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Association between KCNQ2, TCF4 and RGS18 polymorphisms and silent brain infarction based on whole-exome sequencing

  • Jung Oh Kim (Department of Biomedical Science, College of Life Science, CHA University) ;
  • Kee Ook Lee (Department of Neurology, CHA Bundang Medical Center, School of Medicine, CHA University) ;
  • Hyun Woo Kim (Department of Biomedical Science, College of Life Science, CHA University) ;
  • Han Sung Park (Department of Biomedical Science, College of Life Science, CHA University) ;
  • Jinkwon Kim (Department of Neurology, CHA Bundang Medical Center, School of Medicine, CHA University) ;
  • Jung Hoon Sung (Department of Cardiology, CHA Bundang Medical Center, School of Medicine, CHA University) ;
  • Doyeun Oh (Department of Internal Medicine, CHA Bundang Medical Center, School of Medicine, CHA University) ;
  • Ok Joon Kim (Department of Neurology, CHA Bundang Medical Center, School of Medicine, CHA University) ;
  • Nam Keun Kim (Department of Biomedical Science, College of Life Science, CHA University)
  • 발행 : 20200400

초록

Silent brain infarction (SBI) is a cerebral infarction identified through brain imaging. In particular, studies have shown that the presence of SBI in elderly patients increases their risk of cognitive dysfunction, impairment and dementia. However, little research has been published on the relevance of SBI to these risks for the Korean population. The association between potassium voltage-gated channel subfamily Q member 2 (KCNQ2), transcription factor 4 (TCF4) and regulator of G-protein signaling 18 (RGS18) genotypes and SBI were investigated using whole-exome sequencing and PCR restriction fragment length polymorphism (RFLP) analysis. The study population included 407 patients with SBI (171 males) and 401 control subjects (172 males). Genotyping was performed using PCR RFLP. Interestingly, TCF4 rs9957668T>C polymorphisms were associated with SBI prevalence [TT vs. CC: adjusted odds ratio (AOR), 1.815, 95% confidence intervals (CI), 1.202-2.740; TT vs. TC+CC: AOR, 1.492, 95% CI, 1.066-2.088; TT+TC vs. CC: AOR, 1.454, 95% CI, 1.045-2.203]. The combination of KCNQ2 rs73146513A>G and TCF4 rs9957668T>C genotypes was associated with increasing SBI prevalence (AG/CC: AOR, 3.719, 95% CI, 1.766-7.833; AA/CC: AOR, 3.201, 95% CI, 1.387-7.387). The present study showed that TCF4 rs9957668T>C polymorphisms may be risk factors for SBI. Therefore, the TCF4 rs9957668T>C polymorphism may serve as a biomarker for increased risk of SBI in the Korean population.

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과제정보

The present study was partially supported by National Research Foundation of Korea Grants funded by the Korean Government (grant nos. NRF-2016R1D1A1B03930141 and NRF-2017R1D1A1 B03030110) and by the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare (grant no. HI18C19990200), Republic of Korea.