Alcohol dehydrogenase and aldehyde dehydrogenase genotypes and alcoholism among Taiwanese aborigines (original) (raw)

Alcohol dehydrogenase and aldehyde dehydrogenase gene polymorphisms, alcohol intake and the risk of colorectal cancer in the European Prospective Investigation into Cancer and Nutrition study

European Journal of Clinical Nutrition, 2012

BACKGROUND/OBJECTIVES: Heavy alcohol drinking is a risk factor of colorectal cancer (CRC), but little is known on the effect of polymorphisms in the alcohol-metabolizing enzymes, alcohol dehydrogenase (ADH) and aldehyde dehydrogenase (ALDH) on the alcohol-related risk of CRC in Caucasian populations. SUBJECTS/METHODS: A nested case-control study (1269 cases matched to 2107controls by sex, age, study centre and date of blood collection) was conducted within the European Prospective Investigation into Cancer and Nutrition (EPIC) to evaluate the impact of rs1229984 (ADH1B), rs1573496 (ADH7) and rs441 (ALDH2) polymorphisms on CRC risk. Using the wild-type variant of each polymorphism as reference category, CRC risk estimates were calculated using conditional logistic regression, with adjustment for matching factors. RESULTS: Individuals carrying one copy of the rs1229984(A) (ADH1B) allele (fast metabolizers) showed an average daily alcohol intake of 4.3 g per day lower than subjects with two copies of the rs1229984(G) allele (slow metabolizers) (P diff o0.01). None of the polymorphisms was associated with risk of CRC or cancers of the colon or rectum. Heavy alcohol intake was more strongly associated with CRC risk among carriers of the rs1573496(C) allele, with odds ratio equal to 2.13 (95% confidence interval: 1.26-3.59) compared with wild-type subjects with low alcohol consumption (P interaction ¼ 0.07). CONCLUSIONS: The rs1229984(A) (ADH1B) allele was associated with a reduction in alcohol consumption. The rs1229984 (ADH1B), rs1573496 (ADH7) and rs441 (ALDH2) polymorphisms were not associated with CRC risk overall in Western-European populations. However, the relationship between alcohol and CRC risk might be modulated by the rs1573496 (ADH7) polymorphism.

A Novel Polymorphism rs1329149 of CYP2E1and a Known Polymorphism rs671 of ALDH2 of Alcohol Metabolizing Enzymes Are Associated with Colorectal Cancer in a Southwestern Chinese Population

Cancer Epidemiology Biomarkers Prevention, 2009

Background: To screen for tagging single nucleotide polymorphisms (tagSNP) in the major alcohol metabolizing enzymes: ADH1B, ALDH2, and CYP2E1, and to evaluate the association between these tagSNPs and colorectal cancer (CRC) in a southwestern Chinese population. Methods: A hospital-based case-control study of 440 CRC patients and 800 cancer-free controls was conducted. Personal information was collected by a Semi-Quantitative Food Frequency Questionnaire. The tagSNPs were screened in the HapMap with Haploview by setting the minor allele frequency at 0.03 with the highest score of r 2 form each block. Genotypes were identified by using the SNPLex System. Both crude and adjusted odds ratio (OR) and 95% confidence interval (CI) were used to evaluate the risk of each SNP. Results: Sixteen tagSNPs were selected, and 13 were successfully genotyped. A novel CYP2E1 locus rs1329149 and a known ALDH2 locus rs671 were found to be significantly associated with CRC risk. The adjusted OR was 1.86 (95% CI, 1.12-3.09) for the rs671 A/A genotype and 4.04 for the rs1329149 T/T genotype (95% CI, 2.44-6.70), compared with their common homozygous genotypes. Interaction was found between alcohol consumption and gene polymorphisms on CRC, the adjusted OR was 7.17 (95% CI, 2.01-25.53) for drinking habits combined with rs671 A/A or rs1329149 T/T genotype. Conclusion: The results of this study suggest that rs671 A/A and the first reported locus rs1329149 T/T genotypes increase the susceptibility to CRC, and gene-environmental interaction between the two loci and alcohol use existed for CRC in Southwestern Chinese. Larger studies are warranted to verify our findings. (Cancer Epidemiol Biomarkers Prev

