Correlation between variants of the CREB1 and GRM7 genes and risk of depression

Wang, Li; Tang, Xingming; Liang, Peng; Zhou, Chuan; Sun, Yingjie; Liang, Yundan

doi:10.1186/s12888-022-04458-1

Cited by 4 publications

(5 citation statements)

References 40 publications

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“…[758] and CREB1 [759] were involved in depression. ERBB3 [82], EGFR (epidermal growth factor receptor) [100], NEDD4L [95] and SREBF1 [760] regulated the pathogenesis of hypertension.…”

Section: Discussionmentioning

confidence: 99%

“…ERBB3 [340], TGM2 [319], EGFR (epidermal growth factor receptor) [367], DCLK1 [366], SMAD4 [755], SREBF1 [756] and CREB1 [757] participated in the regulation of schizophrenia. ERBB3 [391], MAP1B [410], EGFR (epidermal growth factor receptor) [406], NEDD4L [401], hsa-mir-21-5p [758] and CREB1 [759] were involved in depression. ERBB3 [82], EGFR (epidermal growth factor receptor) [100], NEDD4L [95] and SREBF1 [760] regulated the pathogenesis of hypertension.…”

Section: Discussionmentioning

confidence: 99%

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Identification of key genes and signaling pathway in the pathogenesis of Huntington's disease via bioinformatics and next generation sequencing data analysis

Vastrad,

Vastrad

2024

Preprint

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Huntington's disease (HD) is the primary cause of progressive motor deficits, psychiatric symptoms, and cognitive impairment. The exact molecular mechanisms of HD pathogenesis are largely unknown. This investigation aims to identify the hub genes, miRNA and TFs in HD and explore their potential molecular regulatory network. Next generation sequencing (NGS) dataset (GSE105041) was extracted from the Gene Expression Omnibus (GEO) database. An integrated bioinformatics pipeline including identification of differentially expressed genes (DEGs), Gene ontology and REACTOME pathway enrichment analysis, protein-protein interaction (PPI) network and module analysis, miRNA-hub gene regulatory network analysis and TF-hub gene regulatory network analysis, and receiver operating characteristic curve (ROC) analysis were applied to identify hub genes, miRNA and TFs, and key drivers of HD pathogenesis. We identified 958 DEGs in the discovery phase, consisting of 479 up regulated genes and 479 down regulated genes. GO and REACTOME enrichment analyses of the 479 up regulated genes and 479 down regulated genes showed that they were mainly involved in multicellular organismal process, developmental process, signaling by GPCR and MHC class II antigen presentation. Further analysis of the PPI network using Cytoscape and PEWCC plugins identified 10 hub genes, including LRRK2, MTUS2, HOXA1, IL7R, ERBB3, EGFR, TEX101, WDR76, NEDD4L and COMT. Possible target miRNAs and TFs, including hsa-mir-1292-5p, hsa-mir-4521, ESRRB and SREBF1, were predicted by constructing a miRNA-hub gene regulatory network analysis and TF-hub gene regulatory network. This investigation used bioinformatics methods to explore the molecular pathogenesis of HD, and identified potential molecular markers. These molecular markers might provide novel ideas and methods for the early diagnosis, treatment, and monitoring of HD.

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“…[758] and CREB1 [759] were involved in depression. ERBB3 [82], EGFR (epidermal growth factor receptor) [100], NEDD4L [95] and SREBF1 [760] regulated the pathogenesis of hypertension.…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Identification of key genes and signaling pathway in the pathogenesis of Huntington's disease via bioinformatics and next generation sequencing data analysis

Vastrad,

Vastrad

2024

Preprint

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“…Healthy controls were randomly selected from individuals who participated in health checkups during the same period. Clinical data regarding the patient’s age, sex, pulse rate, age of onset, suicide attempt, whether the patient was the first episode, and family history were all derived from the medical record, which has been described in detail in our previous studies [ 23 , 24 ]. The exclusion criteria for healthy controls were the same as for patients, and the mean age (206 men, 335 women) was 50 ± 18.1 years (Table 1 ).…”

Section: Methodsmentioning

confidence: 99%

Association between Mir-17-92 gene promoter polymorphisms and depression in a Chinese population

