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Genes Involved in Neurodevelopment, Neuroplasticity and Major Depression: No Association for and . | LitMetric

AI Article Synopsis

  • This study explores the genetic factors influencing major depressive disorder (MDD) by examining three candidate genes: CACNA1C, CHRNA7, and MAPK1.
  • Involving 242 MDD patients and 326 healthy controls of Korean ancestry, the researchers analyzed variations in these genes to see their association with MDD and clinical features.
  • While individual gene variations (SNPs) didn't show strong links to MDD, specific allelic combinations (haplotypes) in MAPK1 were related to MDD status, and CACNA1C haplotypes may influence resistance to antidepressant treatment; however, results need cautious interpretation due to study limitations.

Article Abstract

Objective: Genetics factors are likely to play a role in the risk, clinical presentation and treatment outcome in major depressive disorder (MDD). In this study, we investigated the role of three candidate genes for MDD; calcium voltage- gated channel subunit alpha1 C ( CACNA1C ), cholinergic receptor nicotinic alpha 7 subunit ( CHRNA7 ), and mitogen- activated protein kinase 1 ( MAPK1 ).

Methods: Two-hundred forty-two MDD patients and 326 healthy controls of Korean ancestry served as samples for the analyses. Thirty-nine single nucleotide polymorphisms (SNPs) within CACNA1C , CHRNA7 , and MAPK1 genes were genotyped and subsequently tested for association with MDD (primary analysis) and other clinical features (symptoms' severity, age of onset, history of suicide attempt, treatment outcome) (secondary analyses). Single SNPs, haplotypes and epistatic analyses were performed.

Results: Single SNPs were not associated with disease risk and clinical features. However, a combination of alleles (haplotype) within MAPK1 was found associated with MDD-status. Secondary analyses detected a possible involvement of CACNA1C haplotype in resistance to antidepressant treatment.

Conclusion: These data suggest a role for MAPK1 and CACNA1C in MDD risk and treatment resistance, respectively. However, since many limitations characterize the analysis, the results must be considered with great caution and verified.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6705106PMC
http://dx.doi.org/10.9758/cpn.2019.17.3.364DOI Listing

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