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Neale ZE, Cooke ME, Cárcamo J, Trabilsy M, Barr PB, Chatzinakos C, Chorlian DB, Kuang W, Pandey G, Goate AM, Porjesz B, Amstadter AB, Meyers JL. Childhood Trauma and APOEε4 are Associated with Adolescent Brain Function, Posttraumatic Stress, and Alcohol-related Outcomes. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2025:2025.05.02.25326879. [PMID: 40385388 PMCID: PMC12083618 DOI: 10.1101/2025.05.02.25326879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 05/20/2025]
Abstract
Childhood trauma affects neurodevelopment and lifelong risk for posttraumatic stress disorder (PTSD) and alcohol use disorder (AUD). Changes in brain structures and function are observed in young carriers of APOEε4, the genetic factor most associated with Alzheimer's disease. Longitudinal studies of APOEε4, childhood trauma, and neural connectivity in adolescence have not been explored. We studied 837 trauma-exposed participants (53% female) from the Collaborative Study on the Genetics of Alcoholism prospective sample, using latent growth curve models to assess associations of childhood trauma and APOEε4 on repeated measures of frontal alpha EEG coherence (EEGc) throughout adolescence and young adulthood. Young adult AUD and PTSD symptoms were also examined. Results indicate childhood trauma and APOEε4 are linked to neural connectivity, with effects differing by sex and trauma type. In females, sexual trauma was associated with a higher EEGc baseline but less growth, while APOEε4 associated with lower right frontocentral (RFC) EEGc baseline and higher slope. In males, physical assault was associated with lower left frontocentral (LFC) EEGc baseline but increased growth, and non-assaultive trauma was linked to a lower RFC baseline and no association with growth. APOEε4 was associated with lower LFC baseline and higher slope in males. Links between EEGc and AUD and PTSD were observed in both sexes, though effects differed in direction and strength. No significant trauma-by-APOEε4 interactions emerged, nor direct links between APOEε4 and PTSD or AUD. Findings highlight how EEGc may help explain connections between genetics, trauma, and psychopathology, guiding at-risk group identification and informing prevention strategies.
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Affiliation(s)
- Zoe E. Neale
- State University of New York Downstate Health Sciences University, Department of Psychiatry and Behavioral Sciences, Brooklyn, NY, USA
- VA New York Harbor Healthcare System, Brooklyn, NY, USA
| | - Megan E. Cooke
- Rutgers University, Robert Wood Johnson Medical School, Department of Psychiatry, Piscataway, NJ, USA
| | - Jasmine Cárcamo
- State University of New York Downstate Health Sciences University, Department of Psychiatry and Behavioral Sciences, Brooklyn, NY, USA
| | - Maissa Trabilsy
- State University of New York Downstate Health Sciences University, Department of Psychiatry and Behavioral Sciences, Brooklyn, NY, USA
| | - Peter B. Barr
- State University of New York Downstate Health Sciences University, Department of Psychiatry and Behavioral Sciences, Brooklyn, NY, USA
- VA New York Harbor Healthcare System, Brooklyn, NY, USA
| | - Chris Chatzinakos
- State University of New York Downstate Health Sciences University, Department of Psychiatry and Behavioral Sciences, Brooklyn, NY, USA
| | - David B. Chorlian
- State University of New York Downstate Health Sciences University, Department of Psychiatry and Behavioral Sciences, Brooklyn, NY, USA
| | - Weipeng Kuang
- State University of New York Downstate Health Sciences University, Department of Psychiatry and Behavioral Sciences, Brooklyn, NY, USA
| | - Gayathri Pandey
- State University of New York Downstate Health Sciences University, Department of Psychiatry and Behavioral Sciences, Brooklyn, NY, USA
| | - Alison M. Goate
- Mount Sinai, Icahn School of Medicine, Department of Genetics and Genomic Sciences, New York, NY, USA
- Mount Sinai, Icahn School of Medicine, Ronald M. Loeb Center for Alzheimer’s Disease, New York, NY, USA
| | - Bernice Porjesz
- State University of New York Downstate Health Sciences University, Department of Psychiatry and Behavioral Sciences, Brooklyn, NY, USA
| | - Ananda B. Amstadter
- Virginia Commonwealth University, Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Richmond, VA, USA
| | - Jacquelyn L. Meyers
- State University of New York Downstate Health Sciences University, Department of Psychiatry and Behavioral Sciences, Brooklyn, NY, USA
