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Clock gene variants differentiate mood disorders.

Monika Paulina Dmitrzak-Weglarz1, Joanna Maria Pawlak, Malgorzata Maciukiewicz

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Genetic variations in CLOCK, ARNTL, TIM, and PER3 genes are linked to mood disorder susceptibility. Specific gene variants are associated with bipolar and unipolar disorders, and sleep difficulties.

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Area of Science:

  • Genetics
  • Neuroscience
  • Psychiatry

Background:

  • Genetic variations in circadian rhythm genes are implicated in mood disorder development.
  • Understanding the role of core clock proteins (CLOCK, ARNTL, TIM, PER3) is crucial for mood disorder research.

Purpose of the Study:

  • To investigate the association between gene variants in four core clock genes (CLOCK, ARNTL, TIM, PER3) and the susceptibility to mood disorders (MD), including unipolar (UPD) and bipolar (BPD) disorders.
  • To explore gene-gene interactions and predictive values of these variants in MD.

Main Methods:

  • Genotyping of 42 single nucleotide polymorphisms (SNPs) in 744 MD patients (UPD=229, BPD=515) and 635 controls.
  • Analysis of single polymorphisms, haplotypes, SNP interactions, and predictive modeling using statistical and machine learning methods.
  • Investigation of associations with specific MD types and sleep disturbances.

Main Results:

  • Identified associations between CLOCK polymorphisms (rs1801260, rs11932595) and BPDII, and TIM polymorphisms (rs2291739, rs11171856) and UPD.
  • Found an ARNTL haplotype (rs1160996C/rs11022779G/rs1122780T) associated with increased MD and BPD risk.
  • Detected significant epistatic interactions between PER3 and ARNTL for BPD, and PER3 and CLOCK for UPD.
  • Observed that certain homozygous variants in ARNTL and PER3 are linked to difficulties falling asleep.
  • Machine learning models showed predictive value for 10 polymorphisms but lacked sufficient overall predictive power.

Conclusions:

  • Suggests a role for CLOCK, ARNTL, TIM, and PER3 gene polymorphisms in MD susceptibility.
  • Highlights the association of specific gene variants with distinct MD types (UPD and BPD).
  • Emphasizes the need for separate analyses for BPD and UPD and comprehensive statistical approaches, including symptom-specific analyses.