ReviewAddiction biology2019
Beyond genome-wide significance: integrative approaches to the interpretation and extension of GWAS findings for alcohol use disorder.
Review in Addiction biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed.
- Transcription factors implicated in substance use disorder, from immediate early genes to altered gene expression.Brain research · 2026Review
- "General Addiction Liability" Revisited.Clinical psychological science : a journal of the Association for Psychological Science · 2025Article
- Exploring perceptions of genetic risk and the transmission of substance use disorders.Addiction science & clinical practice · 2024Article
- Activation/Inhibition of Gene Expression Caused by Alcohols: Relationship with the Viscoelastic Property of a DNA Molecule.Polymers · 2022Article
- FACTORS CONTRIBUTING TO THE ESCALATION OF ALCOHOL CONSUMPTION.Neuroscience and biobehavioral reviews · 2022Review
- Identifying a novel biological mechanism for alcohol addiction associated with circRNA networks acting as potential miRNA sponges.Addiction biology · 2021Article
- Genetics of substance use disorders in the era of big data.Nature reviews. Genetics · 2021Review
- Common genetic substrates of alcohol and substance use disorder severity revealed by pleiotropy detection against GWAS catalog in two populations.Addiction biology · 2021Article
- Polygenic and multi locus heritability of alcoholism: Novel therapeutic targets to overcome psychological deficits.Journal of systems and integrative neuroscience · 2020Article
- Flying Together:International journal of molecular sciences · 2020Review
- Functional validity, role, and implications of heavy alcohol consumption genetic loci.Science advances · 2020Article
- Effects of Common and Rare Chromosome 4 GABAergic Gene Variation on Alcohol Use and Antisocial Behavior.Journal of studies on alcohol and drugs · 2019Article
- Genetics of alcohol use disorder: a review.Current opinion in psychology · 2019Review
- Studying alcohol use disorder using Drosophila melanogaster in the era of 'Big Data'.Behavioral and brain functions : BBF · 2019Review
- Bioinformatic and biological avenues for understanding alcohol use disorder.Alcohol (Fayetteville, N.Y.) · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Alcohol use disorder (AUD) is a heritable complex behavior. Due to the highly polygenic nature of AUD, identifying genetic variants that comprise this heritable variation has proved to be challenging. With the exception of functional variants in alcohol metabolizing genes (e.g. ADH1B and ALDH2), few other candidate loci have been confidently linked to AUD. Genome-wide association studies (GWAS) of AUD and other alcohol-related phenotypes have either produced few hits with genome-wide significance or have failed to replicate on further study. These issues reinforce the complex nature of the genetic underpinnings for AUD and suggest that both GWAS studies with larger samples and additional analysis approaches that better harness the nominally significant loci in existing GWAS are needed. Here, we review approaches of interest in the post-GWAS era, including in silico functional analyses; functional partitioning of single nucleotide polymorphism heritability; aggregation of signal into genes and gene networks; and validation of identified loci, genes and gene networks in postmortem brain tissue and across species. These integrative approaches hold promise to illuminate our understanding of the biological basis of AUD; however, we recognize that the main challenge continues to be the extremely polygenic nature of AUD, which necessitates large samples to identify multiple loci associated with AUD liability.
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Registered trials
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