Evaluation of a Novel <i>MAGEC1</i> Variant and Susceptibility to Ovarian Cancer in the North Indian Population

<b><i>Objective:</i></b> To check the correlation between the MAGE Family Member C1 (<i>MAGEC1)</i> gene variant rs176036 and ovarian cancer risk among the Jammu and Kashmir population. <b><i>Methodology:</i></b> A case-control association study of the <i>MAGEC1</i> gene variant rs176036 (G > A) and ovarian cancer. The variation was identified through whole exome sequencing, and the selected variant was genotyped in 111 patients with ovarian cancer and 107 healthy controls belonging to the Jammu and Kashmir region of North India using Sanger sequencing to confirm its association with the ovarian cancer. Odds ratio (OR) and other statistical values were calculated using standard tools. <b><i>Results:</i></b> The allelic frequency distribution was found to be similar between cases and controls, with the dominant allele (G) present in 89.6% of cases and 90.2% of controls (<i>p</i> = 0.84). The allelic OR for the dominant allele was 1.08 (0.55-2.11), which is nonsignificant (<i>p</i> = 0.83). <b><i>Conclusion:</i></b> The present study suggests that the rs176036 variant does not confer any increased risk of ovarian cancer among population of Jammu and Kashmir.

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Publication Details

Journal
Genetic Testing and Molecular Biomarkers
Published
2025-07-01
DOI
https://doi.org/10.1089/gtmb.2025.0029
Primary Topic
Ovarian cancer diagnosis and treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Evaluation of a Novel MAGEC1 Variant and Susceptibility to Ovarian Cancer in the North Indian Population

Ruchi Shah, Manushi Dhar, Gresh Chander, Rajeshwer Singh Jamwal et al.
Genetic Testing and Molecular Biomarkers
Ovarian cancer diagnosis and treatment
article

Evaluation of a Novel MAGEC1 Variant and Susceptibility to Ovarian Cancer in the North Indian Population

Ruchi Shah, Manushi Dhar, Gresh Chander, Rajeshwer Singh Jamwal, Audesh Bhat, Supinder Singh, Rakesh Kumar, Minerva Sharma, Ziya Tufail, Sonali Verma, Bhawani Shankar Sharma, Vanshika Bhagat
article en

Abstract

<b><i>Objective:</i></b> To check the correlation between the MAGE Family Member C1 (<i>MAGEC1)</i> gene variant rs176036 and ovarian cancer risk among the Jammu and Kashmir population. <b><i>Methodology:</i></b> A case-control association study of the <i>MAGEC1</i> gene variant rs176036 (G > A) and ovarian cancer. The variation was identified through whole exome sequencing, and the selected variant was genotyped in 111 patients with ovarian cancer and 107 healthy controls belonging to the Jammu and Kashmir region of North India using Sanger sequencing to confirm its association with the ovarian cancer. Odds ratio (OR) and other statistical values were calculated using standard tools. <b><i>Results:</i></b> The allelic frequency distribution was found to be similar between cases and controls, with the dominant allele (G) present in 89.6% of cases and 90.2% of controls (<i>p</i> = 0.84). The allelic OR for the dominant allele was 1.08 (0.55-2.11), which is nonsignificant (<i>p</i> = 0.83). <b><i>Conclusion:</i></b> The present study suggests that the rs176036 variant does not confer any increased risk of ovarian cancer among population of Jammu and Kashmir.

Genetic Testing and Molecular BiomarkersVol. 29(7)
Indian Institute of Science Education and Research, Bhopal (IN), Central University of Jammu (IN), Shri Mata Vaishno Devi University (IN)
Good health and well-being
Openalex Percentile: Top 77%
Ovarian cancer diagnosis and treatment
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Evaluation of a Novel <i>MAGEC1</i> Variant and Susceptibility to Ovarian Cancer in the North Indian Population — Ruchi Shah, Manushi Dhar, et al. · Genetic Testing and Molecular Biomarkers (2025) | TGRS Research Map | TGRS