Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2017 Aug 1.
Published in final edited form as: Am J Addict. 2016 Nov 4;26(5):516–525. doi: 10.1111/ajad.12463

Pharmacogenetics of alcoholism treatment: Implications of ethnic diversity

Anita Cservenka 1, Megan M Yardley 2, Lara A Ray 2,3,4
PMCID: PMC5484746  NIHMSID: NIHMS863725  PMID: 28134463

Abstract

Background and Objectives

Pharmacogenetic studies of alcohol use disorder (AUD) have suggested that the efficacy of treatments for AUD is, in part, influenced by the genetic background of an individual. Since the frequency of alleles associated with pharmacotherapy for AUD varies by ancestral background, the effectiveness of medications used to treat AUD may vary among different populations. The purpose of this review is to summarize the existing pharmacogenetic studies of treatments for AUD in individuals of European, East Asian, African, and American Indian/Alaska Native ancestry.

Methods

Electronic databases were searched for pharmacogenetic studies of AUD treatment that included individuals of diverse ancestral backgrounds.

Results

Pharmacogenetic studies of AUD reviewed here have primarily investigated genetic variation thought to play a role in the response to naltrexone, ondansetron, and topiramate. There is support that the A118G polymorphism should be further investigated in individuals of East Asian ancestry.

Discussion and Conclusions

Given the lack of pharmacogenetic research on response to AUD medication in ethnic minority populations and the mixed results, there is a critical need for future studies among individuals of different ancestries. More efforts should be devoted to standardizing procedures such that results can be more readily integrated into a body of literature that can directly inform clinical practice.

Scientific Significance

This review highlights the importance for future research to aim for inclusiveness in pharmacogenetic studies of AUD and increase diversity of clinical trials in order to provide the best treatment outcomes for individuals across different racial and ethnic groups.

1. Introduction

There have been an abundance of both animal and human studies highlighting the importance of genetic factors in alcohol use disorder (AUD) and how these factors, in turn, affect response to treatment (for review see1). Genetic factors are thought to account for nearly half of the vulnerabilities leading to AUD as determined using twin, adoption, and family studies.2 Furthermore, ancestry significantly influences alcohol response and patterns of alcohol use.2

As AUD has a large genetic component, specific risk-conferring genes may be captured through variance in single nucleotide polymorphisms (SNPs) in candidate genes which, in turn, serve as determinants of alcohol consumption and response to alcohol as a pharmacological agent itself (for review see3). As an example, in a genome-wide association study using a sample of individuals of Asian ancestry, Quillen et al. reported that SNPs found in the aldehyde dehydrogenase (ALDH2) region are strongly associated with both flushing response and daily maximum drinks.4 Similarly, genetic variance not only affects response to alcohol, but can affect response to pharmacotherapies. A study conducted by Kiefer et al., in a sample largely comprised of individuals of European ancestry, found that a SNP in the gene for GATA-binding protein 4 (GATA4), rs13273672, believed to be important in embryogenesis and regulation of myocardial differentiation and function,5, 6 was associated with relapse and more importantly, with response to acamprosate.7 Individuals homozygous for the G allele were more likely to relapse to heavy drinking by the end of the treatment period compared to A/A or A/G individuals. This is just one example of how certain genetic alleles influence pharmacologic response to AUD medications (recently reviewed by8).

Among individuals of non-European ancestries, certain genetic polymorphisms have been associated with both increased risk for AUD and protective effects against the development of AUD. In a study comparing alcohol dependent (AD) individuals of African ancestry and healthy controls, Ittiwut et al. identified differences in SNPs spanning Gamma-Aminobutyric Acid subtype A Receptor (GABAAR), Gamma 1 gene (GABRG1), and GABAAR, Alpha 2 gene (GABRA2) and their association with alcohol dependence.9 This is of particular importance as the GABAergic system is a known, primary target of alcohol and recent literature has identified GABAA receptor genes, specifically GABRA2, as a candidate gene for AUD.10 Similarly, in this same population, a variant of the alcohol dehydrogenase 1B gene, ADH1 B*3, along with two variants of the aldehyde dehydrogenase 1 family member A1 gene, ALDH1 A1*2 and ALDH1 A1*3, also appear to have protective effects against alcoholism.11 Furthermore, in Southwest Indians, ADH1 B*3 has shown protective effects against alcoholism,12 while in Mexican American men, a variant of the alcohol dehydrogenase 1C gene, ADH1C*2, and cytochrome P450 2E1 (CYP2E1) c2/C alleles are associated with alcohol dependence.13 Not only does ancestral background influence risk for or protection against AUD, but it also affects response to pharmacotherapy (for review see14). Thus far, the most well studied pharmacogenetic effects have been reported for naltrexone (NTX), ondansetron, topiramate, and acamprosate,15 with NTX representing the most widely studied pharmacotherapy. However, very few studies to date have considered ancestry as a moderator of pharmacogenetic response in individuals with AUD, or have replicated findings from participants of European ancestry to ethnically diverse samples.

The present review discusses personalized treatment of AUD and considers genetic variation as a predictor of clinical response to pharmacotherapy for AUD. While we acknowledge that pharmacogenetics can also affect response to alcohol itself, the literature on genetics of alcohol response is beyond the scope of this review and is discussed elsewhere in this special issue and in previously published reports (for review see16). Specifically, we focused the present review on studies assessing the effect of gene variants on AUD treatment response among diverse ancestries. We begin with a discussion of health disparities in treatments for AUD, then review the existing studies of pharmacogenetics of treatment response in alcoholism among individuals of diverse ancestries, and conclude with recommendations for future research in this relatively new era of precision medicine.

2. Existing Health Disparities Among Ethnic Minority Groups

Pharmacotherapies for AUD in ethnic minority populations represent an important line of research in view of the reported disparities in the use of alcohol treatment services and the differences in alcohol consumption and consequences from alcohol use across ethnic groups (for review see17). A recent longitudinal study conducted by Mulia et al. examined disparities in the use of alcohol treatment services. The authors compared six different racial-ethnic groups (European Americans, African Americans, US born Hispanics, immigrant Hispanics, East Asian Americans and Pacific Islanders, and American Indians1) on odds of receiving an alcohol intervention during a four-year period and found that minorities (n=3,219) had significantly lower odds of receiving treatment compared to European Americans (OR=0.62). Individually, US born Hispanics (OR=0.38) and immigrant Hispanics (OR=0.13) both had significantly lower odds of receiving an alcohol intervention during the four-year period compared to European Americans. Interestingly, after adjusting for demographics and drinking-related variables, the differences between European Americans and ethnic minorities became stronger in statistical significance. Given ethnic disparities in alcohol-related problems and access to effective treatments,17 consideration of ethnic background in clinical trials and human laboratory studies may provide greater access to personalized treatments for AUD that are sensitive to ethnic differences in treatment response.

