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Two Novel Candidate Genes for Insulin Secretion Identified by Comparative Genomics of Multiple Backcross Mouse Populations.
Schallschmidt, Tanja; Lebek, Sandra; Altenhofen, Delsi; Damen, Mareike; Schulte, Yvonne; Knebel, Birgit; Herwig, Ralf; Rasche, Axel; Stermann, Torben; Kamitz, Anne; Hallahan, Nicole; Jähnert, Markus; Vogel, Heike; Schürmann, Annette; Chadt, Alexandra; Al-Hasani, Hadi.
Afiliação
  • Schallschmidt T; Institute for Clinical Biochemistry and Pathobiochemistry, German Diabetes Center (DDZ), Medical Faculty, Heinrich Heine University, D-40225 Duesseldorf, Germany.
  • Lebek S; German Center for Diabetes Research (DZD), D-85764 München-Neuherberg, Germany.
  • Altenhofen D; Institute for Clinical Biochemistry and Pathobiochemistry, German Diabetes Center (DDZ), Medical Faculty, Heinrich Heine University, D-40225 Duesseldorf, Germany.
  • Damen M; German Center for Diabetes Research (DZD), D-85764 München-Neuherberg, Germany.
  • Schulte Y; Institute for Clinical Biochemistry and Pathobiochemistry, German Diabetes Center (DDZ), Medical Faculty, Heinrich Heine University, D-40225 Duesseldorf, Germany.
  • Knebel B; German Center for Diabetes Research (DZD), D-85764 München-Neuherberg, Germany.
  • Herwig R; Institute for Clinical Biochemistry and Pathobiochemistry, German Diabetes Center (DDZ), Medical Faculty, Heinrich Heine University, D-40225 Duesseldorf, Germany.
  • Rasche A; German Center for Diabetes Research (DZD), D-85764 München-Neuherberg, Germany.
  • Stermann T; Institute for Clinical Biochemistry and Pathobiochemistry, German Diabetes Center (DDZ), Medical Faculty, Heinrich Heine University, D-40225 Duesseldorf, Germany.
  • Kamitz A; German Center for Diabetes Research (DZD), D-85764 München-Neuherberg, Germany.
  • Hallahan N; Institute for Clinical Biochemistry and Pathobiochemistry, German Diabetes Center (DDZ), Medical Faculty, Heinrich Heine University, D-40225 Duesseldorf, Germany.
  • Jähnert M; German Center for Diabetes Research (DZD), D-85764 München-Neuherberg, Germany.
  • Vogel H; Department of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, D-14195 Berlin, Germany.
  • Schürmann A; Department of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, D-14195 Berlin, Germany.
  • Chadt A; Institute for Clinical Biochemistry and Pathobiochemistry, German Diabetes Center (DDZ), Medical Faculty, Heinrich Heine University, D-40225 Duesseldorf, Germany.
  • Al-Hasani H; German Center for Diabetes Research (DZD), D-85764 München-Neuherberg, Germany.
Genetics ; 210(4): 1527-1542, 2018 12.
Article em En | MEDLINE | ID: mdl-30341086
To identify novel disease genes for type 2 diabetes (T2D) we generated two backcross populations of obese and diabetes-susceptible New Zealand Obese (NZO/HI) mice with the two lean mouse strains 129P2/OlaHsd and C3HeB/FeJ. Subsequent whole-genome linkage scans revealed 30 novel quantitative trait loci (QTL) for T2D-associated traits. The strongest association with blood glucose [12 cM, logarithm of the odds (LOD) 13.3] and plasma insulin (17 cM, LOD 4.8) was detected on proximal chromosome 7 (designated Nbg7p, NZO blood glucose on proximal chromosome 7) exclusively in the NZOxC3H crossbreeding, suggesting that the causal gene is contributed by the C3H genome. Introgression of the critical C3H fragment into the genetic NZO background by generating recombinant congenic strains and metabolic phenotyping validated the phenotype. For the detection of candidate genes in the critical region (30-46 Mb), we used a combined approach of haplotype and gene expression analysis to search for C3H-specific gene variants in the pancreatic islets, which appeared to be the most likely target tissue for the QTL. Two genes, Atp4a and Pop4, fulfilled the criteria from our candidate gene approaches. The knockdown of both genes in MIN6 cells led to decreased glucose-stimulated insulin secretion, indicating a regulatory role of both genes in insulin secretion, thereby possibly contributing to the phenotype linked to Nbg7p In conclusion, our combined- and comparative-cross analysis approach has successfully led to the identification of two novel diabetes susceptibility candidate genes, and thus has been proven to be a valuable tool for the discovery of novel disease genes.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 / Secreção de Insulina / Insulina / Obesidade Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Revista: Genetics Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 / Secreção de Insulina / Insulina / Obesidade Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Revista: Genetics Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Alemanha