51
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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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52
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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: 5] [Impact Index Per Article: 1.7] [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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53
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Wang C, Wallerman O, Arendt ML, Sundström E, Karlsson Å, Nordin J, Mäkeläinen S, Pielberg GR, Hanson J, Ohlsson Å, Saellström S, Rönnberg H, Ljungvall I, Häggström J, Bergström TF, Hedhammar Å, Meadows JRS, Lindblad-Toh K. A novel canine reference genome resolves genomic architecture and uncovers transcript complexity. Commun Biol 2021; 4:185. [PMID: 33568770 PMCID: PMC7875987 DOI: 10.1038/s42003-021-01698-x] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Accepted: 12/17/2020] [Indexed: 12/13/2022] Open
Abstract
We present GSD_1.0, a high-quality domestic dog reference genome with chromosome length scaffolds and contiguity increased 55-fold over CanFam3.1. Annotation with generated and existing long and short read RNA-seq, miRNA-seq and ATAC-seq, revealed that 32.1% of lifted over CanFam3.1 gaps harboured previously hidden functional elements, including promoters, genes and miRNAs in GSD_1.0. A catalogue of canine "dark" regions was made to facilitate mapping rescue. Alignment in these regions is difficult, but we demonstrate that they harbour trait-associated variation. Key genomic regions were completed, including the Dog Leucocyte Antigen (DLA), T Cell Receptor (TCR) and 366 COSMIC cancer genes. 10x linked-read sequencing of 27 dogs (19 breeds) uncovered 22.1 million SNPs, indels and larger structural variants. Subsequent intersection with protein coding genes showed that 1.4% of these could directly influence gene products, and so provide a source of normal or aberrant phenotypic modifications.
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Affiliation(s)
- Chao Wang
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden.
| | - Ola Wallerman
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
| | - Maja-Louise Arendt
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
- Department of Veterinary Clinical Sciences, University of Copenhagen, Frederiksberg D, Denmark
| | - Elisabeth Sundström
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
| | - Åsa Karlsson
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
| | - Jessika Nordin
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
| | - Suvi Mäkeläinen
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Gerli Rosengren Pielberg
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
| | - Jeanette Hanson
- Department of Clinical Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Åsa Ohlsson
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Sara Saellström
- Department of Clinical Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Henrik Rönnberg
- Department of Clinical Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Ingrid Ljungvall
- Department of Clinical Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Jens Häggström
- Department of Clinical Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Tomas F Bergström
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Åke Hedhammar
- Department of Clinical Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Jennifer R S Meadows
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
| | - Kerstin Lindblad-Toh
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
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54
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Huang K, Wu Y, Shin J, Zheng Y, Siahpirani AF, Lin Y, Ni Z, Chen J, You J, Keles S, Wang D, Roy S, Lu Q. Transcriptome-wide transmission disequilibrium analysis identifies novel risk genes for autism spectrum disorder. PLoS Genet 2021; 17:e1009309. [PMID: 33539344 PMCID: PMC7888619 DOI: 10.1371/journal.pgen.1009309] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 02/17/2021] [Accepted: 12/11/2020] [Indexed: 12/16/2022] Open
Abstract
Recent advances in consortium-scale genome-wide association studies (GWAS) have highlighted the involvement of common genetic variants in autism spectrum disorder (ASD), but our understanding of their etiologic roles, especially the interplay with rare variants, is incomplete. In this work, we introduce an analytical framework to quantify the transmission disequilibrium of genetically regulated gene expression from parents to offspring. We applied this framework to conduct a transcriptome-wide association study (TWAS) on 7,805 ASD proband-parent trios, and replicated our findings using 35,740 independent samples. We identified 31 associations at the transcriptome-wide significance level. In particular, we identified POU3F2 (p = 2.1E-7), a transcription factor mainly expressed in developmental brain. Gene targets regulated by POU3F2 showed a 2.7-fold enrichment for known ASD genes (p = 2.0E-5) and a 2.7-fold enrichment for loss-of-function de novo mutations in ASD probands (p = 7.1E-5). These results provide a novel connection between rare and common variants, whereby ASD genes affected by very rare mutations are regulated by an unlinked transcription factor affected by common genetic variations.
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Affiliation(s)
- Kunling Huang
- Department of Statistics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
| | - Yuchang Wu
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
| | - Junha Shin
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
| | - Ye Zheng
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Alireza Fotuhi Siahpirani
- Department of Computer Sciences, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
| | - Yupei Lin
- University of Wisconsin-Madison, Madison, Wisconsin, United States of America
| | - Zheng Ni
- University of Wisconsin-Madison, Madison, Wisconsin, United States of America
| | - Jiawen Chen
- University of Wisconsin-Madison, Madison, Wisconsin, United States of America
| | - Jing You
- University of Wisconsin-Madison, Madison, Wisconsin, United States of America
| | - Sunduz Keles
- Department of Statistics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
- Waisman Center, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
| | - Daifeng Wang
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
- Waisman Center, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
| | - Sushmita Roy
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
- Department of Computer Sciences, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
| | - Qiongshi Lu
- Department of Statistics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
- Center for Demography of Health and Aging, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
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55
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Paul P, Nadella RK, Viswanath B, Reddy YCJ, Jain S, Purushottam M. Does CACNA1C rs1006737 genotype play a role in lithium treatment response in bipolar disorder patients? Asian J Psychiatr 2021; 56:102525. [PMID: 33418281 DOI: 10.1016/j.ajp.2020.102525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Accepted: 12/10/2020] [Indexed: 10/22/2022]
Affiliation(s)
- Pradip Paul
- Molecular Genetics Laboratory, Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bangalore, India
| | - Ravi Kumar Nadella
- Molecular Genetics Laboratory, Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bangalore, India
| | - Biju Viswanath
- Molecular Genetics Laboratory, Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bangalore, India
| | - Y C Janardhan Reddy
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bangalore, India
| | - Sanjeev Jain
- Molecular Genetics Laboratory, Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bangalore, India
| | - Meera Purushottam
- Molecular Genetics Laboratory, Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bangalore, India.
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56
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Stone W, Nunes A, Akiyama K, Akula N, Ardau R, Aubry JM, Backlund L, Bauer M, Bellivier F, Cervantes P, Chen HC, Chillotti C, Cruceanu C, Dayer A, Degenhardt F, Del Zompo M, Forstner AJ, Frye M, Fullerton JM, Grigoroiu-Serbanescu M, Grof P, Hashimoto R, Hou L, Jiménez E, Kato T, Kelsoe J, Kittel-Schneider S, Kuo PH, Kusumi I, Lavebratt C, Manchia M, Martinsson L, Mattheisen M, McMahon FJ, Millischer V, Mitchell PB, Nöthen MM, O'Donovan C, Ozaki N, Pisanu C, Reif A, Rietschel M, Rouleau G, Rybakowski J, Schalling M, Schofield PR, Schulze TG, Severino G, Squassina A, Veeh J, Vieta E, Trappenberg T, Alda M. Prediction of lithium response using genomic data. Sci Rep 2021; 11:1155. [PMID: 33441847 PMCID: PMC7806976 DOI: 10.1038/s41598-020-80814-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Accepted: 12/18/2020] [Indexed: 12/23/2022] Open
Abstract
Predicting lithium response prior to treatment could both expedite therapy and avoid exposure to side effects. Since lithium responsiveness may be heritable, its predictability based on genomic data is of interest. We thus evaluate the degree to which lithium response can be predicted with a machine learning (ML) approach using genomic data. Using the largest existing genomic dataset in the lithium response literature (n = 2210 across 14 international sites; 29% responders), we evaluated the degree to which lithium response could be predicted based on 47,465 genotyped single nucleotide polymorphisms using a supervised ML approach. Under appropriate cross-validation procedures, lithium response could be predicted to above-chance levels in two constituent sites (Halifax, Cohen’s kappa 0.15, 95% confidence interval, CI [0.07, 0.24]; and Würzburg, kappa 0.2 [0.1, 0.3]). Variants with shared importance in these models showed over-representation of postsynaptic membrane related genes. Lithium response was not predictable in the pooled dataset (kappa 0.02 [− 0.01, 0.04]), although non-trivial performance was achieved within a restricted dataset including only those patients followed prospectively (kappa 0.09 [0.04, 0.14]). Genomic classification of lithium response remains a promising but difficult task. Classification performance could potentially be improved by further harmonization of data collection procedures.
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Affiliation(s)
- William Stone
- Faculty of Computer Science, Dalhousie University, Halifax, NS, Canada
| | - Abraham Nunes
- Faculty of Computer Science, Dalhousie University, Halifax, NS, Canada.,Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Kazufumi Akiyama
- Department of Biological Psychiatry and Neuroscience, Dokkyo Medical University School of Medicine, Mibu, Tochigi, Japan
| | | | - Raffaella Ardau
- Unit of Clinical Pharmacology, University Hospital of Cagliari, Cagliari, Italy
| | - Jean-Michel Aubry
- Department of Psychiatry, University of Geneva, Geneva, Switzerland.,Department of Psychiatry, University of Geneva Hospitals, Geneva, Switzerland
| | - Lena Backlund
- Department of Clinical Neuroscience, the Centre for Psychiatric Research, Karolinska Institutet, Stockholm, Sweden.,Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.,Karolinska University Hospital, Center for Molecular Medicine, Stockholm, Sweden
| | - Michael Bauer
- Department of Psychiatry and Psychotherapy, Medical Faculty, Technische Universität Berlin, Dresden, Germany
| | - Frank Bellivier
- Université Paris Diderot, Paris, France.,Inserm, U1144, Team 1, Paris, France
| | - Pablo Cervantes
- Department of Psychiatry, McGill University, Montreal, Canada
| | - Hsi-Chung Chen
- Department of Psychiatry, National Taiwan University Hospital, Taipei, Taiwan
| | - Caterina Chillotti
- Unit of Clinical Pharmacology, University Hospital of Cagliari, Cagliari, Italy
| | - Cristiana Cruceanu
- Department of Translational Research, Max Planck Institute of Psychiatry, Munich, Germany
| | - Alexandre Dayer
- Department of Psychiatry, University of Geneva, Geneva, Switzerland.,Department of Basic Neurosciences, University of Geneva, Geneva, Switzerland
| | - Franziska Degenhardt
- Institute of Human Genetics, School of Medicine, University Hospital Bonn, University of Bonn, Bonn, Germany.,Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Essen, Essen, Germany
| | - Maria Del Zompo
- Unit of Clinical Pharmacology, University Hospital of Cagliari, Cagliari, Italy.,Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy
| | - Andreas J Forstner
- Institute of Human Genetics, School of Medicine, University Hospital Bonn, University of Bonn, Bonn, Germany.,Centre for Human Genetics, University of Marburg, Marburg, Germany
| | - Mark Frye
- Department of Psychiatry, Mayo Clinic, Rochester, USA
| | | | - Maria Grigoroiu-Serbanescu
- Biometric Psychiatric Genetics Research Unit, Alexandru Obregia Clinical Psychiatric Hospital, Bucharest, Romania
| | - Paul Grof
- Mood Disorders Center Ottawa, Ottawa, Canada
| | - Ryota Hashimoto
- Department of Pathology of Mental Diseases, National Institute of Mental Health, Tokyo, Japan.,Department of Psychiatry, Osaka University, Osaka, Japan
| | - Liping Hou
- National Institute of Mental Health, Bethesda, USA
| | - Esther Jiménez
- Hospital Clinic, University of Barcelona, Barcelona, Spain.,Institut d'Investigacio Biomedica August Pi i Sunyer, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
| | - Tadafumi Kato
- Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Center for Brain Science, Wako, Japan
| | - John Kelsoe
- Department of Psychiatry, UCSD, San Diego, CA, USA
| | - Sarah Kittel-Schneider
- Department of Psychiatry, Psychotherapy and Psychosomatic Medicine, University Hospital of Frankfurt, Frankfurt am Main, Germany.,Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital of Würzburg, Würzburg, Germany
| | - Po-Hsiu Kuo
- Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei, Taiwan.,Department of Public Health, National Taiwan University, Taipei, Taiwan
| | - Ichiro Kusumi
- Department of Psychiatry, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Catharina Lavebratt
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.,Karolinska University Hospital, Center for Molecular Medicine, Stockholm, Sweden
| | - Mirko Manchia
- Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.,Department of Pharmacology, Dalhousie University, Halifax, NS, Canada
| | - Lina Martinsson
- Department of Clinical Neuroscience, the Centre for Psychiatric Research, Karolinska Institutet, Stockholm, Sweden
| | | | | | - Vincent Millischer
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.,Karolinska University Hospital, Center for Molecular Medicine, Stockholm, Sweden
| | - Philip B Mitchell
- School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - Claire O'Donovan
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Norio Ozaki
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Claudia Pisanu
- Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy
| | - Andreas Reif
- Department of Psychiatry, Psychotherapy and Psychosomatic Medicine, University Hospital of Frankfurt, Frankfurt am Main, Germany
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Guy Rouleau
- Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Janusz Rybakowski
- Department of Adult Psychiatry, Poznan University of Medical Sciences, Poznan, Poland
| | - Martin Schalling
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.,Karolinska University Hospital, Center for Molecular Medicine, Stockholm, Sweden
| | - Peter R Schofield
- School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Thomas G Schulze
- Institute of Psychiatric Phenomics and Genomics, University of Munich, Munich, Germany
| | - Giovanni Severino
- Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy
| | - Alessio Squassina
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada.,Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy
| | - Julia Veeh
- Department of Psychiatry, Psychotherapy and Psychosomatic Medicine, University Hospital of Frankfurt, Frankfurt am Main, Germany
| | - Eduard Vieta
- Hospital Clinic, University of Barcelona, Barcelona, Spain.,Institut d'Investigacio Biomedica August Pi i Sunyer, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
| | | | - Martin Alda
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada.
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57
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Abstract
Bipolar disorder (BP) is a highly heritable disease, with heritability estimated between 60 and 85% by twin studies. The underlying genetic architecture was poorly understood for years since the available technology was limited to the candidate gene approach that did not allow to explore the contribution of multiple loci throughout the genome. BP is a complex disorder, which pathogenesis is influenced by a number of genetic variants, each with small effect size, and environmental exposures. Genome-wide association studies (GWAS) provided meaningful insights into the genetics of BP, including replicated genetic variants, and allowed the development of novel multi-marker methods for gene/pathway analysis and for estimating the genetic overlap between BP and other traits. However, the existing GWAS had also relevant limitations. Notably insufficient statistical power and lack of consideration of rare variants, which may be responsible for the relatively low heritability explained (~20% in the largest GWAS) compared to twin studies. The availability of data from large biobanks and automated phenotyping from electronic health records or digital phenotyping represent key steps for providing samples with adequate power for genetic analysis. Next-generation sequencing is becoming more and more feasible in terms of costs, leading to the rapid growth in the number of samples with whole-genome or whole-exome sequence data. These recent and unprecedented resources are of key importance for a more comprehensive understanding of the specific genetic factors involved in BP and their mechanistic action in determining disease onset and prognosis.
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Affiliation(s)
- Chiara Fabbri
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
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58
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Zhang C, Xiao X, Li T, Li M. Translational genomics and beyond in bipolar disorder. Mol Psychiatry 2021; 26:186-202. [PMID: 32424235 DOI: 10.1038/s41380-020-0782-9] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Revised: 05/05/2020] [Accepted: 05/07/2020] [Indexed: 02/08/2023]
Abstract
Genome-wide association studies (GWAS) have revealed multiple genomic loci conferring risk of bipolar disorder (BD), providing hints for its underlying pathobiology. However, there are still remaining questions to answer. For example, discordance exists between BD heritability estimated with earlier epidemiological evidence and that calculated based on common GWAS variations. Where is the "missing heritability"? How can we explain the biology of the disease based on genetic findings? In this review, we summarize the accomplishments and limitations of current BD GWAS, and discuss potential reasons for the "missing heritability." In addition, progresses of research for the biological mechanisms underlying BD genetic risk using brain tissues, reprogrammed cells, and model animals are reviewed. While our knowledge of BD genetic basis is significantly promoted by these efforts, the complexities of gene regulation in the genome, the spatial-temporal heterogeneity during brain development, and the limitations of different experimental models should always be considered. Notably, several genes have been widely studied given their relatively well-characterized involvement in BD (e.g., CACAN1C and ANK3), and findings of these genes are summarized to both outline possible biological mechanisms of BD and describe examples of translating GWAS discoveries into the pathophysiology.
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Affiliation(s)
- Chen Zhang
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiao Xiao
- 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
| | - Tao Li
- Mental Health Center and Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China. .,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, 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.
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Liu D, Nguyen TTL, Gao H, Huang H, Kim DC, Sharp B, Ye Z, Lee JH, Coombes BJ, Ordog T, Wang L, Biernacka JM, Frye MA, Weinshilboum RM. TCF7L2 lncRNA: a link between bipolar disorder and body mass index through glucocorticoid signaling. Mol Psychiatry 2021; 26:7454-7464. [PMID: 34535768 PMCID: PMC8872993 DOI: 10.1038/s41380-021-01274-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2021] [Revised: 07/21/2021] [Accepted: 08/19/2021] [Indexed: 02/08/2023]
Abstract
Bipolar disorder (BD) and obesity are highly comorbid. We previously performed a genome-wide association study (GWAS) for BD risk accounting for the effect of body mass index (BMI), which identified a genome-wide significant single-nucleotide polymorphism (SNP) in the gene encoding the transcription factor 7 like 2 (TCF7L2). However, the molecular function of TCF7L2 in the central nervous system (CNS) and its possible role in the BD and BMI interaction remained unclear. In the present study, we demonstrated by studying human induced pluripotent stem cell (hiPSC)-derived astrocytes, cells that highly express TCF7L2 in the CNS, that the BD-BMI GWAS risk SNP is associated with glucocorticoid-dependent repression of the expression of a previously uncharacterized TCF7L2 transcript variant. That transcript is a long non-coding RNA (lncRNA-TCF7L2) that is highly expressed in the CNS but not in peripheral tissues such as the liver and pancreas that are involved in metabolism. In astrocytes, knockdown of the lncRNA-TCF7L2 resulted in decreased expression of the parent gene, TCF7L2, as well as alterations in the expression of a series of genes involved in insulin signaling and diabetes. We also studied the function of TCF7L2 in hiPSC-derived astrocytes by integrating RNA sequencing data after TCF7L2 knockdown with TCF7L2 chromatin-immunoprecipitation sequencing (ChIP-seq) data. Those studies showed that TCF7L2 directly regulated a series of BD risk genes. In summary, these results support the existence of a CNS-based mechanism underlying BD-BMI genetic risk, a mechanism based on a glucocorticoid-dependent expression quantitative trait locus that regulates the expression of a novel TCF7L2 non-coding transcript.
