Literature DB >> 25858580

What is the impact of genome-wide supported risk variants for schizophrenia and bipolar disorder on brain structure and function? A systematic review.

R Gurung1, D P Prata2.   

Abstract

The powerful genome-wide association studies (GWAS) revealed common mutations that increase susceptibility for schizophrenia (SZ) and bipolar disorder (BD), but the vast majority were not known to be functional or associated with these illnesses. To help fill this gap, their impact on human brain structure and function has been examined. We systematically discuss this output to facilitate its timely integration in the psychosis research field; and encourage reflection for future research. Irrespective of imaging modality, studies addressing the effect of SZ/BD GWAS risk genes (ANK3, CACNA1C, MHC, TCF4, NRGN, DGKH, PBRM1, NCAN and ZNF804A) were included. Most GWAS risk variations were reported to affect neuroimaging phenotypes implicated in SZ/BD: white-matter integrity (ANK3 and ZNF804A), volume (CACNA1C and ZNF804A) and density (ZNF804A); grey-matter (CACNA1C, NRGN, TCF4 and ZNF804A) and ventricular (TCF4) volume; cortical folding (NCAN) and thickness (ZNF804A); regional activation during executive tasks (ANK3, CACNA1C, DGKH, NRGN and ZNF804A) and functional connectivity during executive tasks (CACNA1C and ZNF804A), facial affect recognition (CACNA1C and ZNF804A) and theory-of-mind (ZNF804A); but inconsistencies and non-replications also exist. Further efforts such as standardizing reporting and exploring complementary designs, are warranted to test the reproducibility of these early findings.

Entities:  

Keywords:  ANK3; CACNA1C; DGKH; DTI; MRI; NCAN; NRGN; TCF4; ZNF804A; bipolar disorder; genome-wide association; imaging genetics; intermediate phenotypes; neuroimaging; psychosis; review; schizophrenia

Mesh:

Substances:

Year:  2015        PMID: 25858580     DOI: 10.1017/S0033291715000537

Source DB:  PubMed          Journal:  Psychol Med        ISSN: 0033-2917            Impact factor:   7.723


  36 in total

Review 1.  Enhancing the Informativeness and Replicability of Imaging Genomics Studies.

Authors:  Cameron S Carter; Carrie E Bearden; Edward T Bullmore; Daniel H Geschwind; David C Glahn; Raquel E Gur; Andreas Meyer-Lindenberg; Daniel R Weinberger
Journal:  Biol Psychiatry       Date:  2016-08-20       Impact factor: 13.382

2.  Limited Evidence for Association of Genome-Wide Schizophrenia Risk Variants on Cortical Neuroimaging Phenotypes.

Authors:  Aristotle N Voineskos; Daniel Felsky; Anne L Wheeler; David J Rotenberg; Melissa Levesque; Sejal Patel; Philip R Szeszko; James L Kennedy; Todd Lencz; Anil K Malhotra
Journal:  Schizophr Bull       Date:  2015-12-27       Impact factor: 9.306

Review 3.  From Gene to Behavior: L-Type Calcium Channel Mechanisms Underlying Neuropsychiatric Symptoms.

Authors:  Zeeba D Kabir; Arlene Martínez-Rivera; Anjali M Rajadhyaksha
Journal:  Neurotherapeutics       Date:  2017-07       Impact factor: 7.620

4.  The effect of weight on mental health: New evidence using genetic IVs.

Authors:  Barton Willage
Journal:  J Health Econ       Date:  2017-11-23       Impact factor: 3.883

Review 5.  Human dermal fibroblasts in psychiatry research.

Authors:  S Kálmán; K A Garbett; Z Janka; K Mirnics
Journal:  Neuroscience       Date:  2016-02-09       Impact factor: 3.590

6.  Sex-specific hippocampal 5-hydroxymethylcytosine is disrupted in response to acute stress.

Authors:  Ligia A Papale; Sisi Li; Andy Madrid; Qi Zhang; Li Chen; Pankaj Chopra; Peng Jin; Sündüz Keleş; Reid S Alisch
Journal:  Neurobiol Dis       Date:  2016-08-26       Impact factor: 5.996

7.  Imaging genetics paradigms in depression research: Systematic review and meta-analysis.

Authors:  Lícia P Pereira; Cristiano A Köhler; Brendon Stubbs; Kamilla W Miskowiak; Gerwyn Morris; Bárbara P de Freitas; Trevor Thompson; Brisa S Fernandes; André R Brunoni; Michael Maes; Diego A Pizzagalli; André F Carvalho
Journal:  Prog Neuropsychopharmacol Biol Psychiatry       Date:  2018-05-17       Impact factor: 5.067

8.  Genome-wide mapping of brain phenotypes in extended pedigrees with strong genetic loading for bipolar disorder.

Authors:  Scott C Fears; Susan K Service; Barbara Kremeyer; Carmen Araya; Xinia Araya; Julio Bejarano; Margarita Ramirez; Gabriel Castrillón; Juliana Gomez-Franco; Maria C Lopez; Gabriel Montoya; Patricia Montoya; Ileana Aldana; Terri M Teshiba; Noor B Al-Sharif; Maria Jalbrzikowski; Todd A Tishler; Javier Escobar; Andrés Ruiz-Linares; Carlos Lopez-Jaramillo; Gabriel Macaya; Julio Molina; Victor I Reus; Rita M Cantor; Chiara Sabatti; Nelson B Freimer; Carrie E Bearden
Journal:  Mol Psychiatry       Date:  2020-06-30       Impact factor: 15.992

9.  rs1344706 polymorphism of zinc finger protein 804a (ZNF804a) gene related to the integrity of white matter fiber bundle in schizophrenics.

Authors:  Jian Zhou; Quan Bao; Shuang Liang; Hong Guo; Xin Meng; Guangfeng Zhang; Ping Li
Journal:  Exp Ther Med       Date:  2021-05-18       Impact factor: 2.447

Review 10.  Evaluating endophenotypes for bipolar disorder.

Authors:  Riccardo Guglielmo; Kamilla Woznica Miskowiak; Gregor Hasler
Journal:  Int J Bipolar Disord       Date:  2021-05-27
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