Genetics and Insurance

A. MacDonald
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引用次数: 15

Abstract

Most actuarial modeling has concentrated on single-gene disorders, because it necessarily relies on genetic epidemiology to parameterize any models, and that is where the epidemiology is most advanced. We can identify two broad approaches. A top-down approach treats whole classes of genetic disorder as if they were homogeneous. This avoids the need to model individual disorders in detail, which in the case of multifactorial disorders may be impossible just now anyway. If, under extremely adverse assumptions, either extra premiums or the costs of adverse selection are small, this is a useful general conclusion; see for examples. In the long run, this approach is limited. A bottom-up approach involves detailed modeling of individual disorders, and estimating the overall premium increases or costs of adverse selection by aggregation. Examples include models of breast cancer and ovarian cancer, Huntington's Disease, early-onset Alzheimer's Disease, adult polycystic kidney disease and Alzheimer's Disease. Keywords: adverse selection; discrimination; critical illness insurance; genetics; insurance law; life insurance; underwriting
遗传学与保险
大多数精算建模都集中在单基因疾病上,因为它必须依赖于遗传流行病学来参数化任何模型,而这正是流行病学最先进的地方。我们可以确定两种广泛的方法。自上而下的方法对待所有类型的遗传疾病,就好像它们是同质的一样。这就避免了对个体疾病进行详细建模的需要,而在多因素疾病的情况下,这在目前可能是不可能的。如果在极端不利的假设下,额外的溢价或逆向选择的成本很小,这是一个有用的一般性结论;参见示例。从长远来看,这种方法是有限的。自下而上的方法包括对个体疾病的详细建模,并通过汇总估计逆向选择的总体保费增加或成本。例子包括乳腺癌和卵巢癌、亨廷顿氏病、早发性阿尔茨海默病、成人多囊肾病和阿尔茨海默病的模型。关键词:逆向选择;歧视;重大疾病保险;遗传学;保险法;人寿保险;承销
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