OBJECTIVE: We aimed to investigate the influence of the genetic variability of candidate genes on survival at old age in good health. METHODS: First, on the basis of a synthetic survival curve constructed using historic mortality data taken from the Italian population from 1890 onward, we defined three age classes ranging from 18 to 106 years. Second, we assembled a multinomial logistic regression model to evaluate the effect of dichotomous variables (genotypes) on the probability to be assigned to a specific category (age class). Third, we applied the regression model to a cross-sectional dataset (10 genes; 972 subjects selected for healthy status) categorized according to age and sex. RESULTS: We found that genetic factors influence survival at advanced age in good health in a sex- and age-specific way. Furthermore, we found that genetic variability plays a stronger role in males than in females and that, in both genders, its impact is especially important at very old ages. CONCLUSIONS: The analyses presented here underline the age-specific effect of the gene network in modulating survival at advanced age in good health.
OBJECTIVE: We aimed to investigate the influence of the genetic variability of candidate genes on survival at old age in good health. METHODS: First, on the basis of a synthetic survival curve constructed using historic mortality data taken from the Italian population from 1890 onward, we defined three age classes ranging from 18 to 106 years. Second, we assembled a multinomial logistic regression model to evaluate the effect of dichotomous variables (genotypes) on the probability to be assigned to a specific category (age class). Third, we applied the regression model to a cross-sectional dataset (10 genes; 972 subjects selected for healthy status) categorized according to age and sex. RESULTS: We found that genetic factors influence survival at advanced age in good health in a sex- and age-specific way. Furthermore, we found that genetic variability plays a stronger role in males than in females and that, in both genders, its impact is especially important at very old ages. CONCLUSIONS: The analyses presented here underline the age-specific effect of the gene network in modulating survival at advanced age in good health.
Authors: Alberto Montesanto; Vincenzo Lagani; Cinzia Martino; Serena Dato; Francesco De Rango; Maurizio Berardelli; Andrea Corsonello; Bruno Mazzei; Vincenzo Mari; Fabrizia Lattanzio; Domenico Conforti; Giuseppe Passarino Journal: Age (Dordr) Date: 2010-03-06
Authors: Maria De Luca; Paolina Crocco; Howard Wiener; Hemant K Tiwari; Giuseppe Passarino; Giuseppina Rose Journal: Exp Gerontol Date: 2010-10-14 Impact factor: 4.032
Authors: Fausta Di Cianni; Daniele Campa; Federica Tallaro; Cosmeri Rizzato; Francesco De Rango; Roberto Barale; Giuseppe Passarino; Federico Canzian; Federica Gemignani; Alberto Montesanto; Stefano Landi; Giuseppina Rose Journal: Age (Dordr) Date: 2012-05-11
Authors: Giuseppina Rose; Paolina Crocco; Francesco De Rango; Alberto Montesanto; Giuseppe Passarino Journal: PLoS One Date: 2011-12-27 Impact factor: 3.240