Genetic analysis of durations: correlated frailty model applied to survival of Danish twins.
Population studies of changes in human morbidity and mortality require models which take into account the influence of genetic and environmental factors on life-related durations, such as age at onset of the disease or disability, age at death, etc. In this paper we show how a bivariate survival model based on the concept of correlated individual frailty can be used for the genetic analysis of durations. Six genetic models of frailty are considered and applied to Danish twin survival data. The results of statistical analysis allow us to conclude that at least 50% of variability in individual frailty is determined by environmental factors. The approach suggests a method of estimation of the lower bound for the biological limit of human longevity. Directions for further research are discussed.
Yashin
A I
AI
Odense University, Medical School, CHS, Denmark.
Iachine
I A
IA
D000328:Adult; D003718:Denmark / Q000453:epidemiology; D004777:Environment; D005260:Female; D006801:Humans; D008136:Longevity / Q000235:genetics*; D008297:Male; D008957:Models, Genetic; D009017:Morbidity; D009026:Mortality; D012307:Risk Factors; D016019:Survival Analysis; D014427:Twins / Q000235:genetics* / Q000706:statistics & numerical data