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Your search keyword '"Bonafe, M"' showing total 2 results
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2 results on '"Bonafe, M"'

1. Inflammation, genetics, and longevity: further studies on the protective effects in men of IL-10-1082 promoter SNP and its interaction with TNF-α -308 promoter SNP. (Letter to JMG)

Author

Lio, D., Scola, L., Crivello, A., Colonna-Romano, G., Candore, G., Bonafe, M., Cavallone, L., Marchegiani, F., Olivieri, F., Franceschi, C., and Caruso, C.

Subjects
Inflammation -- Genetic aspects -- Research, Aging -- Genetic aspects -- Health aspects -- Physiological aspects -- Research, Men -- Health aspects -- Research -- Physiological aspects, Longevity -- Genetic aspects -- Physiological aspects -- Health aspects -- Research, Interleukin-10 -- Physiological aspects -- Research -- Health aspects, Medical genetics -- Research -- Health aspects -- Physiological aspects, Aged men -- Health aspects -- Physiological aspects -- Research, Tumor necrosis factor -- Physiological aspects -- Genetic aspects -- Health aspects -- Research, Health, Physiological aspects, Genetic aspects, Research, Health aspects
Abstract

Ageing is associated with chronic, low grade inflammatory activity leading to long term tissue damage, and systemic chronic inflammation has been found to be related to mortality risk from all [...]

Published
2003

2. Genes and Longevity: Lessons From Studies of Centenarians

Author

Yashin, A.I., De Benedictis, G., Vaupel, J.W., Tan, Q., Andreev, K.F., Iachine, I.A., Bonafe, M., Valensin, S., De Luca, M., Carotenuto, L., and Franceschi, C.

Subjects
Centenarians -- Genetic aspects, Longevity -- Genetic aspects, Health, Seniors
Abstract

In population studies of aging, the data on genetic markers are often collected for individuals from different age groups. The idea of such studies is to identify 'longevity' or 'frailty' genes by comparing the frequencies of genotypes in the oldest and in the younger groups of individuals. In this paper we discuss a new approach to the analysis of such data. This approach, based on the maximum likelihood method, combines data on genetic markers with survival information obtained from standard demographic life tables. This method allows us to evaluate survival characteristics for individuals carrying respective candidate genes. It can also be used in the estimation of the effects of allele-area and allele-allele interaction, either in the presence or absence of hidden heterogeneity. We apply this method to the analysis of Italian data on genetic markers for five autosomal loci and mitochondrial genomes. Then we discuss basic assumptions used in this analysis and directions of further research.

Published
2000

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