New Search

Export article

A Case-control Study on the Association of Mitochondrial Transcription Factor a Gene +35G/C Polymorphism and Mitochondrial DNA Copy Number with the Risk of Endometriosis in Indian Women

Himabindu Beeram, Tumu Venkat Reddy, Suresh Govatati, Swapna Siddamalla, Mamata Deenadayal, Sisinthy Shivaji,

Abstract: Aim: The Mitochondrial transcription factor A (TFAM) and mitochondrial (mt) DNA copy number variations are known to contribute in disease development. Genetic factors play an important role in the development of endometriosis. Therefore, this case–control study aimed to analyze the association of TFAM+35G/C polymorphism and mitochondrial copy number with the risk of endometriosis in Indian women. Study Design: This study was carried out on 418 subjects including 200 endometriosis cases and 218 controls. Methodology: Genotyping of TFAM +35G/C polymorphism (rs1937) was carried out by polymerase chain reaction and restriction fragment length polymorphism (PCR-RFLP). Quantification of mtDNA copy number was carried out using a real time quantitative polymerase chain reaction (qRT-PCR). Place and Duration of Study: Department of Biochemistry, Osmania University, 2014 to 2020. Results: TFAM genotype as well as allele distributions were all in Hardy-Weinberg equilibrium. The results indicated a significant reduction of GG genotype frequency (P=0.009), high ‘C’ allele frequency (P=0.017) and significantly decreased mtDNA copy number in endometriosis cases compared to controls (P= 0.0001). Conclusion: Present study revealed a statistically significant association of decreased GG genotype of TFAM +35G/C polymorphism and mtDNA copy number with the risk of developing endometriosis in Indian women.
Keywords: copy number / transcription factor / Mitochondrial / polymorphism / endometriosis / TFAM / mtDNA / Indian / genotype / 35G/C

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

Share this article

Click here to see the statistics on "International Journal of Biochemistry Research & Review" .
Back to Top Top