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ORIGINAL ARTICLE |
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Year : 2022 |
Volume
: 15 | Issue : 2 | Page
: 191-196 |
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MTR, MTRR and CBS gene polymorphisms in recurrent miscarriages: A case control study from North India
Seerat Talwar1, Sweta Prasad1, Lovejeet Kaur2, Jyoti Mishra3, Manju Puri3, Mohinder Pal Sachdeva4, Kallur Nava Saraswathy4
1 Department of Anthropology, Laboratory of Biochemical and Molecular Anthropology, University of Delhi, New Delhi, India 2 Maternal and Child Health Division, Translational Health Science and Technology Institute, Faridabad, Haryana, India 3 Department of Obstetrics and Gynaecology, Lady Hardinge Medical College and SMT, Sucheta Kriplani Hospital, New Delhi, India 4 Department of Anthropology, University of Delhi, New Delhi, India
Correspondence Address:
Kallur Nava Saraswathy Department of Anthropology, University of New Delhi India
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/jhrs.jhrs_186_21
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Context: According to various epidemiological studies, the aetiology of recurrent miscarriages (RMs) is multifactorial. The goal of this study is to learn more about the link between genetic polymorphisms and RM. Aim: To evaluate the association of 5-Methytetrahydrofolate-Homocysteine Methyltransferase (MTR) A2756G, 5-Methytetrahydrofolate-Homocysteine Methyltransferase Reductase (MTRR) A66G and cystathionine beta-synthase (CBS) 844INS68 genetic polymorphisms with RM and also to understand the combined effect of the selected genotypes. Setting and Design: This was a hospital-based, case–control, observational study. Materials and Methods: A total of 516 participants were recruited in the present study, of which 200 RM cases and 258 controls were included in the present study. Fasting blood sample (~5ml) was drawn from all the participants and were screened for genetic polymorphisms of MTR A2756G, MTRR A66G and CBS 844INS68. Statistical Analysis Used: The frequency, odd's ratio and Hardy-Weinberg equilibrium were evaluated. SPSS (version 21.0) was used for the data analysis. Results: MTR A2756G genetic polymorphism was not associated with the risk of RM. The ancestral allele of MTRR A66G and the mutant allele of CBS 844INS68 was causing an increased risk of more than two folds for RM. CBS 844INS68 in combination with MTR A2756G was found to pose an increased risk of more than two folds for RM. Conclusion: Genetic polymorphisms particularly MTRR A66G and CBS 844INS68 seems to be elevating the risk and hence making women susceptible for RM.
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