ArticleNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2019
Integration of GWAS and brain eQTL identifies FLOT1 as a risk gene for major depressive disorder.
Article in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.
- Biomarkers and pathways in autism spectrum disorder: An individual meta-analysis based on proteomic and metabolomic data.European archives of psychiatry and clinical neuroscience · 2025Pooled it
- Integrating Multi-Omics Summary Data Identifies Candidate Molecular Mechanisms for Major Depression.Biological psychiatry · 2026Article
- Artificial intelligence as decision support for adolescent depression and anxiety: a mini review of clinical utility, safety, and implementation.Frontiers in psychiatry · 2026Review
- Incorporating genetic similarity of auxiliary samples into eGene identification under the transfer learning framework.Journal of translational medicine · 2024Article
- The roles of FLOT1 in human diseases (Review).Molecular medicine reports · 2023Review
- Whole-genome sequencing analysis of suicide deaths integrating brain-regulatory eQTLs data to identify risk loci and genes.Molecular psychiatry · 2023Article
- Identification ofComputational and structural biotechnology journal · 2023Article
- Functional Genomics Analysis to Disentangle the Role of Genetic Variants in Major Depression.Genes · 2022Article
- Benchmarking post-GWAS analysis tools in major depression: Challenges and implications.Frontiers in genetics · 2022Article
- Biological, Psychological, and Social Determinants of Depression: A Review of Recent Literature.Brain sciences · 2021Review
- From genetics to systems biology of stress-related mental disorders.Neurobiology of stress · 2021Article
- A missense variant in NDUFA6 confers schizophrenia risk by affecting YY1 binding and NAGA expression.Molecular psychiatry · 2021Article
- Potential depression and antidepressant-response biomarkers in human lymphoblast cell lines from treatment-responsive and treatment-resistant subjects: roles of SSRIs and omega-3 polyunsaturated fatty acids.Molecular psychiatry · 2021Article
- Transcriptome-wide association study identifies new susceptibility genes and pathways for depression.Translational psychiatry · 2021Article
- Pharmacogenomics with red cells: a model to study protein variants of drug transporter genes.Vox sanguinis · 2021Review
- Multi-omics analyses of cognitive traits and psychiatric disorders highlights brain-dependent mechanisms.Human molecular genetics · 2021Article
- Serotonin Receptor and Transporter Endocytosis Is an Important Factor in the Cellular Basis of Depression and Anxiety.Frontiers in cellular neuroscience · 2021Article
- Integrated genomics analysis highlights important SNPs and genes implicated in moderate-to-severe asthma based on GWAS and eQTL datasets.BMC pulmonary medicine · 2020Article
- Integrative genomics analysis identifies five promising genes implicated in insomnia risk based on multiple omics datasets.Bioscience reports · 2020Article
- Integrative genomics analysis of various omics data and networks identify risk genes and variants vulnerable to childhood-onset asthma.BMC medical genomics · 2020Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Major depressive disorder (MDD) is the most prevalent mental disorder that affects more than 200 million people worldwide. Recent large-scale genome-wide association studies (GWAS) have identified multiple risk variants that show robust association with MDD. Nevertheless, how the identified risk variants confer risk of MDD remains largely unknown. To identify risk variants that are associated with gene expression in human brain and to identify genes whose expression change may contribute to the susceptibility of MDD, we systematically integrated the genetic associations from a large-scale MDD GWAS (N = 480,359) and brain expression quantitative trait loci (eQTL) data (N = 494) using a Bayesian statistical framework (Sherlock). Sherlock integrative analysis showed that FLOT1 was significantly associated with MDD (P = 6.02 × 10
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.