Twin and adoption Studies have convincingly established that a substantial proportion of variance in the risk for alcohol use and dependence is attributable to additive genetic influences (for reviews see Heath, 1995; McGue, 1999). However, the identification of genes explaining unique variance in alcohol-related behavior has proven difficult, largely because alcohol use and dependence reflect complex, multigenic behaviors that are heterogeneous across individuals and subject to environmental as well as genetic influence (Dick and Foroud, 2003; Li, 2000; Schuckit, 2000). Instances in which individual genes predict significant variability in the risk for alcohol dependence can provide unique opportunities to evaluate how specific genetic factors act additively or interactively with other genetic or environmental factors to influence alcohol-related behavior (Heath et al., 2001; Li et al., 2001). The 2 genes with the strongest associations with alcohol use and dependence are ALDH2 (12q24) and ADH1B (4q22). These genes encode the major enzymes involved in alcohol metabolism and have functional variations that are protective against alcohol dependence (Edenberg, 2007; Wall, 2005). The major pathway of alcohol elimination involves conversion of ethanol to acetaldehyde by alcohol dehydrogenase (ADH) enzymes, followed by oxidation of acetaldehyde to acetate via mitochondrial aldehyde dehydrogenase (ALDH) (Edenberg, 2007; Thomasson and Li, 1993). The ADH1B*2 allele encodes an ADH enzyme subunit whose catalytic properties lead to more rapid conversion of ethanol to acetaldehyde, whereas the ALDH2*2 allele encodes an ALDH enzyme subunit that is functionally inactive, impairing the conversion of acetaldehyde to acetate (for reviews see Li, 2000; Thomasson and Li, 1993; Wall, 2005). Theoretically, these variants protect against the risk for alcohol dependence by promoting increased transient acetaldehyde during alcohol metabolism and, in turn, decreased consumption (Edenberg, 2007; Wall, 2005). The ALDH2*2 allele, found exclusively among individuals of northeast Asian heritage (Chinese, Koreans, and Japanese; Goedde et al., 1992), shows the strongest association with drinking behavior. Individuals with ALDH2*2 show significantly lower rates of alcohol use, heavy drinking and alcohol dependence compared to those without this variant (Chen et al., 1996; Higuchi et al., 1996; Luczak et al., 2001, 2004; Takeshita and Morimoto, 1999; Thomasson and Li, 1993; Thomasson et al., 1991; Wall et al., 2001). A meta-analysis comprising 15 case–control studies and over 4,500 participants showed that ALDH2*2 heterozygotes have approximately one-fourth the risk for alcohol dependence compared to ALDH2*1 homozygotes (Luczak et al., 2006), and case–control and population studies have found only 3 individuals homozygous for ALDH2*2 who were classified as alcohol-dependent (Chen et al., 1999; Luczak et al., 2004). ALDH2*2 is associated with heightened blood acetaldehyde and cardiovascular responses following alcohol ingestion (Peng et al., 1999, 2007; Wall et al., 1997), as well as greater self-reported sensitivity to alcohol (Duranceaux et al., 2008), lending support for a protective mechanism involving increased acetaldehyde levels and alcohol sensitivity among those with ALDH2*2. The ADH1B*2 allele is highly prevalent among northeast Asians and moderately prevalent in Caucasians, in particular those of Jewish and Russian ancestry (Goedde et al., 1992; Hasin et al., 2002). ADH1B*2 is associated with a decreased risk of alcohol dependence in both Asian and Caucasian populations (e.g., Chen et al., 1999; Higuchi, 1994; Luczak et al., 2006; Thomasson et al., 1991; Whitfield et al., 1998). In Asian samples, significant protective effects of ADH1B*2 have been observed after controlling for ALDH2 status in some (Chen et al., 1999; Thomasson et al., 1991) but not all studies (e.g., Luczak et al., 2004, 2006; Peng et al., 2002). The aforementioned meta-analysis showed that the protective effects of ADH1B*2 were somewhat greater for individuals who also had the ALDH2*2 allele (Luczak et al., 2006), suggesting possible interactive effects between these genes. ADH1B*2 has not been associated with measured acetaldehyde levels in vivo (e.g., Peng et al., 2007), but is associated with increased sensitivity to alcohol as measured by skin flushing, self-reported physiologic symptoms and post-intoxication body sway (Chen et al., 1998; Cook et al., 2005; Duranceaux et al., 2006; Takeshita et al., 1996; Wall et al., 2005). In some research, effects of ADH1B*2 on alcohol sensitivity are limited to individuals with ALDH2*2 (Cook et al., 2005; Takeshita et al., 2001), again suggesting the possibility of interactive effects. Much of the research on ALDH2 and ADH1B has utilized case–control studies that rely predominantly on adult, male participants and focus on dichotomous diagnostic outcomes. Research with younger populations may be important given evidence of possible age differences in the effects of ALDH2 and ADH1B on drinking behavior (Carr et al., 2002; Doran et al., 2007; Hendershot et al., 2005), consistent with increasing genetic influences on alcohol use during the transition from adolescence to adulthood (e.g., Koopmans and Boomsma, 1996; Pagan et al., 2006). It has also been suggested that the examination of multiple, continuous phenotypes is preferable to a focus on dichotomous diagnostic variables (e.g., Dick et al., 2008; Hutchison et al., 2004). For example, in samples with relatively lower rates of alcohol dependence, restricted variability in diagnostic outcomes may obscure genetic effects, whereas examination of subclinical phenotypes may reveal these effects (e.g., Irons et al., 2007). This study evaluated additive and interactive effects of ALDH2 and ADH1B genotypes on alcohol-related outcomes in a mixed-gender sample of Chinese and Korean young adults. Whereas most studies of Asian-American young adults have included participants at or above legal drinking age, this study included participants 18 years and older, most of whom were under age 21. This study also emphasized evaluation of continuous phenotypes, including heavy episodic drinking, alcohol sensitivity, hazardous drinking, and alcohol-related consequences. Genetic effects were estimated using generalized linear models while controlling for ethnicity, thus allowing estimation of unique contributions of cultural and genetic influences on drinking behavior.