Genes and longevity: Lessons from studies of centenarians

被引:54
|
作者
Yashin, AI
De Benedictis, G
Vaupel, JW
Tan, Q
Andreev, KF
Iachine, IA
Bonafe, M
Valensin, S
De Luca, M
Carotenuto, L
Franceschi, C
机构
[1] Max Planck Inst Demog Res, D-18057 Rostock, Germany
[2] Duke Univ, Ctr Demog Studies, Durham, NC 27706 USA
[3] Duke Univ, Sanford Inst, Durham, NC 27706 USA
[4] Univ Calabria, Dept Cell Biol, I-87030 Commenda Di Rende, Italy
[5] Univ Calabria, Dept Syst Sci, I-87030 Commenda Di Rende, Italy
[6] Univ So Denmark, Inst Stat & Demog, Odense, Denmark
[7] Univ Bologna, Dept Expt Pathol, I-40126 Bologna, Italy
[8] Ist Nazl Riposo & Cura Anziani, Ancona, Italy
关键词
D O I
10.1093/gerona/55.7.B319
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
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.
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页码:B319 / B328
页数:10
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