A quantile-based method for association mapping of quantitative phenotypes: an application to rheumatoid arthritis phenotypes.

ABSTRACT: Genetic association of population-based quantitative trait data has traditionally been analyzed using analysis of variance (ANOVA). However, violations of certain statistical assumptions may lead to false-positive association results. In this study, we have explored model-free alternatives to ANOVA using correlations between allele frequencies in the different quantile intervals of the quantitative trait and the quantile values. We performed genome-wide association scans on anti-cyclic citrullinated peptide and rheumatoid factor-immunoglobulin M, two quantitative traits correlated with rheumatoid arthritis, using the data provided in Genetic Analysis Workshop 16. Both the quantitative traits exhibited significant evidence of association on Chromosome 6, although not in the human leukocyte

SUBMITTER: Ghosh S 

PROVIDER: S-EPMC2795914 | biostudies-literature | 2009 Dec

REPOSITORIES: biostudies-literature