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Genetic differences between bipolar disorder subtypes: A systematic review focused in bipolar disorder type II.
Almeida, Hugo Sérgio; Mitjans, Marina; Arias, Barbara; Vieta, Eduard; Ríos, José; Benabarre, Antonio.
Affiliation
  • Almeida HS; Magalhães Lemos Hospital EPE, Rua Professor Álvaro Rodrigues, 4149-003, Porto, Portugal; Neurosciences Department, Faculty of Medicine of the University of Porto, Alameda Prof. Hernâni Monteiro, 4200 - 319, Porto, Portugal.
  • Mitjans M; Departament Biologia Evolutiva, Ecologia i Ciències Ambientals, Facultat de Biologia, Institut de Biomedicina de la Universitat de Barcelona (IBUB), Universitat de Barcelona, CIBERSAM, Barcelona, Spain.
  • Arias B; Departament Biologia Evolutiva, Ecologia i Ciències Ambientals, Facultat de Biologia, Institut de Biomedicina de la Universitat de Barcelona (IBUB), Universitat de Barcelona, CIBERSAM, Barcelona, Spain.
  • Vieta E; Bipolar Disorders and Depressive Unit, Institute of Neuroscience, Hospital Clínic, University of Barcelona, iDiBAPS, CiBERSAM, Barcelona, Catalonia, Spain. Electronic address: evieta@clinic.cat.
  • Ríos J; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS) - Hospital Clínic de Barcelona, Barcelona, Spain.
  • Benabarre A; Bipolar Disorders and Depressive Unit, Institute of Neuroscience, Hospital Clínic, University of Barcelona, iDiBAPS, CiBERSAM, Barcelona, Catalonia, Spain.
Neurosci Biobehav Rev ; 118: 623-630, 2020 11.
Article in En | MEDLINE | ID: mdl-32755611
BACKGROUND: The identification of bipolar disorder (BD) type II patients has both treatment and prognostic implications. Better understanding of its underlying genetics may yield useful diagnostic tools. METHODS: A systematic review on BDII genetics was done using articles published in 2009-2019, following PRISMA recommendations. RESULTS: The most studied polymorphism was BDNF Val66Met with several gene-gene interactions within the dopaminergic system. Associations were reported within the monoaminergic systems (DRD3, ADH1B and SLC6A4), calcium (CACNB2 and CACNG2) and cAMP (PDE1DA, PDE4B and DISC1) signal transduction pathways and the immune system (TNFα, IFNδ and IL-10). Chromosomes 2, 3 and 10 were associated with BDII and polygenic risk scores distinguished between BD subtypes and with major depressive disorder. CONCLUSIONS: Research on BDII stems from BDI findings, however with a stronger contribution of gene-gene interactions and low-effect alleles on known neuroplasticity and monoaminergic system genes. Genome studies point to transdiagnostic backgrounds, with wider associations across bipolar spectrum disorders. Findings able to accurately differentiate BDII remain elusive, dependent on better phenotypic characterization and new research methods.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bipolar Disorder / Depressive Disorder, Major Type of study: Guideline / Prognostic_studies / Systematic_reviews Limits: Humans Language: En Journal: Neurosci Biobehav Rev Year: 2020 Document type: Article Affiliation country: Portugal Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bipolar Disorder / Depressive Disorder, Major Type of study: Guideline / Prognostic_studies / Systematic_reviews Limits: Humans Language: En Journal: Neurosci Biobehav Rev Year: 2020 Document type: Article Affiliation country: Portugal Country of publication: United States