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Sen P, Ortiz O, Brivio E, Menegaz D, Sotillos Elliott L, Du Y, Ries C, Chen A, Wurst W, Lopez JP, Eder M, Deussing JM. A bipolar disorder-associated missense variant alters adenylyl cyclase 2 activity and promotes mania-like behavior. Mol Psychiatry 2024:10.1038/s41380-024-02663-w. [PMID: 39003412 DOI: 10.1038/s41380-024-02663-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 06/21/2024] [Accepted: 07/04/2024] [Indexed: 07/15/2024]
Abstract
The single nucleotide polymorphism rs13166360, causing a substitution of valine (Val) 147 to leucine (Leu) in the adenylyl cyclase 2 (ADCY2), has previously been associated with bipolar disorder (BD). Here we show that the disease-associated ADCY2 missense mutation diminishes the enzyme´s capacity to generate the second messenger 3',5'-cylic adenosine monophosphate (cAMP) by altering its subcellular localization. We established mice specifically carrying the Val to Leu substitution using CRISPR/Cas9-based gene editing. Mice homozygous for the Leu variant display symptoms of a mania-like state accompanied by cognitive impairments. Mutant animals show additional characteristic signs of rodent mania models, i.e., they are hypersensitive to amphetamine, the observed mania-like behaviors are responsive to lithium treatment and the Val to Leu substitution results in a shifted excitatory/inhibitory synaptic balance towards more excitation. Exposure to chronic social defeat stress switches homozygous Leu variant carriers from a mania- to a depressive-like state, a transition which is reminiscent of the alternations characterizing the symptomatology in BD patients. Single-cell RNA-seq (scRNA-seq) revealed widespread Adcy2 mRNA expression in numerous hippocampal cell types. Differentially expressed genes particularly identified from glutamatergic CA1 neurons point towards ADCY2 variant-dependent alterations in multiple biological processes including cAMP-related signaling pathways. These results validate ADCY2 as a BD risk gene, provide insights into underlying disease mechanisms, and potentially open novel avenues for therapeutic intervention strategies.
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Affiliation(s)
- Paromita Sen
- Molecular Neurogenetics, Max Planck Institute of Psychiatry, 80804, Munich, Germany
| | - Oskar Ortiz
- Institute of Developmental Genetics, Helmholtz Zentrum München, 85764, Neuherberg, Germany
| | - Elena Brivio
- Department Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, 80804, Munich, Germany
- Department of Brain Sciences, Weizmann Institute of Science, Rehovot, 76100, Israel
- Department of Molecular Neuroscience, Weizmann Institute of Science, Rehovot, 76100, Israel
| | - Danusa Menegaz
- Scientific Core Unit Electrophysiology, Max Planck Institute of Psychiatry, 80804, Munich, Germany
| | | | - Ying Du
- Molecular Neurogenetics, Max Planck Institute of Psychiatry, 80804, Munich, Germany
| | - Clemens Ries
- Molecular Neurogenetics, Max Planck Institute of Psychiatry, 80804, Munich, Germany
| | - Alon Chen
- Department Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, 80804, Munich, Germany
- Department of Brain Sciences, Weizmann Institute of Science, Rehovot, 76100, Israel
- Department of Molecular Neuroscience, Weizmann Institute of Science, Rehovot, 76100, Israel
| | - Wolfgang Wurst
- Institute of Developmental Genetics, Helmholtz Zentrum München, 85764, Neuherberg, Germany
- Chair of Developmental Genetics, Munich School of Life Sciences Weihenstephan, Technical University of Munich, 85354, Freising, Germany
- Munich Cluster of Systems Neurology (SyNergy), Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE) site Munich, 81377, Munich, Germany
| | - Juan Pablo Lopez
- Department Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, 80804, Munich, Germany
- Department of Neuroscience, Karolinska Institutet, Stockholm, 17177, Sweden
| | - Matthias Eder
- Scientific Core Unit Electrophysiology, Max Planck Institute of Psychiatry, 80804, Munich, Germany
| | - Jan M Deussing
- Molecular Neurogenetics, Max Planck Institute of Psychiatry, 80804, Munich, Germany.
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Pang T, Ding N, Zhao Y, Zhao J, Yang L, Chang S. Novel genetic loci of inhibitory control in ADHD and healthy children and genetic correlations with ADHD. Prog Neuropsychopharmacol Biol Psychiatry 2024; 132:110988. [PMID: 38430954 DOI: 10.1016/j.pnpbp.2024.110988] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 11/26/2023] [Accepted: 02/28/2024] [Indexed: 03/05/2024]
Abstract
Cumulative evidence has showed the deficits of inhibitory control in patients with attention deficit hyperactivity disorder (ADHD), which is considered as an endophenotype of ADHD. Genetic study of inhibitory control could advance gene discovery and further facilitate the understanding of ADHD genetic basis, but the studies were limited in both the general population and ADHD patients. To reveal genetic risk variants of inhibitory control and its potential genetic relationship with ADHD, we conducted genome-wide association studies (GWAS) on inhibitory control using three datasets, which included 783 and 957 ADHD patients and 1350 healthy children. Subsequently, we employed polygenic risk scores (PRS) to explore the association of inhibitory control with ADHD and related psychiatric disorders. Firstly, we identified three significant loci for inhibitory control in the healthy dataset, two loci in the case dataset, and one locus in the meta-analysis of three datasets. Besides, we found more risk genes and variants by applying transcriptome-wide association study (TWAS) and conditional FDR method. Then, we constructed a network by connecting the genes identified in our study, leading to the identification of several vital genes. Lastly, we identified a potential relationship between inhibitory control and ADHD and autism by PRS analysis and found the direct and mediated contribution of the identified genetic loci on ADHD symptoms by mediation analysis. In conclusion, we revealed some genetic risk variants associated with inhibitory control and elucidated the benefit of inhibitory control as an endophenotype, providing valuable insights into the mechanisms underlying ADHD.
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Affiliation(s)
- Tao Pang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Ning Ding
- School of Psychology, Shaanxi Normal University and Shaanxi Provincial Key Research Center of Child Mental and Behavioral Health, Xi'an, China
| | - Yilu Zhao
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Jingjing Zhao
- School of Psychology, Shaanxi Normal University and Shaanxi Provincial Key Research Center of Child Mental and Behavioral Health, Xi'an, China.
| | - Li Yang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China.
| | - Suhua Chang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China; Research Unit of Diagnosis and Treatment of Mood Cognitive Disorder, Chinese Academy of Medical Sciences, Peking University, Beijing 100191, China.
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3
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Gedik H, Peterson R, Chatzinakos C, Dozmorov MG, Vladimirov V, Riley BP, Bacanu SA. A novel multi-omics mendelian randomization method for gene set enrichment and its application to psychiatric disorders. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.04.14.24305811. [PMID: 38699366 PMCID: PMC11065030 DOI: 10.1101/2024.04.14.24305811] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2024]
Abstract
Genome-wide association studies (GWAS) of psychiatric disorders (PD) yield numerous loci with significant signals, but often do not implicate specific genes. Because GWAS risk loci are enriched in expression/protein/methylation quantitative loci (e/p/mQTL, hereafter xQTL), transcriptome/proteome/methylome-wide association studies (T/P/MWAS, hereafter XWAS) that integrate xQTL and GWAS information, can link GWAS signals to effects on specific genes. To further increase detection power, gene signals are aggregated within relevant gene sets (GS) by performing gene set enrichment (GSE) analyses. Often GSE methods test for enrichment of "signal" genes in curated GS while overlooking their linkage disequilibrium (LD) structure, allowing for the possibility of increased false positive rates. Moreover, no GSE tool uses xQTL information to perform mendelian randomization (MR) analysis. To make causal inference on association between PD and GS, we develop a novel MR GSE (MR-GSE) procedure. First, we generate a "synthetic" GWAS for each MSigDB GS by aggregating summary statistics for x-level (mRNA, protein or DNA methylation (DNAm) levels) from the largest xQTL studies available) of genes in a GS. Second, we use synthetic GS GWAS as exposure in a generalized summary-data-based-MR analysis of complex trait outcomes. We applied MR-GSE to GWAS of nine important PD. When applied to the underpowered opioid use disorder GWAS, none of the four analyses yielded any signals, which suggests a good control of false positive rates. For other PD, MR-GSE greatly increased the detection of GO terms signals (2,594) when compared to the commonly used (non-MR) GSE method (286). Some of the findings might be easier to adapt for treatment, e.g., our analyses suggest modest positive effects for supplementation with certain vitamins and/or omega-3 for schizophrenia, bipolar and major depression disorder patients. Similar to other MR methods, when applying MR-GSE researchers should be mindful of the confounding effects of horizontal pleiotropy on statistical inference.
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4
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Koromina M, Ravi A, Panagiotaropoulou G, Schilder BM, Humphrey J, Braun A, Bidgeli T, Chatzinakos C, Coombes B, Kim J, Liu X, Terao C, O.’Connell KS, Adams M, Adolfsson R, Alda M, Alfredsson L, Andlauer TFM, Andreassen OA, Antoniou A, Baune BT, Bengesser S, Biernacka J, Boehnke M, Bosch R, Cairns M, Carr VJ, Casas M, Catts S, Cichon S, Corvin A, Craddock N, Dafnas K, Dalkner N, Dannlowski U, Degenhardt F, Di Florio A, Dikeos D, Fellendorf FT, Ferentinos P, Forstner AJ, Forty L, Frye M, Fullerton JM, Gawlik M, Gizer IR, Gordon-Smith K, Green MJ, Grigoroiu-Serbanescu M, Guzman-Parra J, Hahn T, Henskens F, Hillert J, Jablensky AV, Jones L, Jones I, Jonsson L, Kelsoe JR, Kircher T, Kirov G, Kittel-Schneider S, Kogevinas M, Landén M, Leboyer M, Lenger M, Lissowska J, Lochner C, Loughland C, MacIntyre D, Martin NG, Maratou E, Mathews CA, Mayoral F, McElroy SL, McGregor NW, McIntosh A, McQuillin A, Michie P, Milanova V, Mitchell PB, Moutsatsou P, Mowry B, Müller-Myhsok B, Myers R, Nenadić I, Nöthen MM, O’Donovan C, O’Donovan M, Ophoff RA, Owen MJ, Pantelis C, Pato C, Pato MT, Patrinos GP, Pawlak JM, Perlis RH, Porichi E, Posthuma D, Ramos-Quiroga JA, Reif A, Reininghaus EZ, Ribasés M, Rietschel M, Schall U, Schulze TG, Scott L, Scott RJ, Serretti A, Weickert CS, Smoller JW, Artigas MS, Stein DJ, Streit F, Toma C, Tooney P, Vieta E, Vincent JB, Waldman ID, Weickert T, Witt SH, Hong KS, Ikeda M, Iwata N, Świątkowska B, Won HH, Edenberg HJ, Ripke S, Raj T, Coleman JRI, Mullins N. Fine-mapping genomic loci refines bipolar disorder risk genes. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.02.12.24302716. [PMID: 38405768 PMCID: PMC10889003 DOI: 10.1101/2024.02.12.24302716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
Bipolar disorder (BD) is a heritable mental illness with complex etiology. While the largest published genome-wide association study identified 64 BD risk loci, the causal SNPs and genes within these loci remain unknown. We applied a suite of statistical and functional fine-mapping methods to these loci, and prioritized 22 likely causal SNPs for BD. We mapped these SNPs to genes, and investigated their likely functional consequences by integrating variant annotations, brain cell-type epigenomic annotations, brain quantitative trait loci, and results from rare variant exome sequencing in BD. Convergent lines of evidence supported the roles of SCN2A, TRANK1, DCLK3, INSYN2B, SYNE1, THSD7A, CACNA1B, TUBBP5, PLCB3, PRDX5, KCNK4, AP001453.3, TRPT1, FKBP2, DNAJC4, RASGRP1, FURIN, FES, YWHAE, DPH1, GSDMB, MED24, THRA, EEF1A2, and KCNQ2 in BD. These represent promising candidates for functional experiments to understand biological mechanisms and therapeutic potential. Additionally, we demonstrated that fine-mapping effect sizes can improve performance and transferability of BD polygenic risk scores across ancestrally diverse populations, and present a high-throughput fine-mapping pipeline (https://github.com/mkoromina/SAFFARI).
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Affiliation(s)
- Maria Koromina
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ashvin Ravi
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Ronald M. Loeb Center for Alzheimer’s Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Estelle and Daniel Maggin Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Brian M. Schilder
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Ronald M. Loeb Center for Alzheimer’s Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Estelle and Daniel Maggin Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jack Humphrey
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Ronald M. Loeb Center for Alzheimer’s Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Estelle and Daniel Maggin Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alice Braun
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin, Berlin, Germany
| | | | | | - Brandon Coombes
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Jaeyoung Kim
- Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea
- Samsung Genome Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Xiaoxi Liu
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Clinical Research Center, Shizuoka General Hospital, Shizuoka, Japan
| | - Chikashi Terao
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Clinical Research Center, Shizuoka General Hospital, Shizuoka, Japan
- The Department of Applied Genetics, The School of Pharmaceutical Sciences, University of Shizuoka, Shizuoka, Japan
| | - Kevin S. O.’Connell
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT, University of Oslo, Oslo, Norway
| | - Mark Adams
- Division of Psychiatry, Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK
| | - Rolf Adolfsson
- Department of Clinical Sciences, Psychiatry, Umeå, University Medical Faculty, Umeå, Sweden
| | - Martin Alda
- Department 20 of Psychiatry, Dalhousie University, Halifax, NS, Canada
- National Institute of Mental Health, Klecany, Czech Republic
| | - Lars Alfredsson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Till F. M. Andlauer
- Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Ole A. Andreassen
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT, University of Oslo, Oslo, Norway
| | - Anastasia Antoniou
- National Kapodistrian University of Athens, 2nd Department of Psychiatry, Attikon General Hospital, Athens, Greece
| | - Bernhard T. Baune
- Department of Psychiatry, University of Münster, Münster, Germany
- Department of Psychiatry, Melbourne Medical School, The University of Melbourne, Melbourne, VIC, Australia
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Susanne Bengesser
- Medical University of Graz, Division of Psychiatry and Psychotherapeutic Medicine, Graz, Austria
| | - Joanna Biernacka
- Department of Quantitative Health Sciences Research, Mayo Clinic, Rochester, MN, USA
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - Michael Boehnke
- Center for Statistical Genetics and Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - Rosa Bosch
- Instituto de Salud Carlos III, Biomedical Network Research Centre on Mental Health (CIBERSAM), Madrid, Spain
- Programa SJD MIND Escoles, Hospital Sant Joan de Déu, Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Spain
| | | | - Vaughan J. Carr
- School of Clinical Medicine, Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, NSW, Australia
| | - Miquel Casas
- Instituto de Salud Carlos III, Biomedical Network Research Centre on Mental Health (CIBERSAM), Madrid, Spain
- Programa SJD MIND Escoles, Hospital Sant Joan de Déu, Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Spain
| | | | - Sven Cichon
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
| | - Aiden Corvin
- Neuropsychiatric Genetics Research Group, Dept of Psychiatry and Trinity Translational Medicine Institute, Trinity College Dublin, Dublin, Ireland
| | - Nicholas Craddock
- Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Konstantinos Dafnas
- National Kapodistrian University of Athens, 2nd Department of Psychiatry, Attikon General Hospital, Athens, Greece
| | - Nina Dalkner
- Medical University of Graz, Division of Psychiatry and Psychotherapeutic Medicine, Graz, Austria
| | - Udo Dannlowski
- Institute for Translatiol Psychiatry, University of Münster, Münster, Germany
| | - Franziska Degenhardt
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Duisburg, Germany
| | - Arianna Di Florio
- Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
- Department of Psychiatry, University of North Caroli at Chapel Hill, Chapel Hill, NC, USA
| | - Dimitris Dikeos
- National Kapodistrian University of Athens, 2nd Department of Psychiatry, Attikon General Hospital, Athens, Greece
| | | | - Panagiotis Ferentinos
- National Kapodistrian University of Athens, 2nd Department of Psychiatry, Attikon General Hospital, Athens, Greece
- Social, Genetic and Developmental Psychiatry Centre, King’s College London, London, UK
| | - Andreas J. Forstner
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
- Centre for Human Genetics, University of Marburg, Marburg, Germany
| | - Liz Forty
- Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Mark Frye
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - Janice M. Fullerton
- Neuroscience Research Australia, Sydney, NSW, Australia
- School of Biomedical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Micha Gawlik
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital Würzburg, Würzburg, Germany
| | - Ian R. Gizer
- Department of Psychological Sciences, University of Missouri, Columbia, MO, USA
| | | | - Melissa J. Green
- Neuroscience Research Australia, Sydney, NSW, Australia
- Discipline of Psychiatry and Mental Health, School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
| | - Maria Grigoroiu-Serbanescu
- Biometric Psychiatric Genetics Research Unit, Alexandru Obregia Clinical Psychiatric Hospital, Bucharest, Romania
| | - José Guzman-Parra
- Mental Health Department, University Regional Hospital, Biomedicine Institute (IBIMA), Málaga, Spain
| | - Tim Hahn
- Institute for Translatiol Psychiatry, University of Münster, Münster, Germany
| | | | - Jan Hillert
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | | | - Lisa Jones
- Psychological Medicine, University of Worcester, Worcester, UK
| | - Ian Jones
- Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Lina Jonsson
- Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
| | - John R. Kelsoe
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, University of Marburg, Germany
| | - George Kirov
- Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Sarah Kittel-Schneider
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital Würzburg, Würzburg, Germany
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Frankfurt am Main, Germany
- Department of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland
| | | | - Mikael Landén
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Marion Leboyer
- Université Paris Est Créteil, INSERM, IMRB, Translational Neuropsychiatry, Créteil, France
- Department of Psychiatry and Addiction Medicine, Assistance Publique - Hôpitaux de Paris, Paris, France
| | - Melanie Lenger
- Medical University of Graz, Division of Psychiatry and Psychotherapeutic Medicine, Graz, Austria
| | - Jolanta Lissowska
- Cancer Epidemiology and Prevention, M. Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland
| | - Christine Lochner
- SA MRC Unit on Risk and Resilience in Mental Disorders, Dept of Psychiatry, Stellenbosch University, Stellenbosch, South Africa
| | | | - Donald MacIntyre
- Division of Psychiatry, Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK
| | - Nicholas G. Martin
- Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- School of Psychology, The University of Queensland, Brisbane, QLD, Australia
| | - Eirini Maratou
- National and Kapodistrian University of Athens, Medical School, Clinical Biochemistry Laboratory, Attikon General Hospital, Athens, Greece
| | - Carol A. Mathews
- Department of Psychiatry and Genetics Institute, University of Florida, Gainesville, FL, USA
| | - Fermin Mayoral
- Mental Health Department, University Regional Hospital, Biomedicine Institute (IBIMA), Málaga, Spain
| | | | - Nathaniel W. McGregor
- Systems Genetics Working Group, Department of Genetics, Stellenbosch University, Stellenbosch, South Africa
| | - Andrew McIntosh
- Division of Psychiatry, Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK
| | | | | | - Vihra Milanova
- Psychiatric Clinic, Alexander University Hospital, Bulgaria
| | - Philip B. Mitchell
- Discipline of Psychiatry and Mental Health, School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
| | - Paraskevi Moutsatsou
- National Kapodistrian University of Athens, Medical School, Clinical Biochemistry Laboratory, Attikon General Hospital, Athens, Greece
| | - Bryan Mowry
- University of Queensland, Brisbane, QLD, Australia
| | - Bertram Müller-Myhsok
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Richard Myers
- Hudsolpha Institute for Biotechnology, Huntsville, AL, USA
| | - Igor Nenadić
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Giessen, Germany
| | - Markus M. Nöthen
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
| | - Claire O’Donovan
- Department 20 of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Michael O’Donovan
- Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Roel A. Ophoff
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- Department of Psychiatry, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Psychiatry and Biobehavioral Science, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Michael J Owen
- Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | | | - Carlos Pato
- Institute for Genomic Health, SUNY Downstate Medical Center College of Medicine, Brooklyn, NY, USA
| | - Michele T. Pato
- Institute for Genomic Health, SUNY Downstate Medical Center College of Medicine, Brooklyn, NY, USA
| | - George P. Patrinos
- University of Patras, School of Health Sciences, Department of Pharmacy, Laboratory of Pharmacogenomics and Individualized Therapy, Patras, Greece
- United Arab Emirates University, College of Medicine and Health Sciences, Department of Genetics and Genomics, Al-Ain, United Arab Emirates
- United Arab Emirates University, Zayed Center for Health Sciences, Al-Ain, United Arab Emirates
| | - Joanna M. Pawlak
- Department of Psychiatry, Departmet of Psychiatric Genetics, Poznan University of Medical Sciences, Poznan, Poland
| | - Roy H. Perlis
- Psychiatry, Harvard Medical School, Boston, MA, USA
- Division of Clinical Research, Massachusetts General Hospital, Boston, MA, USA
| | - Evgenia Porichi
- National and Kapodistrian University of Athens, 2nd Department of Psychiatry, Attikon General Hospital, Athens, Greece
| | - Danielle Posthuma
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Department of Clinical Genetics, Amsterdam Neuroscience, Vrije Universiteit Medical Center, Amsterdam, The Netherlands
| | - Josep Antoni Ramos-Quiroga
- Instituto de Salud Carlos III, Biomedical Network Research Centre on Mental Health (CIBERSAM), Madrid, Spain
- Department of Psychiatry, Hospital Universitari Vall d´Hebron, Barcelo, Spain
- Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelo, Barcelo, Spain
- Psychiatric Genetics Unit, Group of Psychiatry Mental Health and Addictions, Vall d´Hebron Research Institut (VHIR), Universitat Autònoma de Barcelo, Barcelo, Spain
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Eva Z. Reininghaus
- Medical University of Graz, Division of Psychiatry and Psychotherapeutic Medicine, Graz, Austria
| | - Marta Ribasés
- Instituto de Salud Carlos III, Biomedical Network Research Centre on Mental Health (CIBERSAM), Madrid, Spain
- Department of Psychiatry, Hospital Universitari Vall d´Hebron, Barcelona, Spain
- Psychiatric Genetics Unit, Group of Psychiatry Mental Health and Addictions, Vall d´Hebron Research Institut (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- Department of Genetics, Microbiology, and Statistics, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain. Department of Genetics, Microbiology and Statistics, Faculty of Biology, Universitat de Barcelona, Barcelona, Catalonia, Spain
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | | | - Thomas G. Schulze
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Laura Scott
- Center for Statistical Genetics and Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | | | - Alessandro Serretti
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | - Cynthia Shannon Weickert
- Discipline of Psychiatry and Mental Health, School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
- Department of Neuroscience, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Jordan W. Smoller
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Psychiatric and Neurodevelopmental Genetics Unit (PNGU), Massachusetts General Hospital, Boston, MA, USA
| | - Maria Soler Artigas
- Instituto de Salud Carlos III, Biomedical Network Research Centre on Mental Health (CIBERSAM), Madrid, Spain
- Department of Psychiatry, Hospital Universitari Vall d´Hebron, Barcelo, Spain
- Psychiatric Genetics Unit, Group of Psychiatry Mental Health and Addictions, Vall d´Hebron Research Institut (VHIR), Universitat Autònoma de Barcelo, Barcelo, Spain
- Department of Genetics, Microbiology, and Statistics, Faculty of Biology, Universitat de Barcelo, Barcelo, Spain
| | - Dan J. Stein
- SAMRC Unit on Risk and Resilience in Mental Disorders, Dept of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Fabian Streit
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Claudio Toma
- Neuroscience Research Australia, Sydney, NSW, Australia
- Discipline of Psychiatry and Mental Health, School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
- Centro de Biología Molecular Severo Ochoa, Universidad Autónoma de Madrid and CSIC, Madrid, Spain
| | - Paul Tooney
- University of Newcastle, Newcastle, NSW, Australia
| | - Eduard Vieta
- Clinical Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Spain
| | - John B. Vincent
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | | | - Thomas Weickert
- Discipline of Psychiatry and Mental Health, School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
- Department of Neuroscience, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Stephanie H. Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Kyung Sue Hong
- Department of Psychiatry, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, South Korea
| | - Masashi Ikeda
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan
| | - Nakao Iwata
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan
| | - Beata Świątkowska
- Department of Environmental Epidemiology, Nofer Institute of Occupational Medicine, Lodz, Poland
| | - Hong-Hee Won
- Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea
| | - Howard J. Edenberg
- Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Medical and Molecular Genetics, Indiana University, Indianapolis, IN, USA
| | - Stephan Ripke
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin, Berlin, Germany
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Towfique Raj
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Ronald M. Loeb Center for Alzheimer’s Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Estelle and Daniel Maggin Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jonathan R. I. Coleman
- Social, Genetic and Developmental Psychiatry Centre, King’s College London, London, UK
- NIHR Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK
| | - Niamh Mullins
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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5
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Villacres JE, Riveira N, Kim S, Colgin LL, Noebels JL, Lopez AY. Abnormal patterns of sleep and waking behaviors are accompanied by neocortical oscillation disturbances in an Ank3 mouse model of epilepsy-bipolar disorder comorbidity. Transl Psychiatry 2023; 13:403. [PMID: 38123552 PMCID: PMC10733341 DOI: 10.1038/s41398-023-02700-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Revised: 11/28/2023] [Accepted: 12/04/2023] [Indexed: 12/23/2023] Open
Abstract
ANK3 is a leading bipolar disorder (BD) candidate gene in humans and provides a unique opportunity for studying epilepsy-BD comorbidity. Previous studies showed that deletion of Ank3-1b, a BD-associated variant of Ank3 in mice leads to increased firing threshold and diminished action potential dynamic range of parvalbumin (PV) interneurons and absence epilepsy, thus providing a biological mechanism linking epilepsy and BD. To explore the behavioral overlap of these disorders, we characterized behavioral patterns of Ank3-1b KO mice during overnight home-cage activity and examined network activity during these behaviors using paired video and EEG recordings. Since PV interneurons contribute to the generation of high-frequency gamma oscillations, we anticipated changes in the power of neocortical EEG signals in the gamma frequency range (> 25 Hz) during behavioral states related to human BD symptoms, including abnormal sleep, hyperactivity, and repetitive behaviors. Ank3-1b KO mice exhibited an overall increase in slow gamma (~25-45 Hz) power compared to controls, and slow gamma power correlated with seizure phenotype severity across behaviors. During sleep, increased slow gamma power correlated with decreased time spent in the rapid eye movement (REM) stage of sleep. Seizures were more common during REM sleep compared to non-REM (NREM) sleep. We also found that Ank3-1b KO mice were hyperactive and exhibited a repetitive behavior phenotype that co-occurred with increased slow gamma power. Our results identify a novel EEG biomarker associating Ank3 genetic variation with BD and epilepsy and suggest modulation of gamma oscillations as a potential therapeutic target.
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Affiliation(s)
- Juan E Villacres
- Center for Learning and Memory, The University of Texas at Austin, Austin, TX, 78712-0805, USA
- Department of Neuroscience, The University of Texas at Austin, Austin, TX, 78712-0805, USA
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, 78712-0805, USA
| | - Nicholas Riveira
- Center for Learning and Memory, The University of Texas at Austin, Austin, TX, 78712-0805, USA
- Department of Neuroscience, The University of Texas at Austin, Austin, TX, 78712-0805, USA
- Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, 78712-0805, USA
| | - Sohmee Kim
- Center for Learning and Memory, The University of Texas at Austin, Austin, TX, 78712-0805, USA
- Department of Neuroscience, The University of Texas at Austin, Austin, TX, 78712-0805, USA
| | - Laura L Colgin
- Center for Learning and Memory, The University of Texas at Austin, Austin, TX, 78712-0805, USA
- Department of Neuroscience, The University of Texas at Austin, Austin, TX, 78712-0805, USA
- Institute for Neuroscience, The University of Texas at Austin, Austin, TX, 78712-0805, USA
| | - Jeffrey L Noebels
- Department of Neurology, Baylor College of Medicine, Houston, TX, 77030, USA
- Department of Neuroscience, Baylor College of Medicine, Houston, TX, 77030, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Angel Y Lopez
- Center for Learning and Memory, The University of Texas at Austin, Austin, TX, 78712-0805, USA.
- Department of Neuroscience, The University of Texas at Austin, Austin, TX, 78712-0805, USA.
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Toste CC, O’Donovan MC, Bray NJ. Mapping microRNA expression quantitative trait loci in the prenatal human brain implicates miR-1908-5p expression in bipolar disorder and other brain-related traits. Hum Mol Genet 2023; 32:2941-2949. [PMID: 37471622 PMCID: PMC10549788 DOI: 10.1093/hmg/ddad118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 07/10/2023] [Accepted: 07/13/2023] [Indexed: 07/22/2023] Open
Abstract
MicroRNA (miRNA) are small non-coding RNA involved in post-transcriptional gene regulation. Given their known involvement in early neurodevelopment processes, we here sought to identify common genetic variants associated with altered miRNA expression in the prenatal human brain. We performed small RNA sequencing on brain tissue from 112 genome-wide genotyped fetuses from the second trimester of gestation, identifying high-confidence (false discovery rate < 0.05) expression quantitative trait loci for 30 mature miRNA. Integrating our findings with genome-wide association study data for brain-related disorders, we implicate increased prenatal expression of miR-1908-5p as a risk mechanism for bipolar disorder and find that predicted mRNA targets of miR-1908-5p that are expressed in the fetal brain are enriched for common variant genetic association with the condition. Extending these analyses to other brain-related traits, we find that common genetic variation associated with increased miR-1908-5p expression in fetal brain is additionally associated with depressive symptoms, irritability, increased right cerebellum exterior volume and increased sleep duration in the general population. Our findings provide support to the view that altered miRNA expression can influence susceptibility to neuropsychiatric illness and suggest an early neurodevelopmental risk mechanism for bipolar disorder.
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Affiliation(s)
- Carolina C Toste
- Centre for Neuropsychiatric Genetics & Genomics, Division of Psychological Medicine & Clinical Neurosciences, Cardiff University, Cardiff CF10 4HQ, United Kingdom
| | - Michael C O’Donovan
- Centre for Neuropsychiatric Genetics & Genomics, Division of Psychological Medicine & Clinical Neurosciences, Cardiff University, Cardiff CF10 4HQ, United Kingdom
| | - Nicholas J Bray
- Centre for Neuropsychiatric Genetics & Genomics, Division of Psychological Medicine & Clinical Neurosciences, Cardiff University, Cardiff CF10 4HQ, United Kingdom
- Neuroscience & Mental Health Innovation Institute, Cardiff University, Cardiff CF24 4HQ, United Kingdom
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Zakaria WNA, Wijaya A, Al-Rahbi B, Ahmad AH, Zakaria R, Othman Z. Emerging trends in gene and bipolar disorder research: a bibliometric analysis and network visualisation. Psychiatr Genet 2023; 33:102-112. [PMID: 36825833 DOI: 10.1097/ypg.0000000000000338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2023]
Abstract
This study aims to use a bibliometric technique to evaluate the scientific output of gene and bipolar disorder research. The search query related to gene and bipolar disorder from the Scopus database identified 1848 documents from 1951 to 2020. The growth in the publications increased since early 1990, peaked in 2011, and started to decline thereafter. High occurrence in author keywords suggests that some research topics, such as "polymorphism", "linkage" and "association study" have waned over time, whereas others, such as "DNA methylation," "circadian rhythm," "" and "meta-analysis," are now the emerging trends in gene and bipolar disorder research. The USA was the country with the highest production followed by the UK, Canada, Italy and Germany. The leading institutions were Cardiff University in the UK, the National Institute of Mental Health (NIMH) in the USA, King's College London in the UK and the University of California, San Diego in the USA. The leading journals publishing gene and bipolar literature were the American Journal of Medical Genetics Neuropsychiatric Genetics, Molecular Psychiatry and Psychiatric Genetics. The top authors in the number of publications were Craddock N, Serretti A and Rietschel M. According to the co-authorship network analysis of authors, the majority of the authors in the same clusters were closely linked together and originated from the same or neighbouring country. The findings of this study may be useful in identifying emerging topics for future research and promoting research collaboration in the field of genetic studies related to bipolar disorder.
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Affiliation(s)
- Wan Nur Amalina Zakaria
- Human Genome Centre, School of Medical Sciences, Universiti Sains Malaysia Health Campus, Kubang Kerian, Kelantan, Malaysia
| | - Adi Wijaya
- Department of Health Information Management, Universitas Indonesia Maju, Jakarta, Indonesia
| | | | | | | | - Zahiruddin Othman
- Department of Psychiatry, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia
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Polat N, Beyaztas H, Aktas S, Maden O, Metin Guler E. Comparison of oxidative stress parameters, thiol-disulfide homeostasis, and pro-inflammatory cytokines levels in patients with bipolar disorder and their first-degree relatives. J Psychiatr Res 2023; 162:103-112. [PMID: 37148601 DOI: 10.1016/j.jpsychires.2023.05.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Revised: 04/04/2023] [Accepted: 05/01/2023] [Indexed: 05/08/2023]
Abstract
BACKGROUND In this study, we aimed to compare the oxidative stress parameters, thiol-disulfide homeostasis, and plasma pro-inflammatory cytokines levels of patients with bipolar disorder (BD), BD patients' first-degree relatives (FDRs), and the healthy controls (HCs). METHODS Thirty-five patients with BD, 35 FDRs of BD, and 35 healthy controls (HCs) were included. The individuals' ages varied from 28 to 58, and the groups were well-matched in terms of age and gender. The total thiol (TT), native thiol (NT), disulfide (DIS), total oxidant status (TOS), total antioxidant status (TAS), IL-1β, IL-6, and TNF-α concentrations were measured from serum samples. The oxidative stress index (OSI) was calculated using mathematical formulas. RESULTS TOS was significantly higher in both patients and FDRs than HCs (p < 0.01 for all pairwise comparisons). OSI, DIS, oxidized thiol, and the ratio of thiol oxidation-reduction levels were significantly higher in both patients with BD and FDRs than HCs (p < 0.01 for all pairwise comparisons). TAS, TT, NT, and reduced thiol levels were significantly lower in both patients with BD and FDRs than HCs (p < 0.01 for all pairwise comparisons). IL-1β, IL-6, and TNF-α were significantly higher in both patients and FDRs than HCs (p < 0.01 for all pairwise comparisons). LIMITATIONS Small sample size. CONCLUSIONS Early diagnosis is important for treating of bipolar disorder. TT, NT, DIS, TOS, TAS, OSI, IL1-β, IL-6, and TNF-α can be used as potential biomarkers in the early diagnosis and intervention of BD. Furthermore, oxidative/antioxidative markers and plasma pro-inflammatory cytokine parameters may guide the determination of the disease's activity and response to treatment.
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Affiliation(s)
- Naci Polat
- Department of Pathophysiology, Faculty of Medicine, Ankara University, Ankara, Turkey.
| | - Hakan Beyaztas
- Department of Medical Biochemistry, University of Health Sciences Turkey, Hamidiye Faculty of Medicine, Istanbul, Turkey
| | - Selman Aktas
- Department of Biostatistics, Haydarpasa University of Health Sciences Turkey, Hamidiye Faculty of Medicine, Istanbul, Turkey; Department of Biostatistics, Istanbul University-Cerrahpasa, Institue of Health Sciences, Istanbul, Turkey
| | - Ozgur Maden
- Department of Mental Health and Diseases, University of Health Sciences Sultan 2. Abdulhamid Han Training and Research Hospital, Istanbul, Turkey
| | - Eray Metin Guler
- Department of Medical Biochemistry, University of Health Sciences Turkey, Hamidiye Faculty of Medicine, Istanbul, Turkey; Department of Medical Biochemistry, University of Health Sciences Turkey, Haydarpasa Numune Health Application and Research Center, Istanbul, Turkey
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Piguel NH, Sanders SS, De Simone FI, Martin-de-Saavedra MD, McCoig E, Dionisio LE, Smith KR, Thomas GM, Penzes P. Palmitoylation controls the stability of 190 kDa ankyrin-G in dendritic spines and is regulated by ZDHHC8 and lithium. Front Mol Neurosci 2023; 16:1144066. [PMID: 36969554 PMCID: PMC10031057 DOI: 10.3389/fnmol.2023.1144066] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 02/14/2023] [Indexed: 03/10/2023] Open
Abstract
Introduction AnkG, encoded by the ANK3 gene, is a multifunctional scaffold protein with complex isoform expression: the 480 and 270 kDa isoforms have roles at the axon initial segment and node of Ranvier, whereas the 190 kDa isoform (AnkG-190) has an emerging role in the dendritic shaft and spine heads. All isoforms of AnkG undergo palmitoylation, a post-translational modification regulating protein attachment to lipid membranes. However, palmitoylation of AnkG-190 has not been investigated in dendritic spines. The ANK3 gene and altered expression of AnkG proteins are associated with a variety of neuropsychiatric and neurodevelopmental disorders including bipolar disorder and are implicated in the lithium response, a commonly used mood stabilizer for bipolar disorder patients, although the precise mechanisms involved are unknown. Result Here, we showed that Cys70 palmitoylation stabilizes the localization of AnkG-190 in spine heads and at dendritic plasma membrane nanodomains. Mutation of Cys70 impairs AnkG-190 function in dendritic spines and alters PSD-95 scaffolding. Interestingly, we find that lithium reduces AnkG-190 palmitoylation thereby increasing its mobility in dendritic spines. Finally, we demonstrate that the palmitoyl acyl transferase ZDHHC8, but not ZDHHC5, increases AnkG-190 stability in spine heads and is inhibited by lithium. Discussion Together, our data reveal that palmitoylation is critical for AnkG-190 localization and function and a potential ZDHHC8/AnkG-190 mechanism linking AnkG-190 mobility to the neuronal effects of lithium.
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Affiliation(s)
- Nicolas H. Piguel
- Department of Neuroscience, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Shaun S. Sanders
- Shriners Hospitals Pediatric Research Center, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, United States
| | - Francesca I. De Simone
- Shriners Hospitals Pediatric Research Center, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, United States
| | - Maria D. Martin-de-Saavedra
- Department of Neuroscience, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
- Department of Biochemistry and Molecular Biology, School of Pharmacy, Instituto Universitario de Investigación en Neuroquímica, Complutense University of Madrid, Madrid, Spain
| | - Emmarose McCoig
- Department of Neuroscience, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Leonardo E. Dionisio
- Department of Neuroscience, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Katharine R. Smith
- Department of Pharmacology, University of Colorado School of Medicine, Aurora, CO, United States
| | - Gareth M. Thomas
- Department of Anatomy and Cell Biology, Shriners Hospitals Pediatric Research Center, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, United States
| | - Peter Penzes
- Department of Neuroscience, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
- Northwestern University Center for Autism and Neurodevelopment, Chicago, IL, United States
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10
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Hara T, Owada Y, Takata A. Genetics of bipolar disorder: insights into its complex architecture and biology from common and rare variants. J Hum Genet 2023; 68:183-191. [PMID: 35614313 DOI: 10.1038/s10038-022-01046-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 04/28/2022] [Accepted: 05/11/2022] [Indexed: 11/09/2022]
Abstract
Bipolar disorder (BD) is a common mental disorder characterized by recurrent mood episodes, which causes major socioeconomic burdens globally. Though its disease pathogenesis is largely unknown, the high heritability of BD indicates strong contributions from genetic factors. In this review, we summarize the recent achievements in the genetics of BD, particularly those from genome-wide association study (GWAS) of common variants and next-generation sequencing analysis of rare variants. These include the identification of dozens of robust disease-associated loci, deepening of our understanding of the biology of BD, objective description of correlations with other psychiatric disorders and behavioral traits, formulation of methods for predicting disease risk and drug response, and the discovery of a single gene associated with bipolar disorder and schizophrenia spectrum with a large effect size. On the other hand, the findings to date have not yet made a clear contribution to the improvement of clinical psychiatry of BD. We overview the remaining challenges as well as possible paths to resolve them, referring to studies of other major neuropsychiatric disorders.
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Affiliation(s)
- Tomonori Hara
- Molecular Pathology of Psychiatric Disorders, RIKEN Center for Brain Science, Wako, Saitama, 351-0198, Japan.,Department of Organ Anatomy, Tohoku University Graduate School of Medicine, Sendai, Miyagi, 980-8575, Japan
| | - Yuji Owada
- Department of Organ Anatomy, Tohoku University Graduate School of Medicine, Sendai, Miyagi, 980-8575, Japan
| | - Atsushi Takata
- Molecular Pathology of Psychiatric Disorders, RIKEN Center for Brain Science, Wako, Saitama, 351-0198, Japan.
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11
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Thomas KT, Vermare A, Egleston SO, Wang YD, Mishra A, Lin T, Peng J, Zakharenko SS. MicroRNA 3' ends shorten during adolescent brain maturation. Front Mol Neurosci 2023; 16:1168695. [PMID: 37122627 PMCID: PMC10140418 DOI: 10.3389/fnmol.2023.1168695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 03/21/2023] [Indexed: 05/02/2023] Open
Abstract
MicroRNA (miRNA) dysregulation is well-documented in psychiatric disease, but miRNA dynamics remain poorly understood during adolescent and early adult brain maturation, when symptoms often first appear. Here, we use RNA sequencing to examine miRNAs and their mRNA targets in cortex and hippocampus from early-, mid-, and late-adolescent and adult mice. Furthermore, we use quantitative proteomics by tandem mass tag mass spectrometry (TMT-MS) to examine protein dynamics in cortex from the same subjects. We found that ~25% of miRNAs' 3' ends shorten with age due to increased 3' trimming and decreased U tailing. Particularly, shorter but functionally competent isoforms (isomiRs) of miR-338-3p increase up to 10-fold during adolescence and only in brain. MiRNAs that undergo 3' shortening exhibit stronger negative correlations with targets that decrease with age and stronger positive correlations with targets that increase with age, than miRNAs with stable 3' ends. Increased 3' shortening with age was also observed in available mouse and human miRNA-seq data sets, and stronger correlations between miRNAs that undergo shortening and their mRNA targets were observed in two of the three available data sets. We conclude that age-associated miRNA 3' shortening is a well-conserved feature of postnatal brain maturation.
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Affiliation(s)
- Kristen T. Thomas
- Department of Developmental Neurobiology, St. Jude Children’s Research Hospital, Memphis, TN, United States
| | - Anaïs Vermare
- Department of Developmental Neurobiology, St. Jude Children’s Research Hospital, Memphis, TN, United States
| | - Suzannah O. Egleston
- Department of Developmental Neurobiology, St. Jude Children’s Research Hospital, Memphis, TN, United States
| | - Yong-Dong Wang
- Department of Cell and Molecular Biology, St. Jude Children’s Research Hospital, Memphis, TN, United States
| | - Ashutosh Mishra
- Center for Proteomics and Metabolomics, St. Jude Children’s Research Hospital, Memphis, TN, United States
| | - Tong Lin
- Department of Biostatistics, St. Jude Children’s Research Hospital, Memphis, TN, United States
| | - Junmin Peng
- Department of Developmental Neurobiology, St. Jude Children’s Research Hospital, Memphis, TN, United States
- Center for Proteomics and Metabolomics, St. Jude Children’s Research Hospital, Memphis, TN, United States
- Department of Structural Biology, St. Jude Children’s Research Hospital, Memphis, TN, United States
| | - Stanislav S. Zakharenko
- Department of Developmental Neurobiology, St. Jude Children’s Research Hospital, Memphis, TN, United States
- *Correspondence: Stanislav S. Zakharenko,
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12
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Shahcheraghi SH, Ayatollahi J, Lotfi M, Aljabali AAA, Al-Zoubi MS, Panda PK, Mishra V, Satija S, Charbe NB, Serrano-Aroca Á, Bahar B, Takayama K, Goyal R, Bhatia A, Almutary AG, Alnuqaydan AM, Mishra Y, Negi P, Courtney A, McCarron PA, Bakshi HA, Tambuwala MM. Gene Therapy for Neuropsychiatric Disorders: Potential Targets and Tools. CNS & NEUROLOGICAL DISORDERS DRUG TARGETS 2023; 22:51-65. [PMID: 35249508 DOI: 10.2174/1871527321666220304153719] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 01/16/2022] [Accepted: 01/16/2022] [Indexed: 01/01/2023]
Abstract
Neuropsychiatric disorders that affect the central nervous system cause considerable pressures on the health care system and have a substantial economic burden on modern societies. The present treatments based on available drugs are mostly ineffective and often costly. The molecular process of neuropsychiatric disorders is closely connected to modifying the genetic structures inherited or caused by damage, toxic chemicals, and some current diseases. Gene therapy is presently an experimental concept for neurological disorders. Clinical applications endeavor to alleviate the symptoms, reduce disease progression, and repair defective genes. Implementing gene therapy in inherited and acquired neurological illnesses entails the integration of several scientific disciplines, including virology, neurology, neurosurgery, molecular genetics, and immunology. Genetic manipulation has the power to minimize or cure illness by inducing genetic alterations at endogenous loci. Gene therapy that involves treating the disease by deleting, silencing, or editing defective genes and delivering genetic material to produce therapeutic molecules has excellent potential as a novel approach for treating neuropsychiatric disorders. With the recent advances in gene selection and vector design quality in targeted treatments, gene therapy could be an effective approach. This review article will investigate and report the newest and the most critical molecules and factors in neuropsychiatric disorder gene therapy. Different genome editing techniques available will be evaluated, and the review will highlight preclinical research of genome editing for neuropsychiatric disorders while also evaluating current limitations and potential strategies to overcome genome editing advancements.
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Affiliation(s)
- Seyed H Shahcheraghi
- Department of Medical Genetics, School of Medicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
- Infectious Diseases Research Center, Shahid Sadoughi Hospital, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Jamshid Ayatollahi
- Infectious Diseases Research Center, Shahid Sadoughi Hospital, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Marzieh Lotfi
- Abortion Research Center, Reproductive Sciences Institute, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Alaa A A Aljabali
- Department of Pharmaceutics & Pharmaceutical Technology, Yarmouk University, Irbid, Jordan
| | - Mazhar S Al-Zoubi
- Yarmouk University, Faculty of Medicine, Department of Basic Medical Sciences, Irbid, Jordan
| | - Pritam K Panda
- Condensed Matter Theory Group, Materials Theory Division, Department of Physics and Astronomy, Uppsala University, Box 516, 75120 Uppsala, Sweden
| | - Vijay Mishra
- School of Pharmaceutical Sciences, Lovely Professional University, Phagwara 144411, Punjab, India
| | - Saurabh Satija
- School of Pharmaceutical Sciences, Lovely Professional University, Phagwara 144411, Punjab, India
| | - Nitin B Charbe
- Department of Pharmaceutical Sciences, Irma Lerma Rangel College of Pharmacy, Texas A&M Health Science Center, Kingsville, TX 78363, USA
| | - Ángel Serrano-Aroca
- Biomaterials and Bioengineering Lab, Translational Research Centre San Alberto Magno, Catholic University of Valencia San Vicente Mártir, C/Guillem de Castro 94, 46001 Valencia, Spain
| | - Bojlul Bahar
- Nutrition Sciences and Applied Food Safety Studies, Research Centre for Global Development, School of Sport & Health Sciences, University of Central Lancashire, Preston, PR1 2HE, UK
| | - Kazuo Takayama
- Center for IPS Cell Research and Application, Kyoto University, Kyoto, 606-8397, Japan
| | - Rohit Goyal
- Neuropharmacology Laboratory, School of Pharmaceutical Sciences, Shoolini University, Post Box No. 9, Solan, Himachal Pradesh 173212, India
| | - Amit Bhatia
- Department of Pharmaceutical Sciences and Technology, Maharaja Ranjit Singh Punjab Technical University, Punjab 151001, India
| | - Abdulmajeed G Almutary
- Department of Medical Biotechnology, College of Applied Medical Sciences, Qassim University, Saudi Arabia
| | - Abdullah M Alnuqaydan
- Department of Medical Biotechnology, College of Applied Medical Sciences, Qassim University, Saudi Arabia
| | - Yachana Mishra
- Shri Shakti Degree College, Sankhahari, Ghatampur 209206, India
| | - Poonam Negi
- Shoolini University of Biotechnology and Management Sciences, Solan 173 212, India
| | - Aaron Courtney
- School of Pharmacy and Pharmaceutical Sciences, Ulster University, Coleraine, County Londonderry, BT52 1SA, Northern Ireland, United Kingdom
| | - Paul A McCarron
- School of Pharmacy and Pharmaceutical Sciences, Ulster University, Coleraine, County Londonderry, BT52 1SA, Northern Ireland, United Kingdom
| | - Hamid A Bakshi
- School of Pharmacy and Pharmaceutical Sciences, Ulster University, Coleraine, County Londonderry, BT52 1SA, Northern Ireland, United Kingdom
| | - Murtaza M Tambuwala
- School of Pharmacy and Pharmaceutical Sciences, Ulster University, Coleraine, County Londonderry, BT52 1SA, Northern Ireland, United Kingdom
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Chauvière L. Early cognitive comorbidities before disease onset: A common symptom towards prevention of related brain diseases? Heliyon 2022; 8:e12259. [PMID: 36590531 PMCID: PMC9800323 DOI: 10.1016/j.heliyon.2022.e12259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 12/01/2022] [Accepted: 12/02/2022] [Indexed: 12/15/2022] Open
Abstract
Brain diseases are very heterogeneous; however they also display multiple common risk factors and comorbidities. With a paucity of disease-modifying therapies, prevention became a health priority. Towards prevention, one strategy is to focus on similar symptoms of brain diseases occurring before disease onset. Cognitive deficits are a promising candidate as they occur across brain diseases before disease onset. Based on recent research, this review highlights the similarity of brain diseases and discusses how early cognitive deficits can be exploited to tackle disease prevention. After briefly introducing common risk factors, I review common comorbidities across brain diseases, with a focus on cognitive deficits before disease onset, reporting both experimental and clinical findings. Next, I describe network abnormalities associated with early cognitive deficits and discuss how these abnormalities can be targeted to prevent disease onset. A scenario on brain disease etiology with the idea that early cognitive deficits may constitute a common symptom of brain diseases is proposed.
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14
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Wang N, Langfelder P, Stricos M, Ramanathan L, Richman JB, Vaca R, Plascencia M, Gu X, Zhang S, Tamai TK, Zhang L, Gao F, Ouk K, Lu X, Ivanov LV, Vogt TF, Lu QR, Morton AJ, Colwell CS, Aaronson JS, Rosinski J, Horvath S, Yang XW. Mapping brain gene coexpression in daytime transcriptomes unveils diurnal molecular networks and deciphers perturbation gene signatures. Neuron 2022; 110:3318-3338.e9. [PMID: 36265442 PMCID: PMC9665885 DOI: 10.1016/j.neuron.2022.09.028] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 08/16/2022] [Accepted: 09/22/2022] [Indexed: 01/07/2023]
Abstract
Brain tissue transcriptomes may be organized into gene coexpression networks, but their underlying biological drivers remain incompletely understood. Here, we undertook a large-scale transcriptomic study using 508 wild-type mouse striatal tissue samples dissected exclusively in the afternoons to define 38 highly reproducible gene coexpression modules. We found that 13 and 11 modules are enriched in cell-type and molecular complex markers, respectively. Importantly, 18 modules are highly enriched in daily rhythmically expressed genes that peak or trough with distinct temporal kinetics, revealing the underlying biology of striatal diurnal gene networks. Moreover, the diurnal coexpression networks are a dominant feature of daytime transcriptomes in the mouse cortex. We next employed the striatal coexpression modules to decipher the striatal transcriptomic signatures from Huntington's disease models and heterozygous null mice for 52 genes, uncovering novel functions for Prkcq and Kdm4b in oligodendrocyte differentiation and bipolar disorder-associated Trank1 in regulating anxiety-like behaviors and nocturnal locomotion.
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Affiliation(s)
- Nan Wang
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA; UCLA Brain Research Institute, University of California, Los Angeles, Los Angeles, CA, USA
| | - Peter Langfelder
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA; UCLA Brain Research Institute, University of California, Los Angeles, Los Angeles, CA, USA
| | - Matthew Stricos
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA; UCLA Brain Research Institute, University of California, Los Angeles, Los Angeles, CA, USA
| | - Lalini Ramanathan
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA; UCLA Brain Research Institute, University of California, Los Angeles, Los Angeles, CA, USA
| | - Jeffrey B Richman
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA; UCLA Brain Research Institute, University of California, Los Angeles, Los Angeles, CA, USA
| | - Raymond Vaca
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA; UCLA Brain Research Institute, University of California, Los Angeles, Los Angeles, CA, USA
| | - Mary Plascencia
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA; UCLA Brain Research Institute, University of California, Los Angeles, Los Angeles, CA, USA
| | - Xiaofeng Gu
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA; UCLA Brain Research Institute, University of California, Los Angeles, Los Angeles, CA, USA
| | - Shasha Zhang
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA; UCLA Brain Research Institute, University of California, Los Angeles, Los Angeles, CA, USA
| | - T Katherine Tamai
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA; UCLA Brain Research Institute, University of California, Los Angeles, Los Angeles, CA, USA
| | - Liguo Zhang
- Department of Pediatrics, Division of Experimental Hematology and Cancer Biology, Brain Tumor Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Fuying Gao
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Koliane Ouk
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| | - Xiang Lu
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | | | - Thomas F Vogt
- CHDI Management /CHDI Foundation, Princeton, NJ, USA
| | - Qing Richard Lu
- Department of Pediatrics, Division of Experimental Hematology and Cancer Biology, Brain Tumor Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - A Jennifer Morton
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| | - Christopher S Colwell
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA; UCLA Brain Research Institute, University of California, Los Angeles, Los Angeles, CA, USA
| | | | - Jim Rosinski
- CHDI Management /CHDI Foundation, Princeton, NJ, USA
| | - Steve Horvath
- Department of Human Genetics, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA, USA
| | - X William Yang
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
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15
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Tielke A, Martins H, Pelzl MA, Maaser-Hecker A, David FS, Reinbold CS, Streit F, Sirignano L, Schwarz M, Vedder H, Kammerer-Ciernioch J, Albus M, Borrmann-Hassenbach M, Hautzinger M, Hünten K, Degenhardt F, Fischer SB, Beins EC, Herms S, Hoffmann P, Schulze TG, Witt SH, Rietschel M, Cichon S, Nöthen MM, Schratt G, Forstner AJ. Genetic and functional analyses implicate microRNA 499A in bipolar disorder development. Transl Psychiatry 2022; 12:437. [PMID: 36207305 PMCID: PMC9547016 DOI: 10.1038/s41398-022-02176-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 08/10/2022] [Accepted: 09/12/2022] [Indexed: 11/09/2022] Open
Abstract
Bipolar disorder (BD) is a complex mood disorder with a strong genetic component. Recent studies suggest that microRNAs contribute to psychiatric disorder development. In BD, specific candidate microRNAs have been implicated, in particular miR-137, miR-499a, miR-708, miR-1908 and miR-2113. The aim of the present study was to determine the contribution of these five microRNAs to BD development. For this purpose, we performed: (i) gene-based tests of the five microRNA coding genes, using data from a large genome-wide association study of BD; (ii) gene-set analyses of predicted, brain-expressed target genes of the five microRNAs; (iii) resequencing of the five microRNA coding genes in 960 BD patients and 960 controls and (iv) in silico and functional studies for selected variants. Gene-based tests revealed a significant association with BD for MIR499A, MIR708, MIR1908 and MIR2113. Gene-set analyses revealed a significant enrichment of BD associations in the brain-expressed target genes of miR-137 and miR-499a-5p. Resequencing identified 32 distinct rare variants (minor allele frequency < 1%), all of which showed a non-significant numerical overrepresentation in BD patients compared to controls (p = 0.214). Seven rare variants were identified in the predicted stem-loop sequences of MIR499A and MIR2113. These included rs142927919 in MIR2113 (pnom = 0.331) and rs140486571 in MIR499A (pnom = 0.297). In silico analyses predicted that rs140486571 might alter the miR-499a secondary structure. Functional analyses showed that rs140486571 significantly affects miR-499a processing and expression. Our results suggest that MIR499A dysregulation might contribute to BD development. Further research is warranted to elucidate the contribution of the MIR499A regulated network to BD susceptibility.
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Affiliation(s)
- Aileen Tielke
- grid.10388.320000 0001 2240 3300Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany ,Salus Clinic Hürth, Hürth, Germany
| | - Helena Martins
- grid.5801.c0000 0001 2156 2780Lab of Systems Neuroscience, Department of Health Science and Technology, Institute for Neuroscience, Swiss Federal Institute of Technology ETH & Neuroscience Center Zurich (ZNZ), Zurich, Switzerland
| | - Michael A. Pelzl
- grid.10253.350000 0004 1936 9756Institute for Physiological Chemistry, Philipps-University Marburg, Marburg, Germany ,grid.10392.390000 0001 2190 1447Present Address: Clinic for Psychiatry and Psychotherapy, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Anna Maaser-Hecker
- grid.10388.320000 0001 2240 3300Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Friederike S. David
- grid.10388.320000 0001 2240 3300Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Céline S. Reinbold
- grid.5510.10000 0004 1936 8921Center for Lifespan Changes in Brain and Cognition (LCBC), Department of Psychology, University of Oslo, Oslo, Norway ,grid.6612.30000 0004 1937 0642Department of Biomedicine, University of Basel, Basel, Switzerland ,grid.410567.1Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Fabian Streit
- grid.7700.00000 0001 2190 4373Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Lea Sirignano
- grid.7700.00000 0001 2190 4373Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | | | | | | | - Margot Albus
- grid.419834.30000 0001 0690 3065Isar Amper Klinikum München Ost, kbo, Haar, Germany
| | | | - Martin Hautzinger
- grid.10392.390000 0001 2190 1447Department of Psychology, Clinical Psychology and Psychotherapy, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Karola Hünten
- grid.10388.320000 0001 2240 3300Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Franziska Degenhardt
- grid.10388.320000 0001 2240 3300Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany ,grid.410718.b0000 0001 0262 7331Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Duisburg, Germany
| | - Sascha B. Fischer
- grid.6612.30000 0004 1937 0642Department of Biomedicine, University of Basel, Basel, Switzerland ,grid.410567.1Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Eva C. Beins
- grid.10388.320000 0001 2240 3300Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Stefan Herms
- grid.10388.320000 0001 2240 3300Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany ,grid.6612.30000 0004 1937 0642Department of Biomedicine, University of Basel, Basel, Switzerland ,grid.410567.1Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Per Hoffmann
- grid.10388.320000 0001 2240 3300Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany ,grid.6612.30000 0004 1937 0642Department of Biomedicine, University of Basel, Basel, Switzerland ,grid.410567.1Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Thomas G. Schulze
- grid.7700.00000 0001 2190 4373Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany ,grid.5252.00000 0004 1936 973XInstitute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany ,grid.411984.10000 0001 0482 5331Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
| | - Stephanie H. Witt
- grid.7700.00000 0001 2190 4373Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany ,grid.7700.00000 0001 2190 4373Center for Innovative Psychiatry and Psychotherapy Research, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Marcella Rietschel
- grid.7700.00000 0001 2190 4373Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Sven Cichon
- grid.10388.320000 0001 2240 3300Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany ,grid.6612.30000 0004 1937 0642Department of Biomedicine, University of Basel, Basel, Switzerland ,grid.410567.1Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland ,grid.8385.60000 0001 2297 375XInstitute of Neuroscience and Medicine (INM-1), Research Center Jülich, Jülich, Germany
| | - Markus M. Nöthen
- grid.10388.320000 0001 2240 3300Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Gerhard Schratt
- grid.5801.c0000 0001 2156 2780Lab of Systems Neuroscience, Department of Health Science and Technology, Institute for Neuroscience, Swiss Federal Institute of Technology ETH & Neuroscience Center Zurich (ZNZ), Zurich, Switzerland
| | - Andreas J. Forstner
- grid.10388.320000 0001 2240 3300Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany ,grid.8385.60000 0001 2297 375XInstitute of Neuroscience and Medicine (INM-1), Research Center Jülich, Jülich, Germany ,grid.10253.350000 0004 1936 9756Centre for Human Genetics, University of Marburg, Marburg, Germany
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16
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Correlations between peripheral levels of inflammatory mediators and frontolimbic structures in bipolar disorder: an exploratory analysis. CNS Spectr 2022; 27:639-644. [PMID: 34121653 PMCID: PMC8669052 DOI: 10.1017/s1092852921000596] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
BACKGROUND Altered peripheral immune/inflammatory system and brain volumetric changes have been implicated in the pathophysiology of bipolar disorder (BD). This study aimed to evaluate how peripheral levels of cytokines are related to volumetric brain changes in euthymic patients with BD. METHODS Euthymic patients with BD (n = 21) and healthy controls (n = 22) were enrolled in this exploratory study. Blood samples were collected on the same day of clinical assessment and neuroimaging. Cytokines were measured through cytometric bead array method. Neuroimaging data were acquired using a sagittal three-dimensional magnetic resonance imaging T1-weighted fast field echo sequence and was processed using FreeSurfer. RESULTS Compared to controls, BD patients had significantly lower volumes in the cingulate, medial-orbitofrontal (MOF) and parahippocampal regions. We found a negative correlation between right MOF volume and interferon-gamma levels (β = -0.431, P = .049) and a positive correlation between interleukin-10 levels and left posterior cingulate volume (β = 0.457, P = .048). CONCLUSION Our results support the involvement of inflammatory pathways in structural brain changes in BD.
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17
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Genetic Polymorphisms in miR-137 and Its Target Genes, TCF4 and CACNA1C, Contribute to the Risk of Bipolar Disorder: A Preliminary Case-Control Study and Bioinformatics Analysis. DISEASE MARKERS 2022; 2022:1886658. [PMID: 36193501 PMCID: PMC9526595 DOI: 10.1155/2022/1886658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Accepted: 09/02/2022] [Indexed: 11/21/2022]
Abstract
Accumulating evidence has suggested that miR-137 and its target genes, CACNA1C, and TCF4, are amongst the most robustly implicated genes in psychiatric disorders. This preliminary study is aimed at investigating the effects of genetic variations in miR-137 (rs1625579A/C), TCF4 (rs1261084C/T), and CACNA1C (rs10774053A/G and rs10466907G/T) on BD susceptibility. We recruited 252 BD patients and 213 healthy subjects as the control group. Genotyping was performed using PCR-RFLP and ARMS-PCR methods. Enhanced risk of BD was found under the codominant homozygous, dominant, and allelic models of TCF4 rs1261084C/T, codominant homozygous and allelic models of CACNA1C rs10466907G/T polymorphisms, as well as codominant homozygous, dominant, recessive, and allelic models of the CACNA1C rs10774053A/G. Moreover, both TT/AG/GT/AA and TT/GG/GT/AC genotype combinations strongly increased the risk of BD in the participants. The bioinformatics analyses revealed that rs1261084C/T and rs10466907G/T created and disrupted binding sites of some miRNAs in the 3′-untranslated region of TCF4 and CACNA1C genes. In contrast, the rs10774053A/G created a new binding site for a major splicing factor and might have an effective role in the function of the CACNA1C protein. We have found that all the studied SNPs are positively associated with BD susceptibility. Replicated studies on different ethnicities are required to confirm these findings.
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18
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de Marco A, Scozia G, Manfredi L, Conversi D. A Systematic Review of Genetic Polymorphisms Associated with Bipolar Disorder Comorbid to Substance Abuse. Genes (Basel) 2022; 13:genes13081303. [PMID: 35893041 PMCID: PMC9330731 DOI: 10.3390/genes13081303] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Revised: 07/20/2022] [Accepted: 07/21/2022] [Indexed: 01/09/2023] Open
Abstract
It is currently unknown which genetic polymorphisms are involved in substance use disorder (SUD) comorbid with bipolar disorder (BD). The research on polymorphisms in BD comorbid with SUD (BD + SUD) is summarized in this systematic review. We looked for case-control studies that genetically compared adults and adolescents with BD and SUD, healthy controls, and BD without SUD. PRISMA was used to create our protocol, which is PROSPERO-registered (identification: CRD4221270818). The following bibliographic databases were searched indefinitely until December 2021 to identify potentially relevant articles: PubMed, PsycINFO, Scopus, and Web of Science. This systematic review, after the qualitative analysis of the study selection, included 17 eligible articles. In the selected studies, 66 polymorphisms in 29 genes were investigated. The present work delivers a group of potentially valuable genetic polymorphisms associated with BD + SUD: rs11600996 (ARNTL), rs228642/rs228682/rs2640909 (PER3), PONQ192R (PON1), rs945032 (BDKRB2), rs1131339 (NR4A3), and rs6971 (TSPO). It is important to note that none of those findings have been confirmed by two or more studies; thus, we believe that all the polymorphisms identified in this review require additional evidence to be confirmed.
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Affiliation(s)
- Adriano de Marco
- Department of Psychology, Università degli Studi di Roma ‘La Sapienza’, 00185 Rome, Italy; (A.d.M.); (G.S.); (L.M.)
| | - Gabriele Scozia
- Department of Psychology, Università degli Studi di Roma ‘La Sapienza’, 00185 Rome, Italy; (A.d.M.); (G.S.); (L.M.)
- PhD Program in Behavioral Neuroscience, Università degli Studi di Roma ‘La Sapienza’, 00185 Rome, Italy
| | - Lucia Manfredi
- Department of Psychology, Università degli Studi di Roma ‘La Sapienza’, 00185 Rome, Italy; (A.d.M.); (G.S.); (L.M.)
| | - David Conversi
- Department of Psychology, Università degli Studi di Roma ‘La Sapienza’, 00185 Rome, Italy; (A.d.M.); (G.S.); (L.M.)
- Correspondence:
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19
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Mokhtari A, Porte B, Belzeaux R, Etain B, Ibrahim EC, Marie-Claire C, Lutz PE, Delahaye-Duriez A. The molecular pathophysiology of mood disorders: From the analysis of single molecular layers to multi-omic integration. Prog Neuropsychopharmacol Biol Psychiatry 2022; 116:110520. [PMID: 35104608 DOI: 10.1016/j.pnpbp.2022.110520] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Revised: 01/22/2022] [Accepted: 01/22/2022] [Indexed: 12/14/2022]
Abstract
Next-generation sequencing now enables the rapid and affordable production of reliable biological data at multiple molecular levels, collectively referred to as "omics". To maximize the potential for discovery, computational biologists have created and adapted integrative multi-omic analytical methods. When applied to diseases with traceable pathophysiology such as cancer, these new algorithms and statistical approaches have enabled the discovery of clinically relevant molecular mechanisms and biomarkers. In contrast, these methods have been much less applied to the field of molecular psychiatry, although diagnostic and prognostic biomarkers are similarly needed. In the present review, we first briefly summarize main findings from two decades of studies that investigated single molecular processes in relation to mood disorders. Then, we conduct a systematic review of multi-omic strategies that have been proposed and used more recently. We also list databases and types of data available to researchers for future work. Finally, we present the newest methodologies that have been employed for multi-omics integration in other medical fields, and discuss their potential for molecular psychiatry studies.
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Affiliation(s)
- Amazigh Mokhtari
- NeuroDiderot, Inserm U1141, Université de Paris, F-75019 Paris, France
| | - Baptiste Porte
- NeuroDiderot, Inserm U1141, Université de Paris, F-75019 Paris, France
| | - Raoul Belzeaux
- Aix Marseille Université CNRS, Institut de Neurosciences de la Timone, F-13005 Marseille, France; Fondation FondaMental, F-94000 Créteil, France; Assistance Publique Hôpitaux de Marseille, Pôle de psychiatrie, pédopsychiatrie et addictologie, F-13005 Marseille, France
| | - Bruno Etain
- Assistance Publique des Hôpitaux de Paris, GHU Lariboisière-Saint Louis-Fernand Widal, DMU Neurosciences, Département de psychiatrie et de Médecine Addictologique, F-75010 Paris, France; Université de Paris, INSERM UMR-S 1144, Optimisation thérapeutique en neuropsychopharmacologie, OTeN, F-75006 Paris, France
| | - El Cherif Ibrahim
- Aix Marseille Université CNRS, Institut de Neurosciences de la Timone, F-13005 Marseille, France
| | - Cynthia Marie-Claire
- Université de Paris, INSERM UMR-S 1144, Optimisation thérapeutique en neuropsychopharmacologie, OTeN, F-75006 Paris, France
| | - Pierre-Eric Lutz
- Centre National de la Recherche Scientifique, Université de Strasbourg, Fédération de Médecine Translationnelle de Strasbourg, Institut des Neurosciences Cellulaires et Intégratives UPR3212, F-67000 Strasbourg, France; Douglas Mental Health University Institute, McGill University, QC H4H 1R3 Montréal, Canada.
| | - Andrée Delahaye-Duriez
- NeuroDiderot, Inserm U1141, Université de Paris, F-75019 Paris, France; Assistance Publique des Hôpitaux de Paris, Unité de médecine génomique, Département BioPhaReS, Hôpital Jean Verdier, Hôpitaux Universitaires de Paris Seine Saint Denis, F-93140 Bondy, France; Université Sorbonne Paris Nord, F-93000 Bobigny, France.
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Chen R, Yang Z, Liu J, Cai X, Huo Y, Zhang Z, Li M, Chang H, Luo XJ. Functional genomic analysis delineates regulatory mechanisms of GWAS-identified bipolar disorder risk variants. Genome Med 2022; 14:53. [PMID: 35590387 PMCID: PMC9121601 DOI: 10.1186/s13073-022-01057-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 05/11/2022] [Indexed: 01/23/2023] Open
Abstract
Background Genome-wide association studies (GWASs) have identified multiple risk loci for bipolar disorder (BD). However, pinpointing functional (or causal) variants in the reported risk loci and elucidating their regulatory mechanisms remain challenging. Methods We first integrated chromatin immunoprecipitation sequencing (ChIP-Seq) data from human brain tissues (or neuronal cell lines) and position weight matrix (PWM) data to identify functional single-nucleotide polymorphisms (SNPs). Then, we verified the regulatory effects of these transcription factor (TF) binding–disrupting SNPs (hereafter referred to as “functional SNPs”) through a series of experiments, including reporter gene assays, allele-specific expression (ASE) analysis, TF knockdown, CRISPR/Cas9-mediated genome editing, and expression quantitative trait loci (eQTL) analysis. Finally, we overexpressed PACS1 (whose expression was most significantly associated with the identified functional SNPs rs10896081 and rs3862386) in mouse primary cortical neurons to investigate if PACS1 affects dendritic spine density. Results We identified 16 functional SNPs (in 9 risk loci); these functional SNPs disrupted the binding of 7 TFs, for example, CTCF and REST binding was frequently disrupted. We then identified the potential target genes whose expression in the human brain was regulated by these functional SNPs through eQTL analysis. Of note, we showed dysregulation of some target genes of the identified TF binding–disrupting SNPs in BD patients compared with controls, and overexpression of PACS1 reduced the density of dendritic spines, revealing the possible biological mechanisms of these functional SNPs in BD. Conclusions Our study identifies functional SNPs in some reported risk loci and sheds light on the regulatory mechanisms of BD risk variants. Further functional characterization and mechanistic studies of these functional SNPs and candidate genes will help to elucidate BD pathogenesis and develop new therapeutic approaches and drugs. Supplementary Information The online version contains supplementary material available at 10.1186/s13073-022-01057-3.
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Affiliation(s)
- Rui Chen
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650223, China.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, 650204, China
| | - Zhihui Yang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650223, China.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, 650204, China
| | - Jiewei Liu
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650223, China
| | - Xin Cai
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650223, China.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, 650204, China
| | - Yongxia Huo
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650223, China
| | - Zhijun Zhang
- Department of Neurology, Affiliated Zhongda Hospital, Southeast University, Nanjing, Jiangsu, 210096, China.,Key Laboratory of Developmental Genes and Human Disease of Ministry of Education, Southeast University, Nanjing, Jiangsu, 210096, China
| | - Ming Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650223, China.
| | - Hong Chang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650223, China.
| | - Xiong-Jian Luo
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650223, China. .,Department of Neurology, Affiliated Zhongda Hospital, Southeast University, Nanjing, Jiangsu, 210096, China. .,Zhongda Hospital, School of Life Sciences and Technology, Advanced Institute for Life and Health, Southeast University, Nanjing, Jiangsu, 210096, China.
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21
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Leung RF, George AM, Roussel EM, Faux MC, Wigle JT, Eisenstat DD. Genetic Regulation of Vertebrate Forebrain Development by Homeobox Genes. Front Neurosci 2022; 16:843794. [PMID: 35546872 PMCID: PMC9081933 DOI: 10.3389/fnins.2022.843794] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 03/14/2022] [Indexed: 01/19/2023] Open
Abstract
Forebrain development in vertebrates is regulated by transcription factors encoded by homeobox, bHLH and forkhead gene families throughout the progressive and overlapping stages of neural induction and patterning, regional specification and generation of neurons and glia from central nervous system (CNS) progenitor cells. Moreover, cell fate decisions, differentiation and migration of these committed CNS progenitors are controlled by the gene regulatory networks that are regulated by various homeodomain-containing transcription factors, including but not limited to those of the Pax (paired), Nkx, Otx (orthodenticle), Gsx/Gsh (genetic screened), and Dlx (distal-less) homeobox gene families. This comprehensive review outlines the integral role of key homeobox transcription factors and their target genes on forebrain development, focused primarily on the telencephalon. Furthermore, links of these transcription factors to human diseases, such as neurodevelopmental disorders and brain tumors are provided.
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Affiliation(s)
- Ryan F. Leung
- Murdoch Children’s Research Institute, The Royal Children’s Hospital Melbourne, Parkville, VIC, Australia
- Department of Paediatrics, University of Melbourne, Parkville, VIC, Australia
| | - Ankita M. George
- Murdoch Children’s Research Institute, The Royal Children’s Hospital Melbourne, Parkville, VIC, Australia
| | - Enola M. Roussel
- Murdoch Children’s Research Institute, The Royal Children’s Hospital Melbourne, Parkville, VIC, Australia
| | - Maree C. Faux
- Murdoch Children’s Research Institute, The Royal Children’s Hospital Melbourne, Parkville, VIC, Australia
- Department of Paediatrics, University of Melbourne, Parkville, VIC, Australia
- Department of Surgery, Royal Melbourne Hospital, The University of Melbourne, Parkville, VIC, Australia
| | - Jeffrey T. Wigle
- Department of Biochemistry and Medical Genetics, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
- Institute of Cardiovascular Sciences, St. Boniface Hospital Albrechtsen Research Centre, Winnipeg, MB, Canada
| | - David D. Eisenstat
- Murdoch Children’s Research Institute, The Royal Children’s Hospital Melbourne, Parkville, VIC, Australia
- Department of Paediatrics, University of Melbourne, Parkville, VIC, Australia
- Department of Medical Genetics, University of Alberta, Edmonton, AB, Canada
- Department of Pediatrics, University of Alberta, Edmonton, AB, Canada
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22
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Kung PL, Chou TW, Lindman M, Chang NP, Estevez I, Buckley BD, Atkins C, Daniels BP. Zika virus-induced TNF-α signaling dysregulates expression of neurologic genes associated with psychiatric disorders. J Neuroinflammation 2022; 19:100. [PMID: 35462541 PMCID: PMC9036774 DOI: 10.1186/s12974-022-02460-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2021] [Accepted: 04/07/2022] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Zika virus (ZIKV) is an emerging flavivirus of global concern. ZIKV infection of the central nervous system has been linked to a variety of clinical syndromes, including microcephaly in fetuses and rare but serious neurologic disease in adults. However, the potential for ZIKV to influence brain physiology and host behavior following apparently mild or subclinical infection is less well understood. Furthermore, though deficits in cognitive function are well-documented after recovery from neuroinvasive viral infection, the potential impact of ZIKV on other host behavioral domains has not been thoroughly explored. METHODS We used transcriptomic profiling, including unbiased gene ontology enrichment analysis, to assess the impact of ZIKV infection on gene expression in primary cortical neuron cultures. These studies were extended with molecular biological analysis of gene expression and inflammatory cytokine signaling. In vitro observations were further confirmed using established in vivo models of ZIKV infection in immunocompetent hosts. RESULTS Transcriptomic profiling of primary neuron cultures following ZIKV infection revealed altered expression of key genes associated with major psychiatric disorders, such as bipolar disorder and schizophrenia. Gene ontology enrichment analysis also revealed significant changes in gene expression associated with fundamental neurobiological processes, including neuronal development, neurotransmission, and others. These alterations to neurologic gene expression were also observed in the brain in vivo using several immunocompetent mouse models of ZIKV infection. Mechanistic studies identified TNF-α signaling via TNFR1 as a major regulatory mechanism controlling ZIKV-induced changes to neurologic gene expression. CONCLUSIONS Our studies reveal that cell-intrinsic innate immune responses to ZIKV infection profoundly shape neuronal transcriptional profiles, highlighting the need to further explore associations between ZIKV infection and disordered host behavioral states.
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Affiliation(s)
- Po-Lun Kung
- grid.430387.b0000 0004 1936 8796Department of Cell Biology and Neuroscience, Rutgers University, 604 Allison Road, Room B314, Piscataway, NJ 08854 USA
| | - Tsui-Wen Chou
- grid.430387.b0000 0004 1936 8796Department of Cell Biology and Neuroscience, Rutgers University, 604 Allison Road, Room B314, Piscataway, NJ 08854 USA
| | - Marissa Lindman
- grid.430387.b0000 0004 1936 8796Department of Cell Biology and Neuroscience, Rutgers University, 604 Allison Road, Room B314, Piscataway, NJ 08854 USA
| | - Nydia P. Chang
- grid.430387.b0000 0004 1936 8796Department of Cell Biology and Neuroscience, Rutgers University, 604 Allison Road, Room B314, Piscataway, NJ 08854 USA
| | - Irving Estevez
- grid.430387.b0000 0004 1936 8796Department of Cell Biology and Neuroscience, Rutgers University, 604 Allison Road, Room B314, Piscataway, NJ 08854 USA
| | - Benjamin D. Buckley
- grid.430387.b0000 0004 1936 8796Department of Cell Biology and Neuroscience, Rutgers University, 604 Allison Road, Room B314, Piscataway, NJ 08854 USA
| | - Colm Atkins
- grid.430387.b0000 0004 1936 8796Department of Cell Biology and Neuroscience, Rutgers University, 604 Allison Road, Room B314, Piscataway, NJ 08854 USA
| | - Brian P. Daniels
- grid.430387.b0000 0004 1936 8796Department of Cell Biology and Neuroscience, Rutgers University, 604 Allison Road, Room B314, Piscataway, NJ 08854 USA
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23
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Abstract
BACKGROUND To date, besides genome-wide association studies, a variety of other genetic analyses (e.g. polygenic risk scores, whole-exome sequencing and whole-genome sequencing) have been conducted, and a large amount of data has been gathered for investigating the involvement of common, rare and very rare types of DNA sequence variants in bipolar disorder. Also, non-invasive neuroimaging methods can be used to quantify changes in brain structure and function in patients with bipolar disorder. AIMS To provide a comprehensive assessment of genetic findings associated with bipolar disorder, based on the evaluation of different genomic approaches and neuroimaging studies. METHOD We conducted a PubMed search of all relevant literatures from the beginning to the present, by querying related search strings. RESULTS ANK3, CACNA1C, SYNE1, ODZ4 and TRANK1 are five genes that have been replicated as key gene candidates in bipolar disorder pathophysiology, through the investigated studies. The percentage of phenotypic variance explained by the identified variants is small (approximately 4.7%). Bipolar disorder polygenic risk scores are associated with other psychiatric phenotypes. The ENIGMA-BD studies show a replicable pattern of lower cortical thickness, altered white matter integrity and smaller subcortical volumes in bipolar disorder. CONCLUSIONS The low amount of explained phenotypic variance highlights the need for further large-scale investigations, especially among non-European populations, to achieve a more complete understanding of the genetic architecture of bipolar disorder and the missing heritability. Combining neuroimaging data with genetic data in large-scale studies might help researchers acquire a better knowledge of the engaged brain regions in bipolar disorder.
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Affiliation(s)
- Mojtaba Oraki Kohshour
- Institute of Psychiatric Phenomics and Genomics, University Hospital LMU Munich, Germany; and Department of Immunology, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Iran
| | - Sergi Papiol
- Institute of Psychiatric Phenomics and Genomics, University Hospital LMU Munich, Germany; and Department of Psychiatry and Psychotherapy, University Hospital LMU Munich, Germany
| | - Christopher R K Ching
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, USA
| | - Thomas G Schulze
- Institute of Psychiatric Phenomics and Genomics, University Hospital LMU Munich, Germany; and Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, USA
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24
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Meijer DH, Frias CP, Beugelink JW, Deurloo YN, Janssen BJC. Teneurin4 dimer structures reveal a calcium‐stabilized compact conformation supporting homomeric trans‐interactions. EMBO J 2022; 41:e107505. [PMID: 35099835 PMCID: PMC9058538 DOI: 10.15252/embj.2020107505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 12/20/2021] [Accepted: 12/22/2021] [Indexed: 11/18/2022] Open
Abstract
Establishment of correct synaptic connections is a crucial step during neural circuitry formation. The Teneurin family of neuronal transmembrane proteins promotes cell–cell adhesion via homophilic and heterophilic interactions, and is required for synaptic partner matching in the visual and hippocampal systems in vertebrates. It remains unclear how individual Teneurins form macromolecular cis‐ and trans‐synaptic protein complexes. Here, we present a 2.7 Å cryo‐EM structure of the dimeric ectodomain of human Teneurin4. The structure reveals a compact conformation of the dimer, stabilized by interactions mediated by the C‐rich, YD‐shell, and ABD domains. A 1.5 Å crystal structure of the C‐rich domain shows three conserved calcium binding sites, and thermal unfolding assays and SAXS‐based rigid‐body modeling demonstrate that the compactness and stability of Teneurin4 dimers are calcium‐dependent. Teneurin4 dimers form a more extended conformation in conditions that lack calcium. Cellular assays reveal that the compact cis‐dimer is compatible with homomeric trans‐interactions. Together, these findings support a role for teneurins as a scaffold for macromolecular complex assembly and the establishment of cis‐ and trans‐synaptic interactions to construct functional neuronal circuits.
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Affiliation(s)
- Dimphna H Meijer
- Department of Bionanoscience Kavli Institute of Nanoscience Delft University of Technology Delft The Netherlands
- Department of Chemistry Faculty of Science Structural Biochemistry Bijvoet Center for Biomolecular Research Utrecht University Utrecht The Netherlands
| | - Cátia P Frias
- Department of Bionanoscience Kavli Institute of Nanoscience Delft University of Technology Delft The Netherlands
| | - J Wouter Beugelink
- Department of Chemistry Faculty of Science Structural Biochemistry Bijvoet Center for Biomolecular Research Utrecht University Utrecht The Netherlands
| | - Yanthi N Deurloo
- Department of Bionanoscience Kavli Institute of Nanoscience Delft University of Technology Delft The Netherlands
| | - Bert J C Janssen
- Department of Chemistry Faculty of Science Structural Biochemistry Bijvoet Center for Biomolecular Research Utrecht University Utrecht The Netherlands
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25
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Lu H, Qiao J, Shao Z, Wang T, Huang S, Zeng P. A comprehensive gene-centric pleiotropic association analysis for 14 psychiatric disorders with GWAS summary statistics. BMC Med 2021; 19:314. [PMID: 34895209 PMCID: PMC8667366 DOI: 10.1186/s12916-021-02186-z] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Accepted: 11/10/2021] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Recent genome-wide association studies (GWASs) have revealed the polygenic nature of psychiatric disorders and discovered a few of single-nucleotide polymorphisms (SNPs) associated with multiple psychiatric disorders. However, the extent and pattern of pleiotropy among distinct psychiatric disorders remain not completely clear. METHODS We analyzed 14 psychiatric disorders using summary statistics available from the largest GWASs by far. We first applied the cross-trait linkage disequilibrium score regression (LDSC) to estimate genetic correlation between disorders. Then, we performed a gene-based pleiotropy analysis by first aggregating a set of SNP-level associations into a single gene-level association signal using MAGMA. From a methodological perspective, we viewed the identification of pleiotropic associations across the entire genome as a high-dimensional problem of composite null hypothesis testing and utilized a novel method called PLACO for pleiotropy mapping. We ultimately implemented functional analysis for identified pleiotropic genes and used Mendelian randomization for detecting causal association between these disorders. RESULTS We confirmed extensive genetic correlation among psychiatric disorders, based on which these disorders can be grouped into three diverse categories. We detected a large number of pleiotropic genes including 5884 associations and 2424 unique genes and found that differentially expressed pleiotropic genes were significantly enriched in pancreas, liver, heart, and brain, and that the biological process of these genes was remarkably enriched in regulating neurodevelopment, neurogenesis, and neuron differentiation, offering substantial evidence supporting the validity of identified pleiotropic loci. We further demonstrated that among all the identified pleiotropic genes there were 342 unique ones linked with 6353 drugs with drug-gene interaction which can be classified into distinct types including inhibitor, agonist, blocker, antagonist, and modulator. We also revealed causal associations among psychiatric disorders, indicating that genetic overlap and causality commonly drove the observed co-existence of these disorders. CONCLUSIONS Our study is among the first large-scale effort to characterize gene-level pleiotropy among a greatly expanded set of psychiatric disorders and provides important insight into shared genetic etiology underlying these disorders. The findings would inform psychiatric nosology, identify potential neurobiological mechanisms predisposing to specific clinical presentations, and pave the way to effective drug targets for clinical treatment.
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Affiliation(s)
- Haojie Lu
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
| | - Jiahao Qiao
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
| | - Zhonghe Shao
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
| | - Ting Wang
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
| | - Shuiping Huang
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
- Center for Medical Statistics and Data Analysis, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
- Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
| | - Ping Zeng
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China.
- Center for Medical Statistics and Data Analysis, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China.
- Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China.
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26
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Abstract
Bipolar disorder (BD) is a complex group of neuropsychiatric disorders, typically comprising both manic and depressive episodes. The underlying neuropathology of BD is not established, but a consistent feature is progressive thinning of cortical grey matter (GM) and white matter (WM) in specific pathways, due to loss of subpopulations of neurons and astrocytes, with accompanying disturbance of connectivity. Dysregulation of astrocyte homeostatic functions are implicated in BD, notably regulation of glutamate, calcium signalling, circadian rhythms and metabolism. Furthermore, the beneficial therapeutic effects of the frontline treatments for BD are due at least in part to their positive actions on astrocytes, notably lithium, valproic acid (VPA) and carbamazepine (CBZ), as well as antidepressants and antipsychotics that are used in the management of this disorder. Treatments for BD are ineffective in a large proportion of cases, and astrocytes represent new therapeutic targets that can also serve as biomarkers of illness progression and treatment responsiveness in BD.
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27
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Overs BJ, Roberts G, Ridgway K, Toma C, Hadzi-Pavlovic D, Wilcox HC, Hulvershorn LA, Nurnberger JI, Schofield PR, Mitchell PB, Fullerton JM. Effects of polygenic risk for suicide attempt and risky behavior on brain structure in young people with familial risk of bipolar disorder. Am J Med Genet B Neuropsychiatr Genet 2021; 186:485-507. [PMID: 34726322 DOI: 10.1002/ajmg.b.32879] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 08/27/2021] [Accepted: 10/11/2021] [Indexed: 01/11/2023]
Abstract
Bipolar disorder (BD) is associated with a 20-30-fold increased suicide risk compared to the general population. First-degree relatives of BD patients show inflated rates of psychopathology including suicidal behaviors. As reliable biomarkers of suicide attempts (SA) are lacking, we examined associations between suicide-related polygenic risk scores (PRSs)-a quantitative index of genomic risk-and variability in brain structures implicated in SA. Participants (n = 206; aged 12-30 years) were unrelated individuals of European ancestry and comprised three groups: 41 BD cases, 96 BD relatives ("high risk"), and 69 controls. Genotyping employed PsychArray, followed by imputation. Three PRSs were computed using genome-wide association data for SA in BD (SA-in-BD), SA in major depressive disorder (SA-in-MDD) (Mullins et al., 2019, The American Journal of Psychiatry, 176(8), 651-660), and risky behavior (Karlsson Linnér et al., 2019, Nature Genetics, 51(2), 245-257). Structural magnetic resonance imaging processing employed FreeSurfer v5.3.0. General linear models were constructed using 32 regions-of-interest identified from suicide neuroimaging literature, with false-discovery-rate correction. SA-in-MDD and SA-in-BD PRSs negatively predicted parahippocampal thickness, with the latter association modified by group membership. SA-in-BD and Risky Behavior PRSs inversely predicted rostral and caudal anterior cingulate structure, respectively, with the latter effect driven by the "high risk" group. SA-in-MDD and SA-in-BD PRSs positively predicted cuneus structure, irrespective of group. This study demonstrated associations between PRSs for suicide-related phenotypes and structural variability in brain regions implicated in SA. Future exploration of extended PRSs, in conjunction with a range of biological, phenotypic, environmental, and experiential data in high risk populations, may inform predictive models for suicidal behaviors.
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Affiliation(s)
- Bronwyn J Overs
- Neuroscience Research Australia, Randwick, New South Wales, Australia
| | - Gloria Roberts
- School of Psychiatry, University of New South Wales, Kensington, New South Wales, Australia
| | - Kate Ridgway
- School of Psychiatry, University of New South Wales, Kensington, New South Wales, Australia
| | - Claudio Toma
- Neuroscience Research Australia, Randwick, New South Wales, Australia.,Centro de Biología Molecular "Severo Ochoa," Universidad Autónoma de Madrid/CSIC, Madrid, Spain
| | - Dusan Hadzi-Pavlovic
- School of Psychiatry, University of New South Wales, Kensington, New South Wales, Australia
| | - Holly C Wilcox
- Child Psychiatry and Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Leslie A Hulvershorn
- Department of Psychiatry, Institute of Psychiatric Research, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - John I Nurnberger
- Department of Psychiatry, Institute of Psychiatric Research, Indiana University School of Medicine, Indianapolis, Indiana, USA.,Department of Medical and Molecular Genetics, Indiana University, Indianapolis, Indiana, USA
| | - Peter R Schofield
- Neuroscience Research Australia, Randwick, New South Wales, Australia.,School of Medical Sciences, University of New South Wales, Kensington, New South Wales, Australia
| | - Philip B Mitchell
- School of Psychiatry, University of New South Wales, Kensington, New South Wales, Australia
| | - Janice M Fullerton
- Neuroscience Research Australia, Randwick, New South Wales, Australia.,School of Medical Sciences, University of New South Wales, Kensington, New South Wales, Australia
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28
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Paul P, Nadella RK, Sen S, Ithal D, Mahadevan J, Reddy Y C J, Jain S, Purushottam M, Viswanath B. Association study of BDNF Val66Met gene polymorphism with bipolar disorder and lithium treatment response in Indian population. J Psychopharmacol 2021; 35:1510-1516. [PMID: 34311608 DOI: 10.1177/02698811211032609] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
BACKGROUND The association of the Val66Met (rs6265) polymorphism in the brain-derived neurotrophic factor (BDNF) gene with bipolar disorder (BD) and response to lithium treatment has been suggested, though inconsistently. The considerable diversity of allele frequency across different populations contributes to this. There is no data from South Asia till date. Hence, we examined the association of this polymorphism in BD cases from India, and its association with lithium treatment response. METHODS BD patients (N = 301) were recruited from the clinical services of National Institute of Mental Health and Neurosciences (NIMHANS), India. Lithium treatment response for 190 BD subjects was assessed using Alda scale by NIMH life charts. Patients with total score ⩾7 were defined as lithium responders (N = 115) and patients with score <7 were defined as lithium non-responders (N = 75). Healthy controls (N = 484) with no lifetime history of neuropsychiatric illness or a family history of mental illness were recruited as control set. Genotyping was performed by TaqMan genotyping assay. RESULTS Genotype and allele frequency of BDNF Val66Met SNP was significantly different (χ2 = 7.78, p = 0.02) in cases compared to controls, and the Val(G) allele was more frequent (χ2 = 7.08, p = 0.008) in BD patients. However, no significant difference is noted in genotype or allele frequencies of this polymorphism between the lithium responders and non-responders. CONCLUSIONS The Val(G) allele of BDNF Val66Met polymorphism is associated with risk of BD in this sample, but it is not related to response to lithium.
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Affiliation(s)
- Pradip Paul
- Molecular Genetics Laboratory, Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
| | - Ravi Kumar Nadella
- Molecular Genetics Laboratory, Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India.,Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
| | - Somdatta Sen
- Molecular Genetics Laboratory, Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
| | - Dhruva Ithal
- Molecular Genetics Laboratory, Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India.,Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
| | - Jayant Mahadevan
- Molecular Genetics Laboratory, Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India.,Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
| | - Janardhan Reddy Y C
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
| | - Sanjeev Jain
- Molecular Genetics Laboratory, Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India.,Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
| | - Meera Purushottam
- Molecular Genetics Laboratory, Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
| | - Biju Viswanath
- Molecular Genetics Laboratory, Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India.,Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
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29
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Ostrom KF, LaVigne JE, Brust TF, Seifert R, Dessauer CW, Watts VJ, Ostrom RS. Physiological Roles of Mammalian Transmembrane Adenylyl Cyclase Isoforms. Physiol Rev 2021; 102:815-857. [PMID: 34698552 DOI: 10.1152/physrev.00013.2021] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Adenylyl cyclases (ACs) catalyze the conversion of ATP to the ubiquitous second messenger cAMP. Mammals possess nine isoforms of transmembrane ACs, dubbed AC1-9, that serve as major effector enzymes of G protein-coupled receptors. The transmembrane ACs display varying expression patterns across tissues, giving potential for them having a wide array of physiologic roles. Cells express multiple AC isoforms, implying that ACs have redundant functions. Furthermore, all transmembrane ACs are activated by Gαs so it was long assumed that all ACs are activated by Gαs-coupled GPCRs. AC isoforms partition to different microdomains of the plasma membrane and form prearranged signaling complexes with specific GPCRs that contribute to cAMP signaling compartments. This compartmentation allows for a diversity of cellular and physiological responses by enabling unique signaling events to be triggered by different pools of cAMP. Isoform specific pharmacological activators or inhibitors are lacking for most ACs, making knockdown and overexpression the primary tools for examining the physiological roles of a given isoform. Much progress has been made in understanding the physiological effects mediated through individual transmembrane ACs. GPCR-AC-cAMP signaling pathways play significant roles in regulating functions of every cell and tissue, so understanding each AC isoform's role holds potential for uncovering new approaches for treating a vast array of pathophysiological conditions.
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Affiliation(s)
- Katrina F Ostrom
- W. M. Keck Science Department, Claremont McKenna College, Claremont, CA, United States
| | - Justin E LaVigne
- Department of Medicinal Chemistry and Molecular Pharmacology, Purdue University, West Lafayette, IN, United States
| | - Tarsis F Brust
- Department of Pharmaceutical Sciences, Palm Beach Atlantic University, West Palm Beach, FL, United States
| | - Roland Seifert
- Institute of Pharmacology, Hannover Medical School, Hannover, Germany
| | - Carmen W Dessauer
- Department of Integrative Biology and Pharmacology, McGovern Medical School, The University of Texas Health Sciences Center at Houston, Houston, Texas, United States
| | - Val J Watts
- Department of Medicinal Chemistry and Molecular Pharmacology, Purdue University, West Lafayette, IN, United States.,Purdue Institute for Drug Discovery, Purdue University, West Lafayette, IN, United States.,Purdue Institute for Integrative Neuroscience, Purdue University, West Lafayette, IN, United States
| | - Rennolds S Ostrom
- Department of Biomedical and Pharmaceutical Sciences, Chapman University School of Pharmacy, Irvine, CA, United States
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30
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Samoilova EM, Belopasov VV, Baklaushev VP. Transcription Factors of Direct Neuronal Reprogramming in Ontogenesis and Ex Vivo. Mol Biol 2021. [DOI: 10.1134/s0026893321040087] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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31
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O'Connell KS, Coombes BJ. Genetic contributions to bipolar disorder: current status and future directions. Psychol Med 2021; 51:2156-2167. [PMID: 33879273 PMCID: PMC8477227 DOI: 10.1017/s0033291721001252] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 03/12/2021] [Accepted: 03/19/2021] [Indexed: 12/12/2022]
Abstract
Bipolar disorder (BD) is a highly heritable mental disorder and is estimated to affect about 50 million people worldwide. Our understanding of the genetic etiology of BD has greatly increased in recent years with advances in technology and methodology as well as the adoption of international consortiums and large population-based biobanks. It is clear that BD is also highly heterogeneous and polygenic and shows substantial genetic overlap with other psychiatric disorders. Genetic studies of BD suggest that the number of associated loci is expected to substantially increase in larger future studies and with it, improved genetic prediction of the disorder. Still, a number of challenges remain to fully characterize the genetic architecture of BD. First among these is the need to incorporate ancestrally-diverse samples to move research away from a Eurocentric bias that has the potential to exacerbate health disparities already seen in BD. Furthermore, incorporation of population biobanks, registry data, and electronic health records will be required to increase the sample size necessary for continued genetic discovery, while increased deep phenotyping is necessary to elucidate subtypes within BD. Lastly, the role of rare variation in BD remains to be determined. Meeting these challenges will enable improved identification of causal variants for the disorder and also allow for equitable future clinical applications of both genetic risk prediction and therapeutic interventions.
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Affiliation(s)
- Kevin S. O'Connell
- Division of Mental Health and Addiction, NORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo University Hospital, 0407Oslo, Norway
| | - Brandon J. Coombes
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
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32
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Wang T, Lu H, Zeng P. Identifying pleiotropic genes for complex phenotypes with summary statistics from a perspective of composite null hypothesis testing. Brief Bioinform 2021; 23:6375058. [PMID: 34571531 DOI: 10.1093/bib/bbab389] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Revised: 08/06/2021] [Accepted: 08/28/2021] [Indexed: 12/13/2022] Open
Abstract
Pleiotropy has important implication on genetic connection among complex phenotypes and facilitates our understanding of disease etiology. Genome-wide association studies provide an unprecedented opportunity to detect pleiotropic associations; however, efficient pleiotropy test methods are still lacking. We here consider pleiotropy identification from a methodological perspective of high-dimensional composite null hypothesis and propose a powerful gene-based method called MAIUP. MAIUP is constructed based on the traditional intersection-union test with two sets of independent P-values as input and follows a novel idea that was originally proposed under the high-dimensional mediation analysis framework. The key improvement of MAIUP is that it takes the composite null nature of pleiotropy test into account by fitting a three-component mixture null distribution, which can ultimately generate well-calibrated P-values for effective control of family-wise error rate and false discover rate. Another attractive advantage of MAIUP is its ability to effectively address the issue of overlapping subjects commonly encountered in association studies. Simulation studies demonstrate that compared with other methods, only MAIUP can maintain correct type I error control and has higher power across a wide range of scenarios. We apply MAIUP to detect shared associated genes among 14 psychiatric disorders with summary statistics and discover many new pleiotropic genes that are otherwise not identified if failing to account for the issue of composite null hypothesis testing. Functional and enrichment analyses offer additional evidence supporting the validity of these identified pleiotropic genes associated with psychiatric disorders. Overall, MAIUP represents an efficient method for pleiotropy identification.
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Affiliation(s)
- Ting Wang
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China
| | - Haojie Lu
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China
| | - Ping Zeng
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China.,Center for Medical Statistics and Data Analysis, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China.,Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China
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Zhang Y, Lu Q, Ye Y, Huang K, Liu W, Wu Y, Zhong X, Li B, Yu Z, Travers BG, Werling DM, Li JJ, Zhao H. SUPERGNOVA: local genetic correlation analysis reveals heterogeneous etiologic sharing of complex traits. Genome Biol 2021; 22:262. [PMID: 34493297 PMCID: PMC8422619 DOI: 10.1186/s13059-021-02478-w] [Citation(s) in RCA: 53] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2020] [Accepted: 08/23/2021] [Indexed: 01/09/2023] Open
Abstract
Local genetic correlation quantifies the genetic similarity of complex traits in specific genomic regions. However, accurate estimation of local genetic correlation remains challenging, due to linkage disequilibrium in local genomic regions and sample overlap across studies. We introduce SUPERGNOVA, a statistical framework to estimate local genetic correlations using summary statistics from genome-wide association studies. We demonstrate that SUPERGNOVA outperforms existing methods through simulations and analyses of 30 complex traits. In particular, we show that the positive yet paradoxical genetic correlation between autism spectrum disorder and cognitive performance could be explained by two etiologically distinct genetic signatures with bidirectional local genetic correlations.
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Affiliation(s)
- Yiliang Zhang
- Department of Biostatistics, Yale School of Public Health, 60 College Street, New Haven, CT, 06520, USA
| | - Qiongshi Lu
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, 53706, USA
- Department of Statistics, University of Wisconsin-Madison, Madison, WI, 53706, USA
- Center for Demography of Health and Aging, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - Yixuan Ye
- Program of Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06510, USA
| | - Kunling Huang
- Department of Statistics, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - Wei Liu
- Program of Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06510, USA
| | - Yuchang Wu
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - Xiaoyuan Zhong
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - Boyang Li
- Department of Biostatistics, Yale School of Public Health, 60 College Street, New Haven, CT, 06520, USA
| | - Zhaolong Yu
- Program of Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06510, USA
| | - Brittany G Travers
- Occupational Therapy Program in the Department of Kinesiology, University of Wisconsin-Madison, Madison, WI, 53706, USA
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Donna M Werling
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA
- Laboratory of Genetics, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - James J Li
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA
- Department of Psychology, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - Hongyu Zhao
- Department of Biostatistics, Yale School of Public Health, 60 College Street, New Haven, CT, 06520, USA.
- Program of Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06510, USA.
- Department of Genetics, Yale School of Medicine, New Haven, CT, 06510, USA.
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Kleine-Levin syndrome is associated with birth difficulties and genetic variants in the TRANK1 gene loci. Proc Natl Acad Sci U S A 2021; 118:2005753118. [PMID: 33737391 DOI: 10.1073/pnas.2005753118] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Kleine-Levin syndrome (KLS) is a rare disorder characterized by severe episodic hypersomnia, with cognitive impairment accompanied by apathy or disinhibition. Pathophysiology is unknown, although imaging studies indicate decreased activity in hypothalamic/thalamic areas during episodes. Familial occurrence is increased, and risk is associated with reports of a difficult birth. We conducted a worldwide case-control genome-wide association study in 673 KLS cases collected over 14 y, and ethnically matched 15,341 control individuals. We found a strong genome-wide significant association (rs71947865, Odds Ratio [OR] = 1.48, P = 8.6 × 10-9) within the 3'region of TRANK1 gene locus, previously associated with bipolar disorder and schizophrenia. Strikingly, KLS cases with rs71947865 variant had significantly increased reports of a difficult birth. As perinatal outcomes have dramatically improved over the last 40 y, we further stratified our sample by birth years and found that recent cases had a significantly reduced rs71947865 association. While the rs71947865 association did not replicate in the entire follow-up sample of 171 KLS cases, rs71947865 was significantly associated with KLS in the subset follow-up sample of 59 KLS cases who reported birth difficulties (OR = 1.54, P = 0.01). Genetic liability of KLS as explained by polygenic risk scores was increased (pseudo R 2 = 0.15; P < 2.0 × 10-22 at P = 0.5 threshold) in the follow-up sample. Pathway analysis of genetic associations identified enrichment of circadian regulation pathway genes in KLS cases. Our results suggest links between KLS, circadian regulation, and bipolar disorder, and indicate that the TRANK1 polymorphisms in conjunction with reported birth difficulties may predispose to KLS.
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Jia X, Goes FS, Locke AE, Palmer D, Wang W, Cohen-Woods S, Genovese G, Jackson AU, Jiang C, Kvale M, Mullins N, Nguyen H, Pirooznia M, Rivera M, Ruderfer DM, Shen L, Thai K, Zawistowski M, Zhuang Y, Abecasis G, Akil H, Bergen S, Burmeister M, Chapman S, DelaBastide M, Juréus A, Kang HM, Kwok PY, Li JZ, Levy SE, Monson ET, Moran J, Sobell J, Watson S, Willour V, Zöllner S, Adolfsson R, Blackwood D, Boehnke M, Breen G, Corvin A, Craddock N, DiFlorio A, Hultman CM, Landen M, Lewis C, McCarroll SA, Richard McCombie W, McGuffin P, McIntosh A, McQuillin A, Morris D, Myers RM, O'Donovan M, Ophoff R, Boks M, Kahn R, Ouwehand W, Owen M, Pato C, Pato M, Posthuma D, Potash JB, Reif A, Sklar P, Smoller J, Sullivan PF, Vincent J, Walters J, Neale B, Purcell S, Risch N, Schaefer C, Stahl EA, Zandi PP, Scott LJ. Investigating rare pathogenic/likely pathogenic exonic variation in bipolar disorder. Mol Psychiatry 2021; 26:5239-5250. [PMID: 33483695 PMCID: PMC8295400 DOI: 10.1038/s41380-020-01006-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2019] [Revised: 12/14/2020] [Accepted: 12/16/2020] [Indexed: 01/30/2023]
Abstract
Bipolar disorder (BD) is a serious mental illness with substantial common variant heritability. However, the role of rare coding variation in BD is not well established. We examined the protein-coding (exonic) sequences of 3,987 unrelated individuals with BD and 5,322 controls of predominantly European ancestry across four cohorts from the Bipolar Sequencing Consortium (BSC). We assessed the burden of rare, protein-altering, single nucleotide variants classified as pathogenic or likely pathogenic (P-LP) both exome-wide and within several groups of genes with phenotypic or biologic plausibility in BD. While we observed an increased burden of rare coding P-LP variants within 165 genes identified as BD GWAS regions in 3,987 BD cases (meta-analysis OR = 1.9, 95% CI = 1.3-2.8, one-sided p = 6.0 × 10-4), this enrichment did not replicate in an additional 9,929 BD cases and 14,018 controls (OR = 0.9, one-side p = 0.70). Although BD shares common variant heritability with schizophrenia, in the BSC sample we did not observe a significant enrichment of P-LP variants in SCZ GWAS genes, in two classes of neuronal synaptic genes (RBFOX2 and FMRP) associated with SCZ or in loss-of-function intolerant genes. In this study, the largest analysis of exonic variation in BD, individuals with BD do not carry a replicable enrichment of rare P-LP variants across the exome or in any of several groups of genes with biologic plausibility. Moreover, despite a strong shared susceptibility between BD and SCZ through common genetic variation, we do not observe an association between BD risk and rare P-LP coding variants in genes known to modulate risk for SCZ.
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Affiliation(s)
- Xiaoming Jia
- Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Fernando S Goes
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, 21287, USA
| | - Adam E Locke
- Division of Genomics & Bioinformatics, Department of Medicine and McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, 63108, USA
| | - Duncan Palmer
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Weiqing Wang
- Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Sarah Cohen-Woods
- Discipline of Psychology and Flinders Centre for Innovation in Cancer, Flinders University, Adelaide, SA, Australia
- Medical Research Council Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Giulio Genovese
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Anne U Jackson
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Chen Jiang
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, 94611, USA
| | - Mark Kvale
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Niamh Mullins
- Pamela Sklar Division of Psychiatric Genomics, Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Hoang Nguyen
- Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Mehdi Pirooznia
- Bioinformatics and Computational Core, National Heart, Lung, and Blood Institute, Bethesda, MD, 20892, USA
| | - Margarita Rivera
- Medical Research Council Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Biochemistry and Molecular Biology II, Institute of Neurosciences, Center for Biomedical Research, University of Granada, Granada, Spain
| | - Douglas M Ruderfer
- Departments of Medicine, Psychiatry, and Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
| | - Ling Shen
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, 94611, USA
| | - Khanh Thai
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, 94611, USA
| | - Matthew Zawistowski
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Yongwen Zhuang
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Gonçalo Abecasis
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Huda Akil
- Molecular & Behavioral Neuroscience Institute, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Sarah Bergen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Margit Burmeister
- Molecular & Behavioral Neuroscience Institute, University of Michigan, Ann Arbor, MI, 48109, USA
- Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, MI, 48109, USA
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, 48109, USA
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Sinéad Chapman
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Melissa DelaBastide
- Division of Research, Cold Spring Harbor Laboratory, Cold Spring, Harbor, NY, 11797, USA
| | - Anders Juréus
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Hyun Min Kang
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Pui-Yan Kwok
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Jun Z Li
- Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, MI, 48109, USA
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Shawn E Levy
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, 35806, USA
| | - Eric T Monson
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, 52242, USA
| | - Jennifer Moran
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Janet Sobell
- Department of Psychiatry and Behavioral Sciences, University of Southern California, Los Angeles, CA, 90033, USA
| | - Stanley Watson
- Molecular & Behavioral Neuroscience Institute, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Virginia Willour
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, 52242, USA
| | - Sebastian Zöllner
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, 48109, USA
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Rolf Adolfsson
- Departments of Clinical Sciences and Psychiatry, Umea University, Umea, Sweden
| | | | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Gerome Breen
- Medical Research Council Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- NIHR BRC for Mental Health, King's College London, London, UK
| | - Aiden Corvin
- Department of Psychiatry and Trinity Translational Medicine Institute, Trinity College Dublin, Dublin, Ireland
| | - Nick Craddock
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University School of Medicine, Cardiff, UK
| | - Arianna DiFlorio
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University School of Medicine, Cardiff, UK
| | - Christina M Hultman
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Mikael Landen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
| | - Cathryn Lewis
- Medical Research Council Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Medical & Molecular Genetics, King's College London, London, UK
| | | | - W Richard McCombie
- Division of Research, Cold Spring Harbor Laboratory, Cold Spring, Harbor, NY, 11797, USA
| | - Peter McGuffin
- Medical Research Council Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Andrew McIntosh
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | | | - Derek Morris
- Department of Psychiatry and Trinity Translational Medicine Institute, Trinity College Dublin, Dublin, Ireland
- Discipline of Biochemistry, Neuroimaging and Cognitive Genomics (NICOG) Centre, National University of Ireland Galway, Galway, Ireland
| | - Richard M Myers
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, 35806, USA
| | - Michael O'Donovan
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University School of Medicine, Cardiff, UK
| | - Roel Ophoff
- Center for Neurobehavioral Genetics, University of California Los Angeles, Los Angeles, CA, 90095, USA
- Department of Psychiatry, UMC Utrecht Brain Center Rudolf Magnus, Utrecht, the Netherlands
| | - Marco Boks
- Department of Psychiatry, UMC Utrecht Brain Center Rudolf Magnus, Utrecht, the Netherlands
| | - Rene Kahn
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Willem Ouwehand
- Department of Haematology, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Michael Owen
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University School of Medicine, Cardiff, UK
| | - Carlos Pato
- Department of Psychiatry and Behavioral Sciences, University of Southern California, Los Angeles, CA, 90033, USA
- SUNY Downstate Medical Center, Brooklyn, NY, 11203, USA
| | - Michele Pato
- Department of Psychiatry and Behavioral Sciences, University of Southern California, Los Angeles, CA, 90033, USA
- Department of Psychiatry, SUNY Downstate Medical Center, Brooklyn, NY, 11203, USA
| | - Danielle Posthuma
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Department of Clinical Genetics, Amsterdam Neuroscience, Vrije Universiteit Medical Center, Amsterdam, the Netherlands
| | - James B Potash
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, 21287, USA
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Pamela Sklar
- Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Jordan Smoller
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
- Department of Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Patrick F Sullivan
- Departments of Genetics and Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - John Vincent
- Molecular Neuropsychiatry and Development Laboratory, Campbell Family Mental Health Research Institute, Center for Addiction & Mental Health, Toronto, ON, Canada
- Department of Psychiatry and Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada
| | - James Walters
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University School of Medicine, Cardiff, UK
| | - Benjamin Neale
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
- Analytical and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Shaun Purcell
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Neil Risch
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Catherine Schaefer
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, 94611, USA
| | - Eli A Stahl
- Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Peter P Zandi
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, 21287, USA.
| | - Laura J Scott
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, 48109, USA.
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36
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Qi X, Guan F, Cheng S, Wen Y, Liu L, Ma M, Cheng B, Liang C, Zhang L, Liang X, Li P, Chu X, Ye J, Yao Y, Zhang F. Sex specific effect of gut microbiota on the risk of psychiatric disorders: A Mendelian randomisation study and PRS analysis using UK Biobank cohort. World J Biol Psychiatry 2021; 22:495-504. [PMID: 33834943 DOI: 10.1080/15622975.2021.1878428] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
OBJECTIVE The relationships between gut microbiota and brain-related diseases/traits remains not fully understood. METHOD A two-stage study was performed to investigate the relationships between gut microbiota and brain-related diseases/traits, and evaluate the potential sex specific effects of gut microbiota. In discovery stage, we systematically scanned the relationships between 515 brain-related diseases/traits and gut microbiota through two-sample Mendelian randomisation analysis. Using ∼500,000 individuals derived from the UK Biobank, polygenetic risk scoring (PRS) analysis was performed to validate the associations detected in discovery stage. To evaluate the potential sex-specific effect of gut microbiota on brain-related disorders, PRS analysis was conducted in female and male, respectively. RESULTS After systematically scanning diseases or traits, 41 of the 515 brain-related diseases/traits were identified to be associated with gut microbiota, such as Neuroticism score (P2-MR = 0.0018), worrier/anxious feelings (P2-MR = 0.0013), Suffer from 'nerves' (P2-MR = 0.0062) and Nervous feelings (P2-MR = 0.0158). 5 of 41 brain-related diseases or traits were successfully validated in UK Biobank, such as Neuroticism score (PUK = 0.0024, PUK-female = 0.0063, PUK-male = 0.1142), Nervous feelings (PUK = 0.0043, PUK-female = 0.0115, PUK-male = 0.1670) and Worrier/anxious feelings (PUK = 0.0166, PUK-female = 0.0196, PUK-male = 0.2930). CONCLUSION Our results suggest that gut microbiota contributed more to brain-related diseases or traits in females than in males.Key pointsA two-stage study was performed to investigate the relationships between gut microbiota and brain-related diseases/traits.Using the individuals derived from the UK Biobank, polygenetic risk scoring analysis was performed to validate the associations detected in the discovery stage.Our results suggest that gut microbiota contributed more to brain-related diseases or traits in females than in males.
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Affiliation(s)
- Xin Qi
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, P. R. China.,Precision Medicine Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, P. R. China
| | - Fanglin Guan
- School of Medicine and Forensics, Xi'an Jiaotong University, Xi'an, P. R. China
| | - Shiqiang Cheng
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, P. R. China
| | - Yan Wen
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, P. R. China
| | - Li Liu
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, P. R. China
| | - Mei Ma
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, P. R. China
| | - Bolun Cheng
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, P. R. China
| | - Chujun Liang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, P. R. China
| | - Lu Zhang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, P. R. China
| | - Xiao Liang
- The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, P. R. China
| | - Ping Li
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, P. R. China
| | - Xiaomeng Chu
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, P. R. China
| | - Jing Ye
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, P. R. China
| | - Yao Yao
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, P. R. China
| | - Feng Zhang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, P. R. China
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Nayak R, Rosh I, Kustanovich I, Stern S. Mood Stabilizers in Psychiatric Disorders and Mechanisms Learnt from In Vitro Model Systems. Int J Mol Sci 2021; 22:9315. [PMID: 34502224 PMCID: PMC8431659 DOI: 10.3390/ijms22179315] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 08/23/2021] [Accepted: 08/25/2021] [Indexed: 12/19/2022] Open
Abstract
Bipolar disorder (BD) and schizophrenia are psychiatric disorders that manifest unusual mental, behavioral, and emotional patterns leading to suffering and disability. These disorders span heterogeneous conditions with variable heredity and elusive pathophysiology. Mood stabilizers such as lithium and valproic acid (VPA) have been shown to be effective in BD and, to some extent in schizophrenia. This review highlights the efficacy of lithium and VPA treatment in several randomized, controlled human trials conducted in patients suffering from BD and schizophrenia. Furthermore, we also address the importance of using induced pluripotent stem cells (iPSCs) as a disease model for mirroring the disease's phenotypes. In BD, iPSC-derived neurons enabled finding an endophenotype of hyperexcitability with increased hyperpolarizations. Some of the disease phenotypes were significantly alleviated by lithium treatment. VPA studies have also reported rescuing the Wnt/β-catenin pathway and reducing activity. Another significant contribution of iPSC models can be attributed to studying the molecular etiologies of schizophrenia such as abnormal differentiation of patient-derived neural stem cells, decreased neuronal connectivity and neurite number, impaired synaptic function, and altered gene expression patterns. Overall, despite significant advances using these novel models, much more work remains to fully understand the mechanisms by which these disorders affect the patients' brains.
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Affiliation(s)
| | | | | | - Shani Stern
- Sagol Department of Neurobiology, University of Haifa, Haifa 3498838, Israel; (R.N.); (I.R.); (I.K.)
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38
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Tang L, Liu J, Zhu Y, Duan J, Chen Y, Wei Y, Gong X, Wang F, Tang Y. ANK3 Gene Polymorphism Rs10994336 Influences Executive Functions by Modulating Methylation in Patients With Bipolar Disorder. Front Neurosci 2021; 15:682873. [PMID: 34421516 PMCID: PMC8371237 DOI: 10.3389/fnins.2021.682873] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 05/31/2021] [Indexed: 01/11/2023] Open
Abstract
Background: A large body of evidence suggests that epigenetic modification including DNA methylation plays a critical role in BD's pathogenesis while the identification of methylation quantitative trait loci (meQTLs) shed light on the interpretation of the function of genetic variants in non-coding regions. The intronic single nucleotide polymorphism (SNP) rs10994336 within the ANK3 has emerged as one of the most replicated risk variants for bipolar disorder (BD) in genome-wide association studies. Whether rs10994336 functions as a meQTL to mediate the association between genotype and phenotype remains unclear. Method: A total of 154 patients with BD and 181 healthy controls (HC) were recruited. The genotypes of rs10994336 and methylation levels of CpG sites within ANK3 were tested. Executive functions were assessed using a computerized version of the Wisconsin Card Sorting Test (WCST). Results: Bipolar disorder patients with the risk-T allele of rs10994336 scored lower on tests of executive function compared to homozygous CC carriers, after controlling for age, gender, and education level. No significant difference was found in HC individuals. The risk-T allele is associated with a lower methylation level of CpG site cg02172182 in HC after multiple corrections and replicated in the BD group in the same direction. Further mediation analysis revealed that the cg02172182 methylation significantly mediated the association between the polymorphism rs10994336 and PE index of WCST in patients with BD. Conclusion: Our study suggests that BD-related genetic variant rs10994336 in ANK3 impacts executive functions by modulating ANK3 methylation, supporting the theory that methylation acts as a mediator between genotype and phenotype.
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Affiliation(s)
- Lili Tang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Juan Liu
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Yue Zhu
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Jia Duan
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Yifan Chen
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Yange Wei
- Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Xiaohong Gong
- State Key Laboratory of Genetic Engineering and Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, China
| | - Fei Wang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China.,Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Yanqing Tang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China
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Wang M, Shao W, Hao X, Shen L, Zhang D. Identify Consistent Cross-Modality Imaging Genetic Patterns via Discriminant Sparse Canonical Correlation Analysis. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2021; 18:1549-1561. [PMID: 31581090 DOI: 10.1109/tcbb.2019.2944825] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Sparse canonical correlation analysis (SCCA) is a bi-multivariate technique used in imaging genetics to identify complex multi-SNP-multi-QT associations. However, the traditional SCCA algorithm has been designed to seek a linear correlation between the SNP genotype and brain imaging phenotype, ignoring the discriminant similarity information between within-class subjects in brain imaging genetics association analysis. In addition, multi-modality brain imaging phenotypes are extracted from different perspectives and imaging markers from the same region consistently showing up in multimodalities may provide more insights for the mechanistic understanding of diseases. In this paper, a novel multi-modality discriminant SCCA algorithm (MD-SCCA) is proposed to overcome these limitations as well as to improve learning results by incorporating valuable discriminant similarity information into the SCCA algorithm. Specifically, we first extract the discriminant similarity information between within-class subjects by the sparse representation. Second, the discriminant similarity information is enforced within SCCA to construct a discriminant SCCA algorithm (D-SCCA). At last, the MD-SCCA algorithm is adopted to fully explore the relationships among different modalities of different subjects. In experiments, both synthetic dataset and real data from the Alzheimer's Disease Neuroimaging Initiative database are used to test the performance of our algorithm. The empirical results have demonstrated that the proposed algorithm not only produces improved cross-validation performances but also identifies consistent cross-modality imaging genetic biomarkers.
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40
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Wang M, Shao W, Hao X, Zhang D. Identify Complex Imaging Genetic Patterns via Fusion Self-Expressive Network Analysis. IEEE TRANSACTIONS ON MEDICAL IMAGING 2021; 40:1673-1686. [PMID: 33661732 DOI: 10.1109/tmi.2021.3063785] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
In the brain imaging genetic studies, it is a challenging task to estimate the association between quantitative traits (QTs) extracted from neuroimaging data and genetic markers such as single-nucleotide polymorphisms (SNPs). Most of the existing association studies are based on the extensions of sparse canonical correlation analysis (SCCA) for the identification of complex bi-multivariate associations, which can take the specific structure and group information into consideration. However, they often take the original data as input without considering its underlying complex multi-subspace structure, which will deteriorate the performance of the following integrative analysis. Accordingly, in this paper, the self-expressive property is exploited for the reconstruction of the original data before the association analysis, which can well describe the similarity structure. Specifically, we first apply the within-class similarity information to construct self-expressive networks by sparse representation. Then, we use the fusion method to iteratively fuse the self-expressive networks from multi-modality brain phenotypes into one network. Finally, we calculate the imaging genetic association based on the fused self-expressive network. We conduct the experiments on both single-modality and multi-modality phenotype data. Related experimental results validate that our method can not only better estimate the potential association between genetic markers and quantitative traits but also identify consistent multi-modality imaging genetic biomarkers to guide the interpretation of Alzheimer's disease.
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41
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Mullins N, Forstner AJ, O'Connell KS, Coombes B, Coleman JRI, Qiao Z, Als TD, Bigdeli TB, Børte S, Bryois J, Charney AW, Drange OK, Gandal MJ, Hagenaars SP, Ikeda M, Kamitaki N, Kim M, Krebs K, Panagiotaropoulou G, Schilder BM, Sloofman LG, Steinberg S, Trubetskoy V, Winsvold BS, Won HH, Abramova L, Adorjan K, Agerbo E, Al Eissa M, Albani D, Alliey-Rodriguez N, Anjorin A, Antilla V, Antoniou A, Awasthi S, Baek JH, Bækvad-Hansen M, Bass N, Bauer M, Beins EC, Bergen SE, Birner A, Bøcker Pedersen C, Bøen E, Boks MP, Bosch R, Brum M, Brumpton BM, Brunkhorst-Kanaan N, Budde M, Bybjerg-Grauholm J, Byerley W, Cairns M, Casas M, Cervantes P, Clarke TK, Cruceanu C, Cuellar-Barboza A, Cunningham J, Curtis D, Czerski PM, Dale AM, Dalkner N, David FS, Degenhardt F, Djurovic S, Dobbyn AL, Douzenis A, Elvsåshagen T, Escott-Price V, Ferrier IN, Fiorentino A, Foroud TM, Forty L, Frank J, Frei O, Freimer NB, Frisén L, Gade K, Garnham J, Gelernter J, Giørtz Pedersen M, Gizer IR, Gordon SD, Gordon-Smith K, Greenwood TA, Grove J, Guzman-Parra J, Ha K, Haraldsson M, Hautzinger M, Heilbronner U, Hellgren D, Herms S, Hoffmann P, Holmans PA, Huckins L, Jamain S, Johnson JS, Kalman JL, Kamatani Y, Kennedy JL, Kittel-Schneider S, Knowles JA, Kogevinas M, Koromina M, Kranz TM, Kranzler HR, Kubo M, Kupka R, Kushner SA, Lavebratt C, Lawrence J, Leber M, Lee HJ, Lee PH, Levy SE, Lewis C, Liao C, Lucae S, Lundberg M, MacIntyre DJ, Magnusson SH, Maier W, Maihofer A, Malaspina D, Maratou E, Martinsson L, Mattheisen M, McCarroll SA, McGregor NW, McGuffin P, McKay JD, Medeiros H, Medland SE, Millischer V, Montgomery GW, Moran JL, Morris DW, Mühleisen TW, O'Brien N, O'Donovan C, Olde Loohuis LM, Oruc L, Papiol S, Pardiñas AF, Perry A, Pfennig A, Porichi E, Potash JB, Quested D, Raj T, Rapaport MH, DePaulo JR, Regeer EJ, Rice JP, Rivas F, Rivera M, Roth J, Roussos P, Ruderfer DM, Sánchez-Mora C, Schulte EC, Senner F, Sharp S, Shilling PD, Sigurdsson E, Sirignano L, Slaney C, Smeland OB, Smith DJ, Sobell JL, Søholm Hansen C, Soler Artigas M, Spijker AT, Stein DJ, Strauss JS, Świątkowska B, Terao C, Thorgeirsson TE, Toma C, Tooney P, Tsermpini EE, Vawter MP, Vedder H, Walters JTR, Witt SH, Xi S, Xu W, Yang JMK, Young AH, Young H, Zandi PP, Zhou H, Zillich L, Adolfsson R, Agartz I, Alda M, Alfredsson L, Babadjanova G, Backlund L, Baune BT, Bellivier F, Bengesser S, Berrettini WH, Blackwood DHR, Boehnke M, Børglum AD, Breen G, Carr VJ, Catts S, Corvin A, Craddock N, Dannlowski U, Dikeos D, Esko T, Etain B, Ferentinos P, Frye M, Fullerton JM, Gawlik M, Gershon ES, Goes FS, Green MJ, Grigoroiu-Serbanescu M, Hauser J, Henskens F, Hillert J, Hong KS, Hougaard DM, Hultman CM, Hveem K, Iwata N, Jablensky AV, Jones I, Jones LA, Kahn RS, Kelsoe JR, Kirov G, Landén M, Leboyer M, Lewis CM, Li QS, Lissowska J, Lochner C, Loughland C, Martin NG, Mathews CA, Mayoral F, McElroy SL, McIntosh AM, McMahon FJ, Melle I, Michie P, Milani L, Mitchell PB, Morken G, Mors O, Mortensen PB, Mowry B, Müller-Myhsok B, Myers RM, Neale BM, Nievergelt CM, Nordentoft M, Nöthen MM, O'Donovan MC, Oedegaard KJ, Olsson T, Owen MJ, Paciga SA, Pantelis C, Pato C, Pato MT, Patrinos GP, Perlis RH, Posthuma D, Ramos-Quiroga JA, Reif A, Reininghaus EZ, Ribasés M, Rietschel M, Ripke S, Rouleau GA, Saito T, Schall U, Schalling M, Schofield PR, Schulze TG, Scott LJ, Scott RJ, Serretti A, Shannon Weickert C, Smoller JW, Stefansson H, Stefansson K, Stordal E, Streit F, Sullivan PF, Turecki G, Vaaler AE, Vieta E, Vincent JB, Waldman ID, Weickert TW, Werge T, Wray NR, Zwart JA, Biernacka JM, Nurnberger JI, Cichon S, Edenberg HJ, Stahl EA, McQuillin A, Di Florio A, Ophoff RA, Andreassen OA. Genome-wide association study of more than 40,000 bipolar disorder cases provides new insights into the underlying biology. Nat Genet 2021; 53:817-829. [PMID: 34002096 PMCID: PMC8192451 DOI: 10.1038/s41588-021-00857-4] [Citation(s) in RCA: 538] [Impact Index Per Article: 179.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Accepted: 03/25/2021] [Indexed: 12/14/2022]
Abstract
Bipolar disorder is a heritable mental illness with complex etiology. We performed a genome-wide association study of 41,917 bipolar disorder cases and 371,549 controls of European ancestry, which identified 64 associated genomic loci. Bipolar disorder risk alleles were enriched in genes in synaptic signaling pathways and brain-expressed genes, particularly those with high specificity of expression in neurons of the prefrontal cortex and hippocampus. Significant signal enrichment was found in genes encoding targets of antipsychotics, calcium channel blockers, antiepileptics and anesthetics. Integrating expression quantitative trait locus data implicated 15 genes robustly linked to bipolar disorder via gene expression, encoding druggable targets such as HTR6, MCHR1, DCLK3 and FURIN. Analyses of bipolar disorder subtypes indicated high but imperfect genetic correlation between bipolar disorder type I and II and identified additional associated loci. Together, these results advance our understanding of the biological etiology of bipolar disorder, identify novel therapeutic leads and prioritize genes for functional follow-up studies.
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Affiliation(s)
- Niamh Mullins
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Andreas J Forstner
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
- Centre for Human Genetics, University of Marburg, Marburg, Germany
| | - Kevin S O'Connell
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT, University of Oslo, Oslo, Norway
| | - Brandon Coombes
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Jonathan R I Coleman
- Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
- NIHR Maudsley BRC, King's College London, London, UK
| | - Zhen Qiao
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
| | - Thomas D Als
- iSEQ, Center for Integrative Sequencing, Aarhus University, Aarhus, Denmark
- Department of Biomedicine - Human Genetics, Aarhus University, Aarhus, Denmark
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
| | - Tim B Bigdeli
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
- VA NY Harbor Healthcare System, Brooklyn, NY, USA
| | - Sigrid Børte
- Research and Communication Unit for Musculoskeletal Health, Division of Clinical Neuroscience, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- K. G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Julien Bryois
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Alexander W Charney
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ole Kristian Drange
- Department of Mental Health, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Department of Østmarka, Division of Mental Health Care, St Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Michael J Gandal
- Department of Psychiatry and Biobehavioral Science, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Saskia P Hagenaars
- Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
- NIHR Maudsley BRC, King's College London, London, UK
| | - Masashi Ikeda
- Department of Psychiatry, School of Medicine, Fujita Health University, Toyoake, Japan
| | - Nolan Kamitaki
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Minsoo Kim
- Department of Psychiatry and Biobehavioral Science, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Kristi Krebs
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | | | - Brian M Schilder
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Estelle and Daniel Maggin Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Laura G Sloofman
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Vassily Trubetskoy
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin, Berlin, Germany
| | - Bendik S Winsvold
- K. G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Research, Innovation and Education, Division of Clinical Neuroscience, Oslo University Hospital, Oslo, Norway
| | - Hong-Hee Won
- Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Samsung Medical Center, Sungkyunkwan University, Seoul, South Korea
| | - Liliya Abramova
- Russian Academy of Medical Sciences, Mental Health Research Center, Moscow, Russian Federation
| | - Kristina Adorjan
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Esben Agerbo
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark
- Centre for Integrated Register-Based Research, Aarhus University, Aarhus, Denmark
| | - Mariam Al Eissa
- Division of Psychiatry, University College London, London, UK
| | - Diego Albani
- Department of Neuroscience, Istituto Di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Ney Alliey-Rodriguez
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
- Northwestern University, Chicago, IL, USA
| | - Adebayo Anjorin
- Psychiatry, Berkshire Healthcare NHS Foundation Trust, Bracknell, UK
| | - Verneri Antilla
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Anastasia Antoniou
- 2nd Department of Psychiatry, Attikon General Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Swapnil Awasthi
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin, Berlin, Germany
| | - Ji Hyun Baek
- Department of Psychiatry, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, South Korea
| | - Marie Bækvad-Hansen
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Nicholas Bass
- Division of Psychiatry, University College London, London, UK
| | - Michael Bauer
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Eva C Beins
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
| | - Sarah E Bergen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Armin Birner
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Graz, Austria
| | - Carsten Bøcker Pedersen
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark
- Centre for Integrated Register-Based Research, Aarhus University, Aarhus, Denmark
| | - Erlend Bøen
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Marco P Boks
- Psychiatry, Brain Center UMC Utrecht, Utrecht, the Netherlands
| | - Rosa Bosch
- Instituto de Salud Carlos III, Biomedical Network Research Centre on Mental Health (CIBERSAM), Madrid, Spain
- Department of Psychiatry, Hospital Universitari Vall d´Hebron, Barcelona, Spain
- Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
- Psychiatric Genetics Unit, Group of Psychiatry Mental Health and Addictions, Vall d´Hebron Research Institut (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Murielle Brum
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Ben M Brumpton
- K. G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Nathalie Brunkhorst-Kanaan
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Monika Budde
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
| | - Jonas Bybjerg-Grauholm
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - William Byerley
- Psychiatry, University of California San Francisco, San Francisco, CA, USA
| | - Murray Cairns
- University of Newcastle, Newcastle, New South Wales, Australia
| | - Miquel Casas
- Instituto de Salud Carlos III, Biomedical Network Research Centre on Mental Health (CIBERSAM), Madrid, Spain
- Department of Psychiatry, Hospital Universitari Vall d´Hebron, Barcelona, Spain
- Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
- Psychiatric Genetics Unit, Group of Psychiatry Mental Health and Addictions, Vall d´Hebron Research Institut (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Pablo Cervantes
- Mood Disorders Program, Department of Psychiatry, McGill University Health Center, Montreal, Quebec, Canada
| | - Toni-Kim Clarke
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Cristiana Cruceanu
- Mood Disorders Program, Department of Psychiatry, McGill University Health Center, Montreal, Quebec, Canada
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Alfredo Cuellar-Barboza
- Department of Psychiatry, Universidad Autonoma de Nuevo Leon, Monterrey, Mexico
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - Julie Cunningham
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - David Curtis
- Centre for Psychiatry, Queen Mary University of London, London, UK
- UCL Genetics Institute, University College London, London, UK
| | - Piotr M Czerski
- Department of Psychiatry, Laboratory of Psychiatric Genetics, Poznan University of Medical Sciences, Poznan, Poland
| | - Anders M Dale
- Center for Multimodal Imaging and Genetics, Departments of Neurosciences, Radiology, and Psychiatry, University of California, San Diego, CA, USA
| | - Nina Dalkner
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Graz, Austria
| | - Friederike S David
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
| | - Franziska Degenhardt
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Duisburg, Germany
| | - Srdjan Djurovic
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
- NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Amanda L Dobbyn
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Athanassios Douzenis
- 2nd Department of Psychiatry, Attikon General Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Torbjørn Elvsåshagen
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Neurology, Oslo University Hospital, Oslo, Norway
- NORMENT, KG Jebsen Centre for Psychosis Research, Oslo University Hospital, Oslo, Norway
| | - Valentina Escott-Price
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - I Nicol Ferrier
- Academic Psychiatry, Newcastle University, Newcastle upon Tyne, UK
| | | | - Tatiana M Foroud
- Department of Medical and Molecular Genetics, Indiana University, Indianapolis, IN, USA
| | - Liz Forty
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Josef Frank
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Oleksandr Frei
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Nelson B Freimer
- Department of Psychiatry and Biobehavioral Science, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA
| | - Louise Frisén
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Katrin Gade
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
| | - Julie Garnham
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Joel Gelernter
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
- Departments of Genetics and Neuroscience, Yale University School of Medicine, New Haven, CT, USA
| | - Marianne Giørtz Pedersen
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark
- Centre for Integrated Register-Based Research, Aarhus University, Aarhus, Denmark
| | - Ian R Gizer
- Department of Psychological Sciences, University of Missouri, Columbia, MO, USA
| | - Scott D Gordon
- Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | | | - Tiffany A Greenwood
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Jakob Grove
- iSEQ, Center for Integrative Sequencing, Aarhus University, Aarhus, Denmark
- Department of Biomedicine - Human Genetics, Aarhus University, Aarhus, Denmark
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
| | - José Guzman-Parra
- Mental Health Department, University Regional Hospital, Biomedicine Institute (IBIMA), Málaga, Spain
| | - Kyooseob Ha
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, South Korea
| | | | - Martin Hautzinger
- Department of Psychology, Eberhard Karls Universität Tübingen, Tübingen, Germany
| | - Urs Heilbronner
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
| | - Dennis Hellgren
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Stefan Herms
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Per Hoffmann
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Peter A Holmans
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Laura Huckins
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Stéphane Jamain
- Neuropsychiatrie Translationnelle, Inserm U955, Créteil, France
- Faculté de Santé, Université Paris Est, Créteil, France
| | - Jessica S Johnson
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Janos L Kalman
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
- International Max Planck Research School for Translational Psychiatry (IMPRS-TP), Munich, Germany
| | - Yoichiro Kamatani
- Laboratory of Complex Trait Genomics, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - James L Kennedy
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Neurogenetics Section, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- Institute of Medical Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Sarah Kittel-Schneider
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Frankfurt am Main, Germany
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital Würzburg, Würzburg, Germany
| | - James A Knowles
- Cell Biology, SUNY Downstate Medical Center College of Medicine, Brooklyn, NY, USA
- Institute for Genomic Health, SUNY Downstate Medical Center College of Medicine, Brooklyn, NY, USA
| | | | - Maria Koromina
- Laboratory of Pharmacogenomics and Individualized Therapy, Department of Pharmacy, School of Health Sciences, University of Patras, Patras, Greece
| | - Thorsten M Kranz
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Henry R Kranzler
- Mental Illness Research, Education and Clinical Center, Crescenz VAMC, Philadelphia, PA, USA
- Center for Studies of Addiction, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Michiaki Kubo
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Ralph Kupka
- Psychiatry, Altrecht, Utrecht, the Netherlands
- Psychiatry, GGZ inGeest, Amsterdam, the Netherlands
- Psychiatry, VU Medisch Centrum, Amsterdam, the Netherlands
| | - Steven A Kushner
- Department of Psychiatry, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Catharina Lavebratt
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Jacob Lawrence
- Psychiatry, North East London NHS Foundation Trust, Ilford, UK
| | - Markus Leber
- Clinic for Psychiatry and Psychotherapy, University Hospital Cologne, Cologne, Germany
| | - Heon-Jeong Lee
- Department of Psychiatry, Korea University College of Medicine, Seoul, South Korea
| | - Phil H Lee
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Shawn E Levy
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - Catrin Lewis
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Calwing Liao
- Department of Human Genetics, McGill University, Montréal, Quebec, Canada
- Montreal Neurological Institute and Hospital, McGill University, Montréal, Quebec, Canada
| | - Susanne Lucae
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Martin Lundberg
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Donald J MacIntyre
- Division of Psychiatry, Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK
| | | | - Wolfgang Maier
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - Adam Maihofer
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Dolores Malaspina
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Eirini Maratou
- Clinical Biochemistry Laboratory, Attikon General Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Lina Martinsson
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Manuel Mattheisen
- iSEQ, Center for Integrative Sequencing, Aarhus University, Aarhus, Denmark
- Department of Biomedicine - Human Genetics, Aarhus University, Aarhus, Denmark
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital Würzburg, Würzburg, Germany
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
| | - Steven A McCarroll
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Nathaniel W McGregor
- Systems Genetics Working Group, Department of Genetics, Stellenbosch University, Stellenbosch, South Africa
| | - Peter McGuffin
- Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
| | - James D McKay
- Genetic Cancer Susceptibility Group, International Agency for Research on Cancer, Lyon, France
| | - Helena Medeiros
- Institute for Genomic Health, SUNY Downstate Medical Center College of Medicine, Brooklyn, NY, USA
| | - Sarah E Medland
- Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Vincent Millischer
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Grant W Montgomery
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
| | - Jennifer L Moran
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Derek W Morris
- Centre for Neuroimaging and Cognitive Genomics (NICOG), National University of Ireland Galway, Galway, Ireland
| | - Thomas W Mühleisen
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
- Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Niamh O'Brien
- Division of Psychiatry, University College London, London, UK
| | - Claire O'Donovan
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Loes M Olde Loohuis
- Department of Psychiatry and Biobehavioral Science, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA
| | - Lilijana Oruc
- Medical Faculty, School of Science and Technology, University Sarajevo, Sarajevo, Bosnia and Herzegovina
| | - Sergi Papiol
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Antonio F Pardiñas
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Amy Perry
- Psychological Medicine, University of Worcester, Worcester, UK
| | - Andrea Pfennig
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Evgenia Porichi
- 2nd Department of Psychiatry, Attikon General Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - James B Potash
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Digby Quested
- Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, UK
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK
| | - Towfique Raj
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Estelle and Daniel Maggin Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Mark H Rapaport
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - J Raymond DePaulo
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Eline J Regeer
- Outpatient Clinic for Bipolar Disorder, Altrecht, Utrecht, the Netherlands
| | - John P Rice
- Department of Psychiatry, Washington University in Saint Louis, Saint Louis, MO, USA
| | - Fabio Rivas
- Mental Health Department, University Regional Hospital, Biomedicine Institute (IBIMA), Málaga, Spain
| | - Margarita Rivera
- Department of Biochemistry and Molecular Biology II, Faculty of Pharmacy, University of Granada, Granada, Spain
- Institute of Neurosciences, Biomedical Research Center (CIBM), University of Granada, Granada, Spain
| | - Julian Roth
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital Würzburg, Würzburg, Germany
| | - Panos Roussos
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Douglas M Ruderfer
- Medicine, Psychiatry, Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Cristina Sánchez-Mora
- Instituto de Salud Carlos III, Biomedical Network Research Centre on Mental Health (CIBERSAM), Madrid, Spain
- Department of Psychiatry, Hospital Universitari Vall d´Hebron, Barcelona, Spain
- Psychiatric Genetics Unit, Group of Psychiatry Mental Health and Addictions, Vall d´Hebron Research Institut (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- Department of Genetics, Microbiology and Statistics, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain
| | - Eva C Schulte
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Fanny Senner
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Sally Sharp
- Division of Psychiatry, University College London, London, UK
| | - Paul D Shilling
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Engilbert Sigurdsson
- Landspitali University Hospital, Reykjavik, Iceland
- Faculty of Medicine, Department of Psychiatry, School of Health Sciences, University of Iceland, Reykjavik, Iceland
| | - Lea Sirignano
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Claire Slaney
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Olav B Smeland
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT, University of Oslo, Oslo, Norway
| | - Daniel J Smith
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Janet L Sobell
- Psychiatry and the Behavioral Sciences, University of Southern California, Los Angeles, CA, USA
| | - Christine Søholm Hansen
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Maria Soler Artigas
- Instituto de Salud Carlos III, Biomedical Network Research Centre on Mental Health (CIBERSAM), Madrid, Spain
- Department of Psychiatry, Hospital Universitari Vall d´Hebron, Barcelona, Spain
- Psychiatric Genetics Unit, Group of Psychiatry Mental Health and Addictions, Vall d´Hebron Research Institut (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- Department of Genetics, Microbiology and Statistics, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain
| | | | - 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
| | - John S Strauss
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Beata Świątkowska
- Department of Environmental Epidemiology, Nofer Institute of Occupational Medicine, Lodz, Poland
| | - Chikashi Terao
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | | | - Claudio Toma
- Neuroscience Research Australia, Sydney, New South Wales, Australia
- School of Medical Sciences, University of New South Wales, Sydney, New South Wales, Australia
- Centro de Biología Molecular Severo Ochoa, Universidad Autónoma de Madrid and CSIC, Madrid, Spain
| | - Paul Tooney
- University of Newcastle, Newcastle, New South Wales, Australia
| | - Evangelia-Eirini Tsermpini
- Laboratory of Pharmacogenomics and Individualized Therapy, Department of Pharmacy, School of Health Sciences, University of Patras, Patras, Greece
| | - Marquis P Vawter
- Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, Irvine, CA, USA
| | - Helmut Vedder
- Psychiatry, Psychiatrisches Zentrum Nordbaden, Wiesloch, Germany
| | - James T R Walters
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Stephanie H Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Simon Xi
- Computational Sciences Center of Emphasis, Pfizer Global Research and Development, Cambridge, MA, USA
| | - Wei Xu
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Jessica Mei Kay Yang
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Allan H Young
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- South London and Maudsley NHS Foundation Trust, Bethlem Royal Hospital, Beckenham, UK
| | - Hannah Young
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Peter P Zandi
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Hang Zhou
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Lea Zillich
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Rolf Adolfsson
- Department of Clinical Sciences, Psychiatry, Umeå University Medical Faculty, Umeå, Sweden
| | - Ingrid Agartz
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Institute of Clinical Medicine and Diakonhjemmet Hospital, University of Oslo, Oslo, Norway
| | - Martin Alda
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada
- National Institute of Mental Health, Klecany, Czech Republic
| | - Lars Alfredsson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Gulja Babadjanova
- Institute of Pulmonology, Russian State Medical University, Moscow, Russian Federation
| | - Lena Backlund
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Bernhard T Baune
- Department of Psychiatry, University of Münster, Münster, Germany
- Department of Psychiatry, Melbourne Medical School, The University of Melbourne, Melbourne, Victoria, Australia
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Frank Bellivier
- Université de Paris, INSERM, Optimisation Thérapeutique en Neuropsychopharmacologie, UMRS 1144, Paris, France
- APHP Nord, DMU Neurosciences, Département de Psychiatrie et de Médecine Addictologique, GHU Saint Louis-Lariboisière-Fernand Widal, Paris, France
| | - Susanne Bengesser
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Graz, Austria
| | | | | | - Michael Boehnke
- Center for Statistical Genetics and Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - Anders D Børglum
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Department of Biomedicine and the iSEQ Center, Aarhus University, Aarhus, Denmark
- Center for Genomics and Personalized Medicine, CGPM, Aarhus, Denmark
| | - Gerome Breen
- Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
- NIHR Maudsley BRC, King's College London, London, UK
| | - Vaughan J Carr
- School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
| | - Stanley Catts
- University of Queensland, Brisbane, Queensland, Australia
| | - Aiden Corvin
- Neuropsychiatric Genetics Research Group, Department of Psychiatry and Trinity Translational Medicine Institute, Trinity College Dublin, Dublin, Ireland
| | - Nicholas Craddock
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Udo Dannlowski
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Dimitris Dikeos
- 1st Department of Psychiatry, Eginition Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Tõnu Esko
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
- Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
- Division of Endocrinology, Children's Hospital Boston, Boston, MA, USA
| | - Bruno Etain
- Université de Paris, INSERM, Optimisation Thérapeutique en Neuropsychopharmacologie, UMRS 1144, Paris, France
- APHP Nord, DMU Neurosciences, Département de Psychiatrie et de Médecine Addictologique, GHU Saint Louis-Lariboisière-Fernand Widal, Paris, France
| | - Panagiotis Ferentinos
- Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
- 2nd Department of Psychiatry, Attikon General Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Mark Frye
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - Janice M Fullerton
- Neuroscience Research Australia, Sydney, New South Wales, Australia
- School of Medical Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Micha Gawlik
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital Würzburg, Würzburg, Germany
| | - Elliot S Gershon
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
- Department of Human Genetics, University of Chicago, Chicago, IL, USA
| | - Fernando S Goes
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Melissa J Green
- Neuroscience Research Australia, Sydney, New South Wales, Australia
- School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
| | - Maria Grigoroiu-Serbanescu
- Biometric Psychiatric Genetics Research Unit, Alexandru Obregia Clinical Psychiatric Hospital, Bucharest, Romania
| | - Joanna Hauser
- Department of Psychiatry, Laboratory of Psychiatric Genetics, Poznan University of Medical Sciences, Poznan, Poland
| | - Frans Henskens
- University of Newcastle, Newcastle, New South Wales, Australia
| | - Jan Hillert
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Kyung Sue Hong
- Department of Psychiatry, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, South Korea
| | - David M Hougaard
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Christina M Hultman
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Kristian Hveem
- K. G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
- HUNT Research Center, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Nakao Iwata
- Department of Psychiatry, School of Medicine, Fujita Health University, Toyoake, Japan
| | - Assen V Jablensky
- University of Western Australia, Nedlands, Western Australia, Australia
| | - Ian Jones
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Lisa A Jones
- Psychological Medicine, University of Worcester, Worcester, UK
| | - René S Kahn
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Psychiatry, Brain Center UMC Utrecht, Utrecht, the Netherlands
| | - John R Kelsoe
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - George Kirov
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Mikael Landén
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
| | - Marion Leboyer
- Neuropsychiatrie Translationnelle, Inserm U955, Créteil, France
- Faculté de Santé, Université Paris Est, Créteil, France
- Department of Psychiatry and Addiction Medicine, Assistance Publique - Hôpitaux de Paris, Paris, France
| | - Cathryn M Lewis
- Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
- NIHR Maudsley BRC, King's College London, London, UK
- Department of Medical and Molecular Genetics, King's College London, London, UK
| | - Qingqin S Li
- Neuroscience Therapeutic Area, Janssen Research and Development, LLC, Titusville, NJ, USA
| | - Jolanta Lissowska
- Cancer Epidemiology and Prevention, M. Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland
| | - Christine Lochner
- SA MRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry, Stellenbosch University, Stellenbosch, South Africa
| | | | - Nicholas G Martin
- Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- School of Psychology, The University of Queensland, Brisbane, Queensland, Australia
| | - Carol A Mathews
- Department of Psychiatry and Genetics Institute, University of Florida, Gainesville, FL, USA
| | - Fermin Mayoral
- Mental Health Department, University Regional Hospital, Biomedicine Institute (IBIMA), Málaga, Spain
| | | | - Andrew M McIntosh
- Division of Psychiatry, Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Francis J McMahon
- Human Genetics Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, MD, USA
| | - Ingrid Melle
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Division of Mental Health and Addiction, University of Oslo, Institute of Clinical Medicine, Oslo, Norway
| | - Patricia Michie
- University of Newcastle, Newcastle, New South Wales, Australia
| | - Lili Milani
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Philip B Mitchell
- School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
| | - Gunnar Morken
- Department of Mental Health, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Psychiatry, St Olavs University Hospital, Trondheim, Norway
| | - Ole Mors
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Psychosis Research Unit, Aarhus University Hospital - Psychiatry, Risskov, Denmark
| | - Preben Bo Mortensen
- iSEQ, Center for Integrative Sequencing, Aarhus University, Aarhus, Denmark
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark
- Centre for Integrated Register-Based Research, Aarhus University, Aarhus, Denmark
| | - Bryan Mowry
- University of Queensland, Brisbane, Queensland, Australia
| | - Bertram Müller-Myhsok
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- University of Liverpool, Liverpool, UK
| | - Richard M Myers
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - Benjamin M Neale
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - Caroline M Nievergelt
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Research/Psychiatry, Veterans Affairs San Diego Healthcare System, San Diego, CA, USA
| | - Merete Nordentoft
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Mental Health Services in the Capital Region of Denmark, Mental Health Center Copenhagen, University of Copenhagen, Copenhagen, Denmark
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
| | - Michael C O'Donovan
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Ketil J Oedegaard
- Division of Psychiatry, Haukeland Universitetssjukehus, Bergen, Norway
- Faculty of Medicine and Dentistry, University of Bergen, Bergen, Norway
| | - Tomas Olsson
- Department of Clinical Neuroscience and Center for Molecular Medicine, Karolinska Institutet at Karolinska University Hospital, Solna, Sweden
| | - Michael J Owen
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Sara A Paciga
- Human Genetics and Computational Biomedicine, Pfizer Global Research and Development, Groton, CT, USA
| | | | - Carlos Pato
- Institute for Genomic Health, SUNY Downstate Medical Center College of Medicine, Brooklyn, NY, USA
| | - Michele T Pato
- Institute for Genomic Health, SUNY Downstate Medical Center College of Medicine, Brooklyn, NY, USA
| | - George P Patrinos
- Laboratory of Pharmacogenomics and Individualized Therapy, Department of Pharmacy, School of Health Sciences, University of Patras, Patras, Greece
- Department of Pathology, College of Medicine and Health Sciences, United Arab Emirates University, Al-Ain, United Arab Emirates
- Zayed Center of Health Sciences, United Arab Emirates University, Al-Ain, United Arab Emirates
| | - Roy H Perlis
- Psychiatry, Harvard Medical School, Boston, MA, USA
- Division of Clinical Research, Massachusetts General Hospital, Boston, MA, USA
| | - Danielle Posthuma
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Department of Clinical Genetics, Amsterdam Neuroscience, Vrije Universiteit Medical Center, Amsterdam, the Netherlands
| | - Josep Antoni Ramos-Quiroga
- Instituto de Salud Carlos III, Biomedical Network Research Centre on Mental Health (CIBERSAM), Madrid, Spain
- Department of Psychiatry, Hospital Universitari Vall d´Hebron, Barcelona, Spain
- Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
- Psychiatric Genetics Unit, Group of Psychiatry Mental Health and Addictions, Vall d´Hebron Research Institut (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Eva Z Reininghaus
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Graz, Austria
| | - Marta Ribasés
- Instituto de Salud Carlos III, Biomedical Network Research Centre on Mental Health (CIBERSAM), Madrid, Spain
- Department of Psychiatry, Hospital Universitari Vall d´Hebron, Barcelona, Spain
- Psychiatric Genetics Unit, Group of Psychiatry Mental Health and Addictions, Vall d´Hebron Research Institut (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- Department of Genetics, Microbiology and Statistics, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Stephan Ripke
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin, Berlin, Germany
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Guy A Rouleau
- Montreal Neurological Institute and Hospital, McGill University, Montréal, Quebec, Canada
- Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Takeo Saito
- Department of Psychiatry, School of Medicine, Fujita Health University, Toyoake, Japan
| | - Ulrich Schall
- University of Newcastle, Newcastle, New South Wales, Australia
| | - Martin Schalling
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Peter R Schofield
- Neuroscience Research Australia, Sydney, New South Wales, Australia
- School of Medical Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Thomas G Schulze
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Laura J Scott
- Center for Statistical Genetics and Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - Rodney J Scott
- University of Newcastle, Newcastle, New South Wales, Australia
| | - Alessandro Serretti
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | - Cynthia Shannon Weickert
- Neuroscience Research Australia, Sydney, New South Wales, Australia
- School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
- Department of Neuroscience, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Jordan W Smoller
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Psychiatric and Neurodevelopmental Genetics Unit (PNGU), Massachusetts General Hospital, Boston, MA, USA
| | | | - Kari Stefansson
- deCODE Genetics/Amgen, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Eystein Stordal
- Department of Psychiatry, Hospital Namsos, Namsos, Norway
- Department of Neuroscience, Norges Teknisk Naturvitenskapelige Universitet Fakultet for Naturvitenskap og Teknologi, Trondheim, Norway
| | - Fabian Streit
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Patrick F Sullivan
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Gustavo Turecki
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Arne E Vaaler
- Department of Psychiatry, Sankt Olavs Hospital Universitetssykehuset i Trondheim, Trondheim, Norway
| | - Eduard Vieta
- Clinical Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Spain
| | - John B Vincent
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Irwin D Waldman
- Department of Psychology, Emory University, Atlanta, GA, USA
| | - Thomas W Weickert
- Neuroscience Research Australia, Sydney, New South Wales, Australia
- School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
- Department of Neuroscience, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Thomas Werge
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Institute of Biological Psychiatry, Mental Health Services, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Center for GeoGenetics, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Naomi R Wray
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
- Queensland Brain Institute, The University of Queensland, Brisbane, Queensland, Australia
| | - John-Anker Zwart
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- K. G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Research, Innovation and Education, Division of Clinical Neuroscience, Oslo University Hospital, Oslo, Norway
| | - Joanna M Biernacka
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - John I Nurnberger
- Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Sven Cichon
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Howard J Edenberg
- Department of Medical and Molecular Genetics, Indiana University, Indianapolis, IN, USA
- Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Eli A Stahl
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | | | - Arianna Di Florio
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Roel A Ophoff
- Department of Psychiatry and Biobehavioral Science, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA
- Department of Psychiatry, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Ole A Andreassen
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.
- NORMENT, University of Oslo, Oslo, Norway.
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Franklin C, Dwyer DS. Candidate risk genes for bipolar disorder are highly conserved during evolution and highly interconnected. Bipolar Disord 2021; 23:400-408. [PMID: 32959503 DOI: 10.1111/bdi.12996] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Revised: 07/24/2020] [Accepted: 09/12/2020] [Indexed: 12/21/2022]
Abstract
OBJECTIVES Bipolar disorder (BPD) is a highly heritable psychiatric disorder whose genetic complexity and pathogenetic mechanisms are still being unraveled. The main goal of this work was to characterize BPD risk-gene candidates (identified by Nurnberger et al., JAMA Psychiatry 71:657, 2014, and Stahl et al., Nat. Genet. 51:793, 2019) with respect to their evolutionary conservation, associated phenotypes, and extent of gene-gene interactions. METHODS Database searches and BLAST were used to identify homologous counterparts of human BPD risk genes in C. elegans, zebrafish, and Drosophila. Phenotypes associated with the C. elegans genes were annotated and searched. With GeneMANIA, we characterized and quantified gene-gene interactions among members of the BPD gene set in comparison to randomly chosen gene sets of the same size. RESULTS BPD risk genes are highly conserved across species and are enriched for essential genes and genes associated with lethality and altered life span. They are significantly more interactive with each other in comparison to random genes. We identified syntenic blocks of risk genes, which provided potential insights into molecular pathways and co-morbidities associated with BPD including coronary disease, obesity, and decreased life expectancy. CONCLUSIONS BPD risk genes appear to be special in terms of their degree of conservation, interconnectedness, and pleiotropic effects that extend beyond a role in brain function. Key hub genes or pleiotropic regulatory components may represent attractive targets for future drug discovery.
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Affiliation(s)
- Claire Franklin
- School of Medicine, LSU Health Shreveport, Shreveport, LA, USA.,LSU Health Sciences Center New Orleans, Shreveport, LA, USA
| | - Donard S Dwyer
- Departments of Psychiatry and Behavioral Medicine and Pharmacology, Toxicology and Neuroscience, LSU Health Shreveport, Shreveport, LA, USA
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Lai J, Jiang J, Zhang P, Xi C, Wu L, Gao X, Fu Y, Zhang D, Chen Y, Huang H, Zhu Y, Hu S. Impaired blood-brain barrier in the microbiota-gut-brain axis: Potential role of bipolar susceptibility gene TRANK1. J Cell Mol Med 2021; 25:6463-6469. [PMID: 34014031 PMCID: PMC8278099 DOI: 10.1111/jcmm.16611] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Revised: 04/04/2021] [Accepted: 04/15/2021] [Indexed: 02/06/2023] Open
Abstract
Bipolar disorder (BD) is a common psychiatric illness with high prevalence and disease burden. Accumulating susceptibility genes for BD have been identified in recent years. However, the exact functions of these genes remain largely unknown. Despite its high heritability, gene and environment interaction is commonly accepted as the major contributing factor to BD pathogenesis. Intestine microbiota is increasingly recognized as a critical environmental factor for human health and diseases via the microbiota‐gut‐brain axis. BD individuals showed altered diversity and compositions in the commensal microbiota. In addition to pro‐inflammatory factors, such as interleukin‐6 and tumour necrosis factor‐α, type 1 interferon signalling pathway is also modulated by specific intestinal bacterial strains. Disruption of the microbiota‐gut‐brain axis contributes to peripheral and central nervous system inflammation, which accounts for the BD aetiology. Administration of type 1 interferon can induce the expression of TRANK1, which is associated with elevated circulating biomarkers of the impaired blood‐brain barrier in BD patients. In this review, we focus on the influence of intestine microbiota on the expression of bipolar gene TRANK1 and propose that intestine microbiota‐dependent type 1 interferon signalling is sufficient to induce the over‐expression of TRANK1, consequently causing the compromise of BBB integrity and facilitating the entrance of inflammatory mediators into the brain. Activated neuroinflammation eventually contributes to the occurrence and development of BD. This review provides a new perspective on how gut microbiota participate in the pathogenesis of BD. Future studies are needed to validate these assumptions and develop new treatment targets for BD.
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Affiliation(s)
- Jianbo Lai
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.,The Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou, China.,Brain Research Institute of Zhejiang University, Hangzhou, China.,Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
| | - Jiajun Jiang
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Peifen Zhang
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Caixi Xi
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Lingling Wu
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xingle Gao
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yaoyang Fu
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Danhua Zhang
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yiqing Chen
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | | | - Yiyi Zhu
- Wenzhou Medical University, Wenzhou, China
| | - Shaohua Hu
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.,The Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou, China.,Brain Research Institute of Zhejiang University, Hangzhou, China.,Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
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44
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Li W, Cai X, Li HJ, Song M, Zhang CY, Yang Y, Zhang L, Zhao L, Liu W, Wang L, Shao M, Zhang Y, Zhang C, Cai J, Zhou DS, Li X, Hui L, Jia QF, Qu N, Zhong BL, Zhang SF, Chen J, Xia B, Li Y, Song X, Fan W, Tang W, Tang W, Tang J, Chen X, Yue W, Zhang D, Fang Y, Xiao X, Li M, Lv L, Chang H. Independent replications and integrative analyses confirm TRANK1 as a susceptibility gene for bipolar disorder. Neuropsychopharmacology 2021; 46:1103-1112. [PMID: 32791513 PMCID: PMC8114920 DOI: 10.1038/s41386-020-00788-4] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Revised: 07/02/2020] [Accepted: 07/27/2020] [Indexed: 02/07/2023]
Abstract
Genetic analyses for bipolar disorder (BD) have achieved prominent success in Europeans in recent years, whereas its genetic basis in other populations remains relatively less understood. We herein report that the leading risk locus for BD in European genome-wide association studies (GWAS), the single-nucleotide polymorphism (SNP) rs9834970 near TRANK1 at 3p22 region, is also genome-wide significantly associated with BD in a meta-analysis of four independent East Asian samples including 5748 cases and 65,361 controls (p = 2.27 × 10-8, odds ratio = 1.136). Expression quantitative trait loci (eQTL) analyses and summary data-based Mendelian randomization (SMR) analyses in multiple human brain samples suggest that lower TRANK1 mRNA expression is a principal BD risk factor explaining its genetic risk signals at 3p22. We also identified another SNP rs4789 in the 3' untranslated region (3'UTR) of TRANK1 showing stronger eQTL associations as well as genome-wide significant association with BD. Despite the relatively unclear neuronal function of TRANK1, our mRNA expression analyses in the human brains and in rat primary cortical neurons reveal that genes highly correlated with TRANK1 are significantly enriched in the biological processes related to dendritic spine, synaptic plasticity, axon guidance and circadian entrainment, and are also more likely to exhibit strong associations in psychiatric GWAS (e.g., the CACNA1C gene). Overall, our results support that TRANK1 is a potential BD risk gene. Further studies elucidating its roles in this illness are needed.
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Affiliation(s)
- Wenqiang Li
- grid.412990.70000 0004 1808 322XHenan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan China ,grid.412990.70000 0004 1808 322XHenan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, Henan China
| | - Xin Cai
- grid.9227.e0000000119573309Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan China ,grid.410726.60000 0004 1797 8419Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan China
| | - Hui-Juan Li
- grid.9227.e0000000119573309Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan China ,grid.410726.60000 0004 1797 8419Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan China
| | - Meng Song
- grid.412990.70000 0004 1808 322XHenan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan China ,grid.412990.70000 0004 1808 322XHenan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, Henan China
| | - Chu-Yi Zhang
- grid.9227.e0000000119573309Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan China ,grid.410726.60000 0004 1797 8419Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan China
| | - Yongfeng Yang
- grid.412990.70000 0004 1808 322XHenan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan China ,grid.412990.70000 0004 1808 322XHenan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, Henan China
| | - Luwen Zhang
- grid.412990.70000 0004 1808 322XHenan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan China ,grid.412990.70000 0004 1808 322XHenan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, Henan China
| | - Lijuan Zhao
- grid.9227.e0000000119573309Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan China ,grid.410726.60000 0004 1797 8419Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan China
| | - Weipeng Liu
- grid.9227.e0000000119573309Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan China ,grid.410726.60000 0004 1797 8419Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan China
| | - Lu Wang
- grid.9227.e0000000119573309Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan China ,grid.410726.60000 0004 1797 8419Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan China
| | - Minglong Shao
- grid.412990.70000 0004 1808 322XHenan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan China ,grid.412990.70000 0004 1808 322XHenan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, Henan China
| | - Yan Zhang
- grid.412990.70000 0004 1808 322XHenan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan China ,grid.412990.70000 0004 1808 322XHenan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, Henan China
| | - Chen Zhang
- grid.16821.3c0000 0004 0368 8293Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jun Cai
- grid.16821.3c0000 0004 0368 8293Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Dong-Sheng Zhou
- grid.452715.00000 0004 1782 599XDepartment of Psychiatry, Ningbo Kangning Hospital, Ningbo, Zhejiang China
| | - Xingxing Li
- grid.452715.00000 0004 1782 599XDepartment of Psychiatry, Ningbo Kangning Hospital, Ningbo, Zhejiang China
| | - Li Hui
- grid.263761.70000 0001 0198 0694Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu China
| | - Qiu-Fang Jia
- grid.263761.70000 0001 0198 0694Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu China
| | - Na Qu
- grid.33199.310000 0004 0368 7223Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei China ,grid.503241.10000 0004 1760 9015Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei China
| | - Bao-Liang Zhong
- grid.33199.310000 0004 0368 7223Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei China ,grid.503241.10000 0004 1760 9015Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei China
| | - Shu-Fang Zhang
- grid.33199.310000 0004 0368 7223Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei China ,grid.503241.10000 0004 1760 9015Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei China
| | - Jing Chen
- grid.33199.310000 0004 0368 7223Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei China ,grid.503241.10000 0004 1760 9015Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei China
| | - Bin Xia
- grid.33199.310000 0004 0368 7223Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei China ,grid.503241.10000 0004 1760 9015Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei China
| | - Yi Li
- grid.33199.310000 0004 0368 7223Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei China ,grid.503241.10000 0004 1760 9015Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei China
| | - Xueqin Song
- grid.412633.1The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan China
| | - Weixing Fan
- Jinhua Second Hospital, Jinhua, Zhejiang China
| | - Wei Tang
- grid.268099.c0000 0001 0348 3990Department of Psychiatry, The Affiliated Kangning Hospital of Wenzhou Medical University, Wenzhou, Zhejiang China
| | - Wenxin Tang
- grid.469604.90000 0004 1765 5222Hangzhou Seventh People’s Hospital, Hangzhou, Zhejiang China
| | - Jinsong Tang
- grid.13402.340000 0004 1759 700XDepartment of Psychiatry, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang China ,Key Laboratory of Medical Neurobiology of Zhejiang Province, Hangzhou, Zhejiang China
| | - Xiaogang Chen
- grid.216417.70000 0001 0379 7164Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, Hunan China ,National Clinical Research Center for Mental Disorders, Changsha, Hunan China ,National Technology Institute of Mental Disorders, Changsha, Hunan China ,Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan China ,grid.489086.bMental Health Institute of Central South University, Changsha, Hunan China ,Hunan Medical Center for Mental Health, Changsha, Hunan China
| | - Weihua Yue
- grid.11135.370000 0001 2256 9319Peking University Sixth Hospital/Institute of Mental Health, Beijing, China ,grid.459847.30000 0004 1798 0615NHC Key Laboratory of Mental Health (Peking University) and National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China ,grid.11135.370000 0001 2256 9319Peking-Tsinghua Joint Center for Life Sciences and PKU IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
| | - Dai Zhang
- grid.11135.370000 0001 2256 9319Peking University Sixth Hospital/Institute of Mental Health, Beijing, China ,grid.459847.30000 0004 1798 0615NHC Key Laboratory of Mental Health (Peking University) and National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China ,grid.11135.370000 0001 2256 9319Peking-Tsinghua Joint Center for Life Sciences and PKU IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
| | - Yiru Fang
- grid.16821.3c0000 0004 0368 8293Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiao Xiao
- grid.9227.e0000000119573309Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan China
| | - Ming Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China. .,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China. .,KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.
| | - Luxian Lv
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, China. .,Henan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, Henan, China. .,Henan Province People's Hospital, Zhengzhou, Henan, China.
| | - Hong Chang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.
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Pu X, Li J, Ma X, Yang S, Wang L. The functional polymorphisms linked with interleukin-1β gene expression are associated with bipolar disorder. Psychiatr Genet 2021; 31:72-78. [PMID: 33707400 DOI: 10.1097/ypg.0000000000000272] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Bipolar disorder (BD) is a severe psychiatric illness attributable to multifactorial risk components (e.g. environmental stimuli, neuroinflammation, etc.), and genetic variations affecting these risk components are considered pivotal predisposing factors. The interleukin-1β (IL-1β) gene and its protein product have been repeatedly highlighted in the pathogenesis of BD. As functional polymorphisms and haplotypes linked with IL-1β mRNA expression have been reported, whether they are correlated with the risk of developing BD remains to be tested. METHODS To examine whether variations in the IL-1β gene locus confer genetic risk of BD, we recruited 930 BD patients and 912 healthy controls for the current study. All subjects were Han Chinese, and were age- and gender-matched. We tested seven functional single nucleotide polymorphisms (SNPs) spanning the IL-1β gene and one haplotype composed of three SNPs for their associations with risk of BD. RESULTS We found that the functional SNPs in the promoter region of IL-1β gene were significantly associated with risk of BD. The haplotype analyses further supported the involvement of IL-1β promoter SNPs in BD. The BD risk SNPs in our study have been previously reported to predict higher IL-1β levels in the brain and peripheral blood, which is consistent with the clinical observation of elevated IL-1β levels in the lymphocytes or peripheral blood of patients with BD compared with healthy subjects. CONCLUSION Our results support the contention that IL-1β is likely a risk gene for BD, and further investigations on this gene may promote our understanding and clinical management of this illness.
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Affiliation(s)
- Xingfu Pu
- The Second People's Hospital of Yuxi City, Yuxi, Yunnan, China
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46
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Looking for Sunshine: Genetic Predisposition to Sun Seeking in 265,000 Individuals of European Ancestry. J Invest Dermatol 2021; 141:779-786. [DOI: 10.1016/j.jid.2020.08.014] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2020] [Revised: 07/04/2020] [Accepted: 08/05/2020] [Indexed: 11/23/2022]
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47
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Andlauer TFM, Guzman-Parra J, Streit F, Strohmaier J, González MJ, Gil Flores S, Cabaleiro Fabeiro FJ, Del Río Noriega F, Perez FP, Haro González J, Orozco Diaz G, de Diego-Otero Y, Moreno-Küstner B, Auburger G, Degenhardt F, Heilmann-Heimbach S, Herms S, Hoffmann P, Frank J, Foo JC, Treutlein J, Witt SH, Cichon S, Kogevinas M, Rivas F, Mayoral F, Müller-Myhsok B, Forstner AJ, Nöthen MM, Rietschel M. Bipolar multiplex families have an increased burden of common risk variants for psychiatric disorders. Mol Psychiatry 2021; 26:1286-1298. [PMID: 31712721 PMCID: PMC7985020 DOI: 10.1038/s41380-019-0558-2] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2018] [Revised: 07/17/2019] [Accepted: 07/24/2019] [Indexed: 12/13/2022]
Abstract
Multiplex families with a high prevalence of a psychiatric disorder are often examined to identify rare genetic variants with large effect sizes. In the present study, we analysed whether the risk for bipolar disorder (BD) in BD multiplex families is influenced by common genetic variants. Furthermore, we investigated whether this risk is conferred mainly by BD-specific risk variants or by variants also associated with the susceptibility to schizophrenia or major depression. In total, 395 individuals from 33 Andalusian BD multiplex families (166 BD, 78 major depressive disorder, 151 unaffected) as well as 438 subjects from an independent, BD case/control cohort (161 unrelated BD, 277 unrelated controls) were analysed. Polygenic risk scores (PRS) for BD, schizophrenia (SCZ), and major depression were calculated and compared between the cohorts. Both the familial BD cases and unaffected family members had higher PRS for all three psychiatric disorders than the independent controls, with BD and SCZ being significant after correction for multiple testing, suggesting a high baseline risk for several psychiatric disorders in the families. Moreover, familial BD cases showed significantly higher BD PRS than unaffected family members and unrelated BD cases. A plausible hypothesis is that, in multiplex families with a general increase in risk for psychiatric disease, BD development is attributable to a high burden of common variants that confer a specific risk for BD. The present analyses demonstrated that common genetic risk variants for psychiatric disorders are likely to contribute to the high incidence of affective psychiatric disorders in the multiplex families. However, the PRS explained only part of the observed phenotypic variance, and rare variants might have also contributed to disease development.
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Affiliation(s)
- Till F M Andlauer
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
- Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Jose Guzman-Parra
- Department of Mental Health, University Regional Hospital of Málaga, Institute of Biomedicine of Málaga (IBIMA), Málaga, Spain
| | - Fabian Streit
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Jana Strohmaier
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | | | - Susana Gil Flores
- Department of Mental Health, University Hospital of Reina Sofia, Córdoba, Spain
| | | | | | | | | | - Guillermo Orozco Diaz
- Unidad de Gestión Clínica del Dispositivo de Cuidados Críticos y Urgencias del Distrito Sanitario Málaga-Coin-Guadalhorce, Málaga, Spain
| | - Yolanda de Diego-Otero
- Department of Mental Health, University Regional Hospital of Málaga, Institute of Biomedicine of Málaga (IBIMA), Málaga, Spain
| | - Berta Moreno-Küstner
- Department of Personality, Assessment and Psychological Treatment, University of Malaga, Institute of Biomedicine of Málaga (IBIMA), Málaga, Spain
| | - Georg Auburger
- Department of Neurology, Goethe University Medical School, Frankfurt am Main, Germany
| | - Franziska Degenhardt
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Stefanie Heilmann-Heimbach
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Stefan Herms
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
- Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Per Hoffmann
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Neuroscience and Medicine (INM-1), Research Center Jülich, Jülich, Germany
| | - Josef Frank
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Jerome C Foo
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Jens Treutlein
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Stephanie H Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Sven Cichon
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Neuroscience and Medicine (INM-1), Research Center Jülich, Jülich, Germany
| | | | - Fabio Rivas
- Department of Mental Health, University Regional Hospital of Málaga, Institute of Biomedicine of Málaga (IBIMA), Málaga, Spain
| | - Fermín Mayoral
- Department of Mental Health, University Regional Hospital of Málaga, Institute of Biomedicine of Málaga (IBIMA), Málaga, Spain
| | - Bertram Müller-Myhsok
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- Institute of Translational Medicine, University of Liverpool, Liverpool, UK
| | - Andreas J Forstner
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Centre for Human Genetics, University of Marburg, Marburg, Germany
- Department of Psychiatry (UPK), University of Basel, Basel, Switzerland
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
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48
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Corpas M, Megy K, Mistry V, Metastasio A, Lehmann E. Whole Genome Interpretation for a Family of Five. Front Genet 2021; 12:535123. [PMID: 33763108 PMCID: PMC7982663 DOI: 10.3389/fgene.2021.535123] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Accepted: 02/15/2021] [Indexed: 12/19/2022] Open
Abstract
Although best practices have emerged on how to analyse and interpret personal genomes, the utility of whole genome screening remains underdeveloped. A large amount of information can be gathered from various types of analyses via whole genome sequencing including pathogenicity screening, genetic risk scoring, fitness, nutrition, and pharmacogenomic analysis. We recognize different levels of confidence when assessing the validity of genetic markers and apply rigorous standards for evaluation of phenotype associations. We illustrate the application of this approach on a family of five. By applying analyses of whole genomes from different methodological perspectives, we are able to build a more comprehensive picture to assist decision making in preventative healthcare and well-being management. Our interpretation and reporting outputs provide input for a clinician to develop a healthcare plan for the individual, based on genetic and other healthcare data.
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Affiliation(s)
- Manuel Corpas
- Cambridge Precision Medicine Limited, ideaSpace, University of Cambridge Biomedical Innovation Hub, Cambridge, United Kingdom.,Institute of Continuing Education Madingley Hall Madingley, University of Cambridge, Cambridge, United Kingdom.,Facultad de Ciencias de la Salud, Universidad Internacional de La Rioja, Madrid, Spain
| | - Karyn Megy
- Cambridge Precision Medicine Limited, ideaSpace, University of Cambridge Biomedical Innovation Hub, Cambridge, United Kingdom.,Department of Haematology, University of Cambridge & National Health Service (NHS) Blood and Transplant, Cambridge, United Kingdom
| | | | - Antonio Metastasio
- Cambridge Precision Medicine Limited, ideaSpace, University of Cambridge Biomedical Innovation Hub, Cambridge, United Kingdom.,Camden and Islington NHS Foundation Trust, London, United Kingdom
| | - Edmund Lehmann
- Cambridge Precision Medicine Limited, ideaSpace, University of Cambridge Biomedical Innovation Hub, Cambridge, United Kingdom
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49
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Bentz AB, Niederhuth CE, Carruth LL, Navara KJ. Prenatal testosterone triggers long-term behavioral changes in male zebra finches: unravelling the neurogenomic mechanisms. BMC Genomics 2021; 22:158. [PMID: 33676394 PMCID: PMC7937265 DOI: 10.1186/s12864-021-07466-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Accepted: 02/22/2021] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Maternal hormones, like testosterone, can strongly influence developing offspring, even generating long-term organizational effects on adult behavior; yet, the mechanisms facilitating these effects are still unclear. Here, we experimentally elevated prenatal testosterone in the eggs of zebra finches (Taeniopygia guttata) and measured male aggression in adulthood along with patterns of neural gene expression (RNA-seq) and DNA methylation (MethylC-Seq) in two socially relevant brain regions (hypothalamus and nucleus taenia of the amygdala). We used enrichment analyses and protein-protein interaction networks to find candidate processes and hub genes potentially affected by the treatment. We additionally identified differentially expressed genes that contained differentially methylated regions. RESULTS We found that males from testosterone-injected eggs displayed more aggressive behaviors compared to males from control eggs. Hundreds of genes were differentially expressed, particularly in the hypothalamus, including potential aggression-related hub genes (e.g., brain derived neurotrophic factor). There were also enriched processes with well-established links to aggressive phenotypes (e.g., somatostatin and glutamate signaling). Furthermore, several highly connected genes identified in protein-protein interaction networks also showed differential methylation, including adenylate cyclase 2 and proprotein convertase 2. CONCLUSIONS These results highlight genes and processes that may play an important role in mediating the effects of prenatal testosterone on long-term phenotypic outcomes, thereby providing insights into the molecular mechanisms that facilitate hormone-mediated maternal effects.
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Affiliation(s)
- Alexandra B Bentz
- Department of Biology, Indiana University, Bloomington, IN, 47405, USA.
- Center for the Integrative Study of Animal Behavior, Indiana University, Bloomington, IN, 47405, USA.
- Poultry Science Department, University of Georgia, Athens, GA, 30602, USA.
| | - Chad E Niederhuth
- Department of Plant Biology, Michigan State University, East Lansing, MI, 48823, USA
| | - Laura L Carruth
- Neuroscience Institute, Georgia State University, Atlanta, GA, 30303, USA
| | - Kristen J Navara
- Poultry Science Department, University of Georgia, Athens, GA, 30602, USA
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50
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Toma C, Shaw AD, Heath A, Pierce KD, Mitchell PB, Schofield PR, Fullerton JM. A linkage and exome study of multiplex families with bipolar disorder implicates rare coding variants of ANK3 and additional rare alleles at 10q11-q21. J Psychiatry Neurosci 2021; 46:E247-E257. [PMID: 33729739 PMCID: PMC8061732 DOI: 10.1503/jpn.200083] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Bipolar disorder is a highly heritable psychiatric condition for which specific genetic factors remain largely unknown. In the present study, we used combined whole-exome sequencing and linkage analysis to identify risk loci and dissect the contribution of common and rare variants in families with a high density of illness. METHODS Overall, 117 participants from 15 Australian extended families with bipolar disorder (72 with affective disorder, including 50 with bipolar disorder type I or II, 13 with schizoaffective disorder-manic type and 9 with recurrent unipolar disorder) underwent whole-exome sequencing. We performed genome-wide linkage analysis using MERLIN and conditional linkage analysis using LAMP. We assessed the contribution of potentially functional rare variants using a genebased segregation test. RESULTS We identified a significant linkage peak on chromosome 10q11-q21 (maximal single nucleotide polymorphism = rs10761725; exponential logarithm of the odds [LODexp] = 3.03; empirical p = 0.046). The linkage interval spanned 36 protein-coding genes, including a gene associated with bipolar disorder, ankyrin 3 (ANK3). Conditional linkage analysis showed that common ANK3 risk variants previously identified in genome-wide association studies - or variants in linkage disequilibrium with those variants - did not explain the linkage signal (rs10994397 LOD = 0.63; rs9804190 LOD = 0.04). A family-based segregation test with 34 rare variants from 14 genes under the linkage interval suggested rare variant contributions of 3 brain-expressed genes: NRBF2 (p = 0.005), PCDH15 (p = 0.002) and ANK3 (p = 0.014). LIMITATIONS We did not examine non-coding variants, but they may explain the remaining linkage signal. CONCLUSION Combining family-based linkage analysis with next-generation sequencing data is effective for identifying putative disease genes and specific risk variants in complex disorders. We identified rare missense variants in ANK3, PCDH15 and NRBF2 that could confer disease risk, providing valuable targets for functional characterization.
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Affiliation(s)
- Claudio Toma
- From Neuroscience Research Australia, Sydney, Australia (Toma, Shaw, Heath, Pierce, Schofield); the School of Medical Sciences, University of New South Wales, Sydney, Australia (Toma, Shaw, Schofield, Fullerton); the Centro de Biología Molecular 'Severo Ochoa', Universidad Autónoma de Madrid/CSIC, Madrid, Spain (Toma); the School of Psychiatry, University of New South Wales, Sydney, Australia (Mitchell); and the Black Dog Institute, Prince of Wales Hospital, Sydney, Australia (Mitchell)
| | - Alex D Shaw
- From Neuroscience Research Australia, Sydney, Australia (Toma, Shaw, Heath, Pierce, Schofield); the School of Medical Sciences, University of New South Wales, Sydney, Australia (Toma, Shaw, Schofield, Fullerton); the Centro de Biología Molecular 'Severo Ochoa', Universidad Autónoma de Madrid/CSIC, Madrid, Spain (Toma); the School of Psychiatry, University of New South Wales, Sydney, Australia (Mitchell); and the Black Dog Institute, Prince of Wales Hospital, Sydney, Australia (Mitchell)
| | - Anna Heath
- From Neuroscience Research Australia, Sydney, Australia (Toma, Shaw, Heath, Pierce, Schofield); the School of Medical Sciences, University of New South Wales, Sydney, Australia (Toma, Shaw, Schofield, Fullerton); the Centro de Biología Molecular 'Severo Ochoa', Universidad Autónoma de Madrid/CSIC, Madrid, Spain (Toma); the School of Psychiatry, University of New South Wales, Sydney, Australia (Mitchell); and the Black Dog Institute, Prince of Wales Hospital, Sydney, Australia (Mitchell)
| | - Kerrie D Pierce
- From Neuroscience Research Australia, Sydney, Australia (Toma, Shaw, Heath, Pierce, Schofield); the School of Medical Sciences, University of New South Wales, Sydney, Australia (Toma, Shaw, Schofield, Fullerton); the Centro de Biología Molecular 'Severo Ochoa', Universidad Autónoma de Madrid/CSIC, Madrid, Spain (Toma); the School of Psychiatry, University of New South Wales, Sydney, Australia (Mitchell); and the Black Dog Institute, Prince of Wales Hospital, Sydney, Australia (Mitchell)
| | - Philip B Mitchell
- From Neuroscience Research Australia, Sydney, Australia (Toma, Shaw, Heath, Pierce, Schofield); the School of Medical Sciences, University of New South Wales, Sydney, Australia (Toma, Shaw, Schofield, Fullerton); the Centro de Biología Molecular 'Severo Ochoa', Universidad Autónoma de Madrid/CSIC, Madrid, Spain (Toma); the School of Psychiatry, University of New South Wales, Sydney, Australia (Mitchell); and the Black Dog Institute, Prince of Wales Hospital, Sydney, Australia (Mitchell)
| | - Peter R Schofield
- From Neuroscience Research Australia, Sydney, Australia (Toma, Shaw, Heath, Pierce, Schofield); the School of Medical Sciences, University of New South Wales, Sydney, Australia (Toma, Shaw, Schofield, Fullerton); the Centro de Biología Molecular 'Severo Ochoa', Universidad Autónoma de Madrid/CSIC, Madrid, Spain (Toma); the School of Psychiatry, University of New South Wales, Sydney, Australia (Mitchell); and the Black Dog Institute, Prince of Wales Hospital, Sydney, Australia (Mitchell)
| | - Janice M Fullerton
- From Neuroscience Research Australia, Sydney, Australia (Toma, Shaw, Heath, Pierce, Schofield); the School of Medical Sciences, University of New South Wales, Sydney, Australia (Toma, Shaw, Schofield, Fullerton); the Centro de Biología Molecular 'Severo Ochoa', Universidad Autónoma de Madrid/CSIC, Madrid, Spain (Toma); the School of Psychiatry, University of New South Wales, Sydney, Australia (Mitchell); and the Black Dog Institute, Prince of Wales Hospital, Sydney, Australia (Mitchell)
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