Objective: We aimed to investigate the influence of the geneticvariability of candidate genes on survival at old age ingood health. Methods: First, on the basis of a synthetic survivalcurve constructed using historic mortality data takenfrom the Italian population from 1890 onward, we definedthree age classes ranging from 18 to 106 years. Second, weassembled a multinomial logistic regression model to evaluatethe effect of dichotomous variables (genotypes) on theprobability to be assigned to a specific category (age class).Third, we applied the regression model to a cross-sectionaldataset (10 genes; 972 subjects selected for healthy status)categorized according to age and sex. Results: We foundthat genetic factors influence survival at advanced age ingood health in a sex- and age-specific way. Furthermore, wefound that genetic variability plays a stronger role in malesthan in females and that, in both genders, its impact is especiallyimportant at very old ages. Conclusions: The analysespresented here underline the age-specific effect of the genenetwork in modulating survival at advanced age in goodhealth.

Sex- and age-specificity of suceptibility genes modulating survival at old age

PASSARINO G;MONTESANTO, Alberto;DATO, Serena;GIORDANO, Sabrina;DOMMA F;
2006-01-01

Abstract

Objective: We aimed to investigate the influence of the geneticvariability of candidate genes on survival at old age ingood health. Methods: First, on the basis of a synthetic survivalcurve constructed using historic mortality data takenfrom the Italian population from 1890 onward, we definedthree age classes ranging from 18 to 106 years. Second, weassembled a multinomial logistic regression model to evaluatethe effect of dichotomous variables (genotypes) on theprobability to be assigned to a specific category (age class).Third, we applied the regression model to a cross-sectionaldataset (10 genes; 972 subjects selected for healthy status)categorized according to age and sex. Results: We foundthat genetic factors influence survival at advanced age ingood health in a sex- and age-specific way. Furthermore, wefound that genetic variability plays a stronger role in malesthan in females and that, in both genders, its impact is especiallyimportant at very old ages. Conclusions: The analysespresented here underline the age-specific effect of the genenetwork in modulating survival at advanced age in goodhealth.
2006
logistic regression; multilocus analysis; survival phenotype
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11770/128613
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 43
  • ???jsp.display-item.citation.isi??? 41
social impact