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Kukal S, Thakran S, Kanojia N, Yadav S, Mishra MK, Guin D, Singh P, Kukreti R. Genic-intergenic polymorphisms of CYP1A genes and their clinical impact. Gene 2023; 857:147171. [PMID: 36623673 DOI: 10.1016/j.gene.2023.147171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 12/16/2022] [Accepted: 01/03/2023] [Indexed: 01/08/2023]
Abstract
The humancytochrome P450 1A (CYP1A) subfamily genes, CYP1A1 and CYP1A2, encoding monooxygenases are critically involved in biotransformation of key endogenous substrates (estradiol, arachidonic acid, cholesterol) and exogenous compounds (smoke constituents, carcinogens, caffeine, therapeutic drugs). This suggests their significant involvement in multiple biological pathways with a primary role of maintaining endogenous homeostasis and xenobiotic detoxification. Large interindividual variability exist in CYP1A gene expression and/or catalytic activity of the enzyme, which is primarily due to the existence of polymorphic alleles which encode them. These polymorphisms (mainly single nucleotide polymorphisms, SNPs) have been extensively studied as susceptibility factors in a spectrum of clinical phenotypes. An in-depth understanding of the effects of polymorphic CYP1A genes on the differential metabolic activity and the resulting biological pathways is needed to explain the clinical implications of CYP1A polymorphisms. The present review is intended to provide an integrated understanding of CYP1A metabolic activity with unique substrate specificity and their involvement in physiological and pathophysiological roles. The article further emphasizes on the impact of widely studied CYP1A1 and CYP1A2 SNPs and their complex interaction with non-genetic factors like smoking and caffeine intake on multiple clinical phenotypes. Finally, we attempted to discuss the alterations in metabolism/physiology concerning the polymorphic CYP1A genes, which may underlie the reported clinical associations. This knowledge may provide insights into the disease pathogenesis, risk stratification, response to therapy and potential drug targets for individuals with certain CYP1A genotypes.
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Affiliation(s)
- Samiksha Kukal
- Genomics and Molecular Medicine Unit, Institute of Genomics and Integrative Biology (IGIB), Council of Scientific and Industrial Research (CSIR), Delhi 110007, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Sarita Thakran
- Genomics and Molecular Medicine Unit, Institute of Genomics and Integrative Biology (IGIB), Council of Scientific and Industrial Research (CSIR), Delhi 110007, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Neha Kanojia
- Genomics and Molecular Medicine Unit, Institute of Genomics and Integrative Biology (IGIB), Council of Scientific and Industrial Research (CSIR), Delhi 110007, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Saroj Yadav
- Genomics and Molecular Medicine Unit, Institute of Genomics and Integrative Biology (IGIB), Council of Scientific and Industrial Research (CSIR), Delhi 110007, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Manish Kumar Mishra
- Genomics and Molecular Medicine Unit, Institute of Genomics and Integrative Biology (IGIB), Council of Scientific and Industrial Research (CSIR), Delhi 110007, India; Department of Biotechnology, Delhi Technological University, Shahbad Daulatpur, Main Bawana Road, Delhi 110042, India
| | - Debleena Guin
- Genomics and Molecular Medicine Unit, Institute of Genomics and Integrative Biology (IGIB), Council of Scientific and Industrial Research (CSIR), Delhi 110007, India; Department of Biotechnology, Delhi Technological University, Shahbad Daulatpur, Main Bawana Road, Delhi 110042, India
| | - Pooja Singh
- Genomics and Molecular Medicine Unit, Institute of Genomics and Integrative Biology (IGIB), Council of Scientific and Industrial Research (CSIR), Delhi 110007, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Ritushree Kukreti
- Genomics and Molecular Medicine Unit, Institute of Genomics and Integrative Biology (IGIB), Council of Scientific and Industrial Research (CSIR), Delhi 110007, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India.
