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Rheumatoid Arthritis (RA) pharmacotherapy may impact mental health (MH) outcomes by improving pain and stiffness; and potentially via targeting inflammatory processes common to RA and depression. The objectives of this review were to i) ascertain the frequency of MH assessment in RA pharmacotherapy trials; ii) quantify the efficacy of RA pharmacotherapy efficacy on MH outcomes; iii) explore the clinical and demographic factors related to MH outcomes.\ud \ud CENTRAL, PsychINFO, Web of Science, Medline, Embase and CINAHL were systematically searched from inception to March 2017 for randomised trials of disease‐modifying anti‐rheumatic drugs (DMARDs) in adult RA patients. The primary outcome was MH; self‐reported physical health was extracted as a secondary outcome. Pairwise meta‐analysis (PMA) created pooled effect sizes and 95%CIs for comparisons of all treatments versus comparators (active or placebo). Network meta‐analysis (NMA) provided effect size estimates of targeted biologic DMARDs (bDMARDs) versus conventional synthetic DMARDs (csDMARDs) using indirect comparisons of different treatment modalities.\ud \ud 71 eligible studies were identified. 57 studies were included in the PMA, representing 23,535 patients. bDMARDs showed small effects on MH (standardised mean difference (SMD) versus csDMARDs = 0.19 to 0.30), and moderate effects on self‐reported physical health (SMD versus csDMARDs = 0.46 to 0.50), with NMA determining no significant differences in effectiveness between bDMARD mode of action on either outcome.\ud \ud Effective pharmacotherapy alone is unlikely to substantially improve MH outcomes for most RA patients. Integrated MH care provided within routine clinical practice is essential to optimise mental and physical health outcomes.

Objective The number of confirmed rheumatoid arthritis (RA) loci currently stands at 32, but many lines of evidence indicate that expansion of existing genome-wide association studies (GWAS) enhances the power to detect additional loci. This study was undertaken to extend our previous RA GWAS in a UK cohort, adding more independent RA cases and healthy controls, with the aim of detecting novel association signals for susceptibility to RA in a homogeneous UK cohort. Methods A total of 3,223 UK RA cases and 5,272 UK controls were available for association analyses, with the extension adding 1,361 cases and 2,334 controls to the original GWAS data set. The genotype data for all RA cases were imputed using the Impute program version 2. After stringent quality control thresholds were applied, 3,034 cases and 5,271 controls (1,831,729 single-nucleotide polymorphisms [SNPs]) were available for analysis. Association testing was performed using Plink software. Results The analyses indicated a suggestive association with susceptibility to RA (P < 0.0001) for 6 novel RA loci that have been previously found to be associated with other autoimmune diseases; these 6 SNPs were genotyped in independent samples. Two of the associated loci were validated, one of which was associated with RA at genome-wide levels of significance in the combined analysis, identifying a novel RA locus at 22q12 (P = 6.9 × 10−9). In addition, most of the previously known RA susceptibility loci were confirmed to be associated with RA, and for 16 of the loci, the strength of the association was increased. Conclusion This study identified a new RA locus mapping to 22q12. These results support the notion that increasing the power of GWAS enhances novel gene discovery.

Objective A recent high-density fine-mapping (ImmunoChip) study of genetic associations in rheumatoid arthritis (RA) identified 14 risk loci with validated genome-wide significance, as well as a number of loci showing associations suggestive of significance (P = 5 × 10−5 < 5 × 10−8), but these have yet to be replicated. The aim of this study was to determine whether these potentially significant loci are involved in the pathogenesis of RA, and to explore whether any of the loci are associated with a specific RA serotype. Methods A total of 16 single-nucleotide polymorphisms (SNPs) were selected for genotyping and association analyses in 2 independent validation cohorts, comprising 6,106 RA cases and 4,290 controls. A meta-analysis of the data from the original ImmunoChip discovery cohort and from both validation cohorts was carried out, for a combined total of 17,581 RA cases and 20,160 controls. In addition, stratified analysis of patient subsets, defined according to their anti–cyclic citrullinated peptide (anti-CCP) antibody status, was performed. Results A significant association with RA risk (P < 0.05) was replicated for 6 of the SNPs assessed in the validation cohorts. All SNPs in the validation study had odds ratios (ORs) for RA susceptibility in the same direction as those in the ImmunoChip discovery study. One SNP, rs72928038, mapping to an intron of BACH2, achieved genome-wide significance in the meta-analysis (P = 1.2 × 10−8, OR 1.12), and a second SNP, rs911263, mapping to an intron of RAD51B, was significantly associated in the anti-CCP–positive RA subgroup (P = 4 × 10−8, OR 0.89), confirming that both are RA susceptibility loci. Conclusion This study provides robust evidence for an association of RA susceptibility with genes involved in B cell differentiation (BACH2) and DNA repair (RAD51B). The finding that the RAD51B gene exhibited different associations based on serologic subtype adds to the expanding knowledge base in defining subgroups of RA.

A single-nucleotide polymorphism (C1858T) causing an amino acid substitution (R620W) in the lymphoid protein tyrosine phosphatase gene PTPN22 has been implicated in type 1 diabetes, rheumatoid arthritis, systemic lupus erythematosus, Graves' disease, juvenile idiopathic arthritis and Hashimoto's thyroiditis, thus revealing a general role for this gene in autoimmune disease. We investigated the association of the C1858T variant in an additional autoimmune disease population by performing a case-control study of 514 British individuals with inflammatory bowel disease (IBD) [294 with Crohn's disease (CD) and 220 with ulcerative colitis (UC)] and 374 normal controls. No significant differences in genotype or allele frequencies were observed between IBD, CD or UC and controls, indicating that PTPN22 does not influence risk of IBD.