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Affiliation(s)
- Duan Liu
- grid.66875.3a0000 0004 0459 167XDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN USA
| | - Thanh Thanh Le Nguyen
- grid.66875.3a0000 0004 0459 167XDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN USA ,grid.66875.3a0000 0004 0459 167XGraduate School of Biomedical Sciences, Mayo Clinic, Rochester, MN USA
| | - Huanyao Gao
- grid.66875.3a0000 0004 0459 167XDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN USA
| | - Huaizhi Huang
- grid.66875.3a0000 0004 0459 167XDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN USA ,grid.66875.3a0000 0004 0459 167XGraduate School of Biomedical Sciences, Mayo Clinic, Rochester, MN USA
| | - Daniel C. Kim
- grid.66875.3a0000 0004 0459 167XDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN USA
| | - Brenna Sharp
- grid.66875.3a0000 0004 0459 167XDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN USA
| | - Zhenqing Ye
- grid.66875.3a0000 0004 0459 167XDivision of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN USA
| | - Jeong-Heon Lee
- grid.66875.3a0000 0004 0459 167XDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN USA
| | - Brandon J. Coombes
- grid.66875.3a0000 0004 0459 167XDivision of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN USA
| | - Tamas Ordog
- grid.66875.3a0000 0004 0459 167XDepartment of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN USA ,grid.66875.3a0000 0004 0459 167XDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Mayo Clinic, Rochester, MN USA
| | - Liewei Wang
- grid.66875.3a0000 0004 0459 167XDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN USA
| | - Joanna M. Biernacka
- grid.66875.3a0000 0004 0459 167XDivision of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN USA ,grid.66875.3a0000 0004 0459 167XDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN USA
| | - Mark A. Frye
- grid.66875.3a0000 0004 0459 167XDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN USA
| | - Richard M. Weinshilboum
- grid.66875.3a0000 0004 0459 167XDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN USA
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Dai Y, O'Brien TD, Pei G, Zhao Z, Jia P. Characterization of genome-wide association study data reveals spatiotemporal heterogeneity of mental disorders. BMC Med Genomics 2020; 13:192. [PMID: 33371872 PMCID: PMC7771094 DOI: 10.1186/s12920-020-00832-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Accepted: 11/23/2020] [Indexed: 12/15/2022] Open
Abstract
Background Psychiatric disorders such as schizophrenia (SCZ), bipolar disorder (BIP), major depressive disorder (MDD), attention deficit-hyperactivity disorder (ADHD), and autism spectrum disorder (ASD) are often related to brain development. Both shared and unique biological and neurodevelopmental processes have been reported to be involved in these disorders. Methods In this work, we developed an integrative analysis framework to seek for the sensitive spatiotemporal point during brain development underlying each disorder. Specifically, we first identified spatiotemporal gene co-expression modules for four brain regions three developmental stages (prenatal, birth to 11 years old, and older than 13 years), totaling 12 spatiotemporal sites. By integrating GWAS summary statistics and the spatiotemporal co-expression modules, we characterized the risk genes and their co-expression partners for five disorders. Results We found that SCZ and BIP, ASD and ADHD tend to cluster with each other and keep a distance from other psychiatric disorders. At the gene level, we identified several genes that were shared among the most significant modules, such as CTNNB1 and LNX1, and a hub gene, ATF2, in multiple modules. Moreover, we pinpointed two spatiotemporal points in the prenatal stage with active expression activities and highlighted one postnatal point for BIP. Further functional analysis of the disorder-related module highlighted the apoptotic signaling pathway for ASD and the immune-related and cell-cell adhesion function for SCZ, respectively. Conclusion Our study demonstrated the dynamic changes of disorder-related genes at the network level, shedding light on the spatiotemporal regulation during brain development.
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Affiliation(s)
- Yulin Dai
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, 7000 Fannin St. Suite 820, Houston, TX, 77030, USA
| | - Timothy D O'Brien
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, 7000 Fannin St. Suite 820, Houston, TX, 77030, USA
| | - Guangsheng Pei
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, 7000 Fannin St. Suite 820, Houston, TX, 77030, USA
| | - Zhongming Zhao
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, 7000 Fannin St. Suite 820, Houston, TX, 77030, USA. .,Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA. .,MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, 77030, USA. .,Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, 37203, USA.
| | - Peilin Jia
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, 7000 Fannin St. Suite 820, Houston, TX, 77030, USA.
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Abolghasemi M, Daneshmandpour Y, Poursaei E, Jamshidi J, Baradaran B, Shanehbandi D, Kazeminasab S, Emamalizadeh B. MMP9 (RS20544) and ADCY2 (RS58502974) as susceptibility factors for schizophrenia in Iranian population. Meta Gene 2020. [DOI: 10.1016/j.mgene.2020.100810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
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62
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Bigdeli TB, Fanous AH, Li Y, Rajeevan N, Sayward F, Genovese G, Gupta R, Radhakrishnan K, Malhotra AK, Sun N, Lu Q, Hu Y, Li B, Chen Q, Mane S, Miller P, Cheung KH, Gur RE, Greenwood TA, Braff DL, Achtyes ED, Buckley PF, Escamilla MA, Lehrer D, Malaspina DP, McCarroll SA, Rapaport MH, Vawter MP, Pato MT, Pato CN, Zhao H, Kosten TR, Brophy M, Pyarajan S, Shi Y, O’Leary TJ, Gleason T, Przygodzki R, Muralidhar S, Gaziano JM, Huang GD, Concato J, Siever LJ, Aslan M, Harvey PD. Genome-Wide Association Studies of Schizophrenia and Bipolar Disorder in a Diverse Cohort of US Veterans. Schizophr Bull 2020; 47:517-529. [PMID: 33169155 PMCID: PMC7965063 DOI: 10.1093/schbul/sbaa133] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND Schizophrenia (SCZ) and bipolar disorder (BIP) are debilitating neuropsychiatric disorders, collectively affecting 2% of the world's population. Recognizing the major impact of these psychiatric disorders on the psychosocial function of more than 200 000 US Veterans, the Department of Veterans Affairs (VA) recently completed genotyping of more than 8000 veterans with SCZ and BIP in the Cooperative Studies Program (CSP) #572. METHODS We performed genome-wide association studies (GWAS) in CSP #572 and benchmarked the predictive value of polygenic risk scores (PRS) constructed from published findings. We combined our results with available summary statistics from several recent GWAS, realizing the largest and most diverse studies of these disorders to date. RESULTS Our primary GWAS uncovered new associations between CHD7 variants and SCZ, and novel BIP associations with variants in Sortilin Related VPS10 Domain Containing Receptor 3 (SORCS3) and downstream of PCDH11X. Combining our results with published summary statistics for SCZ yielded 39 novel susceptibility loci including CRHR1, and we identified 10 additional findings for BIP (28 326 cases and 90 570 controls). PRS trained on published GWAS were significantly associated with case-control status among European American (P < 10-30) and African American (P < .0005) participants in CSP #572. CONCLUSIONS We have demonstrated that published findings for SCZ and BIP are robustly generalizable to a diverse cohort of US veterans. Leveraging available summary statistics from GWAS of global populations, we report 52 new susceptibility loci and improved fine-mapping resolution for dozens of previously reported associations.
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Affiliation(s)
- Tim B Bigdeli
- VA New York Harbor Healthcare System, Brooklyn, NY,Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY
| | - Ayman H Fanous
- VA New York Harbor Healthcare System, Brooklyn, NY,Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY
| | - Yuli Li
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT,Department of Medicine, Yale School of Medicine, New Haven, CT
| | - Nallakkandi Rajeevan
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT,Department of Medicine, Yale School of Medicine, New Haven, CT
| | - Frederick Sayward
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT,Department of Medicine, Yale School of Medicine, New Haven, CT
| | - Giulio Genovese
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA,Department of Genetics, Harvard Medical School, Boston, MA
| | - Rishab Gupta
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY
| | - Krishnan Radhakrishnan
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT,College of Medicine, University of Kentucky, Lexington, KY
| | - Anil K Malhotra
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY,Division of Psychiatry Research, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY,Department of Psychiatry, Hofstra Northwell School of Medicine, Hempstead, NY
| | - Ning Sun
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT,Department of Medicine, Yale School of Medicine, New Haven, CT
| | - Qiongshi Lu
- Department of Medicine, Yale School of Medicine, New Haven, CT,Department of Biostatistics & Medical Informatics, University of Wisconsin-Madison, Madison, WI
| | - Yiming Hu
- Department of Medicine, Yale School of Medicine, New Haven, CT
| | - Boyang Li
- Department of Medicine, Yale School of Medicine, New Haven, CT
| | - Quan Chen
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT,Department of Medicine, Yale School of Medicine, New Haven, CT
| | - Shrikant Mane
- Department of Medicine, Yale School of Medicine, New Haven, CT
| | - Perry Miller
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT,Department of Medicine, Yale School of Medicine, New Haven, CT
| | - Kei-Hoi Cheung
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT,Department of Medicine, Yale School of Medicine, New Haven, CT
| | - Raquel E Gur
- Departments of Psychiatry and Child & Adolescent Psychiatry and Lifespan Brain Institute, University of Pennsylvania Perelman School of Medicine and Children’s Hospital of Philadelphia, Philadelphia, PA
| | | | - David L Braff
- Department of Psychiatry, University of California, La Jolla, San Diego, CA,VISN-22 Mental Illness, Research, Education and Clinical Center (MIRECC), VA San Diego Healthcare System, San Diego, CA
| | | | - Eric D Achtyes
- Cherry Health and Michigan State University College of Human Medicine, Grand Rapids, MI
| | - Peter F Buckley
- School of Medicine, Virginia Commonwealth University, Richmond, VA
| | - Michael A Escamilla
- Department of Psychiatry, School of Medicine, University of Texas Rio Grande Valley, Harlingen, TX
| | - Douglas Lehrer
- Department of Psychiatry, Wright State University, Dayton, OH
| | - Dolores P Malaspina
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Steven A McCarroll
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA,Department of Genetics, Harvard Medical School, Boston, MA
| | - Mark H Rapaport
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA
| | - Marquis P Vawter
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA
| | - Michele T Pato
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY
| | - Carlos N Pato
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY
| | | | - Hongyu Zhao
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT,Department of Medicine, Yale School of Medicine, New Haven, CT
| | - Thomas R Kosten
- Departments of Psychiatry, Neuroscience, Pharmacology, and Immunology and Rheumatology, Baylor College of Medicine, Houston, TX
| | - Mary Brophy
- Massachusetts Area Veterans Epidemiology, Research, and Information Center (MAVERIC), Jamaica Plain, MA,Section of Hematology and Medical Oncology, Boston University School of Medicine, Boston, MA
| | - Saiju Pyarajan
- Massachusetts Area Veterans Epidemiology, Research, and Information Center (MAVERIC), Jamaica Plain, MA
| | - Yunling Shi
- Massachusetts Area Veterans Epidemiology, Research, and Information Center (MAVERIC), Jamaica Plain, MA
| | - Timothy J O’Leary
- Office of Research and Development, Veterans Health Administration, Washington, DC
| | - Theresa Gleason
- Office of Research and Development, Veterans Health Administration, Washington, DC
| | - Ronald Przygodzki
- Office of Research and Development, Veterans Health Administration, Washington, DC
| | - Sumitra Muralidhar
- Office of Research and Development, Veterans Health Administration, Washington, DC
| | - J Michael Gaziano
- Massachusetts Area Veterans Epidemiology, Research, and Information Center (MAVERIC), Jamaica Plain, MA,Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | | | - Grant D Huang
- Office of Research and Development, Veterans Health Administration, Washington, DC
| | - John Concato
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT,Department of Medicine, Yale School of Medicine, New Haven, CT
| | - Larry J Siever
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY,University of Miami Miller School of Medicine, James J. Peters Veterans Affairs Medical Center, Bronx, NY
| | - Mihaela Aslan
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT,Department of Medicine, Yale School of Medicine, New Haven, CT
| | - Philip D Harvey
- Research Service Bruce W. Carter VA Medical Center, Miami, FL,Department of Psychiatry, University of Miami Miller School of Medicine, Miami, FL,To whom correspondence should be addressed; Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, 1120 NW 14th Street, Suite 1450 Miami, FL 33136, USA; tel: (305)-243-4094, fax: (305)-243-1619, e-mail:
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Scaini G, Valvassori SS, Diaz AP, Lima CN, Benevenuto D, Fries GR, Quevedo J. Neurobiology of bipolar disorders: a review of genetic components, signaling pathways, biochemical changes, and neuroimaging findings. ACTA ACUST UNITED AC 2020; 42:536-551. [PMID: 32267339 PMCID: PMC7524405 DOI: 10.1590/1516-4446-2019-0732] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Accepted: 12/27/2019] [Indexed: 01/10/2023]
Abstract
Bipolar disorder (BD) is a chronic mental illness characterized by changes in mood that alternate between mania and hypomania or between depression and mixed states, often associated with functional impairment. Although effective pharmacological and non-pharmacological treatments are available, several patients with BD remain symptomatic. The advance in the understanding of the neurobiology underlying BD could help in the identification of new therapeutic targets as well as biomarkers for early detection, prognosis, and response to treatment in BD. In this review, we discuss genetic, epigenetic, molecular, physiological and neuroimaging findings associated with the neurobiology of BD. Despite the advances in the pathophysiological knowledge of BD, the diagnosis and management of the disease are still essentially clinical. Given the complexity of the brain and the close relationship between environmental exposure and brain function, initiatives that incorporate genetic, epigenetic, molecular, physiological, clinical, environmental data, and brain imaging are necessary to produce information that can be translated into prevention and better outcomes for patients with BD.
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Affiliation(s)
- Giselli Scaini
- Translational Psychiatry Program Louis A. Faillace, Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA
| | - Samira S Valvassori
- Laboratório de Psiquiatria Translacional, Programa de Pós-Graduação em Ciências da Saúde, Universidade do Extremo Sul Catarinense (UNESC), Criciúma, SC, Brazil
| | - Alexandre P Diaz
- Translational Psychiatry Program Louis A. Faillace, Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA.,Center of Excellence on Mood Disorders Louis A. Faillace, Department of Psychiatry and Behavioral Sciences at McGovern Medical School, UTHealth, Houston, TX, USA
| | - Camila N Lima
- Translational Psychiatry Program Louis A. Faillace, Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA
| | - Deborah Benevenuto
- Translational Psychiatry Program Louis A. Faillace, Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA
| | - Gabriel R Fries
- Translational Psychiatry Program Louis A. Faillace, Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA.,Center for Precision Health, School of Biomedical Informatics, UTHealth, Houston, TX, USA.,Neuroscience Graduate Program, Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, UTHealth, Houston, TX, USA
| | - Joao Quevedo
- Translational Psychiatry Program Louis A. Faillace, Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA.,Laboratório de Psiquiatria Translacional, Programa de Pós-Graduação em Ciências da Saúde, Universidade do Extremo Sul Catarinense (UNESC), Criciúma, SC, Brazil.,Center of Excellence on Mood Disorders Louis A. Faillace, Department of Psychiatry and Behavioral Sciences at McGovern Medical School, UTHealth, Houston, TX, USA.,Neuroscience Graduate Program, Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, UTHealth, Houston, TX, USA
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Nelson AD, Caballero-Florán RN, Rodríguez Díaz JC, Hull JM, Yuan Y, Li J, Chen K, Walder KK, Lopez-Santiago LF, Bennett V, McInnis MG, Isom LL, Wang C, Zhang M, Jones KS, Jenkins PM. Ankyrin-G regulates forebrain connectivity and network synchronization via interaction with GABARAP. Mol Psychiatry 2020; 25:2800-2817. [PMID: 30504823 PMCID: PMC6542726 DOI: 10.1038/s41380-018-0308-x] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2018] [Revised: 08/17/2018] [Accepted: 11/19/2018] [Indexed: 12/16/2022]
Abstract
GABAergic circuits are critical for the synchronization and higher order function of brain networks. Defects in this circuitry are linked to neuropsychiatric diseases, including bipolar disorder, schizophrenia, and autism. Work in cultured neurons has shown that ankyrin-G plays a key role in the regulation of GABAergic synapses on the axon initial segment and somatodendritic domain of pyramidal neurons, where it interacts directly with the GABAA receptor-associated protein (GABARAP) to stabilize cell surface GABAA receptors. Here, we generated a knock-in mouse model expressing a mutation that abolishes the ankyrin-G/GABARAP interaction (Ank3 W1989R) to understand how ankyrin-G and GABARAP regulate GABAergic circuitry in vivo. We found that Ank3 W1989R mice exhibit a striking reduction in forebrain GABAergic synapses resulting in pyramidal cell hyperexcitability and disruptions in network synchronization. In addition, we identified changes in pyramidal cell dendritic spines and axon initial segments consistent with compensation for hyperexcitability. Finally, we identified the ANK3 W1989R variant in a family with bipolar disorder, suggesting a potential role of this variant in disease. Our results highlight the importance of ankyrin-G in regulating forebrain circuitry and provide novel insights into how ANK3 loss-of-function variants may contribute to human disease.
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Affiliation(s)
- A D Nelson
- Department of Pharmacology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
| | - R N Caballero-Florán
- Department of Pharmacology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
| | - J C Rodríguez Díaz
- Neuroscience Graduate Program, University of Michigan, Ann Arbor, MI, 48109, USA
| | - J M Hull
- Department of Pharmacology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
- Neuroscience Graduate Program, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Y Yuan
- Department of Pharmacology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
| | - J Li
- Division of Life Sciences, State Key Laboratory of Molecular Neuroscience, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China
| | - K Chen
- Division of Life Sciences, State Key Laboratory of Molecular Neuroscience, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China
| | - K K Walder
- Department of Cell Biology, Duke University Medical Center, Durham, NC, 27710, USA
| | - L F Lopez-Santiago
- Department of Pharmacology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
| | - V Bennett
- Department of Cell Biology, Duke University Medical Center, Durham, NC, 27710, USA
- Departments of Biochemistry, Neurobiology, and Howard Hughes Medical Institute, Duke University Medical Center, Durham, NC, 27710, USA
| | - M G McInnis
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, 48109, USA
| | - L L Isom
- Department of Pharmacology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
- Neuroscience Graduate Program, University of Michigan, Ann Arbor, MI, 48109, USA
- Department of Neurology, University of Michigan, Ann Arbor, MI, 48109, USA
- Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, 48109, USA
| | - C Wang
- Division of Life Sciences, State Key Laboratory of Molecular Neuroscience, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China
- Hefei National Laboratory for Physical Sciences at the Microscale, School of Life Sciences, University of Science and Technology of China, Hefei, China
| | - M Zhang
- Division of Life Sciences, State Key Laboratory of Molecular Neuroscience, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China
| | - K S Jones
- Department of Pharmacology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
- Neuroscience Graduate Program, University of Michigan, Ann Arbor, MI, 48109, USA
| | - P M Jenkins
- Department of Pharmacology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, 48109, USA.
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Morabito S, Miyoshi E, Michael N, Swarup V. Integrative genomics approach identifies conserved transcriptomic networks in Alzheimer's disease. Hum Mol Genet 2020; 29:2899-2919. [PMID: 32803238 PMCID: PMC7566321 DOI: 10.1093/hmg/ddaa182] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Revised: 07/10/2020] [Accepted: 07/27/2020] [Indexed: 12/19/2022] Open
Abstract
Alzheimer's disease (AD) is a devastating neurological disorder characterized by changes in cell-type proportions and consequently marked alterations of the transcriptome. Here we use a data-driven systems biology meta-analytical approach across three human AD cohorts, encompassing six cortical brain regions, and integrate with multi-scale datasets comprising of DNA methylation, histone acetylation, transcriptome- and genome-wide association studies and quantitative trait loci to further characterize the genetic architecture of AD. We perform co-expression network analysis across more than 1200 human brain samples, identifying robust AD-associated dysregulation of the transcriptome, unaltered in normal human aging. We assess the cell-type specificity of AD gene co-expression changes and estimate cell-type proportion changes in human AD by integrating co-expression modules with single-cell transcriptome data generated from 27 321 nuclei from human postmortem prefrontal cortical tissue. We also show that genetic variants of AD are enriched in a microglial AD-associated module and identify key transcription factors regulating co-expressed modules. Additionally, we validate our results in multiple published human AD gene expression datasets, which can be easily accessed using our online resource (https://swaruplab.bio.uci.edu/consensusAD).
