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Genetic analysis workshop II: Pedigree analysis of a binary trait without assuming an underlying liability
Author(s) -
Hopper J. L.,
Hannah M. C.,
Mathews J. D.
Publication year - 1984
Publication title -
genetic epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.301
H-Index - 98
eISSN - 1098-2272
pISSN - 0741-0395
DOI - 10.1002/gepi.1370010212
Subject(s) - pedigree chart , concordance , multiplicative function , trait , statistics , binary number , liability , measure (data warehouse) , mathematics , econometrics , computer science , genetics , biology , data mining , economics , arithmetic , finance , gene , programming language , mathematical analysis
A model for concordance in a binary measure that does not rely on the assumption of an underlying latent liability dichotomized about a threshold has been demonstrated for twin pairs [Hannah et al, 1983]. It is extended here to pedigrees of arbitrary structure by making an assumption that is, for small incidence rates, almost equivalent to postulating that relative risks are multiplicative. The model is applied to the workshop data to determine the extent to which the known structure of the simulated models can be recovered.