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Gyetvai BM, Vadasz C. Pleiotropic Effects of Grm7/ GRM7 in Shaping Neurodevelopmental Pathways and the Neural Substrate of Complex Behaviors and Disorders. Biomolecules 2025; 15:392. [PMID: 40149928 PMCID: PMC11940234 DOI: 10.3390/biom15030392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2025] [Revised: 02/08/2025] [Accepted: 02/10/2025] [Indexed: 03/29/2025] Open
Abstract
Natural gene variants of metabotropic glutamate receptor subtype 7 (Grm7), coding for mGluR7, affect individuals' alcohol-drinking preference. Psychopharmacological investigations have suggested that mGluR7 is also involved in responses to cocaine, morphine, and nicotine exposures. We review the pleiotropic effects of Grm7 and the principle of recombinant quantitative trait locus introgression (RQI), which led to the discovery of the first mammalian quantitative gene accounting for alcohol-drinking preference. Grm7/GRM7 can play important roles in mammalian ontogenesis, brain development, and predisposition to addiction. It is also involved in other behavioral phenotypes, including emotion, stress, motivated cognition, defensive behavior, and pain-related symptoms. This review identified pleiotropy and the modulation of neurobehavioral processes by variations in the gene Grm7/GRM7. Patterns of pleiotropic genes can form oligogenic architectures whosecombined additive and interaction effects can significantly predispose individuals to the expressions of disorders. Identifying and characterizing pleiotropic genes are necessary for understanding the expressions of complex traits. This requires tasks, such as discovering and identifying novel genetic elements of the genetic architecture, which are unsuitable for AI but require classical experimental genetics.
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Affiliation(s)
- Beatrix M. Gyetvai
- Laboratory of Neurobehavior Genetics, Nathan S. Kline Institute for Psychiatric Research, 140 Old Orangeburg Rd., Orangeburg, NY 10962, USA;
| | - Csaba Vadasz
- Laboratory of Neurobehavior Genetics, Nathan S. Kline Institute for Psychiatric Research, 140 Old Orangeburg Rd., Orangeburg, NY 10962, USA;
- Department of Psychiatry, New York University Langone Medical Center, New York, NY 10016, USA
- Kalymma, Stony Point, New York, NY 10980, USA
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Hill SY, Edenberg HJ, Corvin A, Thorgeirsson T, Below JE, Goldman D, Leal S, Almasy L, Cox NJ, Daly M, Neale B, Vrieze S, Zoghbi H. Whole Genome Sequencing of Pedigrees With High Density of Substance Use and Psychiatric Disorders: A Meeting Report. GENES, BRAIN, AND BEHAVIOR 2025; 24:e70017. [PMID: 39935334 PMCID: PMC11814537 DOI: 10.1111/gbb.70017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2024] [Revised: 12/09/2024] [Accepted: 01/26/2025] [Indexed: 02/13/2025]
Abstract
The National Institute of Drug Abuse convened a panel of scientists with expertise in substance use disorders (SUD) and genetic methodologies primarily to determine the feasibility of performing whole genome sequencing utilizing existing pedigree collections with a high density of SUD and psychiatric disorders. A major focus was on determining if there had been any successes in identifying genetic variants for complex traits in family-based designs. Such information could provide assurance that whole genome sequencing might provide significant pay-offs particularly in the pursuit of rare variants and copy number variants. An important goal was to discuss and evaluate optimal strategies for studying genetic variants in human samples. Specific topics were (a) to consider whether a smaller number of cases typically available in family studies versus the larger number available in biobanks can reveal unique information; (b) to identify potential gaps in information available in biobank data that might be supplemented with family data; (c) to consider the optimal SUD phenotypic definitions (e.g., quantity of use, problem-oriented) and data collection instruments (self-report or clinician administered) that are both practical and efficient to collect, and likely to provide important insights concerning prevention, intervention, and medication development. Conclusions reached by the panel included optimism about the successes that have occurred in the existing family studies ascertained to include densely affected pedigrees. Evaluation of methodologies led, overall, to a panel consensus that steps should be taken to utilize biobank collection in conjunction with family-based investigations for optimal variant discovery.
