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Thomas NS, Gillespie NA, Chan G, Edenberg HJ, Kamarajan C, Kuo SIC, Miller AP, Nurnberger JI, Tischfield J, Dick DM, Salvatore JE. A Developmentally-Informative Genome-wide Association Study of Alcohol Use Frequency. Behav Genet 2024; 54:151-168. [PMID: 38108996 PMCID: PMC10913412 DOI: 10.1007/s10519-023-10170-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 12/01/2023] [Indexed: 12/19/2023]
Abstract
Contemporary genome-wide association study (GWAS) methods typically do not account for variability in genetic effects throughout development. We applied genomic structural equation modeling to combine developmentally-informative phenotype data and GWAS to create polygenic scores (PGS) for alcohol use frequency that are specific to developmental stage. Longitudinal cohort studies targeted for gene-identification analyses include the Collaborative Study on the Genetics of Alcoholism (adolescence n = 1,118, early adulthood n = 2,762, adulthood n = 5,255), the National Longitudinal Study of Adolescent to Adult Health (adolescence n = 3,089, early adulthood n = 3,993, adulthood n = 5,149), and the Avon Longitudinal Study of Parents and Children (ALSPAC; adolescence n = 5,382, early adulthood n = 3,613). PGS validation analyses were conducted in the COGA sample using an alternate version of the discovery analysis with COGA removed. Results suggest that genetic liability for alcohol use frequency in adolescence may be distinct from genetic liability for alcohol use frequency later in developmental periods. The age-specific PGS predicts an increase of 4 drinking days per year per PGS standard deviation when modeled separately from the common factor PGS in adulthood. The current work was underpowered at all steps of the analysis plan. Though small sample sizes and low statistical power limit the substantive conclusions that can be drawn regarding these research questions, this work provides a foundation for future genetic studies of developmental variability in the genetic underpinnings of alcohol use behaviors and genetically-informed, age-matched phenotype prediction.
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Affiliation(s)
- Nathaniel S Thomas
- Department of Psychology, Virginia Commonwealth University, Box 842018, Richmond, VA, 23284-2018, USA.
| | - Nathan A Gillespie
- Virginia Institute for Psychiatric and Behavioral Genetics, Richmond, VA, USA
| | - Grace Chan
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
- Department of Psychiatry, University of Iowa, Carver College of Medicine, Iowa City, IA, USA
| | - Howard J Edenberg
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Chella Kamarajan
- Department of Psychiatry & Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Sally I-Chun Kuo
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA
| | - Alex P Miller
- Department of Psychiatry, School of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | | | - Jay Tischfield
- Department of Genetics, Human Genetics Institute of New Jersey, Rutgers University, Piscataway, NJ, USA
| | - Danielle M Dick
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA
| | - Jessica E Salvatore
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA
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2
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Vazquez BN, Fernández-Duran I, Hernandez Y, Tarighi S, Thackray JK, Espinosa-Alcantud M, Kumari P, Ianni A, Cesaire L, Braun T, Esteller M, Tischfield J, Vaquero A, Serrano L. SIRT7 and p53 interaction in embryonic development and tumorigenesis. Front Cell Dev Biol 2024; 11:1281730. [PMID: 38234684 PMCID: PMC10791984 DOI: 10.3389/fcell.2023.1281730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 11/30/2023] [Indexed: 01/19/2024] Open
Abstract
p53 is a hallmark tumor suppressor due in part to its role in cell cycle progression, DNA damage repair, and cellular apoptosis; its protein activity interrelates with the Sirtuin family of proteins, major regulators of the cellular response to metabolic, oxidative, and genotoxic stress. In the recent years, mammalian Sirtuin 7 (SIRT7) has emerged as a pivotal regulator of p53, fine-tuning its activity in a context dependent manner. SIRT7 is frequently overexpressed in human cancer, yet its precise role in tumorigenesis and whether it involves p53 regulation is insufficiently understood. Depletion of SIRT7 in mice results in impaired embryo development and premature aging. While p53 activity has been suggested to contribute to tissue specific dysfunction in adult Sirt7 -/- mice, whether this also applies during development is currently unknown. By generating SIRT7 and p53 double-knockout mice, here we show that the demise of SIRT7-deficient embryos is not the result of p53 activity. Notably, although SIRT7 is commonly considered an oncogene, SIRT7 haploinsufficiency increases tumorigenesis in p53 knockout mice. Remarkably, in specific human tumors harboring p53 mutation, we identified that SIRT7 low expression correlates with poor patient prognosis. Transcriptomic analysis unveils a previously unrecognized interplay between SIRT7 and p53 in epithelial-to-mesenchymal transition (EMT) and extracellular matrix regulation with major implications for our understanding of embryonic development and tumor progression.
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Affiliation(s)
- Berta N. Vazquez
- Chromatin Biology Laboratory, Josep Carreras Leukaemia Research Institute (IJC), Badalona, Spain
- Unitat de Citologia i Histologia, Departament de Biologia Cel.lular, de Fisiologia i d’Immunologia, Universitat Autònoma de Barcelona (UAB), Cerdanyola del Vallès, Barcelona, Spain
| | - Irene Fernández-Duran
- Chromatin Biology Laboratory, Josep Carreras Leukaemia Research Institute (IJC), Badalona, Spain
| | - Yurdiana Hernandez
- Department of Genetics, Human Genetics Institute of New Jersey (HGINJ), Rutgers University, Piscataway, NJ, United States
| | - Shahriar Tarighi
- Department of Cardiac Development and Remodeling, Max-Planck-Institute for Heart and Lung Research, Bad Nauheim, Germany
| | - Joshua K. Thackray
- Department of Genetics, Human Genetics Institute of New Jersey (HGINJ), Rutgers University, Piscataway, NJ, United States
| | - Maria Espinosa-Alcantud
- Chromatin Biology Laboratory, Josep Carreras Leukaemia Research Institute (IJC), Badalona, Spain
| | - Poonam Kumari
- Department of Cardiac Development and Remodeling, Max-Planck-Institute for Heart and Lung Research, Bad Nauheim, Germany
| | - Alessandro Ianni
- Chromatin Biology Laboratory, Josep Carreras Leukaemia Research Institute (IJC), Badalona, Spain
- Department of Cardiac Development and Remodeling, Max-Planck-Institute for Heart and Lung Research, Bad Nauheim, Germany
| | - Lionel Cesaire
- Department of Science, Borough of Manhattan Community College (BMCC), The City University of New York (CUNY), New York, NY, United States
| | - Thomas Braun
- Department of Cardiac Development and Remodeling, Max-Planck-Institute for Heart and Lung Research, Bad Nauheim, Germany
| | - Manel Esteller
- Cancer Epigenetics Group, Josep Carreras Leukaemia Research Institute (IJC), Barcelona, Spain
- Centro de Investigacion Biomedica en Red Cancer (CIBERONC), Madrid, Spain
- Institucio Catalana de Recerca I Estudis Avançats (ICREA), Barcelona, Catalonia, Spain
- Physiological Sciences Department, School of Medicine and Health Sciences, University of Barcelona (UB), Barcelona, Catalonia, Spain
| | - Jay Tischfield
- Department of Genetics, Human Genetics Institute of New Jersey (HGINJ), Rutgers University, Piscataway, NJ, United States
| | - Alejandro Vaquero
- Chromatin Biology Laboratory, Josep Carreras Leukaemia Research Institute (IJC), Badalona, Spain
| | - Lourdes Serrano
- Department of Science, Borough of Manhattan Community College (BMCC), The City University of New York (CUNY), New York, NY, United States
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3
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Brislin SJ, Salvatore JE, Meyers JM, Kamarajan C, Plawecki MH, Edenberg HJ, Kuperman S, Tischfield J, Hesselbrock V, Anokhin AP, Chorlian DB, Schuckit MA, Nurnberger JI, Bauer L, Pandey G, Pandey AK, Kramer JR, Chan G, Porjesz B, Dick DM. Examining associations between genetic and neural risk for externalizing behaviors in adolescence and early adulthood. Psychol Med 2024; 54:267-277. [PMID: 37203444 PMCID: PMC11010461 DOI: 10.1017/s0033291723001174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
BACKGROUND Researchers have identified genetic and neural risk factors for externalizing behaviors. However, it has not yet been determined if genetic liability is conferred in part through associations with more proximal neurophysiological risk markers. METHODS Participants from the Collaborative Study on the Genetics of Alcoholism, a large, family-based study of alcohol use disorders were genotyped and polygenic scores for externalizing (EXT PGS) were calculated. Associations with target P3 amplitude from a visual oddball task (P3) and broad endorsement of externalizing behaviors (indexed via self-report of alcohol and cannabis use, and antisocial behavior) were assessed in participants of European (EA; N = 2851) and African ancestry (AA; N = 1402). Analyses were also stratified by age (adolescents, age 12-17 and young adults, age 18-32). RESULTS The EXT PGS was significantly associated with higher levels of externalizing behaviors among EA adolescents and young adults as well as AA young adults. P3 was inversely associated with externalizing behaviors among EA young adults. EXT PGS was not significantly associated with P3 amplitude and therefore, there was no evidence that P3 amplitude indirectly accounted for the association between EXT PGS and externalizing behaviors. CONCLUSIONS Both the EXT PGS and P3 amplitude were significantly associated with externalizing behaviors among EA young adults. However, these associations with externalizing behaviors appear to be independent of each other, suggesting that they may index different facets of externalizing.
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Affiliation(s)
- Sarah J. Brislin
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, New Brunswick-Piscataway, NJ, USA
| | - Jessica E. Salvatore
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, New Brunswick-Piscataway, NJ, USA
| | - Jacquelyn M. Meyers
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, New York, NY, USA
| | - Chella Kamarajan
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, New York, NY, USA
| | | | - Howard J. Edenberg
- Department of Biochemistry and Molecular Biology, Indiana University, Bloomington, IN, USA
| | - Samuel Kuperman
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - Jay Tischfield
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, New Brunswick-Piscataway, NJ, USA
| | - Victor Hesselbrock
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Andrey P. Anokhin
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA
| | - David B. Chorlian
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, New York, NY, USA
| | - Marc A. Schuckit
- Department of Psychiatry, University of California San Diego Medical School, San Diego, CA, USA
| | | | - Lance Bauer
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Gayathri Pandey
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, New York, NY, USA
| | - Ashwini K. Pandey
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, New York, NY, USA
| | - John R. Kramer
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - Grace Chan
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Bernice Porjesz
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, New York, NY, USA
| | | | - Danielle M. Dick
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, New Brunswick-Piscataway, NJ, USA
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4
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Su J, Kuo SIC, Aliev F, Rabinowitz JA, Jamil B, Chan G, Edenberg HJ, Francis M, Hesselbrock V, Kamarajan C, Kinreich S, Kramer J, Lai D, McCutcheon V, Meyers J, Pandey A, Pandey G, Plawecki MH, Schuckit M, Tischfield J, Dick DM. Alcohol use polygenic risk score, social support, and alcohol use among European American and African American adults. Dev Psychopathol 2023:1-13. [PMID: 37781861 PMCID: PMC10985050 DOI: 10.1017/s0954579423001141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/03/2023]
Abstract
Alcohol use is influenced by genetic and environmental factors. We examined the interactive effects between genome-wide polygenic risk scores for alcohol use (alc-PRS) and social support in relation to alcohol use among European American (EA) and African American (AA) adults across sex and developmental stages (emerging adulthood, young adulthood, and middle adulthood). Data were drawn from 4,011 EA and 1,274 AA adults from the Collaborative Study on the Genetics of Alcoholism who were between ages 18-65 and had ever used alcohol. Participants completed the Semi-Structured Assessment for the Genetics of Alcoholism and provided saliva or blood samples for genotyping. Results indicated that social support from friends, but not family, moderated the association between alc-PRS and alcohol use among EAs and AAs (only in middle adulthood for AAs); alc-PRS was associated with higher levels of alcohol use when friend support was low, but not when friend support was high. Associations were similar across sex but differed across developmental stages. Findings support the important role of social support from friends in buffering genetic risk for alcohol use among EA and AA adults and highlight the need to consider developmental changes in the role of social support in relation to alcohol use.
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Affiliation(s)
- Jinni Su
- Department of Psychology, Arizona State University, Tempe, AZ, USA
| | - Sally I-Chun Kuo
- Department of Psychiatry, Rutgers University, New Brunswick, NJ, USA
| | - Fazil Aliev
- Department of Psychiatry, Rutgers University, New Brunswick, NJ, USA
| | - Jill A Rabinowitz
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Belal Jamil
- Department of Psychology, Arizona State University, Tempe, AZ, USA
| | - Grace Chan
- Department of Psychiatry, University of Connecticut, Farmington, CT, USA
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - Howard J Edenberg
- Department of Biochemistry and Molecular Biology, Indiana University, Indianapolis, IN, USA
| | - Meredith Francis
- Department of Psychiatry, Washington University, St. Louis, MO, USA
| | - Victor Hesselbrock
- Department of Psychiatry, University of Connecticut, Farmington, CT, USA
| | - Chella Kamarajan
- Department of Psychiatry, State University of New York Downstate Medical Center, Brooklyn, USA
| | - Sivan Kinreich
- Department of Psychiatry, State University of New York Downstate Medical Center, Brooklyn, USA
| | - John Kramer
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - Donbing Lai
- Department of Biochemistry and Molecular Biology, Indiana University, Indianapolis, IN, USA
| | - Vivia McCutcheon
- Department of Psychiatry, Washington University, St. Louis, MO, USA
| | - Jacquelyn Meyers
- Department of Psychiatry, State University of New York Downstate Medical Center, Brooklyn, USA
| | - Ashwini Pandey
- Department of Psychiatry, State University of New York Downstate Medical Center, Brooklyn, USA
| | - Gayathri Pandey
- Department of Psychiatry, State University of New York Downstate Medical Center, Brooklyn, USA
| | | | - Marc Schuckit
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Jay Tischfield
- Department of Genetics, Rutgers University, New Brunswick, NJ, USA
| | - Danielle M Dick
- Rutgers Addiction Research Center, Rutgers University, New Brunswick, NJ, USA
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5
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Agrawal A, Brislin SJ, Bucholz KK, Dick D, Hart RP, Johnson EC, Meyers J, Salvatore J, Slesinger P, Almasy L, Foroud T, Goate A, Hesselbrock V, Kramer J, Kuperman S, Merikangas AK, Nurnberger JI, Tischfield J, Edenberg HJ, Porjesz B. The Collaborative Study on the Genetics of Alcoholism: Overview. Genes Brain Behav 2023; 22:e12864. [PMID: 37736010 PMCID: PMC10550790 DOI: 10.1111/gbb.12864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 07/21/2023] [Accepted: 08/23/2023] [Indexed: 09/23/2023]
Abstract
Alcohol use disorders (AUD) are commonly occurring, heritable and polygenic disorders with etiological origins in the brain and the environment. To outline the causes and consequences of alcohol-related milestones, including AUD, and their related psychiatric comorbidities, the Collaborative Study on the Genetics of Alcoholism (COGA) was launched in 1989 with a gene-brain-behavior framework. COGA is a family based, diverse (~25% self-identified African American, ~52% female) sample, including data on 17,878 individuals, ages 7-97 years, in 2246 families of which a proportion are densely affected for AUD. All participants responded to questionnaires (e.g., personality) and the Semi-Structured Assessment for the Genetics of Alcoholism (SSAGA) which gathers information on psychiatric diagnoses, conditions and related behaviors (e.g., parental monitoring). In addition, 9871 individuals have brain function data from electroencephalogram (EEG) recordings while 12,009 individuals have been genotyped on genome-wide association study (GWAS) arrays. A series of functional genomics studies examine the specific cellular and molecular mechanisms underlying AUD. This overview provides the framework for the development of COGA as a scientific resource in the past three decades, with individual reviews providing in-depth descriptions of data on and discoveries from behavioral and clinical, brain function, genetic and functional genomics data. The value of COGA also resides in its data sharing policies, its efforts to communicate scientific findings to the broader community via a project website and its potential to nurture early career investigators and to generate independent research that has broadened the impact of gene-brain-behavior research into AUD.
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Affiliation(s)
- Arpana Agrawal
- Department of PsychiatryWashington University School of Medicine in St. LouisSt. LouisMissouriUSA
| | - Sarah J. Brislin
- Department of PsychiatryRutgers Robert Wood Johnson Medical SchoolPiscatawayNew JerseyUSA
| | - Kathleen K. Bucholz
- Department of PsychiatryWashington University School of Medicine in St. LouisSt. LouisMissouriUSA
| | - Danielle Dick
- Department of PsychiatryRutgers Robert Wood Johnson Medical SchoolPiscatawayNew JerseyUSA
| | - Ronald P. Hart
- Department of Cell Biology and NeuroscienceRutgers UniversityPiscatawayNew JerseyUSA
| | - Emma C. Johnson
- Department of PsychiatryWashington University School of Medicine in St. LouisSt. LouisMissouriUSA
| | - Jacquelyn Meyers
- Department of Psychiatry and Behavioral SciencesSUNY Downstate Health Sciences UniversityBrooklynNew YorkUSA
| | - Jessica Salvatore
- Department of PsychiatryRutgers Robert Wood Johnson Medical SchoolPiscatawayNew JerseyUSA
| | - Paul Slesinger
- Department of Neuroscience & Friedman Brain InstituteIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Laura Almasy
- Department of Biomedical and Health InformaticsChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
- Department of Genetics, Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Lifespan Brain Institute, Children's Hospital of Philadelphia and Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Tatiana Foroud
- Department of Medical and Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
| | - Alison Goate
- Department of Genetics and Genomic SciencesIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
- Department of NeuroscienceIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
- Department of NeurologyIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Victor Hesselbrock
- Department of PsychiatryUniversity of Connecticut School of MedicineFarmingtonConnecticutUSA
| | - John Kramer
- Department of PsychiatryUniversity of Iowa Carver College of MedicineIowa CityIowaUSA
| | - Samuel Kuperman
- Department of PsychiatryUniversity of Iowa Carver College of MedicineIowa CityIowaUSA
| | - Alison K. Merikangas
- Department of Biomedical and Health InformaticsChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
- Department of Genetics, Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Lifespan Brain Institute, Children's Hospital of Philadelphia and Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | | | - Jay Tischfield
- Department of GeneticsRutgers UniversityPiscatawayNew JerseyUSA
| | - Howard J. Edenberg
- Department of Medical and Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
- Department of Biochemistry and Molecular BiologyIndiana University School of MedicineIndianapolisIndianaUSA
| | - Bernice Porjesz
- Department of Psychiatry and Behavioral SciencesSUNY Downstate Health Sciences UniversityBrooklynNew YorkUSA
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6
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Kuo SIC, Thomas NS, Aliev F, Bucholz KK, Dick DM, McCutcheon VV, Meyers JL, Chan G, Kamarajan C, Kramer JR, Hesselbrock V, Plawecki MH, Porjesz B, Tischfield J, Salvatore JE. Association of parental divorce, discord, and polygenic risk with children's alcohol initiation and lifetime risk for alcohol use disorder. Alcohol Clin Exp Res (Hoboken) 2023; 47:724-735. [PMID: 36807915 PMCID: PMC10149624 DOI: 10.1111/acer.15042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Revised: 01/25/2023] [Accepted: 02/14/2023] [Indexed: 02/21/2023]
Abstract
BACKGROUND Parental divorce and discord are associated with poorer alcohol-related outcomes for offspring. However, not all children exposed to these stressors develop alcohol problems. Our objective was to test gene-by-environment interaction effects whereby children's genetic risk for alcohol problems modifies the effects of parental divorce and discord to predict alcohol outcomes. METHODS The sample included European (EA; N = 5608, 47% male, Mage ~ 36 years) and African (AA; N = 1714, 46% female, Mage ~ 33 years) ancestry participants from the Collaborative Study on the Genetics of Alcoholism. Outcomes included age at initiation of regular drinking and lifetime DSM-5 alcohol use disorder (AUD). Predictors included parental divorce, parental relationship discord, and offspring alcohol problems polygenic risk scores (PRSALC ). Mixed effects Cox proportional hazard models were used to examine alcohol initiation and generalized linear mixed effects models were used to examine lifetime AUD. Tests of PRS moderation of the effects of parental divorce/relationship discord on alcohol outcomes were examined on multiplicative and additive scales. RESULTS Among EA participants, parental divorce, parental discord, and higher PRSALC were associated with earlier alcohol initiation and greater lifetime AUD risk. Among AA participants, parental divorce was associated with earlier alcohol initiation and discord was associated with earlier initiation and AUD. PRSALC was not associated with either. Parental divorce/discord and PRSALC interacted on an additive scale in the EA sample, but no interactions were found in AA participants. CONCLUSIONS Children's genetic risk for alcohol problems modifies the impact of parental divorce/discord, consistent with an additive model of diathesis-stress interaction, with some differences across ancestry.
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Affiliation(s)
- Sally I-Chun Kuo
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, New Jersey, USA
| | - Nathaniel S. Thomas
- Department of Psychology, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Fazil Aliev
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, New Jersey, USA
| | - Kathleen K. Bucholz
- Department of Psychiatry, School of Medicine, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Danielle M. Dick
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, New Jersey, USA
| | - Vivia V. McCutcheon
- Department of Psychiatry, School of Medicine, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Jacquelyn L. Meyers
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, New York, USA
| | - Grace Chan
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, Connecticut, USA
| | - Chella Kamarajan
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, New York, USA
| | - John R. Kramer
- Department of Psychiatry, University of Iowa, Iowa City, Iowa, USA
| | - Victor Hesselbrock
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, Connecticut, USA
| | - Martin H. Plawecki
- Department of Psychiatry, Indiana University, Indianapolis, Indiana, USA
| | - Bernice Porjesz
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, New York, USA
| | - Jay Tischfield
- Department of Genetics, Rutgers University, Piscataway, New Jersey, USA
| | - Jessica E. Salvatore
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, New Jersey, USA
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7
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Chorlian DB, Meyers JL, Manz N, Zhang J, Kamarajan C, Pandey A, Wang JC, Plawecki M, Edenberg H, Goate A, Tischfield J, Porjesz B. Genetic influences vary by age and sex: Trajectories of the association of cholinergic system variants and theta band event related oscillations. bioRxiv 2023:2023.02.27.530318. [PMID: 36909650 PMCID: PMC10002625 DOI: 10.1101/2023.02.27.530318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
Abstract
To characterize systemic changes in genetic effects on brain development, the age variation of the associations of cholinergic genetic variants and theta band event-related oscillations (EROs) was studied in a sample of 2140 adolescents and young adults, ages 12 to 25 from the COGA prospective study. The theta band EROs were elicited in visual and auditory oddball (target detection) tasks and measured by EEG recording. Associations were found to vary with age, sex, task modality (auditory or visual), and scalp locality. Seven of the twenty-one muscarinic and nicotinic cholinergic SNPs studied in the analysis, from CHRM2, CHRNA3, CHRNA5, and CHRNB4, had significant effects on theta band EROs with considerable age spans for some sex-modality combination. No SNP-age-modality combination had significant effects in the same direction for males and females. Results suggest that nicotinic receptor associations are stronger before age 18, while muscarinic receptor associations are stronger after age 18.
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8
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Lubin JH, Zardecki C, Dolan EM, Lu C, Shen Z, Dutta S, Westbrook JD, Hudson BP, Goodsell DS, Williams JK, Voigt M, Sarma V, Xie L, Venkatachalam T, Arnold S, Alfaro Alvarado LH, Catalfano K, Khan A, McCarthy E, Staggers S, Tinsley B, Trudeau A, Singh J, Whitmore L, Zheng H, Benedek M, Currier J, Dresel M, Duvvuru A, Dyszel B, Fingar E, Hennen EM, Kirsch M, Khan AA, Labrie‐Cleary C, Laporte S, Lenkeit E, Martin K, Orellana M, Ortiz‐Alvarez de la Campa M, Paredes I, Wheeler B, Rupert A, Sam A, See K, Soto Zapata S, Craig PA, Hall BL, Jiang J, Koeppe JR, Mills SA, Pikaart MJ, Roberts R, Bromberg Y, Hoyer JS, Duffy S, Tischfield J, Ruiz FX, Arnold E, Baum J, Sandberg J, Brannigan G, Khare SD, Burley SK. Evolution of the SARS-CoV-2 proteome in three dimensions (3D) during the first 6 months of the COVID-19 pandemic. Proteins 2022; 90:1054-1080. [PMID: 34580920 PMCID: PMC8661935 DOI: 10.1002/prot.26250] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 08/26/2021] [Accepted: 09/16/2021] [Indexed: 01/18/2023]
Abstract
Understanding the molecular evolution of the SARS-CoV-2 virus as it continues to spread in communities around the globe is important for mitigation and future pandemic preparedness. Three-dimensional structures of SARS-CoV-2 proteins and those of other coronavirusess archived in the Protein Data Bank were used to analyze viral proteome evolution during the first 6 months of the COVID-19 pandemic. Analyses of spatial locations, chemical properties, and structural and energetic impacts of the observed amino acid changes in >48 000 viral isolates revealed how each one of 29 viral proteins have undergone amino acid changes. Catalytic residues in active sites and binding residues in protein-protein interfaces showed modest, but significant, numbers of substitutions, highlighting the mutational robustness of the viral proteome. Energetics calculations showed that the impact of substitutions on the thermodynamic stability of the proteome follows a universal bi-Gaussian distribution. Detailed results are presented for potential drug discovery targets and the four structural proteins that comprise the virion, highlighting substitutions with the potential to impact protein structure, enzyme activity, and protein-protein and protein-nucleic acid interfaces. Characterizing the evolution of the virus in three dimensions provides testable insights into viral protein function and should aid in structure-based drug discovery efforts as well as the prospective identification of amino acid substitutions with potential for drug resistance.
