title: Genetic mixed linear models for twin survival data.
abstract: Twin studies are useful for assessing the relative importance of genetic or heritable component from the environmental component. In this paper we develop a methodology to study the heritability of age-at-onset or lifespan traits, with application to analysis of twin survival data. Due to limited period of observation, the data can be left truncated and right censored (LTRC). Under the LTRC setting we propose a genetic mixed linear model, which allows general fixed predictors and random components to capture genetic and environmental effects. Inferences are based upon the hierarchical-likelihood (h-likelihood), which provides a statistically efficient and unified framework for various mixed-effect models. We also propose a simple and fast computation method for dealing with large data sets. The method is illustrated by the survival data from the Swedish Twin Registry. Finally, a simulation study is carried out to evaluate its performance.
authors.affiliation: Department of Asset Management, Daegu Haany University, Gyeongsan 712-715, Korea. idha@dhu.ac.k.
authors.forename: Il Do
authors.initials: ID
authors.lastname: Ha
authors.forename: Youngjo
authors.initials: Y
authors.lastname: Lee
authors.forename: Yudi
authors.initials: Y
authors.lastname: Pawitan
mesh_terms: D017668:Age of Onset; D004777:Environment; D005260:Female; D006801:Humans; D008017:Life Expectancy; D016013:Likelihood Functions; D008297:Male; D008957:Models, Genetic; D015233:Models, Statistical; D012042:Registries; D016019:Survival Analysis; D013548:Sweden; D014427:Twins / Q000235:genetics*