Type of Document Master's Thesis Author Scott, Nigel A Author's Email Address nigscott@hotmail.com URN etd-07172009-111924 Title An Application of Armitage Trend Test to Genome-wide Association Studies Degree Master of Science Department Mathematics and Statistics Advisory Committee
Advisor Name Title Dr. Yixin Fang Committee Chair Dr. Yu-Sheng Hsu Committee Member Dr. Yuanhui Xiao Committee Member Keywords
- False discovery rate
- Genetic analysis workshop
- Rheumatoid arthritis
- Sequentially rejective bonferroni
- Single nucleotide polymorphisms
Date of Defense 2009-07-08 Availability unrestricted Abstract Genome-wide Association (GWA) studies have become a widely used method for analyzing genetic data. It is useful in detecting associations that may exist between particular alleles and diseases of interest. This thesis investigates the dataset provided from problem 1 of the Genetic Analysis Workshop 16 (GAW 16). The dataset consists of GWA data from the North American Rheumatoid Arthritis Consortium (NARAC). The thesis attempts to determine a set of single nucleotide polymorphisms (SNP) that are associated significantly with rheumatoid arthritis. Moreover, this thesis also attempts to address the question of whether the one-sided alternative hypothesis that the minor allele is positively associated with the disease or the two-sided alternative hypothesis that the genotypes at a locus are associated with the disease is appropriate, or put another way, the question of whether examining both alternative hypotheses yield more information.Files
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