ID | 118430 |
Author |
Moritani, Maki
The University of Tokushima
Togawa, Katsuhiko
The University of Tokushima|Otsuka Pharmaceutical, Inc.
Yaguchi, Hiroshi
Otsuka Pharmaceutical Factory, Inc.
Fujita, Yuka
The University of Tokushima
Inoue, Hiroshi
The University of Tokushima
Kamatani, Naoyuki
Tokyo Women's Medical University
Itakura, Mitsuo
The University of Tokushima
Tokushima University Educator and Researcher Directory
KAKEN Search Researchers
|
Keywords | Type 2 diabetes (T2D)
Leprdb (db) mice
F2 intercross
R/qtl
Conditional QTL
SNP (single-nucleotide polymorphism)
Haplotype block
Haplotype mapping
|
Content Type |
Journal Article
|
Description | To identify the disease-susceptibility genes of type 2 diabetes, we performed quantitative trait loci (QTL) analysis in F2 populations generated from a BKS.Cg-m+/+Leprdb and C3H/HeJ intercross, taking advantage of genetically determined obesity and diabetes traits associated with the db gene. A genome-wide scan in the F2 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.
|
Journal Title |
Genomics
|
ISSN | 08887543
10898646
|
NCID | AA10678346
AA11537587
|
Publisher | Elsevier
|
Volume | 88
|
Issue | 6
|
Start Page | 719
|
End Page | 730
|
Published Date | 2006-08-17
|
Rights | Open Archive
|
EDB ID | |
DOI (Published Version) | |
URL ( Publisher's Version ) | |
FullText File | |
language |
eng
|
TextVersion |
Publisher
|
departments |
AWA Support Center
Institute of Advanced Medical Sciences
|