Not only does it appear that racial-ethnic minorities have lower odds of receiving treatment, but these minority groups may actually benefit from additional treatment support compared to European Americans.18 A study by Acevedo et al. assessed whether there were racial-ethnic disparities in the probability to seek treatment for substance use disorder.18 The authors determined whether participation in outpatient treatment was correlated with subsequent arrests, treatment engagement and time to an arrest as the primary outcomes among European Americans, African Americans,2 Latinos, and American Indians from four distinct geographical locations. They found significant differences in both treatment initiation and engagement among the racial-ethnic groups. For example, in New York, African Americans were less likely to engage in treatment compared to European Americans. Furthermore, they found that treatment engagement was related to a decrease in subsequent arrests; however, the extent of the effect varied by geographic location. Not only does this study suggest that there are disparities among treatment initiation and treatment engagement between racial and ethnic groups, but these data provide evidence of the need to personalize AUD medication across different ancestries.

3. Pharmacogenetic Studies of Treatment for Alcohol Use Disorder in Individuals of Diverse Ancestries

As noted above, the majority of prior pharmacogenetic studies examining the efficacy of FDA-approved and non-approved treatments for AUD have largely included participants of European ancestry (for review, see8). However, the existing health disparities in AUD treatment underscore the need to advance research in pharmacogenetic studies of treatments for AUD. Given that the frequency of alleles for many of the genes implicated in AUD differs by ancestry,19 and that the subjective effects of alcohol and alcohol metabolism are influenced by genetic variation of these loci,2022 it is critical to understand how treatments for AUD interact with candidate genes across individuals of different ancestries. The following section reviews pharmacogenetic studies of AUD treatment in individuals of European, East Asian, African, and American Indian/Alaska Native ancestry (Table 1).

Table 1.

Pharmacogenetic Studies in the Treatment of Alcohol Use Disorder among Diverse Ancestries

Primary Ancestry Study Gene Polymorphism Alleles Allele Frequencies Across Populations Medication Sample Size (N) Gene-by-Medication Findings
European Oslin et al., 2003 OPRM1 rs1799971 A/G CEU (0.85/0.15), JPT (0.51/0.49), ASW (0.95/0.05) NTX 141 G allele carriers

Gelernter et al., 2007b OPRM1 rs1799971 NTX 215

Anton et al., 2008 OPRM1 rs1799971 NTX 604 G allele carriers

Ooteman et al., 2009b OPRM1 rs1799971 NTX 108

Kranzler et al., 2013 OPRM1 rs1799971 NTX 158 G allele carriers

Arias et al., 2014b OPRM1 rs1799971 NTX 107

Oslin et al., 2015 OPRM1 rs1799971 NTX 221

Arias et al., 2008b OPRM1 rs1799971 Nalmefene 272

Johnson et al., 2011 SLC6A4 5-HTTLPRd + rs1042173 A/C CEU (0.58/0.42), JPT (0.16/0.84), ASW (0.77/0.23) Ondansetron 283 LL homozygotes
LL/TT homozygotes

Johnson et al., 2013 SLC6A4, HTR3A, HTR3B 5-HTTLPR + rs1042173
HTR3A- rs1150226 HTR3A-rs1176713
HTR3B-rs17614942
A/G
A/G
A/C
CEU (0.05/0.95), JPT (0/1), ASW (0.31/0.69)
CEU (0.76/0.24), JPT (0.77/0.23), ASW (0.69/0.31)
CEU (0.05/0/0.95), JPT (0/1), ASW (0.11/0.89)
Ondansetron 283 HTR3A-rs1150226-AG, HTR3A-rs1176713-GG, and/or HTR3B-rs17614942-AC + SLC6A4-LL/TT homozygotes

Ray et al., 2009 GRIK1 rs2832407 A/C CEU (0.39/0.61), JPT (0.69/0.31), ASW (0.79/0.21) Topiramate 51 side effects in A allele carriers

Kranzler et al., 2014 GRIK1 rs2832407 Topiramate 138 (122 European) C allele homozygotes


Asian/East Asian Kim et al., 2009 OPRM1 rs1799971 NTX 32 G allele carriers

Ray et al., 2012 OPRM1 rs1799971 NTX 35 ↓craving in G allele carriers

Bujarski et al., 2012 OPRM1 rs1799971 NTX 35 ↓intensity of alcohol demand in AA homozygotes


Africana Volpicelli et al., 1992 None None NTX 70 (55 African ancestry) ↓craving, drinking, relapse

Ray & Oslin, 2009 None None NTX 100

Plebani et al., 2011 None None NTX 43 ↔on subjective measures of alcohol response

AI/AN O’Malley et al., 2008 OPRM1 rs1799971e NTX, Sertraline 101 (68 AI/AN)
a

While no gene-by-medication interactions have been investigated in individuals who are primary of African ancestry, studies have investigated response to treatment. Thus, for this population treatment outcomes are listed in the gene-by-medication findings column.

b

Other genes examined, not discussed here.

c

Populations selected from the 1000 Genomes Project (Auton, et al., 2015) as examples of different ancestries for reference, and are not meant to be inclusive of all ancestries; CEU = Utah residents with North and Western European ancestry; JPT = Japanese in Tokyo, Japan; ASW = Americans of African ancestry in SW USA.

d

Extensive information on triallelic frequency for 5-HTTLPR across populations can be found in Haberstick, et al. (2015).

e

Minor allele frequency for G allele in American Indian sample = 0.13 (Ehlers, Lind, & Wilhelmsen, 2008).

= greater effect or better response to treatment in group indicated; ↔ = no gene-by-medication interaction or medication effect; ↓ = reductions in outcomes indicated; AI/AN = American Indian/Alaska Native, NTX = naltrexone

3.1 Individuals of European Ancestry

Variations in the μ-opioid receptor (OPRM1) gene and response to NTX are among the most commonly investigated pharmacogenetic effects in research on AUDs. The majority of pharmacogenetics research in AUDs has been conducted in individuals of European ancestry, and these studies have largely focused on the A118G SNP of the μ-opioid receptor. The A118G SNP encodes the substitution of aspartic acid for asparagine (Asn40Asp) with some studies suggesting that G allele (Asp40) carriers3 have a greater response to hedonic and stimulating effects of alcohol,21, 22 make more requests for alcohol during self-administration, and subsequently achieve higher peak breath alcohol concentrations (BrACs).23 While evidence for the association of the A118G SNP and AUD risk has been mixed,2426 a recent meta-analysis that included over 28,000 participants of European ancestry suggested that the G allele provided a moderate protective effect against the development of substance dependence,27 although a different meta-analysis indicated that G allele carriers of Asian ancestry were at increased risk for developing an AUD.28 Differences in the relationship between A118G allele type and AUD risk across ancestries could necessitate tailoring pharmacologic treatments to individuals who carry alleles that result in the best response to the specific treatment in question.