Polymorphisms in Alcohol Metabolism Genes ADH1B and ALDH2, Alcohol Consumption and Colorectal Cancer

PLoS ONE, 2013

Background: Colorectal cancer (CRC) is a leading cause of cancer death worldwide. Epidemiological risk factors for CRC included alcohol intake, which is mainly metabolized to acetaldehyde by alcohol dehydrogenase and further oxidized to acetate by aldehyde dehydrogenase; consequently, the role of genes in the alcohol metabolism pathways is of particular interest. The aim of this study is to analyze the association between SNPs in ADH1B and ALDH2 genes and CRC risk, and also the main effect of alcohol consumption on CRC risk in the study population.

Genetic analysis of a population heavy drinking phenotype identifies risk variants in whites

Journal of clinical psychopharmacology, 2013

Genetic association studies thus far have used detailed diagnoses of alcoholism to identify loci associated with risk. This proof-of-concept analysis examined whether population data of lifetime heaviest alcohol consumption may be used to identify genetic loci that modulate risk. We conducted a genetic association study in European Americans between variants in approximately 2100 genes and alcohol consumption as part of the Candidate gene Association Resource project. We defined cases as individuals with a history of drinking 5 or more drinks per day almost every day of the week and controls as current light drinkers (1Y5 drinks per week). We cross-validated identified single nucleotide polymorphisms in a metaanalysis of 2 cohorts of unrelated individualsVAtherosclerosis Risk in Communities (ARIC) and Cardiovascular Health Study (CHS)Vand in a separate cohort of related individuals VFramingham Heart Study (FHS). The most significant variant in the meta-analysis of ARIC and CHS was rs6933598 in methylenetetrahydrofolate dehydrogenase (P = 7.46 Â 10 j05 ) with a P value in FHS of 0.042. The top variants in FHS were rs12249562 in cubulin (P = 3.03 Â 10 j05 ) and rs9839267 near cholecystokinin (P = 3.05 Â 10 j05 ) with a P value of 0.019 for rs9839267 in CHS. We have here shown feasibility in evaluating lifetime incidence of heavy alcohol drinking from population-based studies for the purpose of conducting genetic association analyses.

Genetic polymorphisms in alcohol metabolism, alcohol intake and the risk of stomach cancer in Warsaw, Poland

International Journal of Cancer, 2007

Genetic variations increasing blood levels of acetaldehyde, the first metabolite of alcohol, refrain their carriers from drinking alcohol but may also put them at increased risk of cancer because of the mutagenic and carcinogenic effect of acetaldehyde. In a population-based study of 305 cases and 428 controls in Warsaw, Poland, we evaluated the effect of polymorphisms in alcohol metabolizing genes, including ADH1B (Ex915C>T, Ex3123A>G, Ex3158A>T and Ex9177A>G), ADH1C (Ex8-56A>G and Ex6-14G>A) and ALDH2 (Ex1182A>G), on levels of alcohol drinking and susceptibility of stomach cancer. We found that among control subjects frequency of alcohol drinking varied by alcohol metabolizing genotype. In particular, the weekly consumption of individuals carrying the AA, GA and GG genotypes of ALDH2 Ex1182A >G polymorphism were 3.75, 2.26 and 1.53 drinks, respectively (p 5 0.04). However, none of the assessed polymorphisms in these 3 genes had a measurable effect on stomach cancer risk. When stratified by ALDH2 Ex1182A>G polymorphism, alcohol-related increases in stomach cancer risk were restricted to individuals with the AG/GG genotypes, with a more than 2-fold risk among daily drinkers (OR 5 2.63, 95% CI 5 1.00-6.88) and 3-fold risk (OR 5 3.66, 95% CI 5 1.19-11.24) among those with 40 or more drink-years. In summary, our results suggested that the ALDH2 Ex1182 G allele may be functionally deficient in eliminating acetaldehyde and discourage alcohol drinking. Furthermore, heavy drinkers of alcohol who were genetically prone to accumulate acetaldehyde may face an increased risk of stomach cancer. ' 2007 Wiley-Liss, Inc.

