Human Molecular Genetics Advance Access originally published online on September 30, 2003
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Human Molecular Genetics, 2003, Vol. 12, No. 22 2881-2893
DOI: 10.1093/hmg/ddg326
© 2003 Oxford University Press
Gene expression variation in the adult human retina
1Wilmer Eye Institute, 2Department of Neuroscience and 3Department of Molecular Biology and Genetics, and the McKusickNathans Institute of Genetic Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA, 4Department of Biostatistics, Johns Hopkins University School of Public Health, Baltimore, Maryland, USA, 5Sidney Kimmel Comprehensive Cancer Center and 6Department of Ophthalmology, University of Maryland, Baltimore, Maryland, USA
Received June 4, 2003; Accepted September 18, 2003
Despite evidence that differences in gene expression levels contribute significantly to phenotypic variation across individuals, there has been only limited effort to study gene expression variation in human tissue. To characterize expression variation in the normal human retina, we utilized a custom retinal microarray to analyze 33 normal retinas from 19 donors, aged 2990 years. Statistical models were designed to separate and quantify biological and technical sources of variation, including age, gender, eye laterality, gene function and age-by-gender interaction. Although the majority of the 9406 genes analyzed showed relatively stable expression levels across different donors (for an average gene the expression level value of 95 out of a 100 individuals fell within a 1.23-fold range), 2.6% of genes showed significant donor-to-donor variation, with a false discovery rate of 10%. The mean expression ratio standard deviation was 0.15±0.8, log2, with a range of 0.090.99. Genes selectively expressed in photoreceptors showed higher expression variation than other gene classes. Gender, age and other donor-specific factors contributed significantly to the expression variation of multiple genes, and groups of genes with an age- and gender-associated expression pattern were identified. Our findings show that a significant fraction of gene expression variation in the normal human retina is attributable to identifiable biological factors. The greater expression variability of many genes central to retinal function (including photoreceptor-specific genes) may be partially explained by the dynamics of the vision process, and raises the possibility that photoreceptor gene expression levels may contribute to phenotypic diversity across normal adult retinas. In addition, as such diversity may result in different levels of disease susceptibility, exploring its sources may provide insights into the pathogenesis of retinal disease.
* To whom correspondence should be addressed at: 809 Maumenee Bldg, Johns Hopkins University School of Medicine, 600 N. Wolfe Street, Baltimore, MD 21287, USA. Tel: +1 4105025230; Fax: +1 4105025382; Email: dzack{at}bs.jhmi.edu
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