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http://dx.doi.org/10.1038/mp.2012.134 | DOI Listing |
BMC Psychiatry
May 2024
School of Mental Health, Wenzhou Medical University, Wenzhou, 325035, China.
Objective: Alcohol withdrawal syndrome (AWS) is a complex condition associated with alcohol use disorder (AUD), characterized by significant variations in symptom severity among patients. The psychological and emotional symptoms accompanying AWS significantly contribute to withdrawal distress and relapse risk. Despite the importance of neural adaptation processes in AWS, limited genetic investigations have been conducted.
View Article and Find Full Text PDFPharmacol Biochem Behav
March 2024
Zhejiang Provincial Clinical Research Center for Mental Disorders, The Affiliated Wenzhou Kangning Hospital, Wenzhou Medical University, Wenzhou, China. Electronic address:
Alcohol withdrawal syndrome (AWS) is a poorly studied phenotype of alcohol use disorder. Understanding the relationship between allelic interactions and AWS-related impulsivity and aggression could have significant implications. This study aimed to investigate the main and interacting effects of ZNF804A and mTOR on impulsivity and aggression during alcohol withdrawal.
View Article and Find Full Text PDFPsychol Med
September 2022
Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal.
Background: Given psychotic illnesses' high heritability and associations with brain structure, numerous neuroimaging-genetics findings have been reported in the last two decades. However, few findings have been replicated. In the present independent sample we aimed to replicate any psychosis-implicated SNPs (single nucleotide polymorphisms), which had previously shown at least two main effects on brain volume.
View Article and Find Full Text PDFEur Arch Psychiatry Clin Neurosci
October 2022
FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain.
The CACNA1C and the ZNF804A genes are among the most relevant schizophrenia GWAS findings. Recent evidence shows that the interaction of these genes with the schizophrenia diagnosis modulates brain functional response to a verbal fluency task. To better understand how these genes might influence the risk for schizophrenia, we aimed to study the interplay between CACNA1C and ZNF804A on working memory brain functional correlates.
View Article and Find Full Text PDFWorld J Biol Psychiatry
March 2023
Health Sciences Center, State University of Londrina, Londrina, Brazil.
Objectives: This systematic review and meta-analysis focussed on insights into the relationship between -rs1006737 and -rs1344706 polymorphisms and cognitive performance in schizophrenia (SCZ) spectrum and bipolar disorder (BD) and provide some contributions for clinical practice.
Methods: We searched the websites databases (PubMED, PsycINFO, Web of Science, EMBASE and Cochrane Library) using eligibility and exclusion criteria to capture all potential studies, based on PICO model and according to the PRISMA.
Results: Eight articles were included in this systematic review (five referring to -rs1006737 and three related to -rs1344706 polymorphisms), with a total of 5759 participants (1751 SCZ patients, 348 BD patients, 3626 controls and 34 first-degree relatives).
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