PeerJ (Nov 2022)

Association of polymorphic variants in GEMIN genes with the risk of depression in a Polish population

  • Mateusz Kowalczyk,
  • Edward Kowalczyk,
  • Monika Gogolewska,
  • Maciej Skrzypek,
  • Monika Talarowska,
  • Ireneusz Majsterek,
  • Tomasz Poplawski,
  • Paweł Kwiatkowski,
  • Monika Sienkiewicz

DOI
https://doi.org/10.7717/peerj.14317
Journal volume & issue
Vol. 10
p. e14317

Abstract

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Background The role of miRNA in depression is widely described by many researchers. miRNA is a final product of many genes involved in its formation (maturation). One of the final steps in the formation of miRNAs is the formation of the RISC complex, called the RNA-induced silencing complex, which includes, among others, GEMIN proteins. Single-nucleotide polymorphisms (SNPs) may lead to disturbance of miRNA biogenesis and function. The objective of our research was to assess the relationship between the appearance of depression and single nucleotide polymorphisms in the GEMIN3 (rs197388) and GEMIN4 (rs7813; rs3744741) genes. Our research provides new knowledge on the genetic factors that influence the risk of depression. They can be used as an element of diagnostics helpful in identifying people at increased risk, as well as indicating people not at risk of depression. Methods A total of 218 participants were examined, including individuals with depressive disorders (n = 102; study group) and healthy people (n = 116, control group). All the patients in the study group and the people in the control group were non-related native Caucasian Poles from central Poland. Blood was collected from study and control groups in order to assess the SNPs of GEMIN genes. Results An analysis of the results obtained showed that in patient population, the risk of depression is almost doubled by polymorphic variants of the genes: rs197388/GEMIN3 genotype A/A in the recessive model and rs3744741/GEMIN4 genotype T/T, codominant and recessive model. The dual role of rs7813/GEMIN4 is noteworthy, where the G/A genotype in the codominant and over dominant model protects against depression.

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