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

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          Abstract

          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.

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          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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          Most cited references22

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          Gene Ontology: tool for the unification of biology

          Genomic sequencing has made it clear that a large fraction of the genes specifying the core biological functions are shared by all eukaryotes. Knowledge of the biological role of such shared proteins in one organism can often be transferred to other organisms. The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing. To this end, three independent ontologies accessible on the World-Wide Web (http://www.geneontology.org) are being constructed: biological process, molecular function and cellular component.
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            The mitochondrial genome: structure, transcription, translation and replication.

            J Taanman (1999)
            Mitochondria play a central role in cellular energy provision. The organelles contain their own genome with a modified genetic code. The mammalian mitochondrial genome is transmitted exclusively through the female germ line. The human mitochondrial DNA (mtDNA) is a double-stranded, circular molecule of 16569 bp and contains 37 genes coding for two rRNAs, 22 tRNAs and 13 polypeptides. The mtDNA-encoded polypeptides are all subunits of enzyme complexes of the oxidative phosphorylation system. Mitochondria are not self-supporting entities but rely heavily for their functions on imported nuclear gene products. The basic mechanisms of mitochondrial gene expression have been solved. Cis-acting mtDNA sequences have been characterised by sequence comparisons, mapping studies and mutation analysis both in vitro and in patients harbouring mtDNA mutations. Characterisation of trans-acting factors has proven more difficult but several key enzymes involved in mtDNA replication, transcription and protein synthesis have now been biochemically identified and some have been cloned. These studies revealed that, although some factors may have an additional function elsewhere in the cell, most are unique to mitochondria. It is expected that cell cultures of patients with mitochondrial diseases will increasingly be used to address fundamental questions about mtDNA expression.
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              The Genotype-Tissue Expression (GTEx) Project.

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                Author and article information

                Contributors
                718-678-1112 , Simon.johnson@einstein.yu.edu
                718-678-1111 , Yousin.suh@einstein.yu.edu
                Journal
                Hum Genet
                Hum. Genet
                Human Genetics
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                0340-6717
                1432-1203
                4 October 2016
                4 October 2016
                2017
                : 136
                : 1
                : 55-65
                Affiliations
                [1 ]Department of Genetics, Albert Einstein College of Medicine, Bronx, NY USA
                [2 ]Department of Ophthalmology and Visual Sciences, Albert Einstein College of Medicine, Bronx, NY USA
                [3 ]Department of Medicine, Endocrinology, Albert Einstein College of Medicine, Bronx, NY USA
                Article
                1736
                10.1007/s00439-016-1736-9
                5214989
                27704213
                cba226f6-9be3-4ea4-aff1-ee7edf3a2cf2
                © 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.

                History
                : 12 July 2016
                : 28 September 2016
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000049, National Institute on Aging;
                Award ID: AG050444-02
                Award ID: 6T32AG023475-13
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000965, American Federation for Aging Research;
                Award ID: Post-doctoral Fellowship
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: AG017242
                Award ID: GM104459
                Award ID: CA180126
                Award Recipient :
                Categories
                Original Investigation
                Custom metadata
                © Springer-Verlag Berlin Heidelberg 2017

                Genetics
                Genetics

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