Assessment of variance components models on pedigrees using cholesterol, low-density, and high-density lipoprotein measurements

Am J Med Genet. 1983 Sep;16(1):117-29. doi: 10.1002/ajmg.1320160118.


Plasma total cholesterol, low-density lipoprotein (LDL), and high-density lipoprotein (HDL) measurements on 402 individuals in 62 randomly selected families from the Columbia Medical Plan population were used to select the "best" model among a series of multifactorial models using the maximum likelihood method described by Lange et al [1976]. These models included both genetic and nongenetic components of variance. The most parsimonious model for each trait was selected and examined using a goodness-of-fit statistic designed by Hopper and Mathews [1982] to test the assumptions of this technique. A simple additive genetic model was the most plausible for all three measurements, suggesting a strong role for genetic factors in determining lipid and lipoprotein levels in these data. Goodness-of-fit statistics for these models were examined and showed little evidence of deviation from the assumption of multivariate normality within pedigrees. This approach of selecting the most parsimonious model among a series of competing models and then assessing its goodness-of-fit has many applications in studying familial aggregation of quantitative traits.

Publication types

  • Comparative Study

MeSH terms

  • Adult
  • Analysis of Variance
  • Child
  • Cholesterol / blood
  • Cholesterol / genetics*
  • Female
  • Humans
  • Lipoproteins, HDL / blood
  • Lipoproteins, HDL / genetics*
  • Lipoproteins, LDL / blood
  • Lipoproteins, LDL / genetics*
  • Male
  • Models, Genetic*
  • Pedigree


  • Lipoproteins, HDL
  • Lipoproteins, LDL
  • Cholesterol