Many studies have examined the A118G SNP and response to NTX in individuals with AUD who are of European ancestry.2935 For example, Oslin et al. conducted a study examining the association of A118G polymorphism and response to NTX; they found that A/G and G/G carriers had lower rates of relapse and increased time to heavy drinking over the 12-week treatment period compared to A/A carriers, suggesting that this polymorphism can be used to identify individuals who are more likely to benefit from treatment with NTX.29 Similarly, data from the Combined Pharmacotherapies and Behavioral Interventions for Alcohol Dependence (COMBINE) study from individuals of European ancestry who provided DNA samples were used to determine the ability of this polymorphism to predict NTX treatment response.32 Subjects with an Asp40 allele experienced more days abstinent and fewer heavy drinking days with medical management (MM) and NTX compared with medical management and placebo; there was no difference observed between treatment groups in individuals with the Asn40/Asn40 genotype. Furthermore, Asp40 carriers, compared to Asn40Asn40 carriers, had significantly better clinical outcomes when treated with NTX. Interestingly, no significant treatment-by-genotype interactions were observed when participants received MM in combination with combined behavioral intervention (CBI). The authors suggested that this may be due to CBI compensating for the placebo effect by being an intensive and effective intervention that could have precluded NTX-by-gene interactions from being observed.32 While this is a plausible hypothesis, more research is needed to understand why genetic effects may be suppressed when behavioral therapy is also provided. Finally, in addition to the association between the OPRM1 polymorphism and response to NTX, Schacht et al. reported that variation at a variable number tandem repeat (VNTR) polymorphism in the dopamine transporter gene (DAT1/SLC6A3) may moderate NTX and Asp40 allele effects on cue-elicited activation in the ventral striatum and the orbitofrontal cortex, highlighting the importance of these polymorphisms in reward processing.36

These results, however, are inconsistent with additional reports that found no association between the OPRM1 Asn40Asp polymorphism and response to NTX in primarily European-American samples.31, 34 In a study conducted by Gelernter et al., only males who participated in a Veterans Affairs Cooperative Study were recruited.31 They found that there were no interactions between treatment response and genotype. It is possible, however, that this population is unique in regards to the frequency of comorbidities present among individuals, which may have been a confounding variable. For example, within the sample for which they received genotype data, 1.5% of the military participants had a psychiatric disability unrelated to AUD, 16.8% had a medical disability unrelated to AUD, and 15% of nonmilitary participants had either a psychiatric or medical disability unrelated to AUD. Furthermore, while the majority of this sample was comprised of European Americans (73.6%), African Americans accounted for the other 24.4%, which may have also skewed the results. Similarly, the study by Arias et al. recruited veterans who, in addition to being AD, had also been diagnosed with a mood, anxiety, or psychotic disorder.34 This again could account for the discrepancy between these results and the aforementioned studies that found an association between the OPRM1 Asn40Asp polymorphism and response to NTX in primarily European-American samples. While most previous studies have examined the interaction of NTX and the Asp40 allele in retrospective analyses of clinical trial data, a recent prospective study of a 12-week clinical trial in which Asp40 allele carriers were oversampled, did not find any significant NTX-by-gene interactions.30 This is important as the study included a large sample size of AD individuals and oversampled Asp40 carriers, yet failed to find a significant interaction. Findings showed a very small and nonsignificant effect of the Asp40 allele and in the opposite direction than predicted, namely that NTX would reduce heavy drinking in this group.30 In addition to NTX, other medications have been examined to understand their influence on treatment response in Asp40 carriers. For example, a pharmacogenetic study examining the effect of nalmefene in Finnish AD individuals who carried the Asp40 allele, found no significant relationship between the G allele and treatment outcomes.37 It is clear that further studies are needed to clarify the relationship between response to medications and the OPRM1 Asn40Asp SNP as both positive and negative findings have been reported across multiple studies. Greater standardization of outcome measures across clinical trials will be needed to understand if findings from previously investigated gene-by-treatment interactions can be more consistently replicated.

In addition to the Asn40Asp polymorphism, research has been conducted on other SNPs that influence AUD medication response in individuals of European ancestry, specifically, in regards to the serotonin transporter promoter polymorphism (for review see38). These data suggest that future research should probe the association between the identified SNPs and response to selective serotonin reuptake inhibitors (SSRIs), including sertraline and fluoxetine. A study by Johnson et al. investigated the effect of variation at a VNTR in the serotonin transporter gene to examine whether it predicted treatment response to ondansetron, a 5-HT3 antagonist, in participants primarily of European ancestry (n=283).39 The study duration was 11 weeks and participants received cognitive behavioral therapy (CBT) plus treatment or placebo. They found that LL homozygotes of the 5-HTTLPR polymorphism of the SLC6A4 gene had a much better response to the medication, such that drinks per drinking day were lower and percent days abstinent were higher compared to LS/SS participants. An additional benefit was seen in individuals who were TT homozygotes of the rs1042173 SNP in the same gene, such that SLC6A4-LL/TT individuals had the greatest proportion of abstinent days and lowest drinks/drinking day compared to individuals with other allele combinations. Within this same sample, the authors investigated the possibility of using multiple genotype combinations to better predict ondansetron treatment outcomes.40 Among several polymorphisms in the 5-hydroxytryptamine receptor 3A (HTR3A) and receptor 3B (HTR3B) genes, they found possession of one of three additional genotypes, HTR3A-rs1150226-AG, HTR3A-rs1176713-GG, and/or HTR3B-rs17614942-AC, in combination with the genotype identified in the previously mentioned study (i.e. SLC6A4-LL/TT) was associated with better ondansetron treatment response.

Of importance, additional studies have been conducted in attempts to identify novel SNPs that predict response to medications in development for the treatment of AUD. Kranzler et al. have recently examined several SNPs of the Glutamate Receptor, Ionotropic, Kainate 1 (GRIK1) gene as predictors of response to treatment with topiramate.41 While they found that topiramate, compared to placebo, was able to significantly reduce heavy drinking days and increased days abstinent in the entire sample (n=138), heavy drinking days in European Americans who participated in this study (n=122) were significantly lower, compared to placebo, in rs2832407 C-allele homozygotes. Ray et al. also examined several SNPs of the GRIK1 gene as predictors of topiramate-induced side effects in a sample of individuals primarily of European ancestry.42 They found that the rs2832407 SNP was related to topiramate-induced side effects and the topiramate serum concentration. Specifically, this SNP in GRIK1, appears to moderate the effect of topiramate treatment on drinking reduction,41 such that C/C homozygotes receiving topiramate significantly reduced their frequency of heavy drinking days relative to C/C homozygotes who received placebo. This effect, however, was not present in A allele carriers. A search of this SNP in the Database of Single Nucleotide Polymorphisms (dbSNP) Bethesda (MD): National Center for Biotechnology Information, National Library of Medicine,43 suggests that C/C homozygotes tend to be more prevalent (35–45%) among individuals of European ancestry based on data from the HapMap project, as about 60% of individuals of European ancestry carry the C allele 43,44. While additional work is needed to identify novel SNPs and establish the clinical significance of these SNPs in relation to medication development, this research highlights the importance of personalized medicine across ethnicities.

