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A case-control study of the association between the EGFR gene and glioma risk in a Chinese Han population
The Epidermal Growth Factor Receptor gene has been reported to be involved in the progression of gliomas which is one of the deadliest primary brain tumors in humans. To determine potential association between EGFR and glioma risk, we performed a case-control study with 394 glioma patients and 298 c...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5601781/ https://www.ncbi.nlm.nih.gov/pubmed/28938685 http://dx.doi.org/10.18632/oncotarget.16946 |
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author | Yan, Mengdan Li, Jingjie He, Na Shi, Xugang Du, Shuli Li, Bin Jin, Tianbo |
author_facet | Yan, Mengdan Li, Jingjie He, Na Shi, Xugang Du, Shuli Li, Bin Jin, Tianbo |
author_sort | Yan, Mengdan |
collection | PubMed |
description | The Epidermal Growth Factor Receptor gene has been reported to be involved in the progression of gliomas which is one of the deadliest primary brain tumors in humans. To determine potential association between EGFR and glioma risk, we performed a case-control study with 394 glioma patients and 298 cancer-free controls in which captured a total of 8 tag single nucleotide polymorphisms of EGFR gene from Xi’an, China. SPSS 19.0 statistical packages, χ(2) test, genetic model analysis and SHEsis software platform were analyzed s the variants in EGFR gene associations with glioma risk. For five different inheritance models analyzed, the following genotypes were associated with increased glioma risk. In the codominant model, genotype CC (rs730437, OR = 1.93, p = 0.024; rs1468727, OR = 2.02, p = 0.007); In the dominant model, genotype CA and CC (rs730437, OR = 1.45, p = 0.026), genotype GA and AA (rs845552, OR = 1.40, p = 0.044); In the recessive model, genotype CC (rs730437, OR = 1.64, p = 0.026; rs1468727, OR = 1.87, p = 0.002); In the additive model, genotype CC (rs730437, OR = 1.32, p = 0.006; rs1468727, OR = 1.39, p = 0.005), genotype GG (rs11506105, OR = 1.32, p = 0.02) and genotype AA (rs845552, OR = 1.27, p = 0.04). Our study indicated that 8 mutants located in EGFR gene were risk-conferring factors, larger and different populations with EGFR polymorphisms are required to verify these associations. |
format | Online Article Text |
id | pubmed-5601781 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-56017812017-09-21 A case-control study of the association between the EGFR gene and glioma risk in a Chinese Han population Yan, Mengdan Li, Jingjie He, Na Shi, Xugang Du, Shuli Li, Bin Jin, Tianbo Oncotarget Clinical Research Paper The Epidermal Growth Factor Receptor gene has been reported to be involved in the progression of gliomas which is one of the deadliest primary brain tumors in humans. To determine potential association between EGFR and glioma risk, we performed a case-control study with 394 glioma patients and 298 cancer-free controls in which captured a total of 8 tag single nucleotide polymorphisms of EGFR gene from Xi’an, China. SPSS 19.0 statistical packages, χ(2) test, genetic model analysis and SHEsis software platform were analyzed s the variants in EGFR gene associations with glioma risk. For five different inheritance models analyzed, the following genotypes were associated with increased glioma risk. In the codominant model, genotype CC (rs730437, OR = 1.93, p = 0.024; rs1468727, OR = 2.02, p = 0.007); In the dominant model, genotype CA and CC (rs730437, OR = 1.45, p = 0.026), genotype GA and AA (rs845552, OR = 1.40, p = 0.044); In the recessive model, genotype CC (rs730437, OR = 1.64, p = 0.026; rs1468727, OR = 1.87, p = 0.002); In the additive model, genotype CC (rs730437, OR = 1.32, p = 0.006; rs1468727, OR = 1.39, p = 0.005), genotype GG (rs11506105, OR = 1.32, p = 0.02) and genotype AA (rs845552, OR = 1.27, p = 0.04). Our study indicated that 8 mutants located in EGFR gene were risk-conferring factors, larger and different populations with EGFR polymorphisms are required to verify these associations. Impact Journals LLC 2017-04-07 /pmc/articles/PMC5601781/ /pubmed/28938685 http://dx.doi.org/10.18632/oncotarget.16946 Text en Copyright: © 2017 Yan et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 (http://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Clinical Research Paper Yan, Mengdan Li, Jingjie He, Na Shi, Xugang Du, Shuli Li, Bin Jin, Tianbo A case-control study of the association between the EGFR gene and glioma risk in a Chinese Han population |
title | A case-control study of the association between the EGFR gene and glioma risk in a Chinese Han population |
title_full | A case-control study of the association between the EGFR gene and glioma risk in a Chinese Han population |
title_fullStr | A case-control study of the association between the EGFR gene and glioma risk in a Chinese Han population |
title_full_unstemmed | A case-control study of the association between the EGFR gene and glioma risk in a Chinese Han population |
title_short | A case-control study of the association between the EGFR gene and glioma risk in a Chinese Han population |
title_sort | case-control study of the association between the egfr gene and glioma risk in a chinese han population |
topic | Clinical Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5601781/ https://www.ncbi.nlm.nih.gov/pubmed/28938685 http://dx.doi.org/10.18632/oncotarget.16946 |
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