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Affiliation(s)
- Joseph H. Lubin
- Institute for Quantitative Biomedicine, Rutgers, The State University of New JerseyPiscatawayNew JerseyUSA
- Department of Chemistry and Chemical BiologyRutgers, The State University of New JerseyPiscatawayNew JerseyUSA
| | - Christine Zardecki
- Institute for Quantitative Biomedicine, Rutgers, The State University of New JerseyPiscatawayNew JerseyUSA
- Research Collaboratory for Structural Bioinformatics Protein Data BankRutgers, The State University of New JerseyPiscatawayNew JerseyUSA
| | - Elliott M. Dolan
- Institute for Quantitative Biomedicine, Rutgers, The State University of New JerseyPiscatawayNew JerseyUSA
- Department of Chemistry and Chemical BiologyRutgers, The State University of New JerseyPiscatawayNew JerseyUSA
| | - Changpeng Lu
- Institute for Quantitative Biomedicine, Rutgers, The State University of New JerseyPiscatawayNew JerseyUSA
| | - Zhuofan Shen
- Institute for Quantitative Biomedicine, Rutgers, The State University of New JerseyPiscatawayNew JerseyUSA
- Department of Chemistry and Chemical BiologyRutgers, The State University of New JerseyPiscatawayNew JerseyUSA
| | - Shuchismita Dutta
- Institute for Quantitative Biomedicine, Rutgers, The State University of New JerseyPiscatawayNew JerseyUSA
- Research Collaboratory for Structural Bioinformatics Protein Data BankRutgers, The State University of New JerseyPiscatawayNew JerseyUSA
- Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers, The State University of New JerseyNew BrunswickNew JerseyUSA
| | - John D. Westbrook
- Institute for Quantitative Biomedicine, Rutgers, The State University of New JerseyPiscatawayNew JerseyUSA
- Research Collaboratory for Structural Bioinformatics Protein Data BankRutgers, The State University of New JerseyPiscatawayNew JerseyUSA
- Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers, The State University of New JerseyNew BrunswickNew JerseyUSA
| | - Brian P. Hudson
- Institute for Quantitative Biomedicine, Rutgers, The State University of New JerseyPiscatawayNew JerseyUSA
- Research Collaboratory for Structural Bioinformatics Protein Data BankRutgers, The State University of New JerseyPiscatawayNew JerseyUSA
| | - David S. Goodsell
- Institute for Quantitative Biomedicine, Rutgers, The State University of New JerseyPiscatawayNew JerseyUSA
- Research Collaboratory for Structural Bioinformatics Protein Data BankRutgers, The State University of New JerseyPiscatawayNew JerseyUSA
- Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers, The State University of New JerseyNew BrunswickNew JerseyUSA
- The Scripps Research InstituteLa JollaCaliforniaUSA
| | - Jonathan K. Williams
- Department of Chemistry and Chemical BiologyRutgers, The State University of New JerseyPiscatawayNew JerseyUSA
| | - Maria Voigt
- Institute for Quantitative Biomedicine, Rutgers, The State University of New JerseyPiscatawayNew JerseyUSA
- Research Collaboratory for Structural Bioinformatics Protein Data BankRutgers, The State University of New JerseyPiscatawayNew JerseyUSA
| | - Vidur Sarma
- Institute for Quantitative Biomedicine, Rutgers, The State University of New JerseyPiscatawayNew JerseyUSA
| | - Lingjun Xie
- Institute for Quantitative Biomedicine, Rutgers, The State University of New JerseyPiscatawayNew JerseyUSA
- Department of Chemistry and Chemical BiologyRutgers, The State University of New JerseyPiscatawayNew JerseyUSA
| | - Thejasvi Venkatachalam
- Institute for Quantitative Biomedicine, Rutgers, The State University of New JerseyPiscatawayNew JerseyUSA
| | - Steven Arnold
- Institute for Quantitative Biomedicine, Rutgers, The State University of New JerseyPiscatawayNew JerseyUSA
| | | | | | - Aaliyah Khan
- University of Maryland Baltimore CountyBaltimoreMarylandUSA
| | | | | | | | | | | | | | - Helen Zheng
- Watchung Hills Regional High SchoolWarrenNew JerseyUSA
| | | | | | - Mark Dresel
- Department of Chemistry and Chemical BiologyRutgers, The State University of New JerseyPiscatawayNew JerseyUSA
| | | | | | | | | | | | | | | | | | - Evan Lenkeit
- Department of Chemistry and Chemical BiologyRutgers, The State University of New JerseyPiscatawayNew JerseyUSA
| | | | | | | | | | | | | | - Andrew Sam
- Department of Chemistry and Chemical BiologyRutgers, The State University of New JerseyPiscatawayNew JerseyUSA
| | - Katherine See
- Rochester Institute of TechnologyRochesterNew YorkUSA
| | | | - Paul A. Craig
- Rochester Institute of TechnologyRochesterNew YorkUSA
| | | | - Jennifer Jiang
- Institute for Quantitative Biomedicine, Rutgers, The State University of New JerseyPiscatawayNew JerseyUSA
| | | | | | | | | | - Yana Bromberg
- Department of Biochemistry and MicrobiologyRutgers, The State University of New JerseyNew BrunswickNew JerseyUSA
| | - J. Steen Hoyer
- Department of Ecology, Evolution and Natural Resources, School of Environmental and Biological SciencesRutgers, The State University of New JerseyNew BrunswickNew JerseyUSA
| | - Siobain Duffy
- Department of Ecology, Evolution and Natural Resources, School of Environmental and Biological SciencesRutgers, The State University of New JerseyNew BrunswickNew JerseyUSA
| | - Jay Tischfield
- Department of GeneticsRutgers, The State University of New Jersey, and Human Genetics Institute of New JerseyPiscatawayNew JerseyUSA
| | - Francesc X. Ruiz
- Center for Advanced Biotechnology and MedicineRutgers, The State University of New JerseyPiscatawayNew JerseyUSA
| | - Eddy Arnold
- Department of Chemistry and Chemical BiologyRutgers, The State University of New JerseyPiscatawayNew JerseyUSA
- Center for Advanced Biotechnology and MedicineRutgers, The State University of New JerseyPiscatawayNew JerseyUSA
| | - Jean Baum
- Department of Chemistry and Chemical BiologyRutgers, The State University of New JerseyPiscatawayNew JerseyUSA
| | - Jesse Sandberg
- Center for Computational and Integrative BiologyRutgers, The State University of New JerseyCamdenNew JerseyUSA
| | - Grace Brannigan
- Center for Computational and Integrative BiologyRutgers, The State University of New JerseyCamdenNew JerseyUSA
- Department of PhysicsRutgers, The State University of New JerseyCamdenNew JerseyUSA
| | - Sagar D. Khare
- Institute for Quantitative Biomedicine, Rutgers, The State University of New JerseyPiscatawayNew JerseyUSA
- Department of Chemistry and Chemical BiologyRutgers, The State University of New JerseyPiscatawayNew JerseyUSA
- Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers, The State University of New JerseyNew BrunswickNew JerseyUSA
| | - Stephen K. Burley
- Institute for Quantitative Biomedicine, Rutgers, The State University of New JerseyPiscatawayNew JerseyUSA
- Department of Chemistry and Chemical BiologyRutgers, The State University of New JerseyPiscatawayNew JerseyUSA
- Research Collaboratory for Structural Bioinformatics Protein Data BankRutgers, The State University of New JerseyPiscatawayNew JerseyUSA
- Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers, The State University of New JerseyNew BrunswickNew JerseyUSA
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, San Diego Supercomputer CenterUniversity of CaliforniaSan Diego, La JollaCaliforniaUSA
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9
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Lai D, Johnson EC, Colbert S, Pandey G, Chan G, Bauer L, Francis MW, Hesselbrock V, Kamarajan C, Kramer J, Kuang W, Kuo S, Kuperman S, Liu Y, McCutcheon V, Pang Z, Plawecki MH, Schuckit M, Tischfield J, Wetherill L, Zang Y, Edenberg HJ, Porjesz B, Agrawal A, Foroud T. Evaluating risk for alcohol use disorder: Polygenic risk scores and family history. Alcohol Clin Exp Res 2022; 46:374-383. [PMID: 35267208 PMCID: PMC8928056 DOI: 10.1111/acer.14772] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 12/13/2021] [Accepted: 01/05/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND Early identification of individuals at high risk for alcohol use disorder (AUD) coupled with prompt interventions could reduce the incidence of AUD. In this study, we investigated whether Polygenic Risk Scores (PRS) can be used to evaluate the risk for AUD and AUD severity (as measured by the number of DSM-5 AUD diagnostic criteria met) and compared their performance with a measure of family history of AUD. METHODS We studied individuals of European ancestry from the Collaborative Study on the Genetics of Alcoholism (COGA). DSM-5 diagnostic criteria were available for 7203 individuals, of whom 3451 met criteria for DSM-IV alcohol dependence or DSM-5 AUD and 1616 were alcohol-exposed controls aged ≥21 years with no history of AUD or drug dependence. Further, 4842 individuals had a positive first-degree family history of AUD (FH+), 2722 had an unknown family history (FH?), and 336 had a negative family history (FH-). PRS were derived from a meta-analysis of a genome-wide association study of AUD from the Million Veteran Program and scores from the problem subscale of the Alcohol Use Disorders Identification Test in the UK Biobank. We used mixed models to test the association between PRS and risk for AUD and AUD severity. RESULTS AUD cases had higher PRS than controls with PRS increasing as the number of DSM-5 diagnostic criteria increased (p-values ≤ 1.85E-05 ) in the full COGA sample, the FH+ subsample, and the FH? subsample. Individuals in the top decile of PRS had odds ratios (OR) for developing AUD of 1.96 (95% CI: 1.54 to 2.51, p-value = 7.57E-08 ) and 1.86 (95% CI: 1.35 to 2.56, p-value = 1.32E-04 ) in the full sample and the FH+ subsample, respectively. These values are comparable to previously reported ORs for a first-degree family history (1.91 to 2.38) estimated from national surveys. PRS were also significantly associated with the DSM-5 AUD diagnostic criterion count in the full sample, the FH+ subsample, and the FH? subsample (p-values ≤6.7E-11 ). PRS remained significantly associated with AUD and AUD severity after accounting for a family history of AUD (p-values ≤6.8E-10 ). CONCLUSIONS Both PRS and family history were associated with AUD and AUD severity, indicating that these risk measures assess distinct aspects of liability to AUD traits.
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Affiliation(s)
- Dongbing Lai
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Emma C. Johnson
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO
| | - Sarah Colbert
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO
| | - Gayathri Pandey
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, State University of New York, Downstate Medical Center, Brooklyn, NY
| | - Grace Chan
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT
- Department of Psychiatry, University of Iowa Roy J and Lucille A Carver College of Medicine, Iowa City, IA
| | - Lance Bauer
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT
| | - Meredith W. Francis
- The Brown School of Social Work, Washington University School of Medicine, St. Louis, MO
| | - Victor Hesselbrock
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT
| | - Chella Kamarajan
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, State University of New York, Downstate Medical Center, Brooklyn, NY
| | - John Kramer
- Department of Psychiatry, University of Iowa Roy J and Lucille A Carver College of Medicine, Iowa City, IA
| | - Weipeng Kuang
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, State University of New York, Downstate Medical Center, Brooklyn, NY
| | - Sally Kuo
- Department of Psychology, Virginia Commonwealth University, Richmond, VA
| | - Samuel Kuperman
- Department of Psychiatry, University of Iowa Roy J and Lucille A Carver College of Medicine, Iowa City, IA
| | - Yunlong Liu
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Vivia McCutcheon
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO
| | - Zhiping Pang
- Department of Neuroscience and Cell Biology, Child Health Institute of New Jersey, Rutgers-Robert Wood Johnson Medical School, New Brunswick, NJ
| | - Martin H. Plawecki
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN
| | - Marc Schuckit
- Department of Psychiatry, University of California, San Diego Medical School, San Diego, CA
| | - Jay Tischfield
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers University, Piscataway, NJ
| | - Leah Wetherill
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Yong Zang
- Department of Biostatistics and Health Data Science, 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, State University of New York, Downstate Medical Center, Brooklyn, 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
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10
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Horton DB, Barrett ES, Roy J, Gennaro ML, Andrews T, Greenberg P, Bruiners N, Datta P, Ukey R, Velusamy SK, Fine D, Honnen WJ, Yin YS, Pinter A, Brooks A, Tischfield J, Hussain S, Jagpal S, Swaminathan S, Parmar V, Reilly N, Gaur S, Panettieri RA, Carson JL, Blaser MJ. Determinants and dynamics of SARS-CoV-2 infection in a diverse population: 6-month evaluation of a prospective cohort study. J Infect Dis 2021; 224:1345-1356. [PMID: 34387310 PMCID: PMC8436370 DOI: 10.1093/infdis/jiab411] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Accepted: 08/12/2021] [Indexed: 11/24/2022] Open
Abstract
Background We studied risk factors, antibodies, and symptoms of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in a diverse, ambulatory population. Methods A prospective cohort (n = 831) previously undiagnosed with SARS-CoV-2 infection underwent serial testing (SARS-CoV-2 polymerase chain reaction, immunoglobulin G [IgG]) for 6 months. Results Ninety-three participants (11.2%) tested SARS-CoV-2-positive: 14 (15.1%) asymptomatic, 24 (25.8%) severely symptomatic. Healthcare workers (n = 548) were more likely to become infected (14.2% vs 5.3%; adjusted odds ratio, 2.1; 95% confidence interval, 1.4–3.3) and severely symptomatic (29.5% vs 6.7%). IgG antibodies were detected after 79% of asymptomatic infections, 89% with mild-moderate symptoms, and 96% with severe symptoms. IgG trajectories after asymptomatic infections (slow increases) differed from symptomatic infections (early peaks within 2 months). Most participants (92%) had persistent IgG responses (median 171 days). In multivariable models, IgG titers were positively associated with symptom severity, certain comorbidities, and hospital work. Dyspnea and neurologic changes (including altered smell/taste) lasted ≥ 120 days in ≥ 10% of affected participants. Prolonged symptoms (frequently more severe) corresponded to higher antibody levels. Conclusions In a prospective, ethnically diverse cohort, symptom severity correlated with the magnitude and trajectory of IgG production. Symptoms frequently persisted for many months after infection. Clinical Trials Registration. NCT04336215.
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Affiliation(s)
- Daniel B Horton
- Department of Pediatrics, Rutgers Robert Wood Johnson Medical School; New Brunswick, NJ, USA.,Rutgers Center for Pharmacoepidemiology and Treatment Science, Institute for Health, Health Care Policy and Aging Research; New Brunswick, NJ, USA.,Department of Biostatistics and Epidemiology; Rutgers School of Public Health; Piscataway, NJ, USA
| | - Emily S Barrett
- Department of Biostatistics and Epidemiology; Rutgers School of Public Health; Piscataway, NJ, USA.,Environmental and Occupational Health Sciences Institute; Rutgers University; Piscataway, NJ, USA
| | - Jason Roy
- Department of Biostatistics and Epidemiology; Rutgers School of Public Health; Piscataway, NJ, USA
| | - Maria Laura Gennaro
- Public Health Research Institute; Department of Medicine; New Jersey Medical School; Rutgers University; Newark, NJ, USA
| | - Tracy Andrews
- Department of Biostatistics and Epidemiology; Rutgers School of Public Health; Piscataway, NJ, USA
| | - Patricia Greenberg
- Department of Biostatistics and Epidemiology; Rutgers School of Public Health; Piscataway, NJ, USA
| | - Natalie Bruiners
- Public Health Research Institute; Department of Medicine; New Jersey Medical School; Rutgers University; Newark, NJ, USA
| | - Pratik Datta
- Public Health Research Institute; Department of Medicine; New Jersey Medical School; Rutgers University; Newark, NJ, USA
| | - Rahul Ukey
- Public Health Research Institute; Department of Medicine; New Jersey Medical School; Rutgers University; Newark, NJ, USA
| | | | - Daniel Fine
- Rutgers School of Dental Medicine; Rutgers University; Newark, NJ, USA
| | - William J Honnen
- Public Health Research Institute; Department of Medicine; New Jersey Medical School; Rutgers University; Newark, NJ, USA
| | - Yue Sandra Yin
- Center for Advanced Biotechnology and Medicine; Rutgers University; Piscataway, NJ, USA
| | - Abraham Pinter
- Public Health Research Institute; Department of Medicine; New Jersey Medical School; Rutgers University; Newark, NJ, USA
| | - Andrew Brooks
- Infinity Biologix® and Human Genetics Institute of NJ and Department of Genetics, Rutgers University; Piscataway, NJ, USA
| | - Jay Tischfield
- Infinity Biologix® and Human Genetics Institute of NJ and Department of Genetics, Rutgers University; Piscataway, NJ, USA
| | - Sabiha Hussain
- Department of Medicine, Rutgers Robert Wood Johnson Medical School; New Brunswick, NJ, USA
| | - Sugeet Jagpal
- Department of Medicine, Rutgers Robert Wood Johnson Medical School; New Brunswick, NJ, USA
| | - Shobha Swaminathan
- Public Global Health Institute; Department of Medicine; New Jersey Medical School; Rutgers University; Newark, NJ, USA
| | - Veenat Parmar
- Department of Medicine, Rutgers Robert Wood Johnson Medical School; New Brunswick, NJ, USA
| | - Nancy Reilly
- Rutgers Institute for Translational Medicine & Science; New Brunswick, NJ, USA
| | - Sunanda Gaur
- Department of Pediatrics, Rutgers Robert Wood Johnson Medical School; New Brunswick, NJ, USA
| | | | - Jeffrey L Carson
- Department of Medicine, Rutgers Robert Wood Johnson Medical School; New Brunswick, NJ, USA
| | - Martin J Blaser
- Center for Advanced Biotechnology and Medicine; Rutgers University; Piscataway, NJ, USA
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11
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Johnson EC, Aliev F, Meyers JL, Salvatore JE, Tillman R, Chang Y, Docherty AR, Bogdan R, Acion L, Chan G, Chorlian DB, Kamarajan C, Kuperman S, Pandey A, Plawecki MH, Schuckit M, Tischfield J, Edenberg HJ, Bucholz KK, Nurnberger JI, Porjesz B, Hesselbrock V, Dick DM, Kramer JR, Agrawal A. Associations between Suicidal Thoughts and Behaviors and Genetic Liability for Cognitive Performance, Depression, and Risk-Taking in a High-Risk Sample. Complex Psychiatry 2021; 7:34-44. [PMID: 35592092 PMCID: PMC8443930 DOI: 10.1159/000517169] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Accepted: 05/11/2021] [Indexed: 11/10/2023] Open
Abstract
Background Suicidal thoughts and behaviors (STBs) and nonsuicidal self-injury (NSSI) behaviors are moderately heritable and may reflect an underlying predisposition to depression, impulsivity, and cognitive vulnerabilities to varying degrees. Objectives We aimed to estimate the degrees of association between genetic liability to depression, impulsivity, and cognitive performance and STBs and NSSI in a high-risk sample. Methods We used data on 7,482 individuals of European ancestry and 3,359 individuals of African ancestry from the Collaborative Study on the Genetics of Alcoholism to examine the links between polygenic scores (PGSs) for depression, impulsivity/risk-taking, and cognitive performance with 3 self-reported indices of STBs (suicidal ideation, persistent suicidal ideation defined as ideation occurring on at least 7 consecutive days, and suicide attempt) and with NSSI. Results The PGS for depression was significantly associated with all 4 primary self-harm measures, explaining 0.6-2.5% of the variance. The PGS for risk-taking behaviors was also associated with all 4 self-harm behaviors in baseline models, but was no longer associated after controlling for a lifetime measure of DSM-IV alcohol dependence and abuse symptom counts. Polygenic predisposition for cognitive performance was negatively associated with suicide attempts (q = 3.8e-4) but was not significantly associated with suicidal ideation nor NSSI. We did not find any significant associations in the African ancestry subset, likely due to smaller sample sizes. Conclusions Our results encourage the study of STB as transdiagnostic outcomes that show genetic overlap with a range of risk factors.
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Affiliation(s)
- Emma C. Johnson
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Fazil Aliev
- Department of Psychology, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Jacquelyn L. Meyers
- Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, New York, USA
- Henri Begleiter Neurodynamics Lab, SUNY Downstate Health Sciences University, Brooklyn, New York, USA
| | - Jessica E. Salvatore
- Department of Psychology, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Rebecca Tillman
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Yoonhoo Chang
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Anna R. Docherty
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Ryan Bogdan
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Laura Acion
- Calculus Institute, University of Buenos Aires, Buenos Aires, Argentina
| | - Grace Chan
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, Connecticut, USA
| | - David B. Chorlian
- Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, New York, USA
| | - Chella Kamarajan
- Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, New York, USA
- Henri Begleiter Neurodynamics Lab, SUNY Downstate Health Sciences University, Brooklyn, New York, USA
| | - Samuel Kuperman
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, Iowa, USA
| | - Ashwini Pandey
- Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, New York, USA
| | - Martin H. Plawecki
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Marc Schuckit
- Department of Psychiatry, University of California San Diego, San Diego, California, USA
| | - Jay Tischfield
- Department of Genetics, Rutgers University, Piscataway, New Jersey, USA
| | - Howard J. Edenberg
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Kathleen K. Bucholz
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA
| | - John I. Nurnberger
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Bernice Porjesz
- Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, New York, USA
- Henri Begleiter Neurodynamics Lab, SUNY Downstate Health Sciences University, Brooklyn, New York, USA
| | - Victor Hesselbrock
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, Connecticut, USA
| | - Danielle M. Dick
- Department of Psychology, Virginia Commonwealth University, Richmond, Virginia, USA
- Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
| | - John R. Kramer
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, Iowa, USA
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA
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12
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Su J, Kuo SIC, Aliev F, Chan G, Edenberg HJ, Kamarajan C, McCutcheon VV, Meyers JL, Schuckit M, Tischfield J, Dick DM. The associations between polygenic risk, sensation seeking, social support, and alcohol use in adulthood. J Abnorm Psychol 2021; 130:525-536. [PMID: 34472888 PMCID: PMC10882995 DOI: 10.1037/abn0000568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Genetic predispositions play an important role in alcohol use. Understanding the psychosocial mechanisms through which genetic risk unfolds to influence alcohol use outcomes is critical for identifying modifiable targets and developing prevention and intervention efforts. In this study, we examined the role of sensation seeking and social support from family and friends in linking genetic risk to alcohol use. We also examined the role of social support in moderating the associations between genetic risk and sensation seeking and alcohol use. Data were drawn from a sample of 2,836 European American adults from the Collaborative Study on the Genetics of Alcoholism (46% male, mean age = 35.65, standard deviation [SD] = 10.78). Results from path analysis indicated that genome-wide polygenic scores for alcohol consumption (alc-GPS) were associated with higher sensation seeking, which in turn was associated with higher levels of alcohol use. alc-GPS was also associated with higher alcohol use indirectly via lower levels of family support. In addition, high friend support attenuated the association between alc-GPS and sensation seeking and alcohol use. The pattern of associations was similar for males and females, with some differences in the associations between social support and alcohol use observed across age. Our findings highlight the important role of intermediate phenotypes and gene-environment interplay in the pathways of risk from genetic predispositions to complex alcohol use outcomes. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
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Affiliation(s)
- Jinni Su
- Department of Psychology, Arizona State University
| | | | - Fazil Aliev
- Department of Psychology, Virginia Commonwealth University
- Faculty of Business, Karabuk University, Turkey
| | - Grace Chan
- Department of Psychiatry, University of Connecticut
| | | | - Chella Kamarajan
- Department of Psychiatry, State University of New York Downstate Medical Center
| | | | - Jacquelyn L. Meyers
- Department of Psychiatry, State University of New York Downstate Medical Center
| | - Marc Schuckit
- Department of Psychiatry, University of California at San Diego
| | | | - Danielle M. Dick
- Department of Psychology, Virginia Commonwealth University
- Department of Human and Molecular Genetics, Virginia Commonwealth University
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13
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Rao X, Thapa KS, Chen AB, Lin H, Gao H, Reiter JL, Hargreaves KA, Ipe J, Lai D, Xuei X, Wang Y, Gu H, Kapoor M, Farris SP, Tischfield J, Foroud T, Goate AM, Skaar TC, Mayfield RD, Edenberg HJ, Liu Y. Allele-specific expression and high-throughput reporter assay reveal functional genetic variants associated with alcohol use disorders. Mol Psychiatry 2021; 26:1142-1151. [PMID: 31477794 PMCID: PMC7050407 DOI: 10.1038/s41380-019-0508-z] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2019] [Revised: 07/09/2019] [Accepted: 07/24/2019] [Indexed: 11/15/2022]
Abstract
Genome-wide association studies (GWAS) of complex traits, such as alcohol use disorders (AUD), usually identify variants in non-coding regions and cannot by themselves distinguish whether the associated variants are functional or in linkage disequilibrium with the functional variants. Transcriptome studies can identify genes whose expression differs between alcoholics and controls. To test which variants associated with AUD may cause expression differences, we integrated data from deep RNA-seq and GWAS of four postmortem brain regions from 30 subjects with AUD and 30 controls to analyze allele-specific expression (ASE). We identified 88 genes with differential ASE in subjects with AUD compared to controls. Next, to test one potential mechanism contributing to the differential ASE, we analyzed single nucleotide polymorphisms (SNPs) in the 3' untranslated regions (3'UTR) of these genes. Of the 88 genes with differential ASE, 61 genes contained 437 SNPs in the 3'UTR with at least one heterozygote among the subjects studied. Using a modified PASSPORT-seq (parallel assessment of polymorphisms in miRNA target-sites by sequencing) assay, we identified 25 SNPs that affected RNA levels in a consistent manner in two neuroblastoma cell lines, SH-SY5Y and SK-N-BE(2). Many of these SNPs are in binding sites of miRNAs and RNA-binding proteins, indicating that these SNPs are likely causal variants of AUD-associated differential ASE. In sum, we demonstrate that a combination of computational and experimental approaches provides a powerful strategy to uncover functionally relevant variants associated with the risk for AUD.
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Affiliation(s)
- Xi Rao
- Department of Medical & Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Kriti S Thapa
- Department of Biochemistry & Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Andy B Chen
- Department of Medical & Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Hai Lin
- Department of Medical & Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Hongyu Gao
- Department of Medical & Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Jill L Reiter
- Department of Medical & Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Katherine A Hargreaves
- Division of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Joseph Ipe
- Division of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Dongbing Lai
- Department of Medical & Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Xiaoling Xuei
- Department of Medical & Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Yue Wang
- Department of Medical & Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Hongmei Gu
- Department of Biochemistry & Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Manav Kapoor
- Ronald M. Loeb Center for Alzheimer's Disease, Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sean P Farris
- Waggoner Center for Alcohol and Addiction Research, University of Texas at Austin, Austin, TX, USA
| | - Jay Tischfield
- Department of Genetics, Rutgers University, Piscataway, NJ, USA
| | - Tatiana Foroud
- Department of Medical & Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Alison M Goate
- Ronald M. Loeb Center for Alzheimer's Disease, Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Todd C Skaar
- Division of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
| | - R Dayne Mayfield
- Waggoner Center for Alcohol and Addiction Research, University of Texas at Austin, Austin, TX, USA
| | - Howard J Edenberg
- Department of Medical & Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Biochemistry & Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Yunlong Liu
- Department of Medical & Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA.
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14
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Lai D, Kapoor M, Wetherill L, Schwandt M, Ramchandani VA, Goldman D, Chao M, Almasy L, Bucholz K, Hart RP, Kamarajan C, Meyers JL, Nurnberger JI, Tischfield J, Edenberg HJ, Schuckit M, Goate A, Scott DM, Porjesz B, Agrawal A, Foroud T. Genome-wide admixture mapping of DSM-IV alcohol dependence, criterion count, and the self-rating of the effects of ethanol in African American populations. Am J Med Genet B Neuropsychiatr Genet 2021; 186:151-161. [PMID: 32652861 PMCID: PMC9376735 DOI: 10.1002/ajmg.b.32805] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 04/06/2020] [Accepted: 06/01/2020] [Indexed: 12/15/2022]
Abstract
African Americans (AA) have lower prevalence of alcohol dependence and higher subjective response to alcohol than European Americans. Genome-wide association studies (GWAS) have identified genes/variants associated with alcohol dependence specifically in AA; however, the sample sizes are still not large enough to detect variants with small effects. Admixture mapping is an alternative way to identify alcohol dependence genes/variants that may be unique to AA. In this study, we performed the first admixture mapping of DSM-IV alcohol dependence diagnosis, DSM-IV alcohol dependence criterion count, and two scores from the self-rating of effects of ethanol (SRE) as measures of response to alcohol: the first five times of using alcohol (SRE-5) and average of SRE across three times (SRE-T). Findings revealed a region on chromosome 4 that was genome-wide significant for SRE-5 (p value = 4.18E-05). Fine mapping did not identify a single causal variant to be associated with SRE-5; instead, conditional analysis concluded that multiple variants collectively explained the admixture mapping signal. PPARGC1A, a gene that has been linked to alcohol consumption in previous studies, is located in this region. Our finding suggests that admixture mapping is a useful tool to identify genes/variants that may have been missed by current GWAS approaches in admixed populations.
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Affiliation(s)
- Dongbing Lai
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Manav Kapoor
- Department of Neuroscience, Icahn School of Medicine at Mt. Sinai, New York, NY
| | - Leah Wetherill
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Melanie Schwandt
- Office of the Clinical Director, National Institute on Alcohol Abuse & Alcoholism, Bethesda, MD
| | - Vijay A. Ramchandani
- Section on Human Psychopharmacology, Division of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD
| | - David Goldman
- Office of the Clinical Director, National Institute on Alcohol Abuse & Alcoholism, Bethesda, MD
| | - Michael Chao
- Department of Neuroscience, Icahn School of Medicine at Mt. Sinai, New York, NY
| | - Laura Almasy
- Department of Biomedical and Health Informatics, Children’s Hospital of Philadelphia and University of Pennsylvania School of Medicine, Philadelphia, PA
| | - Kathleen Bucholz
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO
| | - Ronald P. Hart
- Department of Cell Biology and Neuroscience, Rutgers University, Piscataway, NJ
| | - Chella Kamarajan
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, State University of New York, Downstate Medical Center, Brooklyn, NY
| | - Jacquelyn L. Meyers
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, State University of New York, Downstate Medical Center, Brooklyn, 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
| | - Jay Tischfield
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers University, Piscataway, NJ
| | - 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
| | - Marc Schuckit
- Department of Psychiatry, University of California, San Diego Medical School, San Diego, CA
| | - Alison Goate
- Department of Neuroscience, Icahn School of Medicine at Mt. Sinai, New York, NY
| | - Denise M. Scott
- Departments of Pediatrics and Human Genetics, Howard University, Washington, DC
| | - Bernice Porjesz
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, State University of New York, Downstate Medical Center, Brooklyn, 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
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15
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Tsetsos F, Yu D, Sul JH, Huang AY, Illmann C, Osiecki L, Darrow SM, Hirschtritt ME, Greenberg E, Muller-Vahl KR, Stuhrmann M, Dion Y, Rouleau GA, Aschauer H, Stamenkovic M, Schlögelhofer M, Sandor P, Barr CL, Grados MA, Singer HS, Nöthen MM, Hebebrand J, Hinney A, King RA, Fernandez TV, Barta C, Tarnok Z, Nagy P, Depienne C, Worbe Y, Hartmann A, Budman CL, Rizzo R, Lyon GJ, McMahon WM, Batterson JR, Cath DC, Malaty IA, Okun MS, Berlin C, Woods DW, Lee PC, Jankovic J, Robertson MM, Gilbert DL, Brown LW, Coffey BJ, Dietrich A, Hoekstra PJ, Kuperman S, Zinner SH, Wagner M, Knowles JA, Jeremy Willsey A, Tischfield JA, Heiman GA, Cox NJ, Freimer NB, Neale BM, Davis LK, Coppola G, Mathews CA, Scharf JM, Paschou P, Barr CL, Batterson JR, Berlin C, Budman CL, Cath DC, Coppola G, Cox NJ, Darrow S, Davis LK, Dion Y, Freimer NB, Grados MA, Greenberg E, Hirschtritt ME, Huang AY, Illmann C, King RA, Kurlan R, Leckman JF, Lyon GJ, Malaty IA, Mathews CA, McMahon WM, Neale BM, Okun MS, Osiecki L, Robertson MM, Rouleau GA, Sandor P, Scharf JM, Singer HS, Smit JH, Sul JH, Yu D, Aschauer HAH, Barta C, Budman CL, Cath DC, Depienne C, Hartmann A, Hebebrand J, Konstantinidis A, Mathews CA, Müller-Vahl K, Nagy P, Nöthen MM, Paschou P, Rizzo R, Rouleau GA, Sandor P, Scharf JM, Schlögelhofer M, Stamenkovic M, Stuhrmann M, Tsetsos F, Tarnok Z, Wolanczyk T, Worbe Y, Brown L, Cheon KA, Coffey BJ, Dietrich A, Fernandez TV, Garcia-Delgar B, Gilbert D, Grice DE, Hagstrøm J, Hedderly T, Heiman GA, Heyman I, Hoekstra PJ, Huyser C, Kim YK, Kim YS, King RA, Koh YJ, Kook S, Kuperman S, Leventhal BL, Madruga-Garrido M, Mir P, Morer A, Münchau A, Plessen KJ, Roessner V, Shin EY, Song DH, Song J, Tischfield JA, Willsey AJ, Zinner S, Aschauer H, Barr CL, Barta C, Batterson JR, Berlin C, Brown L, Budman CL, Cath DC, Coffey BJ, Coppola G, Cox NJ, Darrow S, Davis LK, Depienne C, Dietrich A, Dion Y, Fernandez T, Freimer NB, Gilbert D, Grados MA, Greenberg E, Hartmann A, Hebebrand J, Heiman G, Hirschtritt ME, Hoekstra P, Huang AY, Illmann C, Jankovic J, King RA, Kuperman S, Lee PC, Lyon GJ, Malaty IA, Mathews CA, McMahon WM, Müller-Vahl K, Nagy P, Neale BM, Nöthen MM, Okun MS, Osiecki L, Paschou P, Rizzo R, Robertson MM, Rouleau GA, Sandor P, Scharf JM, Schlögelhofer M, Singer HS, Stamenkovic M, Stuhrmann M, Sul JH, Tarnok Z, Tischfield J, Tsetsos F, Willsey AJ, Woods D, Worbe Y, Yu D, Zinner S. Synaptic processes and immune-related pathways implicated in Tourette syndrome. Transl Psychiatry 2021; 11:56. [PMID: 33462189 PMCID: PMC7814139 DOI: 10.1038/s41398-020-01082-z] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 09/18/2020] [Accepted: 10/21/2020] [Indexed: 12/23/2022] Open
Abstract
Tourette syndrome (TS) is a neuropsychiatric disorder of complex genetic architecture involving multiple interacting genes. Here, we sought to elucidate the pathways that underlie the neurobiology of the disorder through genome-wide analysis. We analyzed genome-wide genotypic data of 3581 individuals with TS and 7682 ancestry-matched controls and investigated associations of TS with sets of genes that are expressed in particular cell types and operate in specific neuronal and glial functions. We employed a self-contained, set-based association method (SBA) as well as a competitive gene set method (MAGMA) using individual-level genotype data to perform a comprehensive investigation of the biological background of TS. Our SBA analysis identified three significant gene sets after Bonferroni correction, implicating ligand-gated ion channel signaling, lymphocytic, and cell adhesion and transsynaptic signaling processes. MAGMA analysis further supported the involvement of the cell adhesion and trans-synaptic signaling gene set. The lymphocytic gene set was driven by variants in FLT3, raising an intriguing hypothesis for the involvement of a neuroinflammatory element in TS pathogenesis. The indications of involvement of ligand-gated ion channel signaling reinforce the role of GABA in TS, while the association of cell adhesion and trans-synaptic signaling gene set provides additional support for the role of adhesion molecules in neuropsychiatric disorders. This study reinforces previous findings but also provides new insights into the neurobiology of TS.
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Grants
- R01 NS102371 NINDS NIH HHS
- R01 NS096207 NINDS NIH HHS
- R01 NS096008 NINDS NIH HHS
- R01 NS105746 NINDS NIH HHS
- R01 MH115958 NIMH NIH HHS
- K08 MH099424 NIMH NIH HHS
- K02 NS085048 NINDS NIH HHS
- R01 MH115963 NIMH NIH HHS
- U01 HG009086 NHGRI NIH HHS
- R56 MH120736 NIMH NIH HHS
- U54 MD010722 NIMHD NIH HHS
- UL1 TR001863 NCATS NIH HHS
- R01 DC016977 NIDCD NIH HHS
- DP2 HD098859 NICHD NIH HHS
- R01 MH115961 NIMH NIH HHS
- U24 MH068457 NIMH NIH HHS
- R25 NS108939 NINDS NIH HHS
- R01 MH114927 NIMH NIH HHS
- R01 NR014852 NINR NIH HHS
- R21 HG010652 NHGRI NIH HHS
- R01 MH113362 NIMH NIH HHS
- RM1 HG009034 NHGRI NIH HHS
- FT is co-financed by Greece and the European Union (European Social Fund- ESF) through the Operational Programme «Human Resources Development, Education and Lifelong Learning» in the context of the project “Reinforcement of Postdoctoral Researchers - 2nd Cycle” (MIS-5033021), implemented by the State Scholarships Foundation (IKY)
- KMV has received financial or material research support from the EU (FP7-HEALTH-2011 No. 278367, FP7-PEOPLE-2012-ITN No. 316978), the German Research Foundation (DFG: GZ MU 1527/3-1), the German Ministry of Education and Research (BMBF: 01KG1421), the National Institute of Mental Health (NIMH), the Tourette Gesellschaft Deutschland e.V., the Else-Kroner-Fresenius-Stiftung, and GW, Almirall, Abide Therapeutics, and Therapix Biosiences and has received consultant’s honoraria from Abide Therapeutics, Tilray, Resalo Vertrieb GmbH, and Wayland Group, speaker’s fees from Tilray and Cogitando GmbH, and royalties from Medizinisch Wissenschaftliche Verlagsgesellschaft Berlin, Elsevier, and Kohlhammer; and is a consultant for Nuvelution TS Pharma Inc., Zynerba Pharmaceuticals, Resalo Vertrieb GmbH, CannaXan GmbH, Therapix Biosiences, Syqe, Nomovo Pharma, and Columbia Care.
- MMN has received fees for memberships in Scientific Advisory Boards from the Lundbeck Foundation and the Robert-Bosch-Stiftung, and for membership in the Medical-Scientific Editorial Office of the Deutsches Ärzteblatt. MMN was reimbursed travel expenses for a conference participation by Shire Deutschland GmbH. MMN receives salary payments from Life & Brain GmbH and holds shares in Life & Brain GmbH. All this concerned activities outside the submitted work.
- IM has participated in research funded by the Parkinson Foundation, Tourette Association, Dystonia Coalition, AbbVie, Biogen, Boston Scientific, Eli Lilly, Impax, Neuroderm, Prilenia, Revance, Teva but has no owner interest in any pharmaceutical company. She has received travel compensation or honoraria from the Tourette Association of America, Parkinson Foundation, International Association of Parkinsonism and Related Disorders, Medscape, and Cleveland Clinic, and royalties for writing a book with Robert rose publishers.
- MSO serves as a consultant for the Parkinson’s Foundation, and has received research grants from NIH, Parkinson’s Foundation, the Michael J. Fox Foundation, the Parkinson Alliance, Smallwood Foundation, the Bachmann-Strauss Foundation, the Tourette Syndrome Association, and the UF Foundation. MSO’s DBS research is supported by: NIH R01 NR014852 and R01NS096008. MSO is PI of the NIH R25NS108939 Training Grant. MSO has received royalties for publications with Demos, Manson, Amazon, Smashwords, Books4Patients, Perseus, Robert Rose, Oxford and Cambridge (movement disorders books). MSO is an associate editor for New England Journal of Medicine Journal Watch Neurology. MSO has participated in CME and educational activities on movement disorders sponsored by the Academy for Healthcare Learning, PeerView, Prime, QuantiaMD, WebMD/Medscape, Medicus, MedNet, Einstein, MedNet, Henry Stewart, American Academy of Neurology, Movement Disorders Society and by Vanderbilt University. The institution and not MSO receives grants from Medtronic, Abbvie, Boston Scientific, Abbott and Allergan and the PI has no financial interest in these grants. MSO has participated as a site PI and/or co-I for several NIH, foundation, and industry sponsored trials over the years but has not received honoraria. Research projects at the University of Florida receive device and drug donations.
- DW receives royalties for books on Tourette Syndrome with Guilford Press, Oxford University Press, and Springer Press.
- BMN is a member of the scientific advisory board at Deep Genomics and consultant for Camp4 Therapeutics, Takeda Pharmaceutical and Biogen.
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Affiliation(s)
- Fotis Tsetsos
- Department of Molecular Biology and Genetics, Democritus University of Thrace, Alexandroupolis, Greece
| | - Dongmei Yu
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jae Hoon Sul
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Alden Y Huang
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
- Bioinformatics Interdepartmental Program, University of California, Los Angeles, CA, USA
| | - Cornelia Illmann
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Lisa Osiecki
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Sabrina M Darrow
- Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Matthew E Hirschtritt
- Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Erica Greenberg
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Kirsten R Muller-Vahl
- Clinic of Psychiatry, Social Psychiatry, and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - Manfred Stuhrmann
- Institute of Human Genetics, Hannover Medical School, Hannover, Germany
| | - Yves Dion
- McGill University Health Center, University of Montreal, McGill University Health Centre, Montreal, Canada
| | - Guy A Rouleau
- Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
| | - Harald Aschauer
- Department of Psychiatry and Psychotherapy, Medical University Vienna, Vienna, Austria
- Biopsychosocial Corporation, Vienna, Austria
| | - Mara Stamenkovic
- Department of Psychiatry and Psychotherapy, Medical University Vienna, Vienna, Austria
| | | | - Paul Sandor
- University Health Network, Youthdale Treatment Centres, and University of Toronto, Toronto, Canada
| | - Cathy L Barr
- Krembil Research Institute, University Health Network, Hospital for Sick Children, and University of Toronto, Toronto, Canada
| | - Marco A Grados
- Johns Hopkins University School of Medicine and the Kennedy Krieger Institute, Baltimore, MD, USA
| | - Harvey S Singer
- Johns Hopkins University School of Medicine and the Kennedy Krieger Institute, Baltimore, MD, USA
| | - Markus M Nöthen
- Institute of Human Genetics, University Hospital Bonn, University of Bonn Medical School, Bonn, Germany
| | - Johannes Hebebrand
- Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Anke Hinney
- Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Robert A King
- Yale Child Study Center and the Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Thomas V Fernandez
- Yale Child Study Center and the Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Csaba Barta
- Institute of Medical Chemistry, Molecular Biology, and Pathobiochemistry, Semmelweis University, Budapest, Hungary
| | - Zsanett Tarnok
- Vadaskert Child and Adolescent Psychiatric Hospital, Budapest, Hungary
| | - Peter Nagy
- Vadaskert Child and Adolescent Psychiatric Hospital, Budapest, Hungary
| | - Christel Depienne
- Institute of Human Genetics, University Hospital Essen, University Duisburg-Essen, Essen, Germany
- Sorbonne Universités, UPMC Université Paris 06, UMR S 1127, CNRS UMR 7225, ICM, Paris, France
| | - Yulia Worbe
- Sorbonne Universités, UPMC Université Paris 06, UMR S 1127, CNRS UMR 7225, ICM, Paris, France
- French Reference Centre for Gilles de la Tourette Syndrome, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
- Assistance Publique-Hôpitaux de Paris, Department of Neurology, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
- Assistance Publique Hôpitaux de Paris, Hopital Saint Antoine, Paris, France
| | - Andreas Hartmann
- Sorbonne Universités, UPMC Université Paris 06, UMR S 1127, CNRS UMR 7225, ICM, Paris, France
- French Reference Centre for Gilles de la Tourette Syndrome, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
- Assistance Publique-Hôpitaux de Paris, Department of Neurology, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
| | - Cathy L Budman
- Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Renata Rizzo
- Child Neuropsychiatry, Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
| | - Gholson J Lyon
- Jervis Clinic, NYS Institute for Basic Research in Developmental Disabilities (IBR), Staten Island, NY, USA
| | - William M McMahon
- Department of Psychiatry, University of Utah, Salt Lake City, UT, USA
| | | | - Danielle C Cath
- Department of Psychiatry, University Medical Center Groningen and Rijksuniversity Groningen, and Drenthe Mental Health Center, Groningen, the Netherlands
| | - Irene A Malaty
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida Health, Gainesville, FL, USA
| | - Michael S Okun
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida Health, Gainesville, FL, USA
| | - Cheston Berlin
- Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Douglas W Woods
- Marquette University and University of Wisconsin-Milwaukee, Milwaukee, WI, USA
| | - Paul C Lee
- Tripler Army Medical Center and University of Hawaii John A. Burns School of Medicine, Honolulu, HI, USA
| | - Joseph Jankovic
- Parkinson's Disease Center and Movement Disorders Clinic, Department of Neurology, Baylor College of Medicine, Houston, TX, USA
| | - Mary M Robertson
- Division of Psychiatry, Department of Neuropsychiatry, University College London, London, UK
| | - Donald L Gilbert
- Division of Pediatric Neurology, Cincinnati Children's Hospital Medical Center; Department of Pediatrics, University of Cincinnati, Cincinnati, USA
| | | | - Barbara J Coffey
- Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Andrea Dietrich
- Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Pieter J Hoekstra
- Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Samuel Kuperman
- University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Samuel H Zinner
- Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Michael Wagner
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | | | - A Jeremy Willsey
- Institute for Neurodegenerative Diseases, UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Jay A Tischfield
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers, the State University of New Jersey, Piscataway, NJ, USA
| | - Gary A Heiman
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers, the State University of New Jersey, Piscataway, NJ, USA
| | - Nancy J Cox
- Division of Genetic Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Nelson B Freimer
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Benjamin M Neale
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Lea K Davis
- Division of Genetic Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Giovanni Coppola
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Carol A Mathews
- Department of Psychiatry, Genetics Institute, University of Florida, Gainesville, FL, USA
| | - Jeremiah M Scharf
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Neurology, Brigham and Women's Hospital, and the Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Peristera Paschou
- Department of Biological Sciences, Purdue University, West Lafayette, IN, USA.
