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Impact of variants on type-2 diabetes risk genes identified through genomewide association studies in polycystic ovary syndrome: a case–control study

  • Intissar Ezzidi
  • Nabil Mtiraoui
  • Mohammed Eltigani Mohmmed Ali
  • Aqeel Al Masoudi
  • Faisel Abu Duhier
Research Article
  • 7 Downloads

Abstract

Polycystic ovary syndrome (PCOS) is a common endocrine disorder in females, and is associated with altered metabolic processes in particular insulin resistance and diabetes mellitus. PCOS shares with type-2 diabetes (T2D) a number of features, including beta cell dysfunction, impaired glucose tolerance and dyslipidaemia. Recently, genomewide association studies (GWAS) have reported a number of genes with reproducible associations and susceptibilities to T2D. To address this, we examined the association between the T2D GWAS candidate genes (CDKAL1, CDKN2B, COL8A1, HHEX, IGF2BP2, KCNJ1, KCNQ1 and SLC30A8) and PCOS in Saudi women. A case–control study, includes 162 cases and 162 controls was enrolled. Genotyping was carried out by the allelic discrimination method. Our results showed that the variants including rs792837 of COL8A1, rs61873498 of KCNQ1 and rs13266634 of SLC30A8 genes to be significantly more frequent in PCOS patients than in controls. Our results suggest that COL8A1, KCNQ1 and SLC30A8, which are previously identified through GWAS as T2D-associated genes, are associated with PCOS.

Keywords

genome-wide association studies single-nucleotide polymorphisms polycystic ovary syndrome 

Notes

Acknowledgements

We gratefully acknowledge all of the patients and volunteers for their participation. We also thank the nurses and physicians for their contribution to the collection of all samples in King Salman Military Hospital of  Tabuk, Saudi Arabia. This work was supported in part by a grant from National Applied Research Program of King Abdul-Aziz City for Science and Technology, KSA (KACST: AC-34-156), and the Deanship of Scientific Research, University of Tabuk, KSA (DSR: S1436-0288). All funding sources were independent and had no influence on the study design, the data extraction, analyses, interpretation of the data, writing of this article, or in the decision to submit the article for publication.

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Copyright information

© Indian Academy of Sciences 2018

Authors and Affiliations

  • Intissar Ezzidi
    • 1
    • 2
  • Nabil Mtiraoui
    • 1
    • 2
  • Mohammed Eltigani Mohmmed Ali
    • 3
  • Aqeel Al Masoudi
    • 4
  • Faisel Abu Duhier
    • 1
  1. 1.Prince Fahd Bin Sultan Research Chair, Using Advance Technology for Diseases Detection and Treatment, Faculty of Applied Medical SciencesUniversity of TabukTabukSaudi Arabia
  2. 2.Laboratory of Human Genome and Multifactorial Diseases, LR12ES07, Faculty of Pharmacy of MonastirUniversity of MonastirMonastirTunisia
  3. 3.King Salman Military HospitalTabukSaudi Arabia
  4. 4.King Abdulaziz Airbase Armed Forces HospitalDhahranSaudi Arabia

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