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Vitamin D receptor gene polymorphisms and its interactions with environmental factors on renal cell carcinoma risk
AIMS: We designed a case-control study to investigate the effect of vitamin D receptor gene (VDR) gene single nucleotide polymorphisms (SNPs) and possible gene- environment interaction on the susceptibility of renal cell carcinoma (RCC). METHODS: Generalized multifactor dimensionality reduction (GMD...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8130296/ https://www.ncbi.nlm.nih.gov/pubmed/34006324 http://dx.doi.org/10.1186/s41021-021-00185-3 |
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author | Jianhai, Tian Jian, Lv Long, Zhang Wei, Wang Shumao, Zhang Yiming, Wang Xiaojuan, Li |
author_facet | Jianhai, Tian Jian, Lv Long, Zhang Wei, Wang Shumao, Zhang Yiming, Wang Xiaojuan, Li |
author_sort | Jianhai, Tian |
collection | PubMed |
description | AIMS: We designed a case-control study to investigate the effect of vitamin D receptor gene (VDR) gene single nucleotide polymorphisms (SNPs) and possible gene- environment interaction on the susceptibility of renal cell carcinoma (RCC). METHODS: Generalized multifactor dimensionality reduction (GMDR) was used to find out the interaction combinations between SNPs and environmental factors, including gene- gene synergy and gene environment synergy effect. Logistic regression was used to analyze the correlation between the four SNPs in VDR gene and RCC, and the significant interaction combinations found by GMDR model were analyzed by hierarchical analysis. RESULTS: The genotype distribution of the control group was in accordance with Hardy- Weinberg equilibrium. Logistic regression analysis showed that the risk of RCC in VDR-rs7975232 A allele carriers was significantly higher than that of CC genotype carriers (CA + AA vs. CC), adjusted OR (95 % CI) = 1.75 (1.26–2.28). We used GMDR model to screen the best synergistic model between the four SNPs of VDR gene and smoking and drinking. We found a significant two locus model (P = 0.0010) involving rs7975232 and smoking. The cross- validation consistency of the two- locus model was 10/ 10, and the accuracy was 60.72 %. Compared with non-smokers with rs7975232 -CA or AA genotype, smokers with rs7975232 -CC genotype had the highest risk of RCC, or (95 % CI) = 2.23 (1.42–3.09), after adjustment for covariates. CONCLUSIONS: We found that the A allele of rs7975232 within VDR gene, interaction between rs7975232 and smoking were all associated with increased RCC risk. |
format | Online Article Text |
id | pubmed-8130296 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-81302962021-05-18 Vitamin D receptor gene polymorphisms and its interactions with environmental factors on renal cell carcinoma risk Jianhai, Tian Jian, Lv Long, Zhang Wei, Wang Shumao, Zhang Yiming, Wang Xiaojuan, Li Genes Environ Research AIMS: We designed a case-control study to investigate the effect of vitamin D receptor gene (VDR) gene single nucleotide polymorphisms (SNPs) and possible gene- environment interaction on the susceptibility of renal cell carcinoma (RCC). METHODS: Generalized multifactor dimensionality reduction (GMDR) was used to find out the interaction combinations between SNPs and environmental factors, including gene- gene synergy and gene environment synergy effect. Logistic regression was used to analyze the correlation between the four SNPs in VDR gene and RCC, and the significant interaction combinations found by GMDR model were analyzed by hierarchical analysis. RESULTS: The genotype distribution of the control group was in accordance with Hardy- Weinberg equilibrium. Logistic regression analysis showed that the risk of RCC in VDR-rs7975232 A allele carriers was significantly higher than that of CC genotype carriers (CA + AA vs. CC), adjusted OR (95 % CI) = 1.75 (1.26–2.28). We used GMDR model to screen the best synergistic model between the four SNPs of VDR gene and smoking and drinking. We found a significant two locus model (P = 0.0010) involving rs7975232 and smoking. The cross- validation consistency of the two- locus model was 10/ 10, and the accuracy was 60.72 %. Compared with non-smokers with rs7975232 -CA or AA genotype, smokers with rs7975232 -CC genotype had the highest risk of RCC, or (95 % CI) = 2.23 (1.42–3.09), after adjustment for covariates. CONCLUSIONS: We found that the A allele of rs7975232 within VDR gene, interaction between rs7975232 and smoking were all associated with increased RCC risk. BioMed Central 2021-05-18 /pmc/articles/PMC8130296/ /pubmed/34006324 http://dx.doi.org/10.1186/s41021-021-00185-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Jianhai, Tian Jian, Lv Long, Zhang Wei, Wang Shumao, Zhang Yiming, Wang Xiaojuan, Li Vitamin D receptor gene polymorphisms and its interactions with environmental factors on renal cell carcinoma risk |
title | Vitamin D receptor gene polymorphisms and its interactions with environmental factors on renal cell carcinoma risk |
title_full | Vitamin D receptor gene polymorphisms and its interactions with environmental factors on renal cell carcinoma risk |
title_fullStr | Vitamin D receptor gene polymorphisms and its interactions with environmental factors on renal cell carcinoma risk |
title_full_unstemmed | Vitamin D receptor gene polymorphisms and its interactions with environmental factors on renal cell carcinoma risk |
title_short | Vitamin D receptor gene polymorphisms and its interactions with environmental factors on renal cell carcinoma risk |
title_sort | vitamin d receptor gene polymorphisms and its interactions with environmental factors on renal cell carcinoma risk |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8130296/ https://www.ncbi.nlm.nih.gov/pubmed/34006324 http://dx.doi.org/10.1186/s41021-021-00185-3 |
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