Repository of Research and Investigative Information

Repository of Research and Investigative Information

Baqiyatallah University of Medical Sciences

Detection of six novel de novo mutations in individuals with low resilience to psychological stress

(2021) Detection of six novel de novo mutations in individuals with low resilience to psychological stress. Plos One. p. 13. ISSN 1932-6203

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Abstract

Genetic bases of psychological stress resilience have been studied previously, but mechanisms and genetic variants which are involved in stress resilience are still unclear. The present study aimed to evaluate the associations between variants in dopaminergic pathway genes with stress resilience. Subjects of the present study were divided into four groups. Group A included persons with normal reactions to major life events stressors; group B included persons with an acute stress reaction to major life events stressor; group C included persons with normal reactions to Crises/catastrophes stressors, and group D included persons with an acute stress reaction to Crises/catastrophes stressors. DNA was extracted from the subject's blood, and the entire length of 14 genes DRD1, DRD2, DRD3, DRD4, DRD5, COMT, DBH, TH, MAOA, DDC, DAT, 5-HTT, BDNF, and GDNF were sequenced by automated sequencers ABI 3700. Results showed 24 point mutations in 12 genes, including 16 SNPs and six novel mutations, which were significantly correlated to low-stress resilience. Most of the SNPs were known as risk alleles in psychiatric disorders. Several associations were found between genetic variants and psychological characteristics. Findings suggest dopaminergic as an important pathway in stress and stress resilience also indicated shared genetic bases between low-stress resilience and several psychiatric disorders.

Item Type: Article
Keywords: prefrontal cortex dopamine depression gene susceptibility polymorphism association pathways disorder scale Science & Technology - Other Topics
Page Range: p. 13
Journal or Publication Title: Plos One
Journal Index: ISI
Volume: 16
Number: 9
Identification Number: https://doi.org/10.1371/journal.pone.0256285
ISSN: 1932-6203
Depositing User: مهندس مهدی شریفی
URI: http://eprints.bmsu.ac.ir/id/eprint/10003

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