Identification, Characterisation and Clinical Development of the New Generation of Breast Cancer Susceptibility Alleles

Abstract

Breast cancer is a common disease in women but the causes are still largely unknown. There is considerable evidence that genetic factors play an important role in causing breast cancer, but the genes involved in the majority of breast cancers are currently unknown. Our aim is to identify genetic factors that increase the risk of breast cancer occurring. We have collected samples and clinical information from over 4000 breast cancer families. We compare the frequency of genetic factors in these cases with control individuals. Over the last year we have been engaged in two complementary strategies. (1) Undertaking genome-wide association analyses to identify common, low-penetrance variants that increase breast cancer risk by a modest amount. Our collaborative endeavours in this area have already led to the identification of several variants and we are currently undertaking the largest study to date that involves 4000 cases and 6000 controls. (2) Candidate gene analysis by sequencing of DNA repair genes for rare, intermediate-penetrance variants. This previously led to our identification of 4 breast cancer genes, CHEK2, ATM, PALB2 and BRIP1. We have also been investigating the interaction between breast cancer genes and have demonstrated a negative interaction between the intermediate-penetrance and high-penetrance genes, presumably because they operate in the same pathways.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2009
Accession Number
ADA536341

Entities

People

  • Nazneen Rahman

Organizations

  • Institute of Cancer Research

Tags

DTIC Thesaurus Topics

  • Breast Cancer
  • Cancer
  • Carcinoma
  • Cell Physiological Processes
  • Cells
  • Diseases And Disorders
  • Frequency
  • Genetic Variation
  • Genetics
  • Hereditary Diseases
  • Metabolic Diseases
  • Neoplasms
  • Ovarian Cancer
  • Prostate Cancer
  • Proteins
  • Rna Stability
  • Skin Diseases

Readers

  • Molecular and genetic basis of cancer.
  • Systems Analysis and Design

Technology Areas

  • Biotechnology