Association of the Pro12Ala Polymorphism with the Metabolic Parameters in Women with Polycystic Ovary Syndrome


  • Moushira Zaki Biological Anthropology Department, National Research Centre, Cairo
  • Naglaa Hassan Biological Anthropology Department, National Research Centre, Cairo
  • Hala T. El-Bassyouni Clinical Genetics Department, National Research Centre, Cairo
  • Sanaa Kamal Biological Anthropology Department, National Research Centre, Cairo
  • Walaa Basha Biological Anthropology Department, National Research Centre, Cairo
  • Osama Azmy Reproductive Health Research Department, National Research Centre, Cairo
  • Khalda Amr Molecular Genetics Department, National Research Centre, Cairo



PCOS, metabolic, parameters, PPARG, polymorphism


AIM: To investigate the association of peroxisome proliferator-activated receptor gamma (PPARG) Pro12Ala polymorphism with polycystic ovary syndrome (PCOS) and its effect on the metabolic parameters in PCOS women.

METHODS: The study used PCR to identify the presence of the PPARG Pro12Ala polymorphism in 100 PCOS women and 120 age-matched healthy women. All participants were subjected to anthropometry, biochemical and metabolic evaluation.

RESULTS: Significant difference in the genotypes distributions of PPARG Pro12Ala polymorphism was observed among PCOS women and controls (p = 0.03). The frequency of the polymorphic allele Ala was significantly higher in PCOS cases than that in the controls (OR = 2.01, p = 0.01). The carries of the variant allele Ala in PCOS women showed significant higher values in body mass index (BMI), systolic and diastolic blood pressure, waist circumference, waist to hip ratio, sum of skin folds, fasting blood glucose, fasting blood insulin, HOMA-IR, fasting triglycerides, total cholesterol and low-density lipoprotein than non-carriers.

CONCLUSION: The PPARG Pro12Ala polymorphism might contribute to the risk of PCOS and abnormal metabolic parameters and could be considered as a biomarker for early diagnosis and clinic prediction of metabolic complications.


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How to Cite

Zaki M, Hassan N, El-Bassyouni HT, Kamal S, Basha W, Azmy O, Amr K. Association of the Pro12Ala Polymorphism with the Metabolic Parameters in Women with Polycystic Ovary Syndrome. Open Access Maced J Med Sci [Internet]. 2017 Jun. 13 [cited 2021 May 9];5(3):275-80. Available from:



A - Basic Science

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