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Network analysis of mitonuclear GWAS reveals functional networks and tissue expression profiles of disease-associated genes

While mitochondria have been linked to many human diseases through genetic association and functional studies, the precise role of mitochondria in specific pathologies, such as cardiovascular, neurodegenerative, and metabolic diseases, is often unclear. Here, we take advantage of the catalog of huma...

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Autores principales: Johnson, Simon C., Gonzalez, Brenda, Zhang, Quanwei, Milholland, Brandon, Zhang, Zhengdong, Suh, Yousin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5214989/
https://www.ncbi.nlm.nih.gov/pubmed/27704213
http://dx.doi.org/10.1007/s00439-016-1736-9
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author Johnson, Simon C.
Gonzalez, Brenda
Zhang, Quanwei
Milholland, Brandon
Zhang, Zhengdong
Suh, Yousin
author_facet Johnson, Simon C.
Gonzalez, Brenda
Zhang, Quanwei
Milholland, Brandon
Zhang, Zhengdong
Suh, Yousin
author_sort Johnson, Simon C.
collection PubMed
description While mitochondria have been linked to many human diseases through genetic association and functional studies, the precise role of mitochondria in specific pathologies, such as cardiovascular, neurodegenerative, and metabolic diseases, is often unclear. Here, we take advantage of the catalog of human genome-wide associations, whole-genome tissue expression and expression quantitative trait loci datasets, and annotated mitochondrial proteome databases to examine the role of common genetic variation in mitonuclear genes in human disease. Through pathway-based analysis we identified distinct functional pathways and tissue expression profiles associated with each of the major human diseases. Among our most striking findings, we observe that mitonuclear genes associated with cancer are broadly expressed among human tissues and largely represent one functional process, intrinsic apoptosis, while mitonuclear genes associated with other diseases, such as neurodegenerative and metabolic diseases, show tissue-specific expression profiles and are associated with unique functional pathways. These results provide new insight into human diseases using unbiased genome-wide approaches. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00439-016-1736-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-52149892017-01-18 Network analysis of mitonuclear GWAS reveals functional networks and tissue expression profiles of disease-associated genes Johnson, Simon C. Gonzalez, Brenda Zhang, Quanwei Milholland, Brandon Zhang, Zhengdong Suh, Yousin Hum Genet Original Investigation While mitochondria have been linked to many human diseases through genetic association and functional studies, the precise role of mitochondria in specific pathologies, such as cardiovascular, neurodegenerative, and metabolic diseases, is often unclear. Here, we take advantage of the catalog of human genome-wide associations, whole-genome tissue expression and expression quantitative trait loci datasets, and annotated mitochondrial proteome databases to examine the role of common genetic variation in mitonuclear genes in human disease. Through pathway-based analysis we identified distinct functional pathways and tissue expression profiles associated with each of the major human diseases. Among our most striking findings, we observe that mitonuclear genes associated with cancer are broadly expressed among human tissues and largely represent one functional process, intrinsic apoptosis, while mitonuclear genes associated with other diseases, such as neurodegenerative and metabolic diseases, show tissue-specific expression profiles and are associated with unique functional pathways. These results provide new insight into human diseases using unbiased genome-wide approaches. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00439-016-1736-9) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2016-10-04 2017 /pmc/articles/PMC5214989/ /pubmed/27704213 http://dx.doi.org/10.1007/s00439-016-1736-9 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Investigation
Johnson, Simon C.
Gonzalez, Brenda
Zhang, Quanwei
Milholland, Brandon
Zhang, Zhengdong
Suh, Yousin
Network analysis of mitonuclear GWAS reveals functional networks and tissue expression profiles of disease-associated genes
title Network analysis of mitonuclear GWAS reveals functional networks and tissue expression profiles of disease-associated genes
title_full Network analysis of mitonuclear GWAS reveals functional networks and tissue expression profiles of disease-associated genes
title_fullStr Network analysis of mitonuclear GWAS reveals functional networks and tissue expression profiles of disease-associated genes
title_full_unstemmed Network analysis of mitonuclear GWAS reveals functional networks and tissue expression profiles of disease-associated genes
title_short Network analysis of mitonuclear GWAS reveals functional networks and tissue expression profiles of disease-associated genes
title_sort network analysis of mitonuclear gwas reveals functional networks and tissue expression profiles of disease-associated genes
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5214989/
https://www.ncbi.nlm.nih.gov/pubmed/27704213
http://dx.doi.org/10.1007/s00439-016-1736-9
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