Literature DB >> 16919419

Identification of diabetes susceptibility loci in db mice by combined quantitative trait loci analysis and haplotype mapping.

Maki Moritani1, Katsuhiko Togawa2, Hiroshi Yaguchi3, Yuka Fujita1, Yuka Yamaguchi1, Hiroshi Inoue1, Naoyuki Kamatani4, Mitsuo Itakura5.   

Abstract

To identify the disease-susceptibility genes of type 2 diabetes, we performed quantitative trait loci (QTL) analysis in F(2) populations generated from a BKS.Cg-m+/+Lepr(db) and C3H/HeJ intercross, taking advantage of genetically determined obesity and diabetes traits associated with the db gene. A genome-wide scan in the F(2) populations divided by sex and db genotypes identified 14 QTLs in total and 3 major QTLs on chromosome (Chr) 3 (LOD 5.78) for fat pad weight, Chr 15 (LOD 6.64) for body weight, and Chr 16 (LOD 8.15) for blood glucose concentrations. A linear-model-based genome scan using interactive covariates allowed us to consider sex- or sex-by db-specific effects of each locus. For the most significant QTL on Chr 16, the high-resolution haplotype comparison between BKS and C3H strains reduced the critical QTL interval from 20 to 4.6 Mb by excluding shared haplotype regions and identified 11 nonsynonymous single-nucleotide polymorphisms in six candidate genes.

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Year:  2006        PMID: 16919419     DOI: 10.1016/j.ygeno.2006.07.002

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  4 in total

1.  Candidate genes for plasma triglyceride, FFA, and glucose revealed from an intercross between inbred mouse strains NZB/B1NJ and NZW/LacJ.

Authors:  Zhiguang Su; Shirng-wern Tsaih; Jin Szatkiewicz; Yuan Shen; Beverly Paigen
Journal:  J Lipid Res       Date:  2008-03-24       Impact factor: 5.922

2.  Leptin does not directly affect CNS serotonin neurons to influence appetite.

Authors:  Daniel D Lam; Gina M Leinninger; Gwendolyn W Louis; Alastair S Garfield; Oliver J Marston; Rebecca L Leshan; Erica L Scheller; Lyndsay Christensen; Jose Donato; Jing Xia; Mark L Evans; Carol Elias; Jeffrey W Dalley; Denis I Burdakov; Martin G Myers; Lora K Heisler
Journal:  Cell Metab       Date:  2011-05-04       Impact factor: 27.287

3.  PosMed-plus: an intelligent search engine that inferentially integrates cross-species information resources for molecular breeding of plants.

Authors:  Yuko Makita; Norio Kobayashi; Yoshiki Mochizuki; Yuko Yoshida; Satomi Asano; Naohiko Heida; Mrinalini Deshpande; Rinki Bhatia; Akihiro Matsushima; Manabu Ishii; Shuji Kawaguchi; Kei Iida; Kosuke Hanada; Takashi Kuromori; Motoaki Seki; Kazuo Shinozaki; Tetsuro Toyoda
Journal:  Plant Cell Physiol       Date:  2009-06-15       Impact factor: 4.927

4.  PosMed (Positional Medline): prioritizing genes with an artificial neural network comprising medical documents to accelerate positional cloning.

Authors:  Yuko Yoshida; Yuko Makita; Naohiko Heida; Satomi Asano; Akihiro Matsushima; Manabu Ishii; Yoshiki Mochizuki; Hiroshi Masuya; Shigeharu Wakana; Norio Kobayashi; Tetsuro Toyoda
Journal:  Nucleic Acids Res       Date:  2009-05-25       Impact factor: 16.971

  4 in total

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