| Literature DB >> 28540979 |
Min Jeong Shin1, Yoonsu Cho2,3, George Davey Smith3.
Abstract
Alcohol consumption is a serious health issue in Korea in terms of the amount consumed and the behavior related to its consumption. Aldehyde dehydrogenase 2 (ALDH2) is a key enzyme in alcohol metabolism that degrades acetaldehyde to nontoxic acetic acid. The enzyme is coded by the ALDH2 gene, which is commonly polymorphic in East Asian populations. A point mutation in the ALDH2 gene (the rs671 allele) yields an inactive form of ALDH2 that causes acetaldehyde accumulation in the body after alcohol consumption, thereby inhibiting normal alcohol metabolism. Individuals who are homozygous for polymorphism in ALDH2 tend to refrain from drinking alcohol, decreasing their chances of developing alcoholism and exposure to the associated risks. Mendelian randomization (MR) studies have demonstrated that alcohol consumption predicted by ALDH2 genotype is causally related to cardiovascular risks. Moreover, recent MR studies suggest that the ALDH2 variant has mechanistic effects on some disease outcomes or mortality through increased blood levels of acetaldehyde, showing differences therein between heterozygotes (ALDH2*2*2) and homozygotes (ALDH2*1*2) in those who consume alcohol. Accordingly, consideration of ALDH2 genotype in alcohol prevention programs is warranted. In conclusion, strategies that incorporate genetic information and provide an evidential basis from which to help people make informed decisions on alcohol consumption are urgently required. © Copyright: Yonsei University College of Medicine 2017.Entities:
Keywords: Alcohol; Mendelian randomization analysis; aldehyde dehydrogenase 2; guidelines
Mesh:
Substances:
Year: 2017 PMID: 28540979 PMCID: PMC5447097 DOI: 10.3349/ymj.2017.58.4.689
Source DB: PubMed Journal: Yonsei Med J ISSN: 0513-5796 Impact factor: 2.759
Fig. 1Alcohol metabolism according to genetic polymorphisms. (A) Aldehyde dehydrogenase 2 (ALDH2) and alcohol dehydrogenase 1B (ADH1B) are involved in alcohol metabolism. Generally, ALDH2 variants have a greater influence on alcohol intake than ADH1B variants in East Asians. (B) ALDH2 variants mainly exist in East Asian populations. Adapted from Cho, et al. Sci Rep 2015;5:18422.6
Fig. 2Scheme of the Mendelian randomization approach. The scheme of the Mendelian randomization approach. (A) This method uses a genetic variant, which proxies for exposure that is expected to be related to the outcome. (B) Using the Mendelian randomization approach, the causal effects of alcohol intake on cardiovascular outcomes can be investigated while controlling confounders and reverse causation. ALDH2, aldehyde dehydrogenase 2.
Mendelian Randomization Studies on Alcohol Consumption Predicted by Genotype and CVD Risk Factors
| Author | Population | Instrument | Outcome | Statistics | Major results |
|---|---|---|---|---|---|
| Jee, et al. | Korean (n=2993 men and 1374 women) | rs671 in | Serum glucose levels | Instrumental variable regression analysis | An increase of 1 unit of alcohol with the G allele of rs671 increased serum glucose levels in men. |
| Cho, et al. | Korean (n=3365 men and 3787 women) | rs671 in | Risk factors for CVD | Instrumental variable regression analysis | An increase of 1 unit of alcohol with the G allele of rs671 increased CVD risk factors, including blood pressure, waist-to-hip ratio, fasting blood glucose, and TG levels. |
| Xu, et al. | Chinese (n=2321 men and 2757 women) | rs671 in | Gamma-glutamyltransferase | Instrumental variable regression analysis | An increase of 1 unit of alcohol with the G allele of rs671 increased gamma-glutamyltransferase by 10.60 U/L per 10 g ethanol/day. |
| Au Yeung, et al. | Chinese (n=4588 men) | rs671 in | Heart rate | Instrumental variable regression analysis | An increase of 1 unit of alcohol with active |
| Au Yeung, et al. | Chinese (n=4867 men) | rs671 in | Self-reported CVD and biologic CVD risk factors | Instrumental variable regression analysis | An increase of 1 unit of alcohol with the G allele of rs671 was associated with an increase in HDL cholesterol per alcohol unit, and DBP, LDL cholesterol, TG, or glucose, and the prevalence of self-reported CVD. |
| Au Yeung, et al. | Chinese (n=4707 men for alcohol consumption was not associated with delayed 10-word recall score; 2284 men for MMSE score) | rs671 in | Cognitive function | Instrumental variable regression analysis | An increase of 1 unit of alcohol with the G allele of rs671 was not associated with delayed 10-word recall score or MMSE score. |
| Tabara, et al. | Japanese (n=2756 men and 5608 women) | LDL/HDL | Linear regression analysis with an additive genetic model | The | |
| Tabara, et al. | Japanese (n=2289 men and 1940 women) | LDL/HDL | Linear regression analysis with an additive genetic model | The | |
| Taylor, et al. | Chinese (n=1712 diabetes cases and 2076 controls) | rs671 in | Cardiovascular and metabolic factors | Linear regression analysis with an additive genetic model | The A allele of rs671 was strongly associated with reduced alcohol use in men and women. |
ALDH2, aldehyde dehydrogenase 2; CVD, cardiovascular disease; DBP, diastolic blood pressure; LDL, low-density lipid; HDL, high-density lipid; TG, triglyceride; MMSE, Mini-Mental State Examination.
The table only includes Mendelian randomization studies based on instrumental variable (IV) regression using rs671 in ALDH2 as an instrument. Papers included in Table 1 were collected from MEDLINE (http://www.ncbi.nlm.nih.gov/PubMed) using the following keywords: “Aldehyde dehydrogenase 2” and “ALDH2” in combination with “Mendelian randomization” and “alcohol.” The abstracts of the collected articles were scanned for inclusion of any cardiovascular-related outcomes of interest. We searched for all papers published before January 2017. The minimum requirement for inclusion was Mendelian randomization analysis using ALDH2 as an instrument. We excluded meta-analyses, because they did not perform IV regression analysis directly. Among the 20 papers identified by the search strategy, irrelevant articles (n=7) and meta-analyses (n=4) were excluded. When sufficient information could not be obtained, the study was excluded.