Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Mendelian randomization integrating GWAS and eQTL data revealed genes pleiotropically associated with major depressive disorder.

Translational psychiatry - 17 Apr 2021

Yang Huarong, Liu Di, Zhao Chuntao, Feng Bowen, Lu Wenjin, Yang Xiaohan, Xu Minglu, Zhou Weizhu, Jing Huiquan, Yang Jingyun

Abstract excerpt

Previous genome-wide association studies (GWAS) have identified potential genetic variants associated with the risk of major depressive disorder (MDD), but the underlying biological interpretation remains largely unknown. We aimed to prioritize genes that were pleiotropically or potentially causally associated with MDD. We applied the summary data-based Mendelian randomization (SMR) method integrating GWAS and...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Depressive Disorder, Major
Share to Genetic Predisposition to Disease

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome-Wide Association Study

Share to Mendelian Randomization Analysis

Share to Polymorphism, Single Nucleotide

Share to Quantitative Trait Loci

Source

Open in PubMed Open full text

Identifiers

PMID: 33866329
DOI: 10.1038/s41398-021-01348-0
PMCID: PMC8053199

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Mendelian randomization integrating GWAS and eQTL data revealed genes pleiotropically associated with major depressive disorder.PMID 33866329Read ↗

Mendelian randomization integrating GWAS and eQTL data revealed genes pleiotropically associated with major depressive disorderSemantic proximity Read ↗

Integrating genome-wide association study and expression quantitative trait loci data identifies NEGR1 as a causal risk gene of major depression disorder.Semantic proximity Read ↗

Integrating Multi-Omics Summary Data Identifies Candidate Molecular Mechanisms for Major Depression.Semantic proximity Read ↗

Relationship between major depressive disorder and myalgic encephalomyelitis/chronic fatigue syndrome: a two-sample mendelian randomization study analysis.Semantic proximity Read ↗

Transcriptome-wide association study identifies new susceptibility genes and pathways for depression.Semantic proximity Read ↗

Druggable genome-wide Mendelian randomization for identifying the role of integrated stress response in therapeutic targets of bipolar disorder.Semantic proximity Read ↗

Identifying causal genes for depression via integration of the proteome and transcriptome from brain and blood.Semantic proximity Read ↗

Predicting gene targets from integrative analyses of summary data from GWAS and eQTL studies for 28 human complex traits.Semantic proximity Read ↗

Systematic comparative analysis of Mendelian randomization methods for inferring causal genes of complex phenotypes and the application to psychiatric diseasesSemantic proximity Read ↗

Mendelian Randomization integrating GWAS and eQTL data reveals genetic determinants of complex and clinical traitsSemantic proximity Read ↗

Peripheral PDCD4 Expression Links to T-Cell Immune Dysregulation in Major Depressive Disorder: Integrated Multi- Cohort Transcriptomic AnalysisSemantic proximity Read ↗

Overlapping common genetic architecture between major depressive disorders and anxiety and stress-related disorders.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.