| Literature DB >> 28073605 |
Shabeesh Balan1, Kazuo Yamada1, Yoshimi Iwayama1, Takanori Hashimoto2, Tomoko Toyota1, Chie Shimamoto1, Motoko Maekawa1, Shu Takagai3, Tomoyasu Wakuda3, Yosuke Kameno3, Daisuke Kurita3, Kohei Yamada3, Mitsuru Kikuchi2, Tasuku Hashimoto4, Nobuhisa Kanahara4, Takeo Yoshikawa5.
Abstract
Involvement of the gamma-aminobutyric acid (GABA)-ergic system in schizophrenia pathogenesis through disrupted neurodevelopment has been highlighted in numerous studies. However, the function of common genetic variants of this system in determining schizophrenia risk is unknown. We therefore tested the association of 375 tagged SNPs in genes derived from the GABAergic system, such as GABAA receptor subunit genes, and GABA related genes (glutamate decarboxylase genes, GABAergic-marker gene, genes involved in GABA receptor trafficking and scaffolding) in Japanese schizophrenia case-control samples (n=2926; 1415 cases and 1511 controls). We observed nominal association of SNPs in nine GABAA receptor subunit genes and the GPHN gene with schizophrenia, although none survived correction for study-wide multiple testing. Two SNPs located in the GABRA1 gene, rs4263535 (Pallele=0.002; uncorrected) and rs1157122 (Pallele=0.006; uncorrected) showed top hits, followed by rs723432 (Pallele=0.007; uncorrected) in the GPHN gene. All three were significantly associated with schizophrenia and survived gene-wide multiple testing. Haplotypes containing associated variants in GABRA1 but not GPHN were significantly associated with schizophrenia. To conclude, we provided substantiating genetic evidence for the involvement of the GABAergic system in schizophrenia susceptibility. These results warrant further investigations to replicate the association of GABRA1 and GPHN with schizophrenia and to discern the precise mechanisms of disease pathophysiology.Entities:
Keywords: Association study; GABRA1; Gephyrin; SNP; Schizophrenia
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Year: 2017 PMID: 28073605 DOI: 10.1016/j.schres.2017.01.003
Source DB: PubMed Journal: Schizophr Res ISSN: 0920-9964 Impact factor: 4.939