Regression Models for Haplotype-Based Association Studies.
- Author:
So Hee OH
1
;
Jung Hyun NAMKUNG
;
Tae Sung PARK
Author Information
1. Department of Statistics, Seoul National University, Seoul 151-742, Korea. tspark@stats.snu.ac.kr
- Publication Type:Original Article
- Keywords:
Association;
Case-control Study;
Design Matrix;
Generalized Linear Model;
Haplotype
- MeSH:
Case-Control Studies;
Dataset;
Haplotypes;
Models, Statistical;
Motivation
- From:Genomics & Informatics
2007;5(1):19-23
- CountryRepublic of Korea
- Language:English
-
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.
