Index Exploring Genetic Association Information between Quantitative Trait Loci and Markers Using Parent-Offspring Triad Data
Date Issued
2009
Date
2009
Author(s)
Hsieh, Tsung-Jen
Abstract
Association studies, based on either population data or familial data, have been widely applied to mapping of genes for complex disease. Karlin (1979) proposed a major gene index (MGI) for exploring the inheritance mode for quantitative traits using nuclear familial data. However, the index may lead to spurious results due to the inappropriate selection of a power transformation parameter and the low heritability of a trait. In order to resolve this problem, in this thesis, we use parent-offspring triad data to construct two new MGIs that can more successfully explore the mode of inheritance for quantitative traits. In addition, we also construct two conditional major gene indices (CMGIs) to explore the genetic association information between a quantitative trait and a marker. Simulations are conducted to evaluate the performance of the two new MGIs and the two CMGIs.
Subjects
association
conditional major gene index
exploratory data analysis
major gene index
Type
thesis
File(s)![Thumbnail Image]()
Loading...
Name
ntu-98-R96842002-1.pdf
Size
23.32 KB
Format
Adobe PDF
Checksum
(MD5):a02a0f801c619e96c7a17014715ffe11