3.2 Individuals of East Asian Ancestry

Pharmacogenetic studies of treatment response for AUD in individuals of East Asian ancestry have largely focused on the A118G SNP and response to NTX. The allele frequencies of the A118G SNP vary as a function of ancestral background, such that individuals of East Asian ancestry are more likely to be G allele carriers relative to individuals of European ancestry, as about 40% of Koreans carry the G allele.19 These differences suggest that investigation of pharmacogenetic interactions of the A118G SNP with NTX’s effects is a necessary step in understanding how ancestral background influences treatment efficacy.

The first treatment trial investigating the pharmacogenetic response of NTX in a non-European sample, examined the Asn40Asp polymorphism in Korean AD individuals. This investigation found that treatment-adherent A/G or G/G (n=16) carriers took significantly longer to relapse (p = 0.014) than A/A carriers (n=16),45 similar to what has been previously reported in individuals of European ancestry, who had both significantly lower rates of relapse and a longer time to return to heavy drinking, as well as an increased percentage of days abstinent and a decreased percentage of heavy drinking days.32 The underlying mechanism of this treatment response may be informed by a study of heavy drinking individuals of East Asian ancestry who were treated with NTX and received intravenous (IV) alcohol administration.46 The authors found that G allele carriers (n=22) were less likely to crave alcohol when treated with NTX relative to placebo or A allele (Asn40) homozygotes (n=13; p < 0.05). Thus, NTX appears to be most effective in Asp40 carriers, individuals who experience greater hedonic and stimulating subjective effects from alcohol administration.21, 22 The findings above indicate that individuals of East Asian ancestry who carry the G allele may benefit from NTX treatment compared to Asn40 homozygotes, through a reduction of reward-related craving response, which could in turn lead to a better clinical response. A behavioral economics study of pharmacogenetic response to NTX, using the same sample of participants as the study above, implemented an Alcohol Purchase Task to understand the relative value of alcohol in heavy drinking individuals of East Asian ancestry.47 Findings suggest that relative to placebo, NTX-treated AA homozygotes had a lower intensity of demand for alcohol when consumption cost was zero (p = 0.07). Unexpectedly, however, this effect was not present in G allele carriers treated with NTX. In order to control for potential confounders, the ALDH2 and ADH1B alcohol metabolizing genes were examined as covariates in this study, but neither of these genes had any relationship with the behavioral economic measures. Thus, while in the IV alcohol administration study, NTX was effective at reducing craving in G allele carriers, findings from the behavioral economics study indicate that NTX may not be particularly effective at reducing demand for alcohol in the absence of consumption cost in individuals carrying the G risk allele. More research is needed to understand the underlying mechanisms contributing to these mixed findings.

Sex has been controlled for in some of the studies described above,47 but it is important to consider that sex may also moderate the observed pharmacotherapeutic effects. A study examining the frequency of A and G alleles in AD Koreans and healthy controls indicated that the G allele was more frequent in AD women but not in AD men.48 These findings suggest that the benefits of NTX treatment for Asp40 carriers may be limited to female G allele carriers. Thus, enrolling female participants in clinical trials and laboratory studies is an important step of understanding the benefits of NTX for G allele carriers of East Asian ancestry.

There is evidence that other opioid receptor antagonists, such as naloxone, moderate cortisol responses differently in Asp40 carriers relative to Asn40 homozygotes.49, 50 Given the relationship between alcohol and activation of the hypothalamic-pituitary-adrenal axis,51 pharmacogenetic studies of naloxone may be another important avenue of investigation in AD individuals, who show altered cortisol response.52 An investigation of 30 healthy individuals (n=6 Asp40 carriers; n=24 Asn40 homozygotes) used a within-subjects design to examine the effect of naloxone or placebo on plasma cortisol and adrenocorticotropin releasing hormone levels. Healthy Asp40 carriers had higher baseline cortisol levels and higher cortisol response to IV naloxone administration than Asn40 homozygotes (p’s < 0.05),50 but a subsequent study found that this effect was limited to individuals of East Asian ancestry (n=6; p < 0.05).49 These findings point to population-specific effects of opioid receptor blockade when examining Asp40 carriers and indicate that individuals of East Asian ancestry may respond differently to pharmacologic treatment, which could result in different clinical outcomes for this population.

Collectively, the studies in individuals of East Asian ancestry, to date, suggest that this population may benefit from tailored pharmacological treatments, as those who are Asp40 carriers of the OPRM1 gene are overrepresented in individuals of East Asian relative to other ancestries. Future research may also examine the long-term benefits of NTX treatment in individuals of East Asian ancestry as well as investigate similar pharmacological treatments that have not yet been tested in this population, such as nalmefene. Furthermore, futures studies should aim for larger samples as most previous research in this population has been limited to small sample sizes. The smaller sample sizes of studies in individuals of East Asian ancestry could explain why some of the promising findings with response to NTX treatment in Asp40 carriers may not consistently replicate across larger studies that have been conducted in individuals of European ancestry.30, 34, 35

3.3 Individuals of African Ancestry

To date, NTX treatment response has been investigated in two pharmacologic studies among individuals of African ancestry and in one study that included predominantly African American individuals (>74%). In the latter study, twelve weeks of NTX treatment relative to placebo was associated with reductions in craving for alcohol, a decrease of subsequent drinking after consuming one drink, and a clinically significant reduction in relapse.53 In contrast, a sub-analysis of the COMBINE study, which included a 16-week treatment trial with NTX, was conducted in a population of AD individuals of African ancestry, but in this sub-analysis, NTX did not have an effect on number of days abstinent, clinical outcomes, or time until the first heavy drinking day, which were the main outcomes from the COMBINE Study.54 While, this study did not examine genetic moderators of treatment response, the frequency of the Asp40 allele has been shown to be <5% in individuals of African ancestry44, which could account for the poor treatment response to NTX in this study. A subsequent alcohol challenge study in social drinkers of African ancestry also did not find an effect of NTX on any subjective measures of alcohol-related effects.55 However, once again, genetic moderation was not examined, nor have there been any alcohol-related challenge studies conducted in AD individuals of African ancestry. These two studies highlight both the potential lack of NTX’s effect in patients of African ancestry, in addition to the unmet need for testing FDA-approved (e.g. acamprosate, disulfiram, NTX), and non-FDA approved (i.e. sertraline, topiramate) medications for the treatment of AUD in individuals of African ancestry, as NTX remains the only medication tested to date.

