| Literature DB >> 29595641 |
Xiao-Jiao Bi1, Xiao-Min Lv, Xian-Ying Ai, Meng-Meng Sun, Kai-Yan Cui, Li-Min Yang, Li-Na Wang, Ai-Hua Yin, Lan-Fen Liu.
Abstract
The gene - environment (G × E) interaction effect is involved in severe mental disorders. However, whether the brain-derived neurotrophic factor (BDNF) Val66Met polymorphism participates in the childhood-abuse influenced schizophrenic symptoms remains unclear. We examined the interaction between BDNF Val66Met, and childhood trauma (ChT) on psychotic symptoms in a Chinese Han population.To estimate the G × E interaction, psychiatric interviews, self-report questionnaires for ChT, and genotyping for BDNF Val66Met were carried out on 201 schizophrenic patients. G × E interactions were analyzed by generalized multifactor dimensionality reduction (GMDR).Among all patients, 11.9%, 19.4%, 23.4%, 26.4%, and 73.6% reported emotional abuses, physical abuses (PA), sexual abuses (SA), emotional neglects (EN), and physical neglects (PN), respectively. Significant negative correlations were observed between anxiety/depression factors, and ChT total scores. Patients with 3 different BDNF genotypes showed significant differences in anxiety/depression scores. Significant 2-way interactions were found for Val66Met × PN, 3-way interactions were found for Val66Met × PN × PA, and four-way interactions were found for Val66Met × PN × PA × EN with regard to the excitement scores.Our findings suggested an involvement of BDNF Val66Met polymorphism after ChT in terms of risk for schizophrenia symptoms.Entities:
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Year: 2018 PMID: 29595641 PMCID: PMC5895403 DOI: 10.1097/MD.0000000000010160
Source DB: PubMed Journal: Medicine (Baltimore) ISSN: 0025-7974 Impact factor: 1.889
Demographic, and clinical characteristics in patients with schizophrenia.
Figure 1Gender differences in different types of abuse.
Correlation between scores of CTQ, and PANSS (Pearson correlation coefficient R and P value).
Association of genotype frequencies of the BDNF Val66Met polymorphisms with CTQ, and PANSS.
GMDR analyses on gene-environment interactions in schizophrenia patients.