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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] [Download PDF] [Figures] [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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5
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Li X, Liu J, Boreland AJ, Kapadia S, Zhang S, Stillitano AC, Abbo Y, Clark L, Lai D, Liu Y, Barr PB, Meyers JL, Kamarajan C, Kuang W, Agrawal A, Slesinger PA, Dick D, Salvatore J, Tischfield J, Duan J, Edenberg HJ, Kreimer A, Hart RP, Pang ZP. Polygenic risk for alcohol use disorder affects cellular responses to ethanol exposure in a human microglial cell model. SCIENCE ADVANCES 2024; 10:eado5820. [PMID: 39514655 PMCID: PMC11546823 DOI: 10.1126/sciadv.ado5820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Accepted: 10/04/2024] [Indexed: 11/16/2024]
Abstract
Polygenic risk scores (PRSs) assess genetic susceptibility to alcohol use disorder (AUD), yet their molecular implications remain underexplored. Neuroimmune interactions, particularly in microglia, are recognized as notable contributors to AUD pathophysiology. We investigated the interplay between AUD PRS and ethanol in human microglia derived from iPSCs from individuals with AUD high-PRS (diagnosed with AUD) or low-PRS (unaffected). Ethanol exposure induced elevated CD68 expression and morphological changes in microglia, with differential responses between high-PRS and low-PRS microglial cells. Transcriptomic analysis revealed expression differences in MHCII complex and phagocytosis-related genes following ethanol exposure; high-PRS microglial cells displayed enhanced phagocytosis and increased CLEC7A expression, unlike low-PRS microglial cells. Synapse numbers in cocultures of induced neurons with microglia after alcohol exposure were lower in high-RPS cocultures, suggesting possible excess synapse pruning. This study provides insights into the intricate relationship between AUD PRS, ethanol, and microglial function, potentially influencing neuronal functions in developing AUD.
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Affiliation(s)
- Xindi Li
- Department of Neuroscience and Cell Biology and The Child Health Institute of New Jersey, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ 08901, USA
| | - Jiayi Liu
- Department of Biochemistry and Molecular Biology, Rutgers, The State University of New Jersey, 604 Allison Road, Piscataway, NJ 08854, USA
- Center for Advanced Biotechnology and Medicine, Rutgers, The State University of New Jersey, 679 Hoes Lane West, Piscataway, NJ 08854, USA
| | - Andrew J. Boreland
- Department of Neuroscience and Cell Biology and The Child Health Institute of New Jersey, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ 08901, USA
| | - Sneha Kapadia
- Department of Neuroscience and Cell Biology and The Child Health Institute of New Jersey, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ 08901, USA
| | - Siwei Zhang
- Center for Psychiatric Genetics, NorthShore University HealthSystem, Evanston, IL 60201, USA
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL 60637, USA
| | - Alessandro C. Stillitano
- Department of Neuroscience and Cell Biology and The Child Health Institute of New Jersey, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ 08901, USA
| | - Yara Abbo
- Department of Neuroscience and Cell Biology and The Child Health Institute of New Jersey, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ 08901, USA
| | - Lorraine Clark
- Department of Neuroscience and Cell Biology and The Child Health Institute of New Jersey, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ 08901, USA
| | - Dongbing Lai
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Yunlong Liu
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Peter B. Barr
- Department of Psychiatry & Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Jacquelyn L. Meyers
- Department of Psychiatry & Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Chella Kamarajan
- Department of Psychiatry & Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Weipeng Kuang
- Department of Psychiatry & Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Arpana Agrawal
- Department of Psychiatry, Washinton University School of Medicine, Saint Louis, MO 63108, USA
| | - Paul A. Slesinger
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Danielle Dick
- Department of Psychiatry, Rutgers University Robert Wood Johnson Medical School, Piscataway, NJ 08854, USA
| | - Jessica Salvatore
- Department of Psychiatry, Rutgers University Robert Wood Johnson Medical School, Piscataway, NJ 08854, USA
| | - Jay Tischfield
