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This article is part of the supplement: Genetic Analysis Workshop 16

Open Access Proceedings

Simultaneous genome-wide association studies of anti-cyclic citrullinated peptide in rheumatoid arthritis using penalized orthogonal-components regression

Yanzhu Lin1, Min Zhang1, Libo Wang1, Vitara Pungpapong1, James C Fleet2 and Dabao Zhang1*

Author Affiliations

1 Department of Statistics, Purdue University, West Lafayette, Indiana 47907, USA

2 Department of Foods and Nutrition, Purdue University, West Lafayette, Indiana 47907, USA

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BMC Proceedings 2009, 3(Suppl 7):S20  doi:

Published: 15 December 2009

Abstract

Genome-wide associations between single-nucleotide polymorphisms and clinical traits were simultaneously conducted using penalized orthogonal-components regression. This method was developed to identify the genetic variants controlling phenotypes from a massive number of candidate variants. By investigating the association between all single-nucleotide polymorphisms to the phenotype of antibodies against cyclic citrullinated peptide using the rheumatoid arthritis data provided by Genetic Analysis Workshop 16, we identified genetic regions which may contribute to the pathogenesis of rheumatoid arthritis. Bioinformatic analysis of these genomic regions showed most of them harbor protein-coding gene(s).