htr2a gene
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Author(s):  
Masahiro Matsunaga ◽  
Yohsuke Ohtsubo ◽  
Takahiko Masuda ◽  
Yasuki Noguchi ◽  
Hidenori Yamasue ◽  
...  

Author(s):  
Shamsoulmolouk Najafi ◽  
Zahra Faraji ◽  
Hassan Roudgari

Background: Bruxism is a parafunctional disorder. The prevalence of this rhythmic activity of rodent muscles is reported to be about %8. This disease can compromise the life quality of a person’s general performance. The aim of this study is to gather information upon genetic factors, which contribute to the pathogenesis of the disease. Method: All related articles published in 1966 onward from google scholar such as ISI, PubMed, Scopus and Ovid within the databases were searched using English keywords ‘Bruxism and Genetics’. 300 articles were found. 252 articles were removed due to content duplication and irrelevance.  Findings: The review of selected articles finally showed that in addition to other factors such as psychological factors, local factors, systemic factors, etc., the genetic factors also play a significant role in pathogenesis of bruxism. Among the influential genes are rs6313 polymorphism from the 5HT2A gene and rs6313 polymorphism from the HTR2A gene. Conclusion: Evidence suggests that genetic factors play an important role in the pathology and development of bruxism, however the main causing mechanism still largely remains unknown.


Author(s):  
М.Н. Грунина ◽  
А.М. Заботина ◽  
А.С. Журавлев ◽  
Р.Ф. Насырова ◽  
А.Е. Тараскина

Психические расстройства ассоциированы с нарушением паттерна изоформ транскриптов экзона II гена HTR2A за счет преобладания альтернативной изоформы Е2-. При этом высокий уровень экспрессии изоформы Е2- ассоциирован с благоприятным прогнозом антипсихотической терапии. The aim of the study was to analyze the role of exon II HTR2A gene transcript isoforms and rs6311 genetic variant in the development of mental pathologies and antipsychotic therapy prognosis. Alternative isoforms of exon II HTR2A are associated with the development of mental pathologies and is applicable to predict antipsychotic therapy outcome.


2020 ◽  
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Keyword(s):  

2019 ◽  
Vol 9 (7) ◽  
Author(s):  
Alma Delia Genis‐Mendoza ◽  
David Ruiz‐Ramos ◽  
María Lilia López‐Narvaez ◽  
Carlos Alfonso Tovilla‐Zárate ◽  
Ana Rosa García ◽  
...  

Vrach ◽  
2019 ◽  
Vol 30 (1) ◽  
Author(s):  
L. Akhmetova ◽  
M. Tolmachev ◽  
N. Shnaider ◽  
T. Potupchik ◽  
E. Ershov ◽  
...  

2018 ◽  
Vol 262 ◽  
pp. 636-637
Author(s):  
Qianqian Sun ◽  
Xiaoye Huang ◽  
Weibo Niu ◽  
Tao Yu ◽  
Shiqing Chen ◽  
...  

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