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Deciphering the genetic interplay between depression and dysmenorrhea: a Mendelian randomization study.

Shuhe Liu1,2,3, Zhen Wei1,2,4, Daniel F Carr3,5

  • 1Department of Biological Sciences, School of Science, Xi'an Jiaotong-Liverpool University, 111 Ren'ai Road, Suzhou Industrial Park, Suzhou, Jiangsu 215123, China.

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Depression significantly causes dysmenorrhea, impacting reproductive function via specific genes like GRK4. This highlights the need for integrated health approaches screening for depression in women with painful periods.

Keywords:
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Area of Science:

  • Reproductive Health
  • Psychiatric Genetics
  • Bioinformatics

Background:

  • Investigates the complex relationship between depression and dysmenorrhea.
  • Utilizes an integrated approach combining genomic, transcriptomic, and protein interaction data.

Purpose of the Study:

  • To determine the causal link between depression and dysmenorrhea.
  • To identify genetic and molecular pathways underlying this relationship.

Main Methods:

  • Employs a two-sample, bidirectional Mendelian randomization (MR) approach.
  • Integrates Genome-Wide Association Study (GWAS), Expression Quantitative Trait Locus (eQTL), and Protein-Protein Interaction (PPI) network analyses.
  • Utilizes data from public databases and the STRING database.

Main Results:

  • Confirms a significant causal effect of depression on dysmenorrhea (OR=1.51, P=7.26×10-4).
  • Identifies key genes (GRK4, TRAIP, RNF123) and a potential shared causal variant (rs34341246 at RBMS3).
  • No evidence supports a causal effect of dysmenorrhea on depression.

Conclusions:

  • Depression is a significant causal factor for dysmenorrhea.
  • Identifies specific genes and proteins involved in the depression-dysmenorrhea interaction.
  • Recommends integrated screening for depression in women with dysmenorrhea and targeted preventive strategies.