Polymorphisms in Alcohol Metabolizing Genes and the Risk of Head and Neck Cancer in a Brazilian Population

Alcohol and Alcoholism, 2010

Aims: The incidence of head and neck cancer (HNC) in Brazil has increased substantially in recent years. This increase is likely to be strongly associated with alcohol and tobacco consumption, but genetic susceptibility also should be investigated in this population. The aim of this study was to evaluate the association of polymorphisms in genes of alcohol metabolism enzymes and the risk of HNC. Methods: A hospital-based case-control study was conducted in São Paulo, Brazil. We here investigated ADH1C Ile 350 Val, ADH1B Arg 48 His, ADH1B Arg 370 Cys and CYP2E1*5A PstI polymorphisms by PCR-RFLP Polymerase Chain Reaction -Restriction Fragment Length Polymorphism in 207 histopathologically confirmed HNC cases (184 males and 23 females) and 244 cancer-free controls (225 males and 19 females) admitted as in-patients in the same hospital. Results: Chronic alcohol intake increased approximately four times the risk of HNC. The mutant genotype ADH1B Arg 48 His was more frequent in controls (12.7%) than HNC patients (5.8%) conferring protection for the disease (odds ratio (OR) = 0.42; 95% confidence interval (CI ), 0.21-0.85). Similar results were observed for individuals with ADH1B*2 (OR = 0.41; 95% CI , 0.20-0.82) or ADH1B*2/ADH1C*1 (OR = 0.32; 95% CI , 0.13-0.79) mutated haplotypes. Multiple regression analyses showed that individuals with the mutant genotype ADH1B Arg 48 His who consume alcohol >30 g/L/ day have more than four times the risk for HNC (OR = 4.42; 95% CI, 1.21-16.11). Conclusions: The fast alcohol metabolizing genotypes may prevent HNC when the amount of alcohol intake is <30.655 g/L/day.

Polymorphisms of alcohol-metabolizing enzymes and the risk for alcoholism and alcoholic liver disease in Caucasian Spanish women

Drug and Alcohol Dependence, 2006

Background: The relationship of polymorphisms of the genes that encode for alcohol-metabolizing enzymes and individual vulnerability to alcoholism and alcoholic liver disease (ALD) in women is unclear. We determined the genotypes of ADH1B, ADH1C, and ALDH2 in a group of Caucasian Spanish women. Methods: We performed a cross-sectional case-control study. The study group was made of 220 women. Of these, 85 were alcoholic (27 without liver disease and 58 with alcoholic liver disease) and 135 were non-alcoholic (42 healthy controls and 93 with liver disease unrelated to alcohol). Genotyping of alcohol-metabolizing enzymes was performed using PCR-RFLP methods. Results: The distribution of the allelic variants (alleles 1 and 2) in the whole subjects analyzed was: ADH1B 91.6% and 8.4%; ADH1C 58.4% and 41.6%; CYP2E1 Dra-I 15% and 85%; CYP2E1 Pst-I 96.8% and 3.2%; and ALDH2 100% and 0%, respectively. Carriage of genotypes containing the ADH1B*2 mutant allele significantly protected against alcoholism [odds-ratio (OR) = 0.00; 95% confidence interval (95% CI): 0.00-0.94; p = 0.02] but was associated with an increased risk for alcoholic liver disease among alcohol-dependent women [OR = 0.43; 95% CI: 0.18-0.41; p = 0.004]. Analysis of the remaining loci showed no significant associations. Conclusions: In Caucasian Spanish women the ADH1B*2 allele modulates the risk for alcohol dependence and for alcoholic liver disease. Given the small number of alcoholic women analyzed here, these data need further validation in larger cohorts.

Haplotype-Based Study of the Association of Alcohol-Metabolizing Genes With Alcohol Dependence in Four Independent Populations

Alcoholism: Clinical and Experimental Research, 2011

Background-Ethanol is metabolized by two rate limiting reactions: alcohol dehydrogenases (ADH) convert ethanol to acetaldehyde, subsequently metabolized to acetate by aldehyde dehydrogenases (ALDH). Approximately 50% of East Asians have genetic variants that significantly impair this pathway and influence alcohol dependence (AD) vulnerability. We investigated whether variation in alcohol metabolism genes might alter the AD risk in four non-East Asian populations by performing systematic haplotype association analyses in order to maximize the chances of capturing functional variation.