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Direct linkage of mitochondrial genome variation to risk factors for type 2 diabetes in conplastic strains.

Authors :
Pravenec, Michal
Hyakukoku, Masaya
Houstek, Josef
Zidek, Vaclav
Landa, Vladimir
Mlejnek, Petr
Miksik, Ivan
Dudová-Mothejzikova, Kristyna
Pecina, Petr
Vrbacky, Marek
Drahota, Zdenek
Vojtiskova, Alena
Mracek, Tomas
Kazdova, Ludmila
Oliyarnyk, Olena
Jiaming Wang
Ho, Christopher
Qi, Nathan
Sugimoto, Ken
Kurtz, Theodore
Source :
Genome Research. Sep2007, Vol. 17 Issue 9, p8-8. 1p.
Publication Year :
2007

Abstract

Recently, the relationship of mitochondrial DNA (mtDNA) variants to metabolic risk factors for diabetes and other common diseases has begun to attract increasing attention. However, progress in this area has been limited because (1) the phenotypic effects of variation in the mitochondrial genome are difficult to isolate owing to confounding variation in the nuclear genome, imprinting phenomena, and environmental factors; and (2) few animal models have been available for directly investigating the effects of mtDNA variants on complex metabolic phenotypes in vivo. Substitution of different mitochondrial genomes on the same nuclear genetic background in conplastic strains provides a way to unambiguously isolate effects of the mitochondrial genome on complex traits. Here we show that conplastic strains of rats with identical nuclear genomes but divergent mitochondrial genomes that encode amino acid differences in proteins of oxidative phosphorylation exhibit differences in major metabolic risk factors for type 2 diabetes. These results (1) provide the first direct evidence linking naturally occurring variation in the mitochondrial genome, independent of variation in the nuclear genome and other confounding factors, to inherited variation in known risk factors for type 2 diabetes; and (2) establish that spontaneous variation in the mitochondrial genome per se can promote systemic metabolic disturbances relevant to the pathogenesis of common diseases. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10889051
Volume :
17
Issue :
9
Database :
Academic Search Index
Journal :
Genome Research
Publication Type :
Academic Journal
Accession number :
27200736
Full Text :
https://doi.org/10.1101/gr.6548207