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

Identification of novel proteins associated with movement-related adverse antipsychotic effects by integrating GWAS data and human brain proteomes.

Psychiatry research - 1 Nov 2022

Li Jiqing, Pang Jicheng, Si Shucheng, Zhang Kai, Tang Fang, Xue Fuzhong

Abstract excerpt

Genome-wide association studies (GWAS) have identified some variants for movement-related adverse antipsychotic effects (MAAE), while how these variants confer MAAE remains unclear. We used the probabilistic Mendelian randomization (PMR) method to identify candidate proteins for MAAE by integrating MAAE GWASs and protein quantitative trait loci (pQTL) data. An independent pQTL data from the Banner project and...

Read the complete abstract on PubMed

Topics

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

Share to Antipsychotic Agents
Share to Brain

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Dyskinesia, Drug-Induced

Share to Genome-Wide Association Study

Share to Mendelian Randomization Analysis

Share to Parkinson Disease

Share to Proteome

Share to Quantitative Trait Loci

Source

Identifiers

PMID: 36030699
DOI: 10.1016/j.psychres.2022.114791

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

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

Identification of novel proteins associated with movement-related adverse antipsychotic effects by integrating GWAS data and human brain proteomes.PMID 36030699Read ↗

Brain Proteome-Wide and Transcriptome-Wide Asso-ciation Studies, Bayesian Colocalization, and Mendelian Randomization Analyses Reveal Causal Genes of Parkinson's Disease.Semantic proximity Read ↗

Improving pharmacogenetic prediction of extrapyramidal symptoms induced by antipsychoticsSemantic proximity Read ↗

Mendelian Randomization Using the Druggable Genome Reveals Genetically Supported Drug Targets for Psychiatric Disorders.Semantic proximity Read ↗

Characterizing the Causal Pathway for Genetic Variants Associated with Neurological Phenotypes Using Human Brain-Derived Proteome Data.Semantic proximity Read ↗

A network-based systems genetics framework identifies pathobiology and drug repurposing in Parkinson’s diseaseSemantic proximity Read ↗

Shared mechanisms across the major psychiatric and neurodegenerative diseases.Semantic proximity Read ↗

Multi-Omics Integration Analysis Pinpoint Proteins Influencing Brain Structure and Function: Toward Drug Targets and Neuroimaging Biomarkers for Neuropsychiatric Disorders.Semantic proximity Read ↗

Identifying key transcription factors for pharmacogenetic studies of antipsychotics induced extrapyramidal symptoms.Semantic proximity Read ↗

Integrating plasma circulating protein-centered multi-omics to identify potential therapeutic targets for Parkinsonian cognitive disordersSemantic proximity Read ↗

Identifying drug targets for neurological and psychiatric disease via genetics and the brain transcriptome.Semantic proximity Read ↗

Finding genetically-supported drug targets for Parkinson's disease using Mendelian randomization of the druggable genome.Semantic proximity Read ↗

Unraveling NEK4 as a Potential Drug Target in Schizophrenia and Bipolar I Disorder: A Proteomic and Genomic ApproachSemantic proximity Read ↗

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