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Affiliation(s)
- Samuel Morabito
- Mathematical, Computational and Systems Biology (MCSB) Program, University of California, Irvine, CA 92697, USA
- Institute for Memory Impairments and Neurological Disorders (MIND), University of California, Irvine, CA 92697, USA
| | - Emily Miyoshi
- Department of Neurobiology and Behavior, University of California, Irvine, CA 92697, USA
- Institute for Memory Impairments and Neurological Disorders (MIND), University of California, Irvine, CA 92697, USA
| | - Neethu Michael
- Department of Neurobiology and Behavior, University of California, Irvine, CA 92697, USA
- Institute for Memory Impairments and Neurological Disorders (MIND), University of California, Irvine, CA 92697, USA
| | - Vivek Swarup
- Department of Neurobiology and Behavior, University of California, Irvine, CA 92697, USA
- Institute for Memory Impairments and Neurological Disorders (MIND), University of California, Irvine, CA 92697, USA
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Aghabozorg Afjeh SS, Shams J, Hamednia S, Boshehri B, Olfat A, Omrani MD. Investigation of the impact of an ADCY2 polymorphism as a predictive biomarker in bipolar disorder, suicide tendency and response to lithium carbonate therapy: the first report from Iran. Pharmacogenomics 2020; 21:1011-1020. [PMID: 32893730 DOI: 10.2217/pgs-2020-0058] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
High rates of mortality due to both suicide and medical comorbidities in bipolar patients can be decreased through the administration of lithium, which affects the cerebral endothelium as well as neurons. To investigate the role of ADCY2 in risk of bipolar disorder, we genotyped the ADCY2 rs2290910 in bipolar patients and healthy controls using amplification refractory mutation system PCR. This polymorphism was associated with risk of bipolar disorder (odds ratio [OR]: 0.430; 95% CI: 0.296-0.624; p = 0.001). The C allele was more frequent in suicide ideation group compared other groups (OR: 2.7; 95% CI: 1.386-5.302; p = 0.004). The T allele was more frequent in suicide attempt group compared with suicide ideation group (OR: 0.238; 95% CI: 0.111-0.509; p = 0.001).
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Affiliation(s)
| | - Jamal Shams
- Behavioral Research Center, Shahid Beheshti University of Medical Sciences, Tehran, 19839-631133, Iran
| | - Safar Hamednia
- Department of Psychiatry, Urmia University of Medical Sciences, Urmia, 5714-783345, Iran
| | - Behzad Boshehri
- Department of Forensic Medicine & Toxicology, Urmia University of Medical Sciences, Urmia, 5714-783345, Iran
| | - Amir Olfat
- Department of statistics, Allameh Tabatabai University, Tehran, 14877-01201, Iran
| | - Mir Davood Omrani
- Department of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, 19839-631133, Iran
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Stern S, Sarkar A, Stern T, Mei A, Mendes APD, Stern Y, Goldberg G, Galor D, Nguyen T, Randolph-Moore L, Kim Y, Rouleau G, Bang A, Alda M, Santos R, Marchetto MC, Gage FH. Mechanisms Underlying the Hyperexcitability of CA3 and Dentate Gyrus Hippocampal Neurons Derived From Patients With Bipolar Disorder. Biol Psychiatry 2020; 88:139-149. [PMID: 31732108 PMCID: PMC7108962 DOI: 10.1016/j.biopsych.2019.09.018] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Revised: 09/19/2019] [Accepted: 09/21/2019] [Indexed: 12/28/2022]
Abstract
BACKGROUND Approximately 1 in every 50 to 100 people is affected with bipolar disorder (BD), making this disease a major economic burden. The introduction of induced pluripotent stem cell methodology enabled better modeling of this disorder. METHODS Having previously studied the phenotype of dentate gyrus granule neurons, we turned our attention to studying the phenotype of CA3 hippocampal pyramidal neurons of 6 patients with BD compared with 4 control individuals. We used patch clamp and quantitative polymerase chain reaction to measure electrophysiological features and RNA expression by specific channel genes. RESULTS We found that BD CA3 neurons were hyperexcitable only when they were derived from patients who responded to lithium; they featured sustained activity with large current injections and a large, fast after-hyperpolarization, similar to what we previously reported in dentate gyrus neurons. The higher amplitudes and faster kinetics of fast potassium currents correlated with this hyperexcitability. Further supporting the involvement of potassium currents, we observed an overexpression of KCNC1 and KCNC2 in hippocampal neurons derived from lithium responders. Applying specific potassium channel blockers diminished the hyperexcitability. Long-term lithium treatment decreased the hyperexcitability observed in the CA3 neurons derived from lithium responders while increasing sodium currents and reducing fast potassium currents. When differentiating this cohort into spinal motor neurons, we did not observe any changes in the excitability of BD motor neurons compared with control motor neurons. CONCLUSIONS The hyperexcitability of BD neurons is neuronal type specific with the involvement of altered potassium currents that allow for a sustained, continued firing activity.
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Affiliation(s)
- Shani Stern
- Laboratory of Genetics, Salk Institute for Biological Studies, La Jolla, California; Sagol Department of Neurobiology, Faculty of Natural Sciences, University of Haifa, Haifa, Israel.
| | - Anindita Sarkar
- Laboratory of Genetics, Salk Institute for Biological
Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA
| | - Tchelet Stern
- Laboratory of Genetics, Salk Institute for Biological
Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA
| | - Arianna Mei
- Laboratory of Genetics, Salk Institute for Biological
Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA
| | - Ana P. D. Mendes
- Laboratory of Genetics, Salk Institute for Biological
Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA
| | - Yam Stern
- Laboratory of Genetics, Salk Institute for Biological
Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA
| | - Gabriela Goldberg
- Laboratory of Genetics, Salk Institute for Biological
Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA
| | - Dekel Galor
- Laboratory of Genetics, Salk Institute for Biological
Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA
| | - Thao Nguyen
- Laboratory of Genetics, Salk Institute for Biological
Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA
| | - Lynne Randolph-Moore
- Laboratory of Genetics, Salk Institute for Biological
Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA
| | - Yongsung Kim
- Laboratory of Genetics, Salk Institute for Biological
Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA
| | - Guy Rouleau
- Montreal Neurological Institute, McGill University,
Montreal
| | - Anne Bang
- Conrad Prebys Center for Chemical Genomics, Sanford Burnham
Prebys Medical Discovery Institute, 10901 North Torrey Pines Road, La Jolla, CA
92037, USA
| | - Martin Alda
- Department of Psychiatry, Dalhousie University, 5909
Veterans’ Memorial Lane, Halifax, NS, B3H 2E2, Canada
| | - Renata Santos
- Laboratory of Genetics, Salk Institute for Biological
Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA,Laboratory of Dynamic of Neuronal Structure in Health and
Disease, Institute of Psychiatry and Neuroscience of Paris (UMR_S1266 INSERM,
University of Paris), 102 rue de la Sante, 75014 Paris, France
| | - Maria C. Marchetto
- Laboratory of Genetics, Salk Institute for Biological
Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA
| | - Fred H. Gage
- Laboratory of Genetics, Salk Institute for Biological
Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA,Co-Corresponding authors: Shani Stern
, Fred H. Gage,
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69
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Kasyanov ED, Merkulova TV, Kibitov AO, Mazo GE. Genetics of Bipolar Spectrum Disorders: Focus on Family Studies Using Whole Exome Sequencing. RUSS J GENET+ 2020. [DOI: 10.1134/s1022795420070054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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70
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Li J, Chen K, Zhu R, Zhang M. Structural Basis Underlying Strong Interactions between Ankyrins and Spectrins. J Mol Biol 2020; 432:3838-3850. [DOI: 10.1016/j.jmb.2020.04.023] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2020] [Revised: 04/18/2020] [Accepted: 04/23/2020] [Indexed: 01/06/2023]
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Chen J, Tan J, Greenshaw AJ, Sawalha J, Liu Y, Zhang X, Zou W, Cheng X, Deng W, Zhang Y, Cui L, Liu C, Sun J, Cheng X, Wu Q, Li S, Mai S, Lan X, Chen Y, Cai Y, Zheng C, Cheng D, Zhang B, Yang C, Li X, Li X, Ye B, Yousefnezhad M, Zhang Y, Zhao L, Soares JC, Zhang X, Li T, Cao B, Cao L. CACNB2 rs11013860 polymorphism correlates of prefrontal cortex thickness in bipolar patients with first-episode mania. J Affect Disord 2020; 268:82-87. [PMID: 32158010 DOI: 10.1016/j.jad.2020.02.007] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Revised: 01/28/2020] [Accepted: 02/01/2020] [Indexed: 02/08/2023]
Abstract
BACKGROUND The β2 subunit of the voltage-gated l-type calcium channel gene(CACNB2) rs11013860 polymorphism is a putative genetic susceptibility marker for bipolar disorder (BD). However, the neural effects of CACNB2 rs11013860 in BD are largely unknown. METHODS Forty-six bipolar patients with first-episode mania and eighty-three healthy controls (HC) were genotyped for CACNB2 rs11013860 and were scanned with a 3.0 Tesla structural magnetic resonance imaging system to measure cortical thickness of prefrontal cortex (PFC) components (superior frontal cortex, orbitofrontal cortex, middle and inferior frontal gyri). RESULTS Cortical thickness was thinner in patients on all PFC measurements compared to HC (p < 0.050). Moreover, we found a significant interaction between CACNB2 genotype and diagnosis for the right superior frontal cortical thickness (F = 8.190, p = 0.040). Bonferroni corrected post-hoc tests revealed that, in CACNB2 A-allele carriers, patients displayed thinner superior frontal thickness compared to HC (p < 0.001). In patients, CACNB2 A-allele carriers also exhibited reduced superior frontal thickness compared to CACNB2 CC-allele carriers (p = 0.016). LIMITATIONS Lithium treatment may influence our results, and the sample size in our study is relatively small. CONCLUSIONS Our results suggest that the CACNB2 rs11013860 might impact PFC thickness in patients with first-episode mania. These findings provide evidence to support CACNB2 rs11013860 involvement in the emotion-processing neural circuitry abnormality in the early stage of BD, which will ultimately contribute to revealing the link between the variation in calcium channel genes and the neuropathological mechanism of BD.
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Affiliation(s)
- Jianshan Chen
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China
| | - Jiuwei Tan
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China
| | - Andrew J Greenshaw
- Department of Psychiatry, University of Alberta, Edmonton, Alberta, Canada
| | - Jeff Sawalha
- Department of Psychiatry, University of Alberta, Edmonton, Alberta, Canada
| | - Yang Liu
- Department of Psychiatry, University of Alberta, Edmonton, Alberta, Canada
| | - Xiaofei Zhang
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China
| | - Wenjin Zou
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China
| | - Xiaofang Cheng
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China
| | - Wenhao Deng
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China
| | - Yizhi Zhang
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China; General Hospital of Southern Theater Command, Guangzhou, Guangdong, PR China
| | - Liqian Cui
- The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, PR China
| | - Chuihong Liu
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China
| | - Jiaqi Sun
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China
| | - Xiongchao Cheng
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China; Nanning Fifth People's Hospital, Nanning, Guangxi Zhuang autonomous region, PR China
| | - Qiuxia Wu
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China
| | - Suyi Li
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China
| | - Siming Mai
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China
| | - Xiaofeng Lan
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China
| | - Yingmei Chen
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China
| | - Yinglian Cai
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China
| | - Chaodun Zheng
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China
| | - Daomeng Cheng
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China
| | - Bin Zhang
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China
| | - Chanjuan Yang
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China
| | - Xuan Li
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China
| | - Xinmin Li
- Department of Psychiatry, University of Alberta, Edmonton, Alberta, Canada
| | - Biyu Ye
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China
| | | | - Yamin Zhang
- The Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, PR China
| | - Liansheng Zhao
- The Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, PR China
| | - Jair C Soares
- Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Xiangyang Zhang
- Institute of Psychology, Chinese Academy of Sciences, Beijing, PR China
| | - Tao Li
- The Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, PR China
| | - Bo Cao
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China; Department of Psychiatry, University of Alberta, Edmonton, Alberta, Canada.
| | - Liping Cao
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China.
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Predictive power of the ADHD GWAS 2019 polygenic risk scores in independent samples of bipolar patients with childhood ADHD. J Affect Disord 2020; 265:651-659. [PMID: 31791676 DOI: 10.1016/j.jad.2019.11.109] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Revised: 11/17/2019] [Accepted: 11/22/2019] [Indexed: 12/12/2022]
Abstract
BACKGROUND Although there is evidence of genetic correlation between bipolar disorder (BP) and ADHD, the extent of the shared genetic risk and whether childhood ADHD (cADHD) influences the characteristics of the adult BP remain unclear. Our objectives were: (i) to test the ability of polygenic risk scores (PRS) derived from the latest PGC ADHD-GWAS (Demontis et al., 2019) to predict the presence of cADHD in BP patients; (ii) to examine the hypothesis that BP preceded by cADHD is a BP subtype with particular clinical traits and (iii) partially shares its molecular basis with ADHD. METHOD PRS derived from the ADHD-GWAS-2019 were tested in BP patients (N = 942) assessed for cADHD with the Wender Utah Rating Scale and in controls from Romania and UK (N = 1616). RESULTS The ADHD-PRS differentiated BP cases with cADHD from controls. Proband sex and BP age-of-onset significantly influenced the discriminative power of the ADHD-PRS. The ADHD-PRS predicted the cADHD score only in males and in BP cases with early age-of-onset (≤21 years). Bipolar patients with cADHD had a younger age-of-onset of mania/depression than patients without cADHD. The ADHD-PRS predicted the BP-affection status in the comparison of early-onset BP cases with controls suggesting a partial molecular overlap between early-onset BP and ADHD. LIMITATIONS Retrospective diagnosis of cADHD, small sample size. CONCLUSIONS The PRS-analysis indicated an acceptable predictive ability of the ADHD-SNP-set 2019 in independent BP samples. The best prediction of both cADHD and BP-affection status was found in the early-onset BP cases. The results may have impact on the individual disease monitoring.
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73
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Barkhuizen W, Pain O, Dudbridge F, Ronald A. Genetic overlap between psychotic experiences in the community across age and with psychiatric disorders. Transl Psychiatry 2020; 10:86. [PMID: 32152294 PMCID: PMC7062754 DOI: 10.1038/s41398-020-0765-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2019] [Accepted: 02/13/2020] [Indexed: 12/13/2022] Open
Abstract
This study explores the degree to which genetic influences on psychotic experiences are stable across adolescence and adulthood, and their overlap with psychiatric disorders. Genome-wide association results were obtained for adolescent psychotic experiences and negative symptom traits (N = 6297-10,098), schizotypy (N = 3967-4057) and positive psychotic experiences in adulthood (N = 116,787-117,794), schizophrenia (N = 150,064), bipolar disorder (N = 41,653), and depression (N = 173,005). Linkage disequilibrium score regression was used to estimate genetic correlations. Implicated genes from functional and gene-based analyses were compared. Mendelian randomization was performed on trait pairs with significant genetic correlations. Results indicated that subclinical auditory and visual hallucinations and delusions of persecution during adulthood were significantly genetically correlated with schizophrenia (rg = 0.27-0.67) and major depression (rg = 0.41-96) after correction for multiple testing. Auditory and visual subclinical hallucinations were highly genetically correlated (rg = 0.95). Cross-age genetic correlations for psychotic experiences were not significant. Gene mapping and association analyses revealed 14 possible genes associated with psychotic experiences that overlapped across age for psychotic experiences or between psychotic experiences and psychiatric disorders. Mendelian randomization indicated bidirectional associations between auditory and visual hallucinations in adults but did not support causal relationships between psychotic experiences and psychiatric disorders. These findings indicate that psychotic experiences in adulthood may be more linked genetically to schizophrenia and major depression than psychotic experiences in adolescence. Our study implicated specific genes that are associated with psychotic experiences across development, as well as genes shared between psychotic experiences and psychiatric disorders.
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Affiliation(s)
- Wikus Barkhuizen
- Centre for Brain and Cognitive Development, Department of Psychological Sciences, Birkbeck, University of London, London, UK
| | - Oliver Pain
- NIHR Maudsley Biomedical Research Centre, Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Frank Dudbridge
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Angelica Ronald
- Centre for Brain and Cognitive Development, Department of Psychological Sciences, Birkbeck, University of London, London, UK.
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Gordovez FJA, McMahon FJ. The genetics of bipolar disorder. Mol Psychiatry 2020; 25:544-559. [PMID: 31907381 DOI: 10.1038/s41380-019-0634-7] [Citation(s) in RCA: 133] [Impact Index Per Article: 33.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Revised: 11/22/2019] [Accepted: 12/11/2019] [Indexed: 12/11/2022]
Abstract
Bipolar disorder (BD) is one of the most heritable mental illnesses, but the elucidation of its genetic basis has proven to be a very challenging endeavor. Genome-Wide Association Studies (GWAS) have transformed our understanding of BD, providing the first reproducible evidence of specific genetic markers and a highly polygenic architecture that overlaps with that of schizophrenia, major depression, and other disorders. Individual GWAS markers appear to confer little risk, but common variants together account for about 25% of the heritability of BD. A few higher-risk associations have also been identified, such as a rare copy number variant on chromosome 16p11.2. Large scale next-generation sequencing studies are actively searching for other alleles that confer substantial risk. As our understanding of the genetics of BD improves, there is growing optimism that some clear biological pathways will emerge, providing a basis for future studies aimed at molecular diagnosis and novel therapeutics.
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Affiliation(s)
- Francis James A Gordovez
- Human Genetics Branch, National Institute of Mental Health Intramural Research Program, Department of Health and Human Services, National Institutes of Health, Bethesda, MD, USA.,College of Medicine, University of the Philippines Manila, 1000, Ermita, Manila, Philippines
| | - Francis J McMahon
- Human Genetics Branch, National Institute of Mental Health Intramural Research Program, Department of Health and Human Services, National Institutes of Health, Bethesda, MD, USA.
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Genome-wide study of immune biomarkers in cerebrospinal fluid and serum from patients with bipolar disorder and controls. Transl Psychiatry 2020; 10:58. [PMID: 32066700 PMCID: PMC7026056 DOI: 10.1038/s41398-020-0737-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2019] [Revised: 01/13/2020] [Accepted: 01/20/2020] [Indexed: 01/18/2023] Open
Abstract
Bipolar disorder is a common, chronic psychiatric disorder. Despite high heritability, there is a paucity of identified genetic risk factors. Immune biomarkers are under more direct genetic influence than bipolar disorder. To explore the genetic associations with immune biomarker levels in cerebrospinal fluid (CSF) and blood serum which previously showed differences in bipolar disorder, we performed a study involving 291 individuals (184 bipolar disorder patients and 107 controls). The biomarkers assayed in both CSF and serum were: chitinase-3-like protein-1 (YKL-40), monocyte chemoattractant protein-1 (MCP-1), soluble cluster of differentiation (sCD14), tissue inhibitor of metalloproteinases-1 and 2 (TIMP-1 and TIMP-2). C-reactive protein (CRP) was only quantified in serum, and interleukin 8 (IL-8) measures were only available in CSF. Genome-wide association studies were conducted using PLINK for each of three genotyping waves and incorporated covariates for population substructure, age, sex, and body mass index (BMI). Results were combined by meta-analysis. Genome-wide significant associations were detected for all biomarkers except TIMP-1 and TIMP-2 in CSF. The strongest association in CSF was found for markers within the CNTNAP5 gene with YKL-40 (rs150248456, P = 2.84 × 10-10). The strongest association in serum was also for YKL-40 but localized to the FANCI gene (rs188263039, P = 5.80 × 10-26). This study revealed numerous biologically plausible genetic associations with immune biomarkers in CSF and blood serum. Importantly, the genetic variants regulating immune biomarker levels in CSF and blood serum differ. These results extend our knowledge of how biomarkers showing alterations in bipolar disorder are genetically regulated.
