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Genetic variants of the PLCXD3 gene are associated with risk of metabolic syndrome in the emirati population

  • Växjö Central Hospital
  • College of Medicine
  • Baker Heart Research Institute

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Phosphatidylinositol-specific phospholipase C X domain 3 (PLCXD3) has been shown to influence pancreatic β-cell function by disrupting insulin signaling. Herein, we investigated two genetic variants in the PLCXD3 gene in relation to type 2 diabetes (T2D) or metabolic syndrome (MetS) in the Emirati population. In total, 556 adult Emirati individuals (306 T2D and 256 controls) were genotyped for two PLCXD3 variants (rs319013 and rs9292806) using TaqMan genotyping assays. The frequency distribution of minor homozygous CC genotype of rs9292806 and GG genotype of rs319013 were significantly higher in subjects with MetS compared to Non-MetS (p < 0.01). The minor homozygous rs9292806-CC and rs319013-GG genotypes were significantly associated with increased risk of MetS (adj. OR 2.92; 95% CI 1.61–5.3; p < 0.001) (adj. OR 2.62; 95% CI 1.42–4.83; p = 0.002), respectively. However, no associations were detected with T2D. In healthy participants, the homozygous minor genotypes of both rs9292806 and rs319013 were significantly higher fasting glucose (adj. p < 0.005), HbA1c (adj. p < 0.005) and lower HDL-cholesterol (adj. p < 0.05) levels. Data from T2D Knowledge Portal database disclosed a nominal association of rs319013 and rs9292806 with T2D and components of MetS. Bioinformatics prediction analysis showed a deleterious effect of rs9292806 on the regulatory regions of PLCXD3. In conclusion, this study identifies rs319013 and rs9292806 variants of PLCXD3 as additional risk factors for MetS in the Emirati population.

Original languageEnglish
Article number665
Pages (from-to)1-14
Number of pages14
JournalGenes
Volume11
Issue number6
DOIs
StatePublished - Jun 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • BMI
  • Body mass index
  • CJD
  • Diastolic blood pressure
  • HbA1c
  • LDL
  • MAF
  • MetS
  • Metabolic syndrome
  • Minor allele frequency
  • Phosphatidylinositol-specific phospholipase C X domain
  • SBP
  • Single-nucleotide polymorphism
  • Triglycerides
  • Type 2 diabetes

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