A survey of genetic human cortical gene expression

被引:0
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作者
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
机构
[1] Laboratory of Neurogenetics,Department of Psychiatry and Behavioral Sciences, Division of Neuroscience
[2] National Institute on Aging,Reta Lila Weston Institute and Departments of Molecular Neuroscience and Neurodegenerative Disease
[3] Porter Neuroscience Building,Neurogenomics Division
[4] National Institutes of Health Main Campus,Division of Thoracic Oncology Research
[5] Miller School of Medicine,Department of Psychological Medicine
[6] University of Miami,undefined
[7] Institute of Neurology,undefined
[8] Queen Square,undefined
[9] Translational Genomics Research Institute,undefined
[10] Arizona Alzheimer's Consortium,undefined
[11] St. Joseph's Hospital and Medical Center,undefined
[12] Biostatistics and Bioinformatics Unit,undefined
[13] Cardiff University,undefined
[14] Kronos Science Laboratory,undefined
[15] Banner Alzheimer's Institute,undefined
来源
Nature Genetics | 2007年 / 39卷
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摘要
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.
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页码:1494 / 1499
页数:5
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