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76
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Forstner AJ, Fischer SB, Schenk LM, Strohmaier J, Maaser-Hecker A, Reinbold CS, Sivalingam S, Hecker J, Streit F, Degenhardt F, Witt SH, Schumacher J, Thiele H, Nürnberg P, Guzman-Parra J, Orozco Diaz G, Auburger G, Albus M, Borrmann-Hassenbach M, González MJ, Gil Flores S, Cabaleiro Fabeiro FJ, del Río Noriega F, Perez Perez F, Haro González J, Rivas F, Mayoral F, Bauer M, Pfennig A, Reif A, Herms S, Hoffmann P, Pirooznia M, Goes FS, Rietschel M, Nöthen MM, Cichon S. Whole-exome sequencing of 81 individuals from 27 multiply affected bipolar disorder families. Transl Psychiatry 2020; 10:57. [PMID: 32066727 PMCID: PMC7026119 DOI: 10.1038/s41398-020-0732-y] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Revised: 12/18/2019] [Accepted: 01/08/2020] [Indexed: 01/01/2023] Open
Abstract
Bipolar disorder (BD) is a highly heritable neuropsychiatric disease characterized by recurrent episodes of depression and mania. Research suggests that the cumulative impact of common alleles explains 25-38% of phenotypic variance, and that rare variants may contribute to BD susceptibility. To identify rare, high-penetrance susceptibility variants for BD, whole-exome sequencing (WES) was performed in three affected individuals from each of 27 multiply affected families from Spain and Germany. WES identified 378 rare, non-synonymous, and potentially functional variants. These spanned 368 genes, and were carried by all three affected members in at least one family. Eight of the 368 genes harbored rare variants that were implicated in at least two independent families. In an extended segregation analysis involving additional family members, five of these eight genes harbored variants showing full or nearly full cosegregation with BD. These included the brain-expressed genes RGS12 and NCKAP5, which were considered the most promising BD candidates on the basis of independent evidence. Gene enrichment analysis for all 368 genes revealed significant enrichment for four pathways, including genes reported in de novo studies of autism (padj < 0.006) and schizophrenia (padj = 0.015). These results suggest a possible genetic overlap with BD for autism and schizophrenia at the rare-sequence-variant level. The present study implicates novel candidate genes for BD development, and may contribute to an improved understanding of the biological basis of this common and often devastating disease.
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Affiliation(s)
- Andreas J. Forstner
- 0000 0004 1936 9756grid.10253.35Centre for Human Genetics, University of Marburg, Marburg, Germany ,0000 0001 2240 3300grid.10388.32Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany ,0000 0004 1937 0642grid.6612.3Department of Biomedicine, University of Basel, Basel, Switzerland ,0000 0004 1937 0642grid.6612.3Department of Psychiatry (UPK), University of Basel, Basel, Switzerland
| | - Sascha B. Fischer
- 0000 0004 1937 0642grid.6612.3Department of Biomedicine, University of Basel, Basel, Switzerland ,grid.410567.1Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Lorena M. Schenk
- 0000 0001 2240 3300grid.10388.32Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Jana Strohmaier
- 0000 0001 2190 4373grid.7700.0Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany ,SRH University Heidelberg, Academy for Psychotherapy, Heidelberg, Germany
| | - Anna Maaser-Hecker
- 0000 0001 2240 3300grid.10388.32Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Céline S. Reinbold
- 0000 0004 1937 0642grid.6612.3Department of Biomedicine, University of Basel, Basel, Switzerland ,grid.410567.1Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland ,0000 0004 1936 8921grid.5510.1Center for Lifespan Changes in Brain and Cognition (LCBC), Department of Psychology, University of Oslo, Oslo, Norway
| | - Sugirthan Sivalingam
- 0000 0001 2240 3300grid.10388.32Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Julian Hecker
- 000000041936754Xgrid.38142.3cDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA USA
| | - Fabian Streit
- 0000 0001 2190 4373grid.7700.0Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Franziska Degenhardt
- 0000 0001 2240 3300grid.10388.32Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Stephanie H. Witt
- 0000 0001 2190 4373grid.7700.0Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Johannes Schumacher
- 0000 0004 1936 9756grid.10253.35Centre for Human Genetics, University of Marburg, Marburg, Germany ,0000 0001 2240 3300grid.10388.32Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Holger Thiele
- 0000 0000 8580 3777grid.6190.eCologne Center for Genomics, University of Cologne, Cologne, Germany
| | - Peter Nürnberg
- 0000 0000 8580 3777grid.6190.eCologne Center for Genomics, University of Cologne, Cologne, Germany
| | - José Guzman-Parra
- grid.452525.1Department of Mental Health, University Regional Hospital of Málaga, Institute of Biomedicine of Málaga (IBIMA), Málaga, Spain
| | - Guillermo Orozco Diaz
- Unidad de Gestión Clínica del Dispositivo de Cuidados Críticos y Urgencias del Distrito Sanitario Málaga - Coin-Gudalhorce, Málaga, Spain
| | - Georg Auburger
- 0000 0004 0578 8220grid.411088.4Experimental Neurology, Department of Neurology, Goethe University Hospital, Frankfurt am Main, Germany
| | - Margot Albus
- 0000 0001 0690 3065grid.419834.3Isar Amper Klinikum München Ost, kbo, Haar, Germany
| | | | - Maria José González
- grid.452525.1Department of Mental Health, University Regional Hospital of Málaga, Institute of Biomedicine of Málaga (IBIMA), Málaga, Spain
| | - Susana Gil Flores
- 0000 0004 1771 4667grid.411349.aDepartment of Mental Health, University Hospital of Reina Sofia, Cordoba, Spain
| | | | - Francisco del Río Noriega
- grid.477360.1Department of Mental Health, Hospital of Jerez de la Frontera, Jerez de la Frontera, Spain
| | | | | | - Fabio Rivas
- Department of Psychiatry, Carlos Haya Regional University Hospital, Malaga, Spain
| | - Fermin Mayoral
- Department of Psychiatry, Carlos Haya Regional University Hospital, Malaga, Spain
| | - Michael Bauer
- Department of Psychiatry and Psychotherapy, Medical Faculty, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Andrea Pfennig
- Department of Psychiatry and Psychotherapy, Medical Faculty, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Andreas Reif
- 0000 0004 0578 8220grid.411088.4Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt am Main, Frankfurt am Main, Germany
| | - Stefan Herms
- 0000 0001 2240 3300grid.10388.32Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany ,0000 0004 1937 0642grid.6612.3Department of Biomedicine, University of Basel, Basel, Switzerland ,grid.410567.1Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Per Hoffmann
- 0000 0001 2240 3300grid.10388.32Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany ,0000 0004 1937 0642grid.6612.3Department of Biomedicine, University of Basel, Basel, Switzerland ,grid.410567.1Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland ,0000 0001 2297 375Xgrid.8385.6Institute of Neuroscience and Medicine (INM-1), Research Center Jülich, Jülich, Germany
| | - Mehdi Pirooznia
- 0000 0001 2171 9311grid.21107.35Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD USA
| | - Fernando S. Goes
- 0000 0001 2171 9311grid.21107.35Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD USA
| | - Marcella Rietschel
- 0000 0001 2190 4373grid.7700.0Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Markus M. Nöthen
- 0000 0001 2240 3300grid.10388.32Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Sven Cichon
- 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 Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland. .,Institute of Neuroscience and Medicine (INM-1), Research Center Jülich, Jülich, Germany.
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Qi X, Wen Y, Li P, Liang C, Cheng B, Ma M, Cheng S, Zhang L, Liu L, Kafle OP, Zhang F. An integrative analysis of genome-wide association study and regulatory SNP annotation datasets identified candidate genes for bipolar disorder. Int J Bipolar Disord 2020; 8:6. [PMID: 32009227 PMCID: PMC6995798 DOI: 10.1186/s40345-019-0170-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Accepted: 11/06/2019] [Indexed: 12/25/2022] Open
Abstract
Background Bipolar disorder (BD) is a complex mood disorder. The genetic mechanism of BD remains largely unknown. Methods We conducted an integrative analysis of genome-wide association study (GWAS) and regulatory SNP (rSNP) annotation datasets, including transcription factor binding regions (TFBRs), chromatin interactive regions (CIRs), mature microRNA regions (miRNAs), long non-coding RNA regions (lncRNAs), topologically associated domains (TADs) and circular RNAs (circRNAs). Firstly, GWAS dataset 1 of BD (including 20,352 cases and 31,358 controls) and GWAS dataset 2 of BD (including 7481 BD patients and 9250 controls) were integrated with rSNP annotation database to obtain BD associated SNP regulatory elements and SNP regulatory element-target gene (E–G) pairs, respectively. Secondly, a comparative analysis of the two datasets results was conducted to identify the common rSNPs and also their target genes. Then, gene sets enrichment analysis (FUMA GWAS) and HumanNet-XC analysis were conducted to explore the functional relevance of identified target genes with BD. Results After the integrative analysis, we identified 52 TFBRs target genes, 44 TADs target genes, 55 CIRs target genes and 21 lncRNAs target genes for BD, such as ITIH4 (Pdataset1 = 6.68 × 10−8, Pdataset2 = 6.64 × 10−7), ITIH3 (Pdataset1 = 1.09 × 10−8, Pdataset2 = 2.00 × 10−7), SYNE1 (Pdataset1 = 1.80 × 10−6, Pdataset2 = 4.33 × 10−9) and OPRM1 (Pdataset1 = 1.80 × 10−6, Pdataset2 = 4.33 × 10−9). Conclusion We conducted a large-scale integrative analysis of GWAS and 6 common rSNP information datasets to explore the potential roles of rSNPs in the genetic mechanism of BD. We identified multiple candidate genes for BD, supporting the importance of rSNP in the development of BD.
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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, No. 76 Yan Ta West Road, Xi'an, 710061, People's Republic of 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, No. 76 Yan Ta West Road, Xi'an, 710061, People's Republic of 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, No. 76 Yan Ta West Road, Xi'an, 710061, People's Republic of 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, No. 76 Yan Ta West Road, Xi'an, 710061, People's Republic of 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, No. 76 Yan Ta West Road, Xi'an, 710061, People's Republic of 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, No. 76 Yan Ta West Road, Xi'an, 710061, People's Republic of 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, No. 76 Yan Ta West Road, Xi'an, 710061, People's Republic of 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, No. 76 Yan Ta West Road, Xi'an, 710061, People's Republic of 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, No. 76 Yan Ta West Road, Xi'an, 710061, People's Republic of China
| | - Om Prakash Kafle
- 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, No. 76 Yan Ta West Road, Xi'an, 710061, People's Republic of 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, No. 76 Yan Ta West Road, Xi'an, 710061, People's Republic of China.
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78
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Illes P, Verkhratsky A, Tang Y. Pathological ATPergic Signaling in Major Depression and Bipolar Disorder. Front Mol Neurosci 2020; 12:331. [PMID: 32076399 PMCID: PMC7006450 DOI: 10.3389/fnmol.2019.00331] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2019] [Accepted: 12/26/2019] [Indexed: 12/11/2022] Open
Abstract
The mood disorders, major depression (MD) and bipolar disorder (BD), have a high lifetime prevalence in the human population and accordingly generate huge costs for health care. Efficient, rapidly acting, and side-effect-free pharmaceuticals are hitherto not available, and therefore, the identification of new therapeutic targets is an imperative task for (pre)clinical research. Such a target may be the purinergic P2X7 receptor (P2X7R), which is localized in the central nervous system (CNS) at microglial and neuroglial cells mediating neuroinflammation. MD and BD are due to neuroinflammation caused in the first line by the release of the pro-inflammatory cytokine interleukin-1β (IL-1β) from the microglia. IL-1β in turn induces the secretion of corticotropin-releasing hormone (CRH) and in consequence the secretion of adrenocorticotropic hormone (ACTH) and cortisol, which together with a plethora of further cytokines/chemokines lead to mood disorders. A number of biochemical/molecular biological measurements including the use of P2X7R- or IL-1β-deficient mice confirmed this chain of events. More recent studies showed that a decrease in the astrocytic release of ATP in the prefrontal cortex and hippocampus is a major cause of mood disorders. It is an attractive hypothesis that compensatory increases in P2X7Rs in these areas of the brain are the immediate actuators of MD and BD. Hence, blood-brain barrier-permeable P2X7R antagonists may be promising therapeutic tools to improve depressive disorders in humans.
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Affiliation(s)
- Peter Illes
- Rudolf-Boehm-Institut für Pharmakologie und Toxikologie, Universität Leipzig, Leipzig, Germany.,Acupuncture and Tuina School, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Alexei Verkhratsky
- Faculty of Life Sciences, The University of Manchester, Manchester, United Kingdom.,Achucarro Centre for Neuroscience, Ikerbasque, Basque Foundation for Science, Bilbao, Spain
| | - Yong Tang
- Acupuncture and Tuina School, Chengdu University of Traditional Chinese Medicine, Chengdu, China
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79
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Mulindwa J, Matovu E, Enyaru J, Clayton C. Blood signatures for second stage human African trypanosomiasis: a transcriptomic approach. BMC Med Genomics 2020; 13:14. [PMID: 32000760 PMCID: PMC6993467 DOI: 10.1186/s12920-020-0666-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Accepted: 01/20/2020] [Indexed: 01/31/2023] Open
Abstract
BACKGROUND Rhodesiense sleeping sickness is caused by infection with T. b rhodesiense parasites resulting in an acute disease that is fatal if not treated in time. The aim of this study was to understand the global impact of active T. b rhodesiense infection on the patient's immune response in the early and late stages of the disease. METHODS RNASeq was carried out on blood and cerebral spinal fluid (CSF) samples obtained from T. b. rhodesiense infected patients. The control samples used were from healthy individuals in the same foci. The Illumina sequenced reads were analysed using the Tuxedo suite pipeline (Tophat, Cufflinks, Cuffmerge, Cuffdiff) and differential expression analysis carried out using the R package DESeq2. The gene enrichment and function annotation analysis were done using the ToppCluster, DAVID and InnateDB algorithms. RESULTS We previously described the transcriptomes of T. b rhodesiense from infected early stage blood (n = 3) and late stage CSF (n = 3) samples from Eastern Uganda. We here identify human transcripts that were differentially expressed (padj < 0.05) in the early stage blood versus healthy controls (n = 3) and early stage blood versus late stage CSF. Differential expression in infected blood showed an enrichment of innate immune response genes whereas that of the CSF showed enrichment for anti-inflammatory and neuro-degeneration signalling pathways. We also identified genes (C1QC, MARCO, IGHD3-10) that were up-regulated (log2 FC > 2.5) in both the blood and CSF. CONCLUSION The data yields insights into the host's response to T. b rhodesiense parasites in the blood and central nervous system. We identified key pathways and signalling molecules for the predominant innate immune response in the early stage infection; and anti-inflammatory and neuro-degeneration pathways associated with sleep disorders in second stage infection. We further identified potential blood biomarkers that can be used for diagnosis of late stage disease without the need for lumbar puncture.
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Affiliation(s)
- Julius Mulindwa
- Department of Biochemistry and Sports Sciences, College of Natural Sciences, Makerere University, P. O. Box 7062, Kampala, Uganda.
| | - Enock Matovu
- Department of Biotechnical and Diagnostic Sciences, College of Veterinary Medicine, Animal Resources and Biosecurity, Makerere University, P. O. Box 7062, Kampala, Uganda
| | - John Enyaru
- Department of Biochemistry and Sports Sciences, College of Natural Sciences, Makerere University, P. O. Box 7062, Kampala, Uganda
| | - Christine Clayton
- Centre for Molecular Biology of Heidelberg University (ZMBH), DKFZ-ZMBH Alliance, Im Neuenheimer Feld 282, 69120, Heidelberg, Germany
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80
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Calabrò M, Porcelli S, Crisafulli C, Albani D, Kasper S, Zohar J, Souery D, Montgomery S, Mantovani V, Mendlewicz J, Bonassi S, Vieta E, Frustaci A, Ducci G, Landi S, Boccia S, Bellomo A, Di Nicola M, Janiri L, Colombo R, Benedetti F, Mandelli L, Fabbri C, Serretti A. Genetic variants associated with psychotic symptoms across psychiatric disorders. Neurosci Lett 2020; 720:134754. [PMID: 31945448 DOI: 10.1016/j.neulet.2020.134754] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2019] [Revised: 12/06/2019] [Accepted: 01/11/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND Recent evidence suggests that psychiatric symptoms share a common genetic liability across diagnostic categories. The present study investigated the effects of variants within previously identified relevant genes on specific symptom clusters, independently from the diagnosis. METHODS 1550 subjects affected by Schizophrenia (SCZ), Major Depressive Disorder or Bipolar Disorder were included. Symptoms were assessed using the Positive and Negative Syndrome Scale (PANSS) and the Hamilton Depression Rating Scale (HDRS). Principal component analysis and a further clinical refinement were used to define symptom clusters. Clusters scores were tested for association with 46 genetic variants within nine genes previously linked to one or more major psychiatric disorders by large genome wide association studies (ANK3, CACNA1C, CACNB2, FKBP5, FZD3, GRM7, ITIH3, SYNE1, TCF4). Exploratory analyses were performed in each disorder separately to further elucidate the SNPs effects. RESULTS five PANSS clusters (Negative; Impulsiveness; Cognitive; Psychotic; Depressive) and four HDRS clusters (Core Depressive; Somatic; Psychotic-like; Insomnia) were identified. CACNA1C rs11615998 was associated with HDRS Psychotic cluster in the whole sample. In the SCZ sample, CACNA1C rs11062296 was associated with PANSS Impulsiveness cluster and CACNA1C rs2238062 was associated with PANSS negative cluster. DISCUSSION CACNA1C rs11615998 was associated with psychotic symptoms (C-allele carriers have decreased psychotic-risk) independently from the diagnosis, in line with the evidence of a cross disorder effect of many risk variants. This gene was previously associated with SCZ and cross-disorder liability to psychiatric disorders. Our findings confirmed that deep phenotyping is pivotal to clarify the role of genetic variants on symptoms patterns.