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Affiliation(s)
- Shirley Y. Hill
- Behavioral Genetics Research Program, Department of PsychiatryUniversity of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
| | - Howard J. Edenberg
- Department of Biochemistry and Molecular Biology, Department of Medical and Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
| | - Aiden Corvin
- Trinity Translational Medicine Institute, Department of PsychiatryTrinity College DublinDublinIreland
| | | | - Jennifer E. Below
- Vanderbilt Memory and Alzheimers CenterVanderbilt UniversityNashvilleTennesseeUSA
| | - David Goldman
- Laboratory of NeurogeneticsNational Institute on Alcoholism and Alcohol AbuseBethesdaMarylandUSA
| | - Suzanne Leal
- Sergievsky Center, Department of NeurologyColumbia UniversityNew YorkNew YorkUSA
| | - Laura Almasy
- Department of Genetics, Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Nancy J. Cox
- Vanderbilt Genetics InstituteVanderbilt UniversityNashvilleTennesseeUSA
| | - Mark Daly
- Program in Medical and Population GeneticsBroad InstituteBostonMassachusettsUSA
| | - Benjamin Neale
- Program in Medical and Population GeneticsBroad InstituteBostonMassachusettsUSA
| | - Scott Vrieze
- Department of PsychologyUniversity of MinnesotaMinneapolisMinnesotaUSA
| | - Huda Zoghbi
- Department of Pediatrics, Department of Molecular and Human Genetics, Department of Neurology and NeuroscienceBaylor College of Medicine, Howard Hughes Medical Institute, Jan and Dan Duncan Neurological Research InstituteHoustonTexasUSA
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Barr PB, Neale Z, Chatzinakos C, Schulman J, Mullins N, Zhang J, Chorlian DB, Kamarajan C, Kinreich S, Pandey AK, Pandey G, Saenz de Viteri S, Acion L, Bauer L, Bucholz KK, Chan G, Dick DM, Edenberg HJ, Foroud T, Goate A, Hesselbrock V, Johnson EC, Kramer JR, Lai D, Plawecki MH, Salvatore J, Wetherill L, Agrawal A, Porjesz B, Meyers JL. Clinical, Genomic, and Neurophysiological Correlates of Lifetime Suicide Attempts among Individuals with an Alcohol Use Disorder. Complex Psychiatry 2025; 11:1-11. [PMID: 40061584 PMCID: PMC11888779 DOI: 10.1159/000543222] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2024] [Accepted: 12/06/2024] [Indexed: 03/19/2025] Open
Abstract
Introduction Research has identified multiple risk factors associated with suicide attempt (SA) among individuals with psychiatric illness. However, there is limited research among those with an alcohol use disorder (AUD), despite their disproportionately higher rates of SA. Methods We examined lifetime SA in 4,068 individuals with an AUD from the Collaborative Study on the Genetics of Alcoholism (23% lifetime SA; 53% female; mean age: 38). We explored risk for lifetime SA across other clinical conditions ascertained from a clinical interview, polygenic scores for comorbid psychiatric problems, and neurocognitive functioning. Results Participants with an AUD who attempted suicide had greater rates of trauma exposure, major depressive disorder, post-traumatic stress disorder, other substance use disorders (SUDs), and suicidal ideation. Polygenic scores for SA, depression, and PTSD were associated with increased odds of reporting an SA (ORs = 1.22-1.44). Participants who reported an SA also had decreased right hemispheric frontal-parietal theta and decreased interhemispheric temporal-parietal alpha electroencephalogram resting-state coherences relative to those who did not, but differences were small. Conclusions Overall, individuals with an AUD who report lifetime SA experience greater levels of trauma, have more severe comorbidities, and carry increased polygenic risk for other psychiatric problems. Our results demonstrate the need to further investigate SAs in the presence of SUDs.
