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

Authors :
Chen-Jee Hong
Fasil Tekola-Ayele
Olli Kampman
Richard M. Weinshilboum
Masaki Kato
Michelle K. Skime
Yuan Ji
Russ B. Altman
Daniel K. Hall-Flavin
Jürgen Brockmöller
Klaus Oliver Schubert
Katharina Domschke
Poulami Barman
Liewei Wang
Taisei Mushiroda
Azmeraw T. Amare
Shinpei Nonen
Shih-Jen Tsai
Katrin Sangkuhl
Teri E. Klein
Anthony Batzler
Ari Illi
Esa Leinonen
Ryan Whaley
Volker Arolt
Ying Jay Liou
Chia Hui Chen
Bernhard T. Baune
Toshihiko Kinoshita
Gregory D. Jenkins
Verayuth Praphanphoj
William V. Bobo
Yi-Hsiang Hsu
Michiaki Kubo
Yu-Li Liu
Julia C. Stingl
Joanna M. Biernacka
Source :
Journal of Neural Transmission. 126:35-45
Publication Year :
2019
Publisher :
Springer Science and Business Media LLC, 2019.

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.

Details

ISSN :
14351463 and 03009564
Volume :
126
Database :
OpenAIRE
Journal :
Journal of Neural Transmission
Accession number :
edsair.doi.dedup.....6b3ddd1121b70cd344f06519dd53430c
Full Text :
https://doi.org/10.1007/s00702-018-01966-x