Further evidence of an association between a genetic variant in BMP7 and treatment response to SSRIs in major depressive disorder

Esaki, Kosei; Kondo, Kenji; Hatano, Masakazu; Takeo, Satoshi; Kishi, Taro; Umene-Nakano, Wakako; Yoshimura, Reiji; Nakamura, Jun; Ozaki, Norio; Ikeda, Masashi; Iwata, Nakao

doi:10.1038/jhg.2013.52

Cited by 3 publications

(1 citation statement)

References 7 publications

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“…Notably, we still lack an integrated database with fuller functional lncRNAs that associated with chronic stress and depression (Esaki, et al, 2013, Ordway, et al, 2012. Gpr83 can functionally couple with G-protein coupled receptors (GPCR) (Muller, et al, 2016).…”

Section: Discussionmentioning

confidence: 99%

Integrated analysis profiles of long non–coding RNAs reveal potential biomarkers across brain regions in post–traumatic stress disorder

Bian

Yang

Wang

et al. 2020

Preprint

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Background Post–traumatic stress disorder (PTSD) is characterized by impaired fear extinction, excessive anxiety and depression. However, underlying mechanisms, especially the function roles of long non–coding RNAs (lncRNAs) involved in PTSD is still unclear. We argued that the lncRNAs, co–expressed mRNAs, as well as the associated pathways, are altered and may thus serve as potential biomarkers and key pathways related to PTSD.Methods The gene expression profiles of GSE68077 was downloaded from the GEO database, and the differentially expressed lncRNAs and mRNAs were identified. Gene ontology (GO) and Kyto Encyclopedia of Genes and Genomes pathway (KEGG) enrichment analysis were performed. Subsequently, protein–protein interaction (PPI) network was analyzed, and module analysis of the differentially expressed mRNAs was performed with Cytoscape software. Finally, lncRNAs–mRNAs co–expression network was constructed and core pair lncRNAs involved in PTSD were mapped.Results A total of 45 differentially expressed lncRNAs and 726 differentially expressed mRNAs were obtained. Among of which, 17 lncRNAs and 86 mRNAs were inter–regulated, and most of the lncRNAs–mRNAs co–expression showed positive correlations. The lncRNAs–mRNAs co–expressed network suggested the potentially functional roles of lncRNAs, regulated mRNAs and related pathways in PTSD. By implication of the core pair network, lncRNA–NONMMUT010120.2 synergistically up–regulated Ppargc1a and down–regulated Cir1, Slc38a9, Atp6v0a2. Moreover, lncRNA–NONMMUT023440.2, NONMMUT034155.2, NONMMUT105407.1 and NONMMUT149972.1 were co–expressed with 10 co–expressed mRNAs, which indicated that lncRNAs involved in PTSD might work by regulating the co–expressed mRNAs.

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Section: Discussionmentioning

confidence: 99%

Integrated analysis profiles of long non–coding RNAs reveal potential biomarkers across brain regions in post–traumatic stress disorder

Bian

Yang

Wang

et al. 2020

Preprint

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Genetic Landscape of Major Depressive Disorder: Assessment of Potential Diagnostic and Antidepressant Response Markers

Singh

Srivastava

Guin

et al. 2023

International Journal of Neuropsychopharmacology

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Background The clinical heterogeneity in major depressive disorder (MDD), variable treatment response and conflicting findings limit the ability of genomics towards the discovery of evidence-based diagnosis and treatment regimen. This study attempts to curate all genetic association findings to evaluate potential variants for clinical translation. Methods We systematically reviewed all candidate and genome-wide association studies for both MDD susceptibility and antidepressant response, independently, using MEDLINE, particularly to identify replicated findings. These variants were evaluated for functional consequences using different in silico tools and further estimated their diagnostic predictability by calculating positive predictive values (PPV). Results A total of 217 significantly associated studies comprising 1200 variants across 545 genes and 128 studies including 921 variants across 412 genes were included with MDD susceptibility and antidepressant response, respectively. Although, majority of associations were confirmed by single study, we identified 31 and 18 replicated variants (in atleast 2 studies) for MDD and antidepressant response. Functional annotation of these 31 variants predicted 20% coding variants as deleterious/damaging and 80.6% variants with regulatory effect. Similarly, for the response-related 18 variants revealed 25% coding variant as damaging and 88.2% with substantial regulatory potential. Finally, we could calculate the diagnostic predictability of 19 and 5 variants whose PPV ranges between 0.49 to 0.66 for MDD and 0.36 to 0.66 for response. Conclusions The replicated variants presented in our data are promising for disease diagnosis and improve response outcomes. Though, these quantitative assessment measures are solely directive of available observational evidence, robust homogenous validation studies are required to strengthen these variants for molecular diagnostic application.

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Genome-Wide Association Studies in Pharmacogenomics of Antidepressants

Lin

Lane

2015

Pharmacogenomics

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Major depressive disorder (MDD) is one of the most common psychiatric disorders worldwide. Doctors must prescribe antidepressants based on educated guesses due to the fact that it is unmanageable to predict the effectiveness of any particular antidepressant in an individual patient. With the recent advent of scientific research, the genome-wide association study (GWAS) is extensively employed to analyze hundreds of thousands of single nucleotide polymorphisms by high-throughput genotyping technologies. In addition to the candidate-gene approach, the GWAS approach has recently been utilized to investigate the determinants of antidepressant response to therapy. In this study, we reviewed GWAS studies, their limitations and future directions with respect to the pharmacogenomics of antidepressants in MDD.

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Further evidence of an association between a genetic variant in BMP7 and treatment response to SSRIs in major depressive disorder

Cited by 3 publications

References 7 publications

Integrated analysis profiles of long non–coding RNAs reveal potential biomarkers across brain regions in post–traumatic stress disorder

Integrated analysis profiles of long non–coding RNAs reveal potential biomarkers across brain regions in post–traumatic stress disorder

Genetic Landscape of Major Depressive Disorder: Assessment of Potential Diagnostic and Antidepressant Response Markers

Genome-Wide Association Studies in Pharmacogenomics of Antidepressants

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