The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Comprehensive association testing of common mitochondrial DNA variation in metabolic disease

På svenska

Author

  • R Saxena
  • PIW de Bakker
  • K Singer
  • V Mootha
  • N Burtt
  • JN Hirschhorn
  • D Gaudet
  • B Isomaa
  • MJ Daly
  • Leif Groop
  • KG Ardlie
  • D Altshuler
Show all

Summary, in English

Many lines of evidence implicate mitochondria in phenotypic variation: ( a) rare mutations in mitochondrial proteins cause metabolic, neurological, and muscular disorders; ( b) alterations in oxidative phosphorylation are characteristic of type 2 diabetes, Parkinson disease, Huntington disease, and other diseases; and ( c) common missense variants in the mitochondrial genome ( mtDNA) have been implicated as having been subject to natural selection for adaptation to cold climates and contributing to "energy deficiency" diseases today. To test the hypothesis that common mtDNA variation influences human physiology and disease, we identified all 144 variants with frequency > 1% in Europeans from > 900 publicly available European mtDNA sequences and selected 64 tagging single-nucleotide polymorphisms that efficiently capture all common variation ( except the hypervariable D-loop). Next, we evaluated the complete set of common mtDNA variants for association with type 2 diabetes in a sample of 3,304 diabetics and 3,304 matched nondiabetic individuals. Association of mtDNA variants with other metabolic traits ( body mass index, measures of insulin secretion and action, blood pressure, and cholesterol) was also tested in subsets of this sample. We did not find a significant association of common mtDNA variants with these metabolic phenotypes. Moreover, we failed to identify any physiological effect of alleles that were previously proposed to have been adaptive for energy metabolism in human evolution. More generally, this comprehensive association-testing framework can readily be applied to other diseases for which mitochondrial dysfunction has been implicated.

Publishing year

2006

Language

English

Pages

54-61

Publication/Series

American Journal of Human Genetics

Volume

79

Issue

1

Document type

Journal article

Publisher

Cell Press

Topic

  • Medical Genetics

Status

Published

Research group

  • Genomics, Diabetes and Endocrinology

ISBN/ISSN/Other

  • ISSN: 0002-9297