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Affiliation(s)
- Marco Calabrò
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Italy
| | - Stefano Porcelli
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Italy
| | - Concetta Crisafulli
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Italy
| | - Diego Albani
- Laboratory of Biology of Neurodegenerative Disorders, Neuroscience Department, IRCCS Istituto di Ricerche Farmacologiche "Mario Negri", Milan, Italy
| | - Siegfried Kasper
- Department of Psychiatry and Psychotherapy, Medical University Vienna, Austria
| | - Joseph Zohar
- Department of Psychiatry, Sheba Medical Center, Tel Hashomer, and Sackler School of Medicine, Tel Aviv University, Israel
| | - Daniel Souery
- Laboratoire de Psychologie Medicale, Universitè Libre de Bruxelles and Psy Pluriel, Centre Européen de Psychologie Medicale, Brussels, Belgium
| | | | - Vilma Mantovani
- Center for Applied Biomedical Research (CRBA), St. Orsola University Hospital, Bologna, Italy
| | | | - Stefano Bonassi
- Unit of Clinical and Molecular Epidemiology, IRCCS San Raffaele Pisana, Rome, Italy; Department of Human Sciences and Quality of Life Promotion, San Raffaele University, Rome, Italy
| | - Eduard Vieta
- Bipolar Disorders Unit, Institute of Neuroscience, Hospital Clínic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Alessandra Frustaci
- Barnet, Enfield and Haringey Mental Health NHS Trust, St.Ann's Hospital, St.Ann's Road, N15 3 TH, London, UK
| | | | - Stefano Landi
- Dipartimento di Biologia, Università di Pisa, Pisa, Italy
| | - Stefania Boccia
- Sezione di Igiene, Istituto di Sanità Pubblica, Università Cattolica del Sacro Cuore, Roma, Italy; Department of Woman and Child Health and Public Health - Public Health Area, Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma, Italy
| | - Antonello Bellomo
- Dipartimento di Medicina Clinica e Sperimentale, Foggia University, Italy
| | - Marco Di Nicola
- Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Luigi Janiri
- Faculty of Medicine "Agostino Gemelli", Catholic University of the Sacred Heart, Rome, Italy
| | - Roberto Colombo
- Division of Neuroscience, IRCCS Ospedale San Raffaele, Università Vita-Salute San Raffaele, Milan, Italy
| | - Francesco Benedetti
- Faculty of Medicine "Agostino Gemelli", Catholic University of the Sacred Heart, Rome, Italy
| | - Laura Mandelli
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Italy
| | - Chiara Fabbri
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Italy
| | - Alessandro Serretti
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Italy.
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Del Toro D, Carrasquero-Ordaz MA, Chu A, Ruff T, Shahin M, Jackson VA, Chavent M, Berbeira-Santana M, Seyit-Bremer G, Brignani S, Kaufmann R, Lowe E, Klein R, Seiradake E. Structural Basis of Teneurin-Latrophilin Interaction in Repulsive Guidance of Migrating Neurons. Cell 2020; 180:323-339.e19. [PMID: 31928845 PMCID: PMC6978801 DOI: 10.1016/j.cell.2019.12.014] [Citation(s) in RCA: 74] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2019] [Revised: 10/15/2019] [Accepted: 12/11/2019] [Indexed: 02/07/2023]
Abstract
Teneurins are ancient metazoan cell adhesion receptors that control brain development and neuronal wiring in higher animals. The extracellular C terminus binds the adhesion GPCR Latrophilin, forming a trans-cellular complex with synaptogenic functions. However, Teneurins, Latrophilins, and FLRT proteins are also expressed during murine cortical cell migration at earlier developmental stages. Here, we present crystal structures of Teneurin-Latrophilin complexes that reveal how the lectin and olfactomedin domains of Latrophilin bind across a spiraling beta-barrel domain of Teneurin, the YD shell. We couple structure-based protein engineering to biophysical analysis, cell migration assays, and in utero electroporation experiments to probe the importance of the interaction in cortical neuron migration. We show that binding of Latrophilins to Teneurins and FLRTs directs the migration of neurons using a contact repulsion-dependent mechanism. The effect is observed with cell bodies and small neurites rather than their processes. The results exemplify how a structure-encoded synaptogenic protein complex is also used for repulsive cell guidance. Crystal structures reveal binding site for Latrophilin on the Teneurin YD shell A ternary Latrophilin-Teneurin-FLRT complex forms in vitro and in vivo Latrophilin controls cortical migration by binding to Teneurins and FLRTs Latrophilin elicits repulsion of cortical cell bodies/small neurites but not axons
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Affiliation(s)
- Daniel Del Toro
- Max Planck Institute of Neurobiology, Am Klopferspitz 18, Martinsried 82152, Germany; Department of Biological Sciences, Institute of Neurosciences, IDIBAPS, CIBERNED, University of Barcelona, Barcelona, Spain
| | | | - Amy Chu
- Department of Biochemistry, Oxford University, Oxford OX1 3QU, UK
| | - Tobias Ruff
- Max Planck Institute of Neurobiology, Am Klopferspitz 18, Martinsried 82152, Germany
| | - Meriam Shahin
- Department of Biochemistry, Oxford University, Oxford OX1 3QU, UK
| | - Verity A Jackson
- Department of Biochemistry, Oxford University, Oxford OX1 3QU, UK
| | | | | | - Goenuel Seyit-Bremer
- Max Planck Institute of Neurobiology, Am Klopferspitz 18, Martinsried 82152, Germany
| | - Sara Brignani
- Max Planck Institute of Neurobiology, Am Klopferspitz 18, Martinsried 82152, Germany
| | - Rainer Kaufmann
- Center for Structural Systems Biology, University of Hamburg, Hamburg 22607, Germany; Department of Physics, University of Hamburg, Hamburg 20355, Germany
| | - Edward Lowe
- Department of Biochemistry, Oxford University, Oxford OX1 3QU, UK
| | - Rüdiger Klein
- Max Planck Institute of Neurobiology, Am Klopferspitz 18, Martinsried 82152, Germany.
| | - Elena Seiradake
- Department of Biochemistry, Oxford University, Oxford OX1 3QU, UK.
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Yang G, Shcheglovitov A. Probing disrupted neurodevelopment in autism using human stem cell-derived neurons and organoids: An outlook into future diagnostics and drug development. Dev Dyn 2019; 249:6-33. [PMID: 31398277 DOI: 10.1002/dvdy.100] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2019] [Revised: 07/23/2019] [Accepted: 07/31/2019] [Indexed: 12/11/2022] Open
Abstract
Autism spectrum disorders (ASDs) represent a spectrum of neurodevelopmental disorders characterized by impaired social interaction, repetitive or restrictive behaviors, and problems with speech. According to a recent report by the Centers for Disease Control and Prevention, one in 68 children in the US is diagnosed with ASDs. Although ASD-related diagnostics and the knowledge of ASD-associated genetic abnormalities have improved in recent years, our understanding of the cellular and molecular pathways disrupted in ASD remains very limited. As a result, no specific therapies or medications are available for individuals with ASDs. In this review, we describe the neurodevelopmental processes that are likely affected in the brains of individuals with ASDs and discuss how patient-specific stem cell-derived neurons and organoids can be used for investigating these processes at the cellular and molecular levels. Finally, we propose a discovery pipeline to be used in the future for identifying the cellular and molecular deficits and developing novel personalized therapies for individuals with idiopathic ASDs.
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Affiliation(s)
- Guang Yang
- Department of Neurobiology and Anatomy, University of Utah, Salt Lake City, Utah.,Neuroscience Graduate Program, University of Utah, Salt Lake City, Utah
| | - Alex Shcheglovitov
- Department of Neurobiology and Anatomy, University of Utah, Salt Lake City, Utah.,Neuroscience Graduate Program, University of Utah, Salt Lake City, Utah
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83
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Meier SM, Trontti K, Purves KL, Als TD, Grove J, Laine M, Pedersen MG, Bybjerg-Grauholm J, Bækved-Hansen M, Sokolowska E, Mortensen PB, Hougaard DM, Werge T, Nordentoft M, Breen G, Børglum AD, Eley TC, Hovatta I, Mattheisen M, Mors O. Genetic Variants Associated With Anxiety and Stress-Related Disorders: A Genome-Wide Association Study and Mouse-Model Study. JAMA Psychiatry 2019; 76:924-932. [PMID: 31116379 PMCID: PMC6537792 DOI: 10.1001/jamapsychiatry.2019.1119] [Citation(s) in RCA: 117] [Impact Index Per Article: 23.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
IMPORTANCE Anxiety and stress-related disorders are among the most common mental disorders. Although family and twin studies indicate that both genetic and environmental factors play an important role underlying their etiology, the genetic underpinnings of anxiety and stress-related disorders are poorly understood. OBJECTIVES To estimate the single-nucleotide polymorphism-based heritability of anxiety and stress-related disorders; to identify novel genetic risk variants, genes, or biological pathways; to test for pleiotropic associations with other psychiatric traits; and to evaluate the association of psychiatric comorbidities with genetic findings. DESIGN, SETTING, PARTICIPANTS This genome-wide association study included individuals with various anxiety and stress-related diagnoses and controls derived from the population-based Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH) study. Lifetime diagnoses of anxiety and stress-related disorders were obtained through the national Danish registers. Genes of interest were further evaluated in mice exposed to chronic social defeat. The study was conducted between June 2016 and November 2018. MAIN OUTCOMES AND MEASURES Diagnoses of a relatively broad diagnostic spectrum of anxiety and stress-related disorders. RESULTS The study sample included 12 655 individuals with various anxiety and stress-related diagnoses and 19 225 controls. Overall, 17 740 study participants (55.6%) were women. A total of 7308 participants (22.9%) were born between 1981-1985, 8840 (27.7%) between 1986-1990, 8157 (25.6%) between 1991-1995, 5918 (18.6%) between 1996-2000, and 1657 (5.2%) between 2001-2005. Standard association analysis revealed variants in PDE4B to be associated with anxiety and stress-related disorder (rs7528604; P = 5.39 × 10-11; odds ratio = 0.89; 95% CI, 0.86-0.92). A framework of sensitivity analyses adjusting for mental comorbidity supported this result showing consistent association of PDE4B variants with anxiety and stress-related disorder across analytical scenarios. In mouse models, alterations in Pde4b expression were observed in those mice displaying anxiety-like behavior after exposure to chronic stress in the prefrontal cortex (P = .002; t = -3.33) and the hippocampus (P = .001; t = -3.72). We also found a single-nucleotide polymorphism heritability of 28% (standard error = 0.027) and that the genetic signature of anxiety and stress-related overlapped with psychiatric traits, educational outcomes, obesity-related phenotypes, smoking, and reproductive success. CONCLUSIONS AND RELEVANCE This study highlights anxiety and stress-related disorders as complex heritable phenotypes with intriguing genetic correlations not only with psychiatric traits, but also with educational outcomes and multiple obesity-related phenotypes. Furthermore, we highlight the candidate gene PDE4B as a robust risk locus pointing to the potential of PDE4B inhibitors in treatment of these disorders.
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Affiliation(s)
- Sandra M. Meier
- Psychosis Research Unit, Aarhus University Hospital, Risskov, Denmark,The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Copenhagen, Denmark,Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital Würzburg, Würzburg, Germany,now with the Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Kalevi Trontti
- Research Program of Molecular and Integrative Biosciences, Faculty of Biological and Environmental Sciences, Department of Psychology and Logopedics, Medicum, and SleepWell Research Program, University of Helsinki, Helsinki, Finland
| | - Kirstin L. Purves
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Thomas Damm Als
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Copenhagen, Denmark,Department of Biomedicine, Aarhus University, Aarhus, Denmark,Centre for integrative Sequencing (iSEQ), Aarhus University, Aarhus, Denmark
| | - Jakob Grove
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Copenhagen, Denmark,Department of Biomedicine, Aarhus University, Aarhus, Denmark,Centre for integrative Sequencing (iSEQ), Aarhus University, Aarhus, Denmark
| | - Mikaela Laine
- Research Program of Molecular and Integrative Biosciences, Faculty of Biological and Environmental Sciences, Department of Psychology and Logopedics, Medicum, and SleepWell Research Program, University of Helsinki, Helsinki, Finland
| | - Marianne Giørtz Pedersen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Copenhagen, Denmark,National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark
| | - Jonas Bybjerg-Grauholm
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Copenhagen, Denmark,Danish Centre for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Marie Bækved-Hansen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Copenhagen, Denmark,Danish Centre for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Ewa Sokolowska
- Research Program of Molecular and Integrative Biosciences, Faculty of Biological and Environmental Sciences, Department of Psychology and Logopedics, Medicum, and SleepWell Research Program, University of Helsinki, Helsinki, Finland
| | - Preben B. Mortensen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Copenhagen, Denmark,Centre for integrative Sequencing (iSEQ), Aarhus University, Aarhus, Denmark,National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark
| | - David M. Hougaard
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Copenhagen, Denmark,Danish Centre for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Thomas Werge
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Copenhagen, Denmark,Institute of Biological Psychiatry, Mental Health Centre Sct Hans, Copenhagen University Hospital, Roskilde, Denmark,Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Merete Nordentoft
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Copenhagen, Denmark,Mental Health Centre Copenhagen, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Gerome Breen
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom,National Institute for Health Research Biomedical Research Centre for Mental Health, South London and Maudsley National Health Service Trust, London, United Kingdom
| | - Anders D. Børglum
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Copenhagen, Denmark,Department of Biomedicine, Aarhus University, Aarhus, Denmark,Centre for integrative Sequencing (iSEQ), Aarhus University, Aarhus, Denmark
| | - Thalia C. Eley
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Iiris Hovatta
- Research Program of Molecular and Integrative Biosciences, Faculty of Biological and Environmental Sciences, Department of Psychology and Logopedics, Medicum, and SleepWell Research Program, University of Helsinki, Helsinki, Finland
| | - Manuel Mattheisen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Copenhagen, Denmark,Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital Würzburg, Würzburg, Germany,Department of Biomedicine, Aarhus University, Aarhus, Denmark,Department of Clinical Neuroscience, Centre for Psychiatric Research, Karolinska Institutet, Stockholm, Sweden
| | - Ole Mors
- Psychosis Research Unit, Aarhus University Hospital, Risskov, Denmark,The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Copenhagen, Denmark
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84
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Pisano S, Pozzi M, Catone G, Scrinzi G, Clementi E, Coppola G, Milone A, Bravaccio C, Santosh P, Masi G. Putative Mechanisms of Action and Clinical Use of Lithium in Children and Adolescents: A Critical Review. Curr Neuropharmacol 2019; 17:318-341. [PMID: 29256353 PMCID: PMC6482478 DOI: 10.2174/1570159x16666171219142120] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2017] [Revised: 10/09/2017] [Accepted: 11/28/2017] [Indexed: 01/17/2023] Open
Abstract
Background: Lithium is a first-line treatment for bipolar disorder in adults, but its mechanism of action is still far from clear. Furthermore, evidences of its use in pediatric populations are sparse, not only for bipolar disorders, but also for other possible indications. Objectives: To provide a synthesis of published data on the possible mechanisms of action of lithium, as well as on its use in pediatric samples, including pharmacokinetics, efficacy, and safety data. Methods: Clinical trials in pediatric samples with at least one standardized measure of efficacy/effectiveness were included in this review. We considered: i) randomized and open label trials, ii) combination studies iii) augmentation studies iv) case series including at least 5 patients. Results: Different and non-alternative mechanisms of action can explain the clinical efficacy of lithium. Clinical studies in pediatric samples suggest that lithium is effective in managing manic symptoms/episodes of bipolar disorder, both in the acute phase and as maintenance strategy. Efficacy on depressive symptoms/phases of bipolar disorder is much less clear, while studies do not support its use in unipolar depression and severe mood dysregulation. Conversely, it may be effective on aggression in the context of conduct disorder. Other possible indications, with limited published evidence, are the acute attacks in Kleine-Levin syndrome, behavioral symptoms of X-fragile syndrome, and the management of clozapine- or chemotherapy- induced neutropenia. Generally, lithium resulted relatively safe. Conclusions: Lithium seems an effective and well-tolerated medication in pediatric bipolar disorder and aggression, while further evidences are needed for other clinical indications.
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Affiliation(s)
- Simone Pisano
- Clinic of Child and Adolescent Neuropsychiatry, Department of Medicine and Surgery, University of Salerno, Salerno, Italy
| | - Marco Pozzi
- Scientific Institute IRCCS Eugenio Medea, 23842 Bosisio Parini, Lecco, Italy
| | - Gennaro Catone
- Dept. of Mental and Physical Health and Preventive Medicine, Child and Adolescent Psychiatry Division, Campania University- Luigi Vanvitelli, Italy
| | - Giulia Scrinzi
- Department of Surgical Sciences, Dentistry, Gynecology and Pediatrics, Child Neuropsychiatry Unit, University of Verona, Verona 37126, Italy
| | - Emilio Clementi
- Scientific Institute IRCCS Eugenio Medea, 23842 Bosisio Parini, Lecco, Italy.,Unit of Clinical Pharmacology, CNR Institute of Neuroscience, Department of Biomedical and Clinical Sciences L. Sacco, "Luigi Sacco" University Hospital, University of Milan, 20157 Milan, Italy
| | - Giangennaro Coppola
- Clinic of Child and Adolescent Neuropsychiatry, Department of Medicine and Surgery, University of Salerno, Salerno, Italy
| | - Annarita Milone
- IRCCS Stella Maris, Scientific Institute of Child Neurology and Psychiatry, Calambrone, Pisa, Italy
| | - Carmela Bravaccio
- Department of Translational Medical Sciences, University Federico II of Naples, Italy
| | - Paramala Santosh
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom.,Centre for Interventional Paediatric Psychopharmacology and Rare Diseases (CIPPRD), National and Specialist Child and Adolescent Mental Health Services, Maudsley Hospital, London, United States.,HealthTracker Ltd, Gillingham, United States
| | - Gabriele Masi
- IRCCS Stella Maris, Scientific Institute of Child Neurology and Psychiatry, Calambrone, Pisa, Italy
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85
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Fedorenko OY, Golimbet VE, Ivanova SА, Levchenko А, Gainetdinov RR, Semke AV, Simutkin GG, Gareeva АE, Glotov АS, Gryaznova A, Iourov IY, Krupitsky EM, Lebedev IN, Mazo GE, Kaleda VG, Abramova LI, Oleichik IV, Nasykhova YA, Nasyrova RF, Nikolishin AE, Kasyanov ED, Rukavishnikov GV, Timerbulatov IF, Brodyansky VM, Vorsanova SG, Yurov YB, Zhilyaeva TV, Sergeeva AV, Blokhina EA, Zvartau EE, Blagonravova AS, Aftanas LI, Bokhan NА, Kekelidze ZI, Klimenko TV, Anokhina IP, Khusnutdinova EK, Klyushnik TP, Neznanov NG, Stepanov VA, Schulze TG, Kibitov АО. Opening up new horizons for psychiatric genetics in the Russian Federation: moving toward a national consortium. Mol Psychiatry 2019; 24:1099-1111. [PMID: 30664668 PMCID: PMC6756082 DOI: 10.1038/s41380-019-0354-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2018] [Revised: 12/27/2018] [Accepted: 12/31/2018] [Indexed: 12/18/2022]
Abstract
We provide an overview of the recent achievements in psychiatric genetics research in the Russian Federation and present genotype-phenotype, population, epigenetic, cytogenetic, functional, ENIGMA, and pharmacogenetic studies, with an emphasis on genome-wide association studies. The genetic backgrounds of mental illnesses in the polyethnic and multicultural population of the Russian Federation are still understudied. Furthermore, genetic, genomic, and pharmacogenetic data from the Russian Federation are not adequately represented in the international scientific literature, are currently not available for meta-analyses and have never been compared with data from other populations. Most of these problems cannot be solved by individual centers working in isolation but warrant a truly collaborative effort that brings together all the major psychiatric genetic research centers in the Russian Federation in a national consortium. For this reason, we have established the Russian National Consortium for Psychiatric Genetics (RNCPG) with the aim to strengthen the power and rigor of psychiatric genetics research in the Russian Federation and enhance the international compatibility of this research.The consortium is set up as an open organization that will facilitate collaborations on complex biomedical research projects in human mental health in the Russian Federation and abroad. These projects will include genotyping, sequencing, transcriptome and epigenome analysis, metabolomics, and a wide array of other state-of-the-art analyses. Here, we discuss the challenges we face and the approaches we will take to unlock the huge potential that the Russian Federation holds for the worldwide psychiatric genetics community.
