Journal Article

A genome-wide association scan for rheumatoid arthritis data by Hotelling's T super(2) tests

Amos, Christopher I, Chen, Lianfu, Chen, Wei Vivien, Zhong, Ming, Fan, Ruzong

2009

Overview

We performed a genome-wide association scan on the North American Rheumatoid Arthritis Consortium (NARAC) data using Hotelling's T super(2) tests, i.e., T sub(H) based on allele coding and T sub(G) based on genotype coding. The objective was to identify associations between single-nucleotide polymorphisms (SNPs) or markers and rheumatoid arthritis. In specific candidate gene regions, we evaluated the performance of Hotelling's T super(2) tests. Then Hotelling's T super(2) tests were used as a tool to identify new regions that contain SNPs showing strong associations with disease. As expected, the strongest association evidence was found in the region of the HLA-DRB1 locus on chromosome 6. In the region of the TRAF1-C5 genes, we identified two SNPs, rs2900180 and rs3761847, with the largest and the second largest T sub(H) and T sub(G) scores among all SNPs on chromosome 9. We also identified one SNP, rs2476601, in the region of the PTPN22 gene that had the largest T sub(H) score and the second largest T sub(G) score among all SNPs on chromosome 1. In addition, SNPs with the largest T sub(H) score on each chromosome were identified. These SNPs may be located in the regions of genes that have modest effects on rheumatoid arthritis. These regions deserve further investigation.