Manualisierte, bedarfsorientierte Psychoedukation in der Akutbehandlung Alkoholabhängiger zur Verbesserung der Inanspruchnahme weiterer Hilfen

Entscheidend für Erfolg und Kosteneffizienz der Entzugsbehandlung Alkoholabhängiger ist die Adhärenz beim Übergang von der Akut- in die Postakutbehandlung. Eine nur auf die somatische Komplikation beschränkte Behandlung (körperlicher Entzug) mit unzureichender Therapie der Grunderkrankung führt zu unbefriedigenden Ergebnissen mit hohen Rückfallraten und hoher Belastung für das Gesundheitssystem. Im Rahmen einer prospektiven, offenen, randomisierten, kontrollierten und multizentrischen klinischen Studie wird in einer Stichprobe von insgesamt 300 Patienten geprüft, ob eine kostengünstig durchführbare manualisierte, bedarfsorientierte Psychoedukation mit motivationalen Elementen während der stationären Entzugsbehandlung die Wahrscheinlichkeit zur Inanspruchnahme einer Postakutbehandlung steigern kann

Genetic Contribution to Alcohol Dependence: Investigation of a Heterogeneous German Sample of Individuals with Alcohol Dependence, Chronic Alcoholic Pancreatitis, and Alcohol-Related Cirrhosis

The present study investigated the genetic contribution to alcohol dependence (AD) using genome-wide association data from three German samples. These comprised patients with: (i) AD; (ii) chronic alcoholic pancreatitis (ACP); and (iii) alcohol-related liver cirrhosis (ALC). Single marker, gene-based, and pathway analyses were conducted. A significant association was detected for the ADH1B locus in a gene-based approach (puncorrected = 1.2 × 10−6; pcorrected = 0.020). This was driven by the AD subsample. No association with ADH1B was found in the combined ACP + ALC sample. On first inspection, this seems surprising, since ADH1B is a robustly replicated risk gene for AD and may therefore be expected to be associated also with subgroups of AD patients. The negative finding in the ACP + ALC sample, however, may reflect genetic stratification as well as random fluctuation of allele frequencies in the cases and controls, demonstrating the importance of large samples in which the phenotype is well assessed

Genome-wide Association Study of Alcohol Dependence

Identification of genes contributing to alcohol dependence will improve our understanding of the mechanisms underlying this disorder

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

Peer reviewe

A large-scale genome-wide association study meta-analysis of cannabis use disorder

Summary Background Variation in liability to cannabis use disorder has a strong genetic component (estimated twin and family heritability about 50–70%) and is associated with negative outcomes, including increased risk of psychopathology. The aim of the study was to conduct a large genome-wide association study (GWAS) to identify novel genetic variants associated with cannabis use disorder. Methods To conduct this GWAS meta-analysis of cannabis use disorder and identify associations with genetic loci, we used samples from the Psychiatric Genomics Consortium Substance Use Disorders working group, iPSYCH, and deCODE (20 916 case samples, 363 116 control samples in total), contrasting cannabis use disorder cases with controls. To examine the genetic overlap between cannabis use disorder and 22 traits of interest (chosen because of previously published phenotypic correlations [eg, psychiatric disorders] or hypothesised associations [eg, chronotype] with cannabis use disorder), we used linkage disequilibrium score regression to calculate genetic correlations. Findings We identified two genome-wide significant loci: a novel chromosome 7 locus (FOXP2, lead single-nucleotide polymorphism [SNP] rs7783012; odds ratio [OR] 1·11, 95% CI 1·07–1·15, p=1·84 × 10−9) and the previously identified chromosome 8 locus (near CHRNA2 and EPHX2, lead SNP rs4732724; OR 0·89, 95% CI 0·86–0·93, p=6·46 × 10−9). Cannabis use disorder and cannabis use were genetically correlated (rg 0·50, p=1·50 × 10−21), but they showed significantly different genetic correlations with 12 of the 22 traits we tested, suggesting at least partially different genetic underpinnings of cannabis use and cannabis use disorder. Cannabis use disorder was positively genetically correlated with other psychopathology, including ADHD, major depression, and schizophrenia. Interpretation These findings support the theory that cannabis use disorder has shared genetic liability with other psychopathology, and there is a distinction between genetic liability to cannabis use and cannabis use disorder. Funding National Institute of Mental Health; National Institute on Alcohol Abuse and Alcoholism; National Institute on Drug Abuse; Center for Genomics and Personalized Medicine and the Centre for Integrative Sequencing; The European Commission, Horizon 2020; National Institute of Child Health and Human Development; Health Research Council of New Zealand; National Institute on Aging; Wellcome Trust Case Control Consortium; UK Research and Innovation Medical Research Council (UKRI MRC); The Brain & Behavior Research Foundation; National Institute on Deafness and Other Communication Disorders; Substance Abuse and Mental Health Services Administration (SAMHSA); National Institute of Biomedical Imaging and Bioengineering; National Health and Medical Research Council (NHMRC) Australia; Tobacco-Related Disease Research Program of the University of California; Families for Borderline Personality Disorder Research (Beth and Rob Elliott) 2018 NARSAD Young Investigator Grant; The National Child Health Research Foundation (Cure Kids); The Canterbury Medical Research Foundation; The New Zealand Lottery Grants Board; The University of Otago; The Carney Centre for Pharmacogenomics; The James Hume Bequest Fund; National Institutes of Health: Genes, Environment and Health Initiative; National Institutes of Health; National Cancer Institute; The William T Grant Foundation; Australian Research Council; The Virginia Tobacco Settlement Foundation; The VISN 1 and VISN 4 Mental Illness Research, Education, and Clinical Centers of the US Department of Veterans Affairs; The 5th Framework Programme (FP-5) GenomEUtwin Project; The Lundbeck Foundation; NIH-funded Shared Instrumentation Grant S10RR025141; Clinical Translational Sciences Award grants; National Institute of Neurological Disorders and Stroke; National Heart, Lung, and Blood Institute; National Institute of General Medical Sciences.Peer reviewe

Shared genetic risk between eating disorder- and substance-use-related phenotypes:Evidence from genome-wide association studies

First published: 16 February 202

Transancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders

Liability to alcohol dependence (AD) is heritable, but little is known about its complex polygenic architecture or its genetic relationship with other disorders. To discover loci associated with AD and characterize the relationship between AD and other psychiatric and behavioral outcomes, we carried out the largest genome-wide association study to date of DSM-IV-diagnosed AD. Genome-wide data on 14,904 individuals with AD and 37,944 controls from 28 case-control and family-based studies were meta-analyzed, stratified by genetic ancestry (European, n = 46,568; African, n = 6,280). Independent, genome-wide significant effects of different ADH1B variants were identified in European (rs1229984; P = 9.8 x 10(-13)) and African ancestries (rs2066702; P = 2.2 x 10(-9)). Significant genetic correlations were observed with 17 phenotypes, including schizophrenia, attention deficit-hyperactivity disorder, depression, and use of cigarettes and cannabis. The genetic underpinnings of AD only partially overlap with those for alcohol consumption, underscoring the genetic distinction between pathological and nonpathological drinking behaviors.Peer reviewe

Smart Coping with Stress: Biofeedback via Smart Phone for Stress Reduction and Relapse Prevention in Alcohol Dependent Subjects

The paper presents the design plan for a mobile solution aimed at stress reduction. The solution will be developed by a team of medics, psychotherapists, HCI experts and knowledge engineers and will provide continuous data sensing and feedback about personal stress levels. At the same time contextual and activity information will be captured. Stress management is particularly important for high-risk populations such as former alcoholics to reduce the risk of relapse; they will therefore test and validate the solution. By combining and correlating psycho-physiological data with data on activities (e.g. walking or social interactions) and environment/location (e.g. ambient light) it is expected that sources of stress can be recognised which in turn will allow individuals to either avoid stress-inducing factors or develop appropriate coping strategies. To make sense of the data captured, it is proposed to use intelligent algorithms to recognise patterns in the data streams and semantic technologies to interpret the text messages of users. People with other stress-related health problems such as burn-out, smoking, depression or sleeping problems will also benefit from our research

Recovery from alcohol dependence: Do smoking indicators predict abstinence?

Background and ObjectivesThere is inconsistent evidence about the potential influence of smoking on recovery from alcohol dependence. Our study aimed at assessing the impact of smoking-behavior on relapse during a 12 months follow-up period following a detoxification in patients with Alcohol Use Disorder (AUD). MethodsThree hundred Patients with AUD (74.9% smoking) were recruited from two inpatient detoxification units in psychiatric hospitals in Germany and their alcohol consumption was prospectively followed for 1 year. Data on different indicators of smoking behavior was gathered. Cox regression model was used to evaluate potential risk factors on time to relapse of alcohol consumption. Two hundred seventy-nine participants (n=279) were included in the final analysis. ResultsSmoking increased the risk for alcohol relapse (hazard ratio=3.962, 95% CI 1.582-9.921). However, this increased risk is slightly reduced with higher numbers of daily consumed cigarettes (hazard ratio per cigarette=.986, 95% CI .976-.995). ConclusionSmoking reduced the probability of maintaining alcohol abstinence significantly, whereas higher number of cigarettes smoked daily diminished the increased risk of alcohol relapse in alcohol-dependent patients. Scientific SignificanceCoordinated psychiatric and substance abuse interventions for different subgroups of patients with AUD in the post-acute treatment phase are necessary. Individualized treatment planning is especially important in smoking patients with AUD who are vulnerable for a relapse to alcohol drinking and for somatic complications. Our findings might support individualized treatment plans. (Am J Addict 2017;26:366-373