| | - Cathy L Barr
- Krembil Research Institute, University Health Network, Hospital for Sick Children, and University of Toronto, Toronto, Canada
| | | | - Cheston Berlin
- Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Cathy L Budman
- Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Danielle C Cath
- Department of Psychiatry, University Medical Center Groningen and Rijksuniversity Groningen, and Drenthe Mental Health Center, Groningen, the Netherlands
| | - Giovanni Coppola
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Nancy J Cox
- Division of Genetic Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Sabrina Darrow
- Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Lea K Davis
- Division of Genetic Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Yves Dion
- McGill University Health Center, University of Montreal, McGill University Health Centre, Montreal, Canada
| | - Nelson B Freimer
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Marco A Grados
- Johns Hopkins University School of Medicine and the Kennedy Krieger Institute, Baltimore, MD, USA
| | - Erica Greenberg
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Matthew E Hirschtritt
- Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Alden Y Huang
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
- Bioinformatics Interdepartmental Program, University of California, Los Angeles, CA, USA
| | - Cornelia Illmann
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Robert A King
- Yale Child Study Center and the Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Roger Kurlan
- Atlantic Neuroscience Institute, Overlook Hospital, Summit, NJ, USA
| | - James F Leckman
- Yale Child Study Center, Yale University School of Medicine, New Haven, CT, USA
| | - Gholson J Lyon
- Jervis Clinic, NYS Institute for Basic Research in Developmental Disabilities (IBR), Staten Island, NY, USA
| | - Irene A Malaty
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida Health, Gainesville, FL, USA
| | - Carol A Mathews
- Department of Psychiatry, Genetics Institute, University of Florida, Gainesville, FL, USA
| | - William M McMahon
- Department of Psychiatry, University of Utah, Salt Lake City, UT, USA
| | - Benjamin M Neale
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Michael S Okun
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida Health, Gainesville, FL, USA
| | - Lisa Osiecki
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Mary M Robertson
- Division of Psychiatry, Department of Neuropsychiatry, University College London, London, UK
| | - Guy A Rouleau
- Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
| | - Paul Sandor
- University Health Network, Youthdale Treatment Centres, and University of Toronto, Toronto, Canada
| | - Jeremiah M Scharf
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Neurology, Brigham and Women's Hospital, and the Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Harvey S Singer
- Johns Hopkins University School of Medicine and the Kennedy Krieger Institute, Baltimore, MD, USA
| | - Jan H Smit
- Department of Psychiatry, VU UniversityMedical Center, Amsterdam, The Netherlands
| | - Jae Hoon Sul
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Dongmei Yu
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Harald Aschauer Harald Aschauer
- Department of Psychiatry and Psychotherapy, Medical University Vienna, Vienna, Austria
- Biopsychosocial Corporation, Vienna, Austria
| | - Csaba Barta
- Institute of Medical Chemistry, Molecular Biology, and Pathobiochemistry, Semmelweis University, Budapest, Hungary
| | - Cathy L Budman
- Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Danielle C Cath
- Department of Psychiatry, University Medical Center Groningen and Rijksuniversity Groningen, and Drenthe Mental Health Center, Groningen, the Netherlands
| | - Christel Depienne
- Institute of Human Genetics, University Hospital Essen, University Duisburg-Essen, Essen, Germany
- Sorbonne Universités, UPMC Université Paris 06, UMR S 1127, CNRS UMR 7225, ICM, Paris, France
| | - Andreas Hartmann
- Sorbonne Universités, UPMC Université Paris 06, UMR S 1127, CNRS UMR 7225, ICM, Paris, France
- French Reference Centre for Gilles de la Tourette Syndrome, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
- Assistance Publique-Hôpitaux de Paris, Department of Neurology, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
| | - Johannes Hebebrand
- Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Anastasios Konstantinidis
- Department of Psychiatry and Psychotherapy, Medical University Vienna, Vienna, Austria
- Center for Mental Health Muldenstrasse, BBRZMed, Linz, Austria
| | - Carol A Mathews
- Department of Psychiatry, Genetics Institute, University of Florida, Gainesville, FL, USA
| | - Kirsten Müller-Vahl
- Clinic of Psychiatry, Social Psychiatry, and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - Peter Nagy
- Vadaskert Child and Adolescent Psychiatric Hospital, Budapest, Hungary
| | - Markus M Nöthen
- Institute of Human Genetics, University Hospital Bonn, University of Bonn Medical School, Bonn, Germany
| | - Peristera Paschou
- Department of Biological Sciences, Purdue University, West Lafayette, IN, USA
| | - Renata Rizzo
- Child Neuropsychiatry, Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
| | - Guy A Rouleau
- Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
| | - Paul Sandor
- University Health Network, Youthdale Treatment Centres, and University of Toronto, Toronto, Canada
| | - Jeremiah M Scharf
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Neurology, Brigham and Women's Hospital, and the Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | | | - Mara Stamenkovic
- Department of Psychiatry and Psychotherapy, Medical University Vienna, Vienna, Austria
| | - Manfred Stuhrmann
- Institute of Human Genetics, Hannover Medical School, Hannover, Germany
| | - Fotis Tsetsos
- Department of Molecular Biology and Genetics, Democritus University of Thrace, Alexandroupolis, Greece
| | - Zsanett Tarnok
- Vadaskert Child and Adolescent Psychiatric Hospital, Budapest, Hungary
| | - Tomasz Wolanczyk
- Department of Child Psychiatry, Medical University of Warsaw, 00-001, Warsaw, Poland
| | - Yulia Worbe
- Sorbonne Universités, UPMC Université Paris 06, UMR S 1127, CNRS UMR 7225, ICM, Paris, France
- French Reference Centre for Gilles de la Tourette Syndrome, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
- Assistance Publique-Hôpitaux de Paris, Department of Neurology, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
- Assistance Publique Hôpitaux de Paris, Hopital Saint Antoine, Paris, France
| | - Lawrence Brown
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Keun-Ah Cheon
- Yonsei University College of Medicine, Yonsei Yoo & Kim Mental Health Clinic, Seoul, South Korea
| | - Barbara J Coffey
- Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Andrea Dietrich
- Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Thomas V Fernandez
- Yale Child Study Center and the Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Blanca Garcia-Delgar
- Department of Child and Adolescent Psychiatry and Psychology, Institute of Neurosciences, Hospital Clinic Universitari, Barcelona, Spain
| | - Donald Gilbert
- Division of Pediatric Neurology, Cincinnati Children's Hospital Medical Center; Department of Pediatrics, University of Cincinnati, Cincinnati, USA
| | - Dorothy E Grice
- Department of Psychiatry, Friedman Brain Institute, Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Julie Hagstrøm
- Child and Adolescent Mental Health Center, Mental Health Services, Capital Region of Denmark and University of Copenhagen, Copenhagen, Denmark
| | - Tammy Hedderly
- Tic and Neurodevelopmental Movements Service (TANDeM), Evelina Children's Hospital, Guys and St Thomas' NHS Foundation Trust, London, UK
- Paediatric Neurosciences, Kings College London, London, UK
| | - Gary A Heiman
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers, the State University of New Jersey, Piscataway, NJ, USA
| | - Isobel Heyman
- UCL Great Ormond Street Institute of Child Health, University College London, London, UK
- Psychological and Mental Health Services, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Pieter J Hoekstra
- Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Chaim Huyser
- De Bascule, Academic Centre for Child and Adolescent Psychiatry, Amsterdam, The Netherlands
| | | | - Young-Shin Kim
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, USA
| | - Robert A King
- Yale Child Study Center and the Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Yun-Joo Koh
- The Korea Institute for Children's Social Development, Rudolph Child Research Center, Seoul, South Korea
| | - Sodahm Kook
- Kangbuk Samsung Hospital, Seoul, South Korea
| | - Samuel Kuperman
- University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Bennett L Leventhal
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, USA
| | - Marcos Madruga-Garrido
- Sección de Neuropediatría, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain
| | - Pablo Mir
- Hospital Universitario Virgen del Rocío, Sevilla, Spain
- Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Astrid Morer
- Department of Child and Adolescent Psychiatry and Psychology, Institute of Neurosciences, Hospital Clínic Universitari, Barcelona, Spain
- Department of Medicine, University of Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en red de Salud Mental (CIBERSAM), Barcelona, Spain
| | - Alexander Münchau
- Institute of Systems Motor Science, University of Lübeck, Lübeck, Germany
| | - Kerstin J Plessen
- Child and Adolescent Mental Health Centre, Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Service of Child and Adolescent Psychiatry, Department of Psychiatry, University Medical Center, University of Lausanne, Lausanne, Switzerland
| | - Veit Roessner
- Department of Child and Adolescent Psychiatry, Faculty of Medicine, University Hospital Carl Gustav CarusTU Dresden, Dresden, Germany
| | - Eun-Young Shin
- Yonsei University College of Medicine, Yonsei Yoo & Kim Mental Health Clinic, Seoul, South Korea
| | - Dong-Ho Song
- Yonsei University College of Medicine, Yonsei Yoo & Kim Mental Health Clinic, Seoul, South Korea
| | - Jungeun Song
- National Health Insurance Service Ilsan Hospital, Goyang-Si, South Korea
| | - Jay A Tischfield
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers, the State University of New Jersey, Piscataway, NJ, USA
| | - A Jeremy Willsey
- Institute for Neurodegenerative Diseases, UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Samuel Zinner
- Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Harald Aschauer
- Department of Psychiatry and Psychotherapy, Medical University Vienna, Vienna, Austria
- Biopsychosocial Corporation, Vienna, Austria
| | - Cathy L Barr
- Krembil Research Institute, University Health Network, Hospital for Sick Children, and University of Toronto, Toronto, Canada
| | - Csaba Barta
- Institute of Medical Chemistry, Molecular Biology, and Pathobiochemistry, Semmelweis University, Budapest, Hungary
| | | | - Cheston Berlin
- Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Lawrence Brown
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Cathy L Budman
- Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Danielle C Cath
- Department of Psychiatry, University Medical Center Groningen and Rijksuniversity Groningen, and Drenthe Mental Health Center, Groningen, the Netherlands
| | - Barbara J Coffey
- Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Giovanni Coppola
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Nancy J Cox
- Division of Genetic Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Sabrina Darrow
- Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Lea K Davis
- Division of Genetic Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Christel Depienne
- Institute of Human Genetics, University Hospital Essen, University Duisburg-Essen, Essen, Germany
- Sorbonne Universités, UPMC Université Paris 06, UMR S 1127, CNRS UMR 7225, ICM, Paris, France
| | - Andrea Dietrich
- Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Yves Dion
- McGill University Health Center, University of Montreal, McGill University Health Centre, Montreal, Canada
| | - Thomas Fernandez
- Yale Child Study Center and the Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Nelson B Freimer
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Donald Gilbert
- Division of Pediatric Neurology, Cincinnati Children's Hospital Medical Center; Department of Pediatrics, University of Cincinnati, Cincinnati, USA
| | - Marco A Grados
- Johns Hopkins University School of Medicine and the Kennedy Krieger Institute, Baltimore, MD, USA
| | - Erica Greenberg
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Andreas Hartmann
- Sorbonne Universités, UPMC Université Paris 06, UMR S 1127, CNRS UMR 7225, ICM, Paris, France
- French Reference Centre for Gilles de la Tourette Syndrome, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
- Assistance Publique-Hôpitaux de Paris, Department of Neurology, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
| | - Johannes Hebebrand
- Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Gary Heiman
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers, the State University of New Jersey, Piscataway, NJ, USA
| | - Matthew E Hirschtritt
- Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Pieter Hoekstra
- Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Alden Y Huang
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
- Bioinformatics Interdepartmental Program, University of California, Los Angeles, CA, USA
| | - Cornelia Illmann
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Joseph Jankovic
- Parkinson's Disease Center and Movement Disorders Clinic, Department of Neurology, Baylor College of Medicine, Houston, TX, USA
| | - Robert A King
- Yale Child Study Center and the Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Samuel Kuperman
- University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Paul C Lee
- Tripler Army Medical Center and University of Hawaii John A. Burns School of Medicine, Honolulu, HI, USA
| | - Gholson J Lyon
- Jervis Clinic, NYS Institute for Basic Research in Developmental Disabilities (IBR), Staten Island, NY, USA
| | - Irene A Malaty
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida Health, Gainesville, FL, USA
| | - Carol A Mathews
- Department of Psychiatry, Genetics Institute, University of Florida, Gainesville, FL, USA
| | - William M McMahon
- Department of Psychiatry, University of Utah, Salt Lake City, UT, USA
| | - Kirsten Müller-Vahl
- Clinic of Psychiatry, Social Psychiatry, and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - Peter Nagy
- Vadaskert Child and Adolescent Psychiatric Hospital, Budapest, Hungary
| | - Benjamin M Neale
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Markus M Nöthen
- Institute of Human Genetics, University Hospital Bonn, University of Bonn Medical School, Bonn, Germany
| | - Michael S Okun
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida Health, Gainesville, FL, USA
| | - Lisa Osiecki
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Peristera Paschou
- Department of Biological Sciences, Purdue University, West Lafayette, IN, USA
| | - Renata Rizzo
- Child Neuropsychiatry, Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
| | - Mary M Robertson
- Division of Psychiatry, Department of Neuropsychiatry, University College London, London, UK
| | - Guy A Rouleau
- Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
| | - Paul Sandor
- University Health Network, Youthdale Treatment Centres, and University of Toronto, Toronto, Canada
| | - Jeremiah M Scharf
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Neurology, Brigham and Women's Hospital, and the Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | | | - Harvey S Singer
- Johns Hopkins University School of Medicine and the Kennedy Krieger Institute, Baltimore, MD, USA
| | - Mara Stamenkovic
- Department of Psychiatry and Psychotherapy, Medical University Vienna, Vienna, Austria
| | - Manfred Stuhrmann
- Institute of Human Genetics, Hannover Medical School, Hannover, Germany
| | - Jae Hoon Sul
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Zsanett Tarnok
- Vadaskert Child and Adolescent Psychiatric Hospital, Budapest, Hungary
| | - Jay Tischfield
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers, the State University of New Jersey, Piscataway, NJ, USA
| | - Fotis Tsetsos
- Department of Molecular Biology and Genetics, Democritus University of Thrace, Alexandroupolis, Greece
| | - A Jeremy Willsey
- Institute for Neurodegenerative Diseases, UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Douglas Woods
- Marquette University and University of Wisconsin-Milwaukee, Milwaukee, WI, USA
| | - Yulia Worbe
- Sorbonne Universités, UPMC Université Paris 06, UMR S 1127, CNRS UMR 7225, ICM, Paris, France
- French Reference Centre for Gilles de la Tourette Syndrome, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
- Assistance Publique-Hôpitaux de Paris, Department of Neurology, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
- Assistance Publique Hôpitaux de Paris, Hopital Saint Antoine, Paris, France
| | - Dongmei Yu
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Samuel Zinner
- Department of Pediatrics, University of Washington, Seattle, WA, USA
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16
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Lubin JH, Zardecki C, Dolan EM, Lu C, Shen Z, Dutta S, Westbrook JD, Hudson BP, Goodsell DS, Williams JK, Voigt M, Sarma V, Xie L, Venkatachalam T, Arnold S, Alvarado LHA, Catalfano K, Khan A, McCarthy E, Staggers S, Tinsley B, Trudeau A, Singh J, Whitmore L, Zheng H, Benedek M, Currier J, Dresel M, Duvvuru A, Dyszel B, Fingar E, Hennen EM, Kirsch M, Khan AA, Labrie-Cleary C, Laporte S, Lenkeit E, Martin K, Orellana M, de la Campa MOA, Paredes I, Wheeler B, Rupert A, Sam A, See K, Zapata SS, Craig PA, Hall BL, Jiang J, Koeppe JR, Mills SA, Pikaart MJ, Roberts R, Bromberg Y, Hoyer JS, Duffy S, Tischfield J, Ruiz FX, Arnold E, Baum J, Sandberg J, Brannigan G, Khare SD, Burley SK. Evolution of the SARS-CoV-2 proteome in three dimensions (3D) during the first six months of the COVID-19 pandemic. bioRxiv 2020. [PMID: 33299989 DOI: 10.1101/2020.12.01.406637] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Three-dimensional structures of SARS-CoV-2 and other coronaviral proteins archived in the Protein Data Bank were used to analyze viral proteome evolution during the first six months of the COVID-19 pandemic. Analyses of spatial locations, chemical properties, and structural and energetic impacts of the observed amino acid changes in >48,000 viral proteome sequences showed how each one of the 29 viral study proteins have undergone amino acid changes. Structural models computed for every unique sequence variant revealed that most substitutions map to protein surfaces and boundary layers with a minority affecting hydrophobic cores. Conservative changes were observed more frequently in cores versus boundary layers/surfaces. Active sites and protein-protein interfaces showed modest numbers of substitutions. Energetics calculations showed that the impact of substitutions on the thermodynamic stability of the proteome follows a universal bi-Gaussian distribution. Detailed results are presented for six drug discovery targets and four structural proteins comprising the virion, highlighting substitutions with the potential to impact protein structure, enzyme activity, and functional interfaces. Characterizing the evolution of the virus in three dimensions provides testable insights into viral protein function and should aid in structure-based drug discovery efforts as well as the prospective identification of amino acid substitutions with potential for drug resistance.
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17
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Barrett ES, Horton DB, Roy J, Gennaro ML, Brooks A, Tischfield J, Greenberg P, Andrews T, Jagpal S, Reilly N, Carson JL, Blaser MJ, Panettieri RA. Prevalence of SARS-CoV-2 infection in previously undiagnosed health care workers in New Jersey, at the onset of the U.S. COVID-19 pandemic. BMC Infect Dis 2020; 20:853. [PMID: 33198725 PMCID: PMC7668027 DOI: 10.1186/s12879-020-05587-2] [Citation(s) in RCA: 103] [Impact Index Per Article: 25.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Accepted: 11/04/2020] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Healthcare workers (HCW) are presumed to be at increased risk of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection due to occupational exposure to infected patients. However, there has been little epidemiological research to assess these risks. METHODS We conducted a prospective cohort study of HCW (n = 546) and non-healthcare workers (NHCW; n = 283) with no known prior SARS-CoV-2 infection who were recruited from a large U.S. university and two affiliated university hospitals. In this cross-sectional analysis of data collected at baseline, we examined SARS-CoV-2 infection status (as determined by presence of SARS-CoV-2 RNA in oropharyngeal swabs) by healthcare worker status and role. RESULTS At baseline, 41 (5.0%) of the participants tested positive for SARS-CoV-2 infection, of whom 14 (34.2%) reported symptoms. The prevalence of SARS-CoV-2 infection was higher among HCW (7.3%) than in NHCW (0.4%), representing a 7.0% greater absolute risk (95% confidence interval for risk difference 4.7, 9.3%). The majority of infected HCW (62.5%) were nurses. Positive tests increased across the two weeks of cohort recruitment in line with rising confirmed cases in the hospitals and surrounding counties. CONCLUSIONS Overall, our results demonstrate that HCW had a higher prevalence of SARS-CoV-2 infection than NHCW. Continued follow-up of this cohort will enable us to monitor infection rates and examine risk factors for transmission.
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Affiliation(s)
- Emily S Barrett
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ, USA.,Environmental and Occupational Health Sciences Institute, Rutgers University, Piscataway, NJ, USA
| | - Daniel B Horton
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ, USA.,Department of Pediatrics, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA.,Rutgers Center for Pharmacoepidemiology and Treatment Science, Health Care Policy and Aging Research, Institute for Health, New Brunswick, NJ, USA
| | - Jason Roy
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ, USA
| | - Maria Laura Gennaro
- Department of Medicine, Public Health Research Institute, New Jersey Medical School, Rutgers University, Newark, NJ, USA
| | - Andrew Brooks
- Environmental and Occupational Health Sciences Institute, Rutgers University, Piscataway, NJ, USA.,RUCDR Infinite Biologics and Human Genetics Institute of NJ and Department of Genetics, Rutgers University, Piscataway, NJ, USA
| | - Jay Tischfield
- Department of Pediatrics, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA.,RUCDR Infinite Biologics and Human Genetics Institute of NJ and Department of Genetics, Rutgers University, Piscataway, NJ, USA
| | - Patricia Greenberg
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ, USA
| | - Tracy Andrews
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ, USA
| | - Sugeet Jagpal
- Department of Medicine, Division of General Internal Medicine, Rutgers Robert Wood Johnson Medical School, 125 Paterson Street, New Brunswick, New Jersey, 08901, USA
| | - Nancy Reilly
- Rutgers Institute for Translational Medicine & Science, New Brunswick, NJ, USA
| | - Jeffrey L Carson
- Department of Medicine, Division of General Internal Medicine, Rutgers Robert Wood Johnson Medical School, 125 Paterson Street, New Brunswick, New Jersey, 08901, USA.
| | - Martin J Blaser
- Department of Medicine, Division of General Internal Medicine, Rutgers Robert Wood Johnson Medical School, 125 Paterson Street, New Brunswick, New Jersey, 08901, USA.,Center for Advanced Biotechnology and Medicine, Rutgers University, Piscataway, NJ, USA
| | - Reynold A Panettieri
- Department of Medicine, Division of General Internal Medicine, Rutgers Robert Wood Johnson Medical School, 125 Paterson Street, New Brunswick, New Jersey, 08901, USA.,Rutgers Institute for Translational Medicine & Science, New Brunswick, NJ, USA
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18
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Simonet NG, Thackray JK, Vazquez BN, Ianni A, Espinosa-Alcantud M, Morales-Sanfrutos J, Hurtado-Bagès S, Sabidó E, Buschbeck M, Tischfield J, De La Torre C, Esteller M, Braun T, Olivella M, Serrano L, Vaquero A. SirT7 auto-ADP-ribosylation regulates glucose starvation response through mH2A1. Sci Adv 2020; 6:eaaz2590. [PMID: 32832656 PMCID: PMC7439345 DOI: 10.1126/sciadv.aaz2590] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Accepted: 06/04/2020] [Indexed: 06/11/2023]
Abstract
Sirtuins are key players of metabolic stress response. Originally described as deacetylases, some sirtuins also exhibit poorly understood mono-adenosine 5'-diphosphate (ADP)-ribosyltransferase (mADPRT) activity. We report that the deacetylase SirT7 is a dual sirtuin, as it also features auto-mADPRT activity. SirT7 mADPRT occurs at a previously undefined active site, and its abrogation alters SirT7 chromatin distribution. We identify an epigenetic pathway by which ADP-ribosyl-SirT7 is recognized by the ADP-ribose reader mH2A1.1 under glucose starvation, inducing SirT7 relocalization to intergenic regions. SirT7 promotes mH2A1 enrichment in a subset of nearby genes, many of them involved in second messenger signaling, resulting in their specific up- or down-regulation. The expression profile of these genes under calorie restriction is consistently abrogated in SirT7-deficient mice, resulting in impaired activation of autophagy. Our work provides a novel perspective on sirtuin duality and suggests a role for SirT7/mH2A1.1 axis in glucose homeostasis and aging.
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Affiliation(s)
- Nicolás G. Simonet
- Chromatin Biology Laboratory, Josep Carreras Leukaemia Research Institute (IJC), Ctra de Can Ruti, Camí de les Escoles s/n, 08916 Badalona, Barcelona, Catalonia, Spain
- Chromatin Biology Laboratory, Cancer Epigenetics and Biology Program (PEBC), Bellvitge Biomedical Research Institute (IDIBELL), Av. Gran Via de l’Hospitalet, 199-203, 08908 L’Hospitalet de Llobregat, Barcelona, Catalonia, Spain
| | - Joshua K. Thackray
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers University, 145 Bevier Road, Piscataway, NJ 08854, USA
| | - Berta N. Vazquez
- Chromatin Biology Laboratory, Josep Carreras Leukaemia Research Institute (IJC), Ctra de Can Ruti, Camí de les Escoles s/n, 08916 Badalona, Barcelona, Catalonia, Spain
- Chromatin Biology Laboratory, Cancer Epigenetics and Biology Program (PEBC), Bellvitge Biomedical Research Institute (IDIBELL), Av. Gran Via de l’Hospitalet, 199-203, 08908 L’Hospitalet de Llobregat, Barcelona, Catalonia, Spain
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers University, 145 Bevier Road, Piscataway, NJ 08854, USA
| | - Alessandro Ianni
- Max Planck Institute for Heart and Lung Research, Department of Cardiac Development and Remodelling, Bad Nauheim, Germany
| | - Maria Espinosa-Alcantud
- Chromatin Biology Laboratory, Josep Carreras Leukaemia Research Institute (IJC), Ctra de Can Ruti, Camí de les Escoles s/n, 08916 Badalona, Barcelona, Catalonia, Spain
- Chromatin Biology Laboratory, Cancer Epigenetics and Biology Program (PEBC), Bellvitge Biomedical Research Institute (IDIBELL), Av. Gran Via de l’Hospitalet, 199-203, 08908 L’Hospitalet de Llobregat, Barcelona, Catalonia, Spain
| | - Julia Morales-Sanfrutos
- Proteomics Unit, Centre de Regulació Genòmica (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Catalonia, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
| | - Sarah Hurtado-Bagès
- Cancer and Leukemia Epigenetics and Biology Program, Josep Carreras Leukaemia Research Institute (IJC), Campus ICO-GTP-UAB, 08916 Badalona, Barcelona, Catalonia, Spain
| | - Eduard Sabidó
- Proteomics Unit, Centre de Regulació Genòmica (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Catalonia, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
| | - Marcus Buschbeck
- Cancer and Leukemia Epigenetics and Biology Program, Josep Carreras Leukaemia Research Institute (IJC), Campus ICO-GTP-UAB, 08916 Badalona, Barcelona, Catalonia, Spain
- Program for Predictive and Personalized Medicine of Cancer, Germans Trias i Pujol Research Institute (PMPPC-IGTP), 08916 Badalona, Barcelona, Catalonia, Spain
| | - Jay Tischfield
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers University, 145 Bevier Road, Piscataway, NJ 08854, USA
| | - Carolina De La Torre
- Proteomics Unit, Josep Carreras Leukaemia Research Institute (IJC), Ctra de Can Ruti, Camí de les Escoles s/n, 08916 Badalona, Barcelona, Catalonia, Spain
- Proteomics Unit, Bellvitge Biomedical Research Institute (IDIBELL), Av. Gran Via de l’Hospitalet, 199-203, 08908 L’Hospitalet de Llobregat, Barcelona, Catalonia, Spain
| | - Manel Esteller
- Cancer Epigenetics Group, Josep Carreras Leukaemia Research Institute (IJC), Badalona, Barcelona, Catalonia, Spain
- Centro de Investigación Biomédica en Red Cáncer (CIBERONC), 28029 Madrid, Spain
- Institucio Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Catalonia, Spain
- Physiological Sciences Department, School of Medicine and Health Sciences, University of Barcelona (UB), Barcelona, Catalonia, Spain
| | - Thomas Braun
- Max Planck Institute for Heart and Lung Research, Department of Cardiac Development and Remodelling, Bad Nauheim, Germany
| | - Mireia Olivella
- Bioinformatics Area, School of International Studies, ESCI-UPF, Barcelona, Catalonia, Spain
- Bioinformatics and Medical Statistics Group, UST, Universitat de Vic–Universitat Central de Catalunya (UVIC-UCC), Barcelona, Catalonia, Spain
| | - Lourdes Serrano
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers University, 145 Bevier Road, Piscataway, NJ 08854, USA
- Department of Science, BMCC, The City University of New York (CUNY), 199 Chambers Street N699P, New York, NY 10007, USA
| | - Alejandro Vaquero
- Chromatin Biology Laboratory, Josep Carreras Leukaemia Research Institute (IJC), Ctra de Can Ruti, Camí de les Escoles s/n, 08916 Badalona, Barcelona, Catalonia, Spain
- Chromatin Biology Laboratory, Cancer Epigenetics and Biology Program (PEBC), Bellvitge Biomedical Research Institute (IDIBELL), Av. Gran Via de l’Hospitalet, 199-203, 08908 L’Hospitalet de Llobregat, Barcelona, Catalonia, Spain
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19
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Radbel J, Jagpal S, Roy J, Brooks A, Tischfield J, Sheldon M, Bixby C, Witt D, Gennaro ML, Horton DB, Barrett ES, Carson JL, Panettieri RA, Blaser MJ. Detection of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Is Comparable in Clinical Samples Preserved in Saline or Viral Transport Medium. J Mol Diagn 2020; 22:871-875. [PMID: 32405270 PMCID: PMC7219422 DOI: 10.1016/j.jmoldx.2020.04.209] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2020] [Accepted: 04/28/2020] [Indexed: 12/22/2022] Open
Abstract
As the coronavirus disease 2019 (COVID-19) pandemic sweeps across the world, the availability of viral transport medium (VTM) has become severely limited, contributing to delays in diagnosis and rationing of diagnostic testing. Given that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral RNA has demonstrated stability, we posited that phosphate-buffered saline (PBS) may be a viable transport medium, as an alternative to VTM, for clinical real-time quantitative PCR (qPCR) testing. The intra-individual reliability and interindividual reliability of SARS-CoV-2 qPCR were assessed in clinical endotracheal secretion samples transported in VTM or PBS to evaluate the stability of the qPCR signal for three viral targets (N gene, ORF1ab, and S gene) when samples were stored in these media at room temperature for up to 18 hours. We report that the use of PBS as a transport medium allows high intra-individual and interindividual reliability, maintains viral stability, and compares with VTM in the detection of the three SARS-CoV-2 genes through 18 hours of storage. This study establishes PBS as a clinically useful medium that can be readily deployed for transporting and short-term preservation of specimens containing SARS-CoV-2. Use of PBS as a transport medium has the potential to increase testing capacity for SARS-CoV-2, aiding more widespread screening and early diagnosis of COVID-19.