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Affiliation(s)
- Peter B. Barr
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
- VA New York Harbor Healthcare System, Brooklyn, NY, USA
- Institute for Genomics in Health (IGH), SUNY Downstate Health Sciences University, Brooklyn, NY, USA
- Department of Community Health Sciences, School of Public Health, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Zoe Neale
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
- VA New York Harbor Healthcare System, Brooklyn, NY, USA
- Institute for Genomics in Health (IGH), SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Chris Chatzinakos
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
- Institute for Genomics in Health (IGH), SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | | | - Niamh Mullins
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jian Zhang
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - David B. Chorlian
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Chella Kamarajan
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Sivan Kinreich
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Ashwini K. Pandey
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Gayathri Pandey
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | | | - Laura Acion
- Department of Psychiatry, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Lance Bauer
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Kathleen K. Bucholz
- Department of Psychiatry, School of Medicine, Washington University in St. Louis, St Louis, MO, USA
| | - Grace Chan
- Department of Psychiatry, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
- Department of Psychiatry, School of Medicine, University of Connecticut, Farmington, CT, USA
| | - Danielle M. Dick
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA
- Rutgers Addiction Research Center, Rutgers University, Piscataway, NJ, USA
| | - Howard J. Edenberg
- Department of Medical and Molecular Genetics, School of Medicine, Indiana University, Indianapolis, IN, USA
- Department of Biochemistry and Molecular Biology, School of Medicine, Indiana University, Indianapolis, IN, USA
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, School of Medicine, Indiana University, Indianapolis, IN, USA
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Alison Goate
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Victor Hesselbrock
- Department of Psychiatry, School of Medicine, University of Connecticut, Farmington, CT, USA
| | - Emma C. Johnson
- Department of Psychiatry, School of Medicine, Washington University in St. Louis, St Louis, MO, USA
| | - John R. Kramer
- Department of Psychiatry, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Dongbing Lai
- Department of Medical and Molecular Genetics, School of Medicine, Indiana University, Indianapolis, IN, USA
| | - Martin H. Plawecki
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Jessica Salvatore
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA
| | - Leah Wetherill
- Department of Medical and Molecular Genetics, School of Medicine, Indiana University, Indianapolis, IN, USA
| | - Arpana Agrawal
- Department of Psychiatry, School of Medicine, Washington University in St. Louis, St Louis, MO, USA
| | - Bernice Porjesz
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Jacquelyn L. Meyers
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
- Institute for Genomics in Health (IGH), SUNY Downstate Health Sciences University, Brooklyn, NY, USA
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Neale ZE, Bountress K, Sheerin C, Saenz de Viteri S, Cusack S, Chorlian D, Barr PB, Kaplan I, Pandey G, Osipenko KA, McCutcheon V, Kuo SIC, Cooke ME, Brislin SJ, Salvatore JE, Kamarajan C, Porjesz B, Amstadter AB, Meyers JL. Childhood trauma is associated with developmental trajectories of EEG coherence, alcohol-related outcomes, and PTSD symptoms. Psychol Med 2024; 54:1-14. [PMID: 39620481 PMCID: PMC11650155 DOI: 10.1017/s0033291724002599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Revised: 09/09/2024] [Accepted: 09/25/2024] [Indexed: 02/27/2025]
Abstract
BACKGROUND Associations between childhood trauma, neurodevelopment, alcohol use disorder (AUD), and posttraumatic stress disorder (PTSD) are understudied during adolescence. METHODS Using 1652 participants (51.75% female, baseline Mage = 14.3) from the Collaborative Study of the Genetics of Alcoholism, we employed latent growth curve models to (1) examine associations of childhood physical, sexual, and non-assaultive trauma (CPAT, CSAT, and CNAT) with repeated measures of alpha band EEG coherence (EEGc), and (2) assess whether EEGc trajectories were associated with AUD and PTSD symptoms. Sex-specific models accommodated sex differences in trauma exposure, AUD prevalence, and neural development. RESULTS In females, CSAT was associated with higher mean levels of EEGc in left frontocentral (LFC, ß = 0.13, p = 0.01) and interhemispheric prefrontal (PFI, ß = 0.16, p < 0.01) regions, but diminished growth in LFC (ß = -0.07, p = 0.02) and PFI (ß = -0.07, p = 0.02). In males, CPAT was associated with lower mean levels (ß = -0.17, p = 0.01) and increased growth (ß = 0.11, p = 0.01) of LFC EEGc. Slope of LFC EEGc was inversely associated with AUD symptoms in females (ß = -1.81, p = 0.01). Intercept of right frontocentral and PFI EEGc were associated with AUD symptoms in males, but in opposite directions. Significant associations between EEGc and PTSD symptoms were also observed in trauma-exposed individuals. CONCLUSIONS Childhood assaultive trauma is associated with changes in frontal alpha EEGc and subsequent AUD and PTSD symptoms, though patterns differ by sex and trauma type. EEGc findings may inform emerging treatments for PTSD and AUD.
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Affiliation(s)
- Zoe E. Neale
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Health Sciences University, Brooklyn, NY, USA
- VA New York Harbor Healthcare System, Brooklyn, NY, USA
| | - Kaitlin Bountress
- Department of Psychiatry, Virginia Commonwealth University, Virginia Institute for Psychiatric and Behavior Genetics, Richmond, VA, USA
| | - Christina Sheerin
- Department of Psychiatry, Virginia Commonwealth University, Virginia Institute for Psychiatric and Behavior Genetics, Richmond, VA, USA
| | - Stacey Saenz de Viteri
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Health Sciences University, Brooklyn, NY, USA
| | - Shannon Cusack
- Department of Psychiatry, Virginia Commonwealth University, Virginia Institute for Psychiatric and Behavior Genetics, Richmond, VA, USA
| | - David Chorlian
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Health Sciences University, Brooklyn, NY, USA
| | - Peter B. Barr
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Health Sciences University, Brooklyn, NY, USA
- VA New York Harbor Healthcare System, Brooklyn, NY, USA
| | - Isabelle Kaplan
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Health Sciences University, Brooklyn, NY, USA
| | - Gayathri Pandey
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Health Sciences University, Brooklyn, NY, USA
| | - Kristina A. Osipenko
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Health Sciences University, Brooklyn, NY, USA
| | - Vivia McCutcheon
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
| | - Sally I-Chun Kuo
- Department of Psychiatry, Rutgers University, Robert Wood Johnson Medical School, Piscataway, NJ, USA
| | - Megan E. Cooke
- Department of Psychiatry, Rutgers University, Robert Wood Johnson Medical School, Piscataway, NJ, USA
| | - Sarah J. Brislin
- Department of Psychiatry, Rutgers University, Robert Wood Johnson Medical School, Piscataway, NJ, USA
| | - Jessica E. Salvatore
- Department of Psychiatry, Rutgers University, Robert Wood Johnson Medical School, Piscataway, NJ, USA
| | - Chella Kamarajan
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Health Sciences University, Brooklyn, NY, USA
| | - Bernice Porjesz
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Health Sciences University, Brooklyn, NY, USA
| | - Ananda B. Amstadter
- Department of Psychiatry, Virginia Commonwealth University, Virginia Institute for Psychiatric and Behavior Genetics, Richmond, VA, USA
| | - Jacquelyn L. Meyers
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Health Sciences University, Brooklyn, NY, USA
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Popova D, Sun J, Chow HM, Hart RP. A critical review of ethanol effects on neuronal firing: A metabolic perspective. ALCOHOL, CLINICAL & EXPERIMENTAL RESEARCH 2024; 48:450-458. [PMID: 38217065 PMCID: PMC10966925 DOI: 10.1111/acer.15266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 12/22/2023] [Accepted: 01/02/2024] [Indexed: 01/14/2024]
Abstract
Ethanol metabolism is relatively understudied in neurons, even though changes in neuronal metabolism are known to affect their activity. Recent work demonstrates that ethanol is preferentially metabolized over glucose as a source of carbon and energy, and it reprograms neurons to a state of reduced energy potential and diminished capacity to utilize glucose once ethanol is exhausted. Ethanol intake has been associated with changes in neuronal firing and specific brain activity (EEG) patterns have been linked with risk for alcohol use disorder (AUD). Furthermore, a haplotype of the inwardly rectifying potassium channel subunit, GIRK2, which plays a critical role in regulating excitability of neurons, has been linked with AUD and shown to be directly regulated by ethanol. At the same time, overexpression of GIRK2 prevents ethanol-induced metabolic changes. Based on the available evidence, we conclude that the mechanisms underlying the effects of ethanol on neuronal metabolism are a novel target for developing therapies for AUD.
