Biological function integrated prediction of severe radiographic progression in rheumatoid arthritis: a nested case control study.

ABSTRACT:

Background

Radiographic progression is reported to be highly heritable in rheumatoid arthritis (RA). However, previous study using genetic loci showed an insufficient accuracy of prediction for radiographic progression. The aim of this study is to identify a biologically relevant prediction model of radiographic progression in patients with RA using a genome-wide association study (GWAS) combined with bioinformatics analysis.

Methods

We obtained genome-wide single nucleotide polymorphism (SNP) data for 374 Korean patients with RA using Illumina HumanOmni2.5Exome-8 arrays. Radiographic progression was measured using the yearly Sharp/van der Heijde modified score rate, and categorized in no or severe progression. Significant SNPs for severe radiographic progression from GWAS w

SUBMITTER: Joo YB 

PROVIDER: S-EPMC5655942 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature