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Asgel Z, Kouakou MR, Koller D, Pathak GA, Cabrera-Mendoza B, Polimanti R. Unraveling COVID-19 relationship with anxiety disorders and symptoms using genome-wide data. J Affect Disord 2024; 352:333-341. [PMID: 38382819 PMCID: PMC10939738 DOI: 10.1016/j.jad.2024.02.061] [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] [Received: 08/07/2023] [Revised: 02/08/2024] [Accepted: 02/16/2024] [Indexed: 02/23/2024]
Abstract
BACKGROUND There is still a limited understanding of the dynamics contributing to the comorbidity of COVID-19 and anxiety outcomes. METHODS To dissect the pleiotropic mechanisms contributing to COVID-19/anxiety comorbidity, we used genome-wide data from UK Biobank (up to 420,531 participants), FinnGen Project (up to 329,077 participants), Million Veteran Program (175,163 participants), and COVID-19 Host Genetics Initiative (up to 122,616 cases and 2,475,240 controls). Specifically, we assessed global and local genetic correlation and genetically inferred effects linking COVID-19 outcomes (infection, hospitalization, and severe respiratory symptoms) to anxiety disorders and symptoms. RESULTS We observed a strong genetic correlation of anxiety disorder with COVID-19 positive status (rg = 0.35, p = 2×10-4) and COVID-19 hospitalization (rg = 0.31, p = 7.2×10-4). Among anxiety symptoms, "Tense, sore, or aching muscles during worst period of anxiety" was genetically correlated with COVID-19 positive status (rg = 0.33, p = 0.001), while "Frequent trouble falling or staying asleep during worst period of anxiety" was genetically correlated with COVID-19 hospitalization (rg = 0.24, p = 0.004). Through a latent causal variable analysis, we observed that COVID-19 outcomes have statistically significant genetic causality proportion (gcp) on anxiety symptoms (e.g., COVID-19 positive status→"Recent easy annoyance or irritability" │gcp│ = 0.18, p = 6.72×10-17). Conversely, anxiety disorders appear to have a possible causal effect on COVID-19 (│gcp│ = 0.38, p = 3.17×10-9). Additionally, we also identified multiple loci with evidence of local genetic correlation between anxiety and COVID-19. These appear to be related to genetic effects shared with lung function, brain morphology, alcohol and tobacco use, and hematologic parameters. CONCLUSIONS This study provided insights into the pleiotropic mechanisms linking COVID-19 and anxiety outcomes, suggesting differences between dynamics related to anxiety disorders and those related to anxiety symptoms.
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Affiliation(s)
- Zeynep Asgel
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Manuela R Kouakou
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Dora Koller
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA; Department of Genetics, Microbiology, and Statistics, Faculty of Biology, University of Barcelona, Catalonia, Spain
| | - Gita A Pathak
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA; VA Connecticut Healthcare System, West Haven, CT, USA
| | - Brenda Cabrera-Mendoza
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA; VA Connecticut Healthcare System, West Haven, CT, USA
| | - Renato Polimanti
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA; VA Connecticut Healthcare System, West Haven, CT, USA; Wu Tsai Institute, Yale University, New Haven, CT, USA.
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Nievergelt CM, Maihofer AX, Atkinson EG, Chen CY, Choi KW, Coleman JRI, Daskalakis NP, Duncan LE, Polimanti R, Aaronson C, Amstadter AB, Andersen SB, Andreassen OA, Arbisi PA, Ashley-Koch AE, Austin SB, Avdibegoviç E, Babić D, Bacanu SA, Baker DG, Batzler A, Beckham JC, Belangero S, Benjet C, Bergner C, Bierer LM, Biernacka JM, Bierut LJ, Bisson JI, Boks MP, Bolger EA, Brandolino A, Breen G, Bressan RA, Bryant RA, Bustamante AC, Bybjerg-Grauholm J, Bækvad-Hansen M, Børglum AD, Børte S, Cahn L, Calabrese JR, Caldas-de-Almeida JM, Chatzinakos C, Cheema S, Clouston SAP, Colodro-Conde L, Coombes BJ, Cruz-Fuentes CS, Dale AM, Dalvie S, Davis LK, Deckert J, Delahanty DL, Dennis MF, Desarnaud F, DiPietro CP, Disner SG, Docherty AR, Domschke K, Dyb G, Kulenović AD, Edenberg HJ, Evans A, Fabbri C, Fani N, Farrer LA, Feder A, Feeny NC, Flory JD, Forbes D, Franz CE, Galea S, Garrett ME, Gelaye B, Gelernter J, Geuze E, Gillespie CF, Goleva SB, Gordon SD, Goçi A, Grasser LR, Guindalini C, Haas M, Hagenaars S, Hauser MA, Heath AC, Hemmings SMJ, Hesselbrock V, Hickie IB, Hogan K, Hougaard DM, Huang H, Huckins LM, Hveem K, Jakovljević M, Javanbakht A, Jenkins GD, Johnson J, Jones I, Jovanovic T, Karstoft KI, Kaufman ML, Kennedy JL, Kessler RC, Khan A, Kimbrel NA, King AP, Koen N, Kotov R, Kranzler HR, Krebs K, Kremen WS, Kuan PF, Lawford BR, Lebois LAM, Lehto K, Levey DF, Lewis C, Liberzon I, Linnstaedt SD, Logue MW, Lori A, Lu Y, Luft BJ, Lupton MK, Luykx JJ, Makotkine I, Maples-Keller JL, Marchese S, Marmar C, Martin NG, Martínez-Levy GA, McAloney K, McFarlane A, McLaughlin KA, McLean SA, Medland SE, Mehta D, Meyers J, Michopoulos V, Mikita EA, Milani L, Milberg W, Miller MW, Morey RA, Morris CP, Mors O, Mortensen PB, Mufford MS, Nelson EC, Nordentoft M, Norman SB, Nugent NR, O'Donnell M, Orcutt HK, Pan PM, Panizzon MS, Pathak GA, Peters ES, Peterson AL, Peverill M, Pietrzak RH, Polusny MA, Porjesz B, Powers A, Qin XJ, Ratanatharathorn A, Risbrough VB, Roberts AL, Rothbaum AO, Rothbaum BO, Roy-Byrne P, Ruggiero KJ, Rung A, Runz H, Rutten BPF, de Viteri SS, Salum GA, Sampson L, Sanchez SE, Santoro M, Seah C, Seedat S, Seng JS, Shabalin A, Sheerin CM, Silove D, Smith AK, Smoller JW, Sponheim SR, Stein DJ, Stensland S, Stevens JS, Sumner JA, Teicher MH, Thompson WK, Tiwari AK, Trapido E, Uddin M, Ursano RJ, Valdimarsdóttir U, Van Hooff M, Vermetten E, Vinkers CH, Voisey J, Wang Y, Wang Z, Waszczuk M, Weber H, Wendt FR, Werge T, Williams MA, Williamson DE, Winsvold BS, Winternitz S, Wolf C, Wolf EJ, Xia Y, Xiong Y, Yehuda R, Young KA, Young RM, Zai CC, Zai GC, Zervas M, Zhao H, Zoellner LA, Zwart JA, deRoon-Cassini T, van Rooij SJH, van den Heuvel LL, Stein MB, Ressler KJ, Koenen KC. Genome-wide association analyses identify 95 risk loci and provide insights into the neurobiology of post-traumatic stress disorder. Nat Genet 2024:10.1038/s41588-024-01707-9. [PMID: 38637617 DOI: 10.1038/s41588-024-01707-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 03/05/2024] [Indexed: 04/20/2024]
Abstract
Post-traumatic stress disorder (PTSD) genetics are characterized by lower discoverability than most other psychiatric disorders. The contribution to biological understanding from previous genetic studies has thus been limited. We performed a multi-ancestry meta-analysis of genome-wide association studies across 1,222,882 individuals of European ancestry (137,136 cases) and 58,051 admixed individuals with African and Native American ancestry (13,624 cases). We identified 95 genome-wide significant loci (80 new). Convergent multi-omic approaches identified 43 potential causal genes, broadly classified as neurotransmitter and ion channel synaptic modulators (for example, GRIA1, GRM8 and CACNA1E), developmental, axon guidance and transcription factors (for example, FOXP2, EFNA5 and DCC), synaptic structure and function genes (for example, PCLO, NCAM1 and PDE4B) and endocrine or immune regulators (for example, ESR1, TRAF3 and TANK). Additional top genes influence stress, immune, fear and threat-related processes, previously hypothesized to underlie PTSD neurobiology. These findings strengthen our understanding of neurobiological systems relevant to PTSD pathophysiology, while also opening new areas for investigation.
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Affiliation(s)
- Caroline M Nievergelt
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA.
- Veterans Affairs San Diego Healthcare System, Center of Excellence for Stress and Mental Health, San Diego, CA, USA.
- Veterans Affairs San Diego Healthcare System, Research Service, San Diego, CA, USA.
| | - Adam X Maihofer
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Veterans Affairs San Diego Healthcare System, Center of Excellence for Stress and Mental Health, San Diego, CA, USA
- Veterans Affairs San Diego Healthcare System, Research Service, San Diego, CA, USA
| | - Elizabeth G Atkinson
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Chia-Yen Chen
- Biogen Inc.,Translational Sciences, Cambridge, MA, USA
| | - Karmel W Choi
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Jonathan R I Coleman
- King's College London, National Institute for Health and Care Research Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK
- King's College London, Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - Nikolaos P Daskalakis
- Broad Institute of MIT and Harvard, Stanley Center for Psychiatric Research, Cambridge, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- McLean Hospital, Center of Excellence in Depression and Anxiety Disorders, Belmont, MA, USA
| | - Laramie E Duncan
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Renato Polimanti
- VA Connecticut Healthcare Center, West Haven, CT, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Cindy Aaronson
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Ananda B Amstadter
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Richmond, VA, USA
| | - Soren B Andersen
- The Danish Veteran Centre, Research and Knowledge Centre, Ringsted, Denmark
| | - Ole A Andreassen
- Oslo University Hospital, Division of Mental Health and Addiction, Oslo, Norway
- University of Oslo, Institute of Clinical Medicine, Oslo, Norway
| | - Paul A Arbisi
- Minneapolis VA Health Care System, Mental Health Service Line, Minneapolis, MN, USA
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, USA
| | | | - S Bryn Austin
- Boston Children's Hospital, Division of Adolescent and Young Adult Medicine, Boston, MA, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Esmina Avdibegoviç
- Department of Psychiatry, University Clinical Center of Tuzla, Tuzla, Bosnia and Herzegovina
| | - Dragan Babić
- Department of Psychiatry, University Clinical Center of Mostar, Mostar, Bosnia and Herzegovina
| | - Silviu-Alin Bacanu
- Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
| | - Dewleen G Baker
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Veterans Affairs San Diego Healthcare System, Center of Excellence for Stress and Mental Health, San Diego, CA, USA
- Veterans Affairs San Diego Healthcare System, Psychiatry Service, San Diego, CA, USA
| | - Anthony Batzler
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Jean C Beckham
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
- Research, Durham VA Health Care System, Durham, NC, USA
- VA Mid-Atlantic Mental Illness Research, Education, and Clinical Center (MIRECC), Genetics Research Laboratory, Durham, NC, USA
| | - Sintia Belangero
- Department of Morphology and Genetics, Universidade Federal de São Paulo, São Paulo, Brazil
- Department of Psychiatry, Universidade Federal de São Paulo, Laboratory of Integrative Neuroscience, São Paulo, Brazil
| | - Corina Benjet
- Instituto Nacional de Psiquiatraía Ramón de la Fuente Muñiz, Center for Global Mental Health, Mexico City, Mexico
| | - Carisa Bergner
- Medical College of Wisconsin, Comprehensive Injury Center, Milwaukee, WI, USA
| | - Linda M Bierer
- Department of Psychiatry, James J. Peters VA Medical Center, Bronx, NY, USA
| | - Joanna M Biernacka
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - Laura J Bierut
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Jonathan I Bisson
- Cardiff University, National Centre for Mental Health, MRC Centre for Psychiatric Genetics and Genomics, Cardiff, UK
| | - Marco P Boks
- Department of Psychiatry, Brain Center University Medical Center Utrecht, Utrecht, The Netherlands
| | - Elizabeth A Bolger
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- McLean Hospital, Belmont, MA, USA
| | - Amber Brandolino
- Department of Surgery, Division of Trauma & Acute Care Surgery, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Gerome Breen
- King's College London, Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, London, UK
- King's College London, NIHR Maudsley BRC, London, UK
| | - Rodrigo Affonseca Bressan
- Department of Psychiatry, Universidade Federal de São Paulo, Laboratory of Integrative Neuroscience, São Paulo, Brazil
- Department of Psychiatry, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Richard A Bryant
- University of New South Wales, School of Psychology, Sydney, New South Wales, Australia
| | - Angela C Bustamante
- Department of Internal Medicine, University of Michigan Medical School, Division of Pulmonary and Critical Care Medicine, Ann Arbor, MI, USA
| | - Jonas Bybjerg-Grauholm
- Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
| | - Marie Bækvad-Hansen
- Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
| | - Anders D Børglum
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Aarhus University, Centre for Integrative Sequencing, iSEQ, Aarhus, Denmark
- Department of Biomedicine-Human Genetics, Aarhus University, Aarhus, Denmark
| | - Sigrid Børte
- Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, K. G. Jebsen Center for Genetic Epidemiology, Trondheim, Norway
- Oslo University Hospital, Department of Research, Innovation and Education, Division of Clinical Neuroscience, Oslo, Norway
| | - Leah Cahn
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Joseph R Calabrese
- Case Western Reserve University, School of Medicine, Cleveland, OH, USA
- Department of Psychiatry, University Hospitals, Cleveland, OH, USA
| | | | - Chris Chatzinakos
- Broad Institute of MIT and Harvard, Stanley Center for Psychiatric Research, Cambridge, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- McLean Hospital, Division of Depression and Anxiety Disorders, Belmont, MA, USA
| | - Sheraz Cheema
- University of Toronto, CanPath National Coordinating Center, Toronto, Ontario, Canada
| | - Sean A P Clouston
- Stony Brook University, Family, Population, and Preventive Medicine, Stony Brook, NY, USA
- Stony Brook University, Public Health, Stony Brook, NY, USA
| | - Lucía Colodro-Conde
- QIMR Berghofer Medical Research Institute, Mental Health & Neuroscience Program, Brisbane, Queensland, Australia
| | - Brandon J Coombes
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Carlos S Cruz-Fuentes
- Department of Genetics, Instituto Nacional de Psiquiatraía Ramón de la Fuente Muñiz, Mexico City, Mexico
| | - Anders M Dale
- Department of Radiology, Department of Neurosciences, University of California San Diego, La Jolla, CA, USA
| | - Shareefa Dalvie
- Department of Pathology, University of Cape Town, Division of Human Genetics, Cape Town, South Africa
| | - Lea K Davis
- Vanderbilt University Medical Center, Vanderbilt Genetics Institute, Nashville, TN, USA
| | - Jürgen Deckert
- University Hospital of Würzburg, Center of Mental Health, Psychiatry, Psychosomatics and Psychotherapy, Würzburg, Denmark
| | | | - Michelle F Dennis
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
- Research, Durham VA Health Care System, Durham, NC, USA
- VA Mid-Atlantic Mental Illness Research, Education, and Clinical Center (MIRECC), Genetics Research Laboratory, Durham, NC, USA
| | - Frank Desarnaud
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Christopher P DiPietro
- Broad Institute of MIT and Harvard, Stanley Center for Psychiatric Research, Cambridge, MA, USA
- McLean Hospital, Division of Depression and Anxiety Disorders, Belmont, MA, USA
| | - Seth G Disner
- Minneapolis VA Health Care System, Research Service Line, Minneapolis, MN, USA
- Department of Psychiatry & Behavioral Sciences, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Anna R Docherty
- Huntsman Mental Health Institute, Salt Lake City, UT, USA
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Katharina Domschke
- University of Freiburg, Faculty of Medicine, Centre for Basics in Neuromodulation, Freiburg, Denmark
- Department of Psychiatry and Psychotherapy, University of Freiburg, Faculty of Medicine, Freiburg, Denmark
| | - Grete Dyb
- University of Oslo, Institute of Clinical Medicine, Oslo, Norway
- Norwegian Centre for Violence and Traumatic Stress Studies, Oslo, Norway
| | - Alma Džubur Kulenović
- Department of Psychiatry, University Clinical Center of Sarajevo, Sarajevo, Bosnia and Herzegovina
| | - Howard J Edenberg
- Indiana University School of Medicine, Biochemistry and Molecular Biology, Indianapolis, IN, USA
- Indiana University School of Medicine, Medical and Molecular Genetics, Indianapolis, IN, USA
| | - Alexandra Evans
- Cardiff University, National Centre for Mental Health, MRC Centre for Psychiatric Genetics and Genomics, Cardiff, UK
| | - Chiara Fabbri
- King's College London, Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, London, UK
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Negar Fani
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA
| | - Lindsay A Farrer
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Ophthalmology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Adriana Feder
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Norah C Feeny
- Department of Psychological Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Janine D Flory
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - David Forbes
- Department of Psychiatry, University of Melbourne, Melbourne, Victoria, Australia
| | - Carol E Franz
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Sandro Galea
- Boston University School of Public Health, Boston, MA, USA
| | - Melanie E Garrett
- Duke University, Duke Molecular Physiology Institute, Durham, NC, USA
| | - Bizu Gelaye
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Joel Gelernter
- VA Connecticut Healthcare Center, Psychiatry Service, West Haven, CT, USA
- Department of Genetics and Neuroscience, Yale University School of Medicine, New Haven, CT, USA
| | - Elbert Geuze
- Netherlands Ministry of Defence, Brain Research and Innovation Centre, Utrecht, The Netherlands
- Department of Psychiatry, UMC Utrecht Brain Center Rudolf Magnus, Utrecht, The Netherlands
| | - Charles F Gillespie
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA
| | - Slavina B Goleva
- Vanderbilt University Medical Center, Vanderbilt Genetics Institute, Nashville, TN, USA
- National Institutes of Health, National Human Genome Research Institute, Bethesda, MD, USA
| | - Scott D Gordon
- QIMR Berghofer Medical Research Institute, Mental Health & Neuroscience Program, Brisbane, Queensland, Australia
| | - Aferdita Goçi
- Department of Psychiatry, University Clinical Centre of Kosovo, Prishtina, Kosovo
| | - Lana Ruvolo Grasser
- Wayne State University School of Medicine, Psychiatry and Behavioral Neurosciencess, Detroit, MI, USA
| | - Camila Guindalini
- Gallipoli Medical Research Foundation, Greenslopes Private Hospital, Greenslopes, Queensland, Australia
| | - Magali Haas
- Cohen Veterans Bioscience, New York City, NY, USA
| | - Saskia Hagenaars
- King's College London, National Institute for Health and Care Research Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK
- King's College London, Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - Michael A Hauser
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Andrew C Heath
- Department of Genetics, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Sian M J Hemmings
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
- SAMRC Genomics of Brain Disorders Research Unit, Stellenbosch University, Cape Town, South Africa
| | - Victor Hesselbrock
- University of Connecticut School of Medicine, Psychiatry, Farmington, CT, USA
| | - Ian B Hickie
- University of Sydney, Brain and Mind Centre, Sydney, New South Wales, Australia
| | - Kelleigh Hogan
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Veterans Affairs San Diego Healthcare System, Center of Excellence for Stress and Mental Health, San Diego, CA, USA
- Veterans Affairs San Diego Healthcare System, Research Service, San Diego, CA, USA
| | - David Michael Hougaard
- Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
| | - Hailiang Huang
- Broad Institute of MIT and Harvard, Stanley Center for Psychiatric Research, Cambridge, MA, USA
- Department of Medicine, Massachusetts General Hospital, Analytic and Translational Genetics Unit, Boston, MA, USA
| | - Laura M Huckins
- Department of Psychiatry, Yale University, New Haven, CT, USA
| | - Kristian Hveem
- Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, K. G. Jebsen Center for Genetic Epidemiology, Trondheim, Norway
| | - Miro Jakovljević
- Department of Psychiatry, University Hospital Center of Zagreb, Zagreb, Croatia
| | - Arash Javanbakht
- Wayne State University School of Medicine, Psychiatry and Behavioral Neurosciencess, Detroit, MI, USA
| | - Gregory D Jenkins
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Jessica Johnson
- Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Ian Jones
- Cardiff University, National Centre for Mental Health, Cardiff University Centre for Psychiatric Genetics and Genomics, Cardiff, UK
| | - Tanja Jovanovic
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA
| | - Karen-Inge Karstoft
- The Danish Veteran Centre, Research and Knowledge Centre, Ringsted, Denmark
- Department of Psychology, University of Copenhagen, Copenhagen, Denmark
| | - Milissa L Kaufman
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- McLean Hospital, Belmont, MA, USA
| | - James L Kennedy
- Centre for Addiction and Mental Health, Neurogenetics Section, Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Toronto, Ontario, Canada
- Centre for Addiction and Mental Health, Tanenbaum Centre for Pharmacogenetics, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- Institute of Medical Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Ronald C Kessler
- Department of Health Care Policy, Harvard Medical School, Boston, MA, USA
| | - Alaptagin Khan
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- McLean Hospital, Belmont, MA, USA
| | - Nathan A Kimbrel
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
- VA Mid-Atlantic Mental Illness Research, Education, and Clinical Center (MIRECC), Genetics Research Laboratory, Durham, NC, USA
- Durham VA Health Care System, Mental Health Service Line, Durham, NC, USA
| | - Anthony P King
- The Ohio State University, College of Medicine, Institute for Behavioral Medicine Research, Columbus, OH, USA
| | - Nastassja Koen
- University of Cape Town, Department of Psychiatry & Neuroscience Institute, SA MRC Unit on Risk & Resilience in Mental Disorders, Cape Town, South Africa
| | - Roman Kotov
- Department of Psychiatry, Stony Brook University, Stony Brook, NY, USA
| | - Henry R Kranzler
- Mental Illness Research, Education and Clinical Center, Crescenz VAMC, Philadelphia, PA, USA
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Kristi Krebs
- University of Tartu, Institute of Genomics, Estonian Genome Center, Tartu, Estonia
| | - William S Kremen
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Pei-Fen Kuan
- Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, USA
| | - Bruce R Lawford
- Queensland University of Technology, School of Biomedical Sciences, Kelvin Grove, Queensland, Australia
| | - Lauren A M Lebois
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- McLean Hospital, Center of Excellence in Depression and Anxiety Disorders, Belmont, MA, USA
| | - Kelli Lehto
- University of Tartu, Institute of Genomics, Estonian Genome Center, Tartu, Estonia
| | - Daniel F Levey
- VA Connecticut Healthcare Center, West Haven, CT, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Catrin Lewis
- Cardiff University, National Centre for Mental Health, MRC Centre for Psychiatric Genetics and Genomics, Cardiff, UK
| | - Israel Liberzon
- Department of Psychiatry and Behavioral Sciences, Texas A&M University College of Medicine, Bryan, TX, USA
| | - Sarah D Linnstaedt
- Department of Anesthesiology, UNC Institute for Trauma Recovery, Chapel Hill, NC, USA
| | - Mark W Logue
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Boston University School of Medicine, Psychiatry, Biomedical Genetics, Boston, MA, USA
- VA Boston Healthcare System, National Center for PTSD, Boston, MA, USA
| | - Adriana Lori
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA
| | - Yi Lu
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Benjamin J Luft
- Department of Medicine, Stony Brook University, Stony Brook, NY, USA
| | - Michelle K Lupton
- QIMR Berghofer Medical Research Institute, Mental Health & Neuroscience Program, Brisbane, Queensland, Australia
| | - Jurjen J Luykx
- Department of Psychiatry, UMC Utrecht Brain Center Rudolf Magnus, Utrecht, The Netherlands
- Department of Translational Neuroscience, UMC Utrecht Brain Center Rudolf Magnus, Utrecht, The Netherlands
| | - Iouri Makotkine
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | | | - Shelby Marchese
- Department of Genetic and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Charles Marmar
- New York University, Grossman School of Medicine, New York City, NY, USA
| | - Nicholas G Martin
- QIMR Berghofer Medical Research Institute, Genetics, Brisbane, Queensland, Australia
| | - Gabriela A Martínez-Levy
- Department of Genetics, Instituto Nacional de Psiquiatraía Ramón de la Fuente Muñiz, Mexico City, Mexico
| | - Kerrie McAloney
- QIMR Berghofer Medical Research Institute, Mental Health & Neuroscience Program, Brisbane, Queensland, Australia
| | - Alexander McFarlane
- University of Adelaide, Discipline of Psychiatry, Adelaide, South Australia, Australia
| | | | - Samuel A McLean
- Department of Anesthesiology, UNC Institute for Trauma Recovery, Chapel Hill, NC, USA
- Department of Emergency Medicine, UNC Institute for Trauma Recovery, Chapel Hill, NC, USA
| | - Sarah E Medland
- QIMR Berghofer Medical Research Institute, Mental Health & Neuroscience Program, Brisbane, Queensland, Australia
| | - Divya Mehta
- Queensland University of Technology, School of Biomedical Sciences, Kelvin Grove, Queensland, Australia
- Queensland University of Technology, Centre for Genomics and Personalised Health, Kelvin Grove, Queensland, Australia
| | - Jacquelyn Meyers
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Vasiliki Michopoulos
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA
| | - Elizabeth A Mikita
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Veterans Affairs San Diego Healthcare System, Center of Excellence for Stress and Mental Health, San Diego, CA, USA
- Veterans Affairs San Diego Healthcare System, Research Service, San Diego, CA, USA
| | - Lili Milani
- University of Tartu, Institute of Genomics, Estonian Genome Center, Tartu, Estonia
| | | | - Mark W Miller
- Boston University School of Medicine, Psychiatry, Biomedical Genetics, Boston, MA, USA
- VA Boston Healthcare System, National Center for PTSD, Boston, MA, USA
| | - Rajendra A Morey
- Duke University School of Medicine, Duke Brain Imaging and Analysis Center, Durham, NC, USA
| | - Charles Phillip Morris
- Queensland University of Technology, School of Biomedical Sciences, Kelvin Grove, Queensland, Australia
| | - Ole Mors
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Aarhus University Hospital-Psychiatry, Psychosis Research Unit, Aarhus, Denmark
| | - Preben Bo Mortensen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Aarhus University, Centre for Integrative Sequencing, iSEQ, Aarhus, Denmark
- Aarhus University, Centre for Integrated Register-Based Research, Aarhus, Denmark
- Aarhus University, National Centre for Register-Based Research, Aarhus, Denmark
| | - Mary S Mufford
- Department of Pathology, University of Cape Town, Division of Human Genetics, Cape Town, South Africa
| | - Elliot C Nelson
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Merete Nordentoft
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- University of Copenhagen, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark
| | - Sonya B Norman
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Veterans Affairs San Diego Healthcare System, Center of Excellence for Stress and Mental Health, San Diego, CA, USA
- National Center for Post Traumatic Stress Disorder, Executive Division, White River Junction, VT, USA
| | - Nicole R Nugent
- Department of Emergency Medicine, Alpert Brown Medical School, Providence, RI, USA
- Department of Pediatrics, Alpert Brown Medical School, Providence, RI, USA
- Department of Psychiatry and Human Behavior, Alpert Brown Medical School, Providence, RI, USA
| | - Meaghan O'Donnell
- Department of Psychiatry, University of Melbourne, Phoenix Australia, Melbourne, Victoria, Australia
| | - Holly K Orcutt
- Department of Psychology, Northern Illinois University, DeKalb, IL, USA
| | - Pedro M Pan
- Universidade Federal de São Paulo, Psychiatry, São Paulo, Brazil
| | - Matthew S Panizzon
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Gita A Pathak
- VA Connecticut Healthcare Center, West Haven, CT, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Edward S Peters
- University of Nebraska Medical Center, College of Public Health, Omaha, NE, USA
| | - Alan L Peterson
- South Texas Veterans Health Care System, Research and Development Service, San Antonio, TX, USA
- Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Matthew Peverill
- Department of Psychology, University of Washington, Seattle, WA, USA
| | - Robert H Pietrzak
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- U.S. Department of Veterans Affairs National Center for Posttraumatic Stress Disorder, West Haven, CT, USA
| | - Melissa A Polusny
- Minneapolis VA Health Care System, Mental Health Service Line, Minneapolis, MN, USA
- Department of Psychiatry & Behavioral Sciences, University of Minnesota Medical School, Minneapolis, MN, USA
- Center for Care Delivery and Outcomes Research (CCDOR), Minneapolis, MN, USA
| | - Bernice Porjesz
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Abigail Powers
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA
| | - Xue-Jun Qin
- Duke University, Duke Molecular Physiology Institute, Durham, NC, USA
| | - Andrew Ratanatharathorn
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Columbia University Mailmain School of Public Health, New York City, NY, USA
| | - Victoria B Risbrough
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Veterans Affairs San Diego Healthcare System, Center of Excellence for Stress and Mental Health, San Diego, CA, USA
- Veterans Affairs San Diego Healthcare System, Research Service, San Diego, CA, USA
| | - Andrea L Roberts
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Alex O Rothbaum
- Department of Psychological Sciences, Emory University, Atlanta, GA, USA
- Department of Research and Outcomes, Skyland Trail, Atlanta, GA, USA
| | - Barbara O Rothbaum
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA
| | - Peter Roy-Byrne
- Department of Psychiatry, University of Washington, Seattle, WA, USA
| | - Kenneth J Ruggiero
- Department of Nursing, Department of Psychiatry, Medical University of South Carolina, Charleston, SC, USA
| | - Ariane Rung
- Department of Epidemiology, Louisiana State University Health Sciences Center, School of Public Health, New Orleans, LA, USA
| | - Heiko Runz
- Biogen Inc., Research & Development, Cambridge, MA, USA
| | - Bart P F Rutten
- Department of Psychiatry and Neuropsychology, Maastricht Universitair Medisch Centrum, School for Mental Health and Neuroscience, Maastricht, The Netherlands
| | | | - Giovanni Abrahão Salum
- Child Mind Institute, New York City, NY, USA
- Instituto Nacional de Psiquiatria de Desenvolvimento, São Paulo, Brazil
| | - Laura Sampson
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Sixto E Sanchez
- Department of Medicine, Universidad Peruana de Ciencias Aplicadas, Lima, Peru
| | - Marcos Santoro
- Universidade Federal de São Paulo, Departamento de Bioquímica-Disciplina de Biologia Molecular, São Paulo, Brazil
| | - Carina Seah
- Department of Genetic and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Soraya Seedat
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
- Stellenbosch University, SAMRC Extramural Genomics of Brain Disorders Research Unit, Cape Town, South Africa
| | - Julia S Seng
- Department of Obstetrics and Gynecology, University of Michigan, Ann Arbor, MI, USA
- Department of Women's and Gender Studies, University of Michigan, Ann Arbor, MI, USA
- University of Michigan, Institute for Research on Women and Gender, Ann Arbor, MI, USA
- University of Michigan, School of Nursing, Ann Arbor, MI, USA
| | - Andrey Shabalin
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Christina M Sheerin
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Richmond, VA, USA
| | - Derrick Silove
- Department of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
| | - Alicia K Smith
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA
- Department of Gynecology and Obstetrics, Department of Psychiatry and Behavioral Sciences, Department of Human Genetics, Emory University, Atlanta, GA, USA
| | - Jordan W Smoller
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Stanley Center for Psychiatric Research, Cambridge, MA, USA
- Massachusetts General Hospital, Psychiatric and Neurodevelopmental Genetics Unit (PNGU), Boston, MA, USA
| | - Scott R Sponheim
- Minneapolis VA Health Care System, Mental Health Service Line, Minneapolis, MN, USA
- Department of Psychiatry and Behavioral Sciences, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Dan J Stein
- University of Cape Town, Department of Psychiatry & Neuroscience Institute, SA MRC Unit on Risk & Resilience in Mental Disorders, Cape Town, South Africa
| | - Synne Stensland
- Oslo University Hospital, Department of Research, Innovation and Education, Division of Clinical Neuroscience, Oslo, Norway
- Norwegian Centre for Violence and Traumatic Stress Studies, Oslo, Norway
| | - Jennifer S Stevens
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA
| | - Jennifer A Sumner
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Martin H Teicher
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- McLean Hospital, Developmental Biopsychiatry Research Program, Belmont, MA, USA
| | - Wesley K Thompson
- Mental Health Centre Sct. Hans, Institute of Biological Psychiatry, Roskilde, Denmark
- University of California San Diego, Herbert Wertheim School of Public Health and Human Longevity Science, La Jolla, CA, USA
| | - Arun K Tiwari
- Centre for Addiction and Mental Health, Neurogenetics Section, Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Toronto, Ontario, Canada
- Centre for Addiction and Mental Health, Tanenbaum Centre for Pharmacogenetics, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Edward Trapido
- Department of Epidemiology, Louisiana State University Health Sciences Center, School of Public Health, New Orleans, LA, USA
| | - Monica Uddin
- University of South Florida College of Public Health, Genomics Program, Tampa, FL, USA
| | - Robert J Ursano
- Department of Psychiatry, Uniformed Services University, Bethesda, MD, USA
| | - Unnur Valdimarsdóttir
- Karolinska Institutet, Unit of Integrative Epidemiology, Institute of Environmental Medicine, Stockholm, Sweden
- University of Iceland, Faculty of Medicine, Center of Public Health Sciences, School of Health Sciences, Reykjavik, Iceland
| | - Miranda Van Hooff
- University of Adelaide, Adelaide Medical School, Adelaide, South Australia, Australia
| | - Eric Vermetten
- ARQ Nationaal Psychotrauma Centrum, Psychotrauma Research Expert Group, Diemen, The Netherlands
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands
- Department of Psychiatry, New York University School of Medicine, New York City, NY, USA
| | - Christiaan H Vinkers
- Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress Program, Amsterdam, The Netherlands
- Department of Anatomy and Neurosciences, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Department of Psychiatry, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Joanne Voisey
- Queensland University of Technology, School of Biomedical Sciences, Kelvin Grove, Queensland, Australia
- Queensland University of Technology, Centre for Genomics and Personalised Health, Kelvin Grove, Queensland, Australia
| | - Yunpeng Wang
- Department of Psychology, University of Oslo, Lifespan Changes in Brain and Cognition (LCBC), Oslo, Norway
| | - Zhewu Wang
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, USA
- Department of Mental Health, Ralph H Johnson VA Medical Center, Charleston, SC, USA
| | - Monika Waszczuk
- Department of Psychology, Rosalind Franklin University of Medicine and Science, North Chicago, IL, USA
| | - Heike Weber
- University Hospital of Würzburg, Center of Mental Health, Psychiatry, Psychosomatics and Psychotherapy, Würzburg, Denmark
| | - Frank R Wendt
- Department of Anthropology, University of Toronto, Dalla Lana School of Public Health, Toronto, Ontario, Canada
| | - Thomas Werge
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Copenhagen University Hospital, Institute of Biological Psychiatry, Mental Health Services, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- University of Copenhagen, The Globe Institute, Lundbeck Foundation Center for Geogenetics, Copenhagen, Denmark
| | - Michelle A Williams
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Douglas E Williamson
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
- Research, Durham VA Health Care System, Durham, NC, USA
| | - Bendik S Winsvold
- Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, K. G. Jebsen Center for Genetic Epidemiology, Trondheim, Norway
- Oslo University Hospital, Department of Research, Innovation and Education, Division of Clinical Neuroscience, Oslo, Norway
- Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Sherry Winternitz
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- McLean Hospital, Belmont, MA, USA
| | - Christiane Wolf
- University Hospital of Würzburg, Center of Mental Health, Psychiatry, Psychosomatics and Psychotherapy, Würzburg, Denmark
| | - Erika J Wolf
- VA Boston Healthcare System, National Center for PTSD, Boston, MA, USA
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Yan Xia
- Broad Institute of MIT and Harvard, Stanley Center for Psychiatric Research, Cambridge, MA, USA
- Department of Medicine, Massachusetts General Hospital, Analytic and Translational Genetics Unit, Boston, MA, USA
| | - Ying Xiong
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Rachel Yehuda
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
- Department of Mental Health, James J. Peters VA Medical Center, Bronx, NY, USA
| | - Keith A Young
- Central Texas Veterans Health Care System, Research Service, Temple, TX, USA
- Department of Psychiatry and Behavioral Sciences, Texas A&M University School of Medicine, Bryan, TX, USA
| | - Ross McD Young
- Queensland University of Technology, School of Clinical Sciences, Kelvin Grove, Queensland, Australia
- University of the Sunshine Coast, The Chancellory, Sippy Downs, Queensland, Australia
| | - Clement C Zai
- Broad Institute of MIT and Harvard, Stanley Center for Psychiatric Research, Cambridge, MA, USA
- Centre for Addiction and Mental Health, Neurogenetics Section, Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Toronto, Ontario, Canada
- Centre for Addiction and Mental Health, Tanenbaum Centre for Pharmacogenetics, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- Institute of Medical Sciences, University of Toronto, Toronto, Ontario, Canada
- Department of Laboratory Medicine and Pathology, University of Toronto, Toronto, Ontario, Canada
| | - Gwyneth C Zai
- Centre for Addiction and Mental Health, Neurogenetics Section, Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Toronto, Ontario, Canada
- Centre for Addiction and Mental Health, Tanenbaum Centre for Pharmacogenetics, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- Institute of Medical Sciences, University of Toronto, Toronto, Ontario, Canada
- Centre for Addiction and Mental Health, General Adult Psychiatry and Health Systems Division, Toronto, Ontario, Canada
| | - Mark Zervas
- Cohen Veterans Bioscience, New York City, NY, USA
| | - Hongyu Zhao
- Department of Biostatistics, Yale University, New Haven, CT, USA
| | - Lori A Zoellner
- Department of Psychology, University of Washington, Seattle, WA, USA
| | - John-Anker Zwart
- University of Oslo, Institute of Clinical Medicine, Oslo, Norway
- Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, K. G. Jebsen Center for Genetic Epidemiology, Trondheim, Norway
- Oslo University Hospital, Department of Research, Innovation and Education, Division of Clinical Neuroscience, Oslo, Norway
| | - Terri deRoon-Cassini
- Department of Surgery, Division of Trauma & Acute Care Surgery, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Sanne J H van Rooij
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA
| | - Leigh L van den Heuvel
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
- SAMRC Genomics of Brain Disorders Research Unit, Stellenbosch University, Cape Town, South Africa
| | - Murray B Stein
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Veterans Affairs San Diego Healthcare System, Psychiatry Service, San Diego, CA, USA
- University of California San Diego, School of Public Health, La Jolla, CA, USA
| | - Kerry J Ressler
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- McLean Hospital, Belmont, MA, USA
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA
| | - Karestan C Koenen
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Broad Institute of MIT and Harvard, Stanley Center for Psychiatric Research, Cambridge, MA, USA
- Massachusetts General Hospital, Psychiatric and Neurodevelopmental Genetics Unit (PNGU), Boston, MA, USA
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3
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Thompson AD, Petry SE, Hauser ER, Boyle SH, Pathak GA, Upchurch J, Press A, Johnson MG, Sims KJ, Williams CD, Gifford EJ. Longitudinal Patterns of Multimorbidity in Gulf War Era Veterans With and Without Gulf War Illness. J Aging Health 2024:8982643241245163. [PMID: 38591766 DOI: 10.1177/08982643241245163] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/10/2024]
Abstract
Objectives: To examine whether severe Gulf War illness (SGWI) case status was associated with longitudinal multimorbidity patterns. Methods: Participants were users of the Veteran Health Administration Health Care System drawn from the Gulf War Era Cohort and Biorepository (n = 840). Longitudinal measures of multimorbidity were constructed using (1) electronic health records (Charlson Comorbidity Index; Elixhauser; and Veterans Affairs Frailty Index) from 10/1/1999 to 6/30/2023 and (2) self-reported medical conditions (Deficit Accumulation Index) since the war until the survey date. Accelerated failure time models examined SGWI case status as a predictor of time until threshold level of multimorbidity was reached, adjusted for age and sociodemographic and military characteristics. Results: Models, adjusted for covariates, revealed that (1) relative to the SWGI- group, the SGWI+ group was associated with an accelerated time for reaching each threshold and (2) the relationship between SGWI and each threshold was not moderated by age. Discussion: Findings suggest that veterans with SGWI experienced accelerated aging.
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Affiliation(s)
- Andrew D Thompson
- Cooperative Studies Program Epidemiology Center, Durham VA Medical Center, Durham, NC, USA
| | - Sarah E Petry
- Cooperative Studies Program Epidemiology Center, Durham VA Medical Center, Durham, NC, USA
- Sanford School of Public Policy, Duke University, Durham, NC, USA
- Carolina Population Center, University of North Carolina, Chapel Hill, NC, USA
| | - Elizabeth R Hauser
- Cooperative Studies Program Epidemiology Center, Durham VA Medical Center, Durham, NC, USA
- Duke Molecular Physiology Institute and Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA
| | - Stephen H Boyle
- Cooperative Studies Program Epidemiology Center, Durham VA Medical Center, Durham, NC, USA
| | - Gita A Pathak
- Division of Human Genetics, Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Veteran Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Julie Upchurch
- Cooperative Studies Program Epidemiology Center, Durham VA Medical Center, Durham, NC, USA
| | - Ashlyn Press
- Cooperative Studies Program Epidemiology Center, Durham VA Medical Center, Durham, NC, USA
| | - Melissa G Johnson
- Cooperative Studies Program Epidemiology Center, Durham VA Medical Center, Durham, NC, USA
| | - Kellie J Sims
- Cooperative Studies Program Epidemiology Center, Durham VA Medical Center, Durham, NC, USA
| | - Christina D Williams
- Cooperative Studies Program Epidemiology Center, Durham VA Medical Center, Durham, NC, USA
| | - Elizabeth J Gifford
- Cooperative Studies Program Epidemiology Center, Durham VA Medical Center, Durham, NC, USA
- Sanford School of Public Policy, Duke University, Durham, NC, USA
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4
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De Lillo A, Pathak GA, Low A, De Angelis F, Abou Alaiwi S, Miller EJ, Fuciarelli M, Polimanti R. Clinical spectrum of Transthyretin amyloidogenic mutations among diverse population origins. Hum Genomics 2024; 18:31. [PMID: 38523305 PMCID: PMC10962184 DOI: 10.1186/s40246-024-00596-7] [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: 12/06/2023] [Accepted: 03/08/2024] [Indexed: 03/26/2024] Open
Abstract
PURPOSE Coding mutations in the Transthyretin (TTR) gene cause a hereditary form of amyloidosis characterized by a complex genotype-phenotype correlation with limited information regarding differences among worldwide populations. METHODS We compared 676 diverse individuals carrying TTR amyloidogenic mutations (rs138065384, Phe44Leu; rs730881165, Ala81Thr; rs121918074, His90Asn; rs76992529, Val122Ile) to 12,430 non-carriers matched by age, sex, and genetically-inferred ancestry to assess their clinical presentations across 1,693 outcomes derived from electronic health records in UK biobank. RESULTS In individuals of African descent (AFR), Val122Ile mutation was linked to multiple outcomes related to the circulatory system (fold-enrichment = 2.96, p = 0.002) with the strongest associations being cardiac congenital anomalies (phecode 747.1, p = 0.003), endocarditis (phecode 420.3, p = 0.006), and cardiomyopathy (phecode 425, p = 0.007). In individuals of Central-South Asian descent (CSA), His90Asn mutation was associated with dermatologic outcomes (fold-enrichment = 28, p = 0.001). The same TTR mutation was linked to neoplasms in European-descent individuals (EUR, fold-enrichment = 3.09, p = 0.003). In EUR, Ala81Thr showed multiple associations with respiratory outcomes related (fold-enrichment = 3.61, p = 0.002), but the strongest association was with atrioventricular block (phecode 426.2, p = 2.81 × 10- 4). Additionally, the same mutation in East Asians (EAS) showed associations with endocrine-metabolic traits (fold-enrichment = 4.47, p = 0.003). In the cross-ancestry meta-analysis, Val122Ile mutation was associated with peripheral nerve disorders (phecode 351, p = 0.004) in addition to cardiac congenital anomalies (fold-enrichment = 6.94, p = 0.003). CONCLUSIONS Overall, these findings highlight that TTR amyloidogenic mutations present ancestry-specific and ancestry-convergent associations related to a range of health domains. This supports the need to increase awareness regarding the range of outcomes associated with TTR mutations across worldwide populations to reduce misdiagnosis and delayed diagnosis of TTR-related amyloidosis.
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Affiliation(s)
- Antonella De Lillo
- Department of Psychiatry, Yale University School of Medicine, 60 Temple, Suite 7A, New Haven, CT, 06510, USA
- Department of Biology, University of Rome "Tor Vergata", Rome, Italy
| | - Gita A Pathak
- Department of Psychiatry, Yale University School of Medicine, 60 Temple, Suite 7A, New Haven, CT, 06510, USA
- VA CT Healthcare Center, West Haven, CT, USA
| | - Aislinn Low
- Department of Psychiatry, Yale University School of Medicine, 60 Temple, Suite 7A, New Haven, CT, 06510, USA
- VA CT Healthcare Center, West Haven, CT, USA
| | - Flavio De Angelis
- Department of Psychiatry, Yale University School of Medicine, 60 Temple, Suite 7A, New Haven, CT, 06510, USA
- Department of Physical and Mental Health, and Preventive Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Sarah Abou Alaiwi
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA
| | - Edward J Miller
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA
| | - Maria Fuciarelli
- Department of Biology, University of Rome "Tor Vergata", Rome, Italy
| | - Renato Polimanti
- Department of Psychiatry, Yale University School of Medicine, 60 Temple, Suite 7A, New Haven, CT, 06510, USA.
- VA CT Healthcare Center, West Haven, CT, USA.
- Wu Tsai Institute, Yale University, New Haven, CT, USA.
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5
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Lukas E, Veeneman RR, Smit DJA, Vermeulen JM, Pathak GA, Polimanti R, Verweij KJH, Treur JL. A genetic exploration of the relationship between Posttraumatic Stress Disorder and cardiovascular diseases. medRxiv 2024:2024.03.20.24304533. [PMID: 38562880 PMCID: PMC10984043 DOI: 10.1101/2024.03.20.24304533] [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] [Indexed: 04/04/2024]
Abstract
Background and Aims Experiencing a traumatic event may lead to Posttraumatic Stress Disorder (PTSD), including symptoms such as flashbacks and hyperarousal. Individuals suffering from PTSD are at increased risk of cardiovascular disease (CVD), but it is unclear why. This study assesses shared genetic liability and potential causal pathways between PTSD and CVD. Methods We leveraged summary-level data of genome-wide association studies (PTSD: N= 1,222,882; atrial fibrillation (AF): N=482,409; coronary artery disease (CAD): N=1,165,690; hypertension: N=458,554; heart failure (HF): N=977,323). First, we estimated genetic correlations and utilized genomic structural equation modeling to identify a common genetic factor for PTSD and CVD. Next, we assessed biological, behavioural, and psychosocial factors as potential mediators. Finally, we employed multivariable Mendelian randomization to examine causal pathways between PTSD and CVD, incorporating the same potential mediators. Results Significant genetic correlations were found between PTSD and CAD, HT, and HF (rg =0.21-0.32, p≤ 3.08 · 10-16), but not between PTSD and AF. Insomnia, smoking, alcohol dependence, waist-to-hip ratio, and inflammation (IL6, C-reactive protein) partly mediated these associations. Mendelian randomization indicated that PTSD causally increases CAD (IVW OR=1.53, 95% CIs=1.19-1.96, p=0.001), HF (OR=1.44, CIs=1.08-1.92, p=0.012), and to a lesser degree hypertension (OR=1.25, CIs=1.05-1.49, p=0.012). While insomnia, smoking, alcohol, and inflammation were important mediators, independent causal effects also remained. Conclusions In addition to shared genetic liability between PTSD and CVD, we present strong evidence for causal effects of PTSD on CVD. Crucially, we implicate specific lifestyle and biological mediators (insomnia, substance use, inflammation) which has important implications for interventions to prevent CVD in PTSD patients.
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Affiliation(s)
- Eva Lukas
- Genetic Epidemiology Group, Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Rada R Veeneman
- Genetic Epidemiology Group, Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Dirk JA Smit
- Genetic Epidemiology Group, Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | | | - Jentien M Vermeulen
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Gita A Pathak
- Department of Psychiatry, Yale University School of Medicine, 60 Temple, Suite 7A, New Haven, CT, USA
- Veteran Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Renato Polimanti
- Department of Psychiatry, Yale University School of Medicine, 60 Temple, Suite 7A, New Haven, CT, USA
- Veteran Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Karin JH Verweij
- Genetic Epidemiology Group, Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Jorien L Treur
- Genetic Epidemiology Group, Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
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He J, Cabrera-Mendoza B, De Angelis F, Pathak GA, Koller D, Curhan SG, Curhan GC, Mecca AP, van Dyck CH, Polimanti R. Sex differences in the pleiotropy of hearing difficulty with imaging-derived phenotypes: a brain-wide investigation. Brain 2024:awae077. [PMID: 38454550 DOI: 10.1093/brain/awae077] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 01/22/2024] [Accepted: 02/25/2024] [Indexed: 03/09/2024] Open
Abstract
Hearing difficulty (HD) is one of the major health burdens in older adults. While aging-related changes in the peripheral auditory system play an important role, genetic variation associated with brain structure and function could also be involved in HD predisposition. We analyzed a large-scale HD genome-wide association study (GWAS; Ntotal = 501,825, 56% females) and GWAS data related to 3,935 brain imaging-derived phenotypes (IDPs) assessed in up to 33,224 individuals (52% females) using multiple magnetic resonance imaging modalities. To investigate HD pleiotropy with brain structure and function, we conducted genetic correlation, latent causal variable, Mendelian randomization, and multivariable generalized linear regression analyses. Additionally, we performed local genetic correlation and multi-trait colocalization analyses to identify genomic regions and loci implicated in the pleiotropic mechanisms shared between HD and brain IDPs. We observed a widespread genetic correlation of HD with 120 IDPs in females, 89 IDPs in males, and 171 IDPs in the sex-combined analysis. The latent causal variable analysis showed that some of these genetic correlations could be due to cause-effect relationships. For seven correlations, the causal effects were also confirmed by the Mendelian randomization approach: vessel volume→HD in the sex-combined analysis; hippocampus volume→HD, cerebellum grey matter volume→HD, primary visual cortex volume→HD, and HD→fluctuation amplitudes of node 46 in resting-state functional MRI dimensionality 100 in females; global mean thickness→HD and HD→mean orientation dispersion index in superior corona radiata in males. The local genetic correlation analysis identified 13 pleiotropic regions between HD and these seven IDPs. We also observed a colocalization signal for the rs13026575 variant between HD, primary visual cortex volume, and SPTBN1 transcriptomic regulation in females. Brain structure and function may have a role in the sex differences in HD predisposition via possible cause-effect relationships and shared regulatory mechanisms.
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Affiliation(s)
- Jun He
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Brenda Cabrera-Mendoza
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06510, USA
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), Veteran Affairs Connecticut Healthcare System, West Haven, CT 06516, USA
| | - Flavio De Angelis
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Gita A Pathak
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06510, USA
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), Veteran Affairs Connecticut Healthcare System, West Haven, CT 06516, USA
| | - Dora Koller
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06510, USA
- Department of Genetics, Microbiology and Statistics, Faculty of Biology, University of Barcelona, Barcelona 08028, Spain
| | - Sharon G Curhan
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
- Harvard Medical School, Boston, MA 02115, USA
| | - Gary C Curhan
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
- Harvard Medical School, Boston, MA 02115, USA
| | - Adam P Mecca
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06510, USA
- Alzheimer's Disease Research Unit, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Christopher H van Dyck
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06510, USA
- Alzheimer's Disease Research Unit, Yale University School of Medicine, New Haven, CT 06510, USA
- Departments of Neuroscience and Neurology, Yale University School of Medicine, New Haven, CT 06511, USA
| | - Renato Polimanti
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06510, USA
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), Veteran Affairs Connecticut Healthcare System, West Haven, CT 06516, USA
- Wu Tsai Institute, Yale University, New Haven, CT 06511, USA
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7
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Koller D, Mitjans M, Kouakou M, Friligkou E, Cabrera-Mendoza B, Deak JD, Llonga N, Pathak GA, Stiltner B, Løkhammer S, Levey DF, Zhou H, Hatoum AS, Kember RL, Kranzler HR, Stein MB, Corominas R, Demontis D, Artigas MS, Ramos-Quiroga JA, Gelernter J, Ribasés M, Cormand B, Polimanti R. Genetic contribution to the comorbidity between attention-deficit/hyperactivity disorder and substance use disorders. Psychiatry Res 2024; 333:115758. [PMID: 38335780 DOI: 10.1016/j.psychres.2024.115758] [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] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 01/17/2024] [Accepted: 01/23/2024] [Indexed: 02/12/2024]
Abstract
We characterized the genetic architecture of the attention-deficit hyperactivity disorder-substance use disorder (ADHD-SUD) relationship by investigating genetic correlation, causality, pleiotropy, and common polygenic risk. Summary statistics from genome-wide association studies (GWAS) were used to investigate ADHD (Neff = 51,568), cannabis use disorder (CanUD, Neff = 161,053), opioid use disorder (OUD, Neff = 57,120), problematic alcohol use (PAU, Neff = 502,272), and problematic tobacco use (PTU, Neff = 97,836). ADHD, CanUD, and OUD GWAS meta-analyses included cohorts with case definitions based on different diagnostic criteria. PAU GWAS combined information related to alcohol use disorder, alcohol dependence, and the items related to alcohol problematic consequences assessed by the alcohol use disorders identification test. PTU GWAS was generated a multi-trait analysis including information regarding Fagerström Test for Nicotine Dependence and cigarettes per day. Linkage disequilibrium score regression analyses indicated positive genetic correlation with CanUD, OUD, PAU, and PTU. Genomic structural equation modeling showed that these genetic correlations were related to two latent factors: one including ADHD, CanUD, and PTU and the other with OUD and PAU. The evidence of a causal effect of PAU and PTU on ADHD was stronger than the reverse in the two-sample Mendelian randomization analysis. Conversely, similar strength of evidence was found between ADHD and CanUD. CADM2 rs62250713 was a pleiotropic SNP between ADHD and all SUDs. We found seven, one, and twenty-eight pleiotropic variants between ADHD and CanUD, PAU, and PTU, respectively. Finally, OUD, CanUD, and PAU PRS were associated with increased odds of ADHD. Our findings demonstrated the contribution of multiple pleiotropic mechanisms to the comorbidity between ADHD and SUDs.
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Affiliation(s)
- Dora Koller
- Department of Psychiatry, Yale School of Medicine, New Haven, CA, USA; Veterans Affairs Connecticut Healthcare Center, West Haven, CA, USA; Department of Genetics, Microbiology, and Statistics, Faculty of Biology, University of Barcelona, Catalonia, Spain.
| | - Marina Mitjans
- Department of Genetics, Microbiology, and Statistics, Faculty of Biology, University of Barcelona, Catalonia, Spain; Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Institute of Biomedicine of the University of Barcelona (IBUB), Barcelona, Catalonia Spain; Sant Joan de Déu Research Institute (IR-SJD), Esplugues de Llobregat, Catalonia, Spain
| | - Manuela Kouakou
- Department of Psychiatry, Yale School of Medicine, New Haven, CA, USA
| | - Eleni Friligkou
- Department of Psychiatry, Yale School of Medicine, New Haven, CA, USA; Veterans Affairs Connecticut Healthcare Center, West Haven, CA, USA
| | - Brenda Cabrera-Mendoza
- Department of Psychiatry, Yale School of Medicine, New Haven, CA, USA; Veterans Affairs Connecticut Healthcare Center, West Haven, CA, USA
| | - Joseph D Deak
- Department of Psychiatry, Yale School of Medicine, New Haven, CA, USA; Veterans Affairs Connecticut Healthcare Center, West Haven, CA, USA
| | - Natalia Llonga
- Psychiatric Genetics Unit, Group of Psychiatry Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Gita A Pathak
- Department of Psychiatry, Yale School of Medicine, New Haven, CA, USA; Veterans Affairs Connecticut Healthcare Center, West Haven, CA, USA
| | - Brendan Stiltner
- Department of Psychiatry, Yale School of Medicine, New Haven, CA, USA; Veterans Affairs Connecticut Healthcare Center, West Haven, CA, USA
| | - Solveig Løkhammer
- Department of Psychiatry, Yale School of Medicine, New Haven, CA, USA; NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway; Dr. Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Daniel F Levey
- Department of Psychiatry, Yale School of Medicine, New Haven, CA, USA; Veterans Affairs Connecticut Healthcare Center, West Haven, CA, USA
| | - Hang Zhou
- Department of Psychiatry, Yale School of Medicine, New Haven, CA, USA; Veterans Affairs Connecticut Healthcare Center, West Haven, CA, USA
| | - Alexander S Hatoum
- Department of Psychological and Brain Sciences, Washington University in Saint Louis, St. Louis, MO, USA
| | - Rachel L Kember
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA; Mental Illness Research, Education and Clinical Center, Veterans Integrated Service Network 4, Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania, USA
| | - Henry R Kranzler
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA; Mental Illness Research, Education and Clinical Center, Veterans Integrated Service Network 4, Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania, USA
| | - Murray B Stein
- Department of Psychiatry, University of California, San Diego, La Jolla, USA; Herbert Wertheim School of Public Health, University of California, San Diego, La Jolla, USA; VA San Diego Healthcare System, San Diego, CA, La Jolla, USA
| | - Roser Corominas
- Department of Genetics, Microbiology, and Statistics, Faculty of Biology, University of Barcelona, Catalonia, Spain; Institute of Biomedicine of the University of Barcelona (IBUB), Barcelona, Catalonia Spain; Sant Joan de Déu Research Institute (IR-SJD), Esplugues de Llobregat, Catalonia, Spain; Biomedical Network Research Centre on Rare Disorders (CIBERER), Instituto de Salud Carlos III, Madrid, Spain
| | - Ditte Demontis
- Department of Biomedicine - Human Genetics, Aarhus University, Aarhus, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark; Center for Genomics and Personalized Medicine, Aarhus, Denmark; The Novo Nordisk Foundation Center for Genomic Mechanisms of Disease, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - María Soler Artigas
- Department of Genetics, Microbiology, and Statistics, Faculty of Biology, University of Barcelona, Catalonia, Spain; Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Psychiatric Genetics Unit, Group of Psychiatry Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain; Department of Mental Health, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Josep Antoni Ramos-Quiroga
- Department of Genetics, Microbiology, and Statistics, Faculty of Biology, University of Barcelona, Catalonia, Spain; Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Psychiatric Genetics Unit, Group of Psychiatry Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain; Department of Psychiatry and Forensic Medicine, Universitat Autonoma de Barcelona, Barcelona, Spain
| | - Joel Gelernter
- Department of Psychiatry, Yale School of Medicine, New Haven, CA, USA; Veterans Affairs Connecticut Healthcare Center, West Haven, CA, USA; Department of Genetics, Yale School of Medicine, New Haven, CT, USA; Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA
| | - Marta Ribasés
- Department of Genetics, Microbiology, and Statistics, Faculty of Biology, University of Barcelona, Catalonia, Spain; Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Psychiatric Genetics Unit, Group of Psychiatry Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain; Department of Mental Health, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Bru Cormand
- Department of Genetics, Microbiology, and Statistics, Faculty of Biology, University of Barcelona, Catalonia, Spain; Institute of Biomedicine of the University of Barcelona (IBUB), Barcelona, Catalonia Spain; Sant Joan de Déu Research Institute (IR-SJD), Esplugues de Llobregat, Catalonia, Spain; Biomedical Network Research Centre on Rare Disorders (CIBERER), Instituto de Salud Carlos III, Madrid, Spain
| | - Renato Polimanti
- Department of Psychiatry, Yale School of Medicine, New Haven, CA, USA; Veterans Affairs Connecticut Healthcare Center, West Haven, CA, USA; Wu Tsai Institute, Yale University, New Haven, CT, USA
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8
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Cabrera-Mendoza B, Wendt FR, Pathak GA, Yengo L, Polimanti R. The impact of assortative mating, participation bias and socioeconomic status on the polygenic risk of behavioural and psychiatric traits. Nat Hum Behav 2024:10.1038/s41562-024-01828-5. [PMID: 38366106 DOI: 10.1038/s41562-024-01828-5] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 01/15/2024] [Indexed: 02/18/2024]
Abstract
To investigate assortative mating (AM), participation bias and socioeconomic status (SES) with respect to the genetics of behavioural and psychiatric traits, we estimated AM signatures using gametic phase disequilibrium and within-spouses and within-siblings polygenic risk score correlation analyses, also performing a SES conditional analysis. The cross-method meta-analysis identified AM genetic signatures for multiple alcohol-related phenotypes, bipolar disorder, major depressive disorder, schizophrenia and Tourette syndrome. Here, after SES conditioning, we observed changes in the AM genetic signatures for maximum habitual alcohol intake, frequency of drinking alcohol and Tourette syndrome. We also observed significant gametic phase disequilibrium differences between UK Biobank mental health questionnaire responders versus non-responders for major depressive disorder and alcohol use disorder. These results highlight the impact of AM, participation bias and SES on the polygenic risk of behavioural and psychiatric traits, particularly in alcohol-related traits.
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Affiliation(s)
- Brenda Cabrera-Mendoza
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- VA CT Healthcare System, West Haven, CT, USA
| | - Frank R Wendt
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- VA CT Healthcare System, West Haven, CT, USA
- Department of Anthropology, University of Toronto, Toronto, Ontario, Canada
- Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Gita A Pathak
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- VA CT Healthcare System, West Haven, CT, USA
| | - Loic Yengo
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia.
| | - Renato Polimanti
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
- VA CT Healthcare System, West Haven, CT, USA.
- Wu Tsai Institute, Yale University, New Haven, CT, USA.
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9
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Friligkou E, Løkhammer S, Cabrera-Mendoza B, Shen J, He J, Deiana G, Zanoaga MD, Asgel Z, Pilcher A, Di Lascio L, Makharashvili A, Koller D, Tylee DS, Pathak GA, Polimanti R. Gene Discovery and Biological Insights into Anxiety Disorders from a Multi-Ancestry Genome-wide Association Study of >1.2 Million Participants. medRxiv 2024:2024.02.14.24302836. [PMID: 38405718 PMCID: PMC10889004 DOI: 10.1101/2024.02.14.24302836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
We leveraged information from more than 1.2 million participants to investigate the genetics of anxiety disorders across five continental ancestral groups. Ancestry-specific and cross-ancestry genome-wide association studies identified 51 anxiety-associated loci, 39 of which are novel. Additionally, polygenic risk scores derived from individuals of European descent were associated with anxiety in African, Admixed-American, and East Asian groups. The heritability of anxiety was enriched for genes expressed in the limbic system, the cerebral cortex, the cerebellum, the metencephalon, the entorhinal cortex, and the brain stem. Transcriptome- and proteome-wide analyses highlighted 115 genes associated with anxiety through brain-specific and cross-tissue regulation. We also observed global and local genetic correlations with depression, schizophrenia, and bipolar disorder and putative causal relationships with several physical health conditions. Overall, this study expands the knowledge regarding the genetic risk and pathogenesis of anxiety disorders, highlighting the importance of investigating diverse populations and integrating multi-omics information.
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10
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Koller D, Friligkou E, Stiltner B, Pathak GA, Løkhammer S, Levey DF, Zhou H, Hatoum AS, Deak JD, Kember RL, Treur JL, Kranzler HR, Johnson EC, Stein MB, Gelernter J, Polimanti R. Pleiotropy and genetically inferred causality linking multisite chronic pain to substance use disorders. Mol Psychiatry 2024:10.1038/s41380-024-02446-3. [PMID: 38355787 DOI: 10.1038/s41380-024-02446-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 01/18/2024] [Accepted: 01/22/2024] [Indexed: 02/16/2024]
Abstract
Individuals suffering from chronic pain develop substance use disorders (SUDs) more often than others. Understanding the shared genetic influences underlying the comorbidity between chronic pain and SUDs will lead to a greater understanding of their biology. Genome-wide association statistics were obtained from the UK Biobank for multisite chronic pain (MCP, Neffective = 387,649) and from the Million Veteran Program and the Psychiatric Genomics Consortium meta-analyses for alcohol use disorder (AUD, Neffective = 296,974), cannabis use disorder (CanUD, Neffective = 161,053), opioid use disorder (OUD, Neffective = 57,120), and problematic tobacco use (PTU, Neffective = 270,120). SNP-based heritability was estimated for each of the traits and genetic correlation (rg) analyses were performed to assess MCP-SUD pleiotropy. Bidirectional Mendelian Randomization analyses evaluated possible causal relationships. Finally, to identify and characterize individual loci, we performed a genome-wide pleiotropy analysis and a brain-wide analysis using imaging phenotypes available from the UK Biobank. MCP was positively genetically correlated with AUD (rg = 0.26, p = 7.55 × 10-18), CanUD (rg = 0.37, p = 8.21 × 10-37), OUD (rg = 0.20, p = 1.50 × 10-3), and PTU (rg = 0.29, p = 8.53 × 10-12). Although the MR analyses supported bi-directional relationships, MCP had larger effects on AUD (pain-exposure: beta = 0.18, p = 8.21 × 10-4; pain-outcome: beta = 0.07, p = 0.018), CanUD (pain-exposure: beta = 0.58, p = 2.70 × 10-6; pain-outcome: beta = 0.05, p = 0.014) and PTU (pain-exposure: beta = 0.43, p = 4.16 × 10-8; pain-outcome: beta = 0.09, p = 3.05 × 10-6) than the reverse. The genome-wide analysis identified two SNPs pleiotropic between MCP and all SUD investigated: IHO1 rs7652746 (ppleiotropy = 2.69 × 10-8), and CADM2 rs1248857 (ppleiotropy = 1.98 × 10-5). In the brain-wide analysis, rs7652746 was associated with multiple cerebellum and amygdala imaging phenotypes. When analyzing MCP pleiotropy with each SUD separately, we found 25, 22, and 4 pleiotropic variants for AUD, CanUD, and OUD, respectively. To our knowledge, this is the first large-scale study to provide evidence of potential causal relationships and shared genetic mechanisms underlying MCP-SUD comorbidity.
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Affiliation(s)
- Dora Koller
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
- Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA.
- Department of Genetics, Microbiology, and Statistics, Faculty of Biology, University of Barcelona, Catalonia, Spain.
| | - Eleni Friligkou
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA
| | - Brendan Stiltner
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA
| | - Gita A Pathak
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA
| | - Solveig Løkhammer
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway
- Dr. Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Daniel F Levey
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA
| | - Hang Zhou
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA
| | - Alexander S Hatoum
- Department of Psychological and Brain Sciences, Washington University in Saint Louis, St. Louis, MO, USA
| | - Joseph D Deak
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA
| | - Rachel L Kember
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Mental Illness Research, Education and Clinical Center, Veterans Integrated Service Network 4, Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA
| | - Jorien L Treur
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Henry R Kranzler
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Mental Illness Research, Education and Clinical Center, Veterans Integrated Service Network 4, Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA
| | - Emma C Johnson
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - Murray B Stein
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- VA San Diego Healthcare System, San Diego, CA, USA
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Joel Gelernter
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA
- Department of Genetics, Yale School of Medicine, New Haven, CT, USA
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA
- Wu Tsai Institute, Yale University, New Haven, CT, USA
| | - Renato Polimanti
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
- Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA.
- Wu Tsai Institute, Yale University, New Haven, CT, USA.
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11
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Meng X, Navoly G, Giannakopoulou O, Levey DF, Koller D, Pathak GA, Koen N, Lin K, Adams MJ, Rentería ME, Feng Y, Gaziano JM, Stein DJ, Zar HJ, Campbell ML, van Heel DA, Trivedi B, Finer S, McQuillin A, Bass N, Chundru VK, Martin HC, Huang QQ, Valkovskaya M, Chu CY, Kanjira S, Kuo PH, Chen HC, Tsai SJ, Liu YL, Kendler KS, Peterson RE, Cai N, Fang Y, Sen S, Scott LJ, Burmeister M, Loos RJF, Preuss MH, Actkins KV, Davis LK, Uddin M, Wani AH, Wildman DE, Aiello AE, Ursano RJ, Kessler RC, Kanai M, Okada Y, Sakaue S, Rabinowitz JA, Maher BS, Uhl G, Eaton W, Cruz-Fuentes CS, Martinez-Levy GA, Campos AI, Millwood IY, Chen Z, Li L, Wassertheil-Smoller S, Jiang Y, Tian C, Martin NG, Mitchell BL, Byrne EM, Awasthi S, Coleman JRI, Ripke S, Sofer T, Walters RG, McIntosh AM, Polimanti R, Dunn EC, Stein MB, Gelernter J, Lewis CM, Kuchenbaecker K. Multi-ancestry genome-wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference. Nat Genet 2024; 56:222-233. [PMID: 38177345 PMCID: PMC10864182 DOI: 10.1038/s41588-023-01596-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [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: 07/21/2022] [Accepted: 10/26/2023] [Indexed: 01/06/2024]
Abstract
Most genome-wide association studies (GWAS) of major depression (MD) have been conducted in samples of European ancestry. Here we report a multi-ancestry GWAS of MD, adding data from 21 cohorts with 88,316 MD cases and 902,757 controls to previously reported data. This analysis used a range of measures to define MD and included samples of African (36% of effective sample size), East Asian (26%) and South Asian (6%) ancestry and Hispanic/Latin American participants (32%). The multi-ancestry GWAS identified 53 significantly associated novel loci. For loci from GWAS in European ancestry samples, fewer than expected were transferable to other ancestry groups. Fine mapping benefited from additional sample diversity. A transcriptome-wide association study identified 205 significantly associated novel genes. These findings suggest that, for MD, increasing ancestral and global diversity in genetic studies may be particularly important to ensure discovery of core genes and inform about transferability of findings.
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Affiliation(s)
| | | | | | - Daniel F Levey
- Department of Psychiatry, VA CT Healthcare Center, West Haven, CT, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Dora Koller
- Department of Psychiatry, VA CT Healthcare Center, West Haven, CT, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Department of Genetics, Microbiology and Statistics, University of Barcelona, Barcelona, Spain
| | - Gita A Pathak
- Department of Psychiatry, VA CT Healthcare Center, West Haven, CT, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Nastassja Koen
- SAMRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Kuang Lin
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Mark J Adams
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Miguel E Rentería
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | | | - J Michael Gaziano
- Department of Medicine, VA Boston Healthcare System, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Dan J Stein
- SAMRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Heather J Zar
- SAMRC Unit on Child and Adolescent Health, Department of Paediatrics and Child Health, University of Cape Town, Cape Town, South Africa
| | - Megan L Campbell
- Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | | | - Bhavi Trivedi
- Blizard Institute, Queen Mary University of London, London, UK
| | - Sarah Finer
- Wolfson Institute of Population Health, Queen Mary University of London, London, UK
| | | | - Nick Bass
- Division of Psychiatry, UCL, London, UK
| | | | | | | | | | | | - Susan Kanjira
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Po-Hsiu Kuo
- Department of Public Health and Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei, Taiwan
- Department of Psychiatry, National Taiwan University Hospital, Taipei, Taiwan
| | - Hsi-Chung Chen
- Department of Psychiatry, National Taiwan University Hospital, Taipei, Taiwan
- Center of Sleep Disorders, National Taiwan University Hospital, Taipei, Taiwan
| | - Shih-Jen Tsai
- Institute of Brain Science and Division of Psychiatry, National Yang-Ming Chiao Tung University, Taipei, Taiwan
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Yu-Li Liu
- Center for Neuropsychiatric Research, National Health Research Institutes, Miaoli County, Taiwan
| | | | - Roseann E Peterson
- Department of Psychiatry, VCU, Richmond, VA, USA
- Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Na Cai
- Helmholtz Pioneer Campus, Helmholtz Munich, Neuherberg, Germany
- Computational Health Centre, Helmholtz Munich, Neuherberg, Germany
- Department of Medicine, Technical University of Munich, Munich, Germany
| | - Yu Fang
- Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI, USA
| | - Srijan Sen
- Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI, USA
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Laura J Scott
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Margit Burmeister
- Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI, USA
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Ruth J F Loos
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Michael H Preuss
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ky'Era V Actkins
- Department of Medicine, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lea K Davis
- Department of Medicine, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Monica Uddin
- College of Public Health, University of South Florida, Tampa, FL, USA
| | - Agaz H Wani
- College of Public Health, University of South Florida, Tampa, FL, USA
| | - Derek E Wildman
- Genomics Program, College of Public Health, University of South Florida, Tampa, FL, USA
| | - Allison E Aiello
- Robert N. Butler Columbia Aging Center, Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Robert J Ursano
- Department of Psychiatry, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Ronald C Kessler
- Department of Health Care Policy, Harvard Medical School, Boston, MA, USA
| | - Masahiro Kanai
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Osaka, Japan
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Osaka, Japan
- Department of Genome Informatics, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
- Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Saori Sakaue
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Osaka, Japan
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Jill A Rabinowitz
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Brion S Maher
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - George Uhl
- Neurology and Pharmacology, University of Maryland, Maryland VA Healthcare System, Baltimore, MD, USA
| | - William Eaton
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Carlos S Cruz-Fuentes
- Departamento de Genética, Instituto Nacional de Psiquiatría 'Ramón de la Fuente Muñíz', Mexico City, Mexico
| | - Gabriela A Martinez-Levy
- Departamento de Genética, Instituto Nacional de Psiquiatría 'Ramón de la Fuente Muñíz', Mexico City, Mexico
| | - Adrian I Campos
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
| | - Iona Y Millwood
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, University of Oxford, Oxford, UK
| | - Zhengming Chen
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, University of Oxford, Oxford, UK
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Peking University, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | | | - Yunxuan Jiang
- Department of Biostatistics, Emory University, Atlanta, GA, USA
- 23andMe, Inc., Mountain View, CA, USA
| | - Chao Tian
- 23andMe, Inc., Mountain View, CA, USA
| | - Nicholas G Martin
- Mental Health and Neuroscience Research Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Brittany L Mitchell
- Mental Health and Neuroscience Research Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Enda M Byrne
- Child Health Research Centre, The University of Queensland, Brisbane, Queensland, Australia
| | - Swapnil Awasthi
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin, Berlin, Germany
| | - Jonathan R I Coleman
- Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Stephan Ripke
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin, Berlin, Germany
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Cambridge, MA, USA
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Robin G Walters
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, University of Oxford, Oxford, UK
| | - Andrew M McIntosh
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
- Institute for Genomics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Renato Polimanti
- Department of Psychiatry, VA CT Healthcare Center, West Haven, CT, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- VA Connecticut Healthcare Center, West Haven, CT, USA
| | - Erin C Dunn
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Psychiatric and Neurodevelopmental Genetics Unit (PNGU), Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
| | - Murray B Stein
- Department of Psychiatry, UC San Diego School of Medicine, La Jolla, CA, USA
- Herbert Wertheim School of Public Health and Human Longevity, University of California San Diego, La Jolla, CA, USA
- Psychiatry Service, VA San Diego Healthcare System, San Diego, CA, USA
| | - Joel Gelernter
- Department of Psychiatry, VA CT Healthcare Center, West Haven, CT, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Department of Genetics, Yale University School of Medicine, New Haven, CT, USA
| | - Cathryn M Lewis
- Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Medical and Molecular Genetics, King's College London, London, UK
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Pathak GA, Singh K, Choi KW, Fang Y, Kouakou MR, Lee YH, Zhou X, Fritsche LG, Wendt FR, Davis LK, Polimanti R. Genetic Liability to Posttraumatic Stress Disorder Symptoms and Its Association With Cardiometabolic and Respiratory Outcomes. JAMA Psychiatry 2024; 81:34-44. [PMID: 37910111 PMCID: PMC10620678 DOI: 10.1001/jamapsychiatry.2023.4127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 08/28/2023] [Indexed: 11/03/2023]
Abstract
Importance Posttraumatic stress disorder (PTSD) has been reported to be a risk factor for several physical and somatic symptoms. However, the genetics of PTSD and its potential association with medical outcomes remain unclear. Objective To examine disease categories and laboratory tests from electronic health records (EHRs) that are associated with PTSD polygenic scores. Design, Setting, and Participants This genetic association study was conducted from July 15, 2021, to January 24, 2023, using EHR data from participants across 4 biobanks. The polygenic scores of PTSD symptom severity (PGS-PTSD) were tested with all available phecodes in Vanderbilt University Medical Center's biobank (BioVU), Mass General Brigham (MGB), Michigan Genomics Initiative (MGI), and UK Biobank (UKBB). The significant medical outcomes were tested for overrepresented disease categories and subsequently tested for genetic correlation and 2-sample mendelian randomization (MR) to determine genetically informed associations. Multivariable MR was conducted to assess whether PTSD associations with health outcomes were independent of the genetic effect of body mass index and tobacco smoking. Exposures Polygenic score of PTSD symptom severity. Main Outcomes and Measures A total of 1680 phecodes (ie, International Classification of Diseases, Ninth Revision- and Tenth Revision-based phenotypic definitions of health outcomes) across 4 biobanks and 490 laboratory tests across 2 biobanks (BioVU and MGB). Results In this study including a total of 496 317 individuals (mean [SD] age, 56.8 [8.0] years; 263 048 female [53%]) across the 4 EHR sites, meta-analyzing associations of PGS-PTSD with 1680 phecodes from 496 317 individuals showed significant associations to be overrepresented from mental health disorders (fold enrichment = 3.15; P = 5.81 × 10-6), circulatory system (fold enrichment = 3.32; P = 6.39 × 10-12), digestive (fold enrichment = 2.42; P = 2.16 × 10-7), and respiratory outcomes (fold enrichment = 2.51; P = 8.28 × 10-5). The laboratory measures scan with PGS-PTSD in BioVU and MGB biobanks revealed top associations in metabolic and immune domains. MR identified genetic liability to PTSD symptom severity as an associated risk factor for 12 health outcomes, including alcoholism (β = 0.023; P = 1.49 × 10-4), tachycardia (β = 0.045; P = 8.30 × 10-5), cardiac dysrhythmias (β = 0.016, P = 3.09 × 10-5), and acute pancreatitis (β = 0.049, P = 4.48 × 10-4). Several of these associations were robust to genetic effects of body mass index and smoking. We observed a bidirectional association between PTSD symptoms and nonspecific chest pain and C-reactive protein. Conclusions and Relevance Results of this study suggest the broad health repercussions associated with the genetic liability to PTSD across 4 biobanks. The circulatory and respiratory systems association was observed to be overrepresented in all 4 biobanks.
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Affiliation(s)
- Gita A. Pathak
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
- Veteran Affairs Connecticut Healthcare Center, West Haven
| | - Kritika Singh
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Karmel W. Choi
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
| | - Yu Fang
- Michigan Neuroscience Institute, University of Michigan, Ann Arbor
| | - Manuela R. Kouakou
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
- Veteran Affairs Connecticut Healthcare Center, West Haven
| | - Younga Heather Lee
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
| | - Xiang Zhou
- Department of Biostatistics, School of Public Health, University of Michigan Medicine, Ann Arbor
| | - Lars G. Fritsche
- Department of Biostatistics, School of Public Health, University of Michigan Medicine, Ann Arbor
- Rogel Cancer Center, University of Michigan Medicine, Ann Arbor
- Center for Statistical Genetics, School of Public Health, University of Michigan Medicine, Ann Arbor
| | - Frank R. Wendt
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
- Veteran Affairs Connecticut Healthcare Center, West Haven
- Department of Anthropology, University of Toronto, Mississauga, Ontario, Canada
- Biostatistics Division, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Lea K. Davis
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Renato Polimanti
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
- Veteran Affairs Connecticut Healthcare Center, West Haven
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Zanoaga MD, Friligkou E, He J, Pathak GA, Koller D, Cabrera-Mendoza B, Stein MB, Polimanti R. Brainwide Mendelian Randomization Study of Anxiety Disorders and Symptoms. Biol Psychiatry 2023:S0006-3223(23)01718-3. [PMID: 37967698 DOI: 10.1016/j.biopsych.2023.11.006] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 11/03/2023] [Accepted: 11/08/2023] [Indexed: 11/17/2023]
Abstract
BACKGROUND To gain insights into the role of brain structure and function on anxiety (ANX), we conducted a genetically informed investigation leveraging information from ANX genome-wide association studies available from the UK Biobank (n = 380,379), the FinnGen Program (n = 290,361), and the Million Veteran Program (n = 175,163) together with UK Biobank genome-wide data (n = 33,224) related to 3935 brain imaging-derived phenotypes (IDPs). METHODS A genetic correlation analysis between ANX and brain IDPs was performed using linkage disequilibrium score regression. To investigate ANX-brain associations, a 2-sample Mendelian randomization was performed considering multiple methods and sensitivity analyses. A subsequent multivariable Mendelian randomization was conducted to distinguish between direct and indirect effects. Finally, a generalized linear model was used to explore the associations of brain IDPs with ANX symptoms. RESULTS After false discovery rate correction (q < .05), we identified 41 brain IDPs genetically correlated with ANX without heterogeneity among the datasets investigated (i.e., UK Biobank, FinnGen, and Million Veteran Program). Six of these IDPs showed genetically inferred causal effects on ANX. In the subsequent multivariable Mendelian randomization analysis, reduced area of the right posterior middle cingulate gyrus (β = -0.09, p = 8.01 × 10-4) and reduced gray matter volume of the right anterior superior temporal gyrus (β = -0.09, p = 1.55 × 10-3) had direct effects on ANX. In the ANX symptom-level analysis, the right posterior middle cingulate gyrus was negatively associated with "tense, sore, or aching muscles during the worst period of anxiety" (β = -0.13, p = 8.26 × 10-6). CONCLUSIONS This study identified genetically inferred effects that are generalizable across large cohorts, thereby contributing to our understanding of how changes in brain structure and function can lead to ANX.
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Affiliation(s)
- Mihaela-Diana Zanoaga
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Eleni Friligkou
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut; Veteran Affairs Connecticut Healthcare System, West Haven, Connecticut
| | - Jun He
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut; Veteran Affairs Connecticut Healthcare System, West Haven, Connecticut
| | - Gita A Pathak
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut; Veteran Affairs Connecticut Healthcare System, West Haven, Connecticut
| | - Dora Koller
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut; Department of Genetics, Microbiology, and Statistics, Faculty of Biology, University of Barcelona, Barcelona, Catalonia, Spain
| | - Brenda Cabrera-Mendoza
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut; Veteran Affairs Connecticut Healthcare System, West Haven, Connecticut
| | - Murray B Stein
- Department of Psychiatry, University of California, San Diego, La Jolla, California; Herbert Wertheim School of Public Health, University of California, San Diego, La Jolla, California; Veteran Affairs San Diego Healthcare System, San Diego, California
| | - Renato Polimanti
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut; Veteran Affairs Connecticut Healthcare System, West Haven, Connecticut; Wu Tsai Institute, Yale University, New Haven, Connecticut.
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Kouakou MR, Cabrera-Mendoza B, Pathak GA, Cannon TD, Polimanti R. Household income does not affect the pleiotropy of schizophrenia genetic liability with mental and physical health outcomes. medRxiv 2023:2023.09.25.23296085. [PMID: 37808821 PMCID: PMC10557836 DOI: 10.1101/2023.09.25.23296085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
Abstract
Background and Hypothesis Individuals with schizophrenia (SCZ) suffer from comorbidities that substantially reduce their life expectancy. Socioeconomic inequalities could contribute to many of the negative health outcomes associated with SCZ. Study Design We investigated genome-wide datasets related to SCZ (52,017 cases and 75,889 controls) from the Psychiatric Genomics Consortium, household income (HI; N=361,687) from UK Biobank, and 2,202 medical endpoints assessed in up to 342,499 FinnGen participants. A phenome-wide genetic correlation analysis of SCZ and HI was performed, also assessing whether SCZ genetic correlations were influenced by HI effect on SCZ. Additionally, SCZ and HI direct effects on medical endpoints were estimated using multivariable Mendelian randomization (MR). Study Results SCZ and HI showed overlapping genetic correlations with 70 traits (p<2.89×10 -5 ), including mental health, substance use, gastrointestinal illnesses, reproductive outcomes, liver diseases, respiratory problems, and musculoskeletal phenotypes. SCZ genetic correlations with these traits were not affected by HI effect on SCZ. Considering Bonferroni multiple testing correction (p<7.14×10 -4 ), MR analysis indicated that SCZ and HI may affect medical abortion (SCZ odds ratio, OR=1.07; HI OR=0.78), panic disorder (SCZ OR=1.20; HI OR=0.60), personality disorders (SCZ OR=1.31; HI OR=0.67), substance use (SCZ OR=1.2; HI OR=0.68), and adjustment disorders (SCZ OR=1.18; HI OR=0.78). Multivariable MR analysis confirmed that SCZ effects on these outcomes were independent of HI. Conclusions The effect of SCZ genetic liability on mental and physical health may not be strongly affected by socioeconomic differences. This suggests that SCZ-specific strategies are needed to reduce negative health outcomes affecting patients and high-risk individuals.
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Zanoaga MD, Friligkou E, He J, Pathak GA, Koller D, Cabrera-Mendoza B, Stein MB, Polimanti R. Brain-Wide Mendelian Randomization Study of Anxiety Disorders and Symptoms. medRxiv 2023:2023.09.12.23295448. [PMID: 37745546 PMCID: PMC10516096 DOI: 10.1101/2023.09.12.23295448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
Background To gain insights into the role of brain structure and function on anxiety (ANX), we conducted a genetically informed investigation leveraging information from ANX genome-wide association studies available from UK Biobank (UKB; N=380,379), FinnGen Program (N=290,361), and Million Veteran Program (MVP; N=199,611) together with UKB genome-wide data (N=33,224) related to 3,935 brain imaging-derived phenotypes (IDP). Methods A genetic correlation analysis between ANX and brain IDPs was performed using linkage disequilibrium score regression. To investigate ANX-brain associations, a two-sample Mendelian randomization (MR) was performed considering multiple methods and sensitivity analyses. A subsequent multivariable MR (MVMR) was executed to distinguish between direct and indirect effects. Finally, a generalized linear model was used to explore the associations of brain IDPs with ANX symptoms. Results After false discovery rate correction (FDR q<0.05), we identified 41 brain IDPs genetically correlated with ANX without heterogeneity among the datasets investigated (i.e., UKB, FinnGen, and MVP). Six of these IDPs showed genetically inferred causal effects on ANX. In the subsequent MVMR analysis, reduced area of the right posterior middle-cingulate gyrus (rpMCG; beta=-0.09, P= 8.01×10 -4 ) and reduced gray-matter volume of the right anterior superior temporal gyrus (raSTG; beta=-0.09, P=1.55×10 -3 ) had direct effects on ANX. In the ANX symptom-level analysis, rpMCG was negatively associated with "tense sore oraching muscles during the worst period of anxiety" (beta=-0.13, P=8.26×10 -6 ). Conclusions This study identified genetically inferred effects generalizable across large cohorts, contributing to understand how changes in brain structure and function can lead to ANX.
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Nievergelt CM, Maihofer AX, Atkinson EG, Chen CY, Choi KW, Coleman JR, Daskalakis NP, Duncan LE, Polimanti R, Aaronson C, Amstadter AB, Andersen SB, Andreassen OA, Arbisi PA, Ashley-Koch AE, Austin SB, Avdibegoviç E, Babic D, Bacanu SA, Baker DG, Batzler A, Beckham JC, Belangero S, Benjet C, Bergner C, Bierer LM, Biernacka JM, Bierut LJ, Bisson JI, Boks MP, Bolger EA, Brandolino A, Breen G, Bressan RA, Bryant RA, Bustamante AC, Bybjerg-Grauholm J, Bækvad-Hansen M, Børglum AD, Børte S, Cahn L, Calabrese JR, Caldas-de-Almeida JM, Chatzinakos C, Cheema S, Clouston SAP, Colodro-Conde L, Coombes BJ, Cruz-Fuentes CS, Dale AM, Dalvie S, Davis LK, Deckert J, Delahanty DL, Dennis MF, deRoon-Cassini T, Desarnaud F, DiPietro CP, Disner SG, Docherty AR, Domschke K, Dyb G, Kulenovic AD, Edenberg HJ, Evans A, Fabbri C, Fani N, Farrer LA, Feder A, Feeny NC, Flory JD, Forbes D, Franz CE, Galea S, Garrett ME, Gelaye B, Gelernter J, Geuze E, Gillespie CF, Goci A, Goleva SB, Gordon SD, Grasser LR, Guindalini C, Haas M, Hagenaars S, Hauser MA, Heath AC, Hemmings SM, Hesselbrock V, Hickie IB, Hogan K, Hougaard DM, Huang H, Huckins LM, Hveem K, Jakovljevic M, Javanbakht A, Jenkins GD, Johnson J, Jones I, Jovanovic T, Karstoft KI, Kaufman ML, Kennedy JL, Kessler RC, Khan A, Kimbrel NA, King AP, Koen N, Kotov R, Kranzler HR, Krebs K, Kremen WS, Kuan PF, Lawford BR, Lebois LAM, Lehto K, Levey DF, Lewis C, Liberzon I, Linnstaedt SD, Logue MW, Lori A, Lu Y, Luft BJ, Lupton MK, Luykx JJ, Makotkine I, Maples-Keller JL, Marchese S, Marmar C, Martin NG, MartÍnez-Levy GA, McAloney K, McFarlane A, McLaughlin KA, McLean SA, Medland SE, Mehta D, Meyers J, Michopoulos V, Mikita EA, Milani L, Milberg W, Miller MW, Morey RA, Morris CP, Mors O, Mortensen PB, Mufford MS, Nelson EC, Nordentoft M, Norman SB, Nugent NR, O'Donnell M, Orcutt HK, Pan PM, Panizzon MS, Pathak GA, Peters ES, Peterson AL, Peverill M, Pietrzak RH, Polusny MA, Porjesz B, Powers A, Qin XJ, Ratanatharathorn A, Risbrough VB, Roberts AL, Rothbaum BO, Rothbaum AO, Roy-Byrne P, Ruggiero KJ, Rung A, Runz H, Rutten BPF, de Viteri SS, Salum GA, Sampson L, Sanchez SE, Santoro M, Seah C, Seedat S, Seng JS, Shabalin A, Sheerin CM, Silove D, Smith AK, Smoller JW, Sponheim SR, Stein DJ, Stensland S, Stevens JS, Sumner JA, Teicher MH, Thompson WK, Tiwari AK, Trapido E, Uddin M, Ursano RJ, Valdimarsdóttir U, van den Heuvel LL, Van Hooff M, van Rooij SJ, Vermetten E, Vinkers CH, Voisey J, Wang Z, Wang Y, Waszczuk M, Weber H, Wendt FR, Werge T, Williams MA, Williamson DE, Winsvold BS, Winternitz S, Wolf EJ, Wolf C, Xia Y, Xiong Y, Yehuda R, Young RM, Young KA, Zai CC, Zai GC, Zervas M, Zhao H, Zoellner LA, Zwart JA, Stein MB, Ressler KJ, Koenen KC. Discovery of 95 PTSD loci provides insight into genetic architecture and neurobiology of trauma and stress-related disorders. medRxiv 2023:2023.08.31.23294915. [PMID: 37693460 PMCID: PMC10491375 DOI: 10.1101/2023.08.31.23294915] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
Posttraumatic stress disorder (PTSD) genetics are characterized by lower discoverability than most other psychiatric disorders. The contribution to biological understanding from previous genetic studies has thus been limited. We performed a multi-ancestry meta-analysis of genome-wide association studies across 1,222,882 individuals of European ancestry (137,136 cases) and 58,051 admixed individuals with African and Native American ancestry (13,624 cases). We identified 95 genome-wide significant loci (80 novel). Convergent multi-omic approaches identified 43 potential causal genes, broadly classified as neurotransmitter and ion channel synaptic modulators (e.g., GRIA1, GRM8, CACNA1E ), developmental, axon guidance, and transcription factors (e.g., FOXP2, EFNA5, DCC ), synaptic structure and function genes (e.g., PCLO, NCAM1, PDE4B ), and endocrine or immune regulators (e.g., ESR1, TRAF3, TANK ). Additional top genes influence stress, immune, fear, and threat-related processes, previously hypothesized to underlie PTSD neurobiology. These findings strengthen our understanding of neurobiological systems relevant to PTSD pathophysiology, while also opening new areas for investigation.
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He J, Cabrera-Mendoza B, Angelis FD, Pathak GA, Koller D, Curhan SG, Curhan GC, Mecca AP, van Dyck CH, Polimanti R. Sex differences in the pleiotropy of hearing difficulty with imaging-derived phenotypes: a brain-wide investigation. medRxiv 2023:2023.08.25.23294639. [PMID: 37693474 PMCID: PMC10491277 DOI: 10.1101/2023.08.25.23294639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
Background Hearing difficulty (HD) is one of the major health burdens in older adults. While aging-related changes in the peripheral auditory system play an important role, genetic variation associated with brain structure and function could also be involved in HD predisposition. Methods We analyzed a large-scale HD genome-wide association study (GWAS; N total = 501,825, 56% females) and GWAS data related to 3,935 brain imaging-derived phenotypes (IDPs) assessed in up to 33,224 individuals (52% females) using multiple magnetic resonance imaging (MRI) modalities. To investigate HD pleiotropy with brain structure and function, we conducted genetic correlation, latent causal variable (LCV), Mendelian randomization (MR), and multivariable generalized linear regression analyses. Additionally, we performed local genetic correlation and multi-trait colocalization analyses to identify genomic regions and loci implicated in the pleiotropic mechanisms shared between HD and brain IDPs. Results We observed a widespread genetic correlation of HD with 120 IDPs in females, 89 IDPs in males, and 171 IDPs in the sex-combined analysis. The LCV analyses showed that some of these genetic correlations could be due to cause-effect relationships. For seven correlations, the causal effects were also confirmed by the MR approach: vessel volume→HD in the sex-combined analysis; hippocampus volume→HD, cerebellum grey matter volume→HD, primary visual cortex volume→HD, and HD→rfMRI-ICA100 node 46 in females; global mean thickness→HD and HD→mean orientation dispersion index in superior corona radiata in males. The local genetic correlation analyses identified 13 pleiotropic regions between HD and these seven IDPs. We also observed a colocalization signal for the rs13026575 variant between HD, primary visual cortex volume, and SPTBN1 transcriptomic regulation in females. Conclusion Brain structure and function may have a role in the sex differences in HD predisposition via possible cause-effect relationships and shared regulatory mechanisms.
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Friligkou E, Koller D, Pathak GA, Miller EJ, Lampert R, Stein MB, Polimanti R. Integrating Genome-wide information and Wearable Device Data to Explore the Link of Anxiety and Antidepressants with Heart Rate Variability. medRxiv 2023:2023.08.02.23293170. [PMID: 37577704 PMCID: PMC10418572 DOI: 10.1101/2023.08.02.23293170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/15/2023]
Abstract
Background Anxiety disorders are associated with decreased heart rate variability (HRV), but the underlying mechanisms remain elusive. Methods We selected individuals with whole-genome sequencing, Fitbit, and electronic health record data (N=920; 61,333 data points) from the All of Us Research Program. Anxiety PRS were derived with PRS-CS after meta-analyzing anxiety genome-wide association studies from three major cohorts-UK Biobank, FinnGen, and the Million Veterans Program (N Total =364,550). The standard deviation of average RR intervals (SDANN) was calculated using five-minute average RR intervals over full 24-hour heart rate measurements. Antidepressant exposure was defined as an active antidepressant prescription at the time of the HRV measurement in the EHR. The associations of daily SDANN measurements with the anxiety PRS, antidepressant classes, and antidepressant substances were tested. Participants with lifetime diagnoses of cardiovascular disorders, diabetes mellitus, and major depression were excluded in sensitivity analyses. One-sample Mendelian randomization (MR) was employed to assess potential causal effect of anxiety on SDANN. Results Anxiety PRS was independently associated with reduced SDANN (beta=-0.08; p=0.003). Of the eight antidepressant medications and four classes tested, venlafaxine (beta=-0.12, p=0.002) and bupropion (beta=-0.071, p=0.01), tricyclic antidepressants (beta=-0.177, p=0.0008), selective serotonin reuptake inhibitors (beta=-0.069; p=0.0008) and serotonin and norepinephrine reuptake inhibitors (beta=-0.16; p=2×10 -6 ) were associated with decreased SDANN. One-sample MR indicated an inverse effect of anxiety on SDANN (beta=-2.22, p=0.03). Conclusions Anxiety and antidepressants are independently associated with decreased HRV, and anxiety appears to exert a causal effect on HRV. Our observational findings provide novel insights into the impact of anxiety on HRV.
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D'Antona S, Pathak GA, Koller D, Porro D, Cava C, Polimanti R. Phenome-wide genetic-correlation analysis and genetically informed causal inference of amyotrophic lateral sclerosis. Hum Genet 2023; 142:1173-1183. [PMID: 36773064 PMCID: PMC10449723 DOI: 10.1007/s00439-023-02525-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [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: 10/18/2022] [Accepted: 01/18/2023] [Indexed: 02/12/2023]
Abstract
Leveraging genome-wide association statistics generated from a large study of amyotrophic lateral sclerosis (ALS; 29,612 cases and 122,656 controls) and UK Biobank (UKB; 4,024 phenotypes, up to 361,194 participants), we conducted a phenome-wide analysis of ALS genetic liability and identified 46 genetically correlated traits, such as fluid intelligence score (rg = - 0.21, p = 1.74 × 10-6), "spending time in pub or social club" (rg = 0.24, p = 2.77 × 10-6), non-work related walking (rg = - 0.25, p = 1.95 × 10-6), college education (rg = - 0.15, p = 7.08 × 10-5), "ever diagnosed with panic attacks (rg = 0.39, p = 4.24 × 10-5), and "self-reported other gastritis including duodenitis" (rg = 0.28, p = 1.4 × 10-3). To assess the putative directionality of these genetic correlations, we conducted a latent causal variable analysis, identifying significant genetic causality proportions (gĉp) linking ALS genetic liability to seven traits. While the genetic component of "self-reported other gastritis including duodenitis" showed a causal effect on ALS (gĉp = 0.50, p = 1.26 × 10-29), the genetic liability to ALS is potentially causal for multiple traits, also including an effect on "ever being diagnosed with panic attacks" (gĉp = 0.79, p = 5.011 × 10-15) and inverse effects on "other leisure/social group activities" (gĉp = 0.66, p = 1 × 10-4) and prospective memory result (gĉp = 0.35, p = 0.005). Our subsequent Mendelian randomization analysis indicated that some of these associations may be due to bidirectional effects. In conclusion, this phenome-wide investigation of ALS polygenic architecture highlights the widespread pleiotropy linking this disorder with several health domains.
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Affiliation(s)
- Salvatore D'Antona
- Institute of Bioimaging and Molecular Physiology, National Research Council, Milan, Italy
| | - Gita A Pathak
- Division of Human Genetics, Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Dora Koller
- Division of Human Genetics, Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
- Department of Genetics, Microbiology and Statistics, University of Barcelona, Barcelona, Catalonia, Spain
| | - Danilo Porro
- Institute of Bioimaging and Molecular Physiology, National Research Council, Milan, Italy
| | - Claudia Cava
- Institute of Bioimaging and Molecular Physiology, National Research Council, Milan, Italy.
| | - Renato Polimanti
- Division of Human Genetics, Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
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Asgel Z, Kouakou MR, Koller D, Pathak GA, Cabrera-Mendoza B, Polimanti R. Unraveling COVID-19 Relationship with Anxiety Disorders and Symptoms. medRxiv 2023:2023.07.21.23293001. [PMID: 37503035 PMCID: PMC10371119 DOI: 10.1101/2023.07.21.23293001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Abstract
Background While COVID-19 outcomes are associated with increased anxiety, individuals affected by anxiety disorders are more likely to develop severe COVID-19 outcomes. Methods We used genome-wide data from UK Biobank (up to 420,531 participants), FinnGen Project (up to 329,077 participants), Million Veteran Program (175,163 participants), and COVID-19 Host Genetics Initiative (up to 122,616 cases and 2,475,240 controls) to investigate possible causal effects and shared genetic mechanisms linking COVID-19 outcomes to anxiety disorders and symptoms. Results We observed a strong genetic correlation of anxiety disorder with COVID-19 positive status (rg=0.35, p=2 × 10 -4 ) and COVID-19 hospitalization (rg=0.31, p=7.2 × 10 -4 ). Among anxiety symptoms, "Tense, sore, or aching muscles during worst period of anxiety" was genetically correlated with COVID-19 positive status (rg=0.33, p=0.001), while "Frequent trouble falling or staying asleep during worst period of anxiety" was genetically correlated with COVID-19 hospitalization (rg=0.24, p=0.004). Through a latent causal variable analysis, we observed that COVID-19 outcomes have statistically significant genetic causality proportion (gcp) on anxiety symptoms (e.g., COVID-19 positive status→"Recent easy annoyance or irritability" │gcp│=0.18, p=6.72 × 10 -17 ). Conversely, anxiety disorders appear to have a possible causal effect on COVID-19 (│gcp│=0.38, p=3.17 × 10 -9 ). Additionally, we also identified multiple loci with evidence of local genetic correlation between anxiety and COVID-19. These appear to be related to genetic effects shared with lung function, brain morphology, alcohol and tobacco use, and hematologic parameters. Conclusions This study provided important insights into the relationship between COVID-19 and mental health, differentiating the dynamics linking anxiety disorders to COVID-19 from the effect of COVID-19 on anxiety symptoms.
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De Lillo A, Wendt FR, Pathak GA, Polimanti R. Characterizing the polygenic architecture of complex traits in populations of East Asian and European descent. Hum Genomics 2023; 17:67. [PMID: 37475089 PMCID: PMC10360343 DOI: 10.1186/s40246-023-00514-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [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: 06/13/2023] [Accepted: 07/14/2023] [Indexed: 07/22/2023] Open
Abstract
To investigate the polygenicity of complex traits in populations of East Asian (EAS) and European (EUR) descents, we leveraged genome-wide data from Biobank Japan, UK Biobank, and FinnGen cohorts. Specifically, we analyzed up to 215 outcomes related to 18 health domains, assessing their polygenic architecture via descriptive statistics, such as the proportion of susceptibility SNPs per trait (πc). While we did not observe EAS-EUR differences in the overall distribution of polygenicity parameters across the phenotypes investigated, there were ancestry-specific patterns in the polygenicity differences between health domains. In EAS, pairwise comparisons across health domains showed enrichment for πc differences related to hematological and metabolic traits (hematological fold-enrichment = 4.45, p = 2.15 × 10-7; metabolic fold-enrichment = 4.05, p = 4.01 × 10-6). For both categories, the proportion of susceptibility SNPs was lower than that observed for several other health domains (EAS-hematological median πc = 0.15%, EAS-metabolic median πc = 0.18%) with the strongest πc difference with respect to respiratory traits (EAS-respiratory median πc = 0.50%; hematological-p = 2.26 × 10-3; metabolic-p = 3.48 × 10-3). In EUR, pairwise comparisons showed multiple πc differences related to the endocrine category (fold-enrichment = 5.83, p = 4.76 × 10-6), where these traits showed a low proportion of susceptibility SNPs (EUR-endocrine median πc = 0.01%) with the strongest difference with respect to psychiatric phenotypes (EUR-psychiatric median πc = 0.50%; p = 1.19 × 10-4). Simulating sample sizes of 1,000,000 and 5,000,000 individuals, we also showed that ancestry-specific polygenicity patterns translate into differences across health domains in the genetic variance explained by susceptibility SNPs projected to be genome-wide significant (e.g., EAS hematological-neoplasm p = 2.18 × 10-4; EUR endocrine-gastrointestinal p = 6.80 × 10-4). These findings highlight that traits related to the same health domains may present ancestry-specific variability in their polygenicity.
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Affiliation(s)
- Antonella De Lillo
- Department of Psychiatry, Yale University School of Medicine, 60 Temple, Suite 7A, New Haven, CT, 06510, USA
- Department of Biology, University of Rome "Tor Vergata", Rome, Italy
| | - Frank R Wendt
- Department of Psychiatry, Yale University School of Medicine, 60 Temple, Suite 7A, New Haven, CT, 06510, USA
- Department of Anthropology, University of Toronto, Mississauga, ON, Canada
- Biostatistics Division, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Gita A Pathak
- Department of Psychiatry, Yale University School of Medicine, 60 Temple, Suite 7A, New Haven, CT, 06510, USA
- VA CT Healthcare Center, West Haven, CT, USA
| | - Renato Polimanti
- Department of Psychiatry, Yale University School of Medicine, 60 Temple, Suite 7A, New Haven, CT, 06510, USA.
- VA CT Healthcare Center, West Haven, CT, USA.
- Wu Tsai Institute, Yale University, New Haven, CT, USA.
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22
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De Lillo A, Wendt FR, Pathak GA, Polimanti R. Characterizing the polygenic architecture of complex traits in populations of East Asian and European descent. medRxiv 2023:2023.05.25.23290542. [PMID: 37398225 PMCID: PMC10312887 DOI: 10.1101/2023.05.25.23290542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
To investigate the polygenicity of complex traits in populations of East Asian (EAS) and European (EUR) descents, we leveraged genome-wide data from Biobank Japan, UK Biobank, and FinnGen cohorts. Specifically, we analyzed up to 215 outcomes related to 18 health domains, assessing their polygenic architecture via descriptive statistics, such as the proportion of susceptibility SNPs per trait (π c ). While we did not observe EAS-EUR differences in the overall distribution of polygenicity parameters across the phenotypes investigated, there were ancestry-specific patterns in the polygenicity differences between health domains. In EAS, pairwise comparisons across health domains showed enrichment for π c differences related to hematological and metabolic traits (hematological fold-enrichment=4.45, p=2.15×10 -7 ; metabolic fold-enrichment=4.05, p=4.01×10 -6 ). For both categories, the proportion of susceptibility SNPs was lower than that observed for several other health domains (EAS-hematological median π c =0.15%, EAS-metabolic median π c =0.18%) with the strongest π c difference with respect to respiratory traits (EAS-respiratory median π c =0.50%; Hematological-p=2.26×10 -3 ; Metabolic-p=3.48×10 -3 ). In EUR, pairwise comparisons showed multiple π c differences related to the endocrine category (fold-enrichment=5.83, p=4.76×10 -6 ), where these traits showed a low proportion of susceptibility SNPs (EUR-endocrine median π c =0.01%) with the strongest difference with respect to psychiatric phenotypes (EUR-psychiatric median π c =0.50%; p=1.19×10 -4 ). Simulating sample sizes of 1,000,000 and 5,000,000 individuals, we also showed that ancestry-specific polygenicity patterns translate into differences across health domains in the genetic variance explained by susceptibility SNPs projected to be genome-wide significant (e.g., EAS hematological-neoplasm p=2.18×10 -4 ; EUR endocrine-gastrointestinal p=6.80×10 -4 ). These findings highlight that traits related to the same health domains may present ancestry-specific variability in their polygenicity.
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23
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Wendt FR, Pathak GA, Vahey J, Qin X, Koller D, Cabrera-Mendoza B, Haeny A, Harrington KM, Rajeevan N, Duong LM, Levey DF, De Angelis F, De Lillo A, Bigdeli TB, Pyarajan S, Gaziano JM, Gelernter J, Aslan M, Provenzale D, Helmer DA, Hauser ER, Polimanti R. Modeling the longitudinal changes of ancestry diversity in the Million Veteran Program. Hum Genomics 2023; 17:46. [PMID: 37268996 PMCID: PMC10239111 DOI: 10.1186/s40246-023-00487-3] [Citation(s) in RCA: 3] [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] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 05/05/2023] [Indexed: 06/04/2023] Open
Abstract
BACKGROUND The Million Veteran Program (MVP) participants represent 100 years of US history, including significant social and demographic changes over time. Our study assessed two aspects of the MVP: (i) longitudinal changes in population diversity and (ii) how these changes can be accounted for in genome-wide association studies (GWAS). To investigate these aspects, we divided MVP participants into five birth cohorts (N-range = 123,888 [born from 1943 to 1947] to 136,699 [born from 1948 to 1953]). RESULTS Ancestry groups were defined by (i) HARE (harmonized ancestry and race/ethnicity) and (ii) a random-forest clustering approach using the 1000 Genomes Project and the Human Genome Diversity Project (1kGP + HGDP) reference panels (77 world populations representing six continental groups). In these groups, we performed GWASs of height, a trait potentially affected by population stratification. Birth cohorts demonstrate important trends in ancestry diversity over time. More recent HARE-assigned Europeans, Africans, and Hispanics had lower European ancestry proportions than older birth cohorts (0.010 < Cohen's d < 0.259, p < 7.80 × 10-4). Conversely, HARE-assigned East Asians showed an increase in European ancestry proportion over time. In GWAS of height using HARE assignments, genomic inflation due to population stratification was prevalent across all birth cohorts (linkage disequilibrium score regression intercept = 1.08 ± 0.042). The 1kGP + HGDP-based ancestry assignment significantly reduced the population stratification (mean intercept reduction = 0.045 ± 0.007, p < 0.05) confounding in the GWAS statistics. CONCLUSIONS This study provides a characterization of ancestry diversity of the MVP cohort over time and compares two strategies to infer genetically defined ancestry groups by assessing differences in controlling population stratification in genome-wide association studies.
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Affiliation(s)
- Frank R Wendt
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- VA Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA CT Healthcare System, VA CT 116A2, 950 Campbell Avenue, West Haven, CT, 06516, USA
| | - Gita A Pathak
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- VA Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA CT Healthcare System, VA CT 116A2, 950 Campbell Avenue, West Haven, CT, 06516, USA
| | - Jacqueline Vahey
- Durham VA Medical Center, Durham, NC, USA
- Duke University, Carmichael Building, 300 N Duke St, Durham, NC, 27701, USA
| | - Xuejun Qin
- Durham VA Medical Center, Durham, NC, USA
- Duke University, Carmichael Building, 300 N Duke St, Durham, NC, 27701, USA
| | - Dora Koller
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- VA Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA CT Healthcare System, VA CT 116A2, 950 Campbell Avenue, West Haven, CT, 06516, USA
| | - Brenda Cabrera-Mendoza
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- VA Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA CT Healthcare System, VA CT 116A2, 950 Campbell Avenue, West Haven, CT, 06516, USA
| | - Angela Haeny
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Kelly M Harrington
- Massachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA
| | - Nallakkandi Rajeevan
- VA Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA CT Healthcare System, VA CT 116A2, 950 Campbell Avenue, West Haven, CT, 06516, USA
- Yale Center for Medical Informatics, Yale School of Medicine, New Haven, CT, USA
| | - Linh M Duong
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- VA Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA CT Healthcare System, VA CT 116A2, 950 Campbell Avenue, West Haven, CT, 06516, USA
| | - Daniel F Levey
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- VA Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA CT Healthcare System, VA CT 116A2, 950 Campbell Avenue, West Haven, CT, 06516, USA
| | - Flavio De Angelis
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- VA Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA CT Healthcare System, VA CT 116A2, 950 Campbell Avenue, West Haven, CT, 06516, USA
| | | | - Tim B Bigdeli
- SUNY Downstate Health Sciences University, Brooklyn, NY, USA
- VA New York Harbor Healthcare System, Brooklyn, NY, USA
| | - Saiju Pyarajan
- Massachusetts Area Veterans Epidemiology, Research, and Information Center (MAVERIC), Jamaica Plain, MA, USA
- VA Cooperative Studies Program, VA Boston Healthcare System, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital and Harvard School of Medicine, Boston, MA, USA
| | - John Michael Gaziano
- VA Cooperative Studies Program, VA Boston Healthcare System, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital and Harvard School of Medicine, Boston, MA, USA
| | - Joel Gelernter
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Department of Genetics, Yale School of Medicine, New Haven, CT, USA
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA
- Department of Psychiatry, VA CT Healthcare System, West Haven, CT, USA
| | - Mihaela Aslan
- VA Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA CT Healthcare System, VA CT 116A2, 950 Campbell Avenue, West Haven, CT, 06516, USA
- Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Dawn Provenzale
- Durham VA Medical Center, Durham, NC, USA
- Duke University, Carmichael Building, 300 N Duke St, Durham, NC, 27701, USA
- Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Drew A Helmer
- Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, Houston, TX, USA
- Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Elizabeth R Hauser
- Durham VA Medical Center, Durham, NC, USA.
- Duke University, Carmichael Building, 300 N Duke St, Durham, NC, 27701, USA.
| | - Renato Polimanti
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
- VA Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA CT Healthcare System, VA CT 116A2, 950 Campbell Avenue, West Haven, CT, 06516, USA.
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Colbert SMC, Wendt FR, Pathak GA, Helmer DA, Hauser ER, Keller MC, Polimanti R, Johnson EC. Declining autozygosity over time: An exploration in over 1 million individuals from three diverse cohorts. Am J Hum Genet 2023; 110:1008-1014. [PMID: 37178685 PMCID: PMC10257001 DOI: 10.1016/j.ajhg.2023.04.007] [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: 10/13/2022] [Accepted: 04/19/2023] [Indexed: 05/15/2023] Open
Abstract
Previous studies have hypothesized that autozygosity is decreasing over generational time. However, these studies were limited to relatively small samples (n < 11,000) lacking in diversity, which may limit the generalizability of their findings. We present data that partially support this hypothesis from three large cohorts of diverse ancestries, two from the US (All of Us, n = 82,474; the Million Veteran Program, n = 622,497) and one from the UK (UK Biobank, n = 380,899). Our results from a mixed-effect meta-analysis demonstrate an overall trend of decreasing autozygosity over generational time (meta-analyzed slope = -0.029, SE = 0.009, p = 6.03e-4). On the basis of our estimates, we would predict FROH to decline 0.29% for every 20-year increase in birth year. We determined that a model including an ancestry-by-country interaction term fit the data best, indicating that ancestry differences in this trend differ by country. We found further evidence to suggest a difference between the US and UK cohorts by meta-analyzing within country, observing a significant negative estimate in the US cohorts (meta-analyzed slope = -0.058, SE = 0.015, p = 1.50e-4) but a non-significant estimate in the UK (meta-analyzed slope = -0.001, SE = 0.008, p = 0.945). The association between autozygosity and birth year was substantially attenuated when accounting for educational attainment and income (meta-analyzed slope = -0.011, SE = 0.008, p = 0.167), suggesting they may partially account for decreasing autozygosity over time. Overall, we demonstrate decreasing autozygosity over time in a large, modern sample and speculate that this trend can be attributed to increases in urbanization and panmixia and differences in sociodemographic processes lead to country-specific differences in the rate of decline.
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Affiliation(s)
- Sarah M C Colbert
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Frank R Wendt
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA; VA Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA CT Healthcare System, West Haven, CT, USA; Department of Anthropology, University of Toronto, Mississauga, ON, Canada; Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Gita A Pathak
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA; VA Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA CT Healthcare System, West Haven, CT, USA
| | - Drew A Helmer
- Department of Medicine, Baylor College of Medicine, Houston, TX 77030, USA; Center for Innovations in Quality, Effectiveness, and Safety (IQuESt), Michael E. DeBakey VA Medical Center, Houston, TX 77030, USA
| | - Elizabeth R Hauser
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC 27705, USA; VA Cooperative Studies Program Epidemiology Center-Durham, Department of Veterans Affairs, Durham, NC 27705, USA
| | - Matthew C Keller
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA; Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
| | - Renato Polimanti
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA; VA Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA CT Healthcare System, West Haven, CT, USA
| | - Emma C Johnson
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
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25
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De Angelis F, Zeleznik OA, Wendt FR, Pathak GA, Tylee DS, De Lillo A, Koller D, Cabrera-Mendoza B, Clifford RE, Maihofer AX, Nievergelt CM, Curhan GC, Curhan SG, Polimanti R. Sex differences in the polygenic architecture of hearing problems in adults. Genome Med 2023; 15:36. [PMID: 37165447 PMCID: PMC10173489 DOI: 10.1186/s13073-023-01186-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [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: 12/23/2022] [Accepted: 04/28/2023] [Indexed: 05/12/2023] Open
Abstract
BACKGROUND Hearing problems (HP) in adults are common and are associated with several comorbid conditions. Its prevalence increases with age, reflecting the cumulative effect of environmental factors and genetic predisposition. Although several risk loci have been already identified, HP biology and epidemiology are still insufficiently investigated by large-scale genetic studies. METHODS Leveraging the UK Biobank, the Nurses' Health Studies (I and II), the Health Professionals Follow-up Study, and the Million Veteran Program, we conducted a comprehensive genome-wide investigation of HP in 748,668 adult participants (discovery N = 501,825; replication N = 226,043; cross-ancestry replication N = 20,800). We leveraged the GWAS findings to characterize HP polygenic architecture, exploring sex differences, polygenic risk across ancestries, tissue-specific transcriptomic regulation, cause-effect relationships with genetically correlated traits, and gene interactions with HP environmental risk factors. RESULTS We identified 54 risk loci and demonstrated that HP polygenic risk is shared across ancestry groups. Our transcriptomic regulation analysis highlighted the potential role of the central nervous system in HP pathogenesis. The sex-stratified analyses showed several additional associations related to peripheral hormonally regulated tissues reflecting a potential role of estrogen in hearing function. This evidence was supported by the multivariate interaction analysis that showed how genes involved in brain development interact with sex, noise pollution, and tobacco smoking in relation to their HP associations. Additionally, the genetically informed causal inference analysis showed that HP is linked to many physical and mental health outcomes. CONCLUSIONS The results provide many novel insights into the biology and epidemiology of HP in adults. Our sex-specific analyses and transcriptomic associations highlighted molecular pathways that may be targeted for drug development or repurposing. Additionally, the potential causal relationships identified may support novel preventive screening programs to identify individuals at risk.
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Affiliation(s)
- Flavio De Angelis
- Department of Psychiatry, Yale University School of Medicine, 60 Temple, Suite 7A, New Haven, CT, USA
- Veteran Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Oana A Zeleznik
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Frank R Wendt
- Department of Psychiatry, Yale University School of Medicine, 60 Temple, Suite 7A, New Haven, CT, USA
- Veteran Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Gita A Pathak
- Department of Psychiatry, Yale University School of Medicine, 60 Temple, Suite 7A, New Haven, CT, USA
- Veteran Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Daniel S Tylee
- Department of Psychiatry, Yale University School of Medicine, 60 Temple, Suite 7A, New Haven, CT, USA
- Veteran Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Antonella De Lillo
- Department of Psychiatry, Yale University School of Medicine, 60 Temple, Suite 7A, New Haven, CT, USA
- Department of Biology, University of Rome "Tor Vergata", Rome, Italy
| | - Dora Koller
- Department of Psychiatry, Yale University School of Medicine, 60 Temple, Suite 7A, New Haven, CT, USA
- Veteran Affairs Connecticut Healthcare System, West Haven, CT, USA
- Department of Genetics, Microbiology and Statistics, Faculty of Biology, University of Barcelona, Barcelona, Spain
| | - Brenda Cabrera-Mendoza
- Department of Psychiatry, Yale University School of Medicine, 60 Temple, Suite 7A, New Haven, CT, USA
- Veteran Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Royce E Clifford
- Division of Otolaryngology, Department of Surgery, University of California, San Diego, La Jolla, CA, USA
- Research Service, Veterans Affairs San Diego Healthcare System, San Diego, CA, USA
| | - Adam X Maihofer
- Research Service, Veterans Affairs San Diego Healthcare System, San Diego, CA, USA
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
- Center of Excellence for Stress and Mental Health, Veterans Affairs San Diego Healthcare System, San Diego, CA, USA
| | - Caroline M Nievergelt
- Research Service, Veterans Affairs San Diego Healthcare System, San Diego, CA, USA
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
- Center of Excellence for Stress and Mental Health, Veterans Affairs San Diego Healthcare System, San Diego, CA, USA
| | - Gary C Curhan
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Sharon G Curhan
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Renato Polimanti
- Department of Psychiatry, Yale University School of Medicine, 60 Temple, Suite 7A, New Haven, CT, USA.
- Veteran Affairs Connecticut Healthcare System, West Haven, CT, USA.
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Wendt FR, Pathak GA, Singh K, Stein MB, Koenen KC, Krystal JH, Gelernter J, Davis LK, Polimanti R. Sex-Specific Genetic and Transcriptomic Liability to Neuroticism. Biol Psychiatry 2023; 93:243-252. [PMID: 36244801 PMCID: PMC10508260 DOI: 10.1016/j.biopsych.2022.07.019] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [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: 03/02/2022] [Revised: 06/08/2022] [Accepted: 07/13/2022] [Indexed: 01/06/2023]
Abstract
BACKGROUND The presentation, etiology, and relative risk of psychiatric disorders are strongly influenced by biological sex. Neuroticism is a transdiagnostic feature of psychiatric disorders displaying prominent sex differences. We performed genome-wide association studies of neuroticism separately in males and females to identify sex-specific genetic and transcriptomic profiles. METHODS Neuroticism scores were derived from the Eysenck Personality Inventory Neuroticism scale. Genome-wide association studies were performed in 145,669 females and 129,229 males from the UK Biobank considering autosomal and X chromosomal variation. Two-sided z tests were used to test for sex-specific effects of discovered loci, genetic correlates (n = 673 traits), tissue and gene transcriptomic profiles, and polygenic associations across health outcomes in the Vanderbilt University Biobank (39,692 females and 31,268 males). RESULTS The single nucleotide polymorphism heritability of neuroticism was not statistically different between males (h2 = 10.6%) and females (h2 = 11.85%). Four female-specific (rs10736549-CNTN5, rs6507056-ASXL3, rs2087182-MMS22L, and rs72995548-HSPB2) and 2 male-specific (rs10507274-MED13L and rs7984597) neuroticism risk loci reached genome-wide significance. Male- and female-specific neuroticism polygenic scores were most significantly associated with mood disorders (males: odds ratio = 1.11, p = 1.40 × 10-9; females: odds ratio = 1.14, p = 6.05 × 10-22). They also associated with sex-specific laboratory measurements related to erythrocyte count, distribution, and hemoglobin concentration. Gene expression variation in the pituitary was enriched for neuroticism loci in males (male: b = 0.026, p = .002), and genetically regulated transcriptomic changes highlighted the effect of SHISHA9, TEX26, and NCOA6. CONCLUSIONS Through a comprehensive assessment of genetic risk for neuroticism and the associated biological processes, this study identified several molecular pathways that can partially explain the known sex differences in neurotic symptoms and their psychiatric comorbidities.
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Affiliation(s)
- Frank R Wendt
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut; VA CT Healthcare System, West Haven, Connecticut; Department of Anthropology, University of Toronto, Mississauga, Ontario, Canada; Biostatistics Division, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
| | - Gita A Pathak
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut; VA CT Healthcare System, West Haven, Connecticut
| | - Kritika Singh
- Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, Tennessee; Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Murray B Stein
- Psychiatry Service, VA San Diego Healthcare System, San Diego, California; Department of Psychiatry, University of California, San Diego, San Diego, California; Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, San Diego, California
| | - Karestan C Koenen
- Stanley Center for Psychiatry Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts; Psychiatry and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts; Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts
| | - John H Krystal
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
| | - Joel Gelernter
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut; Department of Genetics, Yale School of Medicine, New Haven, Connecticut; Department of Neuroscience, Yale School of Medicine, New Haven, Connecticut; VA CT Healthcare System, West Haven, Connecticut
| | - Lea K Davis
- Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, Tennessee; Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Renato Polimanti
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut; VA CT Healthcare System, West Haven, Connecticut.
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27
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Koller D, Pathak GA, Wendt FR, Tylee DS, Levey DF, Overstreet C, Gelernter J, Taylor HS, Polimanti R. Epidemiologic and Genetic Associations of Endometriosis With Depression, Anxiety, and Eating Disorders. JAMA Netw Open 2023; 6:e2251214. [PMID: 36652249 PMCID: PMC9856929 DOI: 10.1001/jamanetworkopen.2022.51214] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
IMPORTANCE Endometriosis is a common chronic gynecologic pathology with a large negative impact on women's health. Beyond severe physical symptoms, endometriosis is also associated with several psychiatric comorbidities, including depression and anxiety. OBJECTIVE To investigate whether pleiotropy contributes to the association of endometriosis with depression, anxiety, and eating disorders. DESIGN, SETTING, AND PARTICIPANTS This genetic association study was performed between September 13, 2021, and June 24, 2022, in 202 276 unrelated female participants. Genotypic and phenotypic information from the UK Biobank was combined with genome-wide association statistics available from the Psychiatric Genomics Consortium (11 countries), the Million Veteran Program (US), the FinnGen study (Finland), and the CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology) consortium (5 countries). MAIN OUTCOMES AND MEASURES The main outcomes were the phenotypic and genetic associations of endometriosis with anxiety, depression, and eating disorders. RESULTS A total of 8276 women with endometriosis (mean [SD] age, 53.1 [7.9] years) and 194 000 female controls (mean [SD] age, 56.7 [7.9] years) were included in the study. In a multivariate regression analysis accounting for age, body mass index, socioeconomic status, chronic pain-related phenotypes, irritable bowel syndrome, and psychiatric comorbidities, endometriosis was associated with increased odds of depression (odds ratio [OR], 3.61; 95% CI, 3.32-3.92), eating disorders (OR, 2.94; 95% CI, 1.96-4.41), and anxiety (OR, 2.61; 95% CI, 2.30-2.97). These associations were supported by consistent genetic correlations (rg) (depression rg, 0.36, P = 1.5 × 10-9; anxiety rg, 0.33, P = 1.17 × 10-5; and eating disorders rg, 0.61, P = .02). With the application of a 1-sample mendelian randomization, the genetic liabilities to depression and anxiety were associated with increased odds of endometriosis (depression: OR, 1.09; 95% CI, 1.08-1.11; anxiety: OR, 1.39; 95% CI, 1.13-1.65). A genome-wide analysis of pleiotropic associations shared between endometriosis and psychiatric disorders identified 1 locus, DGKB rs12666606, with evidence of pleiotropy between endometriosis and depression after multiple testing correction (z = -9.46 for endometriosis, z = 8.10 for depression, P = 5.56 × 10-8; false discovery rate q = 4.95 × 10-4). CONCLUSIONS AND RELEVANCE These findings highlight that endometriosis is associated with women's mental health through pleiotropic mechanisms. To our knowledge, this is the first large-scale study to provide genetic and phenotypic evidence of the processes underlying the psychiatric comorbidities of endometriosis.
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Affiliation(s)
- Dora Koller
- Department of Psychiatry, Yale School of Medicine, West Haven, Connecticut
- Veterans Affairs Connecticut Healthcare Center, West Haven
- Department of Genetics, Microbiology, and Statistics, Faculty of Biology, University of Barcelona, Catalonia, Spain
| | - Gita A. Pathak
- Department of Psychiatry, Yale School of Medicine, West Haven, Connecticut
- Veterans Affairs Connecticut Healthcare Center, West Haven
| | - Frank R. Wendt
- Department of Psychiatry, Yale School of Medicine, West Haven, Connecticut
- Veterans Affairs Connecticut Healthcare Center, West Haven
| | - Daniel S. Tylee
- Department of Psychiatry, Yale School of Medicine, West Haven, Connecticut
- Veterans Affairs Connecticut Healthcare Center, West Haven
| | - Daniel F. Levey
- Department of Psychiatry, Yale School of Medicine, West Haven, Connecticut
- Veterans Affairs Connecticut Healthcare Center, West Haven
| | - Cassie Overstreet
- Department of Psychiatry, Yale School of Medicine, West Haven, Connecticut
- Veterans Affairs Connecticut Healthcare Center, West Haven
| | - Joel Gelernter
- Department of Psychiatry, Yale School of Medicine, West Haven, Connecticut
- Veterans Affairs Connecticut Healthcare Center, West Haven
| | - Hugh S. Taylor
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale School of Medicine, New Haven, Connecticut
| | - Renato Polimanti
- Department of Psychiatry, Yale School of Medicine, West Haven, Connecticut
- Veterans Affairs Connecticut Healthcare Center, West Haven
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28
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Wendt FR, Pathak GA, Polimanti R. Phenome-wide association study of loci harboring de novo tandem repeat mutations in UK Biobank exomes. Nat Commun 2022; 13:7682. [PMID: 36509785 PMCID: PMC9744822 DOI: 10.1038/s41467-022-35423-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Accepted: 12/02/2022] [Indexed: 12/15/2022] Open
Abstract
When present in coding regions, tandem repeats (TRs) may have large effects on protein structure and function contributing to health and disease. We use a family-based design to identify de novo TRs and assess their impact at the population level in 148,607 European ancestry participants from the UK Biobank. The 427 loci with de novo TR mutations are enriched for targets of microRNA-184 (21.1-fold, P = 4.30 × 10-5, FDR = 9.50 × 10-3). There are 123 TR-phenotype associations with posterior probabilities > 0.95. These relate to body structure, cognition, and cardiovascular, metabolic, psychiatric, and respiratory outcomes. We report several loci with large likely causal effects on tissue microstructure, including the FAN1-[TG]N and carotid intima-media thickness (mean thickness: beta = 5.22, P = 1.22 × 10-6, FDR = 0.004; maximum thickness: beta = 6.44, P = 1.12 × 10-6, FDR = 0.004). Two exonic repeats FNBP4-[GGT]N and BTN2A1-[CCT]N alter protein structure. In this work, we contribute clear and testable hypotheses of dose-dependent TR implications linking genetic variation and protein structure with health and disease outcomes.
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Affiliation(s)
- Frank R Wendt
- Department of Anthropology, University of Toronto, Mississauga, ON, Canada.
- Biostatistics Division, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
- Forensic Science Program, University of Toronto, Mississauga, ON, Canada.
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
- VA CT Healthcare System, West Haven, CT, USA.
| | - Gita A Pathak
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- VA CT Healthcare System, West Haven, CT, USA
| | - Renato Polimanti
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- VA CT Healthcare System, West Haven, CT, USA
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29
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Verma A, Minnier J, Wan ES, Huffman JE, Gao L, Joseph J, Ho YL, Wu WC, Cho K, Gorman BR, Rajeevan N, Pyarajan S, Garcon H, Meigs JB, Sun YV, Reaven PD, McGeary JE, Suzuki A, Gelernter J, Lynch JA, Petersen JM, Zekavat SM, Natarajan P, Dalal S, Jhala DN, Arjomandi M, Gatsby E, Lynch KE, Bonomo RA, Freiberg M, Pathak GA, Zhou JJ, Donskey CJ, Madduri RK, Wells QS, Huang RDL, Polimanti R, Chang KM, Liao KP, Tsao PS, Wilson PWF, Hung AM, O’Donnell CJ, Gaziano JM, Hauger RL, Iyengar SK, Luoh SW. A MUC5B Gene Polymorphism, rs35705950-T, Confers Protective Effects Against COVID-19 Hospitalization but Not Severe Disease or Mortality. Am J Respir Crit Care Med 2022; 206:1220-1229. [PMID: 35771531 PMCID: PMC9746845 DOI: 10.1164/rccm.202109-2166oc] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [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] [Indexed: 02/03/2023] Open
Abstract
Rationale: A common MUC5B gene polymorphism, rs35705950-T, is associated with idiopathic pulmonary fibrosis (IPF), but its role in severe acute respiratory syndrome coronavirus 2 infection and disease severity is unclear. Objectives: To assess whether rs35705950-T confers differential risk for clinical outcomes associated with coronavirus disease (COVID-19) infection among participants in the Million Veteran Program (MVP). Methods: The MUC5B rs35705950-T allele was directly genotyped among MVP participants; clinical events and comorbidities were extracted from the electronic health records. Associations between the incidence or severity of COVID-19 and rs35705950-T were analyzed within each ancestry group in the MVP followed by transancestry meta-analysis. Replication and joint meta-analysis were conducted using summary statistics from the COVID-19 Host Genetics Initiative (HGI). Sensitivity analyses with adjustment for additional covariates (body mass index, Charlson comorbidity index, smoking, asbestosis, rheumatoid arthritis with interstitial lung disease, and IPF) and associations with post-COVID-19 pneumonia were performed in MVP subjects. Measurements and Main Results: The rs35705950-T allele was associated with fewer COVID-19 hospitalizations in transancestry meta-analyses within the MVP (Ncases = 4,325; Ncontrols = 507,640; OR = 0.89 [0.82-0.97]; P = 6.86 × 10-3) and joint meta-analyses with the HGI (Ncases = 13,320; Ncontrols = 1,508,841; OR, 0.90 [0.86-0.95]; P = 8.99 × 10-5). The rs35705950-T allele was not associated with reduced COVID-19 positivity in transancestry meta-analysis within the MVP (Ncases = 19,168/Ncontrols = 492,854; OR, 0.98 [0.95-1.01]; P = 0.06) but was nominally significant (P < 0.05) in the joint meta-analysis with the HGI (Ncases = 44,820; Ncontrols = 1,775,827; OR, 0.97 [0.95-1.00]; P = 0.03). Associations were not observed with severe outcomes or mortality. Among individuals of European ancestry in the MVP, rs35705950-T was associated with fewer post-COVID-19 pneumonia events (OR, 0.82 [0.72-0.93]; P = 0.001). Conclusions: The MUC5B variant rs35705950-T may confer protection in COVID-19 hospitalizations.
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Affiliation(s)
- Anurag Verma
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania;,Department of Medicine, Perelman School of Medicine, and
| | - Jessica Minnier
- OHSU-PSU School of Public Health and,Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon;,VA Portland Health Care System, Portland, Oregon
| | - Emily S. Wan
- Department of Medicine, Pulmonary, Critical Care, Sleep, and Allergy Section,,Channing Division of Network Medicine and
| | | | - Lina Gao
- Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon;,VA Portland Health Care System, Portland, Oregon
| | - Jacob Joseph
- Department of Medicine,,Medicine, Cardiovascular, Brigham & Women’s Hospital, Boston, Massachusetts
| | | | - Wen-Chih Wu
- Department of Medicine, Cardiology, Providence VA Healthcare System, Providence, Rhode Island;,Alpert Medical School & School of Public Health, Brown University, Providence, Rhode Island
| | - Kelly Cho
- MAVERIC,,Medicine, Aging, Brigham & Women’s Hospital and
| | | | - Nallakkandi Rajeevan
- Yale Center for Medical Informatics,,Clinical Epidemiology Research Center (CERC)
| | - Saiju Pyarajan
- MAVERIC,,Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | | | | | - Yan V. Sun
- Epidemiology, School of Public Health and,Atlanta VA Healthcare System, Decatur, Georgia
| | - Peter D. Reaven
- Department of Medicine, Phoenix VA Healthcare System, Phoenix, Arizona;,College of Medicine, University of Arizona, Phoenix, Arizona
| | - John E. McGeary
- Department of Psychiatry and Human Behavior, Providence VA Medical Center, Providence, Rhode Island;,Department of Psychiatry and Human Behavior, Brown University Medical School, Providence, Rhode Island
| | - Ayako Suzuki
- Department of Medicine, Gastroenterology, Durham VA Medical Center, Durham, North Carolina;,Department of Medicine, Gastroenterology, Duke University, Durham, North Carolina
| | - Joel Gelernter
- Division of Human Genetics, Department of Psychiatry, and,VA Connecticut Healthcare System, West Haven, Connecticut
| | - Julie A. Lynch
- VA Informatics & Computing Infrastructure (VINCI), VA Salt Lake City Healthcare System, Salt Lake City, Utah;,Department of Medicine and
| | - Jeffrey M. Petersen
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania;,Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Seyedeh Maryam Zekavat
- Computational Biology & Bioinformatics, Yale University School of Medicine, New Haven, Connecticut;,Program in Medical and Population Genetics, Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, Massachusetts
| | - Pradeep Natarajan
- Department of Medicine, Harvard Medical School, Boston, Massachusetts;,Cardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts;,Program in Medical and Population Genetics, Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, Massachusetts
| | - Sharvari Dalal
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania;,Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Darshana N. Jhala
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania;,Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Mehrdad Arjomandi
- Medicine, Pulmonary and Critical Care, San Francisco VA Healthcare System, University of California, San Francisco, San Francisco, California
| | - Elise Gatsby
- VA Informatics & Computing Infrastructure (VINCI), VA Salt Lake City Healthcare System, Salt Lake City, Utah
| | - Kristine E. Lynch
- VA Informatics & Computing Infrastructure (VINCI), VA Salt Lake City Healthcare System, Salt Lake City, Utah;,Internal Medicine, Epidemiology, University of Utah School of Medicine, Salt Lake City, Utah
| | | | | | - Gita A. Pathak
- Division of Human Genetics, Department of Psychiatry, and,VA Connecticut Healthcare System, West Haven, Connecticut
| | - Jin J. Zhou
- Department of Medicine, University of California, Los Angeles, Los Angeles, California;,Epidemiology and Biostatistics, University of Arizona, Tucson, Arizona
| | | | - Ravi K. Madduri
- Data Science and Learning, Argonne National Laboratory, Lemont, Illinois
| | - Quinn S. Wells
- Department of Medicine,,Department of Biomedical Informatics, and,Department of Pharmacology, Vanderbilt University Medical Center, Nashville, Tennessee
| | | | - Renato Polimanti
- Division of Human Genetics, Department of Psychiatry, and,VA Connecticut Healthcare System, West Haven, Connecticut
| | - Kyong-Mi Chang
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania
| | | | - Philip S. Tsao
- Precision Medicine, VA Palo Alto Health Care System, Palo Alto, California
| | - Peter W. F. Wilson
- Emory University, Atlanta, Georgia;,Atlanta VA Healthcare System, Decatur, Georgia
| | - Adriana M. Hung
- Department of Veteran’s Affairs, Tennessee Valley Healthcare System, Vanderbilt University Medical Center, Division of Nephrology & Hypertension, Nashville, Tennessee
| | | | | | - Richard L. Hauger
- Center of Excellence for Stress & Mental Health, VA San Diego Healthcare System, San Diego, California; and,Center for Behavioral Genetics of Aging, University of California, San Diego, La Jolla, California
| | - Sudha K. Iyengar
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio;,Louis Stokes Cleveland VA Medical Center, Cleveland, Ohio
| | - Shiuh-Wen Luoh
- Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon;,VA Portland Health Care System, Portland, Oregon
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Koller D, Wendt FR, Pathak GA, De Lillo A, De Angelis F, Cabrera-Mendoza B, Tucci S, Polimanti R. Denisovan and Neanderthal archaic introgression differentially impacted the genetics of complex traits in modern populations. BMC Biol 2022; 20:249. [PMID: 36344982 PMCID: PMC9641937 DOI: 10.1186/s12915-022-01449-2] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 10/24/2022] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND Introgression from extinct Neanderthal and Denisovan human species has been shown to contribute to the genetic pool of modern human populations and their phenotypic spectrum. Evidence of how Neanderthal introgression shaped the genetics of human traits and diseases has been extensively studied in populations of European descent, with signatures of admixture reported for instance in genes associated with pigmentation, immunity, and metabolic traits. However, limited information is currently available about the impact of archaic introgression on other ancestry groups. Additionally, to date, no study has been conducted with respect to the impact of Denisovan introgression on the health and disease of modern populations. Here, we compare the way evolutionary pressures shaped the genetics of complex traits in East Asian and European populations, and provide evidence of the impact of Denisovan introgression on the health of East Asian and Central/South Asian populations. RESULTS Leveraging genome-wide association statistics from the Biobank Japan and UK Biobank, we assessed whether Denisovan and Neanderthal introgression together with other evolutionary genomic signatures were enriched for the heritability of physiological and pathological conditions in populations of East Asian and European descent. In EAS, Denisovan-introgressed loci were enriched for coronary artery disease heritability (1.69-fold enrichment, p=0.003). No enrichment for archaic introgression was observed in EUR. We also performed a phenome-wide association study of Denisovan and Neanderthal alleles in six ancestry groups available in the UK Biobank. In EAS, the Denisovan-introgressed SNP rs62391664 in the major histocompatibility complex region was associated with albumin/globulin ratio (beta=-0.17, p=3.57×10-7). Neanderthal-introgressed alleles were associated with psychiatric and cognitive traits in EAS (e.g., "No Bipolar or Depression"-rs79043717 beta=-1.5, p=1.1×10-7), and with blood biomarkers (e.g., alkaline phosphatase-rs11244089 beta=0.1, p=3.69×10-116) and red hair color (rs60733936 beta=-0.86, p=4.49×10-165) in EUR. In the other ancestry groups, Neanderthal alleles were associated with several traits, also including the use of certain medications (e.g., Central/South East Asia: indapamide - rs732632 beta=-2.38, p=5.22×10-7). CONCLUSIONS Our study provides novel evidence regarding the impact of archaic introgression on the genetics of complex traits in worldwide populations, highlighting the specific contribution of Denisovan introgression in EAS populations.
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Affiliation(s)
- Dora Koller
- Department of Psychiatry, Yale University School of Medicine, West Haven, CT, 06516, USA
- VA CT Healthcare Center, West Haven, CT, 06516, USA
- Department of Genetics, Microbiology and Statistics, Faculty of Biology, University of Barcelona, Barcelona, Catalonia, 08028, Spain
| | - Frank R Wendt
- Department of Psychiatry, Yale University School of Medicine, West Haven, CT, 06516, USA
- VA CT Healthcare Center, West Haven, CT, 06516, USA
| | - Gita A Pathak
- Department of Psychiatry, Yale University School of Medicine, West Haven, CT, 06516, USA
- VA CT Healthcare Center, West Haven, CT, 06516, USA
| | - Antonella De Lillo
- Department of Psychiatry, Yale University School of Medicine, West Haven, CT, 06516, USA
- Department of Biology, University of Rome "Tor Vergata", Rome, 00133, Italy
| | - Flavio De Angelis
- Department of Psychiatry, Yale University School of Medicine, West Haven, CT, 06516, USA
- VA CT Healthcare Center, West Haven, CT, 06516, USA
- Department of Biology, University of Rome "Tor Vergata", Rome, 00133, Italy
| | - Brenda Cabrera-Mendoza
- Department of Psychiatry, Yale University School of Medicine, West Haven, CT, 06516, USA
- VA CT Healthcare Center, West Haven, CT, 06516, USA
| | - Serena Tucci
- Department of Anthropology, Yale University, New Haven, CT, 06511, USA
| | - Renato Polimanti
- Department of Psychiatry, Yale University School of Medicine, West Haven, CT, 06516, USA.
- VA CT Healthcare Center, West Haven, CT, 06516, USA.
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31
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Lynall ME, Soskic B, Hayhurst J, Schwartzentruber J, Levey DF, Pathak GA, Polimanti R, Gelernter J, Stein MB, Trynka G, Clatworthy MR, Bullmore E. Genetic variants associated with psychiatric disorders are enriched at epigenetically active sites in lymphoid cells. Nat Commun 2022; 13:6102. [PMID: 36243721 PMCID: PMC9569335 DOI: 10.1038/s41467-022-33885-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [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: 11/05/2021] [Accepted: 10/06/2022] [Indexed: 02/06/2023] Open
Abstract
Multiple psychiatric disorders have been associated with abnormalities in both the innate and adaptive immune systems. The role of these abnormalities in pathogenesis, and whether they are driven by psychiatric risk variants, remains unclear. We test for enrichment of GWAS variants associated with multiple psychiatric disorders (cross-disorder or trans-diagnostic risk), or 5 specific disorders (cis-diagnostic risk), in regulatory elements in immune cells. We use three independent epigenetic datasets representing multiple organ systems and immune cell subsets. Trans-diagnostic and cis-diagnostic risk variants (for schizophrenia and depression) are enriched at epigenetically active sites in brain tissues and in lymphoid cells, especially stimulated CD4+ T cells. There is no evidence for enrichment of either trans-risk or cis-risk variants for schizophrenia or depression in myeloid cells. This suggests a possible model where environmental stimuli activate T cells to unmask the effects of psychiatric risk variants, contributing to the pathogenesis of mental health disorders.
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Affiliation(s)
- Mary-Ellen Lynall
- Department of Psychiatry, Herchel Smith Building of Brain & Mind Sciences, Cambridge Biomedical Campus, University of Cambridge, Cambridge, CB2 0SZ, UK.
- Cambridgeshire & Peterborough NHS Foundation Trust, Cambridge, UK.
- Molecular Immunity Unit, University of Cambridge Department of Medicine, Cambridge, UK.
- Cellular Genetics, Wellcome Sanger Institute, Cambridge, UK.
| | - Blagoje Soskic
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
- Open Targets, Wellcome Genome Campus, Hinxton, UK
- Human Technopole, Milan, Italy
| | | | | | - Daniel F Levey
- VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Gita A Pathak
- VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Renato Polimanti
- VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Joel Gelernter
- VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Departments of Genetics and Neuroscience, Yale University School of Medicine, New Haven, CT, USA
| | - Murray B Stein
- VA San Diego Healthcare System, San Diego, CA, USA
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Gosia Trynka
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
- Open Targets, Wellcome Genome Campus, Hinxton, UK
| | - Menna R Clatworthy
- Molecular Immunity Unit, University of Cambridge Department of Medicine, Cambridge, UK
- Cellular Genetics, Wellcome Sanger Institute, Cambridge, UK
| | - Ed Bullmore
- Department of Psychiatry, Herchel Smith Building of Brain & Mind Sciences, Cambridge Biomedical Campus, University of Cambridge, Cambridge, CB2 0SZ, UK
- Cambridgeshire & Peterborough NHS Foundation Trust, Cambridge, UK
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Cabrera-Mendoza B, Wendt FR, Pathak GA, De Angelis F, De Lillo A, Koller D, Polimanti R. The association of obesity-related traits on COVID-19 severity and hospitalization is affected by socio-economic status: a multivariable Mendelian randomization study. Int J Epidemiol 2022; 51:1371-1383. [PMID: 35751636 PMCID: PMC9278255 DOI: 10.1093/ije/dyac129] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Revised: 10/18/2021] [Accepted: 05/30/2022] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Due to its large impact on human health, socio-economic status (SES) could at least partially influence the established association between obesity and coronavirus disease 2019 (COVID-19) severity. To estimate the independent effect of body size and SES on the clinical manifestations of COVID-19, we conducted a Mendelian randomization (MR) study. METHODS Applying two-sample MR approaches, we evaluated the effects of body mass index (BMI, n = 322 154), waist circumference (WC, n = 234 069), hip circumference (n = 213 019) and waist-hip ratio (n = 210 088) with respect to three COVID-19 outcomes: severe respiratory COVID-19 (cases = 8779, controls = 1 000 875), hospitalized COVID-19 (cases = 17 992, controls = 1 810 493) and COVID-19 infection (cases = 87 870, controls = 2 210 804). Applying a multivariable MR (MVMR) approach, we estimated the effect of these anthropometric traits on COVID-19 outcomes accounting for the effect of SES assessed as household income (n = 286 301). RESULTS BMI and WC were associated with severe respiratory COVID-19 [BMI: odds ratio (OR) = 1.51, CI = 1.24-1.84, P = 3.01e-05; WC: OR = 1.48, 95% CI = 1.15-1.91, P = 0.0019] and hospitalized COVID-19 (BMI: OR = 1.50, 95% CI = 1.32-1.72, P = 8.83e-10; WC: OR = 1.41, 95% CI = 1.20-1.67, P = 3.72e-05). Conversely, income was associated with lower odds of severe respiratory (OR = 0.70, 95% CI = 0.53-0.93, P = 0.015) and hospitalized COVID-19 (OR = 0.78, 95% CI = 0.66-0.92, P = 0.003). MVMR analyses showed that the effect of these obesity-related traits on increasing the odds of COVID-19 negative outcomes becomes null when accounting for income. Conversely, the association of income with lower odds of COVID-19 negative outcomes is not affected when including the anthropometric traits in the multivariable model. CONCLUSION Our findings indicate that SES contributes to the effect of obesity-related traits on COVID-19 severity and hospitalization.
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Affiliation(s)
- Brenda Cabrera-Mendoza
- Department of Psychiatry, Yale School of Medicine, West Haven, CT, USA
- VA CT Healthcare System, West Haven, CT, USA
| | - Frank R Wendt
- Department of Psychiatry, Yale School of Medicine, West Haven, CT, USA
- VA CT Healthcare System, West Haven, CT, USA
| | - Gita A Pathak
- Department of Psychiatry, Yale School of Medicine, West Haven, CT, USA
- VA CT Healthcare System, West Haven, CT, USA
| | - Flavio De Angelis
- Department of Psychiatry, Yale School of Medicine, West Haven, CT, USA
- VA CT Healthcare System, West Haven, CT, USA
| | | | - Dora Koller
- Department of Psychiatry, Yale School of Medicine, West Haven, CT, USA
- VA CT Healthcare System, West Haven, CT, USA
| | - Renato Polimanti
- Corresponding author. Department of Psychiatry, Yale University School of Medicine, VA CT 116A2, 950 Campbell Avenue, West Haven, CT 06516, USA. E-mail:
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Polimanti R, Wendt FR, Pathak GA, Tylee DS, Tcheandjieu C, Hilliard AT, Levey DF, Adhikari K, Gaziano JM, O'Donnell CJ, Assimes TL, Stein MB, Gelernter J. Understanding the comorbidity between posttraumatic stress severity and coronary artery disease using genome-wide information and electronic health records. Mol Psychiatry 2022; 27:3961-3969. [PMID: 35986173 PMCID: PMC10986859 DOI: 10.1038/s41380-022-01735-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 07/29/2022] [Accepted: 08/05/2022] [Indexed: 02/07/2023]
Abstract
The association between coronary artery disease (CAD) and posttraumatic stress disorder (PTSD) contributes to the high morbidity and mortality observed for these conditions. To understand the dynamics underlying PTSD-CAD comorbidity, we investigated large-scale genome-wide association (GWA) statistics from the Million Veteran Program (MVP), the UK Biobank (UKB), the Psychiatric Genomics Consortium, and the CARDIoGRAMplusC4D Consortium. We observed a genetic correlation of CAD with PTSD case-control and quantitative outcomes, ranging from 0.18 to 0.32. To investigate possible cause-effect relationships underlying these genetic correlations, we performed a two-sample Mendelian randomization (MR) analysis, observing a significant bidirectional relationship between CAD and PTSD symptom severity. Genetically-determined PCL-17 (PTSD 17-item Checklist) total score was associated with increased CAD risk (odds ratio = 1.04; 95% confidence interval, 95% CI = 1.01-1.06). Conversely, CAD genetic liability was associated with reduced PCL-17 total score (beta = -0.42; 95% CI = -0.04 to -0.81). Because of these opposite-direction associations, we conducted a pleiotropic meta-analysis to investigate loci with concordant vs. discordant effects on PCL-17 and CAD, observing that concordant-effect loci were enriched for molecular pathways related to platelet amyloid precursor protein (beta = 1.53, p = 2.97 × 10-7) and astrocyte activation regulation (beta = 1.51, p = 2.48 × 10-6) while discordant-effect loci were enriched for biological processes related to lipid metabolism (e.g., triglyceride-rich lipoprotein particle clearance, beta = 2.32, p = 1.61 × 10-10). To follow up these results, we leveraged MVP and UKB electronic health records (EHR) to assess longitudinal changes in the association between CAD and posttraumatic stress severity. This EHR-based analysis highlighted that earlier CAD diagnosis is associated with increased PCL-total score later in life, while lower PCL total score was associated with increased risk of a later CAD diagnosis (Mann-Kendall trend test: MVP tau = 0.932, p < 2 × 10-16; UKB tau = 0.376, p = 0.005). In conclusion, both our genetically-informed analyses and our EHR-based follow-up investigation highlighted a bidirectional relationship between PTSD and CAD where multiple pleiotropic mechanisms are likely to be involved.
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Affiliation(s)
- Renato Polimanti
- Department of Psychiatry, Yale School of Medicine, West Haven, CT, USA.
- VA CT Healthcare Center, West Haven, CT, USA.
| | - Frank R Wendt
- Department of Psychiatry, Yale School of Medicine, West Haven, CT, USA
- VA CT Healthcare Center, West Haven, CT, USA
| | - Gita A Pathak
- Department of Psychiatry, Yale School of Medicine, West Haven, CT, USA
- VA CT Healthcare Center, West Haven, CT, USA
| | - Daniel S Tylee
- Department of Psychiatry, Yale School of Medicine, West Haven, CT, USA
- VA CT Healthcare Center, West Haven, CT, USA
| | | | - Austin T Hilliard
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- VA Palo Alto Healthcare System, Palo Alto, CA, USA
| | - Daniel F Levey
- Department of Psychiatry, Yale School of Medicine, West Haven, CT, USA
- VA CT Healthcare Center, West Haven, CT, USA
| | - Keyrun Adhikari
- Department of Psychiatry, Yale School of Medicine, West Haven, CT, USA
- VA CT Healthcare Center, West Haven, CT, USA
| | - J Michael Gaziano
- Department of Medicine, VA Boston Healthcare System, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Christopher J O'Donnell
- Department of Medicine, VA Boston Healthcare System, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Themistocles L Assimes
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- VA Palo Alto Healthcare System, Palo Alto, CA, USA
| | - Murray B Stein
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- VA San Diego Healthcare System, Psychiatry Service, San Diego, CA, USA
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Joel Gelernter
- Department of Psychiatry, Yale School of Medicine, West Haven, CT, USA
- VA CT Healthcare Center, West Haven, CT, USA
- Departments of Genetics and of Neuroscience, Yale School of Medicine, New Haven, CT, USA
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Pathak GA, Karjalainen J, Stevens C, Neale BM, Daly M, Ganna A, Andrews SJ, Kanai M, Cordioli M, Polimanti R, Harerimana N, Pirinen M, Liao RG, Chwialkowska K, Trankiem A, Balaconis MK, Nguyen H, Solomonson M, Veerapen K, Wolford B, Roberts G, Park D, Ball CA, Coignet M, McCurdy S, Knight S, Partha R, Rhead B, Zhang M, Berkowitz N, Gaddis M, Noto K, Ruiz L, Pavlovic M, Hong EL, Rand K, Girshick A, Guturu H, Baltzell AH, Niemi MEK, Rahmouni S, Guntz J, Beguin Y, Cordioli M, Pigazzini S, Nkambule L, Georges M, Moutschen M, Misset B, Darcis G, Guiot J, Azarzar S, Gofflot S, Claassen S, Malaise O, Huynen P, Meuris C, Thys M, Jacques J, Léonard P, Frippiat F, Giot JB, Sauvage AS, Frenckell CV, Belhaj Y, Lambermont B, Nakanishi T, Morrison DR, Mooser V, Richards JB, Butler-Laporte G, Forgetta V, Li R, Ghosh B, Laurent L, Belisle A, Henry D, Abdullah T, Adeleye O, Mamlouk N, Kimchi N, Afrasiabi Z, Rezk N, Vulesevic B, Bouab M, Guzman C, Petitjean L, Tselios C, Xue X, Afilalo J, Afilalo M, Oliveira M, Brenner B, Brassard N, Durand M, Schurr E, Lepage P, Ragoussis J, Auld D, Chassé M, Kaufmann DE, Lathrop GM, Adra D, Hayward C, Glessner JT, Shaw DM, Campbell A, Morris M, Hakonarson H, Porteous DJ, Below J, Richmond A, Chang X, Polikowski H, Lauren PE, Chen HH, Wanying Z, Fawns-Ritchie C, North K, McCormick JB, Chang X, Glessner JR, Hakonarson H, Gignoux CR, Wicks SJ, Crooks K, Barnes KC, Daya M, Shortt J, Rafaels N, Chavan S, Timmers PRHJ, Wilson JF, Tenesa A, Kerr SM, D’Mellow K, Shahin D, El-Sherbiny YM, von Hohenstaufen KA, Sobh A, Eltoukhy MM, Nkambul L, Elhadidy TA, Abd Elghafar MS, El-Jawhari JJ, Mohamed AAS, Elnagdy MH, Samir A, Abdel-Aziz M, Khafaga WT, El-Lawaty WM, Torky MS, El-shanshory MR, Yassen AM, Hegazy MAF, Okasha K, Eid MA, Moahmed HS, Medina-Gomez C, Ikram MA, Uitterlinden AG, Mägi R, Milani L, Metspalu A, Laisk T, Läll K, Lepamets M, Esko T, Reimann E, Naaber P, Laane E, Pesukova J, Peterson P, Kisand K, Tabri J, Allos R, Hensen K, Starkopf J, Ringmets I, Tamm A, Kallaste A, Alavere H, Metsalu K, Puusepp M, Batini C, Tobin MD, Venn LD, Lee PH, Shrine N, Williams AT, Guyatt AL, John C, Packer RJ, Ali A, Free RC, Wang X, Wain LV, Hollox EJ, Bee CE, Adams EL, Palotie A, Ripatti S, Ruotsalainen S, Kristiansson K, Koskelainen S, Perola M, Donner K, Kivinen K, Palotie A, Kaunisto M, Rivolta C, Bochud PY, Bibert S, Boillat N, Nussle SG, Albrich W, Quinodoz M, Kamdar D, Suh N, Neofytos D, Erard V, Voide C, Bochud PY, Rivolta C, Bibert S, Quinodoz M, Kamdar D, Neofytos D, Erard V, Voide C, Friolet R, Vollenweider P, Pagani JL, Oddo M, zu Bentrup FM, Conen A, Clerc O, Marchetti O, Guillet A, Guyat-Jacques C, Foucras S, Rime M, Chassot J, Jaquet M, Viollet RM, Lannepoudenx Y, Portopena L, Bochud PY, Vollenweider P, Pagani JL, Desgranges F, Filippidis P, Guéry B, Haefliger D, Kampouri EE, Manuel O, Munting A, Papadimitriou-Olivgeris M, Regina J, Rochat-Stettler L, Suttels V, Tadini E, Tschopp J, Van Singer M, Viala B, Boillat-Blanco N, Brahier T, Hügli O, Meuwly JY, Pantet O, Gonseth Nussle S, Bochud M, D’Acremont V, Estoppey Younes S, Albrich WC, Suh N, Cerny A, O’Mahony L, von Mering C, Bochud PY, Frischknecht M, Kleger GR, Filipovic M, Kahlert CR, Wozniak H, Negro TR, Pugin J, Bouras K, Knapp C, Egger T, Perret A, Montillier P, di Bartolomeo C, Barda B, de Cid R, Carreras A, Moreno V, Kogevinas M, Galván-Femenía I, Blay N, Farré X, Sumoy L, Cortés B, Mercader JM, Guindo-Martinez M, Torrents D, Garcia-Aymerich J, Castaño-Vinyals G, Dobaño C, Gori M, Renieri A, Mari F, Mondelli MU, Castelli F, Vaghi M, Rusconi S, Montagnani F, Bargagli E, Franchi F, Mazzei MA, Cantarini L, Tacconi D, Feri M, Scala R, Spargi G, Nencioni C, Bandini M, Caldarelli GP, Canaccini A, Ognibene A, D’Arminio Monforte A, Girardis M, Antinori A, Francisci D, Schiaroli E, Scotton PG, Panese S, Scaggiante R, Monica MD, Capasso M, Fiorentino G, Castori M, Aucella F, Biagio AD, Masucci L, Valente S, Mandalà M, Zucchi P, Giannattasio F, Coviello DA, Mussini C, Tavecchia L, Crotti L, Rizzi M, Rovere MTL, Sarzi-Braga S, Bussotti M, Ravaglia S, Artuso R, Perrella A, Romani D, Bergomi P, Catena E, Vincenti A, Ferri C, Grassi D, Pessina G, Tumbarello M, Pietro MD, Sabrina R, Luchi S, Furini S, Dei S, Benetti E, Picchiotti N, Sanarico M, Ceri S, Pinoli P, Raimondi F, Biscarini F, Stella A, Zguro K, Capitani K, Nkambule L, Tanfoni M, Fallerini C, Daga S, Baldassarri M, Fava F, Frullanti E, Valentino F, Doddato G, Giliberti A, Tita R, Amitrano S, Bruttini M, Croci S, Meloni I, Mencarelli MA, Rizzo CL, Pinto AM, Beligni G, Tommasi A, Sarno LD, Palmieri M, Carriero ML, Alaverdian D, Busani S, Bruno R, Vecchia M, Belli MA, Mantovani S, Ludovisi S, Quiros-Roldan E, Antoni MD, Zanella I, Siano M, Emiliozzi A, Fabbiani M, Rossetti B, Bergantini L, D’Alessandro M, Cameli P, Bennett D, Anedda F, Marcantonio S, Scolletta S, Guerrini S, Conticini E, Frediani B, Spertilli C, Donati A, Guidelli L, Corridi M, Croci L, Piacentini P, Desanctis E, Cappelli S, Verzuri A, Anemoli V, Pancrazzi A, Lorubbio M, Miraglia FG, Venturelli S, Cossarizza A, Vergori A, Gabrieli A, Riva A, Paciosi F, Andretta F, Gatti F, Parisi SG, Baratti S, Piscopo C, Russo R, Andolfo I, Iolascon A, Carella M, Merla G, Squeo GM, Raggi P, Marciano C, Perna R, Bassetti M, Sanguinetti M, Giorli A, Salerni L, Parravicini P, Menatti E, Trotta T, Coiro G, Lena F, Martinelli E, Mancarella S, Gabbi C, Maggiolo F, Ripamonti D, Bachetti T, Suardi C, Parati G, Bottà G, Domenico PD, Rancan I, Bianchi F, Colombo R, Barbieri C, Acquilini D, Andreucci E, Segala FV, Tiseo G, Falcone M, Lista M, Poscente M, Vivo OD, Petrocelli P, Guarnaccia A, Baroni S, Hayward C, Porteous DJ, Fawns-Ritchie C, Richmond A, Campbell A, van Heel DA, Hunt KA, Trembath RC, Huang QQ, Martin HC, Mason D, Trivedi B, Wright J, Finer S, Akhtar S, Anwar M, Arciero E, Ashraf S, Breen G, Chung R, Curtis CJ, Chowdhury M, Colligan G, Deloukas P, Durham C, Finer S, Griffiths C, Huang QQ, Hurles M, Hunt KA, Hussain S, Islam K, Khan A, Khan A, Lavery C, Lee SH, Lerner R, MacArthur D, MacLaughlin B, Martin H, Mason D, Miah S, Newman B, Safa N, Tahmasebi F, Trembath RC, Trivedi B, van Heel DA, Wright J, Griffiths CJ, Smith AV, Boughton AP, Li KW, LeFaive J, Annis A, Niavarani A, Aliannejad R, Sharififard B, Amirsavadkouhi A, Naderpour Z, Tadi HA, Aleagha AE, Ahmadi S, Moghaddam SBM, Adamsara A, Saeedi M, Abdollahi H, Hosseini A, Chariyavilaskul P, Jantarabenjakul W, Hirankarn N, Chamnanphon M, Suttichet TB, Shotelersuk V, Pongpanich M, Phokaew C, Chetruengchai W, Putchareon O, Torvorapanit P, Puthanakit T, Suchartlikitwong P, Nilaratanakul V, Sodsai P, Brumpton BM, Hveem K, Willer C, Wolford B, Zhou W, Rogne T, Solligard E, Åsvold BO, Franke L, Boezen M, Deelen P, Claringbould A, Lopera E, Warmerdam R, Vonk JM, van Blokland I, Lanting P, Ori APS, Feng YCA, Mercader J, Weiss ST, Karlson EW, Smoller JW, Murphy SN, Meigs JB, Woolley AE, Green RC, Perez EF, Wolford B, Zöllner S, Wang J, Beck A, Sloofman LG, Ascolillo S, Sebra RP, Collins BL, Levy T, Buxbaum JD, Sealfon SC, Jordan DM, Thompson RC, Gettler K, Chaudhary K, Belbin GM, Preuss M, Hoggart C, Choi S, Underwood SJ, Salib I, Britvan B, Keller K, Tang L, Peruggia M, Hiester LL, Niblo K, Aksentijevich A, Labkowsky A, Karp A, Zlatopolsky M, Zyndorf M, Charney AW, Beckmann ND, Schadt EE, Abul-Husn NS, Cho JH, Itan Y, Kenny EE, Loos RJF, Nadkarni GN, Do R, O’Reilly P, Huckins LM, Ferreira MAR, Abecasis GR, Leader JB, Cantor MN, Justice AE, Carey DJ, Chittoor G, Josyula NS, Kosmicki JA, Horowitz JE, Baras A, Gass MC, Yadav A, Mirshahi T, Hottenga JJ, Bartels M, de geus EEJC, Nivard MMG, Verma A, Ritchie MD, Rader D, Li B, Verma SS, Lucas A, Bradford Y, Abedalthagafi M, Alaamery M, Alshareef A, Sawaji M, Massadeh S, AlMalik A, Alqahtani S, Baraka D, Harthi FA, Alsolm E, Safieh LA, Alowayn AM, Alqubaishi F, Mutairi AA, Mangul S, Almutairi M, Aljawini N, Albesher N, Arabi YM, Mahmoud ES, Khattab AK, Halawani RT, Alahmadey ZZ, Albakri JK, Felemban WA, Suliman BA, Hasanato R, Al-Awdah L, Alghamdi J, AlZahrani D, AlJohani S, Al-Afghani H, AlDhawi N, AlBardis H, Alkwai S, Alswailm M, Almalki F, Albeladi M, Almohammed I, Barhoush E, Albader A, Alotaibi S, Alghamdi B, Jung J, fawzy MS, Alrashed M, Zeberg H, Nkambul L, Frithiof R, Hultström M, Lipcsey M, Tardif N, Rooyackers O, Grip J, Maricic T, Helgeland Ø, Magnus P, Trogstad LIS, Lee Y, Harris JR, Mangino M, Spector TD, Emma D, Moutsianas L, Caulfield MJ, Scott RH, Kousathanas A, Pasko D, Walker S, Stuckey A, Odhams CA, Rhodes D, Fowler T, Rendon A, Chan G, Arumugam P, Karczewski KJ, Martin AR, Wilson DJ, Spencer CCA, Crook DW, Wyllie DH, O’Connell AM, Atkinson EG, Kanai M, Tsuo K, Baya N, Turley P, Gupta R, Walters RK, Palmer DS, Sarma G, Solomonson M, Cheng N, Lu W, Churchhouse C, Goldstein JI, King D, Zhou W, Seed C, Daly MJ, Neale BM, Finucane H, Bryant S, Satterstrom FK, Band G, Earle SG, Lin SK, Arning N, Koelling N, Armstrong J, Rudkin JK, Callier S, Bryant S, Cusick C, Soranzo N, Zhao JH, Danesh J, Angelantonio ED, Butterworth AS, Sun YV, Huffman JE, Cho K, O’Donnell CJ, Tsao P, Gaziano JM, Peloso G, Ho YL, Smieszek SP, Polymeropoulos C, Polymeropoulos V, Polymeropoulos MH, Przychodzen BP, Fernandez-Cadenas I, Planas AM, Perez-Tur J, Llucià-Carol L, Cullell N, Muiño E, Cárcel-Márquez J, DeDiego ML, Iglesias LL, Soriano A, Rico V, Agüero D, Bedini JL, Lozano F, Domingo C, Robles V, Ruiz-Jaén F, Márquez L, Gomez J, Coto E, Albaiceta GM, García-Clemente M, Dalmau D, Arranz MJ, Dietl B, Serra-Llovich A, Soler P, Colobrán R, Martín-Nalda A, Martínez AP, Bernardo D, Rojo S, Fiz-López A, Arribas E, de la Cal-Sabater P, Segura T, González-Villa E, Serrano-Heras G, Martí-Fàbregas J, Jiménez-Xarrié E, de Felipe Mimbrera A, Masjuan J, García-Madrona S, Domínguez-Mayoral A, Villalonga JM, Menéndez-Valladares P, Chasman DI, Sesso HD, Manson JE, Buring JE, Ridker PM, Franco G, Davis L, Lee S, Priest J, Sankaran VG, van Heel D, Biesecker L, Kerchberger VE, Baillie JK. A first update on mapping the human genetic architecture of COVID-19. Nature 2022; 608:E1-E10. [PMID: 35922517 PMCID: PMC9352569 DOI: 10.1038/s41586-022-04826-7] [Citation(s) in RCA: 52] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Accepted: 04/29/2022] [Indexed: 01/04/2023]
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Verma A, Huffman JE, Gao L, Minnier J, Wu WC, Cho K, Ho YL, Gorman BR, Pyarajan S, Rajeevan N, Garcon H, Joseph J, McGeary JE, Suzuki A, Reaven PD, Wan ES, Lynch JA, Petersen JM, Meigs JB, Freiberg MS, Gatsby E, Lynch KE, Zekavat SM, Natarajan P, Dalal S, Jhala DN, Arjomandi M, Bonomo RA, Thompson TK, Pathak GA, Zhou JJ, Donskey CJ, Madduri RK, Wells QS, Gelernter J, Huang RDL, Polimanti R, Chang KM, Liao KP, Tsao PS, Sun YV, Wilson PWF, O’Donnell CJ, Hung AM, Gaziano JM, Hauger RL, Iyengar SK, Luoh SW. Association of Kidney Comorbidities and Acute Kidney Failure With Unfavorable Outcomes After COVID-19 in Individuals With the Sickle Cell Trait. JAMA Intern Med 2022; 182:796-804. [PMID: 35759254 PMCID: PMC9237798 DOI: 10.1001/jamainternmed.2022.2141] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Importance Sickle cell trait (SCT), defined as the presence of 1 hemoglobin beta sickle allele (rs334-T) and 1 normal beta allele, is prevalent in millions of people in the US, particularly in individuals of African and Hispanic ancestry. However, the association of SCT with COVID-19 is unclear. Objective To assess the association of SCT with the prepandemic health conditions in participants of the Million Veteran Program (MVP) and to assess the severity and sequelae of COVID-19. Design, Setting, and Participants COVID-19 clinical data include 2729 persons with SCT, of whom 353 had COVID-19, and 129 848 SCT-negative individuals, of whom 13 488 had COVID-19. Associations between SCT and COVID-19 outcomes were examined using firth regression. Analyses were performed by ancestry and adjusted for sex, age, age squared, and ancestral principal components to account for population stratification. Data for the study were collected between March 2020 and February 2021. Exposures The hemoglobin beta S (HbS) allele (rs334-T). Main Outcomes and Measures This study evaluated 4 COVID-19 outcomes derived from the World Health Organization severity scale and phenotypes derived from International Classification of Diseases codes in the electronic health records. Results Of the 132 577 MVP participants with COVID-19 data, mean (SD) age at the index date was 64.8 (13.1) years. Sickle cell trait was present in 7.8% of individuals of African ancestry and associated with a history of chronic kidney disease, diabetic kidney disease, hypertensive kidney disease, pulmonary embolism, and cerebrovascular disease. Among the 4 clinical outcomes of COVID-19, SCT was associated with an increased COVID-19 mortality in individuals of African ancestry (n = 3749; odds ratio, 1.77; 95% CI, 1.13 to 2.77; P = .01). In the 60 days following COVID-19, SCT was associated with an increased incidence of acute kidney failure. A counterfactual mediation framework estimated that on average, 20.7% (95% CI, -3.8% to 56.0%) of the total effect of SCT on COVID-19 fatalities was due to acute kidney failure. Conclusions and Relevance In this genetic association study, SCT was associated with preexisting kidney comorbidities, increased COVID-19 mortality, and kidney morbidity.
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Affiliation(s)
- Anurag Verma
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania
- Perelman School of Medicine, Department of Medicine, University of Pennsylvania, Philadelphia
| | | | - Lina Gao
- Knight Cancer Institute, Biostatistics Shared Resource, Oregon Health & Science University, Portland
- VA Portland Health Care System, Portland, Oregon
| | - Jessica Minnier
- VA Portland Health Care System, Portland, Oregon
- OHSU-PSU School of Public Health, Oregon Health & Science University, Portland
- Knight Cancer Institute, Biostatistics Shared Resource, Oregon Health & Science University, Portland
| | - Wen-Chih Wu
- Department of Medicine, Cardiology, Providence VA Healthcare System, Providence, Rhode Island
- Alpert Medical School & School of Public Health, Brown University, Providence, Rhode Island
| | - Kelly Cho
- MAVERIC, VA Boston Healthcare System, Boston, Massachusetts
- Medicine, Aging, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Yuk-Lam Ho
- MAVERIC, VA Boston Healthcare System, Boston, Massachusetts
| | | | - Saiju Pyarajan
- VA Boston Healthcare System, Boston, Massachusetts
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Nallakkandi Rajeevan
- Yale Center for Medical Informatics, Yale School of Medicine, New Haven, Connecticut
- Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven
| | - Helene Garcon
- MAVERIC, VA Boston Healthcare System, Boston, Massachusetts
| | - Jacob Joseph
- Department of Medicine, VA Boston Healthcare System, Boston, Massachusetts
- Brigham & Women’s Hospital, Boston, Massachusetts
| | - John E. McGeary
- Department of Psychiatry and Human Behavior, Providence VA Medical Center, Providence, Rhode Island
- Brown University Medical School, Providence, Rhode Island
| | - Ayako Suzuki
- Department of Medicine, Gastroenterology, Durham VA Medical Center, Durham, North Carolina
- Department of Medicine, Gastroenterology, Duke University, Durham, North Carolina
| | - Peter D. Reaven
- Department of Medicine, Phoenix VA Healthcare System, Phoenix, Arizona
- University of Arizona, Phoenix
| | - Emily S. Wan
- Department of Medicine, Pulmonary, Critical Care, Sleep, and Allergy Section, VA Boston Healthcare System, Boston, Massachusetts
- Channing Division of Network Medicine, Brigham & Women’s Hospital, Boston, Massachusetts
| | - Julie A. Lynch
- VA Informatics & Computing Infrastructure, VA Salt Lake City Utah & University of Utah, School of Medicine, Salt Lake City
| | - Jeffrey M. Petersen
- Pathology and Laboratory Medicine, Corporal Michael Crescenz VA Medical Center, Philadelphia, Pennsylvania
- Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - James B. Meigs
- Medicine, General Internal Medicine, Massachusetts General Hospital, Boston
| | | | - Elise Gatsby
- VA Informatics and Computing Infrastructure (VINCI), VA Salt Lake City Healthcare System, Salt Lake City, Utah
| | - Kristine E. Lynch
- VA Informatics and Computing Infrastructure (VINCI), VA Salt Lake City Healthcare System, Salt Lake City, Utah
- Internal Medicine, Epidemiology, University of Utah School of Medicine, Salt Lake City
| | - Seyedeh Maryam Zekavat
- Computational Biology & Bioinformatics, Yale School of Medicine, New Haven, Connecticut
- Program in Medical and Population Genetics, Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, Massachusetts
| | - Pradeep Natarajan
- Program in Medical and Population Genetics, Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, Massachusetts
- Cardiovascular Research Center, Massachusetts General Hospital, Boston
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
- Clinical Data Science Research Group, ORD, Portland VA Medical Center, Portland, Oregon
| | - Sharvari Dalal
- Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Pathology and Laboratory Medicine, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania
| | - Darshana N. Jhala
- Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Pathology and Laboratory Medicine, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania
| | - Mehrdad Arjomandi
- Medicine, Pulmonary and Critical Care, San Francisco VA Healthcare System, San Francisco, California
- University of California San Francisco
| | - Robert A. Bonomo
- Cleveland VA Medical Center, Cleveland, Ohio
- Medicine, Case Western Reserve University School of Medicine, Cleveland, Ohio
| | | | - Gita A. Pathak
- Department of Psychiatry, Division of Human Genetics, Yale School of Medicine, New Haven, Connecticut
- VA Connecticut Healthcare System, West Haven
| | - Jin J. Zhou
- Medicine, University of California, Los Angeles
- Epidemiology and Biostatistics, University of Arizona, Phoenix
| | - Curtis J. Donskey
- Infectious Disease Section, Louis Stokes Cleveland VA, Cleveland, Ohio
- Case Western Reserve University, Cleveland, Ohio
| | - Ravi K. Madduri
- Data Science and Learning, Argonne National Laboratory, Lemont, Illinois
| | - Quinn S. Wells
- Departments of Medicine, Biomedical Informatics, and Pharmacology, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Joel Gelernter
- VA Connecticut Healthcare System, West Haven
- Psychiatry, Human Genetics, Yale University School of Medicine, West Haven, Connecticut
| | | | - Renato Polimanti
- Departments of Medicine, Biomedical Informatics, and Pharmacology, Vanderbilt University Medical Center, Nashville, Tennessee
- Psychiatry, Human Genetics, Yale University School of Medicine, West Haven, Connecticut
| | - Kyong-Mi Chang
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania
- Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Katherine P. Liao
- Medicine, Rheumatology, VA Boston Healthcare System, Boston, Massachusetts
- Division of Rheumatology, Inflammation, and Immunity, Brigham and Women’s Hospital, Boston, Massachusetts
- Department of Medicine & Biomedical Informatics, Harvard Medical School, Boston, Massachusetts
| | - Philip S. Tsao
- Precision Medicine, VA Palo Alto Health Care System, Palo Alto, California
| | - Yan V. Sun
- Epidemiology, Emory University School of Public Health, Atlanta, Georgia
- Atlanta VA Health Care System, Decatur, Georgia
| | - Peter W. F. Wilson
- Atlanta VA Health Care System, Decatur, Georgia
- Emory University School of Medicine, Atlanta, Georgia
| | | | - Adriana M. Hung
- Vanderbilt University Medical Center, Nashville, Tennessee
- Nashville VA Medical Center, Nashville, Tennessee
| | - J. Michael Gaziano
- VA Boston Health Care System, Boston, Massachusetts
- Medicine, Harvard Medical School, Boston, Massachusetts
| | - Richard L. Hauger
- Center of Excellence for Stress & Mental Health, VA San Diego Healthcare System, San Diego, California
- Center for Behavioral Genetics of Aging, University of California, San Diego, La Jolla
| | - Sudha K. Iyengar
- Departments of Population and Quantitative Health Sciences, Ophthalmology and Visual Sciences and Genetics and Genome Sciences, Case Western Reserve University, Cleveland, Ohio
- Louis Stokes Cleveland VA Medical Center, Cleveland, Ohio
| | - Shiuh-Wen Luoh
- VA Portland Health Care System, Portland, Oregon
- Division of Hematology and Medical Oncology, Knight Cancer Institute, Oregon Health and Science University, Portland
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Tylee DS, Lee YK, Wendt FR, Pathak GA, Levey DF, De Angelis F, Gelernter J, Polimanti R. An Atlas of Genetic Correlations and Genetically Informed Associations Linking Psychiatric and Immune-Related Phenotypes. JAMA Psychiatry 2022; 79:667-676. [PMID: 35507366 PMCID: PMC9069342 DOI: 10.1001/jamapsychiatry.2022.0914] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Importance Certain psychiatric and immune-related disorders are reciprocal risk factors. However, the nature of these associations is unclear. Objective To characterize the pleiotropy between psychiatric and immune-related traits, as well as risk factors of hypothesized relevance. Design, Setting, and Participants This genetic association study was conducted from July 10, 2020, to January 15, 2022. Analyses used genome-wide association (GWA) statistics related to 14 psychiatric traits; 13 immune-related phenotypes, ie, allergic, autoimmune, and inflammatory disorders; and 15 risk factors related to health-related behaviors, social determinants of health, and stress response. Genetically correlated psychiatric-immune pairs were assessed using 2-sample mendelian randomization (MR) with sensitivity analyses and multivariable adjustment for genetic associations of third variables. False discovery rate correction (Q value < .05) was applied for each analysis. Exposures Genetic associations. Main Outcomes and Measures Genetic correlations and MR association estimates with SEs and P values. A data-driven approach was used that did not test a priori planned hypotheses. Results A total of 44 genetically correlated psychiatric-immune pairs were identified, including 31 positive correlations (most consistently involving asthma, Crohn disease, hypothyroidism, and ulcerative colitis) and 13 negative correlations (most consistently involving allergic rhinitis and type 1 diabetes). Correlations with third variables were especially strong for psychiatric phenotypes. MR identified 7 associations of psychiatric phenotypes on immune-related phenotypes that were robust to multivariable adjustment, including the positive association of (1) the psychiatric cross-disorder phenotype with asthma (odds ratio [OR], 1.04; 95% CI, 1.02-1.06), Crohn disease (OR, 1.09; 95% CI, 1.05-1.14), and ulcerative colitis (OR, 1.09; 95% CI, 1.05-1.14); (2) major depression with asthma (OR, 1.25; 95% CI, 1.13-1.37); (3) schizophrenia with Crohn disease (OR, 1.12; 95% CI, 1.05-1.18) and ulcerative colitis (OR, 1.14; 95% CI, 1.07-1.21); and a negative association of risk tolerance with allergic rhinitis (OR, 0.77; 95% CI, 0.67-0.92). Conclusions and Relevance Results of this genetic association study suggest that genetic liability for psychiatric disorders was associated with liability for several immune disorders, suggesting that vertical pleiotropy related to behavioral traits (or correlated third variables) contributes to clinical associations observed in population-scale data.
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Affiliation(s)
- Daniel S. Tylee
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
- Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut
| | - Yu Kyung Lee
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Frank R. Wendt
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
- Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut
| | - Gita A. Pathak
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
- Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut
| | - Daniel F. Levey
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
- Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut
| | - Flavio De Angelis
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
- Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut
| | - Joel Gelernter
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
- Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut
- Departments of Genetics and of Neuroscience, Yale University School of Medicine, New Haven, Connecticut
| | - Renato Polimanti
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
- Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut
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Pathak GA, De Lillo A, Wendt FR, De Angelis F, Koller D, Mendoza BC, Jacoby D, Miller EJ, Buxbaum JN, Polimanti R. The integration of genetically-regulated transcriptomics and electronic health records highlights a pattern of medical outcomes related to increased hepatic transthyretin expression. Amyloid 2022; 29:110-119. [PMID: 34935565 PMCID: PMC9213571 DOI: 10.1080/13506129.2021.2018678] [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: 10/19/2022]
Abstract
Transthyretin (TTR) is the precursor of the fibrils that compromise organ function in hereditary and sporadic systemic amyloidoses (ATTR). RNA-interference and anti-sense therapeutics targeting TTR hepatic transcription have been shown to reduce TTR amyloid formation. In the present study, we leveraged genetic and phenotypic information from the UK Biobank and transcriptomic profiles from the Genotype-Tissue Expression project to test the association of genetically regulated TTR gene expression with 7149 traits assessed in 420,531 individuals. We conducted a multi-tissue analysis of TTR transcription and identified an association with a operational procedure related to bone fracture (p = 5.46×10-6). Using tissue-specific TTR expression information, we demonstrated that the association is driven by the genetic regulation of TTR hepatic expression (odds ratio [OR] = 3.46, p = 9.51×10-5). Using the UK Biobank electronic health records (EHRs), we investigated the comorbidities affecting individuals undergoing this surgical procedure. Excluding bone fracture EHRs, we identified a pattern of health outcomes previously associated with ATTR manifestations. These included osteoarthritis (OR = 3.18, p = 9.18×10-8), carpal tunnel syndrome (OR = 2.15, p = .002), and a history of gastrointestinal diseases (OR = 2.01, p = 8.07×10-4). In conclusion, our study supports that TTR hepatic expression can affect health outcomes linked to physiological and pathological processes presumably related to the encoded protein.
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Affiliation(s)
- Gita A. Pathak
- Department of Psychiatry, Yale School of Medicine, West Haven, CT 06516, USA
- VA CT Healthcare Center, West Haven, CT 06516, USA
| | - Antonella De Lillo
- Department of Psychiatry, Yale School of Medicine, West Haven, CT 06516, USA
- Department of Biology, University of Rome Tor Vergata, Rome 00133, Italy
| | - Frank R. Wendt
- Department of Psychiatry, Yale School of Medicine, West Haven, CT 06516, USA
- VA CT Healthcare Center, West Haven, CT 06516, USA
| | - Flavio De Angelis
- Department of Psychiatry, Yale School of Medicine, West Haven, CT 06516, USA
- VA CT Healthcare Center, West Haven, CT 06516, USA
- Department of Biology, University of Rome Tor Vergata, Rome 00133, Italy
| | - Dora Koller
- Department of Psychiatry, Yale School of Medicine, West Haven, CT 06516, USA
- VA CT Healthcare Center, West Haven, CT 06516, USA
| | - Brenda Cabrera Mendoza
- Department of Psychiatry, Yale School of Medicine, West Haven, CT 06516, USA
- VA CT Healthcare Center, West Haven, CT 06516, USA
| | - Daniel Jacoby
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT 06510, USA
| | - Edward J. Miller
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT 06510, USA
| | | | - Renato Polimanti
- Department of Psychiatry, Yale School of Medicine, West Haven, CT 06516, USA
- VA CT Healthcare Center, West Haven, CT 06516, USA
- Corresponding author: Renato Polimanti, Ph.D., Yale University School of Medicine, Department of Psychiatry. VA CT 116A2, 950 Campbell Avenue, West Haven, CT 06516, USA. Phone: +1 (203) 932-5711 x5745. Fax: +1 (203) 937-3897.
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38
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Verma A, Tsao NL, Thomann LO, Ho YL, Iyengar SK, Luoh SW, Carr R, Crawford DC, Efird JT, Huffman JE, Hung A, Ivey KL, Levin MG, Lynch J, Natarajan P, Pyarajan S, Bick AG, Costa L, Genovese G, Hauger R, Madduri R, Pathak GA, Polimanti R, Voight B, Vujkovic M, Zekavat SM, Zhao H, Ritchie MD, Chang KM, Cho K, Casas JP, Tsao PS, Gaziano JM, O’Donnell C, Damrauer SM, Liao KP. A Phenome-Wide Association Study of genes associated with COVID-19 severity reveals shared genetics with complex diseases in the Million Veteran Program. PLoS Genet 2022; 18:e1010113. [PMID: 35482673 PMCID: PMC9049369 DOI: 10.1371/journal.pgen.1010113] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [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: 10/07/2021] [Accepted: 02/20/2022] [Indexed: 12/14/2022] Open
Abstract
The study aims to determine the shared genetic architecture between COVID-19 severity with existing medical conditions using electronic health record (EHR) data. We conducted a Phenome-Wide Association Study (PheWAS) of genetic variants associated with critical illness (n = 35) or hospitalization (n = 42) due to severe COVID-19 using genome-wide association summary data from the Host Genetics Initiative. PheWAS analysis was performed using genotype-phenotype data from the Veterans Affairs Million Veteran Program (MVP). Phenotypes were defined by International Classification of Diseases (ICD) codes mapped to clinically relevant groups using published PheWAS methods. Among 658,582 Veterans, variants associated with severe COVID-19 were tested for association across 1,559 phenotypes. Variants at the ABO locus (rs495828, rs505922) associated with the largest number of phenotypes (nrs495828 = 53 and nrs505922 = 59); strongest association with venous embolism, odds ratio (ORrs495828 1.33 (p = 1.32 x 10-199), and thrombosis ORrs505922 1.33, p = 2.2 x10-265. Among 67 respiratory conditions tested, 11 had significant associations including MUC5B locus (rs35705950) with increased risk of idiopathic fibrosing alveolitis OR 2.83, p = 4.12 × 10-191; CRHR1 (rs61667602) associated with reduced risk of pulmonary fibrosis, OR 0.84, p = 2.26× 10-12. The TYK2 locus (rs11085727) associated with reduced risk for autoimmune conditions, e.g., psoriasis OR 0.88, p = 6.48 x10-23, lupus OR 0.84, p = 3.97 x 10-06. PheWAS stratified by ancestry demonstrated differences in genotype-phenotype associations. LMNA (rs581342) associated with neutropenia OR 1.29 p = 4.1 x 10-13 among Veterans of African and Hispanic ancestry but not European. Overall, we observed a shared genetic architecture between COVID-19 severity and conditions related to underlying risk factors for severe and poor COVID-19 outcomes. Differing associations between genotype-phenotype across ancestries may inform heterogenous outcomes observed with COVID-19. Divergent associations between risk for severe COVID-19 with autoimmune inflammatory conditions both respiratory and non-respiratory highlights the shared pathways and fine balance of immune host response and autoimmunity and caution required when considering treatment targets.
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Affiliation(s)
- Anurag Verma
- Corporal Michael Crescenz VA Medical Center, Philadelphia, Pennsylvania, United States of America
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Noah L. Tsao
- Corporal Michael Crescenz VA Medical Center, Philadelphia, Pennsylvania, United States of America
- Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Lauren O. Thomann
- VA Boston Healthcare System, Boston, Massachusetts, United States of America
| | - Yuk-Lam Ho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, United States of America
| | - Sudha K. Iyengar
- Louis Stokes Cleveland VA Medical Center, Cleveland, Ohio, United States of America
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - Shiuh-Wen Luoh
- VA Portland Health Care System, Portland, Oregon, United States of America
- Division of Hematology and Medical Oncology, Knight Cancer Institute, Oregon Health and Science University, Portland, Oregon, United States of America
| | - Rotonya Carr
- Corporal Michael Crescenz VA Medical Center, Philadelphia, Pennsylvania, United States of America
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- University of Washington, Division of Gastroenterology, Seattle, Washington, United States of America
| | - Dana C. Crawford
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, United States of America
- Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, Ohio, United States of America
- Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - Jimmy T. Efird
- Cooperative Studies Program Epidemiology Center, Health Services Research and Development, DVAHCS (Duke University Affiliate), Durham, North Carolina, United States of America
| | - Jennifer E. Huffman
- VA Boston Healthcare System, Boston, Massachusetts, United States of America
| | - Adriana Hung
- Tennessee Valley Healthcare System (Nashville VA) & Vanderbilt University, Nashville, Tennessee, United States of America
| | - Kerry L. Ivey
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, United States of America
- South Australian Health and Medical Research Institute, Infection and Immunity Theme, Adelaide, South Australia, Australia
- Harvard T.H. Chan School of Public Health, Department of Nutrition, Cambridge, Massachusetts, United States of America
| | - Michael G. Levin
- Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Julie Lynch
- VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, Utah, United States of America
| | - Pradeep Natarajan
- VA Boston Healthcare System, Boston, Massachusetts, United States of America
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard & MIT, Cambridge, Massachusetts, United States of America
| | - Saiju Pyarajan
- VA Boston Healthcare System, Boston, Massachusetts, United States of America
- Harvard Medical School, Boston, Massachusetts, United States of America
| | - Alexander G. Bick
- VA Boston Healthcare System, Boston, Massachusetts, United States of America
- Department of Medicine, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Lauren Costa
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, United States of America
| | - Giulio Genovese
- Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard & MIT, Cambridge, Massachusetts, United States of America
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
- Department of Genetics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Richard Hauger
- Department of Psychiatry, University of California, San Diego, La Jolla, California; Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, San Diego, California, United States of America
| | - Ravi Madduri
- University of Chicago Consortium for Advanced Science and Engineering, The University of Chicago, Chicago, Illinois, United States of America
- Data Science and Learning Division, Argonne National Laboratory, Lemont, Illinois, United States of America
| | - Gita A. Pathak
- VA Connecticut Healthcare System, West Haven, Connecticut, United States of America
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut, United States of America
| | - Renato Polimanti
- VA Connecticut Healthcare System, West Haven, Connecticut, United States of America
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut, United States of America
| | - Benjamin Voight
- Corporal Michael Crescenz VA Medical Center, Philadelphia, Pennsylvania, United States of America
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Marijana Vujkovic
- Corporal Michael Crescenz VA Medical Center, Philadelphia, Pennsylvania, United States of America
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Seyedeh Maryam Zekavat
- VA Boston Healthcare System, Boston, Massachusetts, United States of America
- Broad Institute of MIT & Harvard, Cambridge, Massachusetts, United States of America
- Yale School of Medicine New Haven, New Haven, Connecticut, United States of America
| | - Hongyu Zhao
- VA Connecticut Healthcare System, West Haven, Connecticut, United States of America
- Yale School of Medicine New Haven, New Haven, Connecticut, United States of America
- Computational Biology and Bioinformatics Program, Yale University, New Haven, Connecticut, United States of America
- Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut, United States of America
| | - Marylyn D. Ritchie
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | | | - Kyong-Mi Chang
- Corporal Michael Crescenz VA Medical Center, Philadelphia, Pennsylvania, United States of America
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Kelly Cho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, United States of America
| | - Juan P. Casas
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, United States of America
- Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
| | - Philip S. Tsao
- VA Palo Alto Health Care System, Palo Alto, California, United States of America
- Department of Medicine (Cardiovascular Medicine), Stanford University School of Medicine, Stanford, California, United States of America
| | - J. Michael Gaziano
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, United States of America
- Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
| | - Christopher O’Donnell
- VA Boston Healthcare System, Boston, Massachusetts, United States of America
- Harvard Medical School, Boston, Massachusetts, United States of America
- Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
| | - Scott M. Damrauer
- Corporal Michael Crescenz VA Medical Center, Philadelphia, Pennsylvania, United States of America
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Katherine P. Liao
- VA Boston Healthcare System, Boston, Massachusetts, United States of America
- Harvard Medical School, Boston, Massachusetts, United States of America
- Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
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39
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Wendt FR, Pathak GA, Deak JD, De Angelis F, Koller D, Cabrera-Mendoza B, Lebovitch DS, Levey DF, Stein MB, Kranzler HR, Koenen KC, Gelernter J, Huckins LM, Polimanti R. Using phenotype risk scores to enhance gene discovery for generalized anxiety disorder and posttraumatic stress disorder. Mol Psychiatry 2022; 27:2206-2215. [PMID: 35181757 PMCID: PMC9133008 DOI: 10.1038/s41380-022-01469-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 01/18/2022] [Accepted: 02/02/2022] [Indexed: 11/09/2022]
Abstract
UK Biobank (UKB) is a key contributor in mental health genome-wide association studies (GWAS) but only ~31% of participants completed the Mental Health Questionnaire ("MHQ responders"). We predicted generalized anxiety disorder (GAD), posttraumatic stress disorder (PTSD), and major depression symptoms using elastic net regression in the ~69% of UKB participants lacking MHQ data ("MHQ non-responders"; NTraining = 50%; NTest = 50%), maximizing the informative sample for these traits. MHQ responders were more likely to be female, from higher socioeconomic positions, and less anxious than non-responders. Genetic correlation of GAD and PTSD between MHQ responders and non-responders ranged from 0.636 to 1.08; both were predicted by polygenic scores generated from independent cohorts. In meta-analyses of GAD (N = 489,579) and PTSD (N = 497,803), we discovered many novel genomic risk loci (13 for GAD and 40 for PTSD). Transcriptomic analyses converged on altered regulation of prenatal dorsolateral prefrontal cortex in these disorders. Our results provide one roadmap by which sample size and statistical power may be improved for gene discovery of incompletely ascertained traits in the UKB and other biobanks with limited mental health assessment.
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Affiliation(s)
- Frank R Wendt
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA. .,VA CT Healthcare System, West Haven, CT, USA.
| | - Gita A Pathak
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA,VA CT Healthcare System, West Haven, CT, USA
| | - Joseph D Deak
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA,VA CT Healthcare System, West Haven, CT, USA
| | - Flavio De Angelis
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA,VA CT Healthcare System, West Haven, CT, USA
| | - Dora Koller
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA,VA CT Healthcare System, West Haven, CT, USA
| | - Brenda Cabrera-Mendoza
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA,VA CT Healthcare System, West Haven, CT, USA
| | - Dannielle S Lebovitch
- Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA,Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA,Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Daniel F Levey
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA,VA CT Healthcare System, West Haven, CT, USA
| | - Murray B Stein
- VA San Diego Healthcare System, Psychiatry Service, San Diego, CA, USA,Department of Psychiatry, University of California San Diego, La Jolla, CA, USA,Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Henry R Kranzler
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA,Mental Illness Research, Education, and Clinical Center, Crescenz Veterans Affairs Medical Center, Philadelphia, PA, 19104, USA
| | - Karestan C Koenen
- Broad Institute of MIT and Harvard, Stanley Center for Psychiatry Research, Cambridge, MA, USA,Massachusettes General Hospital, Psychiatry and Neurodevelopmental Genetics Unit (PNGU), Boston, MA, USA,Harvard School of Public Health, Department of Epidemiology, Boston, MA, USA
| | - Joel Gelernter
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA,VA CT Healthcare System, West Haven, CT, USA,Department of Genetics, Yale School of Medicine, New Haven, CT, USA,Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA
| | - Laura M Huckins
- Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA,Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA,Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA,Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA,Mental Illness Research, Education and Clinical Center, James J. Peters Department of Veterans Affairs Medical Center, Bronx, NY 10468, USA
| | - Renato Polimanti
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA. .,VA CT Healthcare System, West Haven, CT, USA.
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Tamman AJF, Wendt FR, Pathak GA, Krystal JH, Southwick SM, Sippel LM, Gelernter J, Polimanti R, Pietrzak RH. Attachment Style Moderates Polygenic Risk for Incident Posttraumatic Stress in U.S. Military Veterans: A 7-Year, Nationally Representative, Prospective Cohort Study. Biol Psychiatry 2022; 91:637-646. [PMID: 34955171 DOI: 10.1016/j.biopsych.2021.09.025] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [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: 07/07/2021] [Revised: 09/11/2021] [Accepted: 09/26/2021] [Indexed: 11/02/2022]
Abstract
BACKGROUND Posttraumatic stress disorder (PTSD) develops consequent to complex gene-by-environment interactions beyond the precipitating trauma. To date, however, no known study has used a prospective design to examine how polygenic risk scores (PRSs) interact with social-environmental factors such as attachment style to predict PTSD development. METHODS PRSs were derived from a genome-wide association study of PTSD symptoms (N = 186,689; Million Veteran Program cohort). We evaluated combined effects of PRS and attachment style in predicting incident PTSD in a 7-year, nationally representative cohort of trauma-exposed, European-American U.S. military veterans without PTSD (N = 1083). We also conducted multivariate gene-by-environment interaction and drug repositioning analyses to identify loci that interact with multiple environmental factors and potential pharmacotherapies that may be repurposed for this disorder. RESULTS Veterans with higher PTSD PRS were more likely to have an incident-positive screen for PTSD over 7 years. A gene-by-environment interaction was also observed, such that higher PRS only predicted incident PTSD in veterans with an insecure attachment style and not those with a secure attachment style. At an individual locus level, the strongest gene-by-environment interaction was observed for the rs4702 variant of the FURIN gene with cumulative lifetime trauma burden. Drug repositioning revealed that genes implicated in PRS are perturbated by the drug doxylamine. CONCLUSIONS Attachment style moderates polygenic risk for the development of PTSD in European-American veterans. These findings may inform PTSD prevention and treatment for veterans with high polygenic risk for PTSD and suggest a potential pharmacotherapeutic target for risk genes moderated by social-environmental factors.
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Affiliation(s)
- Amanda J F Tamman
- Department of Psychology, St John's University, Queens, New York; Mood and Anxiety Disorders Program, Baylor College of Medicine, Houston, Texas.
| | - Frank R Wendt
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut; VA Connecticut Healthcare System, West Haven, Connecticut
| | - Gita A Pathak
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut; VA Connecticut Healthcare System, West Haven, Connecticut
| | - John H Krystal
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut; Clinical Neurosciences Division, National Center for PTSD, West Haven, Connecticut
| | - Steven M Southwick
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
| | - Lauren M Sippel
- Executive Division, National Center for PTSD, White River Junction, Vermont; Department of Psychiatry, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire
| | - Joel Gelernter
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut; VA Connecticut Healthcare System, West Haven, Connecticut
| | - Renato Polimanti
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut; VA Connecticut Healthcare System, West Haven, Connecticut
| | - Robert H Pietrzak
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut; Department of Social and Behavioral Sciences, Yale School of Public Health, New Haven, Connecticut; Clinical Neurosciences Division, National Center for PTSD, West Haven, Connecticut
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Pathak GA, Singh K, Wendt FR, Fleming TW, Overstreet C, Koller D, Tylee DS, De Angelis F, Cabrera Mendoza B, Levey DF, Koenen KC, Krystal JH, Pietrzak RH, O' Donell C, Gaziano JM, Falcone G, Stein MB, Gelernter J, Pasaniuc B, Mancuso N, Davis LK, Polimanti R. Genetically regulated multi-omics study for symptom clusters of posttraumatic stress disorder highlights pleiotropy with hematologic and cardio-metabolic traits. Mol Psychiatry 2022; 27:1394-1404. [PMID: 35241783 PMCID: PMC9210390 DOI: 10.1038/s41380-022-01488-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [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: 10/28/2021] [Revised: 02/03/2022] [Accepted: 02/14/2022] [Indexed: 12/15/2022]
Abstract
Posttraumatic stress disorder (PTSD) is a psychiatric disorder that may arise in response to severe traumatic event and is diagnosed based on three main symptom clusters (reexperiencing, avoidance, and hyperarousal) per the Diagnostic Manual of Mental Disorders (version DSM-IV-TR). In this study, we characterized the biological heterogeneity of PTSD symptom clusters by performing a multi-omics investigation integrating genetically regulated gene, splicing, and protein expression in dorsolateral prefrontal cortex tissue within a sample of US veterans enrolled in the Million Veteran Program (N total = 186,689). We identified 30 genes in 19 regions across the three PTSD symptom clusters. We found nine genes to have cell-type specific expression, and over-representation of miRNA-families - miR-148, 30, and 8. Gene-drug target prioritization approach highlighted cyclooxygenase and acetylcholine compounds. Next, we tested molecular-profile based phenome-wide impact of identified genes with respect to 1678 phenotypes derived from the Electronic Health Records of the Vanderbilt University biorepository (N = 70,439). Lastly, we tested for local genetic correlation across PTSD symptom clusters which highlighted metabolic (e.g., obesity, diabetes, vascular health) and laboratory traits (e.g., neutrophil, eosinophil, tau protein, creatinine kinase). Overall, this study finds comprehensive genomic evidence including clinical and regulatory profiles between PTSD, hematologic and cardiometabolic traits, that support comorbidities observed in epidemiologic studies of PTSD.
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Affiliation(s)
- Gita A Pathak
- Department of Psychiatry, Yale School of Medicine, West Haven, CT, 06516, USA
- VA CT Healthcare Center, West Haven, CT, 06516, USA
| | - Kritika Singh
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Frank R Wendt
- Department of Psychiatry, Yale School of Medicine, West Haven, CT, 06516, USA
- VA CT Healthcare Center, West Haven, CT, 06516, USA
| | - Tyne W Fleming
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Cassie Overstreet
- Department of Psychiatry, Yale School of Medicine, West Haven, CT, 06516, USA
- VA CT Healthcare Center, West Haven, CT, 06516, USA
| | - Dora Koller
- Department of Psychiatry, Yale School of Medicine, West Haven, CT, 06516, USA
- VA CT Healthcare Center, West Haven, CT, 06516, USA
| | - Daniel S Tylee
- Department of Psychiatry, Yale School of Medicine, West Haven, CT, 06516, USA
- VA CT Healthcare Center, West Haven, CT, 06516, USA
| | - Flavio De Angelis
- Department of Psychiatry, Yale School of Medicine, West Haven, CT, 06516, USA
- VA CT Healthcare Center, West Haven, CT, 06516, USA
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Brenda Cabrera Mendoza
- Department of Psychiatry, Yale School of Medicine, West Haven, CT, 06516, USA
- VA CT Healthcare Center, West Haven, CT, 06516, USA
| | - Daniel F Levey
- Department of Psychiatry, Yale School of Medicine, West Haven, CT, 06516, USA
- VA CT Healthcare Center, West Haven, CT, 06516, USA
| | - Karestan C Koenen
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
| | - John H Krystal
- Department of Psychiatry, Yale School of Medicine, West Haven, CT, 06516, USA
- VA CT Healthcare Center, West Haven, CT, 06516, USA
- Clinical Neurosciences Division, U.S. Department of Veterans Affairs National Center for PTSD, VA Connecticut Healthcare System, New Haven, CT, USA
| | - Robert H Pietrzak
- Department of Psychiatry, Yale School of Medicine, West Haven, CT, 06516, USA
- Clinical Neurosciences Division, U.S. Department of Veterans Affairs National Center for PTSD, VA Connecticut Healthcare System, New Haven, CT, USA
| | - Christopher O' Donell
- Cardiology Section, Department of Medicine, VA Boston Healthcare System, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - J Michael Gaziano
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
| | - Guido Falcone
- Division of Neurocritical Care and Emergency Neurology, Department of Neurology, Yale School of Medicine, 15 York Street, LLCI 1004D, Box 208018, New Haven, CT, 06520, USA
| | - Murray B Stein
- VA San Diego Healthcare System, Psychiatry Service, San Diego, CA, USA
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Joel Gelernter
- Department of Psychiatry, Yale School of Medicine, West Haven, CT, 06516, USA
- VA CT Healthcare Center, West Haven, CT, 06516, USA
| | - Bogdan Pasaniuc
- Departments of Computational Medicine, Human Genetics, Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Nicholas Mancuso
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Lea K Davis
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Renato Polimanti
- Department of Psychiatry, Yale School of Medicine, West Haven, CT, 06516, USA.
- VA CT Healthcare Center, West Haven, CT, 06516, USA.
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Wendt FR, Warrier V, Pathak GA, Koenen KC, Stein MB, Krystal JH, Pietrzak RH, Gelernter J, Goldfarb EV, Baron-Cohen S, Polimanti R. Polygenic scores for empathy associate with posttraumatic stress severity in response to certain traumatic events. Neurobiol Stress 2022; 17:100439. [PMID: 35242894 PMCID: PMC8881478 DOI: 10.1016/j.ynstr.2022.100439] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 01/27/2022] [Accepted: 02/18/2022] [Indexed: 12/12/2022] Open
Abstract
Background Posttraumatic stress disorder (PTSD) is triggered by environmental stressors. Empathy may predispose an individual to respond to life events differently if high empathizers are emotionally more sensitive to trauma. For the first time, we test this hypothesis using genetic information. Methods We applied polygenic scoring (PGS) to investigate the shared genetics linking empathy (measured using the Empathy Quotient (EQ), a self-report measure of empathy; N = 46,861) and PTSD symptom severity (measured using the 6-item PTSD Checklist 6-item (PCL-6)) in the UK Biobank (N = 126,219). Follow-up analyses were performed in the context of (1) experiencing any of 16 potential traumas, (2) the total number of traumas endorsed, and (3) the context of trauma. Autism, depression, generalized anxiety, and PCL-17 PGS were included as covariates to verify the specificity of the effect. Results EQPGS associated with PCL-6 (R2 = 0.012%, P = 9.35 × 10−5). This effect remained significant after accounting for autism, depression, PTSD, and anxiety PGS but was observed only in those who endorsed experiencing at least one traumatic event. EQPGS showed the strongest effect on PCL-6 (β = 2.32, s.e. = 0.762, P = 0.002) among those who endorsed childhood neglect/abuse (felt hated as a child). With respect to case status, the highest probability of PTSD was 17.93% and 10.04% for those who endorsed “feeling hated as a child” and those who did not, respectively (Pdiff = 0.011; Cohen's d = 1.951, 95%CI 1.70–2.20). Conclusions A genetic predisposition to higher empathy, which may index greater emotional sensitivity, predisposes an individual to more severe PTSD symptoms, especially after early-life adversity.
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Wendt FR, De Lillo A, Pathak GA, De Angelis F, Polimanti R. Host Genetic Liability for Severe COVID-19 Associates with Alcohol Drinking Behavior and Diabetic Outcomes in Participants of European Descent. Front Genet 2021; 12:765247. [PMID: 34966408 PMCID: PMC8711039 DOI: 10.3389/fgene.2021.765247] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [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: 08/26/2021] [Accepted: 11/08/2021] [Indexed: 12/16/2022] Open
Abstract
Risk factors and long-term consequences of COVID-19 infection are unclear but can be investigated with large-scale genomic data. To distinguish correlation from causation, we performed in-silico analyses of three COVID-19 outcomes (N > 1,000,000). We show genetic correlation and putative causality with depressive symptoms, metformin use (genetic causality proportion (gĉp) with severe respiratory COVID-19 = 0.576, p = 1.07 × 10−5 and hospitalized COVID-19 = 0.713, p = 0.003), and alcohol drinking status (gĉp with severe respiratory COVID-19 = 0.633, p = 7.04 × 10−5 and hospitalized COVID-19 = 0.848, p = 4.13 × 10−13). COVID-19 risk loci associated with several hematologic biomarkers. Comprehensive findings inform genetic contributions to COVID-19 epidemiology, molecular mechanisms, and risk factors and potential long-term health effects of severe response to infection.
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Affiliation(s)
- Frank R Wendt
- Division of Human Genetics in Psychiatry, Yale School of Medicine, New Haven, CT, United States.,VA CT Healthcare System, West Haven, CT, United States
| | - Antonella De Lillo
- Division of Human Genetics in Psychiatry, Yale School of Medicine, New Haven, CT, United States
| | - Gita A Pathak
- Division of Human Genetics in Psychiatry, Yale School of Medicine, New Haven, CT, United States.,VA CT Healthcare System, West Haven, CT, United States
| | - Flavio De Angelis
- Division of Human Genetics in Psychiatry, Yale School of Medicine, New Haven, CT, United States.,VA CT Healthcare System, West Haven, CT, United States
| | | | - Renato Polimanti
- Division of Human Genetics in Psychiatry, Yale School of Medicine, New Haven, CT, United States.,VA CT Healthcare System, West Haven, CT, United States
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44
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De Angelis F, Wendt FR, Pathak GA, Tylee DS, Goswami A, Gelernter J, Polimanti R. Drinking and smoking polygenic risk is associated with childhood and early-adulthood psychiatric and behavioral traits independently of substance use and psychiatric genetic risk. Transl Psychiatry 2021; 11:586. [PMID: 34775470 PMCID: PMC8590689 DOI: 10.1038/s41398-021-01713-z] [Citation(s) in RCA: 7] [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] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 10/22/2021] [Accepted: 10/29/2021] [Indexed: 11/09/2022] Open
Abstract
Alcohol drinking and tobacco smoking are hazardous behaviors associated with a wide range of adverse health outcomes. In this study, we explored the association of polygenic risk scores (PRS) related to drinks per week, age of smoking initiation, smoking initiation, cigarettes per day, and smoking cessation with 433 psychiatric and behavioral traits in 4498 children and young adults (aged 8-21) of European ancestry from the Philadelphia neurodevelopmental cohort. After applying a false discovery rate multiple testing correction accounting for the number of PRS and traits tested, we identified 36 associations related to psychotic symptoms, emotion and age recognition social competencies, verbal reasoning, anxiety-related traits, parents' education, and substance use. These associations were independent of the genetic correlations among the alcohol-drinking and tobacco-smoking traits and those with cognitive performance, educational attainment, risk-taking behaviors, and psychopathology. The removal of participants endorsing substance use did not affect the associations of each PRS with psychiatric and behavioral traits identified as significant in the discovery analyses. Gene-ontology enrichment analyses identified several neurobiological processes underlying mechanisms of the PRS associations we report. In conclusion, we provide novel insights into the genetic overlap of smoking and drinking behaviors in children and young adults, highlighting their independence from psychopathology and substance use.
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Affiliation(s)
- Flavio De Angelis
- Department of Psychiatry, Yale University School of Medicine, West Haven, CT, USA
- Veteran Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Frank R Wendt
- Department of Psychiatry, Yale University School of Medicine, West Haven, CT, USA
- Veteran Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Gita A Pathak
- Department of Psychiatry, Yale University School of Medicine, West Haven, CT, USA
- Veteran Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Daniel S Tylee
- Department of Psychiatry, Yale University School of Medicine, West Haven, CT, USA
- Veteran Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Aranyak Goswami
- Department of Psychiatry, Yale University School of Medicine, West Haven, CT, USA
- Veteran Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Joel Gelernter
- Department of Psychiatry, Yale University School of Medicine, West Haven, CT, USA
- Veteran Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Renato Polimanti
- Department of Psychiatry, Yale University School of Medicine, West Haven, CT, USA.
- Veteran Affairs Connecticut Healthcare System, West Haven, CT, USA.
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45
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Muniz Carvalho C, Wendt FR, Pathak GA, Maihofer AX, Stein DJ, Sumner JA, Hemmings SM, Nievergelt CM, Koenen KC, Gelernter J, Belangero SI, Polimanti R. Disentangling sex differences in the shared genetic architecture of posttraumatic stress disorder, traumatic experiences, and social support with body size and composition. Neurobiol Stress 2021; 15:100400. [PMID: 34611531 PMCID: PMC8477211 DOI: 10.1016/j.ynstr.2021.100400] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 09/04/2021] [Accepted: 09/14/2021] [Indexed: 11/03/2022] Open
Abstract
There is a well-known association of traumatic experiences and posttraumatic stress disorder (PTSD) with body size and composition, including consistent differences between sexes. However, the biology underlying these associations is unclear. To understand the genetic underpinnings of this complex relationship, we investigated genome-wide datasets informative of African and European ancestries from the Psychiatric Genomic Consortium, the UK Biobank, the GIANT Consortium, and the Million Veteran Program. We used genome-wide association statistics to estimate sex-specific genetic correlations (r g ) of traumatic experiences, social support, and PTSD with multiple anthropometric traits. After multiple testing corrections (false discovery rate, FDR q < 0.05), we observed 58 significant r g relationships in females (e.g., childhood physical abuse and body mass index, BMI r g = 0.245, p = 3.88 × 10-10) and 21 significant r g relationships in males (e.g., been involved in combat or exposed to warzone and leg fat percentage; r g = 0.405, p = 4.42 × 10-10). We performed causal inference analyses of these genetic overlaps using Mendelian randomization and latent causal variable approaches. Multiple female-specific putative causal relationships were observed linking body composition/size with PTSD (e.g., leg fat percentage→PTSD; beta = 0.319, p = 3.13 × 10-9), traumatic experiences (e.g., childhood physical abuse→waist circumference; beta = 0.055, p = 5.07 × 10-4), and childhood neglect (e.g., "someone to take you to doctor when needed as a child"→BMI; beta = -0.594, p = 1.09 × 10-5). In males, we observed putative causal effects linking anthropometric-trait genetic liabilities to traumatic experiences (e.g., BMI→childhood physical abuse; beta = 0.028, p = 8.19 × 10-3). Some of these findings were replicated in individuals of African descent although the limited sample size available did not permit us to conduct a sex-stratified analysis in this ancestry group. In conclusion, our findings provide insights regarding sex-specific causal networks linking anthropometric traits to PTSD, traumatic experiences, and social support.
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Affiliation(s)
- Carolina Muniz Carvalho
- Department of Psychiatry, Yale School of Medicine and VA CT Healthcare Center, West Haven, CT, 06516, USA
- Department of Psychiatry, Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil
| | - Frank R. Wendt
- Department of Psychiatry, Yale School of Medicine and VA CT Healthcare Center, West Haven, CT, 06516, USA
| | - Gita A. Pathak
- Department of Psychiatry, Yale School of Medicine and VA CT Healthcare Center, West Haven, CT, 06516, USA
| | - Adam X. Maihofer
- Department of Psychiatry, School of Medicine, University of California, San Diego, La Jolla, CA, USA
- Center of Excellence for Stress and Mental Health, Veterans Affairs San Diego Healthcare System, San Diego, CA, USA
| | - Dan J. Stein
- MRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Jennifer A. Sumner
- Department of Psychology, University of California, Los Angeles, CA, USA
| | - Sian M.J. Hemmings
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Caroline M. Nievergelt
- Department of Psychiatry, School of Medicine, University of California, San Diego, La Jolla, CA, USA
- Center of Excellence for Stress and Mental Health, Veterans Affairs San Diego Healthcare System, San Diego, CA, USA
| | - Karestan C. Koenen
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, United States
| | - Joel Gelernter
- Department of Psychiatry, Yale School of Medicine and VA CT Healthcare Center, West Haven, CT, 06516, USA
- Departments of Genetics and Neuroscience, Yale University School of Medicine, New Haven, CT, 06510, USA
| | - Sintia I. Belangero
- Department of Psychiatry, Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil
- Genetics Division, Department of Morphology and Genetics, Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil
| | - Renato Polimanti
- Department of Psychiatry, Yale School of Medicine and VA CT Healthcare Center, West Haven, CT, 06516, USA
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Pathak GA, Wendt FR, Goswami A, Koller D, De Angelis F, Polimanti R. ACE2 Netlas: In silico Functional Characterization and Drug-Gene Interactions of ACE2 Gene Network to Understand Its Potential Involvement in COVID-19 Susceptibility. Front Genet 2021; 12:698033. [PMID: 34512723 PMCID: PMC8429844 DOI: 10.3389/fgene.2021.698033] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [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: 05/07/2021] [Accepted: 07/29/2021] [Indexed: 12/15/2022] Open
Abstract
Angiotensin-converting enzyme-2 (ACE2) receptor has been identified as the key adhesion molecule for the transmission of the SARS-CoV-2. However, there is no evidence that human genetic variation in ACE2 is singularly responsible for COVID-19 susceptibility. Therefore, we performed an integrative multi-level characterization of genes that interact with ACE2 (ACE2-gene network) for their statistically enriched biological properties in the context of COVID-19. The phenome-wide association of 51 genes including ACE2 with 4,756 traits categorized into 26 phenotype categories, showed enrichment of immunological, respiratory, environmental, skeletal, dermatological, and metabolic domains (p < 4e-4). Transcriptomic regulation of ACE2-gene network was enriched for tissue-specificity in kidney, small intestine, and colon (p < 4.7e-4). Leveraging the drug-gene interaction database we identified 47 drugs, including dexamethasone and spironolactone, among others. Considering genetic variants within ± 10 kb of ACE2-network genes we identified miRNAs whose binding sites may be altered as a consequence of genetic variation. The identified miRNAs revealed statistical over-representation of inflammation, aging, diabetes, and heart conditions. The genetic variant associations in RORA, SLC12A6, and SLC6A19 genes were observed in genome-wide association study (GWAS) of COVID-19 susceptibility. We also report the GWAS-identified variant in 3p21.31 locus, serves as trans-QTL for RORA and RORC genes. Overall, functional characterization of ACE2-gene network highlights several potential mechanisms in COVID-19 susceptibility. The data can also be accessed at https://gpwhiz.github.io/ACE2Netlas/.
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Affiliation(s)
- Gita A. Pathak
- Division of Human Genetics, Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States
- Veteran Affairs Connecticut Healthcare System, West Haven, CT, United States
| | - Frank R. Wendt
- Division of Human Genetics, Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States
- Veteran Affairs Connecticut Healthcare System, West Haven, CT, United States
| | - Aranyak Goswami
- Division of Human Genetics, Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States
- Veteran Affairs Connecticut Healthcare System, West Haven, CT, United States
| | - Dora Koller
- Division of Human Genetics, Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States
- Veteran Affairs Connecticut Healthcare System, West Haven, CT, United States
| | - Flavio De Angelis
- Division of Human Genetics, Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States
- Veteran Affairs Connecticut Healthcare System, West Haven, CT, United States
| | | | - Renato Polimanti
- Division of Human Genetics, Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States
- Veteran Affairs Connecticut Healthcare System, West Haven, CT, United States
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47
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Pathak GA, Singh K, Miller-Fleming TW, Wendt FR, Ehsan N, Hou K, Johnson R, Lu Z, Gopalan S, Yengo L, Mohammadi P, Pasaniuc B, Polimanti R, Davis LK, Mancuso N. Integrative genomic analyses identify susceptibility genes underlying COVID-19 hospitalization. Nat Commun 2021; 12:4569. [PMID: 34315903 PMCID: PMC8316582 DOI: 10.1038/s41467-021-24824-z] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [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: 03/20/2021] [Accepted: 07/07/2021] [Indexed: 12/11/2022] Open
Abstract
Despite rapid progress in characterizing the role of host genetics in SARS-Cov-2 infection, there is limited understanding of genes and pathways that contribute to COVID-19. Here, we integrate a genome-wide association study of COVID-19 hospitalization (7,885 cases and 961,804 controls from COVID-19 Host Genetics Initiative) with mRNA expression, splicing, and protein levels (n = 18,502). We identify 27 genes related to inflammation and coagulation pathways whose genetically predicted expression was associated with COVID-19 hospitalization. We functionally characterize the 27 genes using phenome- and laboratory-wide association scans in Vanderbilt Biobank (n = 85,460) and identified coagulation-related clinical symptoms, immunologic, and blood-cell-related biomarkers. We replicate these findings across trans-ethnic studies and observed consistent effects in individuals of diverse ancestral backgrounds in Vanderbilt Biobank, pan-UK Biobank, and Biobank Japan. Our study highlights and reconfirms putative causal genes impacting COVID-19 severity and symptomology through the host inflammatory response.
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Affiliation(s)
- Gita A Pathak
- Yale School of Medicine, Department of Psychiatry, Division of Human Genetics, New Haven, CT, USA
- Veteran Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Kritika Singh
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Tyne W Miller-Fleming
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Frank R Wendt
- Yale School of Medicine, Department of Psychiatry, Division of Human Genetics, New Haven, CT, USA
- Veteran Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Nava Ehsan
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
| | - Kangcheng Hou
- Bioinformatics Interdepartmental Program, University of California Los Angeles, Los Angeles, CA, USA
| | - Ruth Johnson
- Department of Computer Science, University of California Los Angeles, Los Angeles, CA, USA
| | - Zeyun Lu
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Shyamalika Gopalan
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Loic Yengo
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
| | - Pejman Mohammadi
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
- Scripps Translational Science Institute, The Scripps Research Institute, La Jolla, CA, USA
| | - Bogdan Pasaniuc
- Departments of Computational Medicine, Human Genetics, Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Renato Polimanti
- Yale School of Medicine, Department of Psychiatry, Division of Human Genetics, New Haven, CT, USA
- Veteran Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Lea K Davis
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Nicholas Mancuso
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
- Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
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48
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O'Donnell CJ, Schwartz Longacre L, Cohen BE, Fayad ZA, Gillespie CF, Liberzon I, Pathak GA, Polimanti R, Risbrough V, Ursano RJ, Vander Heide RS, Yancy CW, Vaccarino V, Sopko G, Stein MB. Posttraumatic Stress Disorder and Cardiovascular Disease: State of the Science, Knowledge Gaps, and Research Opportunities. JAMA Cardiol 2021; 6:1207-1216. [PMID: 34259831 DOI: 10.1001/jamacardio.2021.2530] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [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] [Indexed: 11/14/2022]
Abstract
Posttraumatic stress disorder (PTSD) is characterized by a persistent maladaptive reaction after exposure to severe psychological trauma. Traumatic events that may precipitate PTSD include violent personal assaults, natural and human-made disasters, and exposure to military combat or warfare. There is a growing body of evidence for associations of PTSD with major risk factors for cardiovascular disease (CVD), such as hypertension and diabetes, as well as with major CVD outcomes, such as myocardial infarction and heart failure. However, it is unclear whether these associations are causal or confounded. Furthermore, the biological and behavioral mechanisms underlying these associations are poorly understood. Here, the available evidence on the association of PTSD with CVD from population, basic, and genomic research as well as from clinical and translational research are reviewed, seeking to identify major research gaps, barriers, and opportunities in knowledge acquisition and technology as well as research tools to support and accelerate critical research for near-term and longer-term translational research directions. Large-scale, well-designed prospective studies, capturing diverse and high-risk populations, are warranted that include uniform phenotyping of PTSD as well as broad assessment of biological and behavioral risk factors and CVD outcomes. Available evidence from functional brain imaging studies demonstrates that PTSD pathophysiology includes changes in specific anatomical brain regions and circuits, and studies of immune system function in individuals with PTSD suggest its association with enhanced immune inflammatory activity. However, establishment of animal models and human tissue biobanks is also warranted to elucidate the potential causal connection of PTSD-induced brain changes and/or inflammation with CVD pathophysiology. Emerging large-scale genome-wide association studies of PTSD will provide an opportunity to conduct mendelian randomization studies that test hypotheses regarding the presence, magnitude, and direction of causal associations between PTSD and CVD outcomes. By identifying research gaps in epidemiology and genomics, animal, and human translational research, opportunities to better justify and design future interventional trials are highlighted that may test whether treatment of PTSD or underlying neurobiological or immune dysregulation may improve or prevent CVD risk or outcomes.
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Affiliation(s)
- Christopher J O'Donnell
- Cardiology Section, Department of Medicine, VA Boston Healthcare System, Boston, Massachusetts.,Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.,Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Lisa Schwartz Longacre
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Beth E Cohen
- UCSF Department of Medicine, University of California, San Francisco
| | - Zahi A Fayad
- Biomedical Engineering and Medical Institute, Icahn Mount Sinai School of Medicine, New York, New York.,Department of Cardiology, Icahn Mount Sinai School of Medicine, New York, New York
| | | | - Israel Liberzon
- Department of Psychiatry, Texas A&M University, College Station
| | - Gita A Pathak
- Yale University School of Medicine, New Haven, Connecticut.,VA Connecticut Healthcare System, West Haven
| | - Renato Polimanti
- Yale University School of Medicine, New Haven, Connecticut.,VA Connecticut Healthcare System, West Haven
| | - Victoria Risbrough
- Department of Psychiatry, UC San Diego School of Medicine, University of California, San Diego, La Jolla.,VA Center of Excellence for Stress and Mental Health, San Diego, California
| | - Robert J Ursano
- Department of Psychiatry, Uniformed Services University, Bethesda, Maryland
| | | | - Clyde W Yancy
- Department of Cardiology, Northwestern Medicine, Chicago, Illinois.,Deputy Editor, JAMA Cardiology
| | - Viola Vaccarino
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - George Sopko
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Murray B Stein
- Department of Psychiatry, UC San Diego School of Medicine, University of California, San Diego, La Jolla.,Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla.,VA San Diego Healthcare System, San Diego, California
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49
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De Lillo A, D'Antona S, Pathak GA, Wendt FR, De Angelis F, Fuciarelli M, Polimanti R. Cross-ancestry genome-wide association studies identified heterogeneous loci associated with differences of allele frequency and regulome tagging between participants of European descent and other ancestry groups from the UK Biobank. Hum Mol Genet 2021; 30:1457-1467. [PMID: 33890984 PMCID: PMC8283210 DOI: 10.1093/hmg/ddab114] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [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: 01/09/2021] [Revised: 04/14/2021] [Accepted: 01/09/2021] [Indexed: 01/28/2023] Open
Abstract
To investigate cross-ancestry genetics of complex traits, we conducted a phenome-wide analysis of loci with heterogeneous effects across African, Admixed-American, Central/South Asian, East Asian, European and Middle Eastern participants of the UK Biobank (N = 441 331). Testing 843 phenotypes, we identified 82 independent genomic regions mapping variants showing genome-wide significant (GWS) associations (P < 5 × 10-8) in the trans-ancestry meta-analysis and GWS heterogeneity among the ancestry-specific effects. These included (i) loci with GWS association in one ancestry and concordant but heterogeneous effects among the other ancestries and (ii) loci with a GWS association in one ancestry group and an experiment-wide significant discordant effect (P < 6.1 × 10-4) in at least another ancestry. Since the trans-ancestry GWS associations were mostly driven by the European ancestry sample size, we investigated the differences of the allele frequency (ΔAF) and linkage disequilibrium regulome tagging (ΔLD) between European populations and the other ancestries. Within loci with concordant effects, the degree of heterogeneity was associated with European-Middle Eastern ΔAF (P = 9.04 × 10-6) and ΔLD of European populations with respect to African, Admixed-American and Central/South Asian groups (P = 8.21 × 10-4, P = 7.17 × 10-4 and P = 2.16 × 10-3, respectively). Within loci with discordant effects, ΔAF and ΔLD of European populations with respect to African and Central/South Asian ancestries were associated with the degree of heterogeneity (ΔAF: P = 7.69 × 10-3 and P = 5.31 × 10-3, ΔLD: P = 0.016 and P = 2.65 × 10-4, respectively). Considering the traits associated with cross-ancestry heterogeneous loci, we observed enrichments for blood biomarkers (P = 5.7 × 10-35) and physical appearance (P = 1.38 × 10-4). This suggests that these specific phenotypic classes may present considerable cross-ancestry heterogeneity owing to large allele frequency and LD variation among worldwide populations.
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Affiliation(s)
- Antonella De Lillo
- Department of Psychiatry, Yale University School of Medicine, West Haven, CT 06516, USA
- Department of Biology, University of Rome Tor Vergata, Rome 00133, Italy
| | - Salvatore D'Antona
- Department of Biology, University of Rome Tor Vergata, Rome 00133, Italy
| | - Gita A Pathak
- Department of Psychiatry, Yale University School of Medicine, West Haven, CT 06516, USA
- VA CT Healthcare Center, West Haven, CT 06516, USA
| | - Frank R Wendt
- Department of Psychiatry, Yale University School of Medicine, West Haven, CT 06516, USA
- VA CT Healthcare Center, West Haven, CT 06516, USA
| | - Flavio De Angelis
- Department of Psychiatry, Yale University School of Medicine, West Haven, CT 06516, USA
- Department of Biology, University of Rome Tor Vergata, Rome 00133, Italy
- VA CT Healthcare Center, West Haven, CT 06516, USA
| | - Maria Fuciarelli
- Department of Biology, University of Rome Tor Vergata, Rome 00133, Italy
| | - Renato Polimanti
- Department of Psychiatry, Yale University School of Medicine, West Haven, CT 06516, USA
- VA CT Healthcare Center, West Haven, CT 06516, USA
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50
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Goswami A, Wendt FR, Pathak GA, Tylee DS, De Angelis F, De Lillo A, Polimanti R. Role of microbes in the pathogenesis of neuropsychiatric disorders. Front Neuroendocrinol 2021; 62:100917. [PMID: 33957173 PMCID: PMC8364482 DOI: 10.1016/j.yfrne.2021.100917] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [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: 01/10/2021] [Revised: 03/25/2021] [Accepted: 04/29/2021] [Indexed: 02/08/2023]
Abstract
Microbes inhabit different anatomical sites of the human body including oral cavity, gut, and skin. A growing literature highlights how microbiome variation is associated with human health and disease. There is strong evidence of bidirectional communication between gut and brain mediated by neurotransmitters and microbial metabolites. Here, we review the potential involvement of microbes residing in the gut and in other body sites in the pathogenesis of eight neuropsychiatric disorders, discussing findings from animal and human studies. The data reported provide a comprehensive overview of the current state of the microbiome research in neuropsychiatry, including hypotheses about the mechanisms underlying the associations reported and the translational potential of probiotics and prebiotics.
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Affiliation(s)
- Aranyak Goswami
- Department of Psychiatry, Yale School of Medicine and VA CT Healthcare Center, West Haven, CT 06516, USA
| | - Frank R Wendt
- Department of Psychiatry, Yale School of Medicine and VA CT Healthcare Center, West Haven, CT 06516, USA
| | - Gita A Pathak
- Department of Psychiatry, Yale School of Medicine and VA CT Healthcare Center, West Haven, CT 06516, USA
| | - Daniel S Tylee
- Department of Psychiatry, Yale School of Medicine and VA CT Healthcare Center, West Haven, CT 06516, USA
| | - Flavio De Angelis
- Department of Psychiatry, Yale School of Medicine and VA CT Healthcare Center, West Haven, CT 06516, USA
| | - Antonella De Lillo
- Department of Psychiatry, Yale School of Medicine and VA CT Healthcare Center, West Haven, CT 06516, USA
| | - Renato Polimanti
- Department of Psychiatry, Yale School of Medicine and VA CT Healthcare Center, West Haven, CT 06516, USA.
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