ReviewDialogues in clinical neuroscience2010
Genetics of drug dependence.
Review in Dialogues in clinical neuroscience, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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
14 citing papers in PubMed.
- The association of genetic polymorphisms within the dopaminergic system with nicotine dependence: A narrative review.Heliyon · 2024Review
- Reward Deficiency Syndrome (RDS) Surprisingly Is Evolutionary and Found Everywhere: Is It "Blowin' in the Wind"?Journal of personalized medicine · 2022Article
- Prospects for finding the mechanisms of sex differences in addiction with human and model organism genetic analysis.Genes, brain, and behavior · 2020Review
- Altered Actin Filament Dynamics in theThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2019Article
- Construction and Analysis of Protein-Protein Interaction Network of Heroin Use Disorder.Scientific reports · 2019Article
- Sex-specific linkage scans in opioid dependence.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2017Article
- No association betweenMolecular biology research communications · 2016Article
- Hnrnph1 Is A Quantitative Trait Gene for Methamphetamine Sensitivity.PLoS genetics · 2015Article
- Association betweenMolecular biology research communications · 2015Article
- Physiology, signaling, and pharmacology of opioid receptors and their ligands in the gastrointestinal tract: current concepts and future perspectives.Journal of gastroenterology · 2014Review
- DSM-5 criteria for substance use disorders: recommendations and rationale.The American journal of psychiatry · 2013Review
- Genetic markers of a Munc13 protein family member, BAIAP3, are gender specifically associated with anxiety and benzodiazepine abuse in mice and humans.Molecular medicine (Cambridge, Mass.) · 2013Article
- Evidence for a genetic component for substance dependence in Native Americans.The American journal of psychiatry · 2013Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Drug-dependence disorders (we focus here on cocaine, opioid, and nicotine dependence) are genetically influenced. Risk genes have been located based primarily on genetic linkage studies, and identified primarily based on genetic association studies. In this article we review salient results from linkage, association, and genome-wide association study methodologies, and discuss future prospects for risk allele identification based on these, and on newer, methodologies. Although considerable progress has been made, it is likely that the application of more extensive sequencing than has previously been practical will be required to identify a fuller range of risk variants.
Indexed as
Identifiers
20373669PMC3181942What 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.