Liang,

Yang,

Long

et al. 2024

BMC Med Genomics

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Background Depression is a common chronic debilitating disease with a heavy social burden. single nucleotide polymorphisms (SNPs) can affect the function of microRNAs (miRNAs), which is in turn associated with neurological diseases. However, the association between SNPs located in the promoter region of miR-17-92 and the risk of depression remains unclear. Therefore, we investigated the association between rs982873, rs9588884 and rs1813389 polymorphisms in the promoter region of miR-17-92 and the incidence of depression in a Chinese population. Methods we used GWAS (Genome-wide association study) and NCBI (National Center for Biotechnology Information) to screen three SNPs in the miR-17-92 cluster binding sites. A case-control study (including 555 cases and 541 controls) was conducted to investigate the relationship between the SNPs and risk of depression in different regions of China. The gene sequencing ii was used to genotype the collected blood samples. Results the following genotypes were significantly associated with a reduced risk of depression: rs982873 TC (TC vs. TT: OR = 0.72, 95% CI, 0.54–0.96, P = 0.024; TC/CC vs. TT: OR = 0.74, 95% Cl, 0.56–0.96, P = 0.025); CG genotype of rs9588884 (CG vs. CC: OR = 0.74, 95% CI, 0.55–0.98, P = 0.033; CG/GG vs. CC: OR = 0.75, 95% Cl, 0.57–0.98, P = 0.036); and AG genotype of rs1813389 (AG vs. AA: OR = 0.75, 95% CI, 0.57-1.00, P = 0.049; AG/GG vs. AA: OR = 0.76, 95% Cl, 0.59-1.00, P = 0.047). Stratified analysis showed that there was no significant correlation between the three SNPS and variables such as family history of suicidal tendency (P > 0.05). Conclusions our findings suggest that rs982873, rs9588884, and rs1813389 polymorphisms may be associated with protective factors for depression.

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“…When the RG value was set to 1.6, the genetic power of the four SNPS was greater than 80% under a dominant model. 16 …”

Section: Methodsmentioning

confidence: 99%

Association Between Single Nucleotide Polymorphisms Within lncRNA NONHSAT102891 and Depression Susceptibility in a Chinese Population

Liang

Sun

et al. 2023

NDT

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Background Depression is among the most common psychiatric disorders, and is a leading cause of the global disease burden. Its pathophysiological mechanism is unclear, which limits the development of therapeutic strategies. Long non-coding RNA (lncRNA) single nucleotide polymorphisms (SNPS) may be related. In this study, we aimed to determine the effects of the rs2242385, rs155979, rs3762983, and rs3762984 polymorphisms in the lncRNA NONHSAT102891 on depression susceptibility in a Chinese population. Methods We conducted a case-control study in a cohort of 480 patients with depression and 329 healthy controls, and performed genotyping by gene sequencing ii. Results The rs155979 GC genotype was significantly associated with increased risk of depression compared with healthy controls. Stratified analysis showed a 2.08-fold increased risk of suicide in patients with rs155979 GC or GG genotype. The rs2242385, rs3762983, and rs3762984 polymorphisms were not significantly associated with the risk of depression. Haploid analysis showed linkage disequilibrium between rs155979, rs3762983, and rs3762984, and the CCG haplotype reduced the risk of depression. Limitations The study sample was relatively small, and was restricted to patients from central and southern China. Further, only peripheral blood was used for DNA extraction. Conclusion The rs155979 polymorphism may be associated with the occurrence of depression in the Chinese population. However, further studies are needed to verify the reliability of our results in large populations and different ethnic groups.

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Correlation between variants of the CREB1 and GRM7 genes and risk of depression

Cited by 4 publications

References 40 publications

Identification of key genes and signaling pathway in the pathogenesis of Huntington's disease via bioinformatics and next generation sequencing data analysis

Identification of key genes and signaling pathway in the pathogenesis of Huntington's disease via bioinformatics and next generation sequencing data analysis

Association between Mir-17-92 gene promoter polymorphisms and depression in a Chinese population

Association Between Single Nucleotide Polymorphisms Within lncRNA NONHSAT102891 and Depression Susceptibility in a Chinese Population

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