ArticleAddiction biology2015
Association of substance dependence phenotypes in the COGA sample.
Article in Addiction biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
30 citing papers in PubMed, 2 syntheses or guidelines pooled it, 50 citations in OpenAlex.
- Genomic risk for post-traumatic stress disorder in families densely affected with alcohol use disorders.Molecular psychiatry · 2023Pooled it
- 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.Behavior genetics · 2016Pooled it
- Generalized genetic liability to substance use disorders.The Journal of clinical investigation · 2024Review
- Clinical, genomic, and neurophysiological correlates of lifetime suicide attempts among individuals with alcohol dependence.Research square · 2024Article
- Predicting Alcohol-Related Memory Problems in Older Adults: A Machine Learning Study with Multi-Domain Features.Behavioral sciences (Basel, Switzerland) · 2023Article
- Methylation and expression quantitative trait locus rs6296 in the HTR1B gene is associated with susceptibility to opioid use disorder.Psychopharmacology · 2022Article
- A genome-wide association study of interhemispheric theta EEG coherence: implications for neural connectivity and alcohol use behavior.Molecular psychiatry · 2021Article
- The phenomics and genetics of addictive and affective comorbidity in opioid use disorder.Drug and alcohol dependence · 2021Review
- Dimensions of Craving Interact withBrain sciences · 2021Article
- Assessing the Role of Long Noncoding RNA in Nucleus Accumbens in Subjects With Alcohol Dependence.Alcoholism, clinical and experimental research · 2020Article
- Understanding the Interplay Between Health Disparities and Epigenomics.Frontiers in genetics · 2020Review
- Identifying factors associated with opioid cessation in a biracial sample using machine learning.Exploration of medicine · 2020Article
- Opioid Addiction, Genetic Susceptibility, and Medical Treatments: A Review.International journal of molecular sciences · 2019Review
- Ethanol activates immune response in lymphoblastoid cells.Alcohol (Fayetteville, N.Y.) · 2019Article
- Genome-wide association study identifies loci associated with liability to alcohol and drug dependence that is associated with variability in reward-related ventral striatum activity in African- and European-Americans.Genes, brain, and behavior · 2019Article
- Genome-wide association studies of alcohol dependence, DSM-IV criterion count and individual criteria.Genes, brain, and behavior · 2019Article
- Mechanisms of cortisol - Substance use development associations: Hypothesis generation through gene enrichment analysis.Neuroscience and biobehavioral reviews · 2018Review
- Genome-wide association study identifies a novel locus for cannabis dependence.Molecular psychiatry · 2018Article
- Human Genetics of Addiction: New Insights and Future Directions.Current psychiatry reports · 2018Review
- An endophenotype approach to the genetics of alcohol dependence: a genome wide association study of fast beta EEG in families of African ancestry.Molecular psychiatry · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
22 authors at 8 institutions in 1 country.
Funding
Abstract
Alcohol and drug use disorders are individually heritable (50%). Twin studies indicate that alcohol and substance use disorders share common genetic influences, and therefore may represent a more heritable form of addiction and thus be more powerful for genetic studies. This study utilized data from 2322 subjects from 118 European-American families in the Collaborative Study on the Genetics of Alcoholism sample to conduct genome-wide association analysis of a binary and a continuous index of general substance dependence liability. The binary phenotype (ANYDEP) was based on meeting lifetime criteria for any DSM-IV dependence on alcohol, cannabis, cocaine or opioids. The quantitative trait (QUANTDEP) was constructed from factor analysis based on endorsement across the seven DSM-IV criteria for each of the four substances. Heritability was estimated to be 54% for ANYDEP and 86% for QUANTDEP. One single-nucleotide polymorphism (SNP), rs2952621 in the uncharacterized gene LOC151121 on chromosome 2, was associated with ANYDEP (P = 1.8 × 10(-8) ), with support from surrounding imputed SNPs and replication in an independent sample [Study of Addiction: Genetics and Environment (SAGE); P = 0.02]. One SNP, rs2567261 in ARHGAP28 (Rho GTPase-activating protein 28), was associated with QUANTDEP (P = 3.8 × 10(-8) ), and supported by imputed SNPs in the region, but did not replicate in an independent sample (SAGE; P = 0.29). The results of this study provide evidence that there are common variants that contribute to the risk for a general liability to substance dependence.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.