Abstract
In population studies on aging, the data on genetic markers are often collected for individuals from different age groups. The purpose of such studies is to identify, by comparison of the frequencies of selected genotypes, 'longevity' or 'frailty' genes in the oldest and in younger groups of individuals. To address questions about more-complicated aspects of genetic influence on longevity, additional information must be used. In this article, we show that the use of demographic information, together with data on genetic markers, allows us to calculate hazard rates, relative risks, and survival functions for respective genes or genotypes. New methods of combining genetic and demographic information are discussed. These methods are tested on simulated data and then are applied to the analysis of data on genetic markers for two haplogroups of human mtDNA. The approaches suggested in this article provide a powerful tool for analyzing the influence of candidate genes on longevity and survival. We also show how factors such as changes in the initial frequencies of candidate genes in subsequent cohorts, or secular trends in cohort mortality, may influence the results of an analysis.
| Original language | English |
|---|---|
| Pages (from-to) | 1178-1193 |
| Number of pages | 16 |
| Journal | American Journal of Human Genetics |
| Volume | 65 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 1999 |
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ASJC Scopus subject areas
- Genetics
Cite this
Genes, demography, and life span : The contribution of demographic data in genetic studies on aging and longevity. / Yashin, A. I.; De Benedictis, G.; Vaupel, J. W.; Tan, Q.; Andreev, K. F.; Iachine, I. A.; Bonafe, M.; DeLuca, M.; Valensin, S.; Carotenuto, L.; Franceschi, C.
In: American Journal of Human Genetics, Vol. 65, No. 4, 1999, p. 1178-1193.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Genes, demography, and life span
T2 - The contribution of demographic data in genetic studies on aging and longevity
AU - Yashin, A. I.
AU - De Benedictis, G.
AU - Vaupel, J. W.
AU - Tan, Q.
AU - Andreev, K. F.
AU - Iachine, I. A.
AU - Bonafe, M.
AU - DeLuca, M.
AU - Valensin, S.
AU - Carotenuto, L.
AU - Franceschi, C.
PY - 1999
Y1 - 1999
N2 - In population studies on aging, the data on genetic markers are often collected for individuals from different age groups. The purpose of such studies is to identify, by comparison of the frequencies of selected genotypes, 'longevity' or 'frailty' genes in the oldest and in younger groups of individuals. To address questions about more-complicated aspects of genetic influence on longevity, additional information must be used. In this article, we show that the use of demographic information, together with data on genetic markers, allows us to calculate hazard rates, relative risks, and survival functions for respective genes or genotypes. New methods of combining genetic and demographic information are discussed. These methods are tested on simulated data and then are applied to the analysis of data on genetic markers for two haplogroups of human mtDNA. The approaches suggested in this article provide a powerful tool for analyzing the influence of candidate genes on longevity and survival. We also show how factors such as changes in the initial frequencies of candidate genes in subsequent cohorts, or secular trends in cohort mortality, may influence the results of an analysis.
AB - In population studies on aging, the data on genetic markers are often collected for individuals from different age groups. The purpose of such studies is to identify, by comparison of the frequencies of selected genotypes, 'longevity' or 'frailty' genes in the oldest and in younger groups of individuals. To address questions about more-complicated aspects of genetic influence on longevity, additional information must be used. In this article, we show that the use of demographic information, together with data on genetic markers, allows us to calculate hazard rates, relative risks, and survival functions for respective genes or genotypes. New methods of combining genetic and demographic information are discussed. These methods are tested on simulated data and then are applied to the analysis of data on genetic markers for two haplogroups of human mtDNA. The approaches suggested in this article provide a powerful tool for analyzing the influence of candidate genes on longevity and survival. We also show how factors such as changes in the initial frequencies of candidate genes in subsequent cohorts, or secular trends in cohort mortality, may influence the results of an analysis.
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UR - http://www.scopus.com/inward/citedby.url?scp=0033358596&partnerID=8YFLogxK
U2 - 10.1086/302572
DO - 10.1086/302572
M3 - Article
C2 - 10486337
AN - SCOPUS:0033358596
VL - 65
SP - 1178
EP - 1193
JO - American Journal of Human Genetics
JF - American Journal of Human Genetics
SN - 0002-9297
IS - 4
ER -