3.4 Individuals of American Indian/Alaska Native Ancestry

American Indian/Alaska Native (AI/AN) populations experience high rates of alcoholism, including the greatest lifetime prevalence of alcohol dependence, as well as the highest rates of heavy and binge drinking relative to individuals of other ancestries in the United States.56 Thus, pharmacotherapeutic treatment options for reducing alcohol-related problems in individuals of AI/AN ancestry is critical. A randomized, controlled trial of 101 participants, 68 of whom were of AI/AN ancestry was conducted to examine the efficacy of NTX alone and in combination with sertraline, an SSRI, on alcohol-related outcomes after a 16-week treatment trial.57 NTX treatment alone resulted in significantly lower reports of drinking-related consequences in AI/AN participants at the end of the trial (38% of sample) relative to placebo treatment (72% of sample). There was also a trend-level effect for medication treatment to increase the number of days abstinent during the trial, relative to placebo. Combination treatment with sertraline did not have a significantly different effect on alcohol use outcomes relative to NTX alone in the total sample or the subsample of AI/AN individuals. A pharmacogenetic analysis was also conducted in this study to investigate whether the presence of the Asp40 allele moderated the results. Alcohol-related treatment outcomes, such as drinking-related consequences, which were significantly reduced with NTX, did not depend on the presence of the G allele (17 of the 92 genotyped participants), as the results were nearly identical for the 75 A/A homozygotes compared to the total sample (92 genotyped participants). These findings suggest that in individuals of AI/AN ancestry, it is possible that while NTX treatment alone is effective at reducing drinking-related consequences and increasing the number of days abstinent, The frequency of the G allele in American Indians (13%)58 is similar to the frequency in individuals of European ancestry (15%)44, but much less frequent than in individuals of Asian ancestry (~40–50%)19, 44. Thus, OPRM1 genotype may not be influencing the efficacy of NTX in individuals of AI/AN ancestry. While these findings need to be confirmed with additional clinical trials that include individuals of AI/AN ancestry, and larger sample sizes, NTX treatment may be a promising pharmacologic treatment to pursue in individuals of AI/AN ancestry who suffer disproportionately from lifetime alcohol dependence and heavy drinking relative to individuals of other ancestries in the United States.56

4. Discussion

It is well-established that given the heterogeneity and complexity of AUD, as well as differences in consumption and consequences of alcohol use among ethnic groups (for review see17), there is an unmet need for personalized AUD treatment.59 Given the rather modest clinical effects associated with the currently approved medications for AUD, not only is it necessary to develop novel therapeutics for the treatment of AUD, but it is also important to identify those patients most likely to respond to the available medications to improve treatment outcomes.60 This review summarizes existing studies that analyze the effect of gene variants on AUD pharmacotherapy response in individuals of diverse ancestries. We first highlighted the implications of health disparities in access to healthcare and response to treatment. Then, we reviewed the current literature discussing AUD treatment response among individuals of different ancestries and the role of pharmacogenetics in treatment response. The most frequently studied polymorphism is the Asn40Asp SNP of the OPRM1 gene. While the findings are mixed for individuals of European ancestry, more promising findings emerge among G allele carriers of East Asian ancestry.45,46 This population may benefit the most from NTX treatment relative to individuals of other ancestries, but further studies are needed with much larger sample sizes to replicate these effects. However, very few studies exist on pharmacogenetics of AUD in individuals of African or AI/AN ancestry, so the field is far from being able to make any conclusions in these populations, and we found no pharmacogenetic studies of AUD in individuals of predominantly Hispanic and/or Latino ancestry. Thus, there is significant work to be done to understand which populations respond most favorably to a medication, with the hope that these advances in pharmacogenetics and precision medicine will decrease exposure to treatments that are known to be ineffective in certain individuals.

It is also important to note that while a heterogeneous sample may be more generalizable, it is not the most effective or informative measure of treatment effects given the known association of genetic markers and other variables including sex and cortisol levels. Rather, the need for carefully designed prospective clinical trials targeted to the population that will generate the best response to the experimental treatment in an effort to increase the probability of detecting an effect and to maximize treatment outcomes is critical.60, 61 Oftentimes, there are no standardized methods across AUD clinical trials making it difficult to compare studies, which may be, in part, responsible for the numerous discrepancies in the aforementioned studies.62 While the authors acknowledge the clinical application of this research is limited, given the known effect of genetics on response to medication, the use of genotype testing to predict response to AUD medication is a promising approach and requires additional research with standardized methods and stronger reproducible findings. The trend towards standardizing procedures is also noted in the clinical trials arena wherein new medications may be developed and ultimately receive FDA approval for the indication of AUD. 63, 64

As elegantly discussed by Tate and Goldstein, health disparities among individuals of different ancestries can be reduced by making medicines more inclusive.65 This should be achieved by conducting pharmacogenetics research in populations of diverse ancestral background and by increasing the diversity of clinical trial enrollment. Further, it is important to consider ancestral and genetic background of the individual as it remains unclear what factors are primarily contributing to drug response whether it be genetics, environmental correlates of drug response within a specific population, or their interaction.65 Additionally, laboratory experimental psychopathology studies that examine genetic moderators of pharmacotherapeutic response during alcohol administration, behavioral economics, alcohol cue, and stress reactivity paradigms are largely absent in ethnic minority populations, with a few exceptions.47, 49 Conducting these studies would advance research aimed at understanding the mechanisms by which specific genetic alleles moderate the response to pharmacotherapies for AUD, which could in turn inform clinical trials of AUD treatments among different racial and ethnic populations. These goals for inclusive healthcare should be addressed in pharmacogenetics research and clinical trials of individuals with AUD.

The advancement of pharmacogenetics and personalized medicine provides promise for more effective treatments across populations, but it is essential to discuss the care that should be taken for integrating pharmacogenetics into clinical practice. There is considerable controversy on the use of race in research and how to best translate results from studies that have used racial categories66, 67. There is the possibility of misusing terms associated with race and/or genetic variation that can result in negative social consequences66, 67. Interviews with clinicians suggest that individually tailored treatment based on pharmacogenetics information is still in its infancy and that currently, racial identity is used to represent someone’s genetic ancestry68. Thus, continued discussions on the ethics of pharmacogenetics research need to be encouraged to best inform the use of genetic ancestry information in clinical practice.

