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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...

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Autores principales: Hu, Jun, Dong, Dong, Lu, Dandan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2017
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.
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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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