A survey of genetic human cortical gene expression View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2007-12

AUTHORS

Amanda J Myers, J Raphael Gibbs, Jennifer A Webster, Kristen Rohrer, Alice Zhao, Lauren Marlowe, Mona Kaleem, Doris Leung, Leslie Bryden, Priti Nath, Victoria L Zismann, Keta Joshipura, Matthew J Huentelman, Diane Hu-Lince, Keith D Coon, David W Craig, John V Pearson, Peter Holmans, Christopher B Heward, Eric M Reiman, Dietrich Stephan, John Hardy

ABSTRACT

It is widely assumed that genetic differences in gene expression underpin much of the difference among individuals and many of the quantitative traits of interest to geneticists. Despite this, there has been little work on genetic variability in human gene expression and almost none in the human brain, because tools for assessing this genetic variability have not been available. Now, with whole-genome SNP genotyping arrays and whole-transcriptome expression arrays, such experiments have become feasible. We have carried out whole-genome genotyping and expression analysis on a series of 193 neuropathologically normal human brain samples using the Affymetrix GeneChip Human Mapping 500K Array Set and Illumina HumanRefseq-8 Expression BeadChip platforms. Here we present data showing that 58% of the transcriptome is cortically expressed in at least 5% of our samples and that of these cortically expressed transcripts, 21% have expression profiles that correlate with their genotype. These genetic-expression effects should be useful in determining the underlying biology of associations with common diseases of the human brain and in guiding the analysis of the genomic regions involved in the control of normal gene expression. More... »

PAGES

1494-1499

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/ng.2007.16

DOI

http://dx.doi.org/10.1038/ng.2007.16

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1025940200

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/17982457


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