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Association Between C-Maf-inducing Protein Gene Rs2287112 Polymorphism and Schizophrenia

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Journal PeerJ
Date 2021 Sep 6
PMID 34484985
Citations 1
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Abstract

Background: Schizophrenia is a severely multifactorial neuropsychiatric disorder, and the majority of cases are due to genetic variations. In this study, we evaluated the genetic association between the C-Maf-inducing protein ( gene and schizophrenia in the Han Chinese population.

Methods: In this case-control study, 761 schizophrenia patients and 775 healthy controls were recruited. Tag single-nucleotide polymorphisms (SNPs; rs12925980, rs2287112, rs3751859 and rs77700579) from the gene were genotyped matrix-assisted laser desorption/ionization time of flight mass spectrometry. We used logistic regression to estimate the associations between the genotypes/alleles of each SNP and schizophrenia in males and females, respectively. The in-depth link between and schizophrenia was explored through linkage disequilibrium (LD) and further haplotype analyses. False discovery rate correction was utilized to control for Type I errors caused by multiple comparisons.

Results: There was a significant difference in rs287112 allele frequencies between female schizophrenia patients and healthy controls after adjusting for multiple comparisons ( = 12.296, = 0.008). Females carrying minor allele G had 4.445 times higher risk of schizophrenia compared with people who carried the T allele ( = 4.445, 95% CI [1.788-11.046]). Linkage-disequilibrium was not observed in the subjects, and people with haplotype TTGT of rs12925980-rs2287112-rs3751859-rs77700579 had a lower risk of schizophrenia ( = 0.42, 95% CI [0.19-0.94]) when compared with CTGA haplotypes. However, the association did not survive false discovery rate correction.

Conclusion: This study identified a potential variant that may confer schizophrenia risk in the female Han Chinese population.

Citing Articles

Associations of cognitive impairment in patients with schizophrenia with genetic features and with schizophrenia-related structural and functional brain changes.

Zhuo C, Tian H, Chen J, Li Q, Yang L, Zhang Q Front Genet. 2022; 13:880027.

PMID: 36061201 PMC: 9437456. DOI: 10.3389/fgene.2022.880027.

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