Genome-wide isolation of growth and obesity QTL using mouse speed congenic strains

Fast Genome-Wide QTL Analysis Using Mendel

Pedigree GWAS (Option 29) in the current version of the MENDEL software is an optimized subroutine for performing large scale genome-wide QTL analysis. This analysis (a) works for random sample data, pedigree data, or a mix of both, (b) is highly efficient in both run time and memory requirement, (c) accommodates both univariate and multivariate traits, (d) works for autosomal and x-linked loci...

Congenic Nonobese Diabetic Mouse Strains

Development and characterization of a congenic strain carrying Pbwg12, a growth QTL on mouse chromosome 12.

In previous genome-wide QTL studies, Pbwg12 on mouse chromosome 12 was discovered in a gene pool of wild Mus musculus castaneus mice. Pbwg12 does not have a main effect but has an epistatic interaction effect on body weight after birth. In this study, we developed a congenic strain, named B6.Cg-Pbwg12, with an approximately 59-Mb wild-derived genomic region harboring Pbwg12, by recurrent backcr...

A genome-wide set of congenic mouse strains derived from CAST/Ei on a C57BL/6 background.

We previously reported the construction of two sets of heterozygous congenic strains spanning the mouse genome. For both sets, C57BL/6J was employed as the background strain while DNA from either DBA/2 or CAST/Ei was introgressed to form the congenic region. We have subsequently bred most of these strains to produce homozygous breeding stocks. Here, we report the characterization of the strain ...

Genome-wide QTL and eQTL analyses using Mendel

Pedigree genome-wide association studies (GWAS) (Option 29) in the current version of the Mendel software is an optimized subroutine for performing large-scale genome-wide quantitative trait locus (QTL) analysis. This analysis (a) works for random sample data, pedigree data, or a mix of both; (b) is highly efficient in both run time and memory requirement; (c) accommodates both univariate and m...