ReviewHuman genetics2012
A common genetic network underlies substance use disorders and disruptive or externalizing disorders.
Review in Human genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis 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
36 citing papers in PubMed, 1 synthesis or guideline pooled it, 60 citations in OpenAlex.
- Identification of Novel, Replicable Genetic Risk Loci for Suicidal Thoughts and Behaviors Among US Military Veterans.JAMA psychiatry · 2023Pooled it
- Evaluation of epistasis detection methods for quantitative phenotypes.Bioinformatics (Oxford, England) · 2026Article
- Polygenic Risk for Substance Use Disorders as Predictors of Substance Use Initiation Among African American Youth.Journal of studies on alcohol and drugs · 2025Article
- Phasic dopamine release in two different rat models of attention-deficit/hyperactivity disorder: Spontaneously hypertensive rats (SHR) versus Lphn3 knockout rats.Neuroscience · 2025Article
- Differential etiologic associations of heroin use and prescription opioid misuse with psychopathology.Journal of psychopathology and clinical science · 2024Article
- Physical inactivity during adolescence heightens risk for cannabis use disorder in adulthood.Experimental and clinical psychopharmacology · 2023Article
- Associated and intermediate factors between genetic variants of the dopaminergic D2 receptor gene and harmful alcohol use in young adults.Addiction biology · 2023Article
- Family history of substance use disorder and parental impulsivity are differentially associated with neural responses during risky decision-making.Frontiers in neuroimaging · 2023Article
- Zika virus-induced TNF-α signaling dysregulates expression of neurologic genes associated with psychiatric disorders.Journal of neuroinflammation · 2022Article
- An assessment of executive function in two different rat models of attention-deficit hyperactivity disorder: Spontaneously hypertensive versus Lphn3 knockout rats.Genes, brain, and behavior · 2021Article
- A novel role for the ADHD risk gene latrophilin-3 in learning and memory in Lphn3 knockout rats.Neurobiology of disease · 2021Article
- Article
- Investigating causality between liability to ADHD and substance use, and liability to substance use and ADHD risk, using Mendelian randomization.Addiction biology · 2021Article
- Gray matter volume and microRNA levels in patients with attention-deficit/hyperactivity disorder.European archives of psychiatry and clinical neuroscience · 2020Article
- Attention-deficit/hyperactivity disorder and lifetime cannabis use: genetic overlap and causality.Molecular psychiatry · 2020Article
- Cross-species models of attention-deficit/hyperactivity disorder and autism spectrum disorder: lessons from CNTNAP2, ADGRL3, and PARK2.Psychiatric genetics · 2019Review
- ADGRL3 (LPHN3) variants predict substance use disorder.Translational psychiatry · 2019Article
- Article
- Sparse multiple factor analysis to integrate genetic data, neuroimaging features, and attention-deficit/hyperactivity disorder domains.International journal of methods in psychiatric research · 2018Article
- Blood-Bourne MicroRNA Biomarker Evaluation in Attention-Deficit/Hyperactivity Disorder of Han Chinese Individuals: An Exploratory Study.Frontiers in psychiatry · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 2 countries.
Funding
Abstract
Here we summarize evidence obtained by our group during the last two decades, and contrasted it with a review of related data from the available literature to show that behavioral syndromes involving attention deficit/hyperactivity disorder (ADHD), externalizing disorders, and substance-use disorder (SUD) share similar signs and symptoms (i.e., have a biological basis as common syndromes), physiopathological and psychopathological mechanisms, and genetic factors. Furthermore, we will show that the same genetic variants harbored in different genes are associated with different syndromes and that non-linear interactions between genetic variants (epistasis) best explain phenotype severity, long-term outcome, and response to treatment. These data have been depicted in our studies by extended pedigrees, where ADHD, externalizing symptoms, and SUD segregate and co-segregate. Finally, we applied here a new formal network analysis using the set of significantly replicated genes that have been shown to be either associated and/or linked to ADHD, disruptive behaviors, and SUD in order to detect significantly enriched gene categories for protein and genetic interactions, pathways, co-expression, co-localization, and protein domain similarity. We found that networks related to pathways involved in axon guidance, regulation of synaptic transmission, and regulation of transmission of nerve impulse are overrepresented. In summary, we provide compiled evidence of complex networks of genotypes underlying a wide phenotype that involves SUD and externalizing disorders.
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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.