes.

Authors:  Pamela Thompson; Kevin Urayama; Jie Zheng; Peng Yang; Matt Ford; Patricia Buffler; Anand Chokkalingam; Tracy Lightfoot; Malcolm Taylor
Journal:  PLoS One       Date:  2014-06-24       Impact factor: 3.240

Review 8.  Genetic variation in the extended major histocompatibility complex and susceptibility to childhood acute lymphoblastic leukemia: a review of the evidence.

Authors:  Kevin Y Urayama; Pamela D Thompson; Malcolm Taylor; Elizabeth A Trachtenberg; Anand P Chokkalingam
Journal:  Front Oncol       Date:  2013-12-12       Impact factor: 6.244

9.  Natural polymorphisms in Tap2 influence negative selection and CD4∶CD8 lineage commitment in the rat.

Authors:  Jonatan Tuncel; Sabrina Haag; Anthony C Y Yau; Ulrika Norin; Amelie Baud; Erik Lönnblom; Klio Maratou; A Jimmy Ytterberg; Diana Ekman; Soley Thordardottir; Martina Johannesson; Alan Gillett; Pernilla Stridh; Maja Jagodic; Tomas Olsson; Alberto Fernández-Teruel; Roman A Zubarev; Richard Mott; Timothy J Aitman; Jonathan Flint; Rikard Holmdahl
Journal:  PLoS Genet       Date:  2014-02-20       Impact factor: 5.917

10.  Fine mapping of type 1 diabetes regions Idd9.1 and Idd9.2 reveals genetic complexity.

Authors:  Emma E Hamilton-Williams; Daniel B Rainbow; Jocelyn Cheung; Mikkel Christensen; Paul A Lyons; Laurence B Peterson; Charles A Steward; Linda A Sherman; Linda S Wicker
Journal:  Mamm Genome       Date:  2013-08-11       Impact factor: 2.957

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