Testing the association between polymorphic markers and quantitative traits in pedigrees

Varghese George, Robert C. Elston, D. C. Rao

Research output: Contribution to journalArticlepeer-review

112 Scopus citations


A statistical model that uses an iterative maximum likelihood estimation procedure is proposed for measuring and testing the association between polymorhphic genetic markers and quantitative traits in human pedigrees, after adjusting for covariates such as age and sex. The model allows the quantitative trait to have a familial correlation structure among the individuals in the sample and to follow one of a broad class of skewed or kurtotic underlying distributions. The use of the model is illustrated, and the results are compared to those using models that assume normality without any transformation and do not incorporate familial correlations.

Original languageEnglish (US)
Pages (from-to)193-201
Number of pages9
JournalGenetic Epidemiology
Issue number3
StatePublished - Jan 1 1987


  • familial correlation
  • generalized modulus power transformation
  • kurtosis
  • maximum likelihood
  • normality
  • skewness

ASJC Scopus subject areas

  • Epidemiology
  • Genetics(clinical)


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