Replication of GWAS identified miR-137 and its target gene polymorphisms in Schizophrenia of South Indian population and meta-analysis with Psychiatric Genomics Consortium

Ravi, Sudesh; Thalamuthu, Anbupalam; John, Sujit; Rangaswamy, Thara; Mowry, Bryan; Munirajan, Arasambattu Kannan

doi:10.1016/j.schres.2018.03.028

Cited by 14 publications

(7 citation statements)

References 43 publications

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“…were also related to schizophrenia in the allele model, implying that the CACNA1C gene may influence the risk of schizophrenia. This view is consistent with the results of previous meta-analyses [12,13,15,18,38,39].…”

Section: Discussionsupporting

confidence: 93%

The genome-wide supported CACNA1C gene polymorphisms and the risk of schizophrenia: an updated meta-analysis

Liu¹,

Wang²,

Xia³

et al. 2020

Preprint

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Background: The CACNA1C gene was defined as a risk gene for schizophrenia in a large genome-wide association study of European ancestry performed by the Psychiatric Genomics Consortium. Previous meta-analyses focused on the association between the CACNA1C gene rs1006737 and schizophrenia. The present study focused on whether there was a racial difference in the effect of the CACNA1C gene rs1006737 on schizophrenia. rs2007044 and rs4765905 were analyzed for their effect on the risk of schizophrenia. Methods: Pooled, subgroup, sensitivity, and publication bias analysis were conducted.Results: A total of 18 studies met the inclusion criteria, including fourteen rs1006737 studies (15,213 cases, 19,412 controls), three rs2007044 studies (6,007 cases, 6,518 controls), and two rs4765905 studies (2,435 cases, 2,639 controls). An allele model study also related rs2007044 and rs4765905 to schizophrenia. The overall meta-analysis for rs1006737, which included the allele contrast, dominant, recessive, codominance, and complete overdominance models, showed significant differences between rs1006737 and schizophrenia. However, the race-based subgroup analysis for rs1006737 found that the genotypes GG and GG + GA were only protective factors for schizophrenia in European populations. In contrast, the rs1006737 GA genotype only reduced the risk of schizophrenia in Asian populations. Conclusions: Rs1006737, rs2007044, and rs4765905 of the CACNA1C gene were associated with susceptibility to schizophrenia. However, the influence model for rs1006737 on schizophrenia in Asian and European populations demonstrated both similarities and differences between the two populations.

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Section: Discussionsupporting

confidence: 93%

The genome-wide supported CACNA1C gene polymorphisms and the risk of schizophrenia: an updated meta-analysis

Liu¹,

Wang²,

Xia³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…In the overall analysis, rs1006737 was associated with the risk of schizophrenia in all ve genetic models, and rs2007044 and rs4765905 were also related to schizophrenia in the allele model, implying that the CACNA1C gene may in uence the risk of schizophrenia. This view is consistent with the results of previous meta-analyses [13,14,16,35,39,40].…”

Section: Discussionsupporting

confidence: 93%

The genome-wide supported CACNA1C gene polymorphisms and the risk of schizophrenia: an updated meta-analysis

