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Variance components/major locus likelihood approximation for quantitative, polychotomous, and multivariate data

✍ Scribed by Dr. Sandra J. Hasstedt

Publisher: John Wiley and Sons
Year: 1993
Tongue: English
Weight: 776 KB
Volume: 10
Category: Article
ISSN: 0741-0395
DOI: 10.1002/gepi.1370100302

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✦ Synopsis

proximated the likelihood of the multifactorial model on a dichotomous phenotype by a procedure of successive univariate computation and conditioning. Hasstedt [Pap: Pedigree Analysis Package, Rev. 3. 19891 and Demenais [Am J Hum Genet 49:773-785, 19911 extended the algorithm to include a major locus. Here 1 extend the algorithm to polychotomous, quantitative, and multivariate phenotypes, add a major locus to the model, and describe and evaluate the accuracy of an approximation of the resulting variance components/major locus model.

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The variance components/major locus model encompasses a major locus, a polygenic component, and shared environmental effects. The model attributes familial correlations to polygenic and shared environmental effects when testing for major locus inheritance or accounts for the major locus when estimat