ArticleMolecular therapy. Nucleic acids2018
Implications of Newly Identified Brain eQTL Genes and Their Interactors in Schizophrenia.
Article in Molecular therapy. Nucleic acids, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 80 citations in OpenAlex.
- Co-expression-based models improve eQTL predictions for transcriptome-wide association studies and highlight new schizophrenia-associated genes.Nature genetics · 2026Article
- Common Genomic and Proteomic Alterations Related to Disturbed Neural Oscillatory Activity in Schizophrenia.International journal of molecular sciences · 2025Review
- Revealing the Oxidative Stress-Related Molecular Characteristics and Potential Therapeutic Targets of Schizophrenia through Integrated Gene Expression Data Analysis.Molecular neurobiology · 2025Article
- Endophenotype 2.0: updated definitions and criteria for endophenotypes of psychiatric disorders, incorporating new technologies and findings.Translational psychiatry · 2024Review
- DeepGAMI: deep biologically guided auxiliary learning for multimodal integration and imputation to improve genotype-phenotype prediction.Genome medicine · 2023Article
- ERVW-1 Activates ATF6-Mediated Unfolded Protein Response by Decreasing GANAB in Recent-Onset Schizophrenia.Viruses · 2023Article
- Evidence that the pituitary gland connects type 2 diabetes mellitus and schizophrenia based on large-scale trans-ethnic genetic analyses.Journal of translational medicine · 2022Article
- Integrative Analyses of Transcriptomes to Explore Common Molecular Effects of Antipsychotic Drugs.International journal of molecular sciences · 2022Article
- Inflammation and immunity connect hypertension with adverse COVID-19 outcomes.Frontiers in genetics · 2022Article
- A New Strategy for Identification of Coal Miners With Abnormal Physical Signs Based on EN-mRMR.Frontiers in bioengineering and biotechnology · 2022Article
- XGBG: A Novel Method for Identifying Ovarian Carcinoma Susceptible Genes Based on Deep Learning.Frontiers in oncology · 2022Article
- Ankyrins and neurological disease.Current opinion in neurobiology · 2021Review
- iSUMOK-PseAAC: prediction of lysine sumoylation sites using statistical moments and Chou's PseAAC.PeerJ · 2021Article
- Polymorphism in the 3'-UTR of LIF but Not in the ATF6B Gene Associates with Schizophrenia Susceptibility: a Case-Control Study and In Silico Analyses.Journal of molecular neuroscience : MN · 2020Article
- TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings.BMC medical genomics · 2020Article
- Dysregulation of peripheral expression of the YWHA genes during conversion to psychosis.Scientific reports · 2020Article
- Identifying common genome-wide risk genes for major psychiatric traits.Human genetics · 2020Article
- The Methylation Pattern for Knee and Hip Osteoarthritis.Frontiers in cell and developmental biology · 2020Article
- iN6-methylat (5-step): identifying DNA NMolecular genetics and genomics : MGG · 2019Article
- Identifying Methylation Pattern and Genes Associated with Breast Cancer Subtypes.International journal of molecular sciences · 2019Article
Corrections and comments
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Authors and funding
8 authors at 6 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Schizophrenia (SCZ) is a devastating genetic mental disorder. Identification of the SCZ risk genes in brains is helpful to understand this disease. Thus, we first used the minimum Redundancy-Maximum Relevance (mRMR) approach to integrate the genome-wide sequence analysis results on SCZ and the expression quantitative trait locus (eQTL) data from ten brain tissues to identify the genes related to SCZ. Second, we adopted the variance inflation factor regression algorithm to identify their interacting genes in brains. Third, using multiple analysis methods, we explored and validated their roles. By means of the aforementioned procedures, we have found that (1) the cerebellum may play a crucial role in the pathogenesis of SCZ and (2) ITIH4 may be utilized as a clinical biomarker for the diagnosis of SCZ. These interesting findings may stimulate novel strategy for developing new drugs against SCZ. It has not escaped our notice that the approach reported here is of use for studying many other genome diseases as well.
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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.