Cargando…

Common Inherited Variation in Mitochondrial Genes Is Not Enriched for Associations with Type 2 Diabetes or Related Glycemic Traits

Mitochondrial dysfunction has been observed in skeletal muscle of people with diabetes and insulin-resistant individuals. Furthermore, inherited mutations in mitochondrial DNA can cause a rare form of diabetes. However, it is unclear whether mitochondrial dysfunction is a primary cause of the common...

Descripción completa

Detalles Bibliográficos
Autores principales: Segrè, Ayellet V., Groop, Leif, Mootha, Vamsi K., Daly, Mark J., Altshuler, David
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2920848/
https://www.ncbi.nlm.nih.gov/pubmed/20714348
http://dx.doi.org/10.1371/journal.pgen.1001058
_version_ 1782185318191988736
author Segrè, Ayellet V.
Groop, Leif
Mootha, Vamsi K.
Daly, Mark J.
Altshuler, David
author_facet Segrè, Ayellet V.
Groop, Leif
Mootha, Vamsi K.
Daly, Mark J.
Altshuler, David
author_sort Segrè, Ayellet V.
collection PubMed
description Mitochondrial dysfunction has been observed in skeletal muscle of people with diabetes and insulin-resistant individuals. Furthermore, inherited mutations in mitochondrial DNA can cause a rare form of diabetes. However, it is unclear whether mitochondrial dysfunction is a primary cause of the common form of diabetes. To date, common genetic variants robustly associated with type 2 diabetes (T2D) are not known to affect mitochondrial function. One possibility is that multiple mitochondrial genes contain modest genetic effects that collectively influence T2D risk. To test this hypothesis we developed a method named Meta-Analysis Gene-set Enrichment of variaNT Associations (MAGENTA; http://www.broadinstitute.org/mpg/magenta). MAGENTA, in analogy to Gene Set Enrichment Analysis, tests whether sets of functionally related genes are enriched for associations with a polygenic disease or trait. MAGENTA was specifically designed to exploit the statistical power of large genome-wide association (GWA) study meta-analyses whose individual genotypes are not available. This is achieved by combining variant association p-values into gene scores and then correcting for confounders, such as gene size, variant number, and linkage disequilibrium properties. Using simulations, we determined the range of parameters for which MAGENTA can detect associations likely missed by single-marker analysis. We verified MAGENTA's performance on empirical data by identifying known relevant pathways in lipid and lipoprotein GWA meta-analyses. We then tested our mitochondrial hypothesis by applying MAGENTA to three gene sets: nuclear regulators of mitochondrial genes, oxidative phosphorylation genes, and ∼1,000 nuclear-encoded mitochondrial genes. The analysis was performed using the most recent T2D GWA meta-analysis of 47,117 people and meta-analyses of seven diabetes-related glycemic traits (up to 46,186 non-diabetic individuals). This well-powered analysis found no significant enrichment of associations to T2D or any of the glycemic traits in any of the gene sets tested. These results suggest that common variants affecting nuclear-encoded mitochondrial genes have at most a small genetic contribution to T2D susceptibility.
format Text
id pubmed-2920848
institution National Center for Biotechnology Information
language English
publishDate 2010
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-29208482010-08-16 Common Inherited Variation in Mitochondrial Genes Is Not Enriched for Associations with Type 2 Diabetes or Related Glycemic Traits Segrè, Ayellet V. Groop, Leif Mootha, Vamsi K. Daly, Mark J. Altshuler, David PLoS Genet Research Article Mitochondrial dysfunction has been observed in skeletal muscle of people with diabetes and insulin-resistant individuals. Furthermore, inherited mutations in mitochondrial DNA can cause a rare form of diabetes. However, it is unclear whether mitochondrial dysfunction is a primary cause of the common form of diabetes. To date, common genetic variants robustly associated with type 2 diabetes (T2D) are not known to affect mitochondrial