Strategy and model building in the fourth dimension: a null model for genotype × age interaction as a Gaussian stationary stochastic process
2003

Genotype and Age Interaction in Cardiovascular Traits

publication Evidence: moderate

Author Information

Author(s): Diego Vincent P, Laura Almasy, Thomas D Dyer, Júlia M P Soler, John Blangero

Primary Institution: Southwest Foundation for Biomedical Research

Hypothesis

Is there a genotype × age interaction affecting cardiovascular phenotypes in the aging process?

Conclusion

The study found polygenic genotype × age interaction for fasting glucose and systolic blood pressure.

Supporting Evidence

  • The study found evidence for genotype × age interaction for fasting glucose and systolic blood pressure.
  • The results suggest that cross-sectional data may be better at capturing genotype × age interaction than longitudinal data.

Takeaway

The study looked at how our genes and age together affect things like blood pressure and blood sugar levels.

Methodology

The study used univariate and multivariate variance components linkage analysis methods to assess genotype × age interaction.

Limitations

The study could not control for diabetic status due to lack of data.

Participant Demographics

Participants were from the Framingham Heart Study, which includes diverse individuals over various ages.

Statistical Information

P-Value

p<0.001

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1186/1471-2156-4-S1-S34

Want to read the original?

Access the complete publication on the publisher's website

View Original Publication