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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2016
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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. |
format | Online Article Text |
id | pubmed-5214989 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
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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