Genetic variability in the regulation of gene expression in ten regions of the human brain.

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Bibliographic Details
Title: Genetic variability in the regulation of gene expression in ten regions of the human brain.
Authors: 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
Source: Nature Neuroscience. Oct2014, Vol. 17 Issue 10, p1418-1428. 11p.
Subjects: Brain, Gene expression, Genes, Genomes, Exons (Genetics)
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. [ABSTRACT FROM AUTHOR]
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Database: Psychology and Behavioral Sciences Collection
Description
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. [ABSTRACT FROM AUTHOR]
ISSN:10976256
DOI:10.1038/nn.3801