Association between polymorphism in TaqI, BsmI, Apa1, DHCR7, GC, CYP27B1 and CYP24A1 genes and vitamin D deficiency in Saudi obese females

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Manal Bin obead
Sahar Abdulaziz AlSedairy
Naveed Ahmed Syed
Periasamy Vaiyapuri Subbarayan
Tahani Aljurbua
Maha Abdulaziz Aljuwayd
Shaista Arzoo
Ali Abdullah Alshatwi


Vitamin D, obesity, SNPs, genes, BMI, Saudi., Sahar Abdulaziz AlSedairy


Background: Obesity is an endemic disease and obese people requires larger vitamin D intakes to achieve normal 25(OH)2D3 as compared to individuals with normal weight. This study assessed the association of vitamin D levels with the single nucleotide polymorphism (SNPs) of genes related to obesity and vitamin D (i.e., TaqI, BsmI, Apa1, DHCR7, GC, CYP27B1 and CYP24A1).

Methods: One hundred forty two women were involved in this study. The study tools included interview questionnaire, anthropometric measurements (height, weight, BMI) and blood biochemical tests (glucose, insulin, cholesterol, triglyceride, HDL, LDL, 25-Hydroxyvitamin D and parathyroid assessment and SNP analysis (VDR SNPs, DHCR7, GC, CYP27B1, CYP24A1).

Results: As compared to normal vitamin D obese (NVD) subjects the weight, body mass index (BMI) and parathyroid hormone (PTH) was significantly higher in vitamin D deficient obese (VDD) subjects. While, total cholesterol (TC), triglyceride (TG) and vitamin D levels were significantly lower in the vitamin D deficient group compared to the normal vitamin D group. Various variants such as TaqI, BsmI, Apa1, DHCR7, GC rs4588 and CYP27B1 did not showed any significant association with the pathogenesis of vitamin D deficiency related obesity. However, GC rs7041 and CYP24A1 genotypes were significantly related with vitamin D deficiency in patients with obesity.

Conclusion: This study suggests that polymorphisms in the GC and CYP24A1 genes are related with vitamin D deficiency in obese females. These polymorphisms may become a useful marker to predict the impending development of vitamin D deficiency in obese females. Studies have revealed that associations between genotypes of these SNPs and particular phenotypes may vary according to the following: ethnicity, interactions with environmental factors, sex, and number of participants.



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