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The Impact of Multifactorial Genetic Disorders on Critical Illness Insurance: A Simulation Study Based on UK Biobank

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  • Macdonald, Angus
  • Pritchard, Delme
  • Tapadar, Pradip

Abstract

The UK Biobank project is a proposed large-scale investigation of the combined effects of genotype and environmental exposures on the risk of common diseases. It is intended to recruit 500,000 subjects aged 40-69, to obtain medical histories and blood samples at outset, and to follow them up for at least 10 years. This will have a major impact on our knowledge of multifactorial genetic disorders, rather than the rare but severe single-gene disorders that have been studied to date. What use may insurance companies make of this knowledge, particularly if genetic tests can identify persons at different risk? We describe here a simulation study of the UK Biobank project. We specify a simple hypothetical model of genetic and environmental influences on the risk of heart attack. A single simulation of UK Biobank consists of 500,000 life histories over 10 years; we suppose that case-control studies are carried out to estimate age-specific odds ratios, and that an actuary uses these odds ratios to parameterise a model of critical illness insurance. From a large number of such simulations we obtain sampling distributions of premium rates in different strata defined by genotype and environmental exposure. We conclude that the ability of such a study reliably to discriminate between different underwriting classes is limited, and depends on large numbers of cases being analysed.

Suggested Citation

  • Macdonald, Angus & Pritchard, Delme & Tapadar, Pradip, 2006. "The Impact of Multifactorial Genetic Disorders on Critical Illness Insurance: A Simulation Study Based on UK Biobank," ASTIN Bulletin, Cambridge University Press, vol. 36(2), pages 311-346, November.
  • Handle: RePEc:cup:astinb:v:36:y:2006:i:02:p:311-346_01
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    1. Angus Macdonald & Pradip Tapadar, 2010. "Multifactorial Genetic Disorders and Adverse Selection: Epidemiology Meets Economics," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 77(1), pages 155-182, March.

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