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Sengupta D, Banerjee S, Mukhopadhyay P, Mitra R, Chaudhuri T, Sarkar A, Bhattacharjee G, Nath S, Roychoudhury S, Bhattacharjee S, Sengupta M. A comprehensive meta-analysis and a case-control study give insights into genetic susceptibility of lung cancer and subgroups. Sci Rep 2021; 11:14572. [PMID: 34272429 PMCID: PMC8285487 DOI: 10.1038/s41598-021-92275-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2020] [Accepted: 06/08/2021] [Indexed: 12/17/2022] Open
Abstract
Reports of genetic association of polymorphisms with lung cancer in the Indian subcontinent are often conflicting. To summarise and replicate published evidence for association with lung cancer and its subgroups. We performed a meta-analysis of candidate associations on lung cancer, its histological subtypes and smoking status in the Indian subcontinent following PRISMA guidelines. Multiple testing corrections were done by the Benjamini-Hochberg method through assessment of significance at a false discovery rate of 10%. We genotyped and investigated rs1048943/CYP1A1 in a case-control sample from eastern India, followed by its global meta-analysis using a similar protocol. Meta-analysis of 18 variants of 11 genes reported in 39 studies (7630 cases and 8169 controls) showed significant association of rs1048943/CYP1A1 [2.07(1.49-2.87)] and rs4646903/CYP1A1 [1.48(1.93-1.95)] with overall lung cancer risk at 10% FDR, while nominal association (p < 0.05) was observed for del1/GSTT1, del2/GSTM1, rs1695/GSTP1 and rs17037102/ DKK2. Subtype analysis showed a significant association of del1/GSTT1 with adenocarcinoma, rs4646903/CYP1A1 with squamous carcinoma, and rs1048943/CYP1A1 with both. Association of rs4646903/CYP1A1 in smokers and effect modification by meta-regression analysis was observed. Genotyping of rs1048943/CYP1A1 that presented significant heterogeneity (p < 0.1) revealed an association with adenocarcinoma among eastern Indian smokers, while a global meta-analysis in 10458 cases and 10871 controls showed association with lung cancer and its subgroups. This study identified the susceptibility loci for lung cancer and its covariate-subgroups.
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Affiliation(s)
- Debmalya Sengupta
- Department of Genetics, University of Calcutta, 35, Ballygunge Circular Road, Kolkata, 700019, India
| | - Souradeep Banerjee
- Department of Genetics, University of Calcutta, 35, Ballygunge Circular Road, Kolkata, 700019, India
| | - Pramiti Mukhopadhyay
- Greehey Children's Cancer Research Institute, UT Health San Antonio, 8403 Floyd Curl Dr., San Antonio, TX-78229, USA
| | - Ritabrata Mitra
- Department of CHEST, IPGME&R, 244 A.J.C. Bose Road, Kolkata, 700020, India
| | - Tamohan Chaudhuri
- Saroj Gupta Cancer Centre and Research Institute, Mahatma Gandhi Road, Thakurpukur, Kolkata, 700063, India
| | - Abhijit Sarkar
- Saroj Gupta Cancer Centre and Research Institute, Mahatma Gandhi Road, Thakurpukur, Kolkata, 700063, India
| | - Gautam Bhattacharjee
- Saroj Gupta Cancer Centre and Research Institute, Mahatma Gandhi Road, Thakurpukur, Kolkata, 700063, India
| | - Somsubhra Nath
- Saroj Gupta Cancer Centre and Research Institute, Mahatma Gandhi Road, Thakurpukur, Kolkata, 700063, India
| | - Susanta Roychoudhury
- CSIR-Indian Institute of Chemical Biology, 4, Raja S.C. Mullick Road, Kolkata, 700032, India
| | - Samsiddhi Bhattacharjee
- National Institute of Biomedical Genomics, Near Netaji Subhas Sanatorium Post Office, Kalyani, West Bengal, 741251, India.
| | - Mainak Sengupta
- Department of Genetics, University of Calcutta, 35, Ballygunge Circular Road, Kolkata, 700019, India.
