Abstract

We have an established program of research on genetic susceptibility in relation to disease risk. We have focused on DNA repair gene polymorphisms as we try to understand the risks and phenotypic consequences of the DNA repair gene polymorphisms that are being discovered by the NIEHS Environmental Genome Project. The large number of DNA repair genes (>200), coupled with the large number of polymorphisms (averaging >85 per gene) presents a problem given that we have little or no information about the functional consequences of the polymorphisms, and do not yet have the technology to cheaply genotype thousands of polymorphisms in case-control studies. We are taking two approaches to simplify this problem: 1) we are working to describe gene haplotypes (the specific combination of variant alleles) for DNA repair and other genes and 2) In order to find repair genotype-phenotype associations we are using single cell gel electrophoresis (the Comet assay) to measure rates of DNA repair phenotype in cells from a large sample of people where we have complete genotype information.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Environmental Health Sciences (NIEHS)
Type
Intramural Research (Z01)
Project #
1Z01ES049033-10
Application #
7327775
Study Section
Epidemiology and Biometry Training Committee (EB)
Project Start
Project End
Budget Start
Budget End
Support Year
10
Fiscal Year
2006
Total Cost
Indirect Cost

  Institution

Name
U.S. National Inst of Environ Hlth Scis
Department
Type
DUNS #
City
State
Country
United States
Zip Code

  Publications

Lu, Yingchang; Beeghly-Fadiel, Alicia; Wu, Lang et al. (2018) A Transcriptome-Wide Association Study Among 97,898 Women to Identify Candidate Susceptibility Genes for Epithelial Ovarian Cancer Risk. Cancer Res 78:5419-5430
Xu, Zongli; Langie, Sabine A S; De Boever, Patrick et al. (2017) RELIC: a novel dye-bias correction method for Illumina Methylation BeadChip. BMC Genomics 18:4
Wilson, L E; Harlid, S; Xu, Z et al. (2017) An epigenome-wide study of body mass index and DNA methylation in blood using participants from the Sister Study cohort. Int J Obes (Lond) 41:194-199
Xu, Zongli; Taylor, Jack A; Leung, Yuet-Kin et al. (2016) oxBS-MLE: an efficient method to estimate 5-methylcytosine and 5-hydroxymethylcytosine in paired bisulfite and oxidative bisulfite treated DNA. Bioinformatics 32:3667-3669
Wilson, Lauren E; D'Aloisio, Aimee A; Sandler, Dale P et al. (2016) Long-term use of calcium channel blocking drugs and breast cancer risk in a prospective cohort of US and Puerto Rican women. Breast Cancer Res 18:61
Niu, Liang; Xu, Zongli; Taylor, Jack A (2016) RCP: a novel probe design bias correction method for Illumina Methylation BeadChip. Bioinformatics 32:2659-63
Xu, Zongli; Niu, Liang; Li, Leping et al. (2016) ENmix: a novel background correction method for Illumina HumanMethylation450 BeadChip. Nucleic Acids Res 44:e20
Wilson, Lauren E; Kim, Sangmi; Xu, Zongli et al. (2015) Non-Steroidal Anti-Inflammatory Drug Use and Genomic DNA Methylation in Blood. PLoS One 10:e0138920
Bensen, Jeannette T; Xu, Zongli; McKeigue, Paul M et al. (2014) Admixture mapping of prostate cancer in African Americans participating in the North Carolina-Louisiana Prostate Cancer Project (PCaP). Prostate 74:1-9
Harlid, Sophia; Xu, Zongli; Panduri, Vijayalakshmi et al. (2014) CpG sites associated with cigarette smoking: analysis of epigenome-wide data from the Sister Study. Environ Health Perspect 122:673-8

Showing the most recent 10 out of 40 publications