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Affiliation(s)
- Jared Radbel
- Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey; Environmental and Occupational Health Sciences Institute, Rutgers University, Piscataway, New Jersey
| | - Sugeet Jagpal
- Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey
| | - Jason Roy
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, New Jersey
| | - Andrew Brooks
- Environmental and Occupational Health Sciences Institute, Rutgers University, Piscataway, New Jersey; Rutgers University Cell and DNA Repository Infinite Biologics and Human Genetics Institute of New Jersey and Department of Genetics, Rutgers University, Piscataway, New Jersey
| | - Jay Tischfield
- Rutgers University Cell and DNA Repository Infinite Biologics and Human Genetics Institute of New Jersey and Department of Genetics, Rutgers University, Piscataway, New Jersey; Department of Pediatrics, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey
| | - Michael Sheldon
- Rutgers University Cell and DNA Repository Infinite Biologics and Human Genetics Institute of New Jersey and Department of Genetics, Rutgers University, Piscataway, New Jersey
| | - Christian Bixby
- Rutgers University Cell and DNA Repository Infinite Biologics and Human Genetics Institute of New Jersey and Department of Genetics, Rutgers University, Piscataway, New Jersey
| | - Dana Witt
- Rutgers University Cell and DNA Repository Infinite Biologics and Human Genetics Institute of New Jersey and Department of Genetics, Rutgers University, Piscataway, New Jersey
| | - Maria L Gennaro
- Public Health Research Institute, Department of Medicine, New Jersey Medical School, Rutgers University, Newark, New Jersey
| | - Daniel B Horton
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, New Jersey; Department of Pediatrics, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey; Rutgers Center for Pharmacoepidemiology and Treatment Science, Institute for Health, Health Care Policy and Aging Research, New Brunswick, New Jersey
| | - Emily S Barrett
- Environmental and Occupational Health Sciences Institute, Rutgers University, Piscataway, New Jersey; Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, New Jersey
| | - Jeffrey L Carson
- Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey
| | - Reynold A Panettieri
- Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey; Rutgers Institute for Translational Medicine and Science, New Brunswick, New Jersey
| | - Martin J Blaser
- Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey; Center for Advanced Biotechnology and Medicine, Rutgers University, Piscataway, New Jersey.
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20
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Barrett ES, Horton DB, Roy J, Gennaro ML, Brooks A, Tischfield J, Greenberg P, Andrews T, Jagpal S, Reilly N, Blaser MJ, Carson JL, Panettieri RA. Prevalence of SARS-CoV-2 infection in previously undiagnosed health care workers at the onset of the U.S. COVID-19 epidemic. medRxiv 2020. [PMID: 32511600 PMCID: PMC7276027 DOI: 10.1101/2020.04.20.20072470] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Importance: Healthcare workers are presumed to be at increased risk of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection due to occupational exposure to infected patients. However, no epidemiological study has examined the prevalence of SARS-CoV-2 infection in a cohort of healthcare workers during the early phase of community transmission. Objective: To determine the baseline prevalence of SARS-CoV-2 infection in a cohort of previously undiagnosed healthcare workers and a comparison group of non-healthcare workers. Design: Prospective cohort study Setting: A large U.S. university and two affiliated university hospitals Participants: 546 health care workers and 283 non-health care workers with no known prior SARS-CoV-2 infection Exposure: Healthcare worker status and role Main outcome(s) and measure(s): SARS-CoV-2 infection status as determined by presence of SARS-CoV-2 RNA in oropharyngeal swabs. Results: At baseline, 41 (5.0%) of participants tested positive for SARS-CoV-2 infection, of whom 14 (34.2%) reported symptoms. The prevalence of SARS-CoV-2 infection was higher among healthcare workers (7.3%) than in non-healthcare workers (0.4%), representing a 7.0% greater absolute risk (95% confidence interval for risk difference 4.7%, 9.3%). The majority of infected healthcare workers (62.5%) worked as nurses. Positive tests increased across the two weeks of cohort recruitment in line with rising confirmed cases in the hospitals and surrounding counties. Conclusions and relevance: In a prospective cohort conducted in the early phases of community transmission, healthcare workers had a higher prevalence of SARS-CoV-2 infection than non-healthcare workers, attesting to the occupational hazards of caring for patients in this crisis. Baseline data reported here will enable us to monitor the spread of infection and examine risk factors for transmission among healthcare workers. These results will inform optimal strategies for protecting the healthcare workforce, their families, and their patients. Clinicaltrials.gov registration number: NCT04336215
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Affiliation(s)
- Emily S Barrett
- Department of Biostatistics and Epidemiology; Rutgers School of Public Health; Piscataway, NJ.,Environmental and Occupational Health Sciences Institute; Rutgers University; Piscataway, NJ
| | - Daniel B Horton
- Department of Biostatistics and Epidemiology; Rutgers School of Public Health; Piscataway, NJ.,Department of Pediatrics, Rutgers Robert Wood Johnson Medical School; New Brunswick, NJ.,Rutgers Center for Pharmacoepidemiology and Treatment Science, Institute for Health, Health Care Policy and Aging Research; New Brunswick, NJ
| | - Jason Roy
- Department of Biostatistics and Epidemiology; Rutgers School of Public Health; Piscataway, NJ
| | - Maria Laura Gennaro
- Public Health Research Institute; Department of Medicine; New Jersey Medical School; Rutgers University; Newark, NJ
| | - Andrew Brooks
- Environmental and Occupational Health Sciences Institute; Rutgers University; Piscataway, NJ.,RUCDR Infinite Biologics and Human Genetics Institute of NJ and Department of Genetics, Rutgers University; Piscataway, NJ
| | - Jay Tischfield
- Department of Pediatrics, Rutgers Robert Wood Johnson Medical School; New Brunswick, NJ.,RUCDR Infinite Biologics and Human Genetics Institute of NJ and Department of Genetics, Rutgers University; Piscataway, NJ
| | - Patricia Greenberg
- Department of Biostatistics and Epidemiology; Rutgers School of Public Health; Piscataway, NJ
| | - Tracy Andrews
- Department of Biostatistics and Epidemiology; Rutgers School of Public Health; Piscataway, NJ
| | - Sugeet Jagpal
- Department of Medicine, Rutgers Robert Wood Johnson Medical School; New Brunswick, NJ
| | - Nancy Reilly
- Rutgers Institute for Translational Medicine & Science; New Brunswick, NJ
| | - Martin J Blaser
- Department of Medicine, Rutgers Robert Wood Johnson Medical School; New Brunswick, NJ.,Center for Advanced Biotechnology and Medicine; Rutgers University, Piscataway, NJ
| | - Jeffrey L Carson
- Department of Medicine, Rutgers Robert Wood Johnson Medical School; New Brunswick, NJ
| | - Reynold A Panettieri
- Department of Medicine, Rutgers Robert Wood Johnson Medical School; New Brunswick, NJ.,Rutgers Institute for Translational Medicine & Science; New Brunswick, NJ
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21
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Lai D, Wetherill L, Kapoor M, Johnson EC, Schwandt M, Ramchandani VA, Goldman D, Joslyn G, Rao X, Liu Y, Farris S, Mayfield RD, Dick D, Hesselbrock V, Kramer J, McCutcheon VV, Nurnberger J, Tischfield J, Goate A, Edenberg HJ, Porjesz B, Agrawal A, Foroud T, Schuckit M. Genome-wide association studies of the self-rating of effects of ethanol (SRE). Addict Biol 2020; 25:e12800. [PMID: 31270906 PMCID: PMC6940552 DOI: 10.1111/adb.12800] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2018] [Revised: 05/06/2019] [Accepted: 05/27/2019] [Indexed: 12/22/2022]
Abstract
The level of response (LR) to alcohol as measured with the Self-Report of the Effects of Alcohol Retrospective Questionnaire (SRE) evaluates the number of standard drinks usually required for up to four effects. The need for a higher number of drinks for effects is genetically influenced and predicts higher risks for heavy drinking and alcohol problems. We conducted genome-wide association study (GWAS) in the African-American (COGA-AA, N = 1527 from 309 families) and European-American (COGA-EA, N = 4723 from 956 families) subsamples of the Collaborative Studies on the Genetics of Alcoholism (COGA) for two SRE scores: SRE-T (average of first five times of drinking, the period of heaviest drinking, and the most recent 3 months of consumption) and SRE-5 (the first five times of drinking). We then meta-analyzed the two COGA subsamples (COGA-AA + EA). Both SRE-T and SRE-5 were modestly heritable (h2 : 21%-31%) and genetically correlated with alcohol dependence (AD) and DSM-IV AD criterion count (rg : 0.35-0.76). Genome-wide significant associations were observed (SRE-T: chromosomes 6, rs140154945, COGA-EA P = 3.30E-08 and 11, rs10647170, COGA-AA+EA P = 3.53E-09; SRE-5: chromosome13, rs4770359, COGA-AA P = 2.92E-08). Chromosome 11 was replicated in an EA dataset from the National Institute on Alcohol Abuse and Alcoholism intramural program. In silico functional analyses and RNA expression analyses suggest that the chromosome 6 locus is an eQTL for KIF25. Polygenic risk scores derived using the COGA SRE-T and SRE-5 GWAS predicted 0.47% to 2.48% of variances in AD and DSM-IV AD criterion count in independent datasets. This study highlights the genetic contribution of alcohol response phenotypes to the etiology of alcohol use disorders.
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Affiliation(s)
- Dongbing Lai
- Department of Medical and Molecular Genetics, Indiana
University School of Medicine, Indianapolis, IN
| | - Leah Wetherill
- Department of Medical and Molecular Genetics, Indiana
University School of Medicine, Indianapolis, IN
| | - Manav Kapoor
- Department of Neuroscience, Icahn School of Medicine at
Mt. Sinai, New York, NY
| | - Emma C. Johnson
- Department of Psychiatry, Washington University School of
Medicine, St. Louis, MO
| | - Melanie Schwandt
- Office of the Clinical Director, National Institute on
Alcohol Abuse & Alcoholism, Bethesda, MD
| | - Vijay A. Ramchandani
- Section on Human Psychopharmacology, Division of
Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and
Alcoholism, Bethesda, MD
| | - David Goldman
- Office of the Clinical Director, National Institute on
Alcohol Abuse & Alcoholism, Bethesda, MD
| | - Geoff Joslyn
- Ernest Gallo Clinic and Research Center, Emeryville,
CA
| | - Xi Rao
- Department of Medical and Molecular Genetics, Indiana
University School of Medicine, Indianapolis, IN
| | - Yunlong Liu
- Department of Medical and Molecular Genetics, Indiana
University School of Medicine, Indianapolis, IN
| | - Sean Farris
- Waggoner Center for Alcohol and Addiction Research, The
University of Texas at Austin, Austin, TX
| | - R. Dayne Mayfield
- Waggoner Center for Alcohol and Addiction Research, The
University of Texas at Austin, Austin, TX
| | - Danielle Dick
- Department of Psychology, Virginia Commonwealth
University, Richmond, VA
| | | | - John Kramer
- Department of Psychiatry, Roy Carver College of
Medicine, University of Iowa, Iowa City, IA
| | - Vivia V. McCutcheon
- Department of Psychiatry, Washington University School of
Medicine, St. Louis, MO
| | - John Nurnberger
- Department of Medical and Molecular Genetics, Indiana
University School of Medicine, Indianapolis, IN
- Department of Psychiatry, Indiana University School of
Medicine, Indianapolis, IN
| | - Jay Tischfield
- Department of Genetics and the Human Genetics Institute
of New Jersey, Rutgers University, Piscataway, NJ
| | - Alison Goate
- Department of Neuroscience, Icahn School of Medicine at
Mt. Sinai, New York, NY
| | - 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, State University of New York, Downstate Medical Center, Brooklyn,
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
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22
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Salvatore JE, Barr PB, Stephenson M, Aliev F, Kuo SIC, Su J, Agrawal A, Almasy L, Bierut L, Bucholz K, Chan G, Edenberg HJ, Johnson EC, McCutcheon VV, Meyers JL, Schuckit M, Tischfield J, Wetherill L, Dick DM. Sibling comparisons elucidate the associations between educational attainment polygenic scores and alcohol, nicotine and cannabis. Addiction 2020; 115:337-346. [PMID: 31659820 PMCID: PMC7034661 DOI: 10.1111/add.14815] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Revised: 05/30/2019] [Accepted: 09/02/2019] [Indexed: 12/16/2022]
Abstract
BACKGROUND AND AIMS The associations between low educational attainment and substance use disorders (SUDs) may be related to a common genetic vulnerability. We aimed to elucidate the associations between polygenic scores for educational attainment and clinical criterion counts for three SUDs (alcohol, nicotine and cannabis). DESIGN Polygenic association and sibling comparison methods. The latter strengthens inferences in observational research by controlling for confounding factors that differ between families. SETTING Six sites in the United States. PARTICIPANTS European ancestry participants aged 25 years and older from the Collaborative Study on the Genetics of Alcoholism (COGA). Polygenic association analyses included 5582 (54% female) participants. Sibling comparisons included 3098 (52% female) participants from 1226 sibling groups nested within the overall sample. MEASUREMENTS Outcomes included criterion counts for DSM-5 alcohol use disorder (AUDSX), Fagerström nicotine dependence (NDSX) and DSM-5 cannabis use disorder (CUDSX). We derived polygenic scores for educational attainment (EduYears-GPS) using summary statistics from a large (> 1 million) genome-wide association study of educational attainment. FINDINGS In polygenic association analyses, higher EduYears-GPS predicted lower AUDSX, NDSX and CUDSX [P < 0.01, effect sizes (R2 ) ranging from 0.30 to 1.84%]. These effects were robust in sibling comparisons, where sibling differences in EduYears-GPS predicted all three SUDs (P < 0.05, R2 0.13-0.20%). CONCLUSIONS Individuals who carry more alleles associated with educational attainment tend to meet fewer clinical criteria for alcohol, nicotine and cannabis use disorders, and these effects are robust to rigorous controls for potentially confounding factors that differ between families (e.g. socio-economic status, urban-rural residency and parental education).
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Affiliation(s)
- Jessica E. Salvatore
- Department of Psychology, Virginia Commonwealth University, Box 842018, Richmond, VA 23284-2018
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth, University, Box 980126, Richmond, VA 23298
| | - Peter B. Barr
- Department of Psychology, Virginia Commonwealth University, Box 842018, Richmond, VA 23284-2018
| | - Mallory Stephenson
- Department of Psychology, Virginia Commonwealth University, Box 842018, Richmond, VA 23284-2018
| | - Fazil Aliev
- Department of Psychology, Virginia Commonwealth University, Box 842018, Richmond, VA 23284-2018
- Department of Business Administration, Karabuk University, 78050 Karabuk, Turkey
| | - Sally I-Chun Kuo
- Department of Psychology, Virginia Commonwealth University, Box 842018, Richmond, VA 23284-2018
| | - Jinni Su
- Department of Psychology, Arizona State University, Box 871104, Tempe, AZ 85287-1104
| | - Arpana Agrawal
- Department of Psychiatry, Washington University in St. Louis, 660 S. Euclid, CB 8134, St., Louis, MO 63110
| | - Laura Almasy
- Department of Genetics, University of Pennsylvania, 415 Curie Boulevard Philadelphia, PA, 19104-6145
- Department of Biomedical and Health Informatics, Children’s Hospital of Philadelphia, 3615, Civic Center Blvd, ARC 1016-C, Philadelphia, PA 19104
| | - Laura Bierut
- Department of Psychiatry, Washington University in St. Louis, 660 S. Euclid, CB 8134, St., Louis, MO 63110
| | - Kathleen Bucholz
- Department of Psychiatry, Washington University in St. Louis, 660 S. Euclid, CB 8134, St., Louis, MO 63110
| | - Grace Chan
- Department of Psychiatry, University of Connecticut School of Medicine, 263 Farmington, Avenue, Farmington, CT 06030-2103
| | - Howard J. Edenberg
- Department of Biochemistry and Molecular Biology, Indiana University, 635 Barnhill Dr.,, Indianapolis, IN 46202
| | - Emma C. Johnson
- Department of Psychiatry, Washington University in St. Louis, 660 S. Euclid, CB 8134, St., Louis, MO 63110
| | - Vivia V. McCutcheon
- Department of Psychiatry, Washington University in St. Louis, 660 S. Euclid, CB 8134, St., Louis, MO 63110
| | - Jacquelyn L. Meyers
- Department of Psychiatry, SUNY Downstate Medical Center, 450 Clarkson Avenue Brooklyn, NY 11203
| | - Marc Schuckit
- Department of Psychiatry, University of California-San Diego, 9500 Gilman Drive La Jolla,, CA 92093
| | - Jay Tischfield
- Department of Genetics and the Human Genetics Institute of New Jersey, 145 Bevier Road, Piscataway, NJ 08854-8082
| | - Leah Wetherill
- Department of Medical and Molecular Genetics, Indiana University, 410 W. 10th Street, Indianapolis, IN 46202
| | - Danielle M. Dick
- Department of Psychology, Virginia Commonwealth University, Box 842018, Richmond, VA 23284-2018
- Department of Human & Molecular Genetics, Virginia Commonwealth University, Box, 980033, Richmond, VA, USA 23298
- College Behavioral and Emotional Health Institute, Virginia Commonwealth University, Box, 842018 Richmond, VA, 23284
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23
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Wetherill L, Lai D, Johnson EC, Anokhin A, Bauer L, Bucholz KK, Dick DM, Hariri AR, Hesselbrock V, Kamarajan C, Kramer J, Kuperman S, Meyers JL, Nurnberger JI, Schuckit M, Scott DM, Taylor RE, Tischfield J, Porjesz B, Goate AM, Edenberg HJ, Foroud T, Bogdan R, Agrawal A. ERRATUM: Genome-wide association study identifies loci associated with liability to alcohol and drug dependence that is associated with variability in reward-related ventral striatum activity in African- and European-Americans. Genes Brain Behav 2019; 18:e12608. [PMID: 31667958 DOI: 10.1111/gbb.12608] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
- Leah Wetherill
- Indiana University. Department of Medical and Molecular Genetics, Indiana University School of Medicine. Indianapolis, IN
| | - Dongbing Lai
- Indiana University. Department of Medical and Molecular Genetics, Indiana University School of Medicine. Indianapolis, IN
| | - Emma C Johnson
- Department of Psychiatry, Washington University. Washington University School of Medicine, Saint Louis, Missouri, USA
| | - Andrey Anokhin
- Department of Psychiatry, Washington University. Washington University School of Medicine, Saint Louis, Missouri, USA
| | - Lance Bauer
- Department of Psychiatry, University of Connecticut. University of Connecticut School of Medicine, Farmington, CT
| | - Kathleen K Bucholz
- Department of Psychiatry, Washington University. Washington University School of Medicine, Saint Louis, Missouri, USA
| | - Danielle M Dick
- Department of Psychology & College Behavioral and Emotional Health Institute, Virginia Commonwealth University, Virginia Commonwealth University, Richmond, VA
| | - Ahmad R Hariri
- Duke Institute for Brain Sciences, Dept. of Psychology, Duke University, Durham, NC
| | - Victor Hesselbrock
- Department of Psychiatry, University of Connecticut. University of Connecticut School of Medicine, Farmington, CT
| | - Chella Kamarajan
- SUNY. Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY
| | - John Kramer
- Department of Psychiatry, University of Iowa. University of Iowa Roy J and Lucille A Carver College of Medicine, Iowa City, IA
| | - Samuel Kuperman
- Department of Psychiatry, University of Iowa. University of Iowa Roy J and Lucille A Carver College of Medicine, Iowa City, IA
| | - Jacquelyn L Meyers
- SUNY. Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY
| | - John I Nurnberger
- Indiana University. Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN
| | - Marc Schuckit
- Department of Psychiatry, University of California San Diego. University of California San Diego, San Diego, CA
| | - Denise M Scott
- Departments of Pediatrics and Human Genetics, Howard University, Washington, District of Columbia
| | - Robert E Taylor
- Department of Pharmacology, Howard University, Washington, District of Columbia
| | | | - Bernice Porjesz
- SUNY. Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY
| | - Alison M Goate
- Department of Neuroscience, Icahn School of Medicine at Mt. Sinai, New York, NY
| | - Howard J Edenberg
- Indiana University. Department of Medical and Molecular Genetics, Indiana University School of Medicine. Indianapolis, IN.,Indiana University. Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN
| | - Tatiana Foroud
- Indiana University. Department of Medical and Molecular Genetics, Indiana University School of Medicine. Indianapolis, IN
| | - Ryan Bogdan
- Department of Psychological and Brain Sciences, Washington University in Saint Louis, Saint Louis, Missouri, USA
| | - Arpana Agrawal
- Department of Psychiatry, Washington University. Washington University School of Medicine, Saint Louis, Missouri, USA
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24
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Meyers JL, Chorlian DB, Johnson EC, Pandey AK, Kamarajan C, Salvatore JE, Aliev F, Subbie-Saenz de Viteri S, Zhang J, Chao M, Kapoor M, Hesselbrock V, Kramer J, Kuperman S, Nurnberger J, Tischfield J, Goate A, Foroud T, Dick DM, Edenberg HJ, Agrawal A, Porjesz B. Association of Polygenic Liability for Alcohol Dependence and EEG Connectivity in Adolescence and Young Adulthood. Brain Sci 2019; 9:E280. [PMID: 31627376 PMCID: PMC6826735 DOI: 10.3390/brainsci9100280] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Revised: 09/27/2019] [Accepted: 10/04/2019] [Indexed: 12/13/2022] Open
Abstract
Differences in the connectivity of large-scale functional brain networks among individuals with alcohol use disorders (AUD), as well as those at risk for AUD, point to dysfunctional neural communication and related cognitive impairments. In this study, we examined how polygenic risk scores (PRS), derived from a recent GWAS of DSM-IV Alcohol Dependence (AD) conducted by the Psychiatric Genomics Consortium, relate to longitudinal measures of interhemispheric and intrahemispheric EEG connectivity (alpha, theta, and beta frequencies) in adolescent and young adult offspring from the Collaborative Study on the Genetics of Alcoholism (COGA) assessed between ages 12 and 31. Our findings indicate that AD PRS (p-threshold < 0.001) was associated with increased fronto-central, tempo-parietal, centro-parietal, and parietal-occipital interhemispheric theta and alpha connectivity in males only from ages 18-31 (beta coefficients ranged from 0.02-0.06, p-values ranged from 10-6-10-12), but not in females. Individuals with higher AD PRS also demonstrated more performance deficits on neuropsychological tasks (Tower of London task, visual span test) as well as increased risk for lifetime DSM-5 alcohol and opioid use disorders. We conclude that measures of neural connectivity, together with neurocognitive performance and substance use behavior, can be used to further understanding of how genetic risk variants from large GWAS of AUD may influence brain function. In addition, these data indicate the importance of examining sex and developmental effects, which otherwise may be masked. Understanding of neural mechanisms linking genetic variants emerging from GWAS to risk for AUD throughout development may help to identify specific points when neurocognitive prevention and intervention efforts may be most effective.
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Affiliation(s)
- Jacquelyn L Meyers
- Department of Psychiatry, State University of New York Downstate Medical Center, Brooklyn, NY 11203, USA.
| | - David B Chorlian
- Department of Psychiatry, State University of New York Downstate Medical Center, Brooklyn, NY 11203, USA.
| | - Emma C Johnson
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA.
| | - Ashwini K Pandey
- Department of Psychiatry, State University of New York Downstate Medical Center, Brooklyn, NY 11203, USA.
| | - Chella Kamarajan
- Department of Psychiatry, State University of New York Downstate Medical Center, Brooklyn, NY 11203, USA.
| | - Jessica E Salvatore
- Department of Psychology, Virginia Commonwealth University, Richmond, VA 23284, USA.
