A survey of genetic human cortical gene expression.
Title | A survey of genetic human cortical gene expression. |
Publication Type | Journal Article |
Year of Publication | 2007 |
Authors | Myers, AJ, J Gibbs, R, Webster, JA, Rohrer, K, Zhao, A, Marlowe, L, Kaleem, M, Leung, D, Bryden, L, Nath, P, Zismann, VL, Joshipura, K, Huentelman, MJ, Hu-Lince, D, Coon, KD, Craig, DW, Pearson, JV, Holmans, P, Heward, CB, Reiman, EM, Stephan, D, Hardy, J |
Journal | Nat Genet |
Volume | 39 |
Issue | 12 |
Pagination | 1494-9 |
Date Published | 2007 Dec |
ISSN | 1546-1718 |
Keywords | Aged, Aged, 80 and over, Cerebral Cortex, Gene Expression Profiling, Genetic Variation, Humans, Oligonucleotide Array Sequence Analysis, Polymorphism, Single Nucleotide |
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. |
DOI | 10.1038/ng.2007.16 |
Alternate Journal | Nat. Genet. |
PubMed ID | 17982457 |
Grant List | P50-AG08671 / AG / NIA NIH HHS / United States MH60451 / MH / NIMH NIH HHS / United States UO1HL084744 / HL / NHLBI NIH HHS / United States P50 AG05136 / AG / NIA NIH HHS / United States AG05146 / AG / NIA NIH HHS / United States P50 AG16570 / AG / NIA NIH HHS / United States U24NS051872 / NS / NINDS NIH HHS / United States G0701075 / / Medical Research Council / United Kingdom AG05128 / AG / NIA NIH HHS / United States U01 AG016976 / AG / NIA NIH HHS / United States NS39764 / NS / NINDS NIH HHS / United States AG05144 / AG / NIA NIH HHS / United States AG10161 / AG / NIA NIH HHS / United States P30 AG19610 / AG / NIA NIH HHS / United States P30-AG13846 / AG / NIA NIH HHS / United States P50AG05681 / AG / NIA NIH HHS / United States G9810900 / / Medical Research Council / United Kingdom |