Literature DB >> 27102916

Chronotype and sleep quality as a subphenotype in association studies of clock genes in mood disorders.

Monika Dmitrzak-Węglarz1, Joanna Pawlak2, Monika Wiłkość3, Izabela Miechowicz4, Małgorzata Maciukiewicz2, Wanda Ciarkowska5, Dorota Zaremba2, Joanna Hauser2.   

Abstract

Genetic background and clinical picture of mood disorders (MD) are complex and may depend on many genes and their potential interactions as well as environmental factors. Therefore, clinical variations, or endophenotypes, were suggested for association studies. The aim of the study was to investigate association between the chronotype (CH) and quality of sleep characteristics with polymorphisms CLOCK, ARNTL, TIMELESS and PER3 genes in MD. We included a total sample of 111 inpatients and 126 healthy controls. To assess CH we applied Morningness-Eveningness Questionnaire (MEQ). Additionally, we defined the quality and patterns of sleep using The Pittsburgh Sleep Quality Index (PSQI) and Epworth Sleepiness Scale (ESS). We applied Kruskal-Wallis test to determine associations. The main positive findings refer to associations between selected polymorphisms and: 1) chronotype with the ARNTL gene (rs11824092 and rs1481892) and the CLOCK (rs1268271) 2) sleep duration with the CLOCK gene (rs3805148) and the TIM gene (rs2291739) 3) daytime dysfunction with the PER3 gene (rs228727, rs228642, rs10864315) 4) subjective sleep quality with the ARNTL gene (rs11824092, rs1982350) 5) sleep disturbances with the ARNTL gene (rs11600996) We also found the significant epistatic interactions between polymorphism of the PER3 gene (rs2640909) & the CLOCK gene (rs11932595) and following sleep quality variables: sleep duration, habitual sleep efficiency and subjective sleep quality. The present study suggests a putative role of the analyzed clock genes polymorphisms in chronotype in the control group and in sleep quality disturbances in the course of MD. The results indicate that PSQI variables can be used to refine phenotype in association studies of clock genes in MD.

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Year:  2016        PMID: 27102916     DOI: 10.21307/ane-2017-003

Source DB:  PubMed          Journal:  Acta Neurobiol Exp (Wars)        ISSN: 0065-1400            Impact factor:   1.579


  5 in total

1.  Associations between period 3 gene polymorphisms and sleep- /chronotype-related variables in patients with late-life insomnia.

Authors:  Hader A Mansour; Joel Wood; Kodavali V Chowdari; Divya Tumuluru; Mikhil Bamne; Timothy H Monk; Martica H Hall; Daniel J Buysse; Vishwajit L Nimgaonkar
Journal:  Chronobiol Int       Date:  2017-02-27       Impact factor: 2.877

2.  Relationship between Mental Health, the CLOCK Gene, and Sleep Quality in Surgical Nurses: A Cross-Sectional Study.

Authors:  Lingyun Shi; Yuanyuan Liu; Ting Jiang; Ping Yan; Fan Cao; Ying Chen; Huanhuan Wei; Jiwen Liu
Journal:  Biomed Res Int       Date:  2020-08-29       Impact factor: 3.411

3.  Genome-Wide Association Study of Circadian Rhythmicity in 71,500 UK Biobank Participants and Polygenic Association with Mood Instability.

Authors:  Amy Ferguson; Laura M Lyall; Joey Ward; Rona J Strawbridge; Breda Cullen; Nicholas Graham; Claire L Niedzwiedz; Keira J A Johnston; Daniel MacKay; Stephany M Biello; Jill P Pell; Jonathan Cavanagh; Andrew M McIntosh; Aiden Doherty; Mark E S Bailey; Donald M Lyall; Cathy A Wyse; Daniel J Smith
Journal:  EBioMedicine       Date:  2018-08-14       Impact factor: 8.143

4.  Differences in the Clinical Picture in Women with a Depressive Episode in the Course of Unipolar and Bipolar Disorder.

Authors:  Karolina Bilska; Joanna Pawlak; Paweł Kapelski; Beata Narożna; Przemysław Zakowicz; Aleksandra Szczepankiewicz; Maria Skibińska; Monika Dmitrzak-Węglarz
Journal:  J Clin Med       Date:  2021-02-10       Impact factor: 4.241

5.  A Predictive Model of Risk Factors for Conversion From Major Depressive Disorder to Bipolar Disorder Based on Clinical Characteristics and Circadian Rhythm Gene Polymorphisms.

Authors:  Zhi Xu; Lei Chen; Yunyun Hu; Tian Shen; Zimu Chen; Tingting Tan; Chenjie Gao; Suzhen Chen; Wenji Chen; Bingwei Chen; Yonggui Yuan; Zhijun Zhang
Journal:  Front Psychiatry       Date:  2022-07-11       Impact factor: 5.435

  5 in total

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