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Saia F, Prato A, Saccuzzo L, Madia F, Barone R, Fichera M, Rizzo R. Copy Number Variations in Children with Tourette Syndrome: Systematic Investigation in a Clinical Setting. Genes (Basel) 2023; 14:500. [PMID: 36833427 PMCID: PMC9956985 DOI: 10.3390/genes14020500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 02/07/2023] [Accepted: 02/13/2023] [Indexed: 02/18/2023] Open
Abstract
Tourette syndrome (TS) is a neurodevelopmental disturbance with heterogeneous and not completely known etiology. Clinical and molecular appraisal of affected patients is mandatory for outcome amelioration. The current study aimed to understand the molecular bases underpinning TS in a vast cohort of pediatric patients with TS. Molecular analyses included array-CGH analyses. The primary goal was to define the neurobehavioral phenotype of patients with or without pathogenic copy number variations (CNVs). Moreover, we compared the CNVs with CNVs described in the literature in neuropsychiatric disorders, including TS, to describe an effective clinical and molecular characterization of patients for prognostic purposes and for correctly taking charge. Moreover, this study showed that rare deletions and duplications focusing attention on significant genes for neurodevelopment had a statistically higher occurrence in children with tics and additional comorbidities. In our cohort, we determined an incidence of potentially causative CNVs of about 12%, in line with other literature studies. Clearly, further studies are needed to delineate the genetic background of patients with tic disorders in a superior way to elucidate the complex genetic architecture of these disorders, to describe the outcome, and to identify new possible therapeutic targets.
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Affiliation(s)
- Federica Saia
- Child and Adolescent Neurology and Psychiatric Section, Department of Clinical and Experimental Medicine, Catania University, 95124 Catania, Italy
| | - Adriana Prato
- Child and Adolescent Neurology and Psychiatric Section, Department of Clinical and Experimental Medicine, Catania University, 95124 Catania, Italy
- Department of Cognitive Sciences, Psychology, Education and Cultural Studies, University of Messina, 98121 Messina, Italy
| | - Lucia Saccuzzo
- Department of Biomedical and Biotechnological Sciences, Medical Genetics, University of Catania, 95124 Catania, Italy
| | - Francesca Madia
- Laboratory of Neurogenetics and Neuroscience, IRCCS Istituto Giannina Gaslini, 16147 Genoa, Italy
| | - Rita Barone
- Child and Adolescent Neurology and Psychiatric Section, Department of Clinical and Experimental Medicine, Catania University, 95124 Catania, Italy
| | - Marco Fichera
- Department of Biomedical and Biotechnological Sciences, Medical Genetics, University of Catania, 95124 Catania, Italy
- Research Unit of Rare Diseases and Neurodevelopmental Disorders, Oasi Research Institute-IRCCS, 94018 Troina, Italy
| | - Renata Rizzo
- Child and Adolescent Neurology and Psychiatric Section, Department of Clinical and Experimental Medicine, Catania University, 95124 Catania, Italy
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2
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Derks EM, Thorp JG, Gerring ZF. Ten challenges for clinical translation in psychiatric genetics. Nat Genet 2022; 54:1457-1465. [PMID: 36138228 DOI: 10.1038/s41588-022-01174-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 07/27/2022] [Indexed: 11/09/2022]
Abstract
Genome-wide association studies have identified hundreds of robust genetic associations underlying psychiatric disorders and provided important biological insights into disease onset and progression. There is optimism that genetic findings will pave the way to precision psychiatry by facilitating the development of more effective treatments and the identification of groups of patients that these treatments should be targeted toward. However, there are several challenges that must be addressed before genetic findings can be translated into the clinic. In this Perspective, we highlight ten challenges for the field of psychiatric genetics, focused on the robust and generalizable detection of genetic risk factors, improved definition and assessment of psychopathology and achieving better clinical indicators. We discuss recent advancements in the field that will improve the explanatory and predictive power of genetic data and ultimately contribute to improving the management and treatment of patients with a psychiatric disorder.
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Affiliation(s)
- Eske M Derks
- Translational Neurogenomics Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
| | - Jackson G Thorp
- Translational Neurogenomics Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.,Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia
| | - Zachary F Gerring
- Translational Neurogenomics Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
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3
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Variegation of autism related traits across seven neurogenetic disorders. Transl Psychiatry 2022; 12:149. [PMID: 35393403 PMCID: PMC8989950 DOI: 10.1038/s41398-022-01895-0] [Citation(s) in RCA: 3] [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: 09/28/2021] [Revised: 03/04/2022] [Accepted: 03/11/2022] [Indexed: 11/08/2022] Open
Abstract
Gene dosage disorders (GDDs) constitute a major class of genetic risks for psychopathology, but there is considerable debate regarding the extent to which different GDDs induce different psychopathology profiles. The current research speaks to this debate by compiling and analyzing dimensional measures of several autism-related traits (ARTs) across seven diverse GDDs. The sample included 350 individuals with one of 7 GDDs, as well as reference idiopathic autism spectrum disorder (ASD; n = 74) and typically developing control (TD; n = 171) groups. The GDDs were: Down, Williams-Beuren, and Smith-Magenis (DS, WS, SMS) syndromes, and varying sex chromosome aneuploidies ("plusX", "plusXX", "plusY", "plusXY"). The Social Responsiveness Scale (SRS-2) was used to measure ARTs at different levels of granularity-item, subscale, and total. General linear models were used to examine ART profiles in GDDs, and machine learning was used to predict genotype from SRS-2 subscales and items. These analyses were completed with and without covariation for cognitive impairment. Twelve of all possible 21 pairwise GDD group contrasts showed significantly different ART profiles (7/21 when co-varying for IQ, all Bonferroni-corrected). Prominent GDD-ART associations in post hoc analyses included relatively preserved social motivation in WS and relatively low levels of repetitive behaviors in plusX. Machine learning revealed that GDD group could be predicted with plausible accuracy (~60-80%) even after controlling for IQ. GDD effects on ARTs are influenced by GDD subtype and ART dimension. This observation has consequences for mechanistic, clinical, and translational aspects of psychiatric neurogenetics.
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4
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Roberts K. Copy number variants in the context of evolving psychogenomic understanding. BJPSYCH ADVANCES 2022. [DOI: 10.1192/bja.2022.13] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
SUMMARY
There are well-established links between recurring copy number variants (CNVs) (ubiquitous structural variations within chromosomes) and many psychiatric diagnoses. This article considers potential advances that enhanced understanding of CNVs might offer psychiatry – a scientifically rigorous footing for the discipline and personalised prescribing based on genetic data that would benefit patients from pre-diagnosis to treatment.
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5
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Francisco RD, Fernando V, Norma E, Madai ME, Marcelo B. Glial changes in schizophrenia: Genetic and epigenetic approach. Indian J Psychiatry 2022; 64:3-12. [PMID: 35400734 PMCID: PMC8992743 DOI: 10.4103/indianjpsychiatry.indianjpsychiatry_104_21] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Revised: 10/24/2021] [Accepted: 12/23/2021] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Schizophrenia (SCZ) is a severe mental illness that affects one percent of the population, affecting how people think, feel, and behave. Evidence suggests glial cell alteration and some researchers have found genetic risk loci and epigenetic marks that may regulate glia-related genes implicated in SCZ. AIM The aim of this study is to identify genetic and epigenetic changes that have been reported in glial cells or glial-associated genes in SCZ. MATERIALS AND METHODS We searched the articles from PubMed, PubMed Central, Medline, Medscape, and Embase databases up to December 2020 to identify relevant peer-reviