A Novel Polymorphism rs1329149 of <i>CYP2E1</i> and a Known Polymorphism rs671 of <i>ALDH2</i> of Alcohol Metabolizing Enzymes Are Associated with Colorectal Cancer in a Southwestern Chinese Population

Yang, Huan; Zhou, Yanhong; Zhou, Ziyuan; Liu, Jinyi; Yuan, Xiaoyan; Matsuo, Keitaro; Takezaki, Toshiro; Tajima, Kazuo; Cao, Jia

doi:10.1158/1055-9965.epi-09-0398

Cited by 49 publications

(60 citation statements)

References 31 publications

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“…Gene rs671, rs1329149, age, and alcohol consumption correlate with the morbidity of colorectal cancer. Based on OR, all of these four factors are risk factors for the pathogenesis of colorectal cancer, which is consistent with results in the literature (Yang et al, 2009). Next, the interactions between these factors were analyzed by combining crossover analysis and logistic regression methods.…”

Section: Results Of Logistic Regression Analysissupporting

confidence: 83%

“…From biological view in the literature (Yang et al, 2009), the risk factors of colorectal cancer were analyzed by using chi-square test, the characteristics of related gene locus and environmental factors associated with the development of colorectal cancer were found. However, the interactions between these factors are not fully analyzed.…”

Section: Statistics Methodsmentioning

confidence: 99%

“…The data used in this study are from the case-control study of colorectal cancer in Chongqing, China, by the Department of Health Toxicology at the Third Military Medical University (Yang et al, 2009). Among the 432 colorectal cancer patients who were pathologically diagnosed, 237 were males and 195 were females, with an average age of 52 years (44,60).…”

Section: Data Sourcementioning

confidence: 99%

“…However, the traditional regression model may bring out the greater errors and increase the typeⅠor typeⅡerror during the analysis of interactions, so that the test power decrease. Based on our previous data (Yang et al, 2009), the risk factors of colorectal cancer were analyzed by using chisquare test; the characteristics of related genes locus and environmental factors associated with the development of colorectal cancer were found. This study further analyzed and explored the interactions between genes and environment using crossover analysis combined with logistic regression method.…”

Section: Introductionmentioning

confidence: 99%

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Application of Crossover Analysis-logistic Regression in the Assessment of Gene- environmental Interactions for Colorectal Cancer

Yang²,

Zhang³

et al. 2012

Asian Pacific Journal of Cancer Prevention

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Background: Analysis of gene-gene and gene-environment interactions for complex multifactorial human disease faces challenges regarding statistical methodology. One major difficulty is partly due to the limitations of parametric-statistical methods for detection of gene effects that are dependent solely or partially on interactions with other genes or environmental exposures. Based on our previous case-control study in Chongqing of China, we have found increased risk of colorectal cancer exists in individuals carrying a novel homozygous TT at locus rs1329149 and known homozygous AA at locus rs671. Methods: In this study, we proposed statistical methodcrossover analysis in combination with logistic regression model, to further analyze our data and focus on assessing gene-environmental interactions for colorectal cancer. Results: The results of the crossover analysis showed that there are possible multiplicative interactions between loci rs671 and rs1329149 with alcohol consumption. Multifactorial logistic regression analysis also validated that loci rs671 and rs1329149 both exhibited a multiplicative interaction with alcohol consumption. Moreover, we also found additive interactions between any pair of two factors (among the four risk factors: gene loci rs671, rs1329149, age and alcohol consumption) through the crossover analysis, which was not evident on logistic regression. Conclusions: In conclusion, the method based on crossover analysis-logistic regression is successful in assessing additive and multiplicative gene-environment interactions, and in revealing synergistic effects of gene loci rs671 and rs1329149 with alcohol consumption in the pathogenesis and development of colorectal cancer.

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Section: Results Of Logistic Regression Analysissupporting

confidence: 83%

Section: Statistics Methodsmentioning

confidence: 99%

Section: Data Sourcementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Application of Crossover Analysis-logistic Regression in the Assessment of Gene- environmental Interactions for Colorectal Cancer

Yang²,

Zhang³

et al. 2012

Asian Pacific Journal of Cancer Prevention

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“…O 6 -methylguanine-DNA methyltransferase (MGMT) is involved in the direct damage-reversal pathway, which repairs damaged DNA and thus decreases cancer risk (Loh et al, 2011). Aldehyde dehydrogenase-2 (ADH1B) is a major enzyme involved in the alcohol-metabolizing pathways, and ADH1B can metabolize acetaldehyde into acetic acid for detoxification (Yang et al, 2009). Although a meta-analysis reported that ADH1B genetic polymorphisms can increase the risk of cancers of the upper aerodigestive tract, including the oral cavity, pharynx, larynx, and esophagus (Guo et al, 2012), there was a lack of summary for ADH1B variants in the susceptibility of CRC.…”

