ArticlePsychiatry research2023
Polygenic overlap with body-mass index improves prediction of treatment-resistant schizophrenia.
Article in Psychiatry research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- Pharmacogenomic scores in psychiatry: systematic review of current evidence.Translational psychiatry · 2024Pooled it
- Genetic overlap between treatment-resistant schizophrenia and smoking initiation.The international journal of neuropsychopharmacology · 2026Article
- Genetic evidence for causal relationship between general cognition and treatment resistance in schizophrenia.Translational psychiatry · 2026Article
- A scoping review of genetic studies of treatment-resistant schizophrenia.Frontiers in genetics · 2026Review
- Adverse childhood experiences, psychological distress, and the role of locus of control.Frontiers in epidemiology · 2026Article
- Genomic relationship between polycystic ovary syndrome and bipolar disorder.Research square · 2025Article
- Pathway-Specific Polygenic Scores for Predicting Clinical Lithium Treatment Response in Patients With Bipolar Disorder.Biological psychiatry global open science · 2025Article
- A stratified treatment algorithm in psychiatry: a program on stratified pharmacogenomics in severe mental illness (Psych-STRATA): concept, objectives and methodologies of a multidisciplinary project funded by Horizon Europe.European archives of psychiatry and clinical neuroscience · 2025Article
- Polygenic overlap with granulocyte counts identifies novel loci for clozapine metabolism and clozapine-induced agranulocytosis.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2025Article
- Cardiomyocyte-derived exosomes carrying miR-181a-5p facilitate heart-brain crosstalk and exacerbate methamphetamine dependence in rats.Frontiers in pharmacology · 2025Article
- How Real-World Data Can Facilitate the Development of Precision Medicine Treatment in Psychiatry.Biological psychiatry · 2024Review
- Macrod1 suppresses diabetic cardiomyopathy via regulating PARP1-NADActa pharmacologica Sinica · 2024Article
- Biomarkers of treatment-resistant schizophrenia: A systematic review.Neuroscience applied · 2024Article
Corrections and comments
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Authors and funding
16 authors at 3 institutions in 3 countries.
Funding
Abstract
Treatment resistant schizophrenia (TRS) is characterized by repeated treatment failure with antipsychotics. A recent genome-wide association study (GWAS) of TRS showed a polygenic architecture, but no significant loci were identified. Clozapine is shown to be the superior drug in terms of clinical effect in TRS; at the same time it has a serious side effect profile, including weight gain. Here, we sought to increase power for genetic discovery and improve polygenic prediction of TRS, by leveraging genetic overlap with Body Mass Index (BMI). We analysed GWAS summary statistics for TRS and BMI applying the conditional false discovery rate (cFDR) framework. We observed cross-trait polygenic enrichment for TRS conditioned on associations with BMI. Leveraging this cross-trait enrichment, we identified 2 novel loci for TRS at cFDR <0.01, suggesting a role of MAP2K1 and ZDBF2. Further, polygenic prediction based on the cFDR analysis explained more variance in TRS when compared to the standard TRS GWAS. These findings highlight putative molecular pathways which may distinguish TRS patients from treatment responsive patients. Moreover, these findings confirm that shared genetic mechanisms influence both TRS and BMI and provide new insights into the biological underpinnings of metabolic dysfunction and antipsychotic treatment.
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Registered trials
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.