ReviewJournal of affective disorders2022
The genetics of bipolar disorder with obesity and type 2 diabetes.
Review in Journal of affective disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 20 citations in OpenAlex.
- Structural and functional features of treatment-resistant depression: A systematic review and exploratory coordinate-based meta-analysis of neuroimaging studies.Psychiatry and clinical neurosciences · 2023Pooled it
- Brain gyrification in bipolar disorder: a systematic review of neuroimaging studies.Brain imaging and behavior · 2022Pooled it
- Unhealthy diet quality as a clinical phenotype in bipolar disorder: A potential treatment target for improved mood and metabolic outcomes.Journal of affective disorders · 2026Article
- Computational Modeling of PI3K/AKT Pathway in Bipolar Disorder and Type 2 Diabetes: Implications for Lithium Treatment and Curcumin as a Potential Alternative.International journal of molecular sciences · 2025Article
- A pancreas-hippocampus feedback mechanism regulates circadian changes in depression-related behaviors.Nature neuroscience · 2025Article
- Gain of bipolar disorder-related lncRNA AP1AR-DT in mice induces depressive and anxiety-like behaviors by reducing Negr1-mediated excitatory synaptic transmission.BMC medicine · 2024Article
- Clinical and genetic contributions to medical comorbidity in bipolar disorder: a study using electronic health records-linked biobank data.Molecular psychiatry · 2024Article
- Prediction of medical admissions after psychiatric inpatient hospitalization in bipolar disorder: a retrospective cohort study.Frontiers in psychiatry · 2024Article
- Chronotype and Cardiometabolic Parameters in Patients with Bipolar Disorder: Preliminary Findings.Journal of clinical medicine · 2023Article
- Causal effects of gut microbiota on the risk of bipolar disorder: a Mendelian randomization study.Frontiers in microbiomes · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 7 institutions in 4 countries.
Funding
Abstract
backgroundBipolar disorder (BD) presents with high obesity and type 2 diabetes (T2D) and pathophysiological and phenomenological abnormalities shared with cardiometabolic disorders. Genomic studies may help define if they share genetic liability. This selective review of BD with obesity and T2D will focus on genomic studies, stress their current limitations and guide future steps in developing the field.
methodsWe searched electronic databases (PubMed, Scopus) until December 2021 to identify genome-wide association studies, polygenic risk score analyses, and functional genomics of BD accounting for body mass index (BMI), obesity, or T2D.
resultsThe first genome-wide association studies (GWAS) of BD accounting for obesity found a promising genome-wide association in an intronic gene variant of TCF7L2 that was further replicated. Polygenic risk scores of obesity and T2D have also been associated with BD, yet, no genetic correlations have been demonstrated. Finally, human-induced stem cell studies of the intronic variant in TCF7L2 show a potential biological impact of the products of this genetic variant in BD risk. LIMITATIONS: The narrative nature of this review.
conclusionsFindings from BD GWAS accounting for obesity and their functional testing, have prompted potential biological insights. Yet, BD, obesity, and T2D display high phenotypic, genetic, and population-related heterogeneity, limiting our ability to detect genetic associations. Further studies should refine cardiometabolic phenotypes, test gene-environmental interactions and add population diversity.
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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.