The effects of ethanol on reaction time and motor time did not show correlation with any of the polymorphisms analyzed (see Supporting CT99021 purchase materials), thus supporting the hypothesis that the interindividual differences

in ethanol effects observed in this study are not related to pharmacokinetic parameters. In Table 5, each of the SNPs has been treated in isolation, but it should be kept in mind that each individual has a diplotype that would be a cassette of combinations of all of the SNPs studied. If we consider the four SNPs that have shown association with ethanol metabolism in the current study, 16 different diplotypes were observed in the study group. Figure 3 shows the ethanol metabolism rate in individuals according the commonest diplotypes. All common variant diplotypes are associated with decreased alcohol metabolic rate. Among common diplotypes, the lowest metabolic rates were observed in individuals that carried simultaneously mutations at three different positions (78, 272, and 350) in the ADH1C gene (diplotype 3 in Fig. C59 wnt mw 3). Among rare diplotypes, three individuals carried simultaneously the three mutations mentioned in the ADB1C gene plus a mutation at position 60 in the ADH1B gene. These subjects showed an extremely low alcohol metabolic rate with a mean ± standard deviation equal to 98.34 ± 5.43 mg/L/hour (P < 0.001 as compared with noncarriers of mutations). Compared with the wide knowledge

of interindividual variability in drug metabolism and response, the understanding of the extent and the basis of variability in alcohol metabolism and effects is surprisingly low for the worldwide consumption of alcohol and its health and legal implications. Although it is widely admitted that response to alcohol varies among individuals, even when they receive identical weight-adjusted doses,2, 24 little is known about whether differences in response are attributable to variability in bioavailability, for instance, whether they are caused by variability in

absorption or in the first-pass metabolism,25 or whether it is because of variability in the metabolic rates, or even whether variability in the response depends on nonpharmacokinetic parameters.26–34 The understanding of the genetic basis for variability in alcohol metabolism remains elusive, particularly in white subjects. This 上海皓元医药股份有限公司 study addresses this topic, and it has the strength of typing multiple polymorphisms in a large sample size (250 subjects). A major weakness of studies on gene variations with regard to alcohol metabolism is the low minor allele frequencies of many of the SNPs tested. However, with the sample size used in this study, this common weakness is diminished. Regarding pharmacokinetic parameters, we observed that women had higher Cmax and AUC values than did men. This is not a novel finding, and it is in agreement with findings indicating that the efficiency of first-pass metabolism in women is lower than in men.