Epigenetic information involves any alteration that does not cause DNA sequence changes. Common epigenetic alterations include DNA methylation and post-translational modifications of histones. Genomic imprinting and X chromosome inactivation are special cases of epigenetic phenomena in which epigenetic modifications differ between the two parental chromosomes, leading to a preferential expression of one parental allele. To study allelic gene expression globally, we reengineered the assay and analysis of the Affymetrix HuSNP chip so that it measures allele-specific transcript variation. We observed gene expression differences between the two chromosomes within the same individual. The relative expression of specific alleles, however, varied between individuals suggesting a dependence on genomic context. We have observed differences due to haplotypes, chromatin features, and methylation status. These studies from our lab have established that allelic variation in gene expression is common throughout the human genome. In addition our studies suggest that global epigenetic regulation may segregate as a complex trait.To map and identify genes that control epigenetic regulation, we perform genome-wide experiments on gene expression, chromatin immunoprecipitation (ChIP), and DNA methylation using samples from the HapMap project. The genotype and linkage disequilibrium (LD) resource from the HapMap project should expedite our effort to obtain a complete description for the genetic and epigenetic regulatory networks of gene expression.

Agency
National Institute of Health (NIH)
Institute
Division of Cancer Epidemiology And Genetics (NCI)
Type
Intramural Research (Z01)
Project #
1Z01CP010154-07
Application #
7330809
Study Section
(LPG)
Project Start
Project End
Budget Start
Budget End
Support Year
7
Fiscal Year
2006
Total Cost
Indirect Cost
Name
Cancer Epidemiology and Genetics
Department
Type
DUNS #
City
State
Country
United States
Zip Code
Hu, Nan; Kadota, Mitsutaka; Liu, Huaitian et al. (2016) Genomic Landscape of Somatic Alterations in Esophageal Squamous Cell Carcinoma and Gastric Cancer. Cancer Res 76:1714-23
Hu, Nan; Wang, Chaoyu; Ng, David et al. (2009) Genomic characterization of esophageal squamous cell carcinoma from a high-risk population in China. Cancer Res 69:5908-17
Kadota, Mitsutaka; Sato, Misako; Duncan, Beverly et al. (2009) Identification of novel gene amplifications in breast cancer and coexistence of gene amplification with an activating mutation of PIK3CA. Cancer Res 69:7357-65
Yang, Howard H; Hu, Nan; Taylor, Philip R et al. (2008) Whole genome-wide association study using affymetrix SNP chip: a two-stage sequential selection method to identify genes that increase the risk of developing complex diseases. Methods Mol Med 141:23-35
Lee, Maxwell P; Dunn, Barbara K (2008) Influence of genetic inheritance on global epigenetic states and cancer risk prediction with DNA methylation signature: challenges in technology and data analysis. Nutr Rev 66 Suppl 1:S69-72
Ng, David; Hu, Nan; Hu, Ying et al. (2008) Replication of a genome-wide case-control study of esophageal squamous cell carcinoma. Int J Cancer 123:1610-5
Hu, Nan; Wang, Chaoyu; Hu, Ying et al. (2005) Genome-wide association study in esophageal cancer using GeneChip mapping 10K array. Cancer Res 65:2542-6
Lin, Wei; Yang, Howard H; Lee, Maxwell P (2005) Allelic variation in gene expression identified through computational analysis of the dbEST database. Genomics 86:518-27
Lee, Maxwell P; Howcroft, Kevin; Kotekar, Aparna et al. (2005) ATG deserts define a novel core promoter subclass. Genome Res 15:1189-97
Lee, Maxwell P (2005) Genome-wide analysis of allele-specific gene expression using oligo microarrays. Methods Mol Biol 311:39-47

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