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A general conditional-logistic model for affected-relative-pair linkage studies.


ABSTRACT: Model-free LOD-score methods are often employed to detect linkage between marker loci and common diseases, with samples of affected sib pairs. Although extensions of the basic one-disease-locus model have been proposed that allow separate inclusion of other types of affected relative pairs, discordant relative pairs, covariates, or additional disease loci, a unified framework that can handle all of these features has been lacking. In this report, I propose a conditional-logistic parameterization that generalizes easily to include all of these features. Two data examples, one using simulated data and one using type 1 diabetes, illustrate applications of the models.

SUBMITTER: Olson JM 

PROVIDER: S-EPMC1288403 | biostudies-literature | 1999 Dec

REPOSITORIES: biostudies-literature

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A general conditional-logistic model for affected-relative-pair linkage studies.

Olson J M JM  

American journal of human genetics 19991201 6


Model-free LOD-score methods are often employed to detect linkage between marker loci and common diseases, with samples of affected sib pairs. Although extensions of the basic one-disease-locus model have been proposed that allow separate inclusion of other types of affected relative pairs, discordant relative pairs, covariates, or additional disease loci, a unified framework that can handle all of these features has been lacking. In this report, I propose a conditional-logistic parameterization  ...[more]

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