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Zhang WP, Yang C, Xu LJ, Wang W, Song L, He XF. Individual and combined effects of GSTM1, GSTT1, and GSTP1 polymorphisms on lung cancer risk: A meta-analysis and re-analysis of systematic meta-analyses. Medicine (Baltimore) 2021; 100:e26104. [PMID: 34190143 PMCID: PMC8257913 DOI: 10.1097/md.0000000000026104] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2019] [Accepted: 12/12/2020] [Indexed: 01/04/2023] Open
Abstract
Thirty-five previous meta-analyses have been reported on the individual glutathione S-transferase M1 (GSTM1) present/null, glutathione S-transferase T1 (GSTT1) present/null, and glutathione S-transferase P1 (GSTP1) IIe105Val polymorphisms with lung cancer (LC) risk. However, they did not appraise the credibility and explore the combined effects between the 3 genes and LC risk.We performed a meta-analysis and re-analysis of systematic previous meta-analyses to solve the above problems.Meta-analyses of Observational Studies in Epidemiology guidelines were used. Moreover, we employed false-positive report probability (FPRP), Bayesian false discovery probability (BFDP), and the Venice criteria to verify the credibility of current and previous meta-analyses.Significantly increased LC risk was considered as "highly credible" or "positive" for GSTM1 null genotype in Japanese (odds ratio (OR) = 1.30, 95% confidence interval (CI) = 1.17-1.44, I2 = 0.0%, statistical power = 0.997, FPRP = 0.008, BFDP = 0.037, and Venice criteria: AAB), for GSTT1 null genotype in Asians (OR = 1.23, 95% CI = 1.12-1.36, I2 = 49.1%, statistical power = 1.000, FPRP = 0.051, BFDP = 0.771, and Venice criteria: ABB), especially Chinese populations (OR = 1.31, 95% CI = 1.16-1.49, I2 = 48.9%, Statistical power = 0.980, FPRP = 0.039, BFDP = 0.673, and Venice criteria: ABB), and for GSTP1 IIe105Val polymorphism in Asians (Val vs IIe: OR = 1.28, 95% CI = 1.17-1.42, I2 = 30.3%, statistical power = 0.999, FPRP = 0.003, BFDP = 0.183, and Venice criteria: ABB). Significantly increased lung adenocarcinoma (AC) risk was also considered as "highly credible" or "positive" in Asians for the GSTM1 (OR = 1.35, 95% CI = 1.22-1.48, I2 = 25.5%, statistical power = 0.988, FPRP < 0.001, BFDP < 0.001, and Venice criteria: ABB) and GSTT1 (OR = 1.36, 95% CI = 1.17-1.58, I2 = 30.2%, statistical power = 0.900, FPRP = 0.061, BFDP = 0.727, and Venice criteria: ABB) null genotype.This study indicates that GSTM1 null genotype is associated with increased LC risk in Japanese and lung AC risk in Asians; GSTT1 null genotype is associated with increased LC risk in Chinese, and GSTP1 IIe105Val polymorphism is associated with increased LC risk in Asians.
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Affiliation(s)
- Wen-Ping Zhang
- Department of Cardiothoracic Surgery, Heping Hospital Affiliated to Changzhi Medical College
| | - Chen Yang
- Teaching Reform Class of 2016 of the First Clinical College, Changzhi Medical College, Shanxi, Changzhi City
| | - Ling-Jun Xu
- Department of Pain Management, the First Affiliated Hospital, Jinan University, Guangzhou City
| | - Wei Wang
- Beijing Zhendong Guangming Pharmaceutical Research Institute Co Ltd, Beijing City
| | | | - Xiao-Feng He
- Department of Science and Education, Heping Hospital Affiliated to Changzhi Medical College, Shanxi, Changzhi City, PR China
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Pathak AK, Husain N, Kant S, Bala L. Independent and Interactive Effect of CYPs and GSTs Genetic Variants and Tobacco Smoking on the Risk of Non-Small Cell Lung Carcinoma. Arch Med Res 2021; 52:719-730. [PMID: 34092421 DOI: 10.1016/j.arcmed.2021.05.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2020] [Revised: 03/05/2021] [Accepted: 05/03/2021] [Indexed: 11/27/2022]
Abstract
BACKGROUND CYP and GST gene families detoxify tobacco carcinogens and have been linked to the risk of non-small cell lung carcinoma (NSCLC). AIM Independent and combined effects of CYP and GST genetic variations and smoking on the risk of non-small cell lung carcinoma (NSCLC) and its sub-histological types. METHODS We modelled an epistatic interaction via the effects of particular genotypes in two genes as OR (odds ratio), OR1, and OR2, a combination of both genotypes were characterized as ORcombine. In contrast, the two ORs' epistatic interaction for the individual genotypes has been represented as ORinteraction = ORcombine/(OR1 × OR2). RESULTS The variant genotypes of CYP2A6 (OR:4.2, p <0.001), GSTT1 (OR:3.9, p <0.001), and GSTM1 (OR: 4.5, p <0.001) were showed a significant risk with NSCLC. GSTM1 (del.)/CYP2A6 (variant) genotype was associated with a higher risk of NSCLC (OR:12.5, p <0.001). GSTM1 (del.)/CYP2A6 (Ser/Pro+Pro/Pro) and GSTM1 (del.)/CYP2A13 (CT+TT) interacted redundantly (ORintraction = 0.66 and 0.64). A co-suppressive interaction was observed between GSTT1 (del.)/CYP2A6 (Ser/Pro+Pro/Pro) (ORintraction = 0.41). Simultaneously, both GSTT1/GSTM1 del. genotype was associated with a significantly higher risk to NSCLC. In contrast, GSTT1 del./GSTM1 del. genotype interaction displayed a co-suppressive effect (ORintraction = 0.15). CYP1A1(TC+CC)/CYP2A13(CT+TT)mutually interacted synergistically (ORintraction = 1.27).CYP1A1 (TC+CC)/GSTP1 (Val/Val+Ile/Val) genotype demonstrated an additive (ORintraction = 1) effect. GSTP1(Val/Val+Ile/Val) interacts with GSTT1 (del.) genotype exerted a suppressive effect (ORintraction = 0.69). CYP2A6 in smokers increased risk by 4.2 (p = 0.001) to 5.6 fold (p <0.001), while GSTM1 and GSTT1 were independent of smoking. CONCLUSION Epistatic interactions revealed that CYPs/GSTs might follow a web of the interactions to modify the risk of NSCLC.
