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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 | Source: | 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. | Document URI: | http://hdl.handle.net/1942/2672 | ISSN: | 0002-9297 | e-ISSN: | 1537-6605 | ISI #: | 000171648901289 | Category: | M | Type: | Journal Contribution |
Appears in Collections: | Research publications |
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