The collaborative study on the genetics of alcoholism: Genetics.
paper
Primary
Public
- Authors
- Johnson, Emma C; Salvatore, Jessica E; Lai, Dongbing; Merikangas, Alison K; Nurnberger, John I; Tischfield, Jay A; Xuei, Xiaoling; Kamarajan, Chella; Wetherill, Leah; COGA Collaborators; Rice, John P; Kramer, John R; Kuperman, Samuel; Foroud, Tatiana; Slesinger, Paul A; Goate, Alison M; Porjesz, Bernice; Dick, Danielle M; Edenberg, Howard J; Agrawal, Arpana
- Year
- 2023
- Journal
- Genes, brain, and behavior
- PMID
- 37387240
- DOI
- 10.1111/gbb.12856
- PMCID
- PMC10550788
This review describes the genetic approaches and results from the family-based Collaborative Study on the Genetics of Alcoholism (COGA). COGA was designed during the linkage era to identify genes affecting the risk for alcohol use disorder (AUD) and related problems, and was among the first AUD-focused studies to subsequently adopt a genome-wide association (GWAS) approach. COGA's family-based structure, multimodal assessment with gold-standard clinical and neurophysiological data, and the availability of prospective longitudinal phenotyping continues to provide insights into the etiology of AUD and related disorders. These include investigations of genetic risk and trajectories of substance use and use disorders, phenome-wide association studies of loci of interest, and investigations of pleiotropy, social genomics, genetic nurture, and within-family comparisons. COGA is one of the few AUD genetics projects that includes a substantial number of participants of African ancestry. The sharing of data and biospecimens has been a cornerstone of the COGA project, and COGA is a key contributor to large-scale GWAS consortia. COGA's wealth of publicly available genetic and extensive phenotyping data continues to provide a unique and adaptable resource for our understanding of the genetic etiology of AUD and related traits.
Overview of genetically informed designs that have been used or are proposed for use in the COGA sample.
LLM interpretation
This figure is a conceptual diagram illustrating four genetically informed research designs (Panels A-D) used in the COGA sample. Panel A shows the workflow for creating polygenic risk scores from GWAS results, and Panel B depicts the PheWas approach for testing associations across multiple phenotypes (digestive, neurological, cardiovascular, and laboratory values). Panel C outlines the Mendelian Randomization process for comparing outcomes between effect and non-effect alleles, while Panel D displays family-based designs for studying assortative mating and within-sibling differences.
Graphical summary of three of the most important contributions to understanding the etiology of alcohol use disorders that have come, in part, from genetic analyses in COGA.
LLM interpretation
This figure is a graphical summary consisting of three horizontal panels, each pairing a set of icons with a descriptive text box. The panels outline key contributions to understanding alcohol use disorder etiology: the influence of genetic and environmental factors, the polygenic and multifactorial nature of the disorder, and the importance of diversity in genomic studies. Each section includes a list of corresponding PubMed IDs (PMIDs) as references for the stated findings.
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In this knowledge base
| Title | Year | PMID |
|---|---|---|
| Alcohol use disorder is associated with altered frontomedial phase-amplitude coupling strength during resting state. | 2026 | 41657495 |
External
| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| Alcohol use disorder is associated with altered frontomedial phase-amplitude coupling strength during resting state. | Richard CD et al. | — | 2026 | → |
| Multivariate genetic analyses of 2.2 million individuals reveal broad and substance-specific pathways of addiction risk. | Poore HE et al. | — | 2026 | → |
| Perceived partner substance use, genetic predispositions, and their associations with problematic alcohol use, emotional well-being, and relationship quality. | Cooke ME et al. | — | 2026 | → |
| ADHD and Differences in Brain Function as Measured by EEG: Cause or Effect? | Ahn K et al. | — | 2025 | → |
| Childhood Trauma and<i>APOEε4</i>are Associated with Adolescent Brain Function, Posttraumatic Stress, and Alcohol-related Outcomes | Neale ZE et al. | — | 2025 | — |
| Clinical, Genomic, and Neurophysiological Correlates of Lifetime Suicide Attempts among Individuals with an Alcohol Use Disorder. | Barr PB et al. | — | 2025 | → |
| Pleiotropic Effects of <i>Grm7</i>/<i>GRM7</i> in Shaping Neurodevelopmental Pathways and the Neural Substrate of Complex Behaviors and Disorders. | Gyetvai BM et al. | — | 2025 | → |
| Whole Genome Sequencing of Pedigrees With High Density of Substance Use and Psychiatric Disorders: A Meeting Report. | Hill SY et al. | — | 2025 | → |
| A Developmentally-Informative Genome-wide Association Study of Alcohol Use Frequency. | Thomas NS et al. | — | 2024 | → |
| Alcohol milestones and internalizing, externalizing, and executive function: longitudinal and polygenic score associations. | Paul SE et al. | — | 2024 | → |
| Another Swim in the Extensive Pool of Zebrafish Research. | Marrs JA et al. | — | 2024 | → |
| Associations between alcohol use disorder polygenic score and remission in participants from high-risk families and the Indiana Biobank. | Lai D et al. | — | 2024 | → |
| DNA Sequence Variations Affecting Serotonin Transporter Transcriptional Regulation and Activity: Do They Impact Alcohol Addiction? | Ferraguti G et al. | — | 2024 | → |
| Inter- and transgenerational heritability of preconception chronic stress or alcohol exposure: Translational outcomes in brain and behavior. | Rice RC et al. | — | 2024 | → |
| Polygenic risk for alcohol use disorder affects cellular responses to ethanol exposure in a human microglial cell model. | Li X et al. | — | 2024 | → |
| Collaborative study on the genetics of alcoholism: The strength of collaboration, team science, and longitudinal data. | Ehringer MA | — | 2023 | → |
| The collaborative study on the genetics of alcoholism: Genetics. | Johnson EC et al. | — | 2023 | → |