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Affiliation(s)
- Anumesh K Pathak
- Department of Pathology and Molecular Pathology Lab., Dr. Ram Manohar Lohia Institute of Medical Sciences (Dr. RMLIMS), Lucknow 226010, India
| | - Nuzhat Husain
- Department of Pathology and Molecular Pathology Lab., Dr. Ram Manohar Lohia Institute of Medical Sciences (Dr. RMLIMS), Lucknow 226010, India.
| | - Surya Kant
- Department of Pathology and Molecular Pathology Lab., Dr. Ram Manohar Lohia Institute of Medical Sciences (Dr. RMLIMS), Lucknow 226010, India
| | - Lakshmi Bala
- Department of Pathology and Molecular Pathology Lab., Dr. Ram Manohar Lohia Institute of Medical Sciences (Dr. RMLIMS), Lucknow 226010, India
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Sengupta D, Banerjee S, Mukhopadhyay P, Guha U, Ganguly K, Bhattacharjee S, Sengupta M. A meta-analysis and in silico analysis of polymorphic variants conferring breast cancer risk in the Indian subcontinent. Future Oncol 2020; 16:2121-2142. [PMID: 32744066 DOI: 10.2217/fon-2020-0333] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Background: Genetic association studies on breast cancer on the Indian subcontinent have yielded conflicting results, and the precise effect of these variants on breast cancer pathogenesis is not known. Methods: Genomic variants, as obtained from selected studies from the Indian subcontinent, were subjected to random-effects and fixed-effect meta-analysis. Functional annotation of the relevant variants was done through a tried and tested in silico pipeline. Results: We found rs4646903/CYP1A1, rs1799814/CYP1A1, rs61886492/GCPII, del2/GSTM1, rs4680/COMT and rs1801394/MTRR to be associated with breast cancer. The del2/GSTM1 holds the association in premenopausal women. Conclusions: This is the first study of its kind from the Indian subcontinent analysing the extent of association of variants across populations followed by their functional annotation in the disease pathway.
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Affiliation(s)
- Debmalya Sengupta
- Department of Genetics, University of Calcutta, 35, Ballygunge Circular Road, Kolkata 700019, India
| | - Souradeep Banerjee
- Department of Genetics, University of Calcutta, 35, Ballygunge Circular Road, Kolkata 700019, India
| | - Pramiti Mukhopadhyay
- Department of Genetics, University of Calcutta, 35, Ballygunge Circular Road, Kolkata 700019, India
| | - Udayan Guha
- Department of Genetics, University of Calcutta, 35, Ballygunge Circular Road, Kolkata 700019, India
| | - Kausik Ganguly
- Department of Genetics, University of Calcutta, 35, Ballygunge Circular Road, Kolkata 700019, India
| | - Samsiddhi Bhattacharjee
- National Institute of Biomedical Genomics, Near Netaji Subhas Sanatorium Post Office, Kalyani, West Bengal 741251, India
| | - Mainak Sengupta
- Department of Genetics, University of Calcutta, 35, Ballygunge Circular Road, Kolkata 700019, India
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Shahrokhzadeh S, Soleimani A, Kordi-Tamandani DM, Sangtarash MH, Nejati O, Taheri M. Association of Genetic Polymorphisms in GSTP1, GSTM1, and GSTT1 Genes with Vesicoureteral Reflux Susceptibility in the Children of Southeast Iran. IRANIAN JOURNAL OF PUBLIC HEALTH 2020; 49:1364-1371. [PMID: 33083304 PMCID: PMC7548483 DOI: 10.18502/ijph.v49i7.3591] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Background: Vesicoureteral reflux (VUR) disease is the most common type of urinary tract anomalies in children. Genetic risk factors may be associated with the etiology of VUR. The role of the Glutathione S-transferases (GSTs) as multifunctional enzymes is cellular oxidative stress handling. This is the first study aimed at evaluating the relative risk of GSTP1, GSTM1, and GSTT1 polymorphisms in VUR susceptibility in children and provides new important insights into the genetics of affected children. Methods: The study was done in 2013 in Sistan and Baluchestan University, eastern Iran. Genotyping of three GSTP1, GSTM1, and GSTT1 genes were determined using the multiplex polymerase chain reaction assay in 216 reactions for 72 VUR children and 312 reactions for 104 healthy controls. Results: The presence of GSTT1 deletion was associated with high risk of VUR in children, whereas GSTP1 and GSTM1 genotypes did not show the same effect. Furthermore, the combination of GSTT1/GSTM1 and GSTT1/ GSTP1 genotypes showed a significant influence on lower risk of VUR in children. Conclusion: Deletion of GSTT1 functional gene is a genetic risk factor causing VUR in children. Interestingly, the combination of GSTM1 and GSTP1 null genotypes with GSTT1 has shown a protective role against risk of GSTT1 deletion.