- Human Genetics Institute of New Jersey, Rutgers University, Piscataway, NJ 08854, USA
- Department of Genetics, Rutgers University, Piscataway, NJ 08854, USA
| | - Jubao Duan
- Center for Psychiatric Genetics, NorthShore University HealthSystem, Evanston, IL 60201, USA
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL 60637, USA
| | - Howard J. Edenberg
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Anat Kreimer
- Department of Biochemistry and Molecular Biology, Rutgers, The State University of New Jersey, 604 Allison Road, Piscataway, NJ 08854, USA
- Center for Advanced Biotechnology and Medicine, Rutgers, The State University of New Jersey, 679 Hoes Lane West, Piscataway, NJ 08854, USA
| | - Ronald P. Hart
- Human Genetics Institute of New Jersey, Rutgers University, Piscataway, NJ 08854, USA
- Department of Cell Biology & Neuroscience, Rutgers University, Piscataway, NJ 08854, USA
| | - Zhiping P. Pang
- Department of Neuroscience and Cell Biology and The Child Health Institute of New Jersey, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ 08901, USA
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Ferraguti G, Francati S, Codazzo C, Blaconà G, Testino G, Angeloni A, Fiore M, Ceccanti M, Lucarelli M. DNA Sequence Variations Affecting Serotonin Transporter Transcriptional Regulation and Activity: Do They Impact Alcohol Addiction? Int J Mol Sci 2024; 25:8089. [PMID: 39125658 PMCID: PMC11311659 DOI: 10.3390/ijms25158089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2024] [Revised: 07/17/2024] [Accepted: 07/23/2024] [Indexed: 08/12/2024] Open
Abstract
Genetic features of alcohol dependence have been extensively investigated in recent years. A large body of studies has underlined the important role of genetic variants not only in metabolic pathways but also in the neurobiology of alcohol dependence, mediated by the neuronal circuits regulating reward and craving. Serotonin transporter (5-HTT), encoded by the SLC6A4 gene (Solute carrier family 6-neurotransmitter transporter-member 4), is targeted by antidepressant drugs such as selective serotonin reuptake inhibitors (SSRIs) and plays a pivotal role in serotoninergic transmission; it has been associated with psychiatric diseases and alcohol dependence. Transcriptional regulation and expression of 5-HTT depend not only on epigenetic modifications, among which DNA methylation (CpG and non-CpG) is primarily involved, but also on sequence variations occurring in intron/exon regions and in untranslated regions in 5' and 3', being the first sequences important for the splicing machinery and the last for the binding of transcription factors and micro RNAs. This work intends to shed light on the role of sequence variations known to affect the expression or function of 5-HTT in alcohol-dependent individuals. We found a statistically significant difference in the allelic (p = 0.0083) and genotypic (p = 0.0151) frequencies of the tri-allelic polymorphism, with higher function alleles and genotypes more represented in the control population. Furthermore, we identified three haplotypes more frequent in subjects with AUD (p < 0.0001) and one more frequent in the control population (p < 0.0001). The results obtained for the tri-allelic polymorphism in alcohol dependence confirm what is already present in part of the literature. The role of haplotypes requires further studies to be clarified.
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Affiliation(s)
- Giampiero Ferraguti
- Department of Experimental Medicine, Sapienza University of Rome, 00161 Rome, Italy; (S.F.); (G.B.); (G.T.); (A.A.); (M.L.)
| | - Silvia Francati
- Department of Experimental Medicine, Sapienza University of Rome, 00161 Rome, Italy; (S.F.); (G.B.); (G.T.); (A.A.); (M.L.)
| | | | - Giovanna Blaconà
- Department of Experimental Medicine, Sapienza University of Rome, 00161 Rome, Italy; (S.F.); (G.B.); (G.T.); (A.A.); (M.L.)
| | - Giancarlo Testino
- Department of Experimental Medicine, Sapienza University of Rome, 00161 Rome, Italy; (S.F.); (G.B.); (G.T.); (A.A.); (M.L.)
| | - Antonio Angeloni
- Department of Experimental Medicine, Sapienza University of Rome, 00161 Rome, Italy; (S.F.); (G.B.); (G.T.); (A.A.); (M.L.)
| | - Marco Fiore
- Institute of Biochemistry and Cell Biology, IBBC-CNR, 00161 Rome, Italy;
| | - Mauro Ceccanti
- SITAC, Società Italiana Per il Trattamento Dell’alcolismo e le Sue Complicanze, 00185 Rome, Italy;
| | - Marco Lucarelli
- Department of Experimental Medicine, Sapienza University of Rome, 00161 Rome, Italy; (S.F.); (G.B.); (G.T.); (A.A.); (M.L.)
