Software for generating liability distributions for pedigrees conditional on their observed disease states and covariates.

Abstract

For many multifactorial diseases, aetiology is poorly understood. A major research aim is the identification of disease predictors (environmental, biological, and genetic markers). In order to achieve this, a two-stage approach is proposed. The initial or synthesis stage combines observed pedigree data with previous genetic epidemiological research findings… (More)
DOI: 10.1002/gepi.20446

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