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Association of CACNA1C Variants with Bipolar Disorder in the Korean Population

Overview of attention for article published in Psychiatry Investigation, July 2016
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Title
Association of CACNA1C Variants with Bipolar Disorder in the Korean Population
Published in
Psychiatry Investigation, July 2016
DOI 10.4306/pi.2016.13.4.453
Pubmed ID
Authors

Soojin Kim, Chul-Hyun Cho, Dongho Geum, Heon-Jeong Lee

Abstract

Previous studies have suggested an association between CACNA1C and susceptibility of bipolar disorder. In this study, we examined the association of CACNA1C variants with bipolar disorder in the Korean population. We selected 2 CACNA1C single nucleotide polymorphisms (SNPs), namely, rs723672 and rs1051375, based on their functions and minor allele frequencies described in previous studies. Genotypes of these 2 SNPs were analyzed by extracting DNA from blood samples collected from 287 patients with bipolar disorder and 340 healthy controls. Genotype frequencies of both rs723672 and rs1051375 SNPs were significantly different in patients and controls (p=0.0462 and 1.732E-14, respectively). Dominant, recessive, and allele models showed significant differences between patients and controls with respect to the rs1051375 SNP (p=1.72E-11, 4.17E-10, 4.95E-16, respectively). Our results suggested that CACNA1C SNPs rs723672 and rs1051375 were associated with bipolar disorder in the Korean population. In addition, our results highlighted the importance of CACNA1C in determining susceptibility to bipolar disorder.

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The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Other 4 17%
Student > Bachelor 4 17%
Researcher 3 13%
Student > Doctoral Student 2 8%
Student > Ph. D. Student 2 8%
Other 4 17%
Unknown 5 21%
Readers by discipline Count As %
Medicine and Dentistry 5 21%
Biochemistry, Genetics and Molecular Biology 4 17%
Neuroscience 3 13%
Psychology 2 8%
Agricultural and Biological Sciences 1 4%
Other 3 13%
Unknown 6 25%