Skip to main content
Journal cover image

Logistic regression models for polymorphic and antagonistic pleiotropic gene action on human aging and longevity.

Publication ,  Journal Article
Tan, Q; Bathum, L; Christiansen, L; De Benedictis, G; Dahlgaard, J; Frizner, N; Vach, W; Vaupel, JW; Yashin, AI; Christensen, K; Kruse, TA
Published in: Annals of human genetics
November 2003

In this paper, we apply logistic regression models to measure genetic association with human survival for highly polymorphic and pleiotropic genes. By modelling genotype frequency as a function of age, we introduce a logistic regression model with polytomous responses to handle the polymorphic situation. Genotype and allele-based parameterization can be used to investigate the modes of gene action and to reduce the number of parameters, so that the power is increased while the amount of multiple testing minimized. A binomial logistic regression model with fractional polynomials is used to capture the age-dependent or antagonistic pleiotropic effects. The models are applied to HFE genotype data to assess the effects on human longevity by different alleles and to detect if an age-dependent effect exists. Application has shown that these methods can serve as useful tools in searching for important gene variations that contribute to human aging and longevity.

Duke Scholars

Published In

Annals of human genetics

DOI

EISSN

1469-1809

ISSN

0003-4800

Publication Date

November 2003

Volume

67

Issue

Pt 6

Start / End Page

598 / 607

Related Subject Headings

  • Twins
  • Regression Analysis
  • Polymorphism, Genetic
  • Middle Aged
  • Membrane Proteins
  • Longevity
  • Logistic Models
  • Humans
  • Histocompatibility Antigens Class I
  • Hemochromatosis Protein
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Tan, Q., Bathum, L., Christiansen, L., De Benedictis, G., Dahlgaard, J., Frizner, N., … Kruse, T. A. (2003). Logistic regression models for polymorphic and antagonistic pleiotropic gene action on human aging and longevity. Annals of Human Genetics, 67(Pt 6), 598–607. https://doi.org/10.1046/j.1529-8817.2003.00051.x
Tan, Qihua, L. Bathum, L. Christiansen, G. De Benedictis, J. Dahlgaard, N. Frizner, W. Vach, et al. “Logistic regression models for polymorphic and antagonistic pleiotropic gene action on human aging and longevity.Annals of Human Genetics 67, no. Pt 6 (November 2003): 598–607. https://doi.org/10.1046/j.1529-8817.2003.00051.x.
Tan Q, Bathum L, Christiansen L, De Benedictis G, Dahlgaard J, Frizner N, et al. Logistic regression models for polymorphic and antagonistic pleiotropic gene action on human aging and longevity. Annals of human genetics. 2003 Nov;67(Pt 6):598–607.
Tan, Qihua, et al. “Logistic regression models for polymorphic and antagonistic pleiotropic gene action on human aging and longevity.Annals of Human Genetics, vol. 67, no. Pt 6, Nov. 2003, pp. 598–607. Epmc, doi:10.1046/j.1529-8817.2003.00051.x.
Tan Q, Bathum L, Christiansen L, De Benedictis G, Dahlgaard J, Frizner N, Vach W, Vaupel JW, Yashin AI, Christensen K, Kruse TA. Logistic regression models for polymorphic and antagonistic pleiotropic gene action on human aging and longevity. Annals of human genetics. 2003 Nov;67(Pt 6):598–607.
Journal cover image

Published In

Annals of human genetics

DOI

EISSN

1469-1809

ISSN

0003-4800

Publication Date

November 2003

Volume

67

Issue

Pt 6

Start / End Page

598 / 607

Related Subject Headings

  • Twins
  • Regression Analysis
  • Polymorphism, Genetic
  • Middle Aged
  • Membrane Proteins
  • Longevity
  • Logistic Models
  • Humans
  • Histocompatibility Antigens Class I
  • Hemochromatosis Protein