ArticleBehavior genetics2012
The aggregate effect of dopamine genes on dependence symptoms among cocaine users: cross-validation of a candidate system scoring approach.
Article in Behavior genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 20 citations in OpenAlex.
- Dopamine gene variants in opioid addiction: comparison of dependent patients, nondependent users and healthy controls.Pharmacogenomics · 2018Article
- Parent and peer influences on emerging adult substance use disorder: A genetically informed study.Development and psychopathology · 2017Article
- Association of genetic variations with pharmacokinetics and lipid-lowering response to atorvastatin in healthy Korean subjects.Drug design, development and therapy · 2017Article
- Predicting substance use in emerging adulthood: A genetically informed study of developmental transactions between impulsivity and family conflict.Development and psychopathology · 2016Article
- Passive rGE or Developmental Gene-Environment Cascade? An Investigation of the Role of Xenobiotic Metabolism Genes in the Association Between Smoke Exposure During Pregnancy and Child Birth Weight.Behavior genetics · 2016Article
- Dissecting ancestry genomic background in substance dependence genome-wide association studies.Pharmacogenomics · 2015Article
- Genetics of alcoholism.Current psychiatry reports · 2014Review
- Genetic Addiction Risk Score (GARS): molecular neurogenetic evidence for predisposition to Reward Deficiency Syndrome (RDS).Molecular neurobiology · 2014Article
- Gamma-aminobutyric acid system genes--no evidence for a role in alcohol use and abuse in a community-based sample.Alcoholism, clinical and experimental research · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors at 9 institutions in 2 countries.
Funding
Abstract
Genome-wide studies of psychiatric conditions frequently fail to explain a substantial proportion of variance, and replication of individual SNP effects is rare. We demonstrate a selective scoring approach, in which variants from several genes known to directly affect the dopamine system are considered concurrently to explain individual differences in cocaine dependence symptoms. 273 SNPs from eight dopamine-related genes were tested for association with cocaine dependence symptoms in an initial training sample. We identified a four-SNP score that accounted for 0.55% of the variance in a separate testing sample (p = 0.037). These findings suggest that (1) limiting investigated SNPs to those located in genes of theoretical importance improves the chances of identifying replicable effects by reducing statistical penalties for multiple testing, and (2) considering top-associated SNPs in the aggregate can reveal replicable effects that are too small to be identified at the level of individual SNPs.
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.