While this review focuses on pharmacogenetic studies of treatment for AUD in four different ancestries including European, East Asian, African American, and American Indian/Alaskan Native, it is important to acknowledge that there is much variation in regards to genetics, culture and environmental exposure within each broader classification.69 Another limitation of many pharmacogenetic studies is that participants are often asked to self-identify as a specific ethnicity. Due to recent genetic admixture, it is becoming increasingly difficult to rely on self-reports for pharmacogenetic studies. Therefore, the use of ancestry-informative markers is encouraged to accurately detect stratification in the aforementioned admixed populations such as Latinos and Hispanics.

In conclusion, this review highlights the lack of experimental psychopathology laboratory studies among individuals of non-European ancestry with AUD and the near absence of subjects of non-European ancestry in clinical trials examining pharmacologic treatments for AUD. We emphasize the need for pharmacogenetic studies that address the role of ethnic diversity to contribute to inclusive healthcare and personalized medicine for the treatment of AUD.

Acknowledgments

This work was supported by the National Institute on Alcohol Abuse and Alcoholism to Lara A. Ray: R01 AA021744, R21 AA022214, R21 AA022752, and Megan M. Yardley: F32 AA023449, and the National Institute on Drug Abuse to Edythe D. London, Departments of Psychiatry and Biobehavioral Sciences and Molecular and Medical Pharmacology, University of California, Los Angeles: T32 DA024635.

Footnotes

1

American Indian individuals were referred to as “Native Americans”, while European Americans were referred to as “Whites” in this study. These terms were replaced in order to use consistent terminology and will be used throughout the manuscript when referring to these racial groups.

2

African American individuals were referred to as “Blacks” in this study. This term was replaced in order to use consistent terminology and will be used throughout the manuscript when referring to this racial group.

3

G allele is synonymous with Asp40, while A allele is synonymous with Asn40, and both are used interchangeably throughout the manuscript.

Declaration of Interest: Lara Ray is a paid consultant for GSK and has received study medication from Pfizer and Medicinova.

