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

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

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 antibodi...

Citrulline and anti-cyclic citrullinated peptide antibodies in rheumatoid arthritis

diagnostic value of anti-cyclic citrullinated peptide antibodies in patients with rheumatoid arthritis

objective: anti-cyclic citrullinated peptide (anti-ccp) antibodies are highly specific markers for rheumatoid arthritis (ra) and useful for predicting rheumatoid arthritis (ra) development and progression. we assessed the diagnostic value of anti-ccp antibodies in our patients with ra. materials and methods: anti-ccp antibodies and rheumatoid factor (rf) titers were determined in 247 serum sam...

Specific association of type 1 diabetes mellitus with anti-cyclic citrullinated peptide-positive rheumatoid arthritis.

OBJECTIVE The co-occurrence of autoimmune diseases such as rheumatoid arthritis (RA) and type 1 diabetes mellitus (DM) has been reported in individuals and families. In this study, the strength and nature of this association were investigated at the population level in a Swedish case-control cohort. METHODS For this case-control study, 1,419 patients with incident RA diagnosed between 1996 an...

Case-control genome-wide association study of rheumatoid arthritis from Genetic Analysis Workshop 16 using penalized orthogonal-components regression-linear discriminant analysis

Currently, genome-wide association studies (GWAS) are conducted by collecting a massive number of SNPs (i.e., large p) for a relatively small number of individuals (i.e., small n) and associations are made between clinical phenotypes and genetic variation one single-nucleotide polymorphism (SNP) at a time. Univariate association approaches like this ignore the linkage disequilibrium between SNP...