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Affiliation(s)
- Sima Shahrokhzadeh
- Department of Biology, University of Sistan and Baluchestan, Zahedan, Iran
| | - Azam Soleimani
- Legal Medicine Research Center, Legal Medicine Organization, Tehran, Iran
| | | | | | - Omid Nejati
- Department of Paramedics, Mashhad Medical Sciences Branch, Islamic Azad University, Mashhad, Iran
| | - Mohsen Taheri
- Genetics of Non-Communicable Diseases Research Center, Zahedan University of Medical Sciences, Zahedan, Iran
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Waterpipe tobacco smoking and gene variants of CYP1A1-Ile462Val and -MspI polymorphisms are possibly associated with the risk of lung cancer in the Iraqi population. Meta Gene 2020. [DOI: 10.1016/j.mgene.2019.100623] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
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Sengupta D, Guha U, Mitra S, Ghosh S, Bhattacharjee S, Sengupta M. Meta-Analysis of Polymorphic Variants Conferring Genetic Risk to Cervical Cancer in Indian Women Supports CYP1A1
as an Important Associated Locus. Asian Pac J Cancer Prev 2018; 19:2071-2081. [PMID: 30139066 PMCID: PMC6171405 DOI: 10.22034/apjcp.2018.19.8.2071] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Objective: Association of multiple polymorphic variants with cervical cancer has been elucidated by several
candidate gene based as well as genome-wide association studies. However, contradictory outcomes of those studies
have failed to estimate the true effect of the polymorphic variants on cervical cancer. Methods: Literature mining of
the PubMed database was done to gather all the publications related to genetic association with cervical cancer in India.
Out of 98 PubMed hits only 29 genetic association studies were selected for meta-analysis based on specific inclusion
criteria. A fixed-effect meta-analysis was performed to evaluate the overall association of the genetic polymorphisms
with cervical cancer. Cochran’s Q test was performed to assess between study heterogeneity. Publication bias was
also estimated by funnel plots and Egger’s regression test. Further, sub-group analysis was conducted by fixed-effect
meta-regression to assess the impact of polymorphisms on cervical cancer in the presence of Human Papilloma Virus
(HPV). Result: Following a fixed-effect model, meta-analysis was conducted that revealed 2 polymorphic variants
viz. ‘deletion polymorphism (Del2) (OR=1.79, 95% CI= 1.08-2.95, P=0.023) in GSTM1’ and ‘rs1048943 (OR = 2.34,
95% CI=1.37-3.99, P=0.0018) in CYP1A1’ to be associated with cervical cancer. However, multiple testing correction
showed only rs1048943 of CYP1A1 to be significantly associated (P-value=0.029) with cervical cancer with significant
publication bias (P-value=0.0113) as estimated by Egger’s regression test. The polymorphic variants ‘rs1801131’,
‘rs1801133’, ‘rs2430561’, ‘rs1799782’, ‘rs25486’ and ‘rs25487’ showed significant (p<0.05) evidence of heterogeneity
between studies by Cochran’s Q test and also by heterogeneity index (I2) calculation. Conclusion: Therefore, our study
revealed significant association of rs1048943 in CYP1A1, but a nominal association of deletion polymorphism (Del2)
in GSTM1 with cervical cancer, which provides a comprehensive insight on the true effect of the polymorphisms,
reported in various case-control studies, on the risk of the development of cervical cancer in Indian women.
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