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Affiliation(s)
- Olga Yu Fedorenko
- Mental Health Research Institute, Tomsk National Research Medical Center of Russian Academy of Sciences, Tomsk, Russian Federation.
- National Research Tomsk Polytechnic University, Tomsk, Russian Federation.
| | | | - Svetlana А Ivanova
- Mental Health Research Institute, Tomsk National Research Medical Center of Russian Academy of Sciences, Tomsk, Russian Federation
- National Research Tomsk Polytechnic University, Tomsk, Russian Federation
| | - Аnastasia Levchenko
- Institute of Translational Biomedicine, Saint Petersburg State University, Saint Petersburg, Russian Federation
| | - Raul R Gainetdinov
- Institute of Translational Biomedicine, Saint Petersburg State University, Saint Petersburg, Russian Federation
| | - Arkady V Semke
- Mental Health Research Institute, Tomsk National Research Medical Center of Russian Academy of Sciences, Tomsk, Russian Federation
| | - German G Simutkin
- Mental Health Research Institute, Tomsk National Research Medical Center of Russian Academy of Sciences, Tomsk, Russian Federation
| | - Аnna E Gareeva
- Institute of Biochemistry and Genetics, Ufa Federal Research Center, Russian Academy of Sciences, Ufa, Russian Federation
- Federal State Educational Institution of Highest Education Bashkir State Medical University of Public Health Ministry of Russian Federation, Ufa, Russian Federation
| | - Аndrey S Glotov
- Laboratory of Biobanking and Genomic Medicine of Institute of Translational Biomedicine, Saint Petersburg State University, Saint Petersburg, Russian Federation
| | - Anna Gryaznova
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU, Munich, Germany
| | - Ivan Y Iourov
- Mental Health Research Center, Moscow, Russian Federation
| | - Evgeny M Krupitsky
- V.M. Bekhterev National Medical Research Center for Psychiatry and Neurology, Saint Petersburg, Russian Federation
| | - Igor N Lebedev
- Research Institute of Medical Genetics, Tomsk National Research Medical Center of Russian Academy of Sciences, Tomsk, Russian Federation
| | - Galina E Mazo
- V.M. Bekhterev National Medical Research Center for Psychiatry and Neurology, Saint Petersburg, Russian Federation
| | | | | | | | - Yulia A Nasykhova
- Laboratory of Biobanking and Genomic Medicine of Institute of Translational Biomedicine, Saint Petersburg State University, Saint Petersburg, Russian Federation
| | - Regina F Nasyrova
- V.M. Bekhterev National Medical Research Center for Psychiatry and Neurology, Saint Petersburg, Russian Federation
| | - Anton E Nikolishin
- Serbsky National Medical Research Center on Psychiatry and Addictions, Moscow, Russian Federation
| | - Evgeny D Kasyanov
- V.M. Bekhterev National Medical Research Center for Psychiatry and Neurology, Saint Petersburg, Russian Federation
| | - Grigory V Rukavishnikov
- V.M. Bekhterev National Medical Research Center for Psychiatry and Neurology, Saint Petersburg, Russian Federation
| | - Ilgiz F Timerbulatov
- Federal State Educational Institution of Highest Education Bashkir State Medical University of Public Health Ministry of Russian Federation, Ufa, Russian Federation
| | - Vadim M Brodyansky
- Serbsky National Medical Research Center on Psychiatry and Addictions, Moscow, Russian Federation
| | - Svetlana G Vorsanova
- Veltischev Research and Clinical Institute for Pediatrics, the Pirogov Russian National Research Medical University, Moscow, Russian Federation
| | - Yury B Yurov
- Mental Health Research Center, Moscow, Russian Federation
| | - Tatyana V Zhilyaeva
- Privolzhskiy Research Medical University, Nizhny Novgorod, Russian Federation
| | | | - Elena A Blokhina
- First Saint Petersburg Pavlov State Medical University, Saint Petersburg, Russian Federation
| | - Edwin E Zvartau
- First Saint Petersburg Pavlov State Medical University, Saint Petersburg, Russian Federation
| | - Anna S Blagonravova
- Privolzhskiy Research Medical University, Nizhny Novgorod, Russian Federation
| | - Lyubomir I Aftanas
- Federal State Scientific Budgetary Institution "Scientific Research Institute of Physiology and Basic Medicine,", Novosibirsk, Russian Federation
| | - Nikolay А Bokhan
- Mental Health Research Institute, Tomsk National Research Medical Center of Russian Academy of Sciences, Tomsk, Russian Federation
- National Research Tomsk State University, Tomsk, Russian Federation
| | - Zurab I Kekelidze
- Serbsky National Medical Research Center on Psychiatry and Addictions, Moscow, Russian Federation
| | - Tatyana V Klimenko
- Serbsky National Medical Research Center on Psychiatry and Addictions, Moscow, Russian Federation
| | - Irina P Anokhina
- Serbsky National Medical Research Center on Psychiatry and Addictions, Moscow, Russian Federation
| | - Elza K Khusnutdinova
- Institute of Biochemistry and Genetics, Ufa Federal Research Center, Russian Academy of Sciences, Ufa, Russian Federation
- Federal State Educational Institution of Highest Education Bashkir State Medical University of Public Health Ministry of Russian Federation, Ufa, Russian Federation
| | | | - Nikolay G Neznanov
- V.M. Bekhterev National Medical Research Center for Psychiatry and Neurology, Saint Petersburg, Russian Federation
| | - Vadim A Stepanov
- Research Institute of Medical Genetics, Tomsk National Research Medical Center of Russian Academy of Sciences, Tomsk, Russian Federation
- National Research Tomsk State University, Tomsk, Russian Federation
| | - Thomas G Schulze
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU, Munich, Germany
| | - Аleksandr О Kibitov
- Serbsky National Medical Research Center on Psychiatry and Addictions, Moscow, Russian Federation
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86
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Cuellar-Barboza AB, Winham SJ, Biernacka JM, Frye MA, McElroy SL. Clinical phenotype and genetic risk factors for bipolar disorder with binge eating: an update. Expert Rev Neurother 2019; 19:867-879. [PMID: 31269819 DOI: 10.1080/14737175.2019.1638764] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
Introduction: Clinical and genetic study of psychiatric conditions has underscored the co-occurrence of complex phenotypes and the need to refine them. Bipolar Disorder (BD) and Binge Eating (BE) behavior are common psychiatric conditions that have high heritability and high co-occurrence, such that at least one quarter of BD patients have BE (BD + BE). Genetic studies of BD alone and of BE alone suggest complex polygenic risk models, with many genetic risk loci yet to be identified. Areas covered: We review studies of the epidemiology of BD+BE, its clinical features (cognitive traits, psychiatric comorbidity, and role of obesity), genomic studies (of BD, eating disorders (ED) defined by BE, and BD + BE), and therapeutic implications of BD + BE. Expert opinion: Subphenotyping of complex psychiatric disorders reduces heterogeneity and increases statistical power and effect size; thus, it enhances our capacity to find missing genetic (and other) risk factors. BD + BE has a severe clinical picture and genetic studies suggests a distinct genetic architecture. Differential therapeutic interventions may be needed for patients with BD + BE compared with BD patients without BE. Recognizing the BD + BE subphenotype is an example of moving towards more precise clinical and genetic entities.
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Affiliation(s)
- Alfredo B Cuellar-Barboza
- Universidad Autonoma de Nuevo Leon, Department of Psychiatry, School of Medicine , Monterrey , NL , Mexico.,Department of Psychiatry and Psychology, Mayo Clinic , Rochester , MN , USA
| | - Stacey J Winham
- Department of Psychiatry and Psychology, Mayo Clinic , Rochester , MN , USA.,Department of Health Sciences Research, Mayo Clinic , Rochester , MN , USA
| | - Joanna M Biernacka
- Department of Psychiatry and Psychology, Mayo Clinic , Rochester , MN , USA.,Department of Health Sciences Research, Mayo Clinic , Rochester , MN , USA
| | - Mark A Frye
- Department of Psychiatry and Psychology, Mayo Clinic , Rochester , MN , USA.,Department of Health Sciences Research, Mayo Clinic , Rochester , MN , USA
| | - Susan L McElroy
- Lindner Center of HOPE , Mason , OH , USA.,Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati , Cincinnati , OH , USA
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87
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Nascimento C, Nunes VP, Diehl Rodriguez R, Takada L, Suemoto CK, Grinberg LT, Nitrini R, Lafer B. A review on shared clinical and molecular mechanisms between bipolar disorder and frontotemporal dementia. Prog Neuropsychopharmacol Biol Psychiatry 2019; 93:269-283. [PMID: 31014945 PMCID: PMC6994228 DOI: 10.1016/j.pnpbp.2019.04.008] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2018] [Revised: 04/15/2019] [Accepted: 04/18/2019] [Indexed: 12/12/2022]
Abstract
Mental disorders are highly prevalent and important causes of medical burden worldwide. Co-occurrence of neurological and psychiatric symptoms are observed among mental disorders, representing a challenge for their differential diagnosis. Psychiatrists and neurologists have faced challenges in diagnosing old adults presenting behavioral changes. This is the case for early frontotemporal dementia (FTD) and bipolar disorder. In its initial stages, FTD is characterized by behavioral or language disturbances in the absence of cognitive symptoms. Consequently, patients with the behavioral subtype of FTD (bv-FTD) can be initially misdiagnosed as having a psychiatric disorder, typically major depression disorder (MDD) or bipolar disorder (BD). Bipolar disorder is associated with a higher risk of dementia in older adults and with cognitive impairment, with a subset of patients presents a neuroprogressive pattern during the disease course. No mendelian mutations were identified in BD, whereas three major genetic causes of FTD have been identified. Clinical similarities between BD and bv-FTD raise the question whether common molecular pathways might explain shared clinical symptoms. Here, we reviewed existing data on clinical and molecular similarities between BD and FTD to propose biological pathways that can be further investigated as common or specific markers of BD and FTD.
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Affiliation(s)
- Camila Nascimento
- Bipolar Disorder Program (PROMAN), Department of Psychiatry, University of São Paulo Medical School, São Paulo, Brazil.
| | - Villela Paula Nunes
- Bipolar Disorder Program (PROMAN), Department of Psychiatry, University of São Paulo Medical School, São Paulo, Brazil.
| | - Roberta Diehl Rodriguez
- Behavioral and Cognitive Neurology Unit, Department of Neurology and LIM 22, University of São Paulo, São Paulo 05403-900, Brazil
| | - Leonel Takada
- Behavioral and Cognitive Neurology Unit, Department of Neurology, University of São Paulo, São Paulo 05403-900, Brazil
| | - Cláudia Kimie Suemoto
- Division of Geriatrics, LIM-22, University of São Paulo Medical School, São Paulo 01246-90, Brazil
| | - Lea Tenenholz Grinberg
- Department of Pathology, LIM-22, University of São Paulo Medical School, São Paulo 01246-90, Brazil; Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA 94143-120, USA.
| | - Ricardo Nitrini
- Behavioral and Cognitive Neurology Unit, Department of Neurology, University of São Paulo, São Paulo 05403-900, Brazil
| | - Beny Lafer
- Bipolar Disorder Program (PROMAN), Department of Psychiatry, University of São Paulo Medical School, São Paulo, Brazil
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88
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Moreno-Salinas AL, Avila-Zozaya M, Ugalde-Silva P, Hernández-Guzmán DA, Missirlis F, Boucard AA. Latrophilins: A Neuro-Centric View of an Evolutionary Conserved Adhesion G Protein-Coupled Receptor Subfamily. Front Neurosci 2019; 13:700. [PMID: 31354411 PMCID: PMC6629964 DOI: 10.3389/fnins.2019.00700] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Accepted: 06/20/2019] [Indexed: 12/21/2022] Open
Abstract
The adhesion G protein-coupled receptors latrophilins have been in the limelight for more than 20 years since their discovery as calcium-independent receptors for α-latrotoxin, a spider venom toxin with potent activity directed at neurotransmitter release from a variety of synapse types. Latrophilins are highly expressed in the nervous system. Although a substantial amount of studies has been conducted to describe the role of latrophilins in the toxin-mediated action, the recent identification of endogenous ligands for these receptors helped confirm their function as mediators of adhesion events. Here we hypothesize a role for latrophilins in inter-neuronal contacts and the formation of neuronal networks and we review the most recent information on their role in neurons. We explore molecular, cellular and behavioral aspects related to latrophilin adhesion function in mice, zebrafish, Drosophila melanogaster and Caenorhabditis elegans, in physiological and pathophysiological conditions, including autism spectrum, bipolar, attention deficit and hyperactivity and substance use disorders.
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Affiliation(s)
- Ana L. Moreno-Salinas
- Department of Cell Biology, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV-IPN), Mexico City, Mexico
| | - Monserrat Avila-Zozaya
- Department of Cell Biology, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV-IPN), Mexico City, Mexico
| | - Paul Ugalde-Silva
- Department of Cell Biology, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV-IPN), Mexico City, Mexico
| | - David A. Hernández-Guzmán
- Department of Physiology, Biophysics and Neurosciences, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV-IPN), Mexico City, Mexico
| | - Fanis Missirlis
- Department of Physiology, Biophysics and Neurosciences, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV-IPN), Mexico City, Mexico
| | - Antony A. Boucard
- Department of Cell Biology, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV-IPN), Mexico City, Mexico
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89
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Prata DP, Costa-Neves B, Cosme G, Vassos E. Unravelling the genetic basis of schizophrenia and bipolar disorder with GWAS: A systematic review. J Psychiatr Res 2019; 114:178-207. [PMID: 31096178 DOI: 10.1016/j.jpsychires.2019.04.007] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2018] [Revised: 04/08/2019] [Accepted: 04/10/2019] [Indexed: 01/02/2023]
Abstract
OBJECTIVES To systematically review findings of GWAS in schizophrenia (SZ) and in bipolar disorder (BD); and to interpret findings, with a focus on identifying independent replications. METHOD PubMed search, selection and review of all independent GWAS in SZ or BD, published since March 2011, i.e. studies using non-overlapping samples within each article, between articles, and with those of the previous review (Li et al., 2012). RESULTS From the 22 GWAS included in this review, the genetic associations surviving standard GWAS-significance were for genetic markers in the regions of ACSL3/KCNE4, ADCY2, AMBRA1, ANK3, BRP44, DTL, FBLN1, HHAT, INTS7, LOC392301, LOC645434/NMBR, LOC729457, LRRFIP1, LSM1, MDM1, MHC, MIR2113/POU3F2, NDST3, NKAPL, ODZ4, PGBD1, RENBP, TRANK1, TSPAN18, TWIST2, UGT1A1/HJURP, WHSC1L1/FGFR1 and ZKSCAN4. All genes implicated across both reviews are discussed in terms of their function and implication in neuropsychiatry. CONCLUSION Taking all GWAS to date into account, AMBRA1, ANK3, ARNTL, CDH13, EFHD1 (albeit with different alleles), MHC, PLXNA2 and UGT1A1 have been implicated in either disorder in at least two reportedly non-overlapping samples. Additionally, evidence for a SZ/BD common genetic basis is most strongly supported by the implication of ANK3, NDST3, and PLXNA2.
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Affiliation(s)
- Diana P Prata
- Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências, Universidade de Lisboa, Portugal; Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16 De Crespigny Park, SE5 8AF, UK; Instituto Universitário de Lisboa (ISCTE-IUL), Centro de Investigação e Intervenção Social, Lisboa, Portugal.
| | - Bernardo Costa-Neves
- Lisbon Medical School, University of Lisbon, Av. Professor Egas Moniz, 1649-028, Lisbon, Portugal; Centro Hospitalar Psiquiátrico de Lisboa, Av. do Brasil, 53 1749-002, Lisbon, Portugal
| | - Gonçalo Cosme
- Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências, Universidade de Lisboa, Portugal
| | - Evangelos Vassos
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King's College London, 16 De Crespigny Park, SE5 8AF, UK
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90
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Zhang K, Fan Z, Wang Y, Faraone SV, Yang L, Chang S. Genetic analysis for cognitive flexibility in the trail-making test in attention deficit hyperactivity disorder patients from single nucleotide polymorphism, gene to pathway level. World J Biol Psychiatry 2019; 20:476-485. [PMID: 28971736 PMCID: PMC10752618 DOI: 10.1080/15622975.2017.1386324] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2017] [Revised: 09/12/2017] [Accepted: 09/25/2017] [Indexed: 12/31/2022]
Abstract
Objectives: Investigation of the genetic basis of endophenotype and analysis the pathways with multiple genes of small effects might increase the understanding of the genetic basis of attention deficit hyperactivity disorder (ADHD). Here we aimed to explore the genetic basis of cognitive flexibility in ADHD at the single nucleotide polymorphism (SNP), gene and pathway levels. Methods: The trail-making test was used to test the cognitive flexibility of 788 ADHD patients. A genome-wide association analysis of cognitive flexibility was conducted for 644,166 SNPs. Results: The top SNP rs2049161 (P = 5.08e-7) involved gene DLGAP1 and the top gene CADPS2 in the gene-based analysis resulted in much literature evidence of associations with psychiatric disorders. Gene expression and network analysis showed their contribution to cognition function. The interval-enrichment analysis highlighted a potential contribution of 'adenylate cyclase activity' and ADCY2 to cognitive flexibility. Candidate pathway-based analysis for all SNPs found that glutamate system-, neurite outgrowth- and noradrenergic system-related pathways were significantly associated with cognitive flexibility (FDR <0.05), among which the neurite outgrowth pathway was also associated with ADHD symptoms. Conclusions: This study provides evidence for the genes and pathways associated with cognitive flexibility and facilitate the uncovering of the genetic basis of ADHD.
