231
Views
1
CrossRef citations to date
0
Altmetric
Articles

The impact of known breast cancer polygenes on critical illness insurance

, &
Pages 141-171 | Accepted 05 Apr 2013, Published online: 10 Jun 2013
 

Abstract

Genetic studies indicate that the inherited risk of breast cancer is mediated by the well-studied major genes BRCA1 and BRCA2, and a polygenic component, probably with many genes each making a small contribution. Recently, seven polygenes have been found contributing an estimated 3.6% of all familial risk. This suggests that the polygenic component may involve well over 100 genetic loci. We extrapolate these new results into a polygenic model with 147 genetic loci and simulate lifetimes of families to calculate the premium ratings appropriate for a family history of breast or ovarian cancer. We model the adverse selection costs arising from restricting the use of genetic test information in critical illness insurance underwriting in light of new European legislation banning the use of gender for insurance underwriting. In this setting, we confirm the overall conclusion of a previous study which used a simpler model that the polygene confers higher adverse selection risk than the BRCA genes. We establish that their three-gene polygenic model does not overly inflate the insurance costs attributable to a polygenic component of breast cancer risk under a model with 147 polygenes.

Acknowledgments

This work was carried out at the Genetics and Insurance Research Centre at Heriot-Watt University. We would like to thank the sponsors for funding, and members of the Steering Committee for helpful comments at various stages. We are grateful to the Continuous Mortality Investigation for providing funding. We would also like to thank Dr. Kenneth McIvor for his help in reconciling our respective models.

Notes

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 147.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.