- Pasteur Institute, Cenci Bolognetti Foundation, Sapienza University of Rome, 00161 Rome, Italy
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7
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Paul SE, Baranger DA, Johnson EC, Jackson JJ, Gorelik AJ, Miller AP, Hatoum AS, Thompson WK, Strube M, Dick DM, Kamarajan C, Kramer JR, Plawecki MH, Chan G, Anokhin AP, Chorlian DB, Kinreich S, Meyers JL, Porjesz B, Edenberg HJ, Agrawal A, Bucholz KK, Bogdan R. Alcohol milestones and internalizing, externalizing, and executive function: longitudinal and polygenic score associations. Psychol Med 2024; 54:2644-2657. [PMID: 38721768 PMCID: PMC11464200 DOI: 10.1017/s003329172400076x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
BACKGROUND Although the link between alcohol involvement and behavioral phenotypes (e.g. impulsivity, negative affect, executive function [EF]) is well-established, the directionality of these associations, specificity to stages of alcohol involvement, and extent of shared genetic liability remain unclear. We estimate longitudinal associations between transitions among alcohol milestones, behavioral phenotypes, and indices of genetic risk. METHODS Data came from the Collaborative Study on the Genetics of Alcoholism (n = 3681; ages 11-36). Alcohol transitions (first: drink, intoxication, alcohol use disorder [AUD] symptom, AUD diagnosis), internalizing, and externalizing phenotypes came from the Semi-Structured Assessment for the Genetics of Alcoholism. EF was measured with the Tower of London and Visual Span Tasks. Polygenic scores (PGS) were computed for alcohol-related and behavioral phenotypes. Cox models estimated associations among PGS, behavior, and alcohol milestones. RESULTS Externalizing phenotypes (e.g. conduct disorder symptoms) were associated with future initiation and drinking problems (hazard ratio (HR)⩾1.16). Internalizing (e.g. social anxiety) was associated with hazards for progression from first drink to severe AUD (HR⩾1.55). Initiation and AUD were associated with increased hazards for later depressive symptoms and suicidal ideation (HR⩾1.38), and initiation was associated with increased hazards for future conduct symptoms (HR = 1.60). EF was not associated with alcohol transitions. Drinks per week PGS was linked with increased hazards for alcohol transitions (HR⩾1.06). Problematic alcohol use PGS increased hazards for suicidal ideation (HR = 1.20). CONCLUSIONS Behavioral markers of addiction vulnerability precede and follow alcohol transitions, highlighting dynamic, bidirectional relationships between behavior and emerging addiction.
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Affiliation(s)
- Sarah E. Paul
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA
| | - David A.A. Baranger
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA
| | - Emma C. Johnson
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Joshua J. Jackson
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA
| | - Aaron J. Gorelik
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA
| | - Alex P. Miller
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Alexander S. Hatoum
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA
| | - Wesley K. Thompson
- Population Neuroscience and Genetics (PNG) Center, Laureate Institute for Brain Research, Tulsa, OK, USA
| | - Michael Strube
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, 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
| | - Chella Kamarajan
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - John R. Kramer
- Department of Psychiatry, Carver College of Medicine, The University of Iowa, Iowa City, IA, USA
| | - Martin H. Plawecki
- Department of Psychiatry, School of Medicine, Indiana University, Indianapolis, IN, USA
| | - Grace Chan
- Department of Psychiatry, Carver College of Medicine, The University of Iowa, Iowa City, IA, USA
- Department of Psychiatry, School of Medicine, University of Connecticut, Farmington, CT, USA
| | - Andrey P. Anokhin
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - David B. Chorlian
- 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
| | - Jacquelyn L. Meyers
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Bernice Porjesz
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, 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
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Kathleen K. Bucholz
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Ryan Bogdan
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA
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8
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Rice RC, Gil DV, Baratta AM, Frawley RR, Hill SY, Farris SP, Homanics GE. Inter- and transgenerational heritability of preconception chronic stress or alcohol exposure: Translational outcomes in brain and behavior. Neurobiol Stress 2024; 29:100603. [PMID: 38234394 PMCID: PMC10792982 DOI: 10.1016/j.ynstr.2023.100603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 12/18/2023] [Accepted: 12/19/2023] [Indexed: 01/19/2024] Open
Abstract
Chronic stress and alcohol (ethanol) use are highly interrelated and can change an individual's behavior through molecular adaptations that do not change the DNA sequence, but instead change gene expression. A recent wealth of research has found that these nongenomic changes can be transmitted across generations, which could partially account for the "missing heritability" observed in genome-wide association studies of alcohol use disorder and other stress-related neuropsychiatric disorders. In this review, we summarize the molecular and behavioral outcomes of nongenomic inheritance of chronic stress and ethanol exposure and the germline mechanisms that could give rise to this heritability. In doing so, we outline the need for further research to: (1) Investigate individual germline mechanisms of paternal, maternal, and biparental nongenomic chronic stress- and ethanol-related inheritance; (2) Synthesize and dissect cross-generational chronic stress and ethanol exposure; (3) Determine cross-generational molecular outcomes of preconception ethanol exposure that contribute to alcohol-related disease risk, using cancer as an example. A detailed understanding of the cross-generational nongenomic effects of stress and/or ethanol will yield novel insight into the impact of ancestral perturbations on disease risk across generations and uncover actionable targets to improve human health.