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Affiliation(s)
- Kunlin Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, 16 Lincui Road, Beijing 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, 19 A Yuquan Rd, Beijing100049, China
| | - Zili Fan
- Peking University Sixth Hospital (Institute of Mental Health), National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health (Peking University), 51 HuayuanBei Road, Beijing 100191, China
| | - Yufeng Wang
- Peking University Sixth Hospital (Institute of Mental Health), National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health (Peking University), 51 HuayuanBei Road, Beijing 100191, China
| | - Stephen V. Faraone
- Departments of Psychiatry and of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse NY, USA; K.G. Jebsen Centre for Research on Neuropsychiatric Disorders, University of Bergen, Bergen, Norway
| | - Li Yang
- Peking University Sixth Hospital (Institute of Mental Health), National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health (Peking University), 51 HuayuanBei Road, Beijing 100191, China
| | - Suhua Chang
- CAS Key Laboratory of Mental Health, Institute of Psychology, 16 Lincui Road, Beijing 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, 19 A Yuquan Rd, Beijing100049, China
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91
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Li W, Yang Y, Luo B, Zhang Y, Song X, Li M, Lv L. Association of SYNE1 locus with bipolar disorder in Chinese population. Hereditas 2019; 156:19. [PMID: 31236099 PMCID: PMC6580462 DOI: 10.1186/s41065-019-0095-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2019] [Accepted: 06/11/2019] [Indexed: 01/08/2023] Open
Abstract
Objectives Genome-wide association studies (GWAS) suggest that rs9371601 in the SYNE1 gene is a risk SNP for bipolar disorder (BPD) in populations of European ancestry, but further replication analyses across distinct populations are needed. Methods We analyzed the association between rs9371601 and BPD in a Han Chinese sample of 1315 BPD cases and 1956 controls. Results We observed a significant association between rs9371601 and BPD in Han Chinese (p = 0.0121, OR = 0.859). However, further examinations revealed that the Europeans and Chinese subjects had different BPD risk alleles at the locus. We then found that rs9371601 had different “minor alleles” and distinct linkage disequilibrium (LD) patterns surrounding itself in Europeans and Han Chinese, which might be the explanation of the observed inconsistent association signals for this locus in different populations. Our explorative analyses of the biological impact of rs9371601 suggested that this SNP was significantly associated with the methylation of a CpG site (cg01844274, p = 5.05⨯10− 6) within SYNE1 in human dorsal lateral prefrontal cortex (DLPFC) tissues. Conclusions Our data confirms the association between rs9371601 and BPD, but the underlying biological mechanism remains to be fully elucidated in further studies. Electronic supplementary material The online version of this article (10.1186/s41065-019-0095-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Wenqiang Li
- 1Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan China.,2Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang, Henan China
| | - Yongfeng Yang
- 1Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan China.,2Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang, Henan China
| | - Binbin Luo
- 1Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan China.,2Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang, Henan China
| | - Yan Zhang
- 1Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan China.,2Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang, Henan China
| | - Xueqin Song
- 3The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan China
| | - Ming Li
- 4Key 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
| | - Luxian Lv
- 1Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan China.,2Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang, Henan China.,5Henan Province People's Hospital, Zhengzhou, Henan China
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92
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Dezhina Z, Ranlund S, Kyriakopoulos M, Williams SCR, Dima D. A systematic review of associations between functional MRI activity and polygenic risk for schizophrenia and bipolar disorder. Brain Imaging Behav 2019; 13:862-877. [PMID: 29748770 PMCID: PMC6538577 DOI: 10.1007/s11682-018-9879-z] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Genetic factors account for up to 80% of the liability for schizophrenia (SCZ) and bipolar disorder (BD). Genome-wide association studies have successfully identified several genes associated with increased risk for both disorders. This has allowed researchers to model the aggregate effect of genes associated with disease status and create a polygenic risk score (PGRS) for each individual. The interest in imaging genetics using PGRS has grown in recent years, with several studies now published. We have conducted a systematic review to examine the effects of PGRS of SCZ, BD and cross psychiatric disorders on brain function and connectivity using fMRI data. Results indicate that the effect of genetic load for SCZ and BD on brain function affects task-related recruitment, with frontal areas having a more prominent role, independent of task. Additionally, the results suggest that the polygenic architecture of psychotic disorders is not regionally confined but impacts on the task-dependent recruitment of multiple brain regions. Future imaging genetics studies with large samples, especially population studies, would be uniquely informative in mapping the spatial distribution of the genetic risk to psychiatric disorders on brain processes during various cognitive tasks and may lead to the discovery of biological pathways that could be crucial in mediating the link between genetic factors and alterations in brain networks.
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Affiliation(s)
- Zalina Dezhina
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Siri Ranlund
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Marinos Kyriakopoulos
- National and Specialist Acorn Lodge Inpatient Children Unit, South London and Maudsley NHS Foundation Trust, London, UK
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Steve C R Williams
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Danai Dima
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
- Department of Psychology, School of Arts and Social Sciences, City, University of London, 10 Northampton Square, London, EC1V 0HB, UK.
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93
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Commonality in dysregulated expression of gene sets in cortical brains of individuals with autism, schizophrenia, and bipolar disorder. Transl Psychiatry 2019; 9:152. [PMID: 31127088 PMCID: PMC6534650 DOI: 10.1038/s41398-019-0488-4] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2018] [Revised: 04/03/2019] [Accepted: 04/10/2019] [Indexed: 12/14/2022] Open
Abstract
Individuals affected with different neuropsychiatric disorders such as autism (AUT), schizophrenia (SCZ) and bipolar disorder (BPD), may share similar clinical manifestations, suggesting shared genetic influences and common biological mechanisms underlying these disorders. Using brain transcriptome data gathered from postmortem donors affected with AUT, SCZ and BPD, it is now possible to identify shared dysregulated gene sets, i.e., those abnormally expressed in brains of neuropsychiatric patients, compared to non-psychiatric controls. Here, we apply a novel aberrant gene expression analysis method, coupled with consensus co-expression network analysis, to identify gene sets with shared dysregulated expression in cortical brains of individuals affected with AUT, SCZ and BPD. We identify eight gene sets with dysregulated expression shared by AUT, SCZ and BPD, 23 by AUT and SCZ, four by AUT and BPD, and two by SCZ and BPD. The identified genes are enriched with functions relevant to amino acid transport, synapse, neurotransmitter release, oxidative stress, nitric oxide synthase biosynthesis, immune response, protein folding, lysophosphatidic acid-mediated signaling and glycolysis. Our method has been proven to be effective in discovering and revealing multigene sets with dysregulated expression shared by different neuropsychiatric disorders. Our findings provide new insights into the common molecular mechanisms underlying the pathogenesis and progression of AUT, SCZ and BPD, contributing to the study of etiological overlap between these neuropsychiatric disorders.
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94
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Xiang D, Zhao SD, Tony Cai T. Signal classification for the integrative analysis of multiple sequences of large-scale multiple tests. J R Stat Soc Series B Stat Methodol 2019. [DOI: 10.1111/rssb.12323] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
- Dongdong Xiang
- East China Normal University; Shanghai People's Republic of China
| | | | - T. Tony Cai
- University of Pennsylvania; Philadelphia USA
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95
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Stahl EA, Breen G, Forstner AJ, McQuillin A, Ripke S, Trubetskoy V, Mattheisen M, Wang Y, Coleman JRI, Gaspar HA, de Leeuw CA, Steinberg S, Pavlides JMW, Trzaskowski M, Byrne EM, Pers TH, Holmans PA, Richards AL, Abbott L, Agerbo E, Akil H, Albani D, Alliey-Rodriguez N, Als TD, Anjorin A, Antilla V, Awasthi S, Badner JA, Bækvad-Hansen M, Barchas JD, Bass N, Bauer M, Belliveau R, Bergen SE, Pedersen CB, Bøen E, Boks MP, Boocock J, Budde M, Bunney W, Burmeister M, Bybjerg-Grauholm J, Byerley W, Casas M, Cerrato F, Cervantes P, Chambert K, Charney AW, Chen D, Churchhouse C, Clarke TK, Coryell W, Craig DW, Cruceanu C, Curtis D, Czerski PM, Dale AM, de Jong S, Degenhardt F, Del-Favero J, DePaulo JR, Djurovic S, Dobbyn AL, Dumont A, Elvsåshagen T, Escott-Price V, Fan CC, Fischer SB, Flickinger M, Foroud TM, Forty L, Frank J, Fraser C, Freimer NB, Frisén L, Gade K, Gage D, Garnham J, Giambartolomei C, Pedersen MG, Goldstein J, Gordon SD, Gordon-Smith K, Green EK, Green MJ, Greenwood TA, Grove J, Guan W, Guzman-Parra J, Hamshere ML, Hautzinger M, Heilbronner U, Herms S, Hipolito M, Hoffmann P, Holland D, Huckins L, Jamain S, Johnson JS, Juréus A, Kandaswamy R, Karlsson R, Kennedy JL, Kittel-Schneider S, Knowles JA, Kogevinas M, Koller AC, Kupka R, Lavebratt C, Lawrence J, Lawson WB, Leber M, Lee PH, Levy SE, Li JZ, Liu C, Lucae S, Maaser A, MacIntyre DJ, Mahon PB, Maier W, Martinsson L, McCarroll S, McGuffin P, McInnis MG, McKay JD, Medeiros H, Medland SE, Meng F, Milani L, Montgomery GW, Morris DW, Mühleisen TW, Mullins N, Nguyen H, Nievergelt CM, Adolfsson AN, Nwulia EA, O'Donovan C, Loohuis LMO, Ori APS, Oruc L, Ösby U, Perlis RH, Perry A, Pfennig A, Potash JB, Purcell SM, Regeer EJ, Reif A, Reinbold CS, Rice JP, Rivas F, Rivera M, Roussos P, Ruderfer DM, Ryu E, Sánchez-Mora C, Schatzberg AF, Scheftner WA, Schork NJ, Shannon Weickert C, Shehktman T, Shilling PD, Sigurdsson E, Slaney C, Smeland OB, Sobell JL, Søholm Hansen C, Spijker AT, St Clair D, Steffens M, Strauss JS, Streit F, Strohmaier J, Szelinger S, Thompson RC, Thorgeirsson TE, Treutlein J, Vedder H, Wang W, Watson SJ, Weickert TW, Witt SH, Xi S, Xu W, Young AH, Zandi P, Zhang P, Zöllner S, Adolfsson R, Agartz I, Alda M, Backlund L, Baune BT, Bellivier F, Berrettini WH, Biernacka JM, Blackwood DHR, Boehnke M, Børglum AD, Corvin A, Craddock N, Daly MJ, Dannlowski U, Esko T, Etain B, Frye M, Fullerton JM, Gershon ES, Gill M, Goes F, Grigoroiu-Serbanescu M, Hauser J, Hougaard DM, Hultman CM, Jones I, Jones LA, Kahn RS, Kirov G, Landén M, Leboyer M, Lewis CM, Li QS, Lissowska J, Martin NG, Mayoral F, McElroy SL, McIntosh AM, McMahon FJ, Melle I, Metspalu A, Mitchell PB, Morken G, Mors O, Mortensen PB, Müller-Myhsok B, Myers RM, Neale BM, Nimgaonkar V, Nordentoft M, Nöthen MM, O'Donovan MC, Oedegaard KJ, Owen MJ, Paciga SA, Pato C, Pato MT, Posthuma D, Ramos-Quiroga JA, Ribasés M, Rietschel M, Rouleau GA, Schalling M, Schofield PR, Schulze TG, Serretti A, Smoller JW, Stefansson H, Stefansson K, Stordal E, Sullivan PF, Turecki G, Vaaler AE, Vieta E, Vincent JB, Werge T, Nurnberger JI, Wray NR, Di Florio A, Edenberg HJ, Cichon S, Ophoff RA, Scott LJ, Andreassen OA, Kelsoe J, Sklar P. Genome-wide association study identifies 30 loci associated with bipolar disorder. Nat Genet 2019; 51:793-803. [PMID: 31043756 PMCID: PMC6956732 DOI: 10.1038/s41588-019-0397-8] [Citation(s) in RCA: 910] [Impact Index Per Article: 182.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2018] [Accepted: 03/18/2019] [Indexed: 12/18/2022]
Abstract
Bipolar disorder is a highly heritable psychiatric disorder. We performed a genome-wide association study (GWAS) including 20,352 cases and 31,358 controls of European descent, with follow-up analysis of 822 variants with P < 1 × 10-4 in an additional 9,412 cases and 137,760 controls. Eight of the 19 variants that were genome-wide significant (P < 5 × 10-8) in the discovery GWAS were not genome-wide significant in the combined analysis, consistent with small effect sizes and limited power but also with genetic heterogeneity. In the combined analysis, 30 loci were genome-wide significant, including 20 newly identified loci. The significant loci contain genes encoding ion channels, neurotransmitter transporters and synaptic components. Pathway analysis revealed nine significantly enriched gene sets, including regulation of insulin secretion and endocannabinoid signaling. Bipolar I disorder is strongly genetically correlated with schizophrenia, driven by psychosis, whereas bipolar II disorder is more strongly correlated with major depressive disorder. These findings address key clinical questions and provide potential biological mechanisms for bipolar disorder.
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Affiliation(s)
- 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.
| | - Gerome Breen
- MRC Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
- NIHR BRC for Mental Health, King's College London, London, UK
| | - Andreas J Forstner
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Department of Psychiatry (UPK), University of Basel, Basel, Switzerland
- Institute of Human Genetics, University of Bonn School of Medicine & University Hospital Bonn, Bonn, Germany
- Centre for Human Genetics, University of Marburg, Marburg, Germany
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | | | - 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
| | - Vassily Trubetskoy
- Department of Psychiatry and Psychotherapy, Charité-Universitätsmedizin, Berlin, Germany
| | - Manuel Mattheisen
- iSEQ, Center for Integrative Sequencing, Aarhus University, Aarhus, Denmark
- Department of Biomedicine-Human Genetics, Aarhus University, Aarhus, Denmark
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital Würzburg, Würzburg, Germany
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
| | - Yunpeng Wang
- Institute of Biological Psychiatry, Mental Health Centre Sct. Hans, Copenhagen, Denmark
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Jonathan R I Coleman
- MRC Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
- NIHR BRC for Mental Health, King's College London, London, UK
| | - Héléna A Gaspar
- MRC Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
- NIHR BRC for Mental Health, King's College London, London, UK
| | - Christiaan A de Leeuw
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | | | | | - Maciej Trzaskowski
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
| | - Enda M Byrne
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
| | - Tune H Pers
- Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
- Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, MA, USA
| | - Peter A Holmans
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, England
| | - Alexander L Richards
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, England
| | - Liam Abbott
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
| | - Esben Agerbo
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- National Centre for Register-based Research and Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark
| | - Huda Akil
- Molecular & Behavioral Neuroscience Institute, University of Michigan, Ann Arbor, MI, USA
| | - 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
| | - 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
| | - Adebayo Anjorin
- Department of Psychiatry, Berkshire Healthcare NHS Foundation Trust, Bracknell, UK
| | - Verneri Antilla
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Swapnil Awasthi
- Department of Psychiatry and Psychotherapy, Charité-Universitätsmedizin, Berlin, Germany
| | - Judith A Badner
- Department of Psychiatry, Rush University Medical Center, Chicago, IL, USA
| | - 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
| | - Jack D Barchas
- Department of Psychiatry, Weill Cornell Medical College, New York, NY, USA
| | - 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
| | - Richard Belliveau
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
| | - Sarah E Bergen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Carsten Bøcker Pedersen
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- National Centre for Register-based Research and Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark
| | - Erlend Bøen
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Marco P Boks
- Psychiatry, UMC Utrecht Brain Center Rudolf Magnus, Utrecht, the Netherlands
| | - James Boocock
- Human Genetics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Monika Budde
- Institute of Psychiatric Phenomics and Genomics, University Hospital, LMU Munich, Munich, Germany
| | - William Bunney
- Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA, USA
| | - Margit Burmeister
- Molecular & Behavioral Neuroscience Institute and Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - 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
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, USA
| | - 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, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Felecia Cerrato
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
| | - Pablo Cervantes
- Department of Psychiatry, Mood Disorders Program, McGill University Health Center, Montreal, Quebec, Canada
| | - Kimberly Chambert
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
| | - Alexander W Charney
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Danfeng Chen
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
| | - Claire Churchhouse
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Toni-Kim Clarke
- Division of Psychiatry, University of Edinburgh, Edinburgh, Scotland
| | - William Coryell
- University of Iowa Hospitals and Clinics, Iowa City, IA, USA
| | | | - Cristiana Cruceanu
- Department of Psychiatry, Mood Disorders Program, McGill University Health Center, Montreal, Quebec, Canada
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - 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
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
- Department of Radiology, University of California, San Diego, La Jolla, CA, USA
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
- Department of Cognitive Science, University of California, San Diego, La Jolla, CA, USA
| | - Simone de Jong
- MRC Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
- NIHR BRC for Mental Health, King's College London, London, UK
| | - Franziska Degenhardt
- Institute of Human Genetics, University of Bonn School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Jurgen Del-Favero
- Applied Molecular Genomics Unit, VIB Department of Molecular Genetics, University of Antwerp, Antwerp, Belgium
| | - J Raymond DePaulo
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Srdjan Djurovic
- Department of Medical Genetics, Oslo University Hospital Ullevål, Oslo, Norway
- NORMENT, KG Jebsen Centre for Psychosis Research, 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
| | - Ashley Dumont
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
| | - Torbjørn Elvsåshagen
- 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, England
| | - Chun Chieh Fan
- Department of Cognitive Science, University of California, San Diego, La Jolla, CA, USA
| | - Sascha B Fischer
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Matthew Flickinger
- Center for Statistical Genetics and Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - Tatiana M Foroud
- Department of Medical & 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, England
| | - Josef Frank
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Christine Fraser
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, England
| | - Nelson B Freimer
- Center for Neurobehavioral Genetics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Louise Frisén
- Department of Molecular Medicine and Surgery, Karolinska Institutet and Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
- Department of Clinical Neuroscience, Karolinska Institutet and Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
- Child and Adolescent Psychiatry Research Center, Stockholm, Sweden
| | - Katrin Gade
- Institute of Psychiatric Phenomics and Genomics, University Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
| | - Diane Gage
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
| | - Julie Garnham
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Claudia Giambartolomei
- Department of Pathology and Laboratory Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Marianne Giørtz Pedersen
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- National Centre for Register-based Research and Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark
| | - Jaqueline Goldstein
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
| | - Scott D Gordon
- Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | | | - Elaine K Green
- School of Biomedical Sciences, Plymouth University Peninsula Schools of Medicine and Dentistry, University of Plymouth, Plymouth, UK
| | - Melissa J Green
- School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
- Neuroscience Research Australia, Sydney, New South Wales, 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
| | - Weihua Guan
- Biostatistics, University of Minnesota System, Minneapolis, MN, USA
| | - José Guzman-Parra
- Mental Health Department, University Regional Hospital, Biomedicine Institute (IBIMA), Málaga, Spain
| | - Marian L Hamshere
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, England
| | - Martin Hautzinger
- Department of Psychology, Eberhard Karls Universität Tübingen, Tubingen, Germany
| | - Urs Heilbronner
- Institute of Psychiatric Phenomics and Genomics, University Hospital, LMU Munich, Munich, Germany
| | - Stefan Herms
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Human Genetics, University of Bonn School of Medicine & University Hospital Bonn, Bonn, Germany
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Maria Hipolito
- Department of Psychiatry and Behavioral Sciences, Howard University Hospital, Washington, DC, USA
| | - Per Hoffmann
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Human Genetics, University of Bonn School of Medicine & University Hospital Bonn, Bonn, Germany
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Dominic Holland
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
- Center for Multimodal Imaging and Genetics, University of California, San Diego, La Jolla, CA, USA
| | - 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
- Psychiatrie Translationnelle, Inserm U955, Créteil, France
- Faculté de Médecine, 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
| | - Anders Juréus
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Radhika Kandaswamy
- MRC Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
| | - Robert Karlsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - James L Kennedy
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Onatario, 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
| | - 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
| | | | - Anna C Koller
- Institute of Human Genetics, University of Bonn School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Ralph Kupka
- Psychiatry, Altrecht, Utrecht, the Netherlands
- Psychiatry, GGZ inGeest, Amsterdam, the Netherlands
- Psychiatry, VU Medisch Centrum, Amsterdam, the Netherlands
| | - Catharina Lavebratt
- Department of Molecular Medicine and Surgery, Karolinska Institutet and Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Jacob Lawrence
- Department of, rth East London NHS Foundation Trust, Ilford, UK
| | - William B Lawson
- Department of Psychiatry and Behavioral Sciences, Howard University Hospital, Washington, DC, USA
| | - Markus Leber
- Department of Neurodegenerative Diseases and Geropsychiatry, University Hospital Bonn, Bonn, Germany
| | - Phil H Lee
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Shawn E Levy
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - Jun Z Li
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Chunyu Liu
- Department of Psychiatry, University of Illinois at Chicago College of Medicine, Chicago, IL, USA
| | | | - Anna Maaser
- Institute of Human Genetics, University of Bonn School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Donald J MacIntyre
- Mental Health, NHS 24, Glasgow, UK
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Pamela B Mahon