function. One possibility is that multiple mitochondrial genes contain modest genetic effects that collectively influence T2D risk. To test this hypothesis we developed a method named Meta-Analysis Gene-set Enrichment of variaNT Associations (MAGENTA; http://www.broadinstitute.org/mpg/magenta). MAGENTA, in analogy to Gene Set Enrichment Analysis, tests whether sets of functionally related genes are enriched for associations with a polygenic disease or trait. MAGENTA was specifically designed to exploit the statistical power of large genome-wide association (GWA) study meta-analyses whose individual genotypes are not available. This is achieved by combining variant association p-values into gene scores and then correcting for confounders, such as gene size, variant number, and linkage disequilibrium properties. Using simulations, we determined the range of parameters for which MAGENTA can detect associations likely missed by single-marker analysis. We verified MAGENTA's performance on empirical data by identifying known relevant pathways in lipid and lipoprotein GWA meta-analyses. We then tested our mitochondrial hypothesis by applying MAGENTA to three gene sets: nuclear regulators of mitochondrial genes, oxidative phosphorylation genes, and ∼1,000 nuclear-encoded mitochondrial genes. The analysis was performed using the most recent T2D GWA meta-analysis of 47,117 people and meta-analyses of seven diabetes-related glycemic traits (up to 46,186 non-diabetic individuals). This well-powered analysis found no significant enrichment of associations to T2D or any of the glycemic traits in any of the gene sets tested. These results suggest that common variants affecting nuclear-encoded mitochondrial genes have at most a small genetic contribution to T2D susceptibility. Public Library of Science 2010-08-12 /pmc/articles/PMC2920848/ /pubmed/20714348 http://dx.doi.org/10.1371/journal.pgen.1001058 Text en Segrè et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Segrè, Ayellet V.
Groop, Leif
Mootha, Vamsi K.
Daly, Mark J.
Altshuler, David
Common Inherited Variation in Mitochondrial Genes Is Not Enriched for Associations with Type 2 Diabetes or Related Glycemic Traits
title Common Inherited Variation in Mitochondrial Genes Is Not Enriched for Associations with Type 2 Diabetes or Related Glycemic Traits
title_full Common Inherited Variation in Mitochondrial Genes Is Not Enriched for Associations with Type 2 Diabetes or Related Glycemic Traits
title_fullStr Common Inherited Variation in Mitochondrial Genes Is Not Enriched for Associations with Type 2 Diabetes or Related Glycemic Traits
title_full_unstemmed Common Inherited Variation in Mitochondrial Genes Is Not Enriched for Associations with Type 2 Diabetes or Related Glycemic Traits
title_short Common Inherited Variation in Mitochondrial Genes Is Not Enriched for Associations with Type 2 Diabetes or Related Glycemic Traits
title_sort common inherited variation in mitochondrial genes is not enriched for associations with type 2 diabetes or related glycemic traits
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2920848/
https://www.ncbi.nlm.nih.gov/pubmed/20714348
http://dx.doi.org/10.1371/journal.pgen.1001058
work_keys_str_mv AT segreayelletv commoninheritedvariationinmitochondrialgenesisnotenrichedforassociationswithtype2diabetesorrelatedglycemictraits
AT commoninheritedvariationinmitochondrialgenesisnotenrichedforassociationswithtype2diabetesorrelatedglycemictraits
AT commoninheritedvariationinmitochondrialgenesisnotenrichedforassociationswithtype2diabetesorrelatedglycemictraits
AT groopleif commoninheritedvariationinmitochondrialgenesisnotenrichedforassociationswithtype2diabetesorrelatedglycemictraits
AT moothavamsik commoninheritedvariationinmitochondrialgenesisnotenrichedforassociationswithtype2diabetesorrelatedglycemictraits
AT dalymarkj commoninheritedvariationinmitochondrialgenesisnotenrichedforassociationswithtype2diabetesorrelatedglycemictraits
AT altshulerdavid commoninheritedvariationinmitochondrialgenesisnotenrichedforassociationswithtype2diabetesorrelatedglycemictraits