Literature DB >> 30610379

The association of obesity and coronary artery disease genes with response to SSRIs treatment in major depression.

Azmeraw T Amare1,2, Klaus Oliver Schubert1,3, Fasil Tekola-Ayele4, Yi-Hsiang Hsu5,6, Katrin Sangkuhl7, Gregory Jenkins8, Ryan M Whaley7, Poulami Barman8, Anthony Batzler8, Russ B Altman9, Volker Arolt10, Jürgen Brockmöller11, Chia-Hui Chen12, Katharina Domschke13, Daniel K Hall-Flavin14, Chen-Jee Hong15,16, Ari Illi17, Yuan Ji18, Olli Kampman17,19, Toshihiko Kinoshita20, Esa Leinonen17,21, Ying-Jay Liou15,16, Taisei Mushiroda22, Shinpei Nonen23, Michelle K Skime14, Liewei Wang18, Masaki Kato20, Yu-Li Liu24, Verayuth Praphanphoj25, Julia C Stingl26, William V Bobo14, Shih-Jen Tsai15,16, Michiaki Kubo22, Teri E Klein7, Richard M Weinshilboum18, Joanna M Biernacka8,14, Bernhard T Baune27.   

Abstract

Selective serotonin reuptake inhibitors (SSRIs) are first-line antidepressants for the treatment of major depressive disorder (MDD). However, treatment response during an initial therapeutic trial is often poor and is difficult to predict. Heterogeneity of response to SSRIs in depressed patients is partly driven by co-occurring somatic disorders such as coronary artery disease (CAD) and obesity. CAD and obesity may also be associated with metabolic side effects of SSRIs. In this study, we assessed the association of CAD and obesity with treatment response to SSRIs in patients with MDD using a polygenic score (PGS) approach. Additionally, we performed cross-trait meta-analyses to pinpoint genetic variants underpinnings the relationship of CAD and obesity with SSRIs treatment response. First, PGSs were calculated at different p value thresholds (PT) for obesity and CAD. Next, binary logistic regression was applied to evaluate the association of the PGSs to SSRIs treatment response in a discovery sample (ISPC, N = 865), and in a replication cohort (STAR*D, N = 1,878). Finally, a cross-trait GWAS meta-analysis was performed by combining summary statistics. We show that the PGSs for CAD and obesity were inversely associated with SSRIs treatment response. At the most significant thresholds, the PGS for CAD and body mass index accounted 1.3%, and 0.8% of the observed variability in treatment response to SSRIs, respectively. In the cross-trait meta-analyses, we identified (1) 14 genetic loci (including NEGR1, CADM2, PMAIP1, PARK2) that are associated with both obesity and SSRIs treatment response; (2) five genetic loci (LINC01412, PHACTR1, CDKN2B, ATXN2, KCNE2) with effects on CAD and SSRIs treatment response. Our findings implicate that the genetic variants of CAD and obesity are linked to SSRIs treatment response in MDD. A better SSRIs treatment response might be achieved through a stratified allocation of treatment for MDD patients with a genetic risk for obesity or CAD.

Entities:  

Keywords:  Antidepressants; Body mass index; Coronary artery disease; Major depression; Obesity; Pharmacogenomics; Pleiotropy; Polygenic score; SSRIs

Mesh:

Substances:

Year:  2019        PMID: 30610379     DOI: 10.1007/s00702-018-01966-x

Source DB:  PubMed          Journal:  J Neural Transm (Vienna)        ISSN: 0300-9564            Impact factor:   3.575


  45 in total

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Journal:  Nat Genet       Date:  2008-12-14       Impact factor: 38.330

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2.  Genetic variants associated with cardiometabolic abnormalities during treatment with selective serotonin reuptake inhibitors: a genome-wide association study.

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3.  Association between CYP metabolizer phenotypes and selective serotonin reuptake inhibitors induced weight gain: a retrospective cohort study.

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5.  Depression-Associated Gene Negr1-Fgfr2 Pathway Is Altered by Antidepressant Treatment.

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7.  Genetic evidence suggests posttraumatic stress disorder as a subtype of major depressive disorder.

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8.  Association of heat shock protein polymorphisms with patient susceptibility to coronary artery disease comorbid depression and anxiety in a Chinese population.

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