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Background. It has been proposed that non-steroidal anti-inflammatory drugs (NSAIDs) may interfere with the efficacy of antidepressants and contribute to treatment resistance in major depressive disorder (MDD). This effect requires replication and a test of whether it is specific to serotonin-reuptake inhibiting (SRI) antidepressants. Method. We tested the effect of concomitant medication with NSAIDs on the efficacy of escitalopram, a SRI antidepressant, and nortriptyline, a tricyclic antidepressant, among 811 subjects with MDD treated for up to 12 weeks in the GENDEP study. Effects of NSAIDs on improvement of depressive symptoms were tested in mixed-effect linear models. Effects on remission were tested in logistic regression. Age, sex, baseline severity and centre of recruitment were considered as potential confounding factors. Results. Ten percent (n = 78) of subjects were taking NSAIDs during the antidepressant treatment. Older subjects were significantly more likely to take NSAIDs. After controlling for age, sex, centre of recruitment and baseline severity, concomitant medication with NSAIDs did not significantly influence the efficacy of escitalopram [β=0.035, 95% confidence interval (CI) -0.145 to 0.215, p=0.704] or nortriptyline (β=0.075, 95% CI -0.131 to 0.281, p=0.476). Although slightly fewer subjects who took NSAIDs reached remission [odds ratio (OR) 0.80, 95% CI 0.49-1.31, p=0.383], this non-significant effect was reversed after controlling for age, sex, baseline severity and recruitment centre effects (OR 1.04, 95% CI 0.61-1.77, p=0.882). Conclusions. NSAIDs are unlikely to affect the efficacy of SRI or other antidepressants. Concurrent use of NSAIDs and antidepressants does not need to be avoided. [ABSTRACT FROM AUTHOR]

Bipolar disorder affects about 1% of the world's population, and its estimated heritability is about 75%. Only few whole genome or whole-exome sequencing studies in bipolar disorder have been reported, and no rare coding variants have yet been robustly identified. The use of isolated populations might help finding variants with a recent origin, more likely to have drifted to higher frequency by chance. Following this approach, we investigated 28 bipolar cases and 214 controls from the Faroe Islands by whole exome sequencing, and the results were followed-up in a British sample of 2025 cases and 1358 controls. Seventeen variants in 16 genes in the single-variant analysis, and 3 genes in the gene-based statistics surpassed exome-wide significance in the discovery phase. The discovery findings were supported by enrichment analysis of common variants from genome-wide association studies (GWAS) data and interrogation of protein-protein interaction networks. The replication in the British sample confirmed the association with NOS1 (missense variant rs79487279) and NCL (gene-based test). A number of variants from the discovery set were not present in the replication sample, including a novel PITPNM2 missense variant, which is located in a highly significant schizophrenia GWAS locus. Likewise, PIK3C2A identified in the gene-based analysis is located in a combined bipolar and schizophrenia GWAS locus. Our results show support both for existing findings in the literature, as well as for new risk genes, and identify rare variants that might provide additional information on the underlying biology of bipolar disorder.

Objective: Three linkage studies of bipolar disorder have implicated chromosome 12q24.3, with significant lod scores of over 3.00. Several other linkage studies have found lod scores between 2.00 and 3.00. In order to identify which gene on this chromosome is responsible, the authors carried out tests of allelic association with bipolar disorder in order to fine map an affective disorder susceptibility gene., Method: DNA samples from 681 bipolar disorder patients and 570 comparison subjects from Denmark and the United Kingdom were genotyped with markers close to the region at which the authors had found maximum linkage in previous studies., Results: Single marker allelic association was found with four markers in the Danish cohort. Seven markers in exactly the same region were then found to show significant allelic association in the U.K. cohort. Tests of haplotypic association were also significant, confirming the single marker allelic associations., Conclusions: These positive fine mapping results validate earlier linkage studies and implicate a 278-kilobase region of chromosome 12 that contributes to the etiology of bipolar disorder. Several brain transcripts are transcribed from sequences in the region. The main candidate gene has no known function but is found in human brain cDNA and is homologous to a Macaque brain cDNA. Sequencing of expressed sequences and control regions in the area should identify etiological base pair changes that increase susceptibility to bipolar disorder.