Liu¹,

Wang²,

Xia³

et al. 2020

Preprint

View full text Add to dashboard Cite

Abstract Background: The CACNA1C gene was defined as a risk gene for schizophrenia in a large genome-wide association study of European ancestry performed by the Psychiatric Genomics Consortium. Previous meta-analyses focused on the association between the CACNA1C gene rs1006737 and schizophrenia. The present study focused on whether there was an ancestral difference in the effect of the CACNA1C gene rs1006737 on schizophrenia. rs2007044 and rs4765905 were analyzed for their effect on the risk of schizophrenia. Methods: Pooled, subgroup, sensitivity, and publication bias analysis were conducted.Results: A total of 18 studies met the inclusion criteria, including fourteen rs1006737 studies (15,213 cases, 19,412 controls), three rs2007044 studies (6,007 cases, 6,518 controls), and two rs4765905 studies (2,435 cases, 2,639 controls). An allele model study also related rs2007044 and rs4765905 to schizophrenia. The overall meta-analysis for rs1006737, which included the allele contrast, dominant, recessive, codominance, and complete overdominance models, showed significant differences between rs1006737 and schizophrenia. However, the ancestral-based subgroup analysis for rs1006737 found that the genotypes GG and GG + GA were only protective factors for schizophrenia in Europeans. In contrast, the rs1006737 GA genotype only reduced the risk of schizophrenia in Asians. Conclusions: Rs1006737, rs2007044, and rs4765905 of the CACNA1C gene were associated with susceptibility to schizophrenia. However, the influence model for rs1006737 on schizophrenia in Asians and Europeans demonstrated both similarities and differences between the two ancestors.

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“…were also related to schizophrenia in the only conducted allele model, implying CACNA1C gene may influence the risk of schizophrenia. This view is consistent with the results of previous meta-analyses [12,13,15,18,38,39].…”

Section: Discussionsupporting

confidence: 93%

“…Consistent with this, Hori et al [17] found no significant difference in the genotype or allele frequency of rs1006737 in the CACNA1C gene between schizophrenia patients and controls in the Japanese population. In addition, Sudesh et al [18] analyzed 12 single nucleotide polymorphism (SNPs), including rs4765905, in 536 Asian families and found no evidence of any SNP association with schizophrenia.…”

Section: Introductionmentioning

confidence: 99%

The genome-wide supported CACNA1C gene polymorphisms and the risk of schizophrenia: an update meta-analysis

Liu¹,

Wu²,

Xia³

et al. 2020

Preprint

View full text Add to dashboard Cite

Background: The CACNA1C gene was defined as the risk gene for schizophrenia in a large GWAS of European ancestory by Psychiatric Genomics Consortium. Previous meta-analyses have focused on the association between CACNA1C gene rs1006737 and schizophrenia. However, the present study focused on whether there was a racial difference in the effect of CACNA1C gene rs1006737 on schizophrenia. In addition, rs2007044 and rs4765905 were used to analyzed the risk of schizophrenia.Methods: The pooled analysis, subgroup analysis, sensitivity analysis and publication bias were conducted.Results: A total of 18 studies met the inclusion criteria, 14 for rs1006737 (15,213 cases and 19,412 controls), 3 for rs2007044 (6007 cases and 6,518 controls), and 2 for rs4765905 (2,435 cases and 2,639 controls). Rs2007044 and rs4765905 were also related to schizophrenia in the only conducted allele model. For rs1006737, the allele contrast model, dominant model, recessive model, codominance models, and complete overdominance model were performed, and the overall meta-analysis showed significant differences between rs1006737 and schizophrenia. However, race-based subgroup analysis of rs1006737 and found that the genotypes GG and GG+GA were only protective factors for schizophrenia in European populations, while the GA genotype of rs1006737 only reduced the risk of schizophrenia in Asian populations.Conclusions: Rs1006737, rs2007044 and rs4765905 of CACNA1C gene were associated with susceptibility to schizophrenia. However, the influence model of rs1006737 on schizophrenia in Asian and European populations have both similarities and differences.

show abstract

Replication of GWAS identified miR-137 and its target gene polymorphisms in Schizophrenia of South Indian population and meta-analysis with Psychiatric Genomics Consortium

Cited by 14 publications

References 43 publications

The genome-wide supported CACNA1C gene polymorphisms and the risk of schizophrenia: an updated meta-analysis

The genome-wide supported CACNA1C gene polymorphisms and the risk of schizophrenia: an updated meta-analysis

The genome-wide supported CACNA1C gene polymorphisms and the risk of schizophrenia: an updated meta-analysis

The genome-wide supported CACNA1C gene polymorphisms and the risk of schizophrenia: an update meta-analysis

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