Genome-wide isolation of growth and obesity QTL using mouse speed congenic strains
نویسندگان
چکیده
منابع مشابه
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...
متن کاملDevelopment 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...
متن کاملA 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 ...
متن کاملGenome-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...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: BMC Genomics
سال: 2006
ISSN: 1471-2164
DOI: 10.1186/1471-2164-7-102