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Affiliation(s)
- Rachel C. Rice
- Center for Neuroscience at the University of Pittsburgh, Pittsburgh, PA, USA
| | - Daniela V. Gil
- Center for Neuroscience at the University of Pittsburgh, Pittsburgh, PA, USA
| | - Annalisa M. Baratta
- Center for Neuroscience at the University of Pittsburgh, Pittsburgh, PA, USA
| | - Remy R. Frawley
- Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Shirley Y. Hill
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Human Genetics, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Sean P. Farris
- Center for Neuroscience at the University of Pittsburgh, Pittsburgh, PA, USA
- Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA
| | - Gregg E. Homanics
- Center for Neuroscience at the University of Pittsburgh, Pittsburgh, PA, USA
- Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, PA, USA
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9
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Lai D, Kuo SIC, Wetherill L, Aliev F, Zhang M, Abreu M, Schwantes-An TH, Dick D, Francis MW, Johnson EC, Kamarajan C, Kinreich S, Kuperman S, Meyers J, Nurnberger JI, Liu Y, Edenberg HJ, Porjesz B, Agrawal A, Foroud T, Schuckit M, Plawecki MH, Bucholz KK, McCutcheon VV. Associations between alcohol use disorder polygenic score and remission in participants from high-risk families and the Indiana Biobank. ALCOHOL, CLINICAL & EXPERIMENTAL RESEARCH 2024; 48:283-294. [PMID: 38054532 PMCID: PMC10922306 DOI: 10.1111/acer.15239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 11/29/2023] [Accepted: 11/29/2023] [Indexed: 12/07/2023]
Abstract
BACKGROUND In the United States, ~50% of individuals who meet criteria for alcohol use disorder (AUD) during their lifetimes do not remit. We previously reported that a polygenic score for AUD (PGSAUD ) was positively associated with AUD severity as measured by DSM-5 lifetime criterion count, and AUD severity was negatively associated with remission. Thus, we hypothesized that PGSAUD would be negatively associated with remission. METHODS Individuals of European (EA) and African ancestry (AA) from the Collaborative Study on the Genetics of Alcoholism (COGA) who met lifetime criteria for AUD, and two EA cohorts ascertained for studies of liver diseases and substance use disorders from the Indiana Biobank were included. In COGA, 12-month remission was defined as any period of ≥12 consecutive months without meeting AUD criteria except craving and was further categorized as abstinent and non-abstinent. In the Indiana Biobank, remission was defined based on ICD codes and could not be further distinguished as abstinent or non-abstinent. Sex and age were included as covariates. COGA analyses included additional adjustment for AUD severity, family history of remission, and AUD treatment history. RESULTS In COGA EA, PGSAUD was negatively associated with 12-month and non-abstinent remission (p ≤ 0.013, βs between -0.15 and -0.10) after adjusting for all covariates. In contrast to the COGA findings, PGSAUD was positively associated with remission (p = 0.004, β = 0.28) in the Indiana Biobank liver diseases cohort but not in the Indiana Biobank substance use disorder cohort (p = 0.17, β = 0.15). CONCLUSIONS PGSAUD was negatively associated with 12-month and non-abstinent remission in COGA EA, independent of behavioral measures of AUD severity and family history of remission. The discrepant results in COGA and the Indiana Biobank could reflect different ascertainment strategies: the Indiana Biobank participants were older and had higher rates of liver disease, suggesting that these individuals remitted due to alcohol-related health conditions that manifested in later life.
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Affiliation(s)
- Dongbing Lai
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Sally I-Chun Kuo
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ
| | - Leah Wetherill
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Fazil Aliev
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ
| | - Michael Zhang
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Marco Abreu
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Tae-Hwi Schwantes-An
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Danielle Dick
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ
| | | | - Emma C. Johnson
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO
| | - Chella Kamarajan
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Science University, NY
| | - Sivan Kinreich
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Science University, NY
| | - Samuel Kuperman
- Department of Psychiatry, University of Iowa Roy J and Lucille A Carver College of Medicine, Iowa City, IA
| | - Jacquelyn Meyers
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Science University, NY
| | - John I Nurnberger
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN
| | - Yunlong Liu
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Howard J Edenberg
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN
| | - Bernice Porjesz
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Science University, NY
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Marc Schuckit
- Department of Psychiatry, University of California, San Diego Medical School, San Diego, CA
| | - Martin H. Plawecki
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN
| | - Kathleen K. Bucholz
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO
| | - Vivia V. McCutcheon
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO
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10
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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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