A logistic regression model for measuring gene-longevity associations

Tan, Q., Yashin, A. I., De Benedictis, G., Cintolesi, F., Rose, G., Bonafe, M., Franceschi, C., Vach, W., Vaupel, J. W.
Clinical Genetics, 60:6, 463–469 (2001)


The logistic regression model is a popular model for data analysis in epidemiological research. In this paper, we use this model to analyze genetic data collected from gene–longevity association studies. This new approach models the probability of observing one genotype as a function of the age of investigated individuals. Applying the model to genotype data on the TH and 3ApoB-VNTR loci collected from an Italian centenarian study, we show how it can be used to model the different ways that genes affect survival, including sex- and age-specific influences. We highlight the advantages of this application over other available models. The application of the model to empirical data indi-cates that it is an efficient and easily applicable approach for determining the influences of genes on human longevity. (MUNKSGAARD)
Das Max-Planck-Institut für demografische Forschung (MPIDR) in Rostock ist eines der international führenden Zentren für Bevölkerungswissenschaft. Es gehört zur Max-Planck-Gesellschaft, einer der weltweit renommiertesten Forschungsgemeinschaften.