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Connecting myelin-related and synaptic dysfunction in schizophrenia with SNP-rich gene expression hubs
H. Hegyi,
Language English Country England, Great Britain
Document type Journal Article, Research Support, Non-U.S. Gov't
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PubMed
28382934
DOI
10.1038/srep45494
Knihovny.cz E-resources
- MeSH
- Extracellular Matrix Proteins genetics metabolism MeSH
- Genetic Loci MeSH
- Gene Regulatory Networks genetics MeSH
- Polymorphism, Single Nucleotide * MeSH
- Humans MeSH
- DNA Methylation MeSH
- Brain metabolism MeSH
- Myelin Proteins genetics metabolism MeSH
- Promoter Regions, Genetic MeSH
- Schizophrenia genetics pathology MeSH
- Synapses metabolism MeSH
- Synaptogyrins genetics metabolism MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
Combining genome-wide mapping of SNP-rich regions in schizophrenics and gene expression data in all brain compartments across the human life span revealed that genes with promoters most frequently mutated in schizophrenia are expression hubs interacting with far more genes than the rest of the genome. We summed up the differentially methylated "expression neighbors" of genes that fall into one of 108 distinct schizophrenia-associated loci with high number of SNPs. Surprisingly, the number of expression neighbors of the genes in these loci were 35 times higher for the positively correlating genes (32 times higher for the negatively correlating ones) than for the rest of the ~16000 genes. While the genes in the 108 loci have little known impact in schizophrenia, we identified many more known schizophrenia-related important genes with a high degree of connectedness (e.g. MOBP, SYNGR1 and DGCR6), validating our approach. Both the most connected positive and negative hubs affected synapse-related genes the most, supporting the synaptic origin of schizophrenia. At least half of the top genes in both the correlating and anti-correlating categories are cancer-related, including oncogenes (RRAS and ALDOA), providing further insight into the observed inverse relationship between the two diseases.
References provided by Crossref.org
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