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Association of 42 SNPs with genetic risk for cervical cancer: an extensive meta-analysis
BACKGROUND: A large number of single nucleotide polymorphisms (SNPs) associated with cervical cancer have been identified through candidate gene association studies and genome-wide association studies (GWAs). However, some studies have yielded different results for the same SNP. To obtain a more com...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4436168/ https://www.ncbi.nlm.nih.gov/pubmed/25928231 http://dx.doi.org/10.1186/s12881-015-0168-z |
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author | Wang, Shaoshuai Sun, Haiying Jia, Yao Tang, Fangxu Zhou, Hang Li, Xiong Zhou, Jin Huang, Kecheng Zhang, Qinghua Hu, Ting Yang, Ru Wang, Changyu Xi, Ling Deng, Dongrui Wang, Hui Wang, Shixuan Ma, Ding Li, Shuang |
author_facet | Wang, Shaoshuai Sun, Haiying Jia, Yao Tang, Fangxu Zhou, Hang Li, Xiong Zhou, Jin Huang, Kecheng Zhang, Qinghua Hu, Ting Yang, Ru Wang, Changyu Xi, Ling Deng, Dongrui Wang, Hui Wang, Shixuan Ma, Ding Li, Shuang |
author_sort | Wang, Shaoshuai |
collection | PubMed |
description | BACKGROUND: A large number of single nucleotide polymorphisms (SNPs) associated with cervical cancer have been identified through candidate gene association studies and genome-wide association studies (GWAs). However, some studies have yielded different results for the same SNP. To obtain a more comprehensive understanding, we performed a meta-analysis on previously published case–control studies involving the SNPs associated with cervical cancer. METHODS: Electronic searches of PubMed and Embase were conducted for all publications about the association between gene polymorphisms and cervical cancer. One-hundred and sixty-seven association studies were included in our research. For each SNP, three models (the allele, dominant and recessive effect models) were adopted in the meta-analysis. For each model, the effect summary odds ratio (OR) and 95% CI were calculated. Heterogeneity between studies was evaluated by Cochran’s Q test. If the p value of Q test was less than 0.01, a random effect model was used; otherwise, a fixed effect model was used. RESULTS: The results of our meta-analysis showed that: (1) There were 8, 2 and 8 SNPs that were significantly associated with cervical cancer (P < 0.01) in the allele, dominant and recessive effect models, respectively. (2) rs1048943 (CYP1A1 A4889G) showed the strongest association with cervical cancer in the allele effect model (1.83[1.57, 2.13]); in addition, rs1048943 (CYP1A1 A4889G) had a very strong association in the dominant and recessive effect model. (3) 15, 11 and 10 SNPs had high heterogeneity (P < 0.01) in the three models, respectively. (4) There was no published bias for most of the SNPs according to Egger’s test (P < 0.01) and Funnel plot analysis. For some SNPs, their association with cervical cancer was only tested in a few studies and, therefore, might have been subjected to published bias. More studies on these loci are required. CONCLUSION: Our meta-analysis provides a comprehensive evaluation of cervical cancer association studies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12881-015-0168-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4436168 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-44361682015-05-20 Association of 42 SNPs with genetic risk for cervical cancer: an extensive meta-analysis Wang, Shaoshuai Sun, Haiying Jia, Yao Tang, Fangxu Zhou, Hang Li, Xiong Zhou, Jin Huang, Kecheng Zhang, Qinghua Hu, Ting Yang, Ru Wang, Changyu Xi, Ling Deng, Dongrui Wang, Hui Wang, Shixuan Ma, Ding Li, Shuang BMC Med Genet Research Article BACKGROUND: A large number of single nucleotide polymorphisms (SNPs) associated with cervical cancer have been identified through candidate gene association studies and genome-wide association studies (GWAs). However, some studies have yielded different results for the same SNP. To obtain a more comprehensive understanding, we performed a meta-analysis on previously published case–control studies involving the SNPs associated with cervical cancer. METHODS: Electronic searches of PubMed and Embase were conducted for all publications about the association between gene polymorphisms and cervical cancer. One-hundred and sixty-seven association studies were included in our research. For each SNP, three models (the allele, dominant and recessive effect models) were adopted in the meta-analysis. For each model, the effect summary odds ratio (OR) and 95% CI were calculated. Heterogeneity between studies was evaluated by Cochran’s Q test. If the p value of Q test was less than 0.01, a random effect model was used; otherwise, a fixed effect model was used. RESULTS: The results of our meta-analysis showed that: (1) There were 8, 2 and 8 SNPs that were significantly associated with cervical cancer (P < 0.01) in the allele, dominant and recessive effect models, respectively. (2) rs1048943 (CYP1A1 A4889G) showed the strongest association with cervical cancer in the allele effect model (1.83[1.57, 2.13]); in addition, rs1048943 (CYP1A1 A4889G) had a very strong association in the dominant and recessive effect model. (3) 15, 11 and 10 SNPs had high heterogeneity (P < 0.01) in the three models, respectively. (4) There was no published bias for most of the SNPs according to Egger’s test (P < 0.01) and Funnel plot analysis. For some SNPs, their association with cervical cancer was only tested in a few studies and, therefore, might have been subjected to published bias. More studies on these loci are required. CONCLUSION: Our meta-analysis provides a comprehensive evaluation of cervical cancer association studies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12881-015-0168-z) contains supplementary material, which is available to authorized users. BioMed Central 2015-04-15 /pmc/articles/PMC4436168/ /pubmed/25928231 http://dx.doi.org/10.1186/s12881-015-0168-z Text en © Wang et al.; licensee BioMed Central . 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Wang, Shaoshuai Sun, Haiying Jia, Yao Tang, Fangxu Zhou, Hang Li, Xiong Zhou, Jin Huang, Kecheng Zhang, Qinghua Hu, Ting Yang, Ru Wang, Changyu Xi, Ling Deng, Dongrui Wang, Hui Wang, Shixuan Ma, Ding Li, Shuang Association of 42 SNPs with genetic risk for cervical cancer: an extensive meta-analysis |
title | Association of 42 SNPs with genetic risk for cervical cancer: an extensive meta-analysis |
title_full | Association of 42 SNPs with genetic risk for cervical cancer: an extensive meta-analysis |
title_fullStr | Association of 42 SNPs with genetic risk for cervical cancer: an extensive meta-analysis |
title_full_unstemmed | Association of 42 SNPs with genetic risk for cervical cancer: an extensive meta-analysis |
title_short | Association of 42 SNPs with genetic risk for cervical cancer: an extensive meta-analysis |
title_sort | association of 42 snps with genetic risk for cervical cancer: an extensive meta-analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4436168/ https://www.ncbi.nlm.nih.gov/pubmed/25928231 http://dx.doi.org/10.1186/s12881-015-0168-z |
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