References

  • 1.Mayfield RD, Harris AH, Schuckit MA. Genetic factors influencing alcohol dependence. Br J Pharmacol. 2008;15:275–287. doi: 10.1038/bjp.2008.88. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Iyer-Eimerbrink PA, Nurnberger JI., Jr Genetics of alcoholism. Curr Psychiatry Rep. 2014;16:518–529. doi: 10.1007/s11920-014-0518-0. [DOI] [PubMed] [Google Scholar]
  • 3.Caetano R, Clark CL, Tam T. Alcohol consumption among racial/ethnic minorities. Alcohol Health Res World. 1998;22:233–241. [PMC free article] [PubMed] [Google Scholar]
  • 4.Quillen EE, et al. ALDH2 is associated to alcohol dependence and is the major genetic determinant of “daily maximum drinks” in a GWAS study of an isolated rural Chinese sample. Am J Med Genet B Neuropsychiatr Genet. 2014;165B:103–110. doi: 10.1002/ajmg.b.32213. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Molkentin JD. The zinc finger-containing transcription factors GATA-4, -5, and -6. Ubiquitously expressed regulators of tissue-specific gene expression. J Biol Chem. 2000;275:38949–38952. doi: 10.1074/jbc.R000029200. [DOI] [PubMed] [Google Scholar]
  • 6.Huang HN, et al. miR-200c and GATA binding protein 4 regulate human embryonic stem cell renewal and differentiation. Stem Cell Res. 2014;12:338–353. doi: 10.1016/j.scr.2013.11.009. [DOI] [PubMed] [Google Scholar]
  • 7.Kiefer F, et al. Involvement of the atrial natriuretic peptide transcription factor GATA4 in alcohol dependence, relapse risk and treatment response to acamprosate. Pharmacogenomics J. 2011;11:368–374. doi: 10.1038/tpj.2010.51. [DOI] [PubMed] [Google Scholar]
  • 8.Jones JD, Comer SD, Kranzler HR. The pharmacogenetics of alcohol use disorder. Alcohol Clin Exp Res. 2015;39:391–402. doi: 10.1111/acer.12643. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Ittiwut C, et al. GABRG1 and GABRA2 variation associated with alcohol dependence in African Americans. Alcohol Clin Exp Res. 2012;36:588–593. doi: 10.1111/j.1530-0277.2011.01637.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Li D, et al. Association of gamma-aminobutyric acid A receptor alpha2 gene (GABRA2) with alcohol use disorder. Neuropsychopharmacology. 2014;39:907–918. doi: 10.1038/npp.2013.291. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Scott DM, Taylor RE. Health-related effects of genetic variations of alcohol-metabolizing enzymes in African Americans. Alcohol Res Health. 2007;30:18–21. [PMC free article] [PubMed] [Google Scholar]
  • 12.Ehlers CL. Variations in ADH and ALDH in Southwest California Indians. Alcohol Res Health. 2007;30:14–17. [PMC free article] [PubMed] [Google Scholar]
  • 13.Konishi T, et al. The ADH3*2 and CYP2E1 c2 alleles increase the risk of alcoholism in Mexican American men. Exp Mol Pathol. 2003;74:183–189. doi: 10.1016/s0014-4800(03)00006-6. [DOI] [PubMed] [Google Scholar]
  • 14.Enoch M. Genetic influences on response to alcohol and response to pharmacotherapies for alcoholism. Pharmacol Biochem Beh. 2014:17–24. doi: 10.1016/j.pbb.2013.11.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Batki SL, Pennington DL. Toward personalized medicine in the pharmacotherapy of alcohol use disorder: targeting patient genes and patient goals. Am J Psychiatry. 2014;171:391–394. doi: 10.1176/appi.ajp.2014.14010061. [DOI] [PubMed] [Google Scholar]
  • 16.Enoch M. Pharmacogenomics of alcohol response and addiction. Am J Pharmacogenomics. 2003;3:217–232. doi: 10.2165/00129785-200303040-00001. [DOI] [PubMed] [Google Scholar]
  • 17.Chartier K, Caetano R. Ethnicity and health disparities in alcohol research. Alcohol Res Health. 2010;33:152–160. [PMC free article] [PubMed] [Google Scholar]
  • 18.Acevedo A, et al. Performance measures and racial/ethnic disparities in the treatment of substance use disorders. J Stud Alcohol Drugs. 2015;76:57–67. [PMC free article] [PubMed] [Google Scholar]
  • 19.Kim SG, et al. Association of functional opioid receptor genotypes with alcohol dependence in Koreans. Alcohol Clin Exp Res. 2004;28:986–990. doi: 10.1097/01.alc.0000130803.62768.ab. [DOI] [PubMed] [Google Scholar]
  • 20.Ray LA, et al. Subjective response to alcohol among alcohol-dependent individuals: effects of the mu-opioid receptor (OPRM1) gene and alcoholism severity. Alcohol Clin Exp Res. 2013;37(Suppl 1):E116–124. doi: 10.1111/j.1530-0277.2012.01916.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Ray LA, Hutchison KE. A polymorphism of the mu-opioid receptor gene (OPRM1) and sensitivity to the effects of alcohol in humans. Alcohol Clin Exp Res. 2004;28:1789–1795. doi: 10.1097/01.alc.0000148114.34000.b9. [DOI] [PubMed] [Google Scholar]
  • 22.Ray LA, et al. Polymorphisms of the mu-opioid receptor and dopamine D4 receptor genes and subjective responses to alcohol in the natural environment. J Abnorm Psychol. 2010;119:115–125. doi: 10.1037/a0017550. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Hendershot CS, Claus ED, Ramchandani VA. Associations of OPRM1 A118G and alcohol sensitivity with intravenous alcohol self-administration in young adults. Addict Biol. 2014 doi: 10.1111/adb.12165. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Rouvinen-Lagerstrom N, et al. mu-Opioid receptor gene (OPRM1) polymorphism A118G: lack of association in Finnish populations with alcohol dependence or alcohol consumption. Alcohol Alcohol. 2013;48:519–525. doi: 10.1093/alcalc/agt050. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Schinka JA, et al. A functional polymorphism within the mu-opioid receptor gene and risk for abuse of alcohol and other substances. Mol Psychiatry. 2002;7:224–228. doi: 10.1038/sj.mp.4000951. [DOI] [PubMed] [Google Scholar]
  • 26.Bart G, et al. Increased attributable risk related to a functional mu-opioid receptor gene polymorphism in association with alcohol dependence in central Sweden. Neuropsychopharmacology. 2005;30:417–422. doi: 10.1038/sj.npp.1300598. [DOI] [PubMed] [Google Scholar]
  • 27.Schwantes-An TH, et al. Association of the OPRM1 Variant rs1799971 (A118G) with Non-Specific Liability to Substance Dependence in a Collaborative de novo Meta-Analysis of European-Ancestry Cohorts. Behav Genet. 2016;46:151–169. doi: 10.1007/s10519-015-9737-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Chen D, et al. Ethnic-specific meta-analyses of association between the OPRM1 A118G polymorphism and alcohol dependence among Asians and Caucasians. Drug Alcohol Depend. 2012;123:1–6. doi: 10.1016/j.drugalcdep.2011.10.012. [DOI] [PubMed] [Google Scholar]
  • 29.Oslin DW, et al. A functional polymorphism of the mu-opioid receptor gene is associated with naltrexone response in alcohol-dependent patients. Neuropsychopharmacology. 2003;28:1546–1552. doi: 10.1038/sj.npp.1300219. [DOI] [PubMed] [Google Scholar]
  • 30.Oslin DW, et al. Naltrexone vs Placebo for the Treatment of Alcohol Dependence: A Randomized Clinical Trial. JAMA Psychiatry. 2015;72:430–437. doi: 10.1001/jamapsychiatry.2014.3053. [DOI] [PubMed] [Google Scholar]
  • 31.Gelernter J, et al. Opioid receptor gene (OPRM1, OPRK1, and OPRD1) variants and response to naltrexone treatment for alcohol dependence: results from the VA Cooperative Study. Alcohol Clin Exp Res. 2007;31:555–563. doi: 10.1111/j.1530-0277.2007.00339.x. [DOI] [PubMed] [Google Scholar]
  • 32.Anton RF, et al. An evaluation of mu-opioid receptor (OPRM1) as a predictor of naltrexone response in the treatment of alcohol dependence: results from the Combined Pharmacotherapies and Behavioral Interventions for Alcohol Dependence (COMBINE) study. Arch Gen Psychiatry. 2008;65:135–144. doi: 10.1001/archpsyc.65.2.135. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Kranzler HR, Armeli S, Covault J, Tennen H. Variation in OPRM1 moderates the effect of desire to drink on subsequent drinking and its attenuation by naltrexone treatment. Addict Biol. 2013;18:193–201. doi: 10.1111/j.1369-1600.2012.00471.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Arias AJ, Gelernter J, Gueorguieva R, Ralevski E, Petrakis IL. Pharmacogenetics of naltrexone and disulfiram in alcohol dependent, dually diagnosed veterans. Am J Addict. 2014;23:288–293. doi: 10.1111/j.1521-0391.2014.12102.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Ooteman W, et al. Predicting the effect of naltrexone and acamprosate in alcohol-dependent patients using genetic indicators. Addict Biol. 2009;14:328–337. doi: 10.1111/j.1369-1600.2009.00159.x. [DOI] [PubMed] [Google Scholar]
