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Regression Models for Haplotype-Based Association Studies  

Oh, So-Hee (Department of Statistics, Seoul National University)
NamKung, Jung-Hyun (Interdisciplinary Program in Bioinformatics, Seoul National University)
Park, Tae-Sung (Department of Statistics, Seoul National University)
Publication Information
Genomics & Informatics / v.5, no.1, 2007 , pp. 19-23 More about this Journal
Abstract
In this paper, we provide an overview of statistical models for haplotype-based association studies, and summarize their features based on the design matrix. We classify the design matrix into the two types: direct and indirect. For these two kinds of matrices, we present and compare characteristics using a simple hypothetical example, and a real data set. The motivation behind this study was to provide practitioners with an improved understanding, to facilitate the informed selection of the appropriate haplotype-based model and to improve the interpretability of the models.
Keywords
Association; Case-control Study; Design Matrix; Generalized Linear Model; Haplotype;
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