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Link between PON 1 gene mutation and recurrent miscarriage among women exposed to pesticides in North India is insignificant



Akancha Pandey1, Shyam Pyari Jaiswar1,*, Sujata Deo1, Pushplata Sankhwar1, Mohammad Kaleem
Ahmad2, Shriya Pant3



1Department of Obstetrics and Gynecology, King Georg’s Medical University, Lucknow, Uttar Pradesh, India; 2Department of Biochemistry, King Georg’s Medical University, Lucknow, Uttar Pradesh, India; 3Department of Urology, King Georg’s Medical University, Lucknow, Uttar Pradesh, India



Akancha Pandey – akancha0506@gmail.com; E-mail: Shyam Pyari Jaiswar – E-mail:
spjaiswar@yahoo.com*Corresponding Author


Article Type

Research Article



Submitted on August 31, 2020; Revision September 14, 2020; Accepted September 14, 2020; Published October 31, 2020



Recurrent miscarriage is a loss of disconcerting disorder characterized by RPL (recurrent pregnancy loss) of pregnancy, affecting around 1-2% of couples trying to conceive. Exposure to pesticide affects spontaneous abortion, and infertility in women. Placental oxidative stress is often linked to miscarriage. Therefore, it is of interest to link PON1 (Q1922R) polymorphism with recurrent pregnancy loss. We selected 200 subjects in which 100 patients with RPL having consecutive 2 or more miscarriages and 100 healthy controls from the northern India for this study. Blood samples were collected for DNA isolation and further assessment. Genotyping of the Q1922R polymorphism was completed using the RFLP markers. The digested PCR product size was 99 bp (control). The heterozygous fragments were found to be 66 and 33 bp homozygous mutants. It was observed that allele frequency homozygous (TT) was more prevalent among control than the case groups among the healthy north-Indian population. However, heterozygous group (Tt) was more in cases compared to control groups as well as homozygous mutant was observed high in control in than case (CI-0.3 to 1.3).



Recurrent pregnancy loss, Polymorphism, Pesticides, PON1, RFLP.



Pandey et al. Bioinformation 16(10): 779-785 (2020)


Edited by

P Kangueane






Biomedical Informatics



This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.