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA 23284, USA.
| | - Fazil Aliev
- Department of Psychology, Virginia Commonwealth University, Richmond, VA 23284, USA.
| | | | - Jian Zhang
- Department of Psychiatry, State University of New York Downstate Medical Center, Brooklyn, NY 11203, USA.
| | - Michael Chao
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
| | - Manav Kapoor
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
| | - Victor Hesselbrock
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT 06030, USA.
| | - John Kramer
- Department of Psychiatry, Roy J and Lucille A Carver College of Medicine, University of Iowa, Iowa City, IA 52242, USA.
| | - Samuel Kuperman
- Department of Psychiatry, Roy J and Lucille A Carver College of Medicine, University of Iowa, Iowa City, IA 52242, USA.
| | - John Nurnberger
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
| | - Jay Tischfield
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers University, Newark, NJ 08901, USA.
| | - Alison Goate
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
| | - Danielle M Dick
- Department of Psychology, Virginia Commonwealth University, Richmond, VA 23284, USA.
| | - Howard J Edenberg
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA.
| | - Bernice Porjesz
- Department of Psychiatry, State University of New York Downstate Medical Center, Brooklyn, NY 11203, USA.
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25
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Wetherill L, Lai D, Johnson EC, Anokhin A, Bauer L, Bucholz KK, Dick DM, Hariri AR, Hesselbrock V, Kamarajan C, Kramer J, Kuperman S, Meyers JL, Nurnberger JI, Schuckit M, Scott DM, Taylor RE, Tischfield J, Porjesz B, Goate AM, Edenberg HJ, Foroud T, Bogdan R, Agrawal A. Genome-wide association study identifies loci associated with liability to alcohol and drug dependence that is associated with variability in reward-related ventral striatum activity in African- and European-Americans. Genes Brain Behav 2019; 18:e12580. [PMID: 31099175 PMCID: PMC6726116 DOI: 10.1111/gbb.12580] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Revised: 04/19/2019] [Accepted: 05/11/2019] [Indexed: 02/07/2023]
Abstract
Genetic influences on alcohol and drug dependence partially overlap, however, specific loci underlying this overlap remain unclear. We conducted a genome-wide association study (GWAS) of a phenotype representing alcohol or illicit drug dependence (ANYDEP) among 7291 European-Americans (EA; 2927 cases) and 3132 African-Americans (AA: 1315 cases) participating in the family-based Collaborative Study on the Genetics of Alcoholism. ANYDEP was heritable (h 2 in EA = 0.60, AA = 0.37). The AA GWAS identified three regions with genome-wide significant (GWS; P < 5E-08) single nucleotide polymorphisms (SNPs) on chromosomes 3 (rs34066662, rs58801820) and 13 (rs75168521, rs78886294), and an insertion-deletion on chromosome 5 (chr5:141988181). No polymorphisms reached GWS in the EA. One GWS region (chromosome 1: rs1890881) emerged from a trans-ancestral meta-analysis (EA + AA) of ANYDEP, and was attributable to alcohol dependence in both samples. Four genes (AA: CRKL, DZIP3, SBK3; EA: P2RX6) and four sets of genes were significantly enriched within biological pathways for hemostasis and signal transduction. GWS signals did not replicate in two independent samples but there was weak evidence for association between rs1890881 and alcohol intake in the UK Biobank. Among 118 AA and 481 EA individuals from the Duke Neurogenetics Study, rs75168521 and rs1890881 genotypes were associated with variability in reward-related ventral striatum activation. This study identified novel loci for substance dependence and provides preliminary evidence that these variants are also associated with individual differences in neural reward reactivity. Gene discovery efforts in non-European samples with distinct patterns of substance use may lead to the identification of novel ancestry-specific genetic markers of risk.
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Affiliation(s)
- Leah Wetherill
- Indiana University. Department of Medical and Molecular Genetics, Indiana University School of Medicine. Indianapolis, IN
| | - Dongbing Lai
- Indiana University. Department of Medical and Molecular Genetics, Indiana University School of Medicine. Indianapolis, IN
| | - Emma C. Johnson
- Washington University. Washington University School of Medicine, Department of Psychiatry. Saint Louis, MO. USA
| | - Andrey Anokhin
- Washington University. Washington University School of Medicine, Department of Psychiatry. Saint Louis, MO. USA
| | - Lance Bauer
- University of Connecticut. University of Connecticut School of Medicine, Department of Psychiatry. Farmington, CT
| | - Kathleen K. Bucholz
- Washington University. Washington University School of Medicine, Department of Psychiatry. Saint Louis, MO. USA
| | - Danielle M. Dick
- Virginia Commonwealth University. Department of Psychology & College Behavioral and Emotional Health Institute, Virginia Commonwealth University. Richmond, VA
| | - Ahmad R. Hariri
- Duke Institute for Brain Sciences, Dept. of Psychology, Duke University, Durham, NC
| | - Victor Hesselbrock
- University of Connecticut. University of Connecticut School of Medicine, Department of Psychiatry. Farmington, CT
| | - Chella Kamarajan
- SUNY. Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center. Brooklyn, NY
| | - John Kramer
- University of Iowa. University of Iowa Roy J and Lucille A Carver College of Medicine, Department of Psychiatry. Iowa City, IA
| | - Samuel Kuperman
- University of Iowa. University of Iowa Roy J and Lucille A Carver College of Medicine, Department of Psychiatry. Iowa City, IA
| | - Jacquelyn L. Meyers
- SUNY. Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center. Brooklyn, NY
| | - John I. Nurnberger
- Indiana University. Department of Psychiatry, Indiana University School of Medicine. Indianapolis, IN
| | - Marc Schuckit
- University of California San Diego. University of California San Diego, Department of Psychiatry. San Diego, CA
| | - Denise M. Scott
- Howard University, Departments of Pediatrics and Human Genetics, Washington, DC
| | | | | | - Bernice Porjesz
- SUNY. Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center. Brooklyn, NY
| | - Alison M. Goate
- Department of Neuroscience, Icahn School of Medicine at Mt. Sinai, New York, NY
| | - Howard J. Edenberg
- Indiana University. Department of Medical and Molecular Genetics, Indiana University School of Medicine. Indianapolis, IN
- Indiana University. Department of Biochemistry and Molecular Biology, Indiana University School of Medicine. Indianapolis, IN
| | - Tatiana Foroud
- Indiana University. Department of Medical and Molecular Genetics, Indiana University School of Medicine. Indianapolis, IN
| | - Ryan Bogdan
- Washington University in Saint Louis, Department of Psychological and Brain Sciences, Saint Louis, MO, USA
| | - Arpana Agrawal
- Washington University. Washington University School of Medicine, Department of Psychiatry. Saint Louis, MO. USA
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26
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Lai D, Wetherill L, Bertelsen S, Carey CE, Kamarajan C, Kapoor M, Meyers JL, Anokhin AP, Bennett DA, Bucholz KK, Chang KK, De Jager PL, Dick DM, Hesselbrock V, Kramer J, Kuperman S, Nurnberger JI, Raj T, Schuckit M, Scott DM, Taylor RE, Tischfield J, Hariri AR, Edenberg HJ, Agrawal A, Bogdan R, Porjesz B, Goate AM, Foroud T. Genome-wide association studies of alcohol dependence, DSM-IV criterion count and individual criteria. Genes Brain Behav 2019; 18:e12579. [PMID: 31090166 PMCID: PMC6612573 DOI: 10.1111/gbb.12579] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Revised: 04/19/2019] [Accepted: 05/11/2019] [Indexed: 01/04/2023]
Abstract
Genome-wide association studies (GWAS) of alcohol dependence (AD) have reliably identified variation within alcohol metabolizing genes (eg, ADH1B) but have inconsistently located other signals, which may be partially attributable to symptom heterogeneity underlying the disorder. We conducted GWAS of DSM-IV AD (primary analysis), DSM-IV AD criterion count (secondary analysis), and individual dependence criteria (tertiary analysis) among 7418 (1121 families) European American (EA) individuals from the Collaborative Study on the Genetics of Alcoholism (COGA). Trans-ancestral meta-analyses combined these results with data from 3175 (585 families) African-American (AA) individuals from COGA. In the EA GWAS, three loci were genome-wide significant: rs1229984 in ADH1B for AD criterion count (P = 4.16E-11) and Desire to cut drinking (P = 1.21E-11); rs188227250 (chromosome 8, Drinking more than intended, P = 6.72E-09); rs1912461 (chromosome 15, Time spent drinking, P = 1.77E-08). In the trans-ancestral meta-analysis, rs1229984 was associated with multiple phenotypes and two additional loci were genome-wide significant: rs61826952 (chromosome 1, DSM-IV AD, P = 8.42E-11); rs7597960 (chromosome 2, Time spent drinking, P = 1.22E-08). Associations with rs1229984 and rs18822750 were replicated in independent datasets. Polygenic risk scores derived from the EA GWAS of AD predicted AD in two EA datasets (P < .01; 0.61%-1.82% of variance). Identified novel variants (ie, rs1912461, rs61826952) were associated with differential central evoked theta power (loss - gain; P = .0037) and reward-related ventral striatum reactivity (P = .008), respectively. This study suggests that studying individual criteria may unveil new insights into the genetic etiology of AD liability.
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Affiliation(s)
- Dongbing Lai
- Department of Medical and Molecular Genetics, Indiana
University School of Medicine, Indianapolis, IN
| | - Leah Wetherill
- Department of Medical and Molecular Genetics, Indiana
University School of Medicine, Indianapolis, IN
| | - Sarah Bertelsen
- Department of Neuroscience, Icahn School of Medicine at Mt.
Sinai, New York, NY
| | - Caitlin E. Carey
- BRAIN Lab, Department of Psychological and Brain Sciences,
Washington University School of Medicine, St. Louis, MO
| | - Chella Kamarajan
- Henri Begleiter Neurodynamics Lab, Department of
Psychiatry, State University of New York, Downstate Medical Center, Brooklyn,
NY
| | - Manav Kapoor
- Department of Neuroscience, Icahn School of Medicine at Mt.
Sinai, New York, NY
| | - Jacquelyn L. Meyers
- Henri Begleiter Neurodynamics Lab, Department of
Psychiatry, State University of New York, Downstate Medical Center, Brooklyn,
NY
| | - Andrey P. Anokhin
- Department of Psychiatry, Washington University School of
Medicine, St. Louis, MO
| | - David A. Bennett
- Rush Alzheimer's Disease Center, Rush University
Medical Center, Chicago, IL
| | - Kathleen K. Bucholz
- Department of Psychiatry, Washington University School of
Medicine, St. Louis, MO
| | - Katharine K. Chang
- BRAIN Lab, Department of Psychological and Brain Sciences,
Washington University School of Medicine, St. Louis, MO
| | - Philip L. De Jager
- Departments of Neurology and Psychiatry, Brigham and
Women's Hospital, Boston, MA
| | - Danielle M. Dick
- Department of Psychology, Virginia Commonwealth University,
Richmond, VA
| | | | - John Kramer
- Department of Psychiatry, Roy Carver College of Medicine,
University of Iowa, Iowa City, IA
| | - Samuel Kuperman
- Department of Psychiatry, Roy Carver College of Medicine,
University of Iowa, Iowa City, IA
| | - 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
| | - Towfique Raj
- Department of Neuroscience, Icahn School of Medicine at Mt.
Sinai, New York, NY
| | - Marc Schuckit
- Department of Psychiatry, University of California, San
Diego Medical School, San Diego, CA
| | - Denise M. Scott
- Departments of Pediatrics and Human Genetics, Howard
University, Washington, DC
| | | | | | - Ahmad R. Hariri
- Laboratory of NeuroGenetics, Department of Psychology and
Neuroscience, Duke University, Durham, NC, USA
| | - 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
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of
Medicine, St. Louis, MO
| | - Ryan Bogdan
- BRAIN Lab, Department of Psychological and Brain Sciences,
Washington University School of Medicine, St. Louis, MO
| | - Bernice Porjesz
- Henri Begleiter Neurodynamics Lab, Department of
Psychiatry, State University of New York, Downstate Medical Center, Brooklyn,
NY
| | - Alison M. Goate
- Department of Neuroscience, Icahn School of Medicine at Mt.
Sinai, New York, NY
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana
University School of Medicine, Indianapolis, IN
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27
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Johnson EC, Tillman R, Aliev F, Meyers JL, Salvatore JE, Anokhin AP, Dick DM, Edenberg HJ, Kramer JR, Kuperman S, McCutcheon VV, Nurnberger JI, Porjesz B, Schuckit MA, Tischfield J, Bucholz KK, Agrawal A. Exploring the relationship between polygenic risk for cannabis use, peer cannabis use and the longitudinal course of cannabis involvement. Addiction 2019; 114:687-697. [PMID: 30474892 PMCID: PMC6411425 DOI: 10.1111/add.14512] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2018] [Revised: 08/13/2018] [Accepted: 11/16/2018] [Indexed: 01/20/2023]
Abstract
BACKGROUND AND AIMS Few studies have explored how polygenic propensity to cannabis use unfolds across development, and no studies have yet examined this question in the context of environmental contributions such as peer cannabis use. Outlining the factors that contribute to progression from cannabis initiation to problem use over time may ultimately provide insights into mechanisms for targeted interventions. We sought to examine the relationships between polygenic liability for cannabis use, cannabis use trajectories from ages 12-30 years and perceived peer cannabis use at ages 12-17 years. DESIGN Mixed-effect logistic and linear regressions were used to examine associations between polygenic risk scores, cannabis use trajectory membership and perceived peer cannabis use. SETTING United States. PARTICIPANTS From the Collaborative Study on the Genetics of Alcoholism (COGA) study, a cohort of 1167 individuals aged 12-26 years at their baseline (i.e. first) interview. MEASUREMENTS Key measurements included life-time cannabis use (yes/no), frequency of past 12-month cannabis use, maximum life-time frequency of cannabis use, cannabis use disorder (using DSM-5 criteria) and perceived peer cannabis use. Polygenic risk scores (PRS) were created using summary statistics from a large (n = 162 082) genome-wide association study (GWAS) of cannabis use. FINDINGS Three trajectories reflecting no/low (n = 844), moderate (n = 137) and high (n = 186) use were identified. PRS were significantly associated with trajectory membership [P = 0.002-0.006, maximum conditional R2 = 1.4%, odds ratios (ORs) = 1.40-1.49]. Individuals who reported that most/all of their best friends used cannabis had significantly higher PRS than those who reported that none of their friends were users [OR = 1.35, 95% confidence interval (CI) = 1.04, 1.75, P = 0.023]. Perceived peer use itself explained up to 11.3% of the variance in trajectory class membership (OR = 1.50-4.65). When peer cannabis use and the cannabis use PRS were entered into the model simultaneously, both the PRS and peer use continued to be significantly associated with class membership (P < 0.01). CONCLUSIONS Genetic propensity to cannabis use derived from heterogeneous samples appears to correlate with longitudinal increases in cannabis use frequency in young adults.
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Affiliation(s)
- Emma C Johnson
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
| | - Rebecca Tillman
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
| | - Fazil Aliev
- Department of Psychology, Virginia Commonwealth University, Richmond, VA, USA
- Department of Actuarial and Risk Management, Faculty of Business, Karabuk University, Turkey
| | - Jacquelyn L Meyers
- Department of Psychiatry, SUNY Downstate Medical Center, Brooklyn, NY, USA
| | - Jessica E Salvatore
- Department of Psychology, Virginia Commonwealth University, Richmond, VA, USA
| | - Andrey P Anokhin
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
| | - Danielle M Dick
- Department of Psychology, Virginia Commonwealth University, Richmond, VA, USA
- Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - Howard J Edenberg
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - John R Kramer
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Samuel Kuperman
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Vivia V McCutcheon
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
| | - John I Nurnberger
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Bernice Porjesz
- Department of Psychiatry, SUNY Downstate Medical Center, Brooklyn, NY, USA
| | - Marc A Schuckit
- Department of Psychiatry, University of California San Diego Medical School, San Diego, CA, USA
| | - Jay Tischfield
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA
| | - Kathleen K Bucholz
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
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28
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Tabakin AL, Sadimin ET, Tereshchenko I, Kareddula A, Stein MN, Mayer T, Hirshfield KM, Kim IY, Tischfield J, DiPaola RS, Singer EA. Correlation of Prostate Cancer CHD1 Status with Response to Androgen Deprivation Therapy: a Pilot Study. J Genitourin Disord 2018; 2:1006. [PMID: 30714046 PMCID: PMC6358174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
INTRODUCTION CHD1 has been identified as a tumor suppressor gene in prostate cancer. Previous studies have shown strong associations between CHD1 deletion, prostate specific antigen [PSA] recurrence, and absence of ERG fusion. In this preliminary study we seek to find whether there is an independent correlation between CHD1 status and response to androgen deprivation therapy[ADT]. MATERIALS AND METHODS We identified 11 patients with prostate cancer who underwent prostatectomy and received at least 7 months of ADT at our institution. They were divided into undetectable [PSA < 0.2 ng/mL; n = 8] and detectable [PSA > 0.2 ng/mL; n = 3] according to their serum PSA nadir after 7 months of ADT. Tissue microarray was generated from their formalin-fixed paraffin-embedded prostatectomy and involved lymph node tissues. Fluorescence in situ hybridization [FISH] analysis for CHD1 and immunohistochemical stains for PSA, AR, PTEN, ERG and SPINK1 were performed. RESULTS Our results showed heterogeneity of FISH and immunostains expressions in different foci of tumor. Status of CHD1, ERG, PTEN, or SPINK1 did not correlate with one another or with response to ADT. CONCLUSIONS Additional larger studies may be needed to further elucidate trends between these biomarkers and clinical outcomes in prostate cancer patients.
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Affiliation(s)
- Alexandra L. Tabakin
- Division of Urologic Oncology, Rutgers Cancer Institute of New Jersey and Rutgers Robert Wood Johnson Medical School, USA
| | - Evita T. Sadimin
- Section of Pathologic Oncology, Rutgers Cancer Institute of New Jersey and Rutgers Robert Wood Johnson Medical School, USA
| | - Irina Tereshchenko
- Division of Medical Oncology, Rutgers Cancer Institute of New Jersey and Rutgers Robert Wood Johnson Medical School, USA
| | - Aparna Kareddula
- Division of Medical Oncology, Rutgers Cancer Institute of New Jersey and Rutgers Robert Wood Johnson Medical School, USA
| | - Mark N. Stein
- Division of Medical Oncology, Rutgers Cancer Institute of New Jersey and Rutgers Robert Wood Johnson Medical School, USA
| | - Tina Mayer
- Division of Medical Oncology, Rutgers Cancer Institute of New Jersey and Rutgers Robert Wood Johnson Medical School, USA
| | - Kim M. Hirshfield
- Division of Medical Oncology, Rutgers Cancer Institute of New Jersey and Rutgers Robert Wood Johnson Medical School, USA
| | - Isaac Y. Kim
- Division of Urologic Oncology, Rutgers Cancer Institute of New Jersey and Rutgers Robert Wood Johnson Medical School, USA
| | - Jay Tischfield
- Department of Genetics, Human Genetics Institute of New Jersey and Rutgers University, USA
| | - Robert S. DiPaola
- Division of Medical Oncology, Rutgers Cancer Institute of New Jersey and Rutgers Robert Wood Johnson Medical School, USA
| | - Eric A. Singer
- Division of Urologic Oncology, Rutgers Cancer Institute of New Jersey and Rutgers Robert Wood Johnson Medical School, USA
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29
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Aijaz A, Li M, Smith D, Khong D, LeBlon C, Fenton OS, Olabisi RM, Libutti S, Tischfield J, Maus MV, Deans R, Barcia RN, Anderson DG, Ritz J, Preti R, Parekkadan B. Biomanufacturing for clinically advanced cell therapies. Nat Biomed Eng 2018; 2:362-376. [PMID: 31011198 PMCID: PMC6594100 DOI: 10.1038/s41551-018-0246-6] [Citation(s) in RCA: 101] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2017] [Accepted: 05/08/2018] [Indexed: 02/07/2023]
Abstract
The achievements of cell-based therapeutics have galvanized efforts to bring cell therapies to the market. To address the demands of the clinical and eventual commercial-scale production of cells, and with the increasing generation of large clinical datasets from chimeric antigen receptor T-cell immunotherapy, from transplants of engineered haematopoietic stem cells and from other promising cell therapies, an emphasis on biomanufacturing requirements becomes necessary. Robust infrastructure should address current limitations in cell harvesting, expansion, manipulation, purification, preservation and formulation, ultimately leading to successful therapy administration to patients at an acceptable cost. In this Review, we highlight case examples of cutting-edge bioprocessing technologies that improve biomanufacturing efficiency for cell therapies approaching clinical use.
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Affiliation(s)
- Ayesha Aijaz
- Department of Biomedical Engineering, Rutgers University, Piscataway, NJ, USA
| | - Matthew Li
- Department of Surgery, Center for Surgery, Innovation, and Bioengineering, Massachusetts General Hospital, Harvard Medical School and Shriners Hospitals for Children, Boston, MA, USA
| | - David Smith
- Hitachi Chemical Advanced Therapeutics Solutions, Allendale, NJ, USA
| | - Danika Khong
- Department of Surgery, Center for Surgery, Innovation, and Bioengineering, Massachusetts General Hospital, Harvard Medical School and Shriners Hospitals for Children, Boston, MA, USA
| | - Courtney LeBlon
- Hitachi Chemical Advanced Therapeutics Solutions, Allendale, NJ, USA
| | - Owen S Fenton
- Department of Chemical Engineering, Institute for Medical Engineering and Science, Division of Health Science and Technology, and the David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Ronke M Olabisi
- Department of Biomedical Engineering, Rutgers University, Piscataway, NJ, USA
| | | | - Jay Tischfield
- Human Genetics Institute of New Jersey, RUCDR, Piscataway, NJ, USA
| | - Marcela V Maus
- Cellular Immunotherapy Program, Cancer Center, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | | | | | - Daniel G Anderson
- Department of Chemical Engineering, Institute for Medical Engineering and Science, Division of Health Science and Technology, and the David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Jerome Ritz
- Cell Manipulation Core Facility, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Harvard Stem Cell Institute, Cambridge, MA, USA
| | - Robert Preti
- Hitachi Chemical Advanced Therapeutics Solutions, Allendale, NJ, USA
| | - Biju Parekkadan
- Department of Biomedical Engineering, Rutgers University, Piscataway, NJ, USA.
- Department of Surgery, Center for Surgery, Innovation, and Bioengineering, Massachusetts General Hospital, Harvard Medical School and Shriners Hospitals for Children, Boston, MA, USA.
- Sentien Biotechnologies, Inc, Lexington, MA, USA.
- Harvard Stem Cell Institute, Cambridge, MA, USA.
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Kuperman S, Chan G, Kramer J, Wetherill L, Acion L, Edenberg HJ, Foroud TM, Nurnberger J, Agrawal A, Anokhin A, Brooks A, Hesselbrock V, Hesselbrock M, Schuckit M, Tischfield J, Liu X. A GABRA2 polymorphism improves a model for prediction of drinking initiation. Alcohol 2017; 63:1-8. [PMID: 28847377 PMCID: PMC5657392 DOI: 10.1016/j.alcohol.2017.03.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2016] [Revised: 03/04/2017] [Accepted: 03/06/2017] [Indexed: 12/11/2022]
Abstract
BACKGROUND Survival analysis was used to explore the addition of a single nucleotide polymorphism (SNP) and covariates (sex, interview age, and ancestry) on a previously published model's ability to predict onset of drinking. A SNP variant of rs279871, in the chromosome 4 gene encoding gamma-aminobutyric acid receptor (GABRA2), was selected due to its associations with alcoholism in young adults and with behaviors that increased risk for early drinking. METHODS A subsample of 674 adolescents (ages 14-17) participating in the Collaborative Study on the Genetics of Alcoholism (COGA) was examined using a previously derived Cox proportional hazards model containing: 1) number of non-drinking related conduct disorder (CD) symptoms, 2) membership in a high-risk alcohol-dependent (AD) family, 3) most best friends drank (MBFD), 4) Achenbach Youth Self Report (YSR) externalizing score, and 5) YSR social problems score. The above covariates along with the SNP variant of GABRA2, rs279871, were added to this model. Five new prototype models were examined. The most parsimonious model was chosen based on likelihood ratio tests and model fit statistics. RESULTS The final model contained four of the five original predictors (YSR social problems score was no longer significant and hence dropped from subsequent models), the three covariates, and a recessive GABRA2 rs279871 TT genotype (two copies of the high-risk allele containing thymine). The model indicated that adolescents with the high-risk TT genotype were more likely to begin drinking than those without this genotype. CONCLUSIONS The joint effect of the gene (rs279871 TT genotype) and environment (MBFD) on adolescent alcohol initiation is additive, but not interactive, after controlling for behavior problems (CD and YSR externalizing score). This suggests that the impact of the high-risk TT genotype on the onset of drinking is affected by controlling for peer drinking and does not include genotype-by-environment interactions.
