Document Type
Article
Publication Date
7-29-2022
Publication Title
G3 (Bethesda, Md.)
Keywords
JMG, GWAS, MPP, QTL mapping, genome-wide association studies, multiparental populations, quantitative trait loci mapping
JAX Source
G3 (Bethesda) . 2022 Jul 29;12(8):jkac146.
Volume
12
Issue
8
PMID
35703938
DOI
10.1093/g3journal/jkac146
Grant
This work was supported by the Jackson Laboratory Cube Initiative and grant funding from the National Institute of Health (NIH): R01GM070683 (GAC and KWB), F32GM134599 (GRK), R01DK101573 (MPK), and RC2DK125961 (MPK). This work was also supported by the University of Wisconsin–Madison, Department of Biochemistry and Office of the Vice Chancellor for Research and Graduate Education with funding from the Wisconsin Alumni Research Foundation (MPK).
Abstract
The Collaborative Cross and the Diversity Outbred mouse populations are related multiparental populations, derived from the same 8 isogenic founder strains. They carry >50 M known genetic variants, which makes them ideal tools for mapping genetic loci that regulate phenotypes, including physiological and molecular traits. Mapping quantitative trait loci requires statistical and computational training, which can present a barrier to access for some researchers. The QTLViewer software allows users to graphically explore Collaborative Cross and Diversity Outbred quantitative trait locus mapping and related analyses performed through the R/qtl2 package. Additionally, the QTLViewer website serves as a repository for published Collaborative Cross and Diversity Outbred studies, increasing the accessibility of these genetic resources to the broader scientific community.
Recommended Citation
Vincent M,
Gerdes Gyuricza I,
Keele G,
Gatti DM,
Keller MP,
Broman KW,
Churchill G.
QTLViewer: an interactive webtool for genetic analysis in the Collaborative Cross and Diversity Outbred mouse populations G3 (Bethesda) . 2022 Jul 29;12(8):jkac146.
Comments
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited