http://www.cnr.it/ontology/cnr/individuo/prodotto/ID313753
Genetic variability in the regulation of gene expression in ten regions of the human brain (Articolo in rivista)
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- Genetic variability in the regulation of gene expression in ten regions of the human brain (Articolo in rivista) (literal)
- Anno
- 2014-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1038/nn.3801 (literal)
- Alternative label
Ramasamy, Adaikalavan; Trabzuni, Daniah; Guelfi, Sebastian; Varghese, Vibin; Smith, Colin; Walker, Robert; De, Tisham; Coin, Lachlan; de Silva, Rohan; Cookson, Mark R.; Singleton, Andrew B.; Hardy, John; Ryten, Mina; Weale, Michael E. (2014)
Genetic variability in the regulation of gene expression in ten regions of the human brain
in Nature neuroscience (Print)
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- Ramasamy, Adaikalavan; Trabzuni, Daniah; Guelfi, Sebastian; Varghese, Vibin; Smith, Colin; Walker, Robert; De, Tisham; Coin, Lachlan; de Silva, Rohan; Cookson, Mark R.; Singleton, Andrew B.; Hardy, John; Ryten, Mina; Weale, Michael E. (literal)
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- ISI Web of Science (WOS) (literal)
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- Guy's & St Thomas' NHS Foundation Trust; University College London; King Faisal Specialist Hospital & Research Center; University of Edinburgh; Imperial College London; University of Queensland; National Institute on Aging (NIA) (literal)
- Titolo
- Genetic variability in the regulation of gene expression in ten regions of the human brain (literal)
- Abstract
- Germ-line genetic control of gene expression occurs via expression quantitative trait loci (eQTLs). We present a large, exon-specific eQTL data set covering ten human brain regions. We found that cis-eQTL signals (within 1 Mb of their target gene) were numerous, and many acted heterogeneously among regions and exons. Co-regulation analysis of shared eQTL signals produced well-defined modules of region-specific co-regulated genes, in contrast to standard coexpression analysis of the same samples. We report cis-eQTL signals for 23.1% of catalogued genome-wide association study hits for adult-onset neurological disorders. The data set is publicly available via public data repositories and via http://www.braineac.org/. Our study increases our understanding of the regulation of gene expression in the human brain and will be of value to others pursuing functional follow-up of disease-associated variants. (literal)
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