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Affiliation(s)
- Samuel Kuperman
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA.
| | - Grace Chan
- Department of Psychiatry, University of Connecticut Health Center, Farmington, CT, USA
| | - John Kramer
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Leah Wetherill
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Laura Acion
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Howard J Edenberg
- Department of Biochemistry & Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Tatiana M Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - John Nurnberger
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Andrey Anokhin
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Andrew Brooks
- Department of Genetics, Rutgers University, Piscataway, NJ, USA
| | - Victor Hesselbrock
- Department of Psychiatry, University of Connecticut Health Center, Farmington, CT, USA
| | - Michie Hesselbrock
- Department of Psychiatry, University of Connecticut Health Center, Farmington, CT, USA
| | - Marc Schuckit
- Department of Psychiatry, University of California San Diego School of Medicine, La Jolla, CA, USA
| | - Jay Tischfield
- Department of Genetics, Rutgers University, Piscataway, NJ, USA
| | - Xiangtao Liu
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
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Zee T, Bose N, Zee J, Beck J, Yang S, Parihar J, Yang M, Damodar S, Hall D, O'Leary M, Ramanathan A, Gerona R, Killilea D, Chi T, Tischfield J, Sahota A, Kahn A, Kapahi P, Stoller M. MP12-12 ?-LIPOIC ACID SUPPRESSES CYSTINE STONE FORMATION IN A GENETIC MOUSE MODEL OF CYSTINURIA. J Urol 2017. [DOI: 10.1016/j.juro.2017.02.434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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32
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Zee T, Bose N, Zee J, Beck JN, Yang S, Parihar J, Yang M, Damodar S, Hall D, O’Leary MN, Ramanathan A, Gerona RR, Killilea DW, Chi T, Tischfield J, Sahota A, Kahn A, Stoller ML, Kapahi P. α-Lipoic acid treatment prevents cystine urolithiasis in a mouse model of cystinuria. Nat Med 2017; 23:288-290. [PMID: 28165480 PMCID: PMC5656064 DOI: 10.1038/nm.4280] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2016] [Accepted: 01/09/2017] [Indexed: 11/27/2022]
Abstract
Cystinuria is an incompletely dominant disorder characterized by defective urinary cystine reabsorption that results in the formation of cystine-based urinary stones. Current treatment options are limited in their effectiveness at preventing stone recurrence and are often poorly tolerated. We report that the nutritional supplement α-lipoic acid inhibits cystine stone formation in the Slc3a1-/- mouse model of cystinuria by increasing the solubility of urinary cystine. These findings identify a novel therapeutic strategy for the clinical treatment of cystinuria.
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Affiliation(s)
- Tiffany Zee
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
- Buck Institute for Research on Aging, Novato, CA, USA
| | - Neelanjan Bose
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
- Buck Institute for Research on Aging, Novato, CA, USA
| | - Jarcy Zee
- Arbor Research Collaborative for Health, Ann Arbor, MI, USA
| | - Jennifer N. Beck
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
- Buck Institute for Research on Aging, Novato, CA, USA
| | - See Yang
- Buck Institute for Research on Aging, Novato, CA, USA
| | - Jaspreet Parihar
- Division of Urology, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA
| | - Min Yang
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers University, Piscataway, NJ, USA
| | | | - David Hall
- Buck Institute for Research on Aging, Novato, CA, USA
| | | | | | - Roy R. Gerona
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Francisco, San Francisco, CA, USA
| | - David W. Killilea
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
- Nutrition & Metabolism Center, Children’s Hospital of Oakland Research Institute, Oakland, CA, USA
| | - Thomas Chi
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
| | - Jay Tischfield
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers University, Piscataway, NJ, USA
| | - Amrik Sahota
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers University, Piscataway, NJ, USA
| | - Arnold Kahn
- Buck Institute for Research on Aging, Novato, CA, USA
| | - Marshall L. Stoller
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
| | - Pankaj Kapahi
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
- Buck Institute for Research on Aging, Novato, CA, USA
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Meyers JL, Zhang J, Manz N, Rangaswamy M, Kamarajan C, Wetherill L, Chorlian DB, Kang SJ, Bauer L, Hesselbrock V, Kramer J, Kuperman S, Nurnberger JI, Tischfield J, Wang JC, Edenberg HJ, Goate A, Foroud T, Porjesz B. A genome wide association study of fast beta EEG in families of European ancestry. Int J Psychophysiol 2016; 115:74-85. [PMID: 28040410 DOI: 10.1016/j.ijpsycho.2016.12.008] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2015] [Revised: 12/08/2016] [Accepted: 12/15/2016] [Indexed: 11/25/2022]
Abstract
BACKGROUND Differences in fast beta (20-28Hz) electroencephalogram (EEG) oscillatory activity distinguish some individuals with psychiatric and substance use disorders, suggesting that it may be a useful endophenotype for studying the genetics of disorders characterized by neural hyper-excitability. Despite the high heritability estimates provided by twin and family studies, there have been relatively few genetic studies of beta EEG, and to date only one genetic association finding has replicated (i.e., GABRA2). METHOD In a sample of 1564 individuals from 117 families of European Ancestry (EA) drawn from the Collaborative Study on the Genetics of Alcoholism (COGA), we performed a Genome-Wide Association Study (GWAS) on resting-state fronto-central fast beta EEG power, adjusting regression models for family relatedness, age, sex, and ancestry. To further characterize genetic findings, we examined the functional and behavioral significance of GWAS findings. RESULTS Three intronic variants located within DSE (dermatan sulfate epimerase) on 6q22 were associated with fast beta EEG at a genome wide significant level (p<5×10-8). The most significant SNP was rs2252790 (p<2.6×10-8; MAF=0.36; β=0.135). rs2252790 is an eQTL for ROS1 expressed most robustly in the temporal cortex (p=1.2×10-6) and for DSE/TSPYL4 expressed most robustly in the hippocampus (p=7.3×10-4; β=0.29). Previous studies have indicated that DSE is involved in a network of genes integral to membrane organization; gene-based tests indicated that several variants within this network (i.e., DSE, ZEB2, RND3, MCTP1, and CTBP2) were also associated with beta EEG (empirical p<0.05), and of these genes, ZEB2 and CTBP2 were associated with DSM-V Alcohol Use Disorder (AUD; empirical p<0.05).' DISCUSSION In this sample of EA families enriched for AUDs, fast beta EEG is associated with variants within DSE on 6q22; the most significant SNP influences the mRNA expression of DSE and ROS1 in hippocampus and temporal cortex, brain regions important for beta EEG activity. Gene-based tests suggest evidence of association with related genes, ZEB2, RND3, MCTP1, CTBP2, and beta EEG. Converging data from GWAS, gene expression, and gene-networks presented in this study provide support for the role of genetic variants within DSE and related genes in neural hyperexcitability, and has highlighted two potential candidate genes for AUD and/or related neurological conditions: ZEB2 and CTBP2. However, results must be replicated in large, independent samples.
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Affiliation(s)
- Jacquelyn L Meyers
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY, USA.
| | - Jian Zhang
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY, USA
| | - Niklas Manz
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY, USA; Department of Physics, College of Wooster, Wooster, OH, USA
| | | | - Chella Kamarajan
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY, USA
| | - Leah Wetherill
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - David B Chorlian
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY, USA
| | - Sun J Kang
- Albany Stratton VA Medical Center, Albany, NY, USA
| | - Lance Bauer
- University of Connecticut School of Medicine, Farmington, CT, USA
| | | | - John Kramer
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - Samuel Kuperman
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - John I Nurnberger
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | | | | | - Howard J Edenberg
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA; Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Alison Goate
- Icahn School of Medicine at Mt. Sinai, New York, NY, USA
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Bernice Porjesz
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY, USA
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Alexander J, Potamianou H, Xing J, Deng L, Karagiannidis I, Tsetsos F, Drineas P, Tarnok Z, Rizzo R, Wolanczyk T, Farkas L, Nagy P, Szymanska U, Androutsos C, Tsironi V, Koumoula A, Barta C, Sandor P, Barr CL, Tischfield J, Paschou P, Heiman GA, Georgitsi M. Targeted Re-Sequencing Approach of Candidate Genes Implicates Rare Potentially Functional Variants in Tourette Syndrome Etiology. Front Neurosci 2016; 10:428. [PMID: 27708560 PMCID: PMC5030307 DOI: 10.3389/fnins.2016.00428] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2016] [Accepted: 09/02/2016] [Indexed: 12/13/2022] Open
Abstract
Although the genetic basis of Tourette Syndrome (TS) remains unclear, several candidate genes have been implicated. Using a set of 382 TS individuals of European ancestry we investigated four candidate genes for TS (HDC, SLITRK1, BTBD9, and SLC6A4) in an effort to identify possibly causal variants using a targeted re-sequencing approach by next generation sequencing technology. Identification of possible disease causing variants under different modes of inheritance was performed using the algorithms implemented in VAAST. We prioritized variants using Variant ranker and validated five rare variants via Sanger sequencing in HDC and SLITRK1, all of which are predicted to be deleterious. Intriguingly, one of the identified variants is in linkage disequilibrium with a variant that is included among the top hits of a genome-wide association study for response to citalopram treatment, an antidepressant drug with off-label use also in obsessive compulsive disorder. Our findings provide additional evidence for the implication of these two genes in TS susceptibility and the possible role of these proteins in the pathobiology of TS should be revisited.
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Affiliation(s)
- John Alexander
- Department of Molecular Biology and Genetics, Democritus University of Thrace Alexandroupoli, Greece
| | - Hera Potamianou
- Department of Molecular Biology and Genetics, Democritus University of Thrace Alexandroupoli, Greece
| | - Jinchuan Xing
- Department of Genetics, Rutgers, The State University of New JerseyPiscataway, NJ, USA; Human Genetics Institute of New Jersey, Rutgers, The State University of New JerseyPiscataway, NJ, USA
| | - Li Deng
- Department of Genetics, Rutgers, The State University of New JerseyPiscataway, NJ, USA; Human Genetics Institute of New Jersey, Rutgers, The State University of New JerseyPiscataway, NJ, USA
| | - Iordanis Karagiannidis
- Department of Molecular Biology and Genetics, Democritus University of Thrace Alexandroupoli, Greece
| | - Fotis Tsetsos
- Department of Molecular Biology and Genetics, Democritus University of Thrace Alexandroupoli, Greece
| | - Petros Drineas
- Computer Science Department, Purdue University West Lafayette, USA
| | - Zsanett Tarnok
- Vadaskert Clinic for Child and Adolescent Psychiatry Budapest, Hungary
| | - Renata Rizzo
- Department of Clinical and Experimental Medicine, University of Catania Catania, Italy
| | - Tomasz Wolanczyk
- Department of Child Psychiatry, Medical University of Warsaw Warsaw, Poland
| | - Luca Farkas
- Vadaskert Clinic for Child and Adolescent Psychiatry Budapest, Hungary
| | - Peter Nagy
- Vadaskert Clinic for Child and Adolescent Psychiatry Budapest, Hungary
| | - Urszula Szymanska
- Department of Child Psychiatry, Medical University of Warsaw Warsaw, Poland
| | - Christos Androutsos
- Child and Adolescent Psychiatry Clinic, Sismanoglio General Hospital of Attica Athens, Greece
| | - Vaia Tsironi
- Child and Adolescent Psychiatry Clinic, Sismanoglio General Hospital of Attica Athens, Greece
| | - Anastasia Koumoula
- Child and Adolescent Psychiatry Clinic, Sismanoglio General Hospital of Attica Athens, Greece
| | - Csaba Barta
- Molecular Biology and Pathobiochemistry, Institute of Medical Chemistry, Semmelweis University Budapest, Hungary
| | | | - Paul Sandor
- Department of Psychiatry, University of Toronto Toronto, ON, Canada
| | - Cathy L Barr
- Genetics and Development Division, Krembil Research Institute, University Health NetworkToronto, ON, Canada; Program in Neurosciences and Mental Health, The Hospital for Sick ChildrenToronto, ON, Canada
| | - Jay Tischfield
- Department of Genetics, Rutgers, The State University of New JerseyPiscataway, NJ, USA; Human Genetics Institute of New Jersey, Rutgers, The State University of New JerseyPiscataway, NJ, USA
| | - Peristera Paschou
- Department of Molecular Biology and Genetics, Democritus University of Thrace Alexandroupoli, Greece
| | - Gary A Heiman
- Department of Genetics, Rutgers, The State University of New JerseyPiscataway, NJ, USA; Human Genetics Institute of New Jersey, Rutgers, The State University of New JerseyPiscataway, NJ, USA
| | - Marianthi Georgitsi
- Department of Molecular Biology and Genetics, Democritus University of ThraceAlexandroupoli, Greece; Laboratory of General Biology, Department of Medicine, Aristotle University of ThessalonikiThessaloniki, Greece
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35
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Jansen R, Penninx BWJH, Madar V, Xia K, Milaneschi Y, Hottenga JJ, Hammerschlag AR, Beekman A, van der Wee N, Smit JH, Brooks AI, Tischfield J, Posthuma D, Schoevers R, van Grootheest G, Willemsen G, de Geus EJ, Boomsma DI, Wright FA, Zou F, Sun W, Sullivan PF. Gene expression in major depressive disorder. Mol Psychiatry 2016; 21:444. [PMID: 26100536 DOI: 10.1038/mp.2015.94] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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36
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Jansen R, Penninx BWJH, Madar V, Xia K, Milaneschi Y, Hottenga JJ, Hammerschlag AR, Beekman A, van der Wee N, Smit JH, Brooks AI, Tischfield J, Posthuma D, Schoevers R, van Grootheest G, Willemsen G, de Geus EJ, Boomsma DI, Wright FA, Zou F, Sun W, Sullivan PF. Gene expression in major depressive disorder. Mol Psychiatry 2016; 21:339-47. [PMID: 26008736 DOI: 10.1038/mp.2015.57] [Citation(s) in RCA: 116] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2014] [Revised: 03/26/2015] [Accepted: 04/07/2015] [Indexed: 12/15/2022]
Abstract
The search for genetic variants underlying major depressive disorder (MDD) has not yet provided firm leads to its underlying molecular biology. A complementary approach is to study gene expression in relation to MDD. We measured gene expression in peripheral blood from 1848 subjects from The Netherlands Study of Depression and Anxiety. Subjects were divided into current MDD (N=882), remitted MDD (N=635) and control (N=331) groups. MDD status and gene expression were measured again 2 years later in 414 subjects. The strongest gene expression differences were between the current MDD and control groups (129 genes at false-discovery rate, FDR<0.1). Gene expression differences across MDD status were largely unrelated to antidepressant use, inflammatory status and blood cell counts. Genes associated with MDD were enriched for interleukin-6 (IL-6)-signaling and natural killer (NK) cell pathways. We identified 13 gene expression clusters with specific clusters enriched for genes involved in NK cell activation (downregulated in current MDD, FDR=5.8 × 10(-5)) and IL-6 pathways (upregulated in current MDD, FDR=3.2 × 10(-3)). Longitudinal analyses largely confirmed results observed in the cross-sectional data. Comparisons of gene expression results to the Psychiatric Genomics Consortium (PGC) MDD genome-wide association study results revealed overlap with DVL3. In conclusion, multiple gene expression associations with MDD were identified and suggest a measurable impact of current MDD state on gene expression. Identified genes and gene clusters are enriched with immune pathways previously associated with the etiology of MDD, in line with the immune suppression and immune activation hypothesis of MDD.
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Affiliation(s)
- R Jansen
- Department of Psychiatry, VU University Medical Center, Neuroscience Campus Amsterdam, Amsterdam, The Netherlands
| | - B W J H Penninx
- Department of Psychiatry, VU University Medical Center, Neuroscience Campus Amsterdam, Amsterdam, The Netherlands
| | - V Madar
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC, USA
| | - K Xia
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - Y Milaneschi
- Department of Psychiatry, VU University Medical Center, Neuroscience Campus Amsterdam, Amsterdam, The Netherlands
| | - J J Hottenga
- Department of Biological Psychology, VU University Amsterdam, Neuroscience Campus Amsterdam, Amsterdam, The Netherlands
| | - A R Hammerschlag
- Department of Complex Trait Genetics, VU University Amsterdam, Center for Neurogenomics and Cognitive Research, Neuroscience Campus Amsterdam, Amsterdam, The Netherlands
| | - A Beekman
- Department of Psychiatry, VU University Medical Center, Neuroscience Campus Amsterdam, Amsterdam, The Netherlands
| | - N van der Wee
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands
| | - J H Smit
- Department of Psychiatry, VU University Medical Center, Neuroscience Campus Amsterdam, Amsterdam, The Netherlands
| | - A I Brooks
- Department of Genetics and the Human Genetics Institute, RUCDR Infinite Biologics, Rutgers University, New Brunswick, NJ, USA
| | - J Tischfield
- Department of Genetics and the Human Genetics Institute, RUCDR Infinite Biologics, Rutgers University, New Brunswick, NJ, USA
| | - D Posthuma
- Department of Complex Trait Genetics, VU University Amsterdam, Center for Neurogenomics and Cognitive Research, Neuroscience Campus Amsterdam, Amsterdam, The Netherlands.,Department of Clinical Genetics, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - R Schoevers
- Department of Psychiatry, University Medical Center Groningen, Groningen, The Netherlands
| | - G van Grootheest
- Department of Psychiatry, VU University Medical Center, Neuroscience Campus Amsterdam, Amsterdam, The Netherlands
| | - G Willemsen
- Department of Biological Psychology, VU University Amsterdam, Neuroscience Campus Amsterdam, Amsterdam, The Netherlands
| | - E J de Geus
- Department of Biological Psychology, VU University Amsterdam, Neuroscience Campus Amsterdam, Amsterdam, The Netherlands
| | - D I Boomsma
- Department of Biological Psychology, VU University Amsterdam, Neuroscience Campus Amsterdam, Amsterdam, The Netherlands
| | - F A Wright
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC, USA.,Department of Statistics, North Carolina State University, Raleigh, NC, USA.,Department of Biological Sciences, North Carolina State University, Raleigh, NC, USA
| | - F Zou
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC, USA
| | - W Sun
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - P F Sullivan
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA.,Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
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37
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Das DK, Tapias V, D'Aiuto L, Chowdari KV, Francis L, Zhi Y, Ghosh BA, Surti U, Tischfield J, Sheldon M, Moore JC, Fish K, Nimgaonkar V. Genetic and morphological features of human iPSC-derived neurons with chromosome 15q11.2 (BP1-BP2) deletions. Mol Neuropsychiatry 2015; 1:116-123. [PMID: 26528485 DOI: 10.1159/000430916] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
BACKGROUND Copy number variation on chromosome 15q11.2 (BP1-BP2) causes deletion of CYFIP1, NIPA1, NIPA2 and TUBGCP5; it also affects brain structure and elevates risk for several neurodevelopmental disorders that are associated with dendritic spine abnormalities. In rodents, altered cyfip1 expression changes dendritic spine morphology, motivating analyses of human neuronal cells derived from iPSCs (iPSC-neurons). METHODS iPSCs were generated from a mother and her offspring, both carrying the 15q11.2 (BP1-BP2) deletion, and a non-deletion control. Gene expression in the deletion region was estimated using quantitative real-time PCR assays. Neural progenitor cells (NPCs) and iPSC-neurons were characterized using immunocytochemistry. RESULTS CYFIP1, NIPA1, NIPA2 and TUBGCP5 gene expression was lower in iPSCs, NPCs and iPSC-neurons from the mother and her offspring in relation to control cells. CYFIP1 and PSD95 protein levels were lower in iPSC-neurons derived from the CNV bearing individuals using Western blot analysis. At 10 weeks post-differentiation, iPSC-neurons appeared to show dendritic spines and qualitative analysis suggested that dendritic morphology was altered in 15q11.2 deletion subjects compared with control cells. CONCLUSIONS The 15q11.2 (BP1-BP2) deletion is associated with reduced expression of four genes in iPSC-derived neuronal cells; it may also be associated altered iPSC-neuron dendritic morphology.
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Affiliation(s)
- D K Das
- University of Pittsburgh School of Medicine, Dept of Psychiatry
| | - V Tapias
- University of Pittsburgh, Dept. of Neurology
| | - L D'Aiuto
- University of Pittsburgh School of Medicine, Dept of Psychiatry
| | - K V Chowdari
- University of Pittsburgh School of Medicine, Dept of Psychiatry
| | - L Francis
- University of Pittsburgh School of Medicine, Dept of Psychiatry
| | - Y Zhi
- University of Pittsburgh School of Medicine, Dept of Psychiatry ; Tsinghua University School of Medicine
| | | | - U Surti
- University of Pittsburgh School of Medicine, Dept. of Pathology ; University of Pittsburgh, Graduate School of Public Health, Department of Human Genetics
| | - J Tischfield
- Dept. of Genetics and The Human Genome Institute of New Jersey, Rutgers, The State University of New Jersey
| | - M Sheldon
- Dept. of Genetics and The Human Genome Institute of New Jersey, Rutgers, The State University of New Jersey
| | - J C Moore
- Dept. of Genetics and The Human Genome Institute of New Jersey, Rutgers, The State University of New Jersey
| | - K Fish
- University of Pittsburgh School of Medicine, Dept of Psychiatry
| | - V Nimgaonkar
- University of Pittsburgh School of Medicine, Dept of Psychiatry ; University of Pittsburgh, Graduate School of Public Health, Department of Human Genetics
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Agrawal A, Lynskey MT, Kapoor M, Bucholz KK, Edenberg HJ, Schuckit M, Brooks A, Hesselbrock V, Kramer J, Saccone N, Tischfield J, Bierut LJ. Are genetic variants for tobacco smoking associated with cannabis involvement? Drug Alcohol Depend 2015; 150:183-7. [PMID: 25770649 PMCID: PMC4443812 DOI: 10.1016/j.drugalcdep.2015.02.029] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2014] [Revised: 02/18/2015] [Accepted: 02/19/2015] [Indexed: 01/25/2023]
Abstract
BACKGROUND Cannabis users are highly likely to also be tobacco cigarette smokers and a proportion of this comorbidity is attributable to shared genetic influences. Three large meta-analyses of genomewide association studies (GWAS) of tobacco smoking have identified multiple genomewide significant (p<5×10(-8)) single nucleotide polymorphisms (SNPs). We examine whether these SNPs are associated with tobacco smoking and with cannabis involvement in an independent sample. METHOD Eleven SNPs associated with cigarettes per day (CPD), ever versus never smoking and current smoking/smoking cessation at p<5×10(-8) were selected from three published meta-analyses. Association analyses were conducted with similar tobacco smoking measures in 2716 European-American subjects from the Study of Addictions Genes and Environment (SAGE) and with lifetime and current cannabis use and DSM-IV cannabis abuse/dependence. RESULTS Cannabis use and tobacco smoking correlated at 0.54. Rs16969968 in CHRNA5 (and its proxy, rs1051730 in CHRNA3) and rs1451240, a proxy for rs13280604 in CHRNB3, were associated with CPD after Bonferroni correction (p<0.006). rs1451240 was also associated with DSM-IV cannabis abuse/dependence. Rs6265 in BDNF was associated with smoking initiation, as in the original meta-analysis and also with lifetime cannabis use. Associations with cannabis involvement were no longer significant upon adjustment for the tobacco smoking measures. CONCLUSIONS The modest associations between cannabis involvement and SNPs for tobacco smoking were not independent of the comorbidity between tobacco and cannabis involvement. Larger samples of individuals might be required to articulate the specific genetic architecture of cannabis involvement.
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Affiliation(s)
- Arpana Agrawal
- Washington University School of Medicine, Department of Psychiatry, St. Louis, MO, USA.
| | | | - Manav Kapoor
- Washington University School of Medicine, Department of Psychiatry, St. Louis, MO, USA
| | - Kathleen K Bucholz
- Washington University School of Medicine, Department of Psychiatry, St. Louis, MO, USA
| | | | | | - Andrew Brooks
- Rutgers University, Department of Genetics, Piscataway, NJ, USA
| | - Victor Hesselbrock
- University of Connecticut Health Center, Department of Psychiatry, Farmington, CT, USA
| | - John Kramer
- University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Nancy Saccone
- Washington University School of Medicine, Department of Genetics, St. Louis, MO, USA
| | | | - Laura J Bierut
- Washington University School of Medicine, Department of Psychiatry, St. Louis, MO, USA
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39
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D’Aiuto L, Prasad KM, Upton CH, Viggiano L, Milosevic J, Raimondi G, McClain L, Chowdari K, Tischfield J, Sheldon M, Moore JC, Yolken RH, Kinchington PR, Nimgaonkar VL. Persistent infection by HSV-1 is associated with changes in functional architecture of iPSC-derived neurons and brain activation patterns underlying working memory performance. Schizophr Bull 2015; 41:123-32. [PMID: 24622295 PMCID: PMC4266288 DOI: 10.1093/schbul/sbu032] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND Herpes simplex virus, type 1 (HSV-1) commonly produces lytic mucosal lesions. It invariably initiates latent infection in sensory ganglia enabling persistent, lifelong infection. Acute HSV-1 encephalitis is rare and definitive evidence of latent infection in the brain is lacking. However, exposure untraceable to encephalitis has been repeatedly associated with impaired working memory and executive functions, particularly among schizophrenia patients. METHODS Patterns of HSV-1 infection and gene expression changes were examined in human induced pluripotent stem cell (iPSC)-derived neurons. Separately, differences in blood oxygenation level-dependent (BOLD) responses to working memory challenges using letter n-back tests were investigated using functional magnetic resonance imaging (fMRI) among schizophrenia cases/controls. RESULTS HSV-1 induced lytic changes in iPSC-derived glutamatergic neurons and neuroprogenitor cells. In neurons, HSV-1 also entered a quiescent state following coincubation with antiviral drugs, with distinctive changes in gene expression related to functions such as glutamatergic signaling. In the fMRI studies, main effects of schizophrenia (P = .001) and HSV-1 exposure (1-back, P = 1.76 × 10(-4); 2-back, P = 1.39 × 10(-5)) on BOLD responses were observed. We also noted increased BOLD responses in the frontoparietal, thalamus, and midbrain regions among HSV-1 exposed schizophrenia cases and controls, compared with unexposed persons. CONCLUSIONS The lytic/quiescent cycles in iPSC-derived neurons indicate that persistent neuronal infection can occur, altering cellular function. The fMRI studies affirm the associations between nonencephalitic HSV-1 infection and functional brain changes linked with working memory impairment. The fMRI and iPSC studies together provide putative mechanisms for the cognitive impairments linked to HSV-1 exposure.
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Affiliation(s)
- Leonardo D’Aiuto
- Department of Psychiatry, WPIC, University of Pittsburgh, School of Medicine, Pittsburgh PA;,These authors contributed equally to the article
| | - Konasale M. Prasad
- Department of Psychiatry, WPIC, University of Pittsburgh, School of Medicine, Pittsburgh PA;,These authors contributed equally to the article
| | - Catherine H. Upton
- Department of Psychiatry, WPIC, University of Pittsburgh, School of Medicine, Pittsburgh PA
| | - Luigi Viggiano
- Department of Biology, University of Bari “Aldo Moro”, Bari, Italy
| | - Jadranka Milosevic
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Giorgio Raimondi
- Department of Plastic and Reconstructive Surgery, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Lora McClain
- Department of Psychiatry, WPIC, University of Pittsburgh, School of Medicine, Pittsburgh PA
| | - Kodavali Chowdari
- Department of Psychiatry, WPIC, University of Pittsburgh, School of Medicine, Pittsburgh PA
| | - Jay Tischfield
- Department of Genetics and The Human Genome Institute of New Jersey, Rutgers, The State University of New Jersey, Piscataway, NJ
| | - Michael Sheldon
- Department of Genetics and The Human Genome Institute of New Jersey, Rutgers, The State University of New Jersey, Piscataway, NJ
| | - Jennifer C. Moore
- Department of Genetics and The Human Genome Institute of New Jersey, Rutgers, The State University of New Jersey, Piscataway, NJ
| | - Robert H. Yolken
- Stanley Division of Neurovirology, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Paul R. Kinchington
- Department of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, PA;,Department of Molecular Genetics & Biochemistry, University of Pittsburgh, Pittsburgh, PA
| | - Vishwajit L. Nimgaonkar
- Department of Psychiatry, WPIC, University of Pittsburgh, School of Medicine, Pittsburgh PA;,Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA,*To whom correspondence should be addressed; Western Psychiatric Institute and Clinic, TDH 441, 3811 O’Hara St, Pittsburgh, PA 15213, US; tel: 412-246-6353, fax: 412-246-6350, e-mail:
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40
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Kapoor M, Wang JC, Wetherill L, Le N, Bertelsen S, Hinrichs AL, Budde J, Agrawal A, Almasy L, Bucholz K, Dick DM, Harari O, Xiaoling X, Hesselbrock V, Kramer J, Nurnberger JI, Rice J, Schuckit M, Tischfield J, Porjesz B, Edenberg HJ, Bierut L, Foroud T, Goate A. Genome-wide survival analysis of age at onset of alcohol dependence in extended high-risk COGA families. Drug Alcohol Depend 2014; 142:56-62. [PMID: 24962325 PMCID: PMC4127128 DOI: 10.1016/j.drugalcdep.2014.05.023] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2014] [Revised: 05/24/2014] [Accepted: 05/29/2014] [Indexed: 12/13/2022]
Abstract
BACKGROUND The age at onset of alcohol dependence (AD) is a critical moderator of genetic associations for alcohol dependence. The present study evaluated whether single nucleotide polymorphisms (SNPs) can influence the age at onset of AD in large high-risk families from the Collaborative Study on the Genetics of Alcoholism (COGA). METHODS Genomewide SNP genotyping was performed in 1788 regular drinkers from 118 large European American families densely affected with alcoholism. We used a genome-wide Cox proportional hazards regression model to test for association between age at onset of AD and SNPs. RESULTS This family-based analysis identified an intergenic SNP, rs2168784 on chromosome 3 that showed strong evidence of association (P=5×10(-9)) with age at onset of AD among regular drinkers. Carriers of the minor allele of rs2168784 had 1.5 times the hazard of AD onset as compared with those homozygous for the major allele. By the age of 20 years, nearly 30% of subjects homozygous for the minor allele were alcohol dependent while only 19% of those homozygous for the major allele were. We also identified intronic SNPs in the ADP-ribosylation factor like 15 (ARL15) gene on chromosome 5 (P=1.11×10(-8)) and the UTP20 small subunit (UTP20) gene on chromosome 12 (P=4.32×10(-8)) that were associated with age at onset of AD. CONCLUSIONS This extended family based genome-wide cox-proportional hazards analysis identified several loci that might be associated with age at onset of AD.
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Affiliation(s)
- Manav Kapoor
- Washington University School of Medicine, United States
| | | | | | - Nhung Le
- Washington University School of Medicine, United States
| | | | | | - John Budde
- Washington University School of Medicine, United States
| | | | - Laura Almasy
- Southwest Foundation for Biomedical Research, United States
| | | | | | - Oscar Harari
- Washington University School of Medicine, United States
| | - Xuei Xiaoling
- Indiana University School of Medicine, United States
| | | | - John Kramer
- University of Iowa Carver College of Medicine, United States
| | | | - John Rice
- Washington University School of Medicine, United States
| | | | | | | | | | - Laura Bierut
- Washington University School of Medicine, United States
| | | | - Alison Goate
- Washington University School of Medicine, United States.
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41
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Wright FA, Sullivan PF, Brooks AI, Zou F, Sun W, Xia K, Madar V, Jansen R, Chung W, Zhou YH, Abdellaoui A, Batista S, Butler C, Chen G, Chen TH, D'Ambrosio D, Gallins P, Ha MJ, Hottenga JJ, Huang S, Kattenberg M, Kochar J, Middeldorp CM, Qu A, Shabalin A, Tischfield J, Todd L, Tzeng JY, van Grootheest G, Vink JM, Wang Q, Wang W, Wang W, Willemsen G, Smit JH, de Geus EJ, Yin Z, Penninx BWJH, Boomsma DI. Heritability and genomics of gene expression in peripheral blood. Nat Genet 2014; 46:430-7. [PMID: 24728292 PMCID: PMC4012342 DOI: 10.1038/ng.2951] [Citation(s) in RCA: 246] [Impact Index Per Article: 24.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2012] [Accepted: 03/14/2014] [Indexed: 12/14/2022]
Abstract
We assessed gene expression profiles in 2,752 twins, using a classic twin design to quantify expression heritability and quantitative trait loci (eQTLs) in peripheral blood. The most highly heritable genes (∼777) were grouped into distinct expression clusters, enriched in gene-poor regions, associated with specific gene function or ontology classes, and strongly associated with disease designation. The design enabled a comparison of twin-based heritability to estimates based on dizygotic identity-by-descent sharing and distant genetic relatedness. Consideration of sampling variation suggests that previous heritability estimates have been upwardly biased. Genotyping of 2,494 twins enabled powerful identification of eQTLs, which we further examined in a replication set of 1,895 unrelated subjects. A large number of non-redundant local eQTLs (6,756) met replication criteria, whereas a relatively small number of distant eQTLs (165) met quality control and replication standards. Our results provide a new resource toward understanding the genetic control of transcription.
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Affiliation(s)
- Fred A Wright
- 1] Bioinformatics Research Center, North Carolina State University, Raleigh, North Carolina, USA. [2] Department of Statistics, North Carolina State University, Raleigh, North Carolina, USA. [3] Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, USA. [4]
| | - Patrick F Sullivan
- 1] Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. [2]
| | - Andrew I Brooks
- Department of Genetics, Rutgers University, New Brunswick, New Jersey, USA
| | - Fei Zou
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Wei Sun
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Kai Xia
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Vered Madar
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Rick Jansen
- Department of Psychiatry, VU Medical Center, Amsterdam, The Netherlands
| | - Wonil Chung
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Yi-Hui Zhou
- 1] Bioinformatics Research Center, North Carolina State University, Raleigh, North Carolina, USA. [2] Department of Statistics, North Carolina State University, Raleigh, North Carolina, USA
| | - Abdel Abdellaoui
- Department of Biological Psychology, VU University, Amsterdam, The Netherlands
| | - Sandra Batista
- Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Casey Butler
- Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Guanhua Chen
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Ting-Huei Chen
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - David D'Ambrosio
- Environmental and Occupational Health Sciences Institute, Rutgers University, New Brunswick, New Jersey, USA
| | - Paul Gallins
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Min Jin Ha
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Jouke Jan Hottenga
- Department of Biological Psychology, VU University, Amsterdam, The Netherlands
| | - Shunping Huang
- Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Mathijs Kattenberg
- Department of Biological Psychology, VU University, Amsterdam, The Netherlands
| | - Jaspreet Kochar
- Environmental and Occupational Health Sciences Institute, Rutgers University, New Brunswick, New Jersey, USA
| | | | - Ani Qu
- Environmental and Occupational Health Sciences Institute, Rutgers University, New Brunswick, New Jersey, USA
| | - Andrey Shabalin
- Department of Pharmacotherapy and Outcomes Science, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Jay Tischfield
- Department of Genetics, Rutgers University, New Brunswick, New Jersey, USA
| | - Laura Todd
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Jung-Ying Tzeng
- 1] Bioinformatics Research Center, North Carolina State University, Raleigh, North Carolina, USA. [2] Department of Statistics, North Carolina State University, Raleigh, North Carolina, USA
| | | | - Jacqueline M Vink
- Department of Biological Psychology, VU University, Amsterdam, The Netherlands
| | - Qi Wang
- Environmental and Occupational Health Sciences Institute, Rutgers University, New Brunswick, New Jersey, USA
| | - Wei Wang
- Department of Computer Science, University of California, Los Angeles, Los Angeles, California, USA
| | - Weibo Wang
- Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Gonneke Willemsen
- Department of Biological Psychology, VU University, Amsterdam, The Netherlands
| | - Johannes H Smit
- Department of Psychiatry, VU Medical Center, Amsterdam, The Netherlands
| | - Eco J de Geus
- Department of Biological Psychology, VU University, Amsterdam, The Netherlands
| | - Zhaoyu Yin
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | | | - Dorret I Boomsma
- Department of Biological Psychology, VU University, Amsterdam, The Netherlands
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42
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Parihar J, Capaccione K, Yang M, Adler D, Gordon D, Barone J, Goldfarb D, Tischfield J, Sahota A. PD32-06 ASSESSMENT OF PHARMACOLOGIC INTERVENTION ON CYSTINE STONE GROWTH USING IN VIVO IMAGING IN A MOUSE MODEL OF CYSTINURIA. J Urol 2014. [DOI: 10.1016/j.juro.2014.02.2277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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43
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Sadler B, Haller G, Agrawal A, Culverhouse R, Bucholz K, Brooks A, Tischfield J, Johnson EO, Edenberg H, Schuckit M, Saccone N, Bierut L, Goate A. Variants near CHRNB3-CHRNA6 are associated with DSM-5 cocaine use disorder: evidence for pleiotropy. Sci Rep 2014; 4:4497. [PMID: 24675634 PMCID: PMC4894386 DOI: 10.1038/srep04497] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2013] [Accepted: 02/26/2014] [Indexed: 12/16/2022] Open
Abstract
In the U.S.A., cocaine is the second most abused illicit drug. Variants within the CHRNB3-A6 gene cluster have been associated with cigarette consumption in several GWAS. These receptors represent intriguing candidates for the study of cocaine dependence because nicotinic receptors are thought to be involved in generalized addiction pathways. Using genotypic data from a GWAS of the Study of Addiction: Genetics and Environment (SAGE) dataset, we tested for association of CHRNB3-A6 SNPs with DSM-5 cocaine use disorder. Multiple SNPs in the region were significantly associated with increased risk of cocaine use disorder. Inclusion of the most significant SNP as a covariate in a linear regression model provided evidence for an additional independent signal within this locus for cocaine use disorder. These results suggest that the CHRNB3-A6 locus contains multiple variants affecting risk for vulnerability to cocaine and nicotine dependence as well as bipolar disorder, suggesting that they have pleiotropic effects.
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Affiliation(s)
- Brooke Sadler
- 1] School of Human Evolution and Social Change, Arizona State University, Tempe, AZ, USA [2] Department of Psychiatry, Washington University, St. Louis, MO, USA
| | - Gabe Haller
- 1] Department of Psychiatry, Washington University, St. Louis, MO, USA [2] Department of Genetics, Washington University, St. Louis, MO, USA
| | - Arpana Agrawal
- Department of Psychiatry, Washington University, St. Louis, MO, USA
| | - Rob Culverhouse
- Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Kathleen Bucholz
- Department of Psychiatry, Washington University, St. Louis, MO, USA
| | - Andy Brooks
- Department of Genetics, Rutgers University, Piscataway, NJ
| | - Jay Tischfield
- Department of Genetics, Rutgers University, Piscataway, NJ
| | - Eric O Johnson
- Division of Health, Social and Economic Research, Research Triangle Institute International, Research Triangle Park, NC
| | - Howard Edenberg
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN
| | - Marc Schuckit
- Department of Psychiatry, University of California-San Diego, La Jolla, CA
| | - Nancy Saccone
- Department of Genetics, Washington University, St. Louis, MO, USA
| | - Laura Bierut
- Department of Psychiatry, Washington University, St. Louis, MO, USA
| | - Alison Goate
- 1] Department of Psychiatry, Washington University, St. Louis, MO, USA [2] Department of Genetics, Washington University, St. Louis, MO, USA
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Haller G, Kapoor M, Budde J, Xuei X, Edenberg H, Nurnberger J, Kramer J, Brooks A, Tischfield J, Almasy L, Agrawal A, Bucholz K, Rice J, Saccone N, Bierut L, Goate A. Rare missense variants in CHRNB3 and CHRNA3 are associated with risk of alcohol and cocaine dependence. Hum Mol Genet 2013; 23:810-9. [PMID: 24057674 DOI: 10.1093/hmg/ddt463] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Previous findings have demonstrated that variants in nicotinic receptor genes are associated with nicotine, alcohol and cocaine dependence. Because of the substantial comorbidity, it has often been unclear whether a variant is associated with multiple substances or whether the association is actually with a single substance. To investigate the possible contribution of rare variants to the development of substance dependencies other than nicotine dependence, specifically alcohol and cocaine dependence, we undertook pooled sequencing of the coding regions and flanking sequence of CHRNA5, CHRNA3, CHRNB4, CHRNA6 and CHRNB3 in 287 African American and 1028 European American individuals from the Collaborative Study of the Genetics of Alcoholism (COGA). All members of families for whom any individual was sequenced (2504 African Americans and 7318 European Americans) were then genotyped for all variants identified by sequencing. For each gene, we then tested for association using FamSKAT. For European Americans, we find increased DSM-IV cocaine dependence symptoms (FamSKAT P = 2 × 10(-4)) and increased DSM-IV alcohol dependence symptoms (FamSKAT P = 5 × 10(-4)) among carriers of missense variants in CHRNB3. Additionally, one variant (rs149775276; H329Y) shows association with both cocaine dependence symptoms (P = 7.4 × 10(-5), β = 2.04) and alcohol dependence symptoms (P = 2.6 × 10(-4), β = 2.04). For African Americans, we find decreased cocaine dependence symptoms among carriers of missense variants in CHRNA3 (FamSKAT P = 0.005). Replication in an independent sample supports the role of rare variants in CHRNB3 and alcohol dependence (P = 0.006). These are the first results to implicate rare variants in CHRNB3 or CHRNA3 in risk for alcohol dependence or cocaine dependence.
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Chorlian DB, Rangaswamy M, Manz N, Wang JC, Dick D, Almasy L, Bauer L, Bucholz K, Foroud T, Hesselbrock V, Kang SJ, Kramer J, Kuperman S, Nurnberger J, Rice J, Schuckit M, Tischfield J, Edenberg HJ, Goate A, Bierut L, Porjesz B. Genetic and neurophysiological correlates of the age of onset of alcohol use disorders in adolescents and young adults. Behav Genet 2013; 43:386-401. [PMID: 23963516 PMCID: PMC4110722 DOI: 10.1007/s10519-013-9604-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2012] [Accepted: 07/26/2013] [Indexed: 10/26/2022]
Abstract
Discrete time survival analysis was used to assess the age-specific association of event-related oscillations (EROs) and CHRM2 gene variants on the onset of regular alcohol use and alcohol dependence. The subjects were 2,938 adolescents and young adults ages 12-25. Results showed that the CHRM2 gene variants and ERO risk factors had hazards which varied considerably with age. The bulk of the significant age-specific associations occurred in those whose age of onset was under 16. These associations were concentrated in those subjects who at some time took an illicit drug. These results are consistent with studies which associate greater rates of alcohol dependence among those who begin drinking at an early age. The age specificity of the genetic and neurophysiological factors is consistent with recent studies of adolescent brain development, which locate an interval of heightened vulnerability to substance use disorders in the early to mid teens.
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Affiliation(s)
- David B Chorlian
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, 450 Clarkson Ave., Brooklyn, NY, USA.
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Abstract
The state of cell differentiation in adult tissues was once thought to be permanent and irreversible. Since Dolly's cloning and, more recently, the generation of induced pluripotent stem cells (iPSCs) from differentiated cells, the traditional paradigm of cell identity has been reexamined. Much effort has been directed toward understanding how cellular identity is achieved and maintained, and studies are ongoing to investigate how cellular identity can be changed. Cell-specific transcription patterns can be altered by modulating the expression of a few transcription factors, which are known as master regulators of cell fate. Epigenetics also plays a major role in cell type specification because the differentiation process is accompanied by major chromatin remodeling. Moreover, whole-genome analyses reveal that nuclear architecture, as defined by the establishment of chromatin domains, regulates gene interactions in a cell-type-specific manner. In this paper, we review the current knowledge of chromatin states that are relevant to both pluripotency and gene expression during differentiation. Information about the epigenetic regulation of gene expression in iPSCs or naïve embryonic stem cells, compared with their differentiated derivatives, will be important as a practical consideration in the long-term maintenance of pluripotent cell cultures for therapeutic purposes.
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Affiliation(s)
- Lourdes Serrano
- Human Genetics Institute of New Jersey, Rutgers, The
State University of New Jersey, 145 Bevier Road, Piscataway, NJ 08854, USA
| | - Berta N Vazquez
- Human Genetics Institute of New Jersey, Rutgers, The
State University of New Jersey, 145 Bevier Road, Piscataway, NJ 08854, USA
| | - Jay Tischfield
- Human Genetics Institute of New Jersey, Rutgers, The
State University of New Jersey, 145 Bevier Road, Piscataway, NJ 08854, USA
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47
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Smelson D, Yu L, Buyske S, Gonzalez G, Tischfield J, Deutsch CK, Ziedonis D. Genetic association of GABA-A receptor alpha-2 and mu opioid receptor with cocaine cue-reactivity: evidence for inhibitory synaptic neurotransmission involvement in cocaine dependence. Am J Addict 2012; 21:411-5. [PMID: 22882391 PMCID: PMC3425941 DOI: 10.1111/j.1521-0391.2012.00253.x] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND This pilot feasibility study examined the role of genetics in laboratory-induced cocaine craving. METHODS Thirty-four African American, cocaine-depend- ent male subjects underwent a baseline assessment, cue-exposure session, and genetic analysis. Subjects were classified as either cue-reactive or nonreactive. RESULTS Among single nucleotide polymorphism markers in 13 candidate genes examined for association with cocaine cue-reactivity, two were statistically significant: GABRA2 (coding for GABA-A receptor alpha-2 subunit; rs11503014, nominal p= .001) and OPRM1 (coding for mu opioid receptor; rs2236256, nominal p= .03). CONCLUSIONS These pilot results suggest that cocaine craving shows variability among cocaine-dependent subjects, and that GABRA2 and OPRM1 polymorphisms have differential influences on cocaine cue-reactivity, warranting studies in future research.
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Affiliation(s)
- David Smelson
- Center for Health, Quality, Outcomes & Economic Research, Edith Norse Rogers VA Medical Center, Bedford, Massachusetts, USA.
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48
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Kang SJ, Rangaswamy M, Manz N, Wang JC, Wetherill L, Hinrichs T, Almasy L, Brooks A, Chorlian DB, Dick D, Hesselbrock V, Kramer J, Kuperman S, Nurnberger J, Rice J, Schuckit M, Tischfield J, Bierut LJ, Edenberg HJ, Goate A, Foroud T, Porjesz B. Family-based genome-wide association study of frontal θ oscillations identifies potassium channel gene KCNJ6. Genes Brain Behav 2012; 11:712-9. [PMID: 22554406 PMCID: PMC3666338 DOI: 10.1111/j.1601-183x.2012.00803.x] [Citation(s) in RCA: 47] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Event-related oscillations (EROs) represent highly heritable neuroelectric correlates of cognitive processes that manifest deficits in alcoholics and in offspring at high risk to develop alcoholism. Theta ERO to targets in the visual oddball task has been shown to be an endophenotype for alcoholism. A family-based genome-wide association study was performed for the frontal theta ERO phenotype using 634 583 autosomal single nucleotide polymorphisms (SNPs) genotyped in 1560 family members from 117 families densely affected by alcohol use disorders, recruited in the Collaborative Study on the Genetics of Alcoholism. Genome-wide significant association was found with several SNPs on chromosome 21 in KCNJ6 (a potassium inward rectifier channel; KIR3.2/GIRK2), with the most significant SNP at P = 4.7 × 10(-10)). The same SNPs were also associated with EROs from central and parietal electrodes, but with less significance, suggesting that the association is frontally focused. One imputed synonymous SNP in exon four, highly correlated with our top three SNPs, was significantly associated with the frontal theta ERO phenotype. These results suggest KCNJ6 or its product GIRK2 account for some of the variations in frontal theta band oscillations. GIRK2 receptor activation contributes to slow inhibitory postsynaptic potentials that modulate neuronal excitability, and therefore influence neuronal networks.
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Affiliation(s)
- Sun J. Kang
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY
| | - Madhavi Rangaswamy
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY
| | - Niklas Manz
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY
| | - Jen-Chyong Wang
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO
| | - Leah Wetherill
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN
| | - Tony Hinrichs
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO
| | - Laura Almasy
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX
| | - Andy Brooks
- Department of Genetics, Rutgers University, Piscataway, NJ
| | - David B. Chorlian
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY
| | - Danielle Dick
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA
| | - Victor Hesselbrock
- Department of Psychiatry, University of Connecticut Health Center, Farmington, CT
| | - John Kramer
- Department of Psychiatry, University of Iowa College of Medicine, Iowa City, IA
| | - Sam Kuperman
- Department of Psychiatry, University of Iowa College of Medicine, Iowa City, IA
| | - John Nurnberger
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN
| | - John Rice
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO
| | - Marc Schuckit
- Department of Psychiatry, University of California-San Diego, La Jolla, CA
| | - Jay Tischfield
- Department of Genetics, Rutgers University, Piscataway, NJ
| | - Laura J. Bierut
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO
| | - Howard J. Edenberg
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN
| | - Alison Goate
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO
| | - Tatiana Foroud
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN
| | - Bernice Porjesz
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY
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49
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Scharf J, Yu D, Mathews C, Neale B, Stewart E, Fagerness J, Evans P, Gamazon E, Service S, Osiecki L, Illmann C, Cath D, King R, Dion Y, Sandor P, Barr C, Budman C, Lyon G, Grados M, Singer H, Jankovic J, Gilbert D, Hoekstra P, Heiman G, Tischfield J, State M, Robertson M, Kurlan R, Ophoff R, Gibbs JR, Cookson M, Hardy J, Singleton A, Ruiz-Linares A, Rouleau G, Heutink P, Oostra B, McMahon W, Freimer N, COX N, Pauls D. Genome-Wide Association Study of Gilles de la Tourette Syndrome (IN10-1.002). Neurology 2012. [DOI: 10.1212/wnl.78.1_meetingabstracts.in10-1.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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50
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Scharf J, Yu D, Mathews C, Neale B, Stewart E, Fagerness J, Evans P, Gamazon E, Service S, Osiecki L, Illmann C, Cath D, King R, Dion Y, Sandor P, Barr C, Budman C, Lyon G, Grados M, Singer H, Jankovic J, Gilbert D, Hoekstra P, Heiman G, Tischfield J, State M, Robertson M, Kurlan R, Ophoff R, Gibbs JR, Cookson M, Hardy J, Singleton A, Ruiz-Linares A, Rouleau G, Heutink P, Oostra B, McMahon W, Freimer N, COX N, Pauls D. Genome-Wide Association Study of Gilles de la Tourette Syndrome (S32.006). Neurology 2012. [DOI: 10.1212/wnl.78.1_meetingabstracts.s32.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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