  • 36.Schacht JP, et al. Interacting effects of naltrexone and OPRM1 and DAT1 variation on the neural response to alcohol cues. Neuropsychopharmacology. 2013;38:414–422. doi: 10.1038/npp.2012.195. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Arias AJ, et al. Effects of opioid receptor gene variation on targeted nalmefene treatment in heavy drinkers. Alcohol Clin Exp Res. 2008;32:1159–1166. doi: 10.1111/j.1530-0277.2008.00735.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Feinn R, Nellissery M, Kranzler HR. Meta-analysis of the association of a functional serotonin transporter promoter polymorphism with alcohol dependence. Am J Med Gen. 2005;133B:79–84. doi: 10.1002/ajmg.b.30132. [DOI] [PubMed] [Google Scholar]
  • 39.Johnson BA, et al. Pharmacogenetic approach at the serotonin transporter gene as a method of reducing the severity of alcohol drinking. Am J Psychiatry. 2011;168:265–275. doi: 10.1176/appi.ajp.2010.10050755. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Johnson BA, Seneviratne C, Wang XQ, Ait-Daoud N, Li MD. Determination of genotype combinations that can predict the outcome of the treatment of alcohol dependence using the 5-HT(3) antagonist ondansetron. Am J Psychiatry. 2013;170:1020–1031. doi: 10.1176/appi.ajp.2013.12091163. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Kranzler HR, et al. Topiramate treatment for heavy drinkers: moderation by a GRIK1 polymorphism. Am J Psychiatry. 2014;171:445–452. doi: 10.1176/appi.ajp.2013.13081014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Ray LA, et al. A preliminary pharmacogenetic investigation of adverse events from topiramate in heavy drinkers. Exp Clin Psychopharmacol. 2009;17:122–129. doi: 10.1037/a0015700. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Sherry ST, et al. dbSNP: the NCBI database of genetic variation. Nucleic Acids Res. 2001;29:308–311. doi: 10.1093/nar/29.1.308. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Auton A, et al. A global reference for human genetic variation. Nature. 2015;526:68–74. doi: 10.1038/nature15393. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Kim SG, et al. A micro opioid receptor gene polymorphism (A118G) and naltrexone treatment response in adherent Korean alcohol-dependent patients. Psychopharmacology (Berl) 2009;201:611–618. doi: 10.1007/s00213-008-1330-5. [DOI] [PubMed] [Google Scholar]
  • 46.Ray LA, Bujarski S, Chin PF, Miotto K. Pharmacogenetics of naltrexone in asian americans: a randomized placebo-controlled laboratory study. Neuropsychopharmacology. 2012;37:445–455. doi: 10.1038/npp.2011.192. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Bujarski S, MacKillop J, Ray LA. Understanding naltrexone mechanism of action and pharmacogenetics in Asian Americans via behavioral economics: a preliminary study. Exp Clin Psychopharmacol. 2012;20:181–190. doi: 10.1037/a0027379. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Kim SG. Gender differences in the genetic risk for alcohol dependence–the results of a pharmacogenetic study in Korean alcoholics. Nihon Arukoru Yakubutsu Igakkai Zasshi. 2009;44:680–685. [PubMed] [Google Scholar]
  • 49.Hernandez-Avila CA, et al. Population-specific effects of the Asn40Asp polymorphism at the mu-opioid receptor gene (OPRM1) on HPA-axis activation. Pharmacogenet Genomics. 2007;17:1031–1038. doi: 10.1097/FPC.0b013e3282f0b99c. [DOI] [PubMed] [Google Scholar]
  • 50.Hernandez-Avila CA, Wand G, Luo X, Gelernter J, Kranzler HR. Association between the cortisol response to opioid blockade and the Asn40Asp polymorphism at the mu-opioid receptor locus (OPRM1) Am J Med Genet B Neuropsychiatr Genet. 2003;118B:60–65. doi: 10.1002/ajmg.b.10054. [DOI] [PubMed] [Google Scholar]
  • 51.Thiagarajan AB, Mefford IN, Eskay RL. Single-dose ethanol administration activates the hypothalamic-pituitary-adrenal axis: exploration of the mechanism of action. Neuroendocrinology. 1989;50:427–432. doi: 10.1159/000125259. [DOI] [PubMed] [Google Scholar]
  • 52.Lovallo WR, Dickensheets SL, Myers DA, Thomas TL, Nixon SJ. Blunted stress cortisol response in abstinent alcoholic and polysubstance-abusing men. Alcohol Clin Exp Res. 2000;24:651–658. [PubMed] [Google Scholar]
  • 53.Volpicelli JR, Alterman AI, Hayashida M, O’Brien CP. Naltrexone in the treatment of alcohol dependence. Arch Gen Psychiatry. 1992;49:876–880. doi: 10.1001/archpsyc.1992.01820110040006. [DOI] [PubMed] [Google Scholar]
  • 54.Ray LA, Oslin DW. Naltrexone for the treatment of alcohol dependence among African Americans: results from the COMBINE Study. Drug Alcohol Depend. 2009;105:256–258. doi: 10.1016/j.drugalcdep.2009.07.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Plebani JG, Oslin DW, Lynch KG. Examining naltrexone and alcohol effects in a minority population: results from an initial human laboratory study. Am J Addict. 2011;20:330–336. doi: 10.1111/j.1521-0391.2011.00138.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Hasin DS, Stinson FS, Ogburn E, Grant BF. Prevalence, correlates, disability, and comorbidity of DSM-IV alcohol abuse and dependence in the United States: results from the National Epidemiologic Survey on Alcohol and Related Conditions. Arch Gen Psychiatry. 2007;64:830–842. doi: 10.1001/archpsyc.64.7.830. [DOI] [PubMed] [Google Scholar]
  • 57.O’Malley SS, et al. Naltrexone alone and with sertraline for the treatment of alcohol dependence in Alaska natives and non-natives residing in rural settings: a randomized controlled trial. Alcohol Clin Exp Res. 2008;32:1271–1283. doi: 10.1111/j.1530-0277.2008.00682.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Ehlers CL, Lind PA, Wilhelmsen KC. Association between single nucleotide polymorphisms in the mu opioid receptor gene (OPRM1) and self-reported responses to alcohol in American Indians. BMC Med Genet. 2008;9:35. doi: 10.1186/1471-2350-9-35. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Schmidt L, Greenfield T, Mulia N. Unequal treatment: racial and ethnic disparities in alcoholism treatment services. Alcohol Res Health. 2006;29:49. [PMC free article] [PubMed] [Google Scholar]
  • 60.Addolorato G, Mirijello A, Leggio L. Alcohol Addiction: Toward a patient-oriented pharmacological treatment. Expert Opin Pharmacother. 2013;14:2157–2160. doi: 10.1517/14656566.2013.834047. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Oslin D. Personalized addiction treatment: how close are we? Alcohol and alcoholism. 2011;46:231–232. doi: 10.1093/alcalc/agr030. [DOI] [PubMed] [Google Scholar]
  • 62.Yardley MM, Ray LA. Medications development for the treatment of alcohol use disorder: insights into the predictive value of animal and human laboratory models. Addict Biol. 2016 doi: 10.1111/adb.12349. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Litten RZ, Falk DE, Ryan ML, Fertig JB. Discovery, Development, and Adoption of Medications to Treat Alcohol Use Disorder: Goals for the Phases of Medications Development. Alcohol Clin Exp Res. 2016 doi: 10.1111/acer.13093. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Litten RZ, et al. Heterogeneity of alcohol use disorder: understanding mechanisms to advance personalized treatment. Alcohol Clin Exp Res. 2015;39:579–584. doi: 10.1111/acer.12669. [DOI] [PubMed] [Google Scholar]
  • 65.Tate SK, Goldstein DB. Will tomorrow’s medicines work for everyone? Nat Genet. 2004;36:S34–42. doi: 10.1038/ng1437. [DOI] [PubMed] [Google Scholar]
  • 66.Caulfield T, et al. Race and ancestry in biomedical research: exploring the challenges. Genome Med. 2009;1:8. doi: 10.1186/gm8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Smart A, Martin P, Parker M. Tailored medicine: whom will it fit? The ethics of patient and disease stratification. Bioethics. 2004;18:322–342. doi: 10.1111/j.1467-8519.2004.00400.x. [DOI] [PubMed] [Google Scholar]
  • 68.Hunt LM, Kreiner MJ. Pharmacogenetics in primary care: the promise of personalized medicine and the reality of racial profiling. Cult Med Psychiatry. 2013;37:226–235. doi: 10.1007/s11013-012-9303-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Conomos MP, et al. Genetic diversity and association studies in US Hispanic/Latino populations: Applications in the Hispanic Community Health Study/ Study of Latinos. Am J Hum Genet. 2016;98:165–184. doi: 10.1016/j.ajhg.2015.12.001. [DOI] [PMC free article] [PubMed] [Google Scholar]

RESOURCES