ArticleClinical epigenetics2020
meQTL and ncRNA functional analyses of 102 GWAS-SNPs associated with depression implicate HACE1 and SHANK2 genes.
Article in Clinical epigenetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.
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Who cites it
22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 35 citations in OpenAlex.
- Gene-based association analysis of depression risk among European ancestry Parkinson's disease patients.Human genetics · 2026Pooled it
- Epigenetic mechanisms affected by stress during adolescence and the increased risk for depression later in life: a systematic review.Molecular psychiatry · 2026Pooled it
- Downregulation of the lncRNA PGM5P4-AS1 predicts poor prognosis and drives breast cancer progression through miR-3664-5p/KLF9.Cancer biology & therapy · 2026Article
- Maternal antenatal depression and offspring DNA methylation.Journal of affective disorders · 2026Article
- Metabolic Mechanisms in Electroconvulsive Therapy for Schizophrenia: Role, Potential and Future Directions.International journal of molecular sciences · 2026Review
- Optimization of potential targets for antidepressant Chinese medicines: AI and multi-omics methods.Chinese medicine · 2026Review
- Inflammation-induced impairment of synaptic plasticity accelerates atherosclerosis co-depression disease: insights from bioinformatics analysis and transcriptomics.Cell & bioscience · 2026Article
- Article
- Associations between antagonistic SNPs for neuropsychiatric disorders and human brain structure.Translational psychiatry · 2024Article
- Methylation in MAD1L1 is associated with the severity of suicide attempt and phenotypes of depression.Clinical epigenetics · 2023Article
- Endo-Lysosomal and Autophagy Pathway and Ubiquitin-Proteasome System in Mood Disorders: A Review Article.Neuropsychiatric disease and treatment · 2023Review
- The Wistar Kyoto Rat: A Model of Depression Traits.Current neuropharmacology · 2023Article
- Methylation and expression quantitative trait locus rs6296 in the HTR1B gene is associated with susceptibility to opioid use disorder.Psychopharmacology · 2022Article
- Challenges in Analyzing Functional Epigenetic Data in Perspective of Adolescent Psychiatric Health.International journal of molecular sciences · 2022Review
- Expression Quantitative Trait Locus rs6356 Is Associated with Susceptibility to Heroin Addiction by Potentially Influencing TH Gene Expression in the Hippocampus and Nucleus Accumbens.Journal of molecular neuroscience : MN · 2022Article
- From genetics to systems biology of stress-related mental disorders.Neurobiology of stress · 2021Article
- Oxidative Stress Markers and Antioxidant Enzymes in Children and Adolescents with Depressive Disorder and Impact of Omega-3 Fatty Acids in Randomised Clinical Trial.Antioxidants (Basel, Switzerland) · 2021Article
- Using "-omics" Data to Inform Genome-wide Association Studies (GWASs) in the Osteoporosis Field.Current osteoporosis reports · 2021Review
- Transcriptional-regulatory convergence across functional MDD risk variants identified by massively parallel reporter assays.Translational psychiatry · 2021Article
- The role of epigenetics in psychological resilience.The lancet. Psychiatry · 2021Review
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Authors and funding
7 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLittle is known about how genetics and epigenetics interplay in depression. Evidence suggests that genetic variants may change vulnerability to depression by modulating DNA methylation (DNAm) and non-coding RNA (ncRNA) levels. Therefore, the aim of the study was to investigate the effect of the genetic variation, previously identified in the largest genome-wide association study for depression, on proximal DNAm and ncRNA levels.
resultsWe performed DNAm quantitative trait locus (meQTL) analysis in two independent cohorts (total n = 435 healthy individuals), testing associations between 102 single-nucleotide polymorphisms (SNPs) and DNAm levels in whole blood. We identified and replicated 64 SNP-CpG pairs (p
conclusionsCollectively, our findings from a multi-tissue (blood and brain) and multi-layered (genetic, epigenetic, transcriptomic) approach suggest that genetic factors may influence depression by modulating DNAm and miRNA levels. Alterations at HACE1 and SHANK2 loci imply potential mechanisms, such as oxidative stress in the brain, underlying depression. Our results deepened the knowledge of molecular mechanisms in depression and suggest new epigenetic targets that should be further evaluated.
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