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Psychiatry, Brigham and Women's Hospital, Boston, MA, USA
| | - Wolfgang Maier
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - Lina Martinsson
- Department of Clinical Neuroscience, Karolinska Institutet and Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Steve McCarroll
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Peter McGuffin
- MRC Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
| | - Melvin G McInnis
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - 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
| | - Fan Meng
- Molecular & Behavioral Neuroscience Institute, University of Michigan, Ann Arbor, MI, USA
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Lili Milani
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Grant W Montgomery
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
| | - Derek W Morris
- Discipline of Biochemistry, Neuroimaging and Cognitive Genomics (NICOG) Centre, National University of Ireland, Galway, Galway, Ireland
- Neuropsychiatric Genetics Research Group, Department of Psychiatry and Trinity Translational Medicine Institute, Trinity College Dublin, Dublin, Ireland
| | - Thomas W Mühleisen
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
| | - Niamh Mullins
- MRC Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
| | - Hoang Nguyen
- 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
| | - 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
| | | | - Evaristus A Nwulia
- Department of Psychiatry and Behavioral Sciences, Howard University Hospital, Washington, DC, USA
| | - Claire O'Donovan
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Loes M Olde Loohuis
- Center for Neurobehavioral Genetics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Anil P S Ori
- Center for Neurobehavioral Genetics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Lilijana Oruc
- Department of Clinical Psychiatry, Psychiatry Clinic, Clinical Center University of Sarajevo, Sarajevo, Bosnia and Herzegovina
| | - Urban Ösby
- Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet and Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Roy H Perlis
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Division of Clinical Research, Massachusetts General Hospital, Boston, MA, USA
| | - Amy Perry
- Department of Psychological Medicine, University of Worcester, Worcester, UK
| | - Andrea Pfennig
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - James B Potash
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Shaun M Purcell
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, Brigham and Women's Hospital, Boston, MA, USA
| | - Eline J Regeer
- Outpatient Clinic for Bipolar Disorder, Altrecht, Utrecht, the Netherlands
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Céline S Reinbold
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - 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
- MRC Social, Genetic and Developmental Psychiatry Centre, 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
| | - 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
| | - Euijung Ryu
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, 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, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Alan F Schatzberg
- Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | | | | | - Cynthia Shannon Weickert
- School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
- Neuroscience Research Australia, Sydney, New South Wales, Australia
| | - Tatyana Shehktman
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Paul D Shilling
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Engilbert Sigurdsson
- Faculty of Medicine, Department of Psychiatry, School of Health Sciences, University of Iceland, Reykjavik, Iceland
| | - 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
| | - 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
| | | | - David St Clair
- Institute for Medical Sciences, University of Aberdeen, Aberdeen, UK
| | - Michael Steffens
- Research Division, Federal Institute for Drugs and Medical Devices (BfArM), Bonn, Germany
| | - John S Strauss
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- Centre for Addiction and Mental Health, Toronto, Onatario, Canada
| | - 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
| | | | - Robert C Thompson
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | | | - Jens Treutlein
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Helmut Vedder
- Department of Psychiatry, Psychiatrisches Zentrum Nordbaden, Wiesloch, Germany
| | - Weiqing Wang
- 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
| | - Stanley J Watson
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Thomas W Weickert
- School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
- Neuroscience Research Australia, Sydney, New South Wales, Australia
| | - 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
- Department of Biostatistics, Princess Margaret Cancer Centre, Toronto, Onatario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Allan H Young
- Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Peter Zandi
- Department of Mental Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Peng Zhang
- Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Sebastian Zöllner
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Rolf Adolfsson
- Department of Clinical Sciences, Psychiatry, Umeå University Medical Faculty, Umeå, Sweden
| | - Ingrid Agartz
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
- 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
| | - Lena Backlund
- Department of Clinical Neuroscience, Karolinska Institutet and Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Bernhard T Baune
- Department of Psychiatry, University of Melbourne, Melbourne, Victoria, Australia
- Department of Psychiatry, University of Munster, Munster, Germany
| | - Frank Bellivier
- Department of Psychiatry and Addiction Medicine, Assistance Publique-Hopitaux de Paris, Paris, France
- Paris Bipolar and TRD Expert Centres, FondaMental Foundation, Paris, France
- UMR-S1144 Team 1: Biomarkers of relapse and therapeutic response in addiction and mood disorders, INSERM, Paris, France
- Department of Psychiatry, Université Paris Diderot, Paris, France
| | - Wade H Berrettini
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | | | | | - Michael Boehnke
- Center for Statistical Genetics and Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - Anders D Børglum
- 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
| | - 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, England
| | - Mark J Daly
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Udo Dannlowski
- Department of Psychiatry, University of Munster, Munster, Germany
| | - Tõnu Esko
- Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Estonian Genome Center, University of Tartu, Tartu, Estonia
- Division of Endocrinology, Children's Hospital Boston, Boston, MA, USA
| | - Bruno Etain
- Department of Psychiatry and Addiction Medicine, Assistance Publique-Hopitaux de Paris, Paris, France
- UMR-S1144 Team 1: Biomarkers of relapse and therapeutic response in addiction and mood disorders, INSERM, Paris, France
- Department of Psychiatry, Université Paris Diderot, Paris, France
- Centre for Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - Mark Frye
- Department of Psychiatry & 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
| | - 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
| | - Michael Gill
- Neuropsychiatric Genetics Research Group, Department of Psychiatry and Trinity Translational Medicine Institute, Trinity College Dublin, Dublin, Ireland
| | - Fernando Goes
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - 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
| | - 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
| | - Ian Jones
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, England
| | - Lisa A Jones
- Department of 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, UMC Utrecht Brain Center Rudolf Magnus, Utrecht, the Netherlands
| | - George Kirov
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, England
| | - Mikael Landén
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
| | - Marion Leboyer
- Faculté de Médecine, Université Paris Est, Créteil, France
- Department of Psychiatry and Addiction Medicine, Assistance Publique-Hopitaux de Paris, Paris, France
- INSERM, Paris, France
| | - Cathryn M Lewis
- MRC Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
- NIHR BRC for Mental Health, King's College London, London, UK
- Department of Medical & 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 Cancer Center and Institute of Oncology, Warsaw, Poland
| | - 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
| | - Fermin Mayoral
- Mental Health Department, University Regional Hospital, Biomedicine Institute (IBIMA), Málaga, Spain
| | | | - Andrew M McIntosh
- Division of Psychiatry, University of Edinburgh, Edinburgh, Scotland
- 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 and Institute of Clinical Medicine, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Andres Metspalu
- Estonian Genome Center, University of Tartu, Tartu, Estonia
- Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
| | - Philip B Mitchell
- School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
| | - Gunnar Morken
- Mental Health, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology-NTNU, Trondheim, Norway
- Department of 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, 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 and Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark
| | - 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
- Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, 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 & 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, England
| | - Ketil J Oedegaard
- Division of Psychiatry, Haukeland Universitetssjukehus, Bergen, Norway
- Faculty of Medicine and Dentistry, University of Bergen, Bergen, Norway
| | - Michael J Owen
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, England
| | - 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
- College of Medicine 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
| | - 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, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - 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, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Guy A Rouleau
- Department of Neurology and Neurosurgery, McGill University, Faculty of Medicine, Montreal, Quebec, Canada
- Montreal Neurological Institute and Hospital, Montreal, Quebec, Canada
| | - Martin Schalling
- Department of Molecular Medicine and Surgery, Karolinska Institutet and 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, University Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- 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
- Human Genetics Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, MD, USA
| | - Alessandro Serretti
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | - 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, Massachusetts General Hospital, Boston, MA, USA
| | | | - Kari Stefansson
- deCODE Genetics/Amgen, Reykjavik, Iceland
- Faculty of Medicine, Department of Psychiatry, School of Health Sciences, University of Iceland, Reykjavik, Iceland
| | - Eystein Stordal
- Department of Psychiatry, Hospital Namsos, Namsos, Norway
- Department of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway
| | - 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
- Centre for Addiction and Mental Health, Toronto, Onatario, Canada
| | - Thomas Werge
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Institute of Biological Psychiatry, MHC Sct. Hans, Mental Health Services Copenhagen, Roskilde, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - John I Nurnberger
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Naomi R Wray
- Queensland Brain Institute, The University of Queensland, Brisbane, Queensland, Australia
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
| | - Arianna Di Florio
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, England
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Howard J Edenberg
- Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Sven Cichon
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Human Genetics, University of Bonn School of Medicine & 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
| | - Roel A Ophoff
- Psychiatry, UMC Utrecht Brain Center Rudolf Magnus, Utrecht, the Netherlands
- Human Genetics, University of California, Los Angeles, Los Angeles, CA, USA
- Center for Neurobehavioral Genetics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Laura J Scott
- Center for Statistical Genetics and Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - Ole A Andreassen
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT, University of Oslo, Oslo, Norway
| | - John Kelsoe
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA.
| | - Pamela Sklar
- 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
- Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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96
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Vornholt E, Luo D, Qiu W, McMichael GO, Liu Y, Gillespie N, Ma C, Vladimirov VI. Postmortem brain tissue as an underutilized resource to study the molecular pathology of neuropsychiatric disorders across different ethnic populations. Neurosci Biobehav Rev 2019; 102:195-207. [PMID: 31028758 DOI: 10.1016/j.neubiorev.2019.04.015] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2019] [Revised: 03/27/2019] [Accepted: 04/23/2019] [Indexed: 12/14/2022]
Abstract
In recent years, large scale meta-analysis of genome-wide association studies (GWAS) have reliably identified genetic polymorphisms associated with neuropsychiatric disorders such as schizophrenia (SCZ), bipolar disorder (BPD) and major depressive disorder (MDD). However, the majority of disease-associated single nucleotide polymorphisms (SNPs) appear within functionally ambiguous non-coding genomic regions. Recently, increased emphasis has been placed on identifying the functional relevance of disease-associated variants via correlating risk polymorphisms with gene expression levels in etiologically relevant tissues. For neuropsychiatric disorders, the etiologically relevant tissue is brain, which requires robust postmortem sample sizes from varying genetic backgrounds. While small sample sizes are of decreasing concern, postmortem brain databases are composed almost exclusively of Caucasian samples, which significantly limits study design and result interpretation. In this review, we highlight the importance of gene expression and expression quantitative loci (eQTL) studies in clinically relevant postmortem tissue while addressing the current limitations of existing postmortem brain databases. Finally, we introduce future collaborations to develop postmortem brain databases for neuropsychiatric disorders from Chinese and Asian subpopulations.
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Affiliation(s)
- Eric Vornholt
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, 800 E. Leigh St., Biotech One, Suite 100, Richmond, VA 23219, USA.
| | - Dan Luo
- National Key Laboratory of Medical Molecular Biology & Department of Immunology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing, 100005, China
| | - Wenying Qiu
- Institute of Basic Medical Sciences, Department of Human Anatomy, Histology and Embryology, Neuroscience Center, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, 100005, China
| | - Gowon O McMichael
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, 800 E. Leigh St., Biotech One, Suite 100, Richmond, VA 23219, USA
| | - Yangyang Liu
- School of Education, Tianjin University, 92 Weijin Road, Tianjin, 300072, China
| | - Nathan Gillespie
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, 800 E. Leigh St., Biotech One, Suite 100, Richmond, VA 23219, USA; Department Psychiatry, Virginia Commonwealth University, 1200 East Broad Street, Richmond, VA 23298, USA
| | - Chao Ma
- Institute of Basic Medical Sciences, Department of Human Anatomy, Histology and Embryology, Neuroscience Center, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, 100005, China; Joint Laboratory of Anesthesia and Pain, Peking Union Medical College. Beijing, 100730, China.
| | - Vladimir I Vladimirov
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, 800 E. Leigh St., Biotech One, Suite 100, Richmond, VA 23219, USA; Department Psychiatry, Virginia Commonwealth University, 1200 East Broad Street, Richmond, VA 23298, USA; Center for Biomarker Research, Virginia Commonwealth University, Richmond, 410 North 12th Street, Richmond, VA 23298, USA; Department of Physiology & Biophysics, Virginia Commonwealth University, 1101 East Marshall Street, Richmond, VA 23298, USA; Lieber Institute for Brain Development, Johns Hopkins University, 855 North Wolfe Street, Suite 300, 3rd Floor, Baltimore, MD 21205, USA.
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97
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Sodium valproate rescues expression of TRANK1 in iPSC-derived neural cells that carry a genetic variant associated with serious mental illness. Mol Psychiatry 2019; 24:613-624. [PMID: 30135510 PMCID: PMC6894932 DOI: 10.1038/s41380-018-0207-1] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2018] [Revised: 05/19/2018] [Accepted: 06/08/2018] [Indexed: 01/07/2023]
Abstract
Biological characterization of genetic variants identified in genome-wide association studies (GWAS) remains a substantial challenge. Here we used human-induced pluripotent stem cells (iPSC) and their neural derivatives to characterize common variants on chromosome 3p22 that have been associated by GWAS with major mental illnesses. IPSC-derived neural progenitor cells carrying the risk allele of the single nucleotide polymorphism (SNP), rs9834970, displayed lower baseline TRANK1 expression that was rescued by chronic treatment with therapeutic dosages of valproic acid (VPA). VPA had the greatest effects on TRANK1 expression in iPSC, NPC, and astrocytes. Although rs9834970 has no known function, we demonstrated that a nearby SNP, rs906482, strongly affects binding by the transcription factor, CTCF, and that the high-affinity allele usually occurs on haplotypes carrying the rs9834970 risk allele. Decreased expression of TRANK1 perturbed expression of many genes involved in neural development and differentiation. These findings have important implications for the pathophysiology of major mental illnesses and the development of novel therapeutics.
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98
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Najafi A, Janghorbani S, Motahari SA, Fatemizadeh E. Statistical Association Mapping of Population-Structured Genetic Data. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2019; 16:638-649. [PMID: 29990264 DOI: 10.1109/tcbb.2017.2786239] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Association mapping of genetic diseases has attracted extensive research interest during the recent years. However, most of the methodologies introduced so far suffer from spurious inference of the associated sites due to population inhomogeneities. In this paper, we introduce a statistical framework to compensate for this shortcoming by equipping the current methodologies with a state-of-the-art clustering algorithm being widely used in population genetics applications. The proposed framework jointly infers the disease-associated factors and the hidden population structures. In this regard, a Markov Chain-Monte Carlo (MCMC) procedure has been employed to assess the posterior probability distribution of the model parameters. We have implemented our proposed framework on a software package whose performance is extensively evaluated on a number of synthetic datasets, and compared to some of the well-known existing methods such as STRUCTURE. It has been shown that in extreme scenarios, up to $10-15$10-15 percent of improvement in the inference accuracy is achieved with a moderate increase in computational complexity.
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99
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Nöthen MM, Degenhardt F, Forstner AJ. [Breakthrough in understanding the molecular causes of psychiatric disorders]. DER NERVENARZT 2019; 90:99-106. [PMID: 30758637 DOI: 10.1007/s00115-018-0670-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
A long-established hypothesis is that genetic factors contribute to the development of psychiatric diseases, including common illnesses such as schizophrenia and the affective disorders; however, reliable molecular identification of these factors represents a far more recent innovation. This has been rendered possible by technological advances in the individual characterization of the human genome and the combining of large genetic datasets at the international level. For the first time, the results of genome-wide analyses provide researchers with systematic insights into disease-relevant biological mechanisms. Here, the integrated analysis of different omics level data generates important insights into the functional interpretation of the genetic findings. The results of genetic studies also demonstrated the degree of etiological overlap between differing psychiatric disorders, with the greatest commonality having been observed to date between schizophrenia and bipolar affective disorder. Although the translation of genetic findings into routine clinical practice is being pursued at various levels, elaborate follow-up studies are typically necessary. The diagnostic investigation of rare genomic deletions/duplications (so-called copy number variants) in patients with schizophrenia is likely to represent one of the first examples of routine clinical application. The necessary prerequisites for this are currently being defined.
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Affiliation(s)
- Markus M Nöthen
- Institut für Humangenetik, Universitätsklinikum Bonn, Sigmund-Freud-Str. 25, 53127, Bonn, Deutschland.
| | - Franziska Degenhardt
- Institut für Humangenetik, Universitätsklinikum Bonn, Sigmund-Freud-Str. 25, 53127, Bonn, Deutschland
| | - Andreas J Forstner
- Institut für Humangenetik, Universitätsklinikum Bonn, Sigmund-Freud-Str. 25, 53127, Bonn, Deutschland.,Zentrum für Humangenetik, Philipps-Universität Marburg, Baldingerstraße, 35033, Marburg, Deutschland
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100
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Snijders G, Brouwer R, Kemner S, Bootsman F, Drexhage HA, Hillegers MHJ. Genetic and environmental influences on circulating NK and T cells and their relation to bipolar disorder. Int J Bipolar Disord 2019; 7:4. [PMID: 30739250 PMCID: PMC6368934 DOI: 10.1186/s40345-018-0139-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2018] [Accepted: 11/14/2018] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND In previous studies we found mild deficiencies of circulating T cells in patients with bipolar disorder (BD) and children at risk for BD, correlating to a higher inflammatory state. The genetic and environmental influences on these T cell deficiencies in association with BD development are unknown. OBJECTIVES The aim is to quantify genetic and environmental factors that contribute to the association between the liability to develop BD and T cell deficiencies. METHODS Participants of a Dutch bipolar twin study (11 monozygotic BD twin pairs, 15 dizygotic BD twin pairs, 15 monozygotic and 12 dizygotic healthy twin pairs) were included. A detailed FACS analysis of frozen stored leukocytes was carried out to determine the percentages of T cells and various other leukocyte and lymphocyte subsets. A bivariate liability threshold twin model was used to determine genetic and environmental (common and unique) influences on the correlation between BD and the various subsets. RESULTS Lower percentages of T cells and higher percentages of NK cells were associated with the familial liability to develop BD. Neither genetic nor shared or unique environmental factors could explain the associations. Lithium usage explained part of the association for T cells, smoking in part that for NK cells. CONCLUSIONS Our results confirm that BD is the result of a complex interaction between various genetic and environmental risk factors, in which T and NK cells act as important intermediate immune players.
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Affiliation(s)
- G Snijders
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Heidelberglaan 100, P.O. Box 85500, 3508 GA, Utrecht, The Netherlands.
| | - R Brouwer
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Heidelberglaan 100, P.O. Box 85500, 3508 GA, Utrecht, The Netherlands
| | - S Kemner
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Heidelberglaan 100, P.O. Box 85500, 3508 GA, Utrecht, The Netherlands
| | - F Bootsman
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Heidelberglaan 100, P.O. Box 85500, 3508 GA, Utrecht, The Netherlands
| | - H A Drexhage
- Department of Immunology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - M H J Hillegers
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Heidelberglaan 100, P.O. Box 85500, 3508 GA, Utrecht, The Netherlands
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus Medical Center-Sophia Children's Hospital, Rotterdam, The Netherlands
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