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Affiliation(s)
- Dina Popova
- Department of Cell Biology & Neuroscience, Rutgers University, Piscataway NJ USA
- Present address: Neuroscience Institute, NYU Langone Grossman School of Medicine, New York, NY USA
| | - Jacquelyne Sun
- School of Life Sciences, Faculty of Science, The Chinese University of Hong Kong, Hong Kong, Hong Kong
| | - Hei-Man Chow
- School of Life Sciences, Faculty of Science, The Chinese University of Hong Kong, Hong Kong, Hong Kong
- Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong, Hong Kong, Hong Kong
| | - Ronald P. Hart
- Department of Cell Biology & Neuroscience, Rutgers University, Piscataway NJ USA
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Miller AP, Kuo SIC, Johnson EC, Tillman R, Brislin SJ, Dick DM, Kamarajan C, Kinreich S, Kramer J, McCutcheon VV, Plawecki MH, Porjesz B, Schuckit MA, Salvatore JE, Edenberg HJ, Bucholz KK, Meyers JL, Agrawal A. Diagnostic Criteria for Identifying Individuals at High Risk of Progression From Mild or Moderate to Severe Alcohol Use Disorder. JAMA Netw Open 2023; 6:e2337192. [PMID: 37815828 PMCID: PMC10565602 DOI: 10.1001/jamanetworkopen.2023.37192] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 08/22/2023] [Indexed: 10/11/2023] Open
Abstract
Importance Current Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) (DSM-5) diagnoses of substance use disorders rely on criterion count-based approaches, disregarding severity grading indexed by individual criteria. Objective To examine correlates of alcohol use disorder (AUD) across count-based severity groups (ie, mild, moderate, mild-to-moderate, severe), identify specific diagnostic criteria indicative of greater severity, and evaluate whether specific criteria within mild-to-moderate AUD differentiate across relevant correlates and manifest in greater hazards of severe AUD development. Design, Setting, and Participants This cohort study involved 2 cohorts from the family-based Collaborative Study on the Genetics of Alcoholism (COGA) with 7 sites across the United States: cross-sectional (assessed 1991-2005) and longitudinal (assessed 2004-2019). Statistical analyses were conducted from December 2022 to June 2023. Main Outcomes and Measures Sociodemographic, alcohol-related, psychiatric comorbidity, brain electroencephalography (EEG), and AUD polygenic score measures as correlates of DSM-5 AUD levels (ie, mild, moderate, severe) and criterion severity-defined mild-to-moderate AUD diagnostic groups (ie, low-risk vs high-risk mild-to-moderate). Results A total of 13 110 individuals from the cross-sectional COGA cohort (mean [SD] age, 37.8 [14.2] years) and 2818 individuals from the longitudinal COGA cohort (mean baseline [SD] age, 16.1 [3.2] years) were included. Associations with alcohol-related, psychiatric, EEG, and AUD polygenic score measures reinforced the role of increasing criterion counts as indexing severity. Yet within mild-to-moderate AUD (2-5 criteria), the presence of specific high-risk criteria (eg, withdrawal) identified a group reporting heavier drinking and greater psychiatric comorbidity even after accounting for criterion count differences. In longitudinal analyses, prior mild-to-moderate AUD characterized by endorsement of at least 1 high-risk criterion was associated with more accelerated progression to severe AUD (adjusted hazard ratio [aHR], 11.62; 95% CI, 7.54-17.92) compared with prior mild-to-moderate AUD without endorsement of high-risk criteria (aHR, 5.64; 95% CI, 3.28-9.70), independent of criterion count. Conclusions and Relevance In this cohort study of a combined 15 928 individuals, findings suggested that simple count-based AUD diagnostic approaches to estimating severe AUD vulnerability, which ignore heterogeneity among criteria, may be improved by emphasizing specific high-risk criteria. Such emphasis may allow better focus on individuals at the greatest risk and improve understanding of the development of AUD.
