Literature DB >> 17693571

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

Michal Pravenec1, Masaya Hyakukoku, Josef Houstek, Vaclav Zidek, Vladimir Landa, Petr Mlejnek, Ivan Miksik, Kristyna Dudová-Mothejzikova, Petr Pecina, Marek Vrbacky, Zdenek Drahota, Alena Vojtiskova, Tomas Mracek, Ludmila Kazdova, Olena Oliyarnyk, Jiaming Wang, Christopher Ho, Nathan Qi, Ken Sugimoto, Theodore Kurtz.   

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.

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Year:  2007        PMID: 17693571      PMCID: PMC1950900          DOI: 10.1101/gr.6548207

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  30 in total

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