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Cited 12 time in webofscience Cited 14 time in scopus
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Genes Involved in Neurodevelopment, Neuroplasticity and Major Depression: No Association for CACNA1C, CHRNA7 and MAPK1

Authors
Calabro, MarcoMandelli, LauraCrisafulli, ConcettaLee, Soo-JungJun, Tae-YounWang, Sheng-MinPatkar, Ashwin A.Masand, Prakash S.Han, ChangsuPae, Chi-UnSerretti, Alessandro
Issue Date
Aug-2019
Publisher
대한정신약물학회
Keywords
MAPK1; CACNA1C; CHRNA7; Major depressive disorder; Deep phenotyping
Citation
Clinical Psychopharmacology and Neuroscience, v.17, no.3, pp 364 - 368
Pages
5
Indexed
SCIE
SCOPUS
KCI
Journal Title
Clinical Psychopharmacology and Neuroscience
Volume
17
Number
3
Start Page
364
End Page
368
URI
https://scholarworks.korea.ac.kr/kumedicine/handle/2020.sw.kumedicine/1759
DOI
10.9758/cpn.2019.17.3.364
ISSN
1738-1088
2093-4327
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 alphal 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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