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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/2672

Title: Introduction of the multivariate Dale model in genetic association studies.
Authors: Tahri, N
VAN STEEN, Kristel
MOLENBERGHS, Geert
Issue Date: 2001
Publisher: UNIV CHICAGO PRESS
Citation: AMERICAN JOURNAL OF HUMAN GENETICS, 69(4). p. 403-403
Abstract: Until recently, the most common parametric approaches to study the combined effects of several genetic polymorphisms located within a gene or in a small genomic region are , at the genotype level, logistic regressions and at the haplotype level, haplotype analyses. An alternative modeling approach based on the case/control principle, is to regard exposures (e.g., genetic data such as derived from Single Nucleotide Polymorphisms SNPs) as random and disease status as fixed and to use a marginal multivariate model that accounts for inter-relationships between exposures. One such model is the multivariate Dale model. This model is based on multiple logistic regressions. That is why the model, applied in a case/control setting, leads to straightforward interpretations that are similar to those drawn in a classical logistic modeling framework.
Notes: Limburgs Univ Ctr, Ctr Stat, Diepenbeek, Belgium. CHU Pitie Salpetriere, INSERM, U525, Paris, France. Genset SA, Genom Res Ctr, Evry, France.
URI: http://hdl.handle.net/1942/2672
ISI #: 000171648901289
ISSN: 0002-9297
Category: M
Type: Journal Contribution
Appears in Collections: Research publications

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