[Estimating family correlation of quantitative traits using generalized estimating equation]

Zhonghua Liu Xing Bing Xue Za Zhi. 2003 Aug;24(8):729-33.
[Article in Chinese]

Abstract

Objective: To study the method for measuring familial correlations of quantitative trait and analyzing family data set of body height.

Methods: Generalized estimating equation 2 (GEE2) was employed to estimating both regression coefficients and the familial correlation. Analyses was carried out on software MAREG. A example from height pedigrees illustrated the method.

Results: GEE2 provided robust estimations of regression coefficients and familial correlations simultaneously. In body height the correlations between parents and offspring (r = 0.459) and between siblings (r = 0.671) were significantly higher than those between two parents (r = 0.184) after adjusting gender, residence and birth age. Of the same types of relative pairs, the correlation between pairs with individuals of the same gender (eg. father-son r = 0.603, mother-daughter r = 0.456, male sibling r = 0.947, female sibling r = 0.681) was higher than those individuals of different gender (eg father-daughter r = 0.431, mother-son r = 0.364, sibling with different gender r = 0.530).

Conclusion: GEE2 should be considered a standard method for the investigation of familial aggregation due to its flexibility and robustness.

Publication types

  • English Abstract
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Body Height / genetics*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Models, Genetic*
  • Models, Statistical
  • Multifactorial Inheritance
  • Nuclear Family*
  • Pedigree
  • Quantitative Trait Loci
  • Quantitative Trait, Heritable*
  • Regression Analysis
  • Risk Factors
  • Sex Factors