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

Simon C. Johnson, Brenda Gonzalez, Quanwei Zhang, Brandon Milholland, Zhengdong Zhang, Yousin Suh

Research output: Contribution to journalArticle

3 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)1-11
Number of pages11
JournalHuman Genetics
DOIs
StateAccepted/In press - Oct 4 2016

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Genome-Wide Association Study
Genes
Metabolic Diseases
Neurodegenerative Diseases
Mitochondria
Genome
Quantitative Trait Loci
Genetic Association Studies
Human Genome
Proteome
Cardiovascular Diseases
Databases
Apoptosis
Pathology
Neoplasms

ASJC Scopus subject areas

  • Genetics
  • Genetics(clinical)

Cite this

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.

In: Human Genetics, 04.10.2016, p. 1-11.

Research output: Contribution to journalArticle

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