Section: Introductionmentioning

confidence: 99%

Association Between Six Genetic Polymorphisms and Colorectal Cancer: A Meta-Analysis

Chen

Wang

Liao

et al. 2014

Genetic Testing and Molecular Biomarkers

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Objective: The aim of this study was to determine whether six genetic polymorphisms confer susceptibility to colorectal cancer (CRC). Methods: A systematic search for candidate genes of CRC was performed among several online databases, including PubMed, Embase, Web of Science, the Cochrane Library, CNKI, and Wanfang online libraries. After a comprehensive filtering procedure, we harvested five genes, including MGMT (rs12917 and rs2308321), ADH1B (rs1229984), SOD2 (rs4880), XPC (rs2228001), and PPARG (rs1801282). Using the REVMAN and Stata software, six meta-analyses were conducted for associations between CRC and the just-mentioned genetic variants. Results: A total of 34 comparative studies among 17,289 cases and 54,927 controls were involved in our meta-analyses. Significant association was found between ADH1B rs1229984 polymorphism and CRC ( p = 0.03, odds ratio [OR] = 1.18, 95% confidence interval [CI] = 1.01-1.36). We also found significant association between PPARG rs1801282 polymorphism and CRC ( p = 0.004, OR = 1.498, 95% CI = 1.139-1.970), and this significant association is specific in Caucasians ( p = 0.004, OR = 1.603, 95% CI = 1.165-2.205). Conclusions: The current meta-analysis has established that ADH1B (rs1229984) and PPARG (rs1801282) are two risk variants of CRC.

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Relationship between esophageal squamous cell carcinoma risk and alcohol‐related ALDH2 and ADH1B polymorphisms: Evidence from a meta‐analysis and Mendelian randomization analysis

Zhang,

Peng,

Luo

et al. 2023

Cancer Medicine

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BackgroundPrevious studies have shown that ALDH2 and ADH1B genes may be associated with alcohol metabolism and the risk of esophageal squamous cell carcinoma (ESCC), with inconsistent results. This meta‐analysis aimed at comprehensively assessing the associations between ALDH2 and ADH1B polymorphisms and the risk of ESCC to synthesize and clarify the evidence.MethodsWe calculated summary estimates of the associations between four genetic variants (rs671 and rs674 in ALDH2, and rs1229984 and rs1042026 in ADH1B) and the ESCC risk across 23 publications in the additive model and allelic model. Venice criteria, Bayesian false discovery probability (BFDP), and false‐positive reporting probability (FPRP) were used to assess the strength of epidemiological evidence. Heterogeneity among studies was evaluated by using the Higgin's I2 statistic, and publication bias was assessed by using funnel plots and Begg's test. A Mendelian randomization (MR) analysis was performed to determine the causal association between alcohol intake and esophageal cancer risk. Data from the HaploReg v4.1 and PolyPhen‐2 were analyzed for functional annotations.ResultsOf the four genetic variants, rs671 of ALDH2 was associated with a significantly reduced risk of ESCC (OR: 0.60, 95% CI: 0.50–0.73), whereas rs1229984 of ADH1B was associated with a significantly increased risk (2.50, 95% CI: 1.70–3.69) in the additive model. In the allelic model, the variant rs1229984 of ADH1B also increased the risk of ESCC (OR: 1.50; 95% CI: 1.21–1.87). The result for the variant rs671 was considered as strong epidemiological evidence. Functional annotations identified that the four variants were related to the enhancer histone marks and motif changes. The other two variants were not associated with the ESCC risk (rs674 of ALDH2 OR: 1.22, 95% CI: 0.71–2.12; rs1042026 of ADH1B OR: 1.28, 95% CI: 0.52–3.14) in the additive model. The MR analysis did not find a causal effect of alcohol on the esophageal cancer risk.ConclusionsThe results showed that ADH1B rs1229984 was significantly associated with an increased the risk of ESCC.

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A Novel Polymorphism rs1329149 of CYP2E1 and a Known Polymorphism rs671 of ALDH2 of Alcohol Metabolizing Enzymes Are Associated with Colorectal Cancer in a Southwestern Chinese Population

Cited by 49 publications

References 31 publications

Application of Crossover Analysis-logistic Regression in the Assessment of Gene- environmental Interactions for Colorectal Cancer

Application of Crossover Analysis-logistic Regression in the Assessment of Gene- environmental Interactions for Colorectal Cancer

Association Between Six Genetic Polymorphisms and Colorectal Cancer: A Meta-Analysis

Relationship between esophageal squamous cell carcinoma risk and alcohol‐related ALDH2 and ADH1B polymorphisms: Evidence from a meta‐analysis and Mendelian randomization analysis

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