Models and Methods for the Genetic Analysis of Pedigree Data
"Human Heredity", Vol 42, No 1 (1992)
Published on 4. February 1992
Book
Paperback/Softback
92 pages
978-3-8055-5583-8 (ISBN)
Description
Two decades ago, a seminal paper on representation of the likelihood of a set of pedigree data led to what later became known as the Elston-Stewart (ES) algorithm. This volume testifies to the far-reaching effects of the work of Elston and Stewart (1971), which had a strong and lasting impact on statistical human genetics in that it presented a method for recursively computing likelihoods for observations on members of pedigrees of an arbitrary size. The papers presented were solicited from several early collaborators of Elston and from selected authors whose current work relates to the ES algorithm.
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Content
Genetics and biology - a comment on the significance of the Elston-Stewart algorithm, J. Stewart; the Elston-Stewart algorithm for continuous genotypes and environmental factors, R.C. Elston et al; compound regressive models for family data, G.E. Bonney; fast computation of genetic likelihoods on human pedigree data, T.M. Goradia et al; a Gibbs sampling approach to linkage analysis, D.C. Thomas and V. Cortessis; model misspecification and multipoint linkage analysis, N. Risch and L. Guiffra.