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Title: Introducing the multivariate dale model in population-based genetic association studies
Authors: Van Steen, Kristel
Tahri, Nadia
Molenberghs, Geert
Issue Date: 2004
Citation: BIOMETRICAL JOURNAL, 46(2). p. 187-202
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: Harvard Univ, Sch Publ Hlth, Dept Biostat, Boston, MA 02115 USA. Limburgs Univ Ctr, Ctr Stat, Diepenbeek, Belgium. CHU Pitie Salpetriere, INSERM, U525, Paris, France. Genser SA, Genom Res Ctr, Evry, France.Van Steen, K, Harvard Univ, Sch Publ Hlth, Dept Biostat, 655 Huntington Ave, Boston, MA 02115 USA.kvanstee@hsph.harvard.edu
URI: http://hdl.handle.net/1942/2201
DOI: 10.1002/bimj.200310016
ISI #: 000221162500004
ISSN: 0323-3847
Category: A1
Type: Journal Contribution
Validation: ecoom, 2005
Appears in Collections: Research publications

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