Microarray Technology to Study the Role of Genetic Polymorphisms in Breast Cancer Risk

Abstract

Several studies have suggested an association between low penetrant alleles and breast cancer risk. Although the contribution of low penetrant alleles to the individual risk is relatively small, they can contribute to a large proportion of breast cancer cases in the population. In this study we took the candidate gene approach to study the association of 21 different genetic polymorphisms with breast cancer risk in a population-based sample using a high-throughput genotyping technology. To date, we have established and validated the genotyping methods. We have completed genotyping 398 cases and 372 population controls for 21 SNPs from several cancer-related molecular pathways. Initial statistical analysis of the cases and controls has shown that XPD cod751 polymorphism is significantly associated with breast cancer risk. Further analysis of the cases has shown that SNPs of ER, XPD, COMT and p27 genes were significantly associated with breast cancer risk in breast cancer cases with at least a first-degree relative of breast cancer. Statistical analysis to investigate the gene-gene and gene-environmental interactions of the SNPs is currently ongoing. This project has the potential to identify breast cancer susceptibility variants in the context of interaction with other genetic or epidemiological risk factors.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2003
Accession Number
ADA418133

Entities

People

  • Hilmi Ozcelik

Organizations

  • Mount Sinai Hospital, Toronto

Tags

DTIC Thesaurus Topics

  • Biomedical Research
  • Breast Cancer
  • Cancer
  • Cell Physiological Processes
  • Data Science
  • Detection
  • Genes
  • Genetic Phenomena
  • Genetic Variation
  • Genetics
  • Genotypes
  • Health Services
  • Immune System
  • Information Science
  • Neoplasms
  • Quality Control
  • Statistical Analysis

Fields of Study

  • Biology

Readers

  • Molecular and genetic basis of cancer.

Technology Areas

  • Biotechnology