Donna Walther

Polysubstance abuse-vulnerability genes: genome scans for association, using 1,004 subjects and 1,494 single-nucleotide polymorphisms.

Strong genetic contributions to drug abuse vulnerability are well documented, but few chromosomal locations for human drug-abuse vulnerability alleles have been confirmed. We now identify chromosomal markers whose alleles distinguish drug abusers from control individuals in each of two samples, on the basis of pooled-sample microarray and association analyses. Reproducibly positive chromosomal regions defined by these markers in conjunction with previous results were especially unlikely to have been identified by chance. Positive markers identify the alcohol dehydrogenase (ADH) locus, flank the brain-derived neurotropic factor (BDNF) locus, and mark seven other regions previously linked to vulnerability to nicotine or alcohol abuse. These data support polygenic contributions of common allelic variants to polysubstance abuse vulnerability.

Human cannabinoid receptor 1: 5′ exons, candidate regulatory regions, polymorphisms, haplotypes and association with polysubstance abuse

A number of lines of evidence make the gene that encodes the G-protein-coupled CB1/Cnr1 receptor a strong candidate to harbor variants that might contribute to individual differences in human addiction vulnerability. The CB1/Cnr1 receptor is the major brain site at which cannabinoid marijuana constituents are psychoactive as well as the principal brain receptor for endogenous anandamide ligands. It is densely expressed in brain circuits likely to be important for both the reward and mnemonic processes important for addiction. Altered drug effects in CB1/Cnr1 knockout mice and initial association studies also make variants at the CB1/Cnr1 locus candidates for roles in human vulnerabilities to addictions. However, many features of this genes structure, regulation and variation remain poorly defined. This poor definition has limited the ability of previous association studies to adequately sample variation at this locus. We now report improved definition of the human CB1/Cnr1 locus and its variants. Novel exons 1–3, splice variant and candidate promoter region sequences add to the richness of the CB1/Cnr1 locus. Candidate promoter region sequences confer reporter gene expression in cells that express CB1/Cnr1. Common polymorphisms reveal patterns of linkage disequilibrium in European- and in African-American individuals. A 5′ CB1/Cnr1 ‘TAG’ haplotype displays significant allelic frequency differences between substance abusers and controls in European-American, African-American and Japanese samples. Post-mortem brain samples of heterozygous individuals contain less mRNA transcribed from the TAG alleles than from other CB1/Cnr1 haplotypes. CB1/ Cnr1 genomic variation thus appears to play roles in human addiction vulnerability.

Human Brain Derived Neurotrophic Factor (BDNF) Genes, Splicing Patterns, and Assessments of Associations with Substance Abuse and Parkinson's Disease

Potential roles for variants in the human BDNF gene in human brain disorders are supported by findings that include: (a) influences that this trophic factor can exert on important neurons, brain regions, and neurotransmitter systems, (b) changes in BDNF expression that follow altered neuronal activity and drug treatments, and (c) linkages or associations between genetic markers in or near BDNF and human traits and disorders that include depression, schizophrenia, addictions, and Parkinsons disease. We now report assembly of more than 70 kb of BDNF genomic sequence, delineation of 7 noncoding and 1 coding human BDNF exons, elucidation of BDNF transcripts that are initiated at several alternative promoters, identification of BDNF mRNA splicing patterns, elucidation of novel sequences that could contribute to activity‐dependent BDNF mRNA transcription, targeting and/or translation, elucidation of tissue‐specific and brain‐region‐specific use of the alternative human BDNF promoters and splicing patterns, identification of single nucleotide polymorphism (SNP), and simple sequence length polymorphism (SSLP) BDNF genomic variants and identification of patterns of restricted haplotype diversity at the BDNF locus. We also identified type 2 BDNF‐locus transcripts that are coded by a novel gene that is overlapped with type 1 BDNF gene and transcribed in reverse orientation with several alternative splicing isoforms. Association studies of BDNF variants reveal no associations with Parkinsons disease. Comparisons between substance abusers and controls reveal modest associations. These findings increase interest in this diverse human gene. Published 2005 Wiley‐Liss, Inc.

Molecular genetics of nicotine dependence and abstinence: whole genome association using 520,000 SNPs

BackgroundClassical genetic studies indicate that nicotine dependence is a substantially heritable complex disorder. Genetic vulnerabilities to nicotine dependence largely overlap with genetic vulnerabilities to dependence on other addictive substances. Successful abstinence from nicotine displays substantial heritable components as well. Some of the heritability for the ability to quit smoking appears to overlap with the genetics of nicotine dependence and some does not. We now report genome wide association studies of nicotine dependent individuals who were successful in abstaining from cigarette smoking, nicotine dependent individuals who were not successful in abstaining and ethnically-matched control subjects free from substantial lifetime use of any addictive substance.ResultsThese data, and their comparison with data that we have previously obtained from comparisons of four other substance dependent vs control samples support two main ideas: 1) Single nucleotide polymorphisms (SNPs) whose allele frequencies distinguish nicotine-dependent from control individuals identify a set of genes that overlaps significantly with the set of genes that contain markers whose allelic frequencies distinguish the four other substance dependent vs control groups (p < 0.018). 2) SNPs whose allelic frequencies distinguish successful vs unsuccessful abstainers cluster in small genomic regions in ways that are highly unlikely to be due to chance (Monte Carlo p < 0.00001).ConclusionThese clustered SNPs nominate candidate genes for successful abstinence from smoking that are implicated in interesting functions: cell adhesion, enzymes, transcriptional regulators, neurotransmitters and receptors and regulation of DNA, RNA and proteins. As these observations are replicated, they will provide an increasingly-strong basis for understanding mechanisms of successful abstinence, for identifying individuals more or less likely to succeed in smoking cessation efforts and for tailoring therapies so that genotypes can help match smokers with the treatments that are most likely to benefit them.

Pooled association genome scanning for alcohol dependence using 104,268 SNPs: Validation and use to identify alcoholism vulnerability loci in unrelated individuals from the collaborative study on the genetics of alcoholism

Association genome scanning can identify markers for the allelic variants that contribute to vulnerability to complex disorders, including alcohol dependence. To improve the power and feasibility of this approach, we report validation of “100k” microarray‐based allelic frequency assessments in pooled DNA samples. We then use this approach with unrelated alcohol‐dependent versus control individuals sampled from pedigrees collected by the Collaborative Study on the Genetics of Alcoholism (COGA). Allele frequency differences between alcohol‐dependent and control individuals are assessed in quadruplicate at 104,268 autosomal SNPs in pooled samples. One hundred eighty‐eight SNPs provide (1) the largest allele frequency differences between dependent versus control individuals; (2) t values ≥ 3 for these differences; and (3) clustering, so that 51 relatively small chromosomal regions contain at least three SNPs that satisfy criteria 1 and 2 above (Monte Carlo P = 0.00034). These positive SNP clusters nominate interesting genes whose products are implicated in cellular signaling, gene regulation, development, “cell adhesion,” and Mendelian disorders. The results converge with linkage and association results for alcohol and other addictive phenotypes. The data support polygenic contributions to vulnerability to alcohol dependence. These SNPs provide new tools to aid the understanding, prevention, and treatment of alcohol abuse and dependence.

Addiction molecular genetics: 639,401 SNP whole genome association identifies many “cell adhesion” genes†‡

Addictions are substantially heritable complex disorders. We now report whole genome association studies that identify 89 genes likely to contain variants that contribute to addiction vulnerability, using previously‐ and newly‐validated microarray based pooling assays. Each gene contains clustered single nucleotide polymorphisms (SNPs) that display significant allele frequency differences between abusers and controls in each of the two samples studied with 639,401 SNP arrays and confirmatory SNPs from each of two other abuser/control samples. These genes are implicated in interesting functions, including “cell adhesion” processes that help to establish and maintain neuronal connections of special relevance to addictions memory‐like features.

CHRNA3 rs1051730 genotype and short-term smoking cessation.

INTRODUCTION The rs1051730 genetic variant within the CHRNA5-A3-B4 gene cluster is associated with heaviness of smoking and has recently been reported to be associated with likelihood of stopping smoking. We investigated the potential association of rs1051730 genotype with reduced likelihood of smoking cessation in 2 cohorts of treatment-seeking smokers in primary care in the United Kingdom. METHODS Data were drawn from 2 clinical trials on which DNA was available. One sample was a randomized placebo-controlled trial of nicotine transdermal patch and the other sample an open-label trial where all participants received nicotine transdermal patch. Smoking status was biochemically verified. Logistic regression was used to assess evidence for association in each sample, and data were combined within a meta-analysis. RESULTS There was evidence of association of rs1051730 genotype with short-term (4-week) cessation in our open-label trial sample but not our placebo-controlled trial sample. When combined in a meta-analysis, this effect remained. There was no evidence of association at later follow-up intervals. Adjustment for cigarette consumption and tobacco dependence did not alter these results substantially. CONCLUSIONS Our data, taken together with previous recent studies, provide some support for a weak association between this variant and short-term smoking cessation in treatment-seeking smokers, which does not seem to operate only among those receiving nicotine replacement therapy. Moreover, the rs1051730 variant may not merely operate as a marker for dependence or heaviness of smoking.

Genome-Wide Association for Nicotine Dependence and Smoking Cessation Success in NIH Research Volunteers

Phenotypes related to both nicotine dependence and ability to successfully quit smoking display substantial heritabilities in classical and molecular genetic studies. Twin studies suggest that some genetic components for dependence overlap with genetic components of ability to quit, but that many components do not overlap. Initial genome-wide association (GWA) studies have demonstrated haplotypes that distinguish nicotine-dependent from nondependent smokers. These haplotypes overlap partially with those that distinguish individuals who successfully quit smoking from those who were not able to quit smoking in clinical trials for smoking cessation. We now report novel genome-wide association results from National Institutes of Health research volunteers who reported smoking histories, symptoms of nicotine dependence, and ability to successfully quit smoking outside the context of a clinical trial. These results buttress data from several prior GWA studies. The data from these volunteers support the idea that previously reported studies of genes associated with smoking cessation success in clinical trial participants may also apply to smokers who are more or less able to initiate and sustain abstinence outside of clinical trial settings.

Genome-wide association for smoking cessation success: participants in a trial with adjunctive denicotinized cigarettes.

The ability to quit smoking successfully displays substantial heritability in classical and molecular genetic studies. Twin studies suggest that some of the genetics for the ability to quit overlap with genetic components of nicotine dependence, but many do not. Genome-wide association (GWA) studies have demonstrated haplotypes that distinguish successful quitters from individuals who were not able to quit smoking in: i) clinical trials that employed nicotine replacement; ii) clinical trials that employed bupropion; and iii) community quitter samples. We now report novel GWA results from participants in a clinical trial that document the efficacy of adjunctive use of denicotinized cigarettes. These results buttress data from our prior GWA studies of smoking cessation. They suggest that ability to change smoking behavior using denicotinized cigarettes shares substantial underlying genetics with the ability to change this behavior in community settings or in response to treatments with nicotine replacement or bupropion.

Genome Wide Association for Addiction: Replicated Results and Comparisons of Two Analytic Approaches

Background Vulnerabilities to dependence on addictive substances are substantially heritable complex disorders whose underlying genetic architecture is likely to be polygenic, with modest contributions from variants in many individual genes. “Nontemplate” genome wide association (GWA) approaches can identity groups of chromosomal regions and genes that, taken together, are much more likely to contain allelic variants that alter vulnerability to substance dependence than expected by chance. Methodology/Principal Findings We report pooled “nontemplate” genome-wide association studies of two independent samples of substance dependent vs control research volunteers (n = 1620), one European-American and the other African-American using 1 million SNP (single nucleotide polymorphism) Affymetrix genotyping arrays. We assess convergence between results from these two samples using two related methods that seek clustering of nominally-positive results and assess significance levels with Monte Carlo and permutation approaches. Both “converge then cluster” and “cluster then converge” analyses document convergence between the results obtained from these two independent datasets in ways that are virtually never found by chance. The genes identified in this fashion are also identified by individually-genotyped dbGAP data that compare allele frequencies in cocaine dependent vs control individuals. Conclusions/Significance These overlapping results identify small chromosomal regions that are also identified by genome wide data from studies of other relevant samples to extents much greater than chance. These chromosomal regions contain more genes related to “cell adhesion” processes than expected by chance. They also contain a number of genes that encode potential targets for anti-addiction pharmacotherapeutics. “Nontemplate” GWA approaches that seek chromosomal regions in which nominally-positive associations are found in multiple independent samples are likely to complement classical, “template” GWA approaches in which “genome wide” levels of significance are sought for SNP data from single case vs control comparisons.