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Genomics Inform > Volume 5(1); 2007 > Article
Regression Models for Haplotype-Based Association Studies.
So Hee Oh, Jung Hyun Namkung, Tae Sung Park
1Department of Statistics, Seoul National University, Seoul 151-742, Korea. tspark@stats.snu.ac.kr
2Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul 151-742, Korea.
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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