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Published on: July 4, 2007
Cancer genetics, precision prevention and a call to action
Clare Turnbull1,2,3,4, Amit Sud5, Richard S Houlston5
1Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK. clare.turnbull@icr.ac.uk.
Identifying carriers of first-wave cancer susceptibility genes (BRCA1, BRCA2, MLH1, MSH2) offers the most impactful approach for cancer control. National population-testing programs are proposed to identify these high-impact mutation carriers for precision prevention.
Area of Science:
- Genetics
- Oncology
- Genomic Medicine
Background:
- First-wave cancer susceptibility genes (e.g., BRCA1, BRCA2) identified via linkage have strong frequency-penetrance profiles.
- Second-wave genes (e.g., PALB2, ATM) identified through mutation screening have weaker profiles, complicating clinical application.
- Exome sequencing has revealed a polygenic architecture for common cancers, hindering 'next-wave' gene discovery.
Purpose of the Study:
- To evaluate the clinical utility and impact of different classes of cancer susceptibility genes.
- To propose a strategy for optimizing cancer control through genetic screening.
- To advocate for the implementation of national population-testing programs for high-impact gene mutations.
Main Methods:
- Review of genetic identification strategies for cancer susceptibility genes (linkage analysis, mutation screening, exome sequencing).
- Analysis of frequency-penetrance profiles to assess clinical utility.
- Evaluation of the 'genetic economics' of gene discovery and clinical impact.
Main Results:
- First-wave genes demonstrate significant clinical utility due to strong frequency-penetrance profiles.
- Second-wave and polygenic architectures present challenges for clinical application and gene discovery.
- Focused identification of first-wave gene mutation carriers is deemed most impactful for cancer control.
Conclusions:
- National population-testing programs for first-wave gene mutation carriers are recommended for precision cancer prevention.
- Long-term, large-scale studies with longitudinal data are necessary for comprehensive precision prevention.
- Prioritizing high-impact genetic targets is crucial for effective cancer management strategies.
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