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Affiliation(s)
- Alex P. Miller
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
| | - Sally I-Chun Kuo
- Department of Psychiatry, Rutgers Robert Wood Johnson Medical School, Piscataway, New Jersey
| | - Emma C. Johnson
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
| | - Rebecca Tillman
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
| | - Sarah J. Brislin
- Department of Psychiatry, Rutgers Robert Wood Johnson Medical School, Piscataway, New Jersey
| | - Danielle M. Dick
- Department of Psychiatry, Rutgers Robert Wood Johnson Medical School, Piscataway, New Jersey
| | - Chella Kamarajan
- Department of Psychiatry and Behavioral Sciences, State University of New York Health Sciences University, Brooklyn
| | - Sivan Kinreich
- Department of Psychiatry and Behavioral Sciences, State University of New York Health Sciences University, Brooklyn
| | - John Kramer
- Department of Psychiatry, University of Iowa, Iowa City
| | - Vivia V. McCutcheon
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
| | | | - Bernice Porjesz
- Department of Psychiatry and Behavioral Sciences, State University of New York Health Sciences University, Brooklyn
| | - Marc A. Schuckit
- Department of Psychiatry, University of California San Diego Medical School, San Diego
| | - Jessica E. Salvatore
- Department of Psychiatry, Rutgers Robert Wood Johnson Medical School, Piscataway, New Jersey
| | - Howard J. Edenberg
- Department of Biochemistry and Molecular Biology, Indiana University, Indianapolis
| | - Kathleen K. Bucholz
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
| | - Jaquelyn L. Meyers
- Department of Psychiatry and Behavioral Sciences, State University of New York Health Sciences University, Brooklyn
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
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Ehringer MA. Collaborative study on the genetics of alcoholism: The strength of collaboration, team science, and longitudinal data. GENES, BRAIN, AND BEHAVIOR 2023; 22:e12866. [PMID: 37793903 PMCID: PMC10550785 DOI: 10.1111/gbb.12866] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Accepted: 09/02/2023] [Indexed: 10/06/2023]
Abstract
This issue contains a series of articles describing the various resources, studies, results, and future directions for the collaborative study on the genetics of alcoholism (COGA). The collaborative and integrative approach initiated by this group ~30 years ago serves as an excellent example of the strength of team science. Individually, various aspects of COGA would be limited in their impact toward improved understanding of alcohol use disorder. Collectively, their wholistic approach which spans deep longitudinal phenotypic assessments in families to include the application of large-scale omics technologies and cell-culture based molecular studies has demonstrated the power of working together.
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Affiliation(s)
- Marissa A. Ehringer
- Institute for Behavioral Genetics and the Department of Integrative PhysiologyUniversity of ColoradoBoulderColoradoUSA
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