Breast Cancer Susceptibility Genes in High Risk Women

Abstract

A positive family history, present in about 30% of breast cancer cases, has been shown to double a woman's risk of breast cancer. The genetic factors responsible are largely unknown, although the relatively high penetrant genes BRCA1/2 may account for 3%. Genes of lower penetrance may also affect breast cancer risk, and a likely group of such genes are those that regulate the production, intracellular transport, and metabolism of estrogen. Previous studies of these susceptibility genes have not been conducted with women with high familial risk. This study included identical twins with differing genetic risks (i.e. concordant for breast cancer pairs vs. discordant pairs) as well as unaffected controls. DNA samples were obtained from 136 concordant pairs, 152 discordant pairs and 137 controls. DNA has been extracted and stored for conducting additional genetic testing using these samples. A total of 368 single nucleotide polymorphisms (SNPs) have been assayed along 16 genes using the Illumina System. The genes included AIB1, COMT, COX2, CYP17, CYP19, CYP1A1, CYP3A4, ESR1, ESR2, GPR54 ,GSTP1, IGF1, IGFBP3, P160, and PR. The SNPs selected were haplotype tagging SNPs that were selected to cover the variation across the entire length of each of the genes. Genes preliminarily showing the most indication of being involved with breast cancer susceptibility included HSD17B1, CYP1A1, GSTP1, AIB1, P160 and COX2. The project has generated a wealth of data that will require further analysis to understand the significance of these results and has created a valuable resource for additional testing of newly identified SNPs.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2005
Accession Number
ADA457712

Entities

People

  • Ann S Hamilton

Organizations

  • University of Southern California

Tags

DTIC Thesaurus Topics

  • Biomedical Research
  • Breast Cancer
  • California
  • Cancer
  • Department Of Defense
  • Diseases And Disorders
  • Estrogens
  • Genes
  • Genetic Testing
  • Genetic Variation
  • Genetics
  • Genomics
  • Genotypes
  • Hormones
  • Metabolism
  • Neoplasms
  • Risk Factors

Readers

  • Molecular and genetic basis of cancer.
  • Oncology and Biomarker-Based Cancer Detection.
  • Women's Health and Cancer Risk Research: African American Women and Pregnancy Outcomes.

Technology Areas

  • Biotechnology