| Title |
Alcohol and aldehyde dehydrogenase genotypes and drinking behavior of Chinese living in Shanghai
|
|---|---|
| Published in |
Human Genetics, August 1995
|
| DOI | 10.1007/bf00207371 |
| Pubmed ID | |
| Authors |
Taro Muramatsu, Wang Zu-Cheng, Fang Yi-Ru, Hu Kou-Bao, Yan Heqin, Koichi Yamada, Susumu Higuchi, Shoji Harada, Hiroaki Kono |
| Abstract |
Alcohol dehydrogenase (ADH) and aldehyde dehydrogenase (ALDH), the principal enzymes responsible for oxidative metabolism of ethanol, exist in multiple, genetically determined molecular forms. Widely different kinetic properties in some of these isozymes account for the individual differences in alcohol sensitivity. In this study we used the polymerase chain reaction/restriction fragment length polymorphism method to determine the genotypes of the ADH2 and ALDH2 loci of alcoholic and nonalcoholic Chinese living in Shanghai. We also investigated the subjects' drinking patterns by means of semistructured interviews. The alcoholics had significantly lower frequencies of the ADH2(2) and ALDH2(2) alleles than did the nonalcoholics, suggesting the inhibitory effects of these alleles for the development of alcoholism. In the nonalcoholic subjects, ADH2(2) had little, if any, effect, despite the significant effect of the ALDH2(2) allele in decreasing the alcohol consumption of the individual. Taken together, these results fit the proposed hypothesis for the development of alcoholism, i.e., drinking behavior is greatly influenced by the individual's genotypes of alcohol-metabolizing enzymes, and the risk of becoming alcoholic is proportionate with the ethanol consumption of the individual. |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 22% |
| Student > Bachelor | 4 | 17% |
| Student > Master | 3 | 13% |
| Researcher | 3 | 13% |
| Lecturer | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 6 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 30% |
| Medicine and Dentistry | 3 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Nursing and Health Professions | 1 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 8 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 August 2021.
All research outputs
#7,453,479
of 22,786,691 outputs
Outputs from Human Genetics
#933
of 2,953 outputs
Outputs of similar age
#7,099
of 23,741 outputs
Outputs of similar age from Human Genetics
#5
of 17 outputs
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