Danielle M. Dick

Variants in Nicotinic Receptors and Risk for Nicotine Dependence

OBJECTIVE A recent study provisionally identified numerous genetic variants as risk factors for the transition from smoking to the development of nicotine dependence, including an amino acid change in the alpha5 nicotinic cholinergic receptor (CHRNA5). The purpose of this study was to replicate these findings in an independent data set and more thoroughly investigate the role of genetic variation in the cluster of physically linked nicotinic receptors, CHRNA5-CHRNA3-CHRNB4, and the risk of smoking. METHOD Individuals from 219 European American families (N=2,284) were genotyped across this gene cluster to test the genetic association with smoking. The frequency of the amino acid variant (rs16969968) was studied in 995 individuals from diverse ethnic populations. In vitro studies were performed to directly test whether the amino acid variant in the CHRNA5 influences receptor function. RESULTS A genetic variant marking an amino acid change showed association with the smoking phenotype (p=0.007). This variant is within a highly conserved region across nonhuman species, but its frequency varied across human populations (0% in African populations to 37% in European populations). Furthermore, functional studies demonstrated that the risk allele decreased response to a nicotine agonist. A second independent finding was seen at rs578776 (p=0.003), and the functional significance of this association remains unknown. CONCLUSIONS This study confirms that at least two independent variants in this nicotinic receptor gene cluster contribute to the development of habitual smoking in some populations, and it underscores the importance of multiple genetic variants contributing to the development of common diseases in various populations.

A genome-wide association study of alcohol dependence

Excessive alcohol consumption is one of the leading causes of preventable death in the United States. Approximately 14% of those who use alcohol meet criteria during their lifetime for alcohol dependence, which is characterized by tolerance, withdrawal, inability to stop drinking, and continued drinking despite serious psychological or physiological problems. We explored genetic influences on alcohol dependence among 1,897 European-American and African-American subjects with alcohol dependence compared with 1,932 unrelated, alcohol-exposed, nondependent controls. Constitutional DNA of each subject was genotyped using the Illumina 1M beadchip. Fifteen SNPs yielded P < 10−5, but in two independent replication series, no SNP passed a replication threshold of P < 0.05. Candidate gene GABRA2, which encodes the GABA receptor α2 subunit, was evaluated independently. Five SNPs at GABRA2 yielded nominal (uncorrected) P < 0.05, with odds ratios between 1.11 and 1.16. Further dissection of the alcoholism phenotype, to disentangle the influence of comorbid substance-use disorders, will be a next step in identifying genetic variants associated with alcohol dependence.

Genome-wide association study identifies multiple loci influencing human serum metabolite levels

Nuclear magnetic resonance assays allow for measurement of a wide range of metabolic phenotypes. We report here the results of a GWAS on 8,330 Finnish individuals genotyped and imputed at 7.7 million SNPs for a range of 216 serum metabolic phenotypes assessed by NMR of serum samples. We identified significant associations (P < 2.31 × 10−10) at 31 loci, including 11 for which there have not been previous reports of associations to a metabolic trait or disorder. Analyses of Finnish twin pairs suggested that the metabolic measures reported here show higher heritability than comparable conventional metabolic phenotypes. In accordance with our expectations, SNPs at the 31 loci associated with individual metabolites account for a greater proportion of the genetic component of trait variance (up to 40%) than is typically observed for conventional serum metabolic phenotypes. The identification of such associations may provide substantial insight into cardiometabolic disorders.

Understanding the construct of impulsivity and its relationship to alcohol use disorders

There are well‐established links between impulsivity and alcohol use in humans and other model organisms; however, the etiological nature of these associations remains unclear. This is likely due, in part, to the heterogeneous nature of the construct of impulsivity. Many different measures of impulsivity have been employed in human studies, using both questionnaire and laboratory‐based tasks. Animal studies also use multiple tasks to assess the construct of impulsivity. In both human and animal studies, different measures of impulsivity often show little correlation and are differentially related to outcome, suggesting that the impulsivity construct may actually consist of a number of more homogeneous (and potentially more meaningful) subfacets. Here, we provide an overview of the different measures of impulsivity used across human and animal studies, evidence that the construct of impulsivity may be better studied in the context of more meaningful subfacets, and recommendations for how research in this direction may provide for better consilience between human and animal studies of the connection between impulsivity and alcohol use.

Genome-wide association study of alcohol dependence implicates a region on chromosome 11

BACKGROUND Alcohol dependence is a complex disease, and although linkage and candidate gene studies have identified several genes associated with the risk for alcoholism, these explain only a portion of the risk. METHODS We carried out a genome-wide association study (GWAS) on a case-control sample drawn from the families in the Collaborative Study on the Genetics of Alcoholism. The cases all met diagnostic criteria for alcohol dependence according to the Diagnostic and Statistical Manual of Mental Disorders-Fourth Edition; controls all consumed alcohol but were not dependent on alcohol or illicit drugs. To prioritize among the strongest candidates, we genotyped most of the top 199 single nucleotide polymorphisms (SNPs) (p < or = 2.1 x 10(-4)) in a sample of alcohol-dependent families and performed pedigree-based association analysis. We also examined whether the genes harboring the top SNPs were expressed in human brain or were differentially expressed in the presence of ethanol in lymphoblastoid cells. RESULTS Although no single SNP met genome-wide criteria for significance, there were several clusters of SNPs that provided mutual support. Combining evidence from the case-control study, the follow-up in families, and gene expression provided strongest support for the association of a cluster of genes on chromosome 11 (SLC22A18, PHLDA2, NAP1L4, SNORA54, CARS, and OSBPL5) with alcohol dependence. Several SNPs nominated as candidates in earlier GWAS studies replicated in ours, including CPE, DNASE2B, SLC10A2, ARL6IP5, ID4, GATA4, SYNE1, and ADCY3. CONCLUSIONS We have identified several promising associations that warrant further examination in independent samples.

Candidate Genes for Alcohol Dependence: A Review of Genetic Evidence From Human Studies

F TWIN, AND adoption studies have convincingly demonstrated that genes play an important role in the development of alcohol dependence, accounting for approximately 50–60% of the population variance (McGue, 1999). Additionally, patterns of alcohol use seem to be under genetic influence. Twin studies have demonstrated that dimensions of alcohol use, such as quantity of alcohol consumed on a typical drinking occasion, frequency of use, and frequency of intoxication, and alcohol metabolism measures, such as time to peak blood alcohol concentration and rate of elimination, are under substantial genetic influence (Heath, 1995). Furthermore, there is evidence of genetic effects on patterns of alcohol use as early as adolescence, and these effects seem to increase over time (Rose et al., 2001). It is unclear to what extent the genes that influence patterns of alcohol use overlap with those that influence alcohol dependence. Despite strong evidence for genetic effects contributing to alcoholism susceptibility, detecting the specific genes that increase or decrease the risk for alcoholism has proven difficult. Many factors contribute to the slow progress in isolating the genes involved in drinking behavior. Many genes are thought to contribute to alcoholism susceptibility, and different genes are likely contributing to alcohol dependence in different individuals. Additionally, the environment plays a substantial role in drinking patterns, with nearly half of the variance in drinking patterns and alcohol dependence attributed to environmental factors. Furthermore, these genes and environments probably interact. Data from a Finnish twin study of alcohol use among adolescents demonstrated that the magnitude of genetic influences can vary dramatically between environments, with up to 5-fold differences demonstrated in different environments (Dick et al., 2001). This suggests that some environments may exacerbate the expression of genetic predispositions, whereas others may be protective. Finally, there is substantial phenotypic heterogeneity in the manifestation of alcohol dependence, with alcoholics differing on dimensions such as age of onset of problems, alcohol symptoms, drinking history, and comorbid disorders. Some evidence suggests that genes may be more important in certain subtypes of alcoholics (Cloninger et al., 1981). Other investigators have studied endophenotypes as a means to deal with the substantial heterogeneity involved in alcohol dependence. Endophenotypes are phenotypes that are thought to be intermediaries between a particular disorder and the biological processes that lead to the manifestation of this disorder. For example, brain wave activity, as measured by electroencephalogram (EEG) and eventrelated potential (ERP), has been studied as an endophenotype for both alcohol dependence and schizophrenia. It is possible that genes act more directly on an endophenotype, as compared with a diagnostic classification, and, therefore, the study of endophenotypes may more efficiently lead to the identification of genes. All of these factors considerably complicate efforts to identify the genes involved in alcohol dependence and to understand the contribution of any specific gene that is identified. A number of genetic strategies have been used in the study of alcohol dependence. These include both linkage and association studies. Linkage studies involve the ascertainment of families with multiple affected individuals; genotyping of segments of DNA that exhibit variation, called polymorphic markers, is often used to detect chromosomal regions in which affected individuals within a family demonstrate increased sharing of a particular marker allele, suggesting that there may be a gene nearby involved in the disorder. Association studies can use either families or unrelated controls; they test the association between a particular allele at a candidate gene and a specific outcome across families. Association methods typically can detect significant effects over much smaller physical distances as compared with linkage studies. For a more extensive review of the methods used in genetic studies, see Dick and Foroud (2003). Here we review the evidence for candidate genes that have been implicated in genetic studies of alcohol dependence and related phenotypes, such as quantitative indices of alcohol use, and endophenotypes, such as EEG. This review is not meant to be exhaustive in reporting all candidate genes, but, rather, covers in detail many of the candidate genes currently thought to be most promising. From the Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana. Received for publication September 30, 2002; accepted February 12, 2003. Supported by NIH Grants AA13358, AA00285, and AA07611. Reprint requests: Tatiana Foroud, PhD, Department of Medical and Molecular Genetics, Indiana University School of Medicine, 975 W. Walnut St., IB-130, Indianapolis, IN 46202-525; Fax: 317-274-2387; E-mail: tforoud@iupui.edu. Copyright

Pubertal Timing and Substance Use: Associations between and within Families across Late Adolescence.

In the present study, between-family analyses of data from adolescent twin girls offer new evidence that early menarche is associated with earlier initiation and greater frequency of smoking and drinking. The role of personality factors and peer relationships in that association was investigated, and little support was found for their involvement. Novel within-family analyses replicating associations of substance use with pubertal timing in contrasts of twin sisters selected for extreme discordance for age at menarche are reported. Within-family replications demonstrated that the association of pubertal timing with substance use cannot be explained solely by between-family confounds. Within-family analyses demonstrated contextual modulation of the influence of pubertal timing: Its impact on drinking frequency is apparent only among girls in urban settings. Sibling comparisons illustrate a promising analytic tool for studying diverse developmental outcomes.

Parental Monitoring Moderates the Importance of Genetic and Environmental Influences on Adolescent Smoking

Although there is a substantial literature on the role of parenting in adolescent substance use, most parenting effects have been small in magnitude and studied outside the context of genetically informative designs, raising debate and controversy about the influence that parents have on their children (D. C. Rowe, 1994). Using a genetically informative twin-family design, the authors studied the role of parental monitoring on adolescent smoking at age 14. Although monitoring had only small main effects, consistent with the literature, there were dramatic moderation effects associated with parental monitoring: At high levels of parental monitoring, environmental influences were predominant in the etiology of adolescent smoking, but at low levels of parental monitoring, genetic influences assumed far greater importance. These analyses demonstrate that the etiology of adolescent smoking varies dramatically as a function of parenting.

Association of the κ-opioid system with alcohol dependence

Opioid receptors and their endogenous peptide ligands play important roles in the reward and reinforcement of drugs such as heroin, cocaine, and alcohol. The binding of dynorphins to the κ-opioid receptor has been shown to produce aversive states, which may prevent the development of reinforcement. We genotyped SNPs throughout OPRK1, encoding the κ-opioid receptor, and PDYN, which encodes its ligand prodynorphin, in a group of 1860 European American individuals from 219 multiplex alcohol dependent families. Family-based analyses demonstrated associations between alcohol dependence and multiple SNPs in the promoter and 3′ end of PDYN, and in intron 2 of OPRK1. Haplotype analyses further supported the association of PDYN. Thus, variations in the genes encoding both the κ-opioid receptor and its ligand, OPRK1 and PDYN, are associated with the risk for alcohol dependence; this makes biological sense as variations in either should affect signaling through the κ-opioid system.

Gene-Environment Interaction in Psychological Traits and Disorders

There has been an explosion of interest in studying gene-environment interactions (GxE) as they relate to the development of psychopathology. In this article, I review different methodologies to study gene-environment interaction, providing an overview of methods from animal and human studies and illustrations of gene-environment interactions detected using these various methodologies. Gene-environment interaction studies that examine genetic influences as modeled latently (e.g., from family, twin, and adoption studies) are covered, as well as studies of measured genotypes. Importantly, the explosion of interest in gene-environment interactions has raised a number of challenges, including difficulties with differentiating various types of interactions, power, and the scaling of environmental measures, which have profound implications for detecting gene-environment interactions. Taking research on gene-environment interactions to the next level will necessitate close collaborations between psychologists and geneticists so that each field can take advantage of the knowledge base of the other.