Reference : Systems genetics of metabolism: the use of the BXD murine reference panel for multisc...
Scientific journals : Article
Life sciences : Genetics & genetic processes
http://hdl.handle.net/10993/43164
Systems genetics of metabolism: the use of the BXD murine reference panel for multiscalar integration of traits.
English
Andreux, Penelope A. [> >]
Williams, Evan mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) >]
Koutnikova, Hana [> >]
Houtkooper, Riekelt H. [> >]
Champy, Marie-France [> >]
Henry, Hugues [> >]
Schoonjans, Kristina [> >]
Williams, Robert W. [> >]
Auwerx, Johan [> >]
2012
Cell
150
6
1287-99
Yes (verified by ORBilu)
International
0092-8674
1097-4172
United States
[en] Alkaline Phosphatase/chemistry/genetics ; Animals ; Crosses, Genetic ; Disease Models, Animal ; Female ; Homeostasis ; Humans ; Hypophosphatasia/genetics ; Male ; Metabolic Diseases/genetics ; Mice/genetics ; Mice, Inbred C57BL ; Mice, Inbred DBA ; Polymorphism, Genetic ; Quantitative Trait Loci ; Reference Standards ; Vitamin B 6/metabolism
[en] Metabolic homeostasis is achieved by complex molecular and cellular networks that differ significantly among individuals and are difficult to model with genetically engineered lines of mice optimized to study single gene function. Here, we systematically acquired metabolic phenotypes by using the EUMODIC EMPReSS protocols across a large panel of isogenic but diverse strains of mice (BXD type) to study the genetic control of metabolism. We generated and analyzed 140 classical phenotypes and deposited these in an open-access web service for systems genetics (www.genenetwork.org). Heritability, influence of sex, and genetic modifiers of traits were examined singly and jointly by using quantitative-trait locus (QTL) and expression QTL-mapping methods. Traits and networks were linked to loci encompassing both known variants and novel candidate genes, including alkaline phosphatase (ALPL), here linked to hypophosphatasia. The assembled and curated phenotypes provide key resources and exemplars that can be used to dissect complex metabolic traits and disorders.
http://hdl.handle.net/10993/43164
Copyright (c) 2012 Elsevier Inc. All rights reserved.

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