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Estimating heritability for cause specific mortality based on twin studies

机译:根据双胞胎研究估计特定原因死亡率的遗传力

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There has been considerable interest in studying the magnitude and type of inheritance of specific diseases. This is typically derived from family or twin studies, where the basic idea is to compare the correlation for different pairs that share different amount of genes. We here consider data from the Danish twin registry and discuss how to define heritability for cancer occurrence. The key point is that this should be done taking censoring as well as competing risks due to e.g. death into account. We describe the dependence between twins on the probability scale and show that various models can be used to achieve sensible estimates of the dependence within monozy-gotic and dizygotic twin pairs that may vary over time. These dependence measures can subsequently be decomposed into a genetic and environmental component using random effects models. We here present several novel models that in essence describe the association in terms of the concordance probability, i.e., the probability that both twins experience the event, in the competing risks setting. We also discuss how to deal with the left truncation present in the Nordic twin registries, due to sampling only of twin pairs where both twins are alive at the initiation of the registries.
机译:研究特定疾病的遗传程度和类型引起了人们极大的兴趣。这通常来自家庭或双胞胎研究,其基本思想是比较共享不同数量基因的不同对的相关性。我们在这里考虑来自丹麦双生子注册表的数据,并讨论如何定义癌症发生的遗传力。关键点是,这应该在进行审查的同时考虑到竞争风险,例如死亡考虑在内。我们在概率尺度上描述了双胞胎之间的依赖关系,并表明可以使用各种模型来实现对单卵双胎和双卵双胞胎对中随时间变化的依赖性的合理估计。随后可以使用随机效应模型将这些依赖性措施分解为遗传和环境成分。在这里,我们提供了几种新颖的模型,这些模型从本质上用一致性概率(即在竞争风险设置中两个双胞胎都经历了该事件的概率)描述了关联。我们还讨论了如何处理北欧双生子注册中心中的左截断,这是由于仅对双生子进行了采样,而在注册开始时两个双胞胎都还活着。

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