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Measuring the genetic influence in modulating the human life span: gene-environment interaction and the sex-specific genetic effect.

Publication ,  Journal Article
Tan, Q; De Benedictis, G; Yashi, AI; Bonafe, M; DeLuca, M; Valensin, S; Vaupel, JW; Franceschi, C
Published in: Biogerontology
January 2001

New approaches are needed to explore the different ways in which genes affect the human life span. One needs to assess the genetic effects themselves, as well as gene-environment interactions and sex dependency. In this paper, we present a new model that combines both genotypic and demographic information in the estimation of the genetic influence on life spans. Based on Cox's proportional hazard assumption, the model measures the risks for each gene as well as for gene-environment and gene-sex interactions, while controlling for confounding factors. A two-step MLE is introduced to obtain a non-parametric form of the baseline hazard function. The model is applied to genotypic data from Italian centenarian studies to estimate relative risks of candidate genes, risks due to interactions and initial frequencies of different genes in the population. Results from models that either do or do not take into consideration individual heterogeneity are compared. It is shown that ignoring the existence of heterogeneity can lead to a systematic underestimation of genetic effects and effects due to interactions.

Duke Scholars

Published In

Biogerontology

DOI

EISSN

1573-6768

ISSN

1389-5729

Publication Date

January 2001

Volume

2

Issue

3

Start / End Page

141 / 153

Related Subject Headings

  • Sex Factors
  • Models, Statistical
  • Models, Genetic
  • Male
  • Longevity
  • Likelihood Functions
  • Humans
  • Gerontology
  • Female
  • Environment
 

Citation

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MLA
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Tan, Q., De Benedictis, G., Yashi, A. I., Bonafe, M., DeLuca, M., Valensin, S., … Franceschi, C. (2001). Measuring the genetic influence in modulating the human life span: gene-environment interaction and the sex-specific genetic effect. Biogerontology, 2(3), 141–153. https://doi.org/10.1023/a:1011557022985
Tan, Q., G. De Benedictis, A. I. Yashi, M. Bonafe, M. DeLuca, S. Valensin, J. W. Vaupel, and C. Franceschi. “Measuring the genetic influence in modulating the human life span: gene-environment interaction and the sex-specific genetic effect.Biogerontology 2, no. 3 (January 2001): 141–53. https://doi.org/10.1023/a:1011557022985.
Tan Q, De Benedictis G, Yashi AI, Bonafe M, DeLuca M, Valensin S, et al. Measuring the genetic influence in modulating the human life span: gene-environment interaction and the sex-specific genetic effect. Biogerontology. 2001 Jan;2(3):141–53.
Tan, Q., et al. “Measuring the genetic influence in modulating the human life span: gene-environment interaction and the sex-specific genetic effect.Biogerontology, vol. 2, no. 3, Jan. 2001, pp. 141–53. Epmc, doi:10.1023/a:1011557022985.
Tan Q, De Benedictis G, Yashi AI, Bonafe M, DeLuca M, Valensin S, Vaupel JW, Franceschi C. Measuring the genetic influence in modulating the human life span: gene-environment interaction and the sex-specific genetic effect. Biogerontology. 2001 Jan;2(3):141–153.
Journal cover image

Published In

Biogerontology

DOI

EISSN

1573-6768

ISSN

1389-5729

Publication Date

January 2001

Volume

2

Issue

3

Start / End Page

141 / 153

Related Subject Headings

  • Sex Factors
  • Models, Statistical
  • Models, Genetic
  • Male
  • Longevity
  • Likelihood Functions
  • Humans
  • Gerontology
  • Female
  • Environment