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DNA base excision repair genes variants rs25487 (X-ray repair cross-complementing 1) and rs1052133 (human 8-oxoguanine glycosylase 1) with susceptibility to ovarian cancer in the population of the Jammu region, India


1 School of Biotechnology, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, India
2 Department of Obstetrics and Gynecology, Government Medical College, Jammu, Jammu and Kashmir, India
3 Department of Pathology, Government Medical College, Jammu, Jammu and Kashmir, India
4 Department of Radiotherapy, Government Medical College, Jammu, Jammu and Kashmir, India
5 Shri Mata Vaishno Devi Narayana Superspeciality Hospital, Katra, Jammu and Kashmir, India
6 Centre for Molecular Biology, Central University, Jammu, Jammu and Kashmir, India

Correspondence Address:
Rakesh Kumar,
Department of Biotechnology, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir
India
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/jcrt.JCRT_65_18

Background: Ovarian cancer is highly prevalent in the population of Jammu, in India; the ovarian cancer ranks third among other types of cancer prevalent in females. However, association studies on ovarian cancer are lacking in this region. We aimed to investigate the disease susceptible variants rs1052133 (human 8-oxoguanine glycosylase 1 [hOGG1]) and rs25487 (X-ray repair cross-complementing 1 [XRCC1]) with ovarian cancer in population of Jammu, India. Materials and Methods: The study conducted in the Shri Mata Vaishno Devi University is a 3-year study which included a total of 280 well-characterized samples (130 ovarian cancer cases and 150 healthy controls). hOGG1 and XRCC1 polymorphisms were determined by polymerase chain reaction-based restriction fragment length polymorphism, and these genotyping results were confirmed by Sanger sequencing. Hardy–Weinberg equilibrium for both single-nucleotide polymorphisms (SNPs) was assessed using the Chi-square test. The allele and genotype-specific risks were estimated by odds ratios with 95% confidence intervals. Results: In this preliminary study, SNP rs1052133 showed protection with ovarian cancer (P = 0.042). The SNP rs25487 was not found associated with ovarian cancer (P = 0.271). Conclusion: Our results indicate that the G allele of rs1052133 imparts protection to the population whereas variant rs25487 was not associated with ovarian cancer in population from the Jammu region, indicating that larger sample size is needed for further statistical validation. Further, association of other SNPs in these genes should also be carried out as their role cannot be ruled out.


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