ArticleNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2019
The role of polygenic risk score gene-set analysis in the context of the omnigenic model of schizophrenia.
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 21 papers.
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Who cites it
21 citing papers in PubMed.
- Exploring the genetic overlap between substance use disorder and educational attainment.Addiction (Abingdon, England) · 2026Article
- Biological underpinnings and genetic predisposition to schizophrenia within microrna-137 regulatory pathways across brain development.Translational psychiatry · 2026Article
- Altered immune and inflammatory gene expression in prefrontal cortex of antipsychotic-free schizophrenia subjects.Brain, behavior, & immunity - health · 2025Article
- Discovering functional interactions among schizophrenia-risk genes by combining behavioral genetics with cell biology.Neuroscience and biobehavioral reviews · 2024Review
- Article
- Cell-type-specific Alzheimer's disease polygenic risk scores are associated with distinct disease processes in Alzheimer's disease.Nature communications · 2023Article
- Psychosis Endophenotypes: A Gene-Set-Specific Polygenic Risk Score Analysis.Schizophrenia bulletin · 2023Article
- AI-based analysis of social media language predicts addiction treatment dropout at 90 days.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023Article
- Recent natural selection conferred protection against schizophrenia by non-antagonistic pleiotropy.Scientific reports · 2023Article
- Implementing Core Genes and an Omnigenic Model for Behaviour Traits Prediction in Genomics.Genes · 2023Review
- Identification of schizophrenia symptom-related gene modules by postmortem brain transcriptome analysis.Translational psychiatry · 2023Article
- Polygenic risk score association with multiple sclerosis susceptibility and phenotype in Europeans.Brain : a journal of neurology · 2023Article
- The neural signatures of psychoses in Alzheimer's disease: a neuroimaging genetics approach.European archives of psychiatry and clinical neuroscience · 2023Article
- Multi-omics peripheral and core regions of cancer.NPJ systems biology and applications · 2022Article
- Predicting mortality among ischemic stroke patients using pathways-derived polygenic risk scores.Scientific reports · 2022Article
- Computational Models for Clinical Applications in Personalized Medicine-Guidelines and Recommendations for Data Integration and Model Validation.Journal of personalized medicine · 2022Review
- Polygenic contribution to the relationship of loneliness and social isolation with schizophrenia.Nature communications · 2022Article
- Sensitive period-regulating genetic pathways and exposure to adversity shape risk for depression.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022Article
- The genetic determinants of language network dysconnectivity in drug-naïve early stage schizophrenia.NPJ schizophrenia · 2021Article
- Electronic health records and polygenic risk scores for predicting disease risk.Nature reviews. Genetics · 2020Review
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Authors and funding
6 authors.
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Abstract
A recent development in the genetic architecture of schizophrenia suggested that an omnigenic model may underlie the risk for this disorder. The aim of our study was to use polygenic profile scoring to quantitatively assess whether a number of experimentally derived sets would contribute to the disorder above and beyond the omnigenic effect. Using the PGC2 secondary analysis schizophrenia case-control cohort (N = 29,125 cases and 34,836 controls), a robust polygenic signal was observed from gene sets based on TCF4, FMR1, upregulation from MIR137 and downregulation from CHD8. Additional analyses revealed a constant floor effect in the amount of variance explained, consistent with the omnigenic model. Thus, we report that putative core gene sets showed a significant effect above and beyond the floor effect that might be linked with the underlying omnigenic background. In addition, we demonstrate a method to quantify the contribution of specific gene sets within the omnigenic context.
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