title: How heritable is individual susceptibility to death? The results of an analysis of survival data on Danish, Swedish and Finnish twins.
abstract: Molecular epidemiological studies confirm a substantial contribution of individual genes to variability in susceptibility to disease and death for humans. To evaluate the contribution of all genes to susceptibility and to estimate individual survival characteristics, survival data on related individuals (eg twins or other relatives) are needed. Correlated gamma-frailty models of bivariate survival are used in a joint analysis of survival data on more than 31,000 pairs of Danish, Swedish and Finnish male and female twins using the maximum likelihood method. Additive decomposition of frailty into genetic and environmental components is used to estimate heritability in frailty. The estimate of the standard deviation of frailty from the pooled data is about 1.5. The hypothesis that variance in frailty and correlations of frailty for twins are similar in the data from all three countries is accepted. The estimate of narrow-sense heritability in frailty is about 0.5. The age trajectories of individual hazards are evaluated for all three populations of twins and both sexes. The results of our analysis confirm the presence of genetic influences on individual frailty and longevity. They also suggest that the mechanism of these genetic influences may be similar for the three Scandinavian countries. Furthermore, results indicate that the increase in individual hazard with age is more rapid than predicted by traditional demographic life tables.
authors: Department of Statistics and Demography, Odense University, Denmark. i-iachine@win-chs.ou.dk
authors: I A
authors: IA
authors: Iachine
authors: N V
authors: NV
authors: Holm
authors: J R
authors: JR
authors: Harris
authors: A Z
authors: AZ
authors: Begun
authors: M K
authors: MK
authors: Iachina
authors: M
authors: M
authors: Laitinen
authors: J
authors: J
authors: Kaprio
authors: A I
authors: AI
authors: Yashin
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D003643:Death; D003718:Denmark; D004198:Disease Susceptibility; D004777:Environment; D005260:Female; D005387:Finland; D005544:Forecasting; D020022:Genetic Predisposition to Disease; D006262:Health; D006801:Humans; D015993:Life Tables; D016013:Likelihood Functions; D008136:Longevity / Q000235:genetics; D008297:Male; D008875:Middle Aged; D008957:Models, Genetic; D017720:Molecular Epidemiology; D012737:Sex Factors; D016019:Survival Analysis; D013548:Sweden; D014427:Twins / Q000235:genetics*