Literature DB >> 25258123

Clock gene variants differentiate mood disorders.

Monika Paulina Dmitrzak-Weglarz1, Joanna Maria Pawlak, Malgorzata Maciukiewicz, Jerzy Moczko, Monika Wilkosc, Anna Leszczynska-Rodziewicz, Dorota Zaremba, Joanna Hauser.   

Abstract

Genetic variations in clock-related genes were hypothesized to be involved to in the susceptibility of mood disorders MD (both unipolar (UPD) and bipolar (BPD) disorders). In our work we investigated role of gene variants form four core period proteins: CLOCK, ARNTL, TIM and PER3. The total sample comprised from 744 mood disorders inpatients (UPD = 229, BPD = 515) and 635 healthy voluntary controls. The 42 SNPs from four genes of interest were genotyped. We used single polymorphisms, haplotypes, SNPs interactions and prediction analysis using classical statistical and machine learning methods. We observed association between two polymorphisms of CLOCK (rs1801260 and rs11932595) with BPDII and two polymorphisms of TIM (rs2291739, rs11171856) with UPD. We also detected ARNTL haplotype variant (rs1160996C/rs11022779G/rs1122780T) to be associated with increased risk of MD, BPD (both types). We established significant epistatic interaction between PER3 (rs2172563) and ARNTL (rs4146388 and rs7107287) in case of BPD. Additionally relation between PER3 (rs2172563) and CLOCK (rs1268271 and rs3805148) appeared in case of UPD. Classification and Regression Trees (C and RT) showed significant predictive value for 10 polymorphisms in all analyzed genes. However we failed to obtain model with sufficient predictive power. During analyses of sleep disturbances sample, we found carriers of homozygote variants (ARNTL: rs11022778 TT, rs1562438 TT, rs1982350 AA and PER3: rs836755 CC) showing more frequent falling asleep difficulties when compare to other genotypes carriers. Our study suggested a putative role of the CLOCK, TIM, ARNTL and PER3 and polymorphisms in MD susceptibility. In our analyses we showed association of specific gene variants with particular types of MD. We also confirmed necessity of performing separate analyzes for BPD and UPD patients. Comprehensive statistical approach is required even with individual symptoms analyses.

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Year:  2014        PMID: 25258123     DOI: 10.1007/s11033-014-3770-9

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


  44 in total

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2.  Actimetric evidence that CLOCK 3111 T/C SNP influences sleep and activity patterns in patients affected by bipolar depression.

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Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2007-07-05       Impact factor: 3.568

3.  A CLOCK polymorphism associated with human diurnal preference.

Authors:  D Katzenberg; T Young; L Finn; L Lin; D P King; J S Takahashi; E Mignot
Journal:  Sleep       Date:  1998-09-15       Impact factor: 5.849

4.  Case-control association study of 36 single-nucleotide polymorphisms within 10 candidate genes for major depression and bipolar disorder.

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Journal:  Psychiatry Res       Date:  2012-12-27       Impact factor: 3.222

5.  Sleep disturbances and circadian CLOCK genes in borderline personality disorder.

Authors:  Monika Fleischer; Michael Schäfer; Andrew Coogan; Frank Häßler; Johannes Thome
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6.  The CLOCK gene and mood disorders: a case-control study and meta-analysis.

Authors:  Taro Kishi; Reiji Yoshimura; Yasuhisa Fukuo; Tsuyoshi Kitajima; Tomo Okochi; Shinji Matsunaga; Toshiya Inada; Hiroshi Kunugi; Tadafumi Kato; Takeo Yoshikawa; Hiroshi Ujike; Wakako Umene-Nakano; Jun Nakamura; Norio Ozaki; Alessandro Serretti; Christoph U Correll; Nakao Iwata
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7.  Comorbidity of DSM-III-R major depressive disorder in the general population: results from the US National Comorbidity Survey.

Authors:  R C Kessler; C B Nelson; K A McGonagle; J Liu; M Swartz; D G Blazer
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8.  The characteristics of sleep in patients with manifest bipolar disorder, subjects at high risk of developing the disease and healthy controls.

Authors:  Philipp S Ritter; Carolin Marx; Natalia Lewtschenko; Steffi Pfeiffer; Karolina Leopold; Michael Bauer; Andrea Pfennig
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9.  PER2 variantion is associated with depression vulnerability.

Authors:  Catharina Lavebratt; Louise K Sjöholm; Timo Partonen; Martin Schalling; Yvonne Forsell
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2010-03-05       Impact factor: 3.568

Review 10.  Depressive disorders in the medically ill. An overview.

Authors:  E H Cassem
Journal:  Psychosomatics       Date:  1995 Mar-Apr       Impact factor: 2.386

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2.  Genetic Association of the PERIOD3 (Per3) Clock Gene with Bipolar Disorder.

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

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Review 5.  Evidences of Polymorphism Associated with Circadian System and Risk of Pathologies: A Review of the Literature.

Authors:  F J Valenzuela; J Vera; C Venegas; S Muñoz; S Oyarce; K Muñoz; C Lagunas
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6.  A Deep Learning Approach for Predicting Antidepressant Response in Major Depression Using Clinical and Genetic Biomarkers.

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Review 7.  The genetics of circadian rhythms, sleep and health.

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  7 in total

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