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The associations between common SNPs of EFEMP1 gene and glioma risk in Chinese population
BACKGROUND: Although the associations between common single nucleotide polymorphisms (SNPs) of EFEMP1 gene and glioma risk have been investigated in Chinese population-based case–control studies, investigation results for several SNPs are inconsistent. In addition, the single-center study has a poor...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5683781/ https://www.ncbi.nlm.nih.gov/pubmed/29158681 http://dx.doi.org/10.2147/OTT.S143610 |
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author | Hu, Jun Dong, Dong Lu, Dandan |
author_facet | Hu, Jun Dong, Dong Lu, Dandan |
author_sort | Hu, Jun |
collection | PubMed |
description | BACKGROUND: Although the associations between common single nucleotide polymorphisms (SNPs) of EFEMP1 gene and glioma risk have been investigated in Chinese population-based case–control studies, investigation results for several SNPs are inconsistent. In addition, the single-center study has a poor statistical power due to finite sample size. Therefore, a meta-analysis was conducted to comprehensively determine the associations. METHODS: All eligible case–control studies were obtained by searching PubMed, EMBASE, Web of Science, and Chinese National Knowledge Infrastructure. Pooled odds ratio (OR) with 95% confidence interval (CI) was used to assess the strength of the associations in fixed- or random-effects model. RESULTS: EFEMP1 rs1346787 polymorphism was significantly associated with glioma risk in Chinese population under all genetic models (GG vs AA, OR =2.22, 95% CI =1.46–3.36; AG vs AA, OR =1.54, 95% CI =1.27–1.87; (GG+AG) vs AA, OR =1.60, 95% CI =1.34–1.93; GG vs (AG+AA), OR =1.86, 95% CI =1.24–2.78; G vs A, OR =1.54, 95% CI =1.32–1.79). However, the significant association of EFEMP1 rs1346786 with glioma risk in Chinese population was observed only under heterozygous model of AG vs AA (OR =1.34, 95% CI =1.10–1.62), dominant model of (GG+AG) vs AA (OR =1.36, 95% CI =1.13–1.63), and allelic model of G vs A (OR =1.28, 95% CI =1.10–1.50). CONCLUSION: Our study demonstrated that EFEMP1 polymorphisms, especially rs1346787 and rs1346786, might predict glioma risk in Chinese population. However, high-quality case–control studies with larger sample sizes are warranted to confirm the above-mentioned findings. |
format | Online Article Text |
id | pubmed-5683781 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Dove Medical Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-56837812017-11-20 The associations between common SNPs of EFEMP1 gene and glioma risk in Chinese population Hu, Jun Dong, Dong Lu, Dandan Onco Targets Ther Original Research BACKGROUND: Although the associations between common single nucleotide polymorphisms (SNPs) of EFEMP1 gene and glioma risk have been investigated in Chinese population-based case–control studies, investigation results for several SNPs are inconsistent. In addition, the single-center study has a poor statistical power due to finite sample size. Therefore, a meta-analysis was conducted to comprehensively determine the associations. METHODS: All eligible case–control studies were obtained by searching PubMed, EMBASE, Web of Science, and Chinese National Knowledge Infrastructure. Pooled odds ratio (OR) with 95% confidence interval (CI) was used to assess the strength of the associations in fixed- or random-effects model. RESULTS: EFEMP1 rs1346787 polymorphism was significantly associated with glioma risk in Chinese population under all genetic models (GG vs AA, OR =2.22, 95% CI =1.46–3.36; AG vs AA, OR =1.54, 95% CI =1.27–1.87; (GG+AG) vs AA, OR =1.60, 95% CI =1.34–1.93; GG vs (AG+AA), OR =1.86, 95% CI =1.24–2.78; G vs A, OR =1.54, 95% CI =1.32–1.79). However, the significant association of EFEMP1 rs1346786 with glioma risk in Chinese population was observed only under heterozygous model of AG vs AA (OR =1.34, 95% CI =1.10–1.62), dominant model of (GG+AG) vs AA (OR =1.36, 95% CI =1.13–1.63), and allelic model of G vs A (OR =1.28, 95% CI =1.10–1.50). CONCLUSION: Our study demonstrated that EFEMP1 polymorphisms, especially rs1346787 and rs1346786, might predict glioma risk in Chinese population. However, high-quality case–control studies with larger sample sizes are warranted to confirm the above-mentioned findings. Dove Medical Press 2017-11-06 /pmc/articles/PMC5683781/ /pubmed/29158681 http://dx.doi.org/10.2147/OTT.S143610 Text en © 2017 Hu et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. |
spellingShingle | Original Research Hu, Jun Dong, Dong Lu, Dandan The associations between common SNPs of EFEMP1 gene and glioma risk in Chinese population |
title | The associations between common SNPs of EFEMP1 gene and glioma risk in Chinese population |
title_full | The associations between common SNPs of EFEMP1 gene and glioma risk in Chinese population |
title_fullStr | The associations between common SNPs of EFEMP1 gene and glioma risk in Chinese population |
title_full_unstemmed | The associations between common SNPs of EFEMP1 gene and glioma risk in Chinese population |
title_short | The associations between common SNPs of EFEMP1 gene and glioma risk in Chinese population |
title_sort | associations between common snps of efemp1 gene and glioma risk in chinese population |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5683781/ https://www.ncbi.nlm.nih.gov/pubmed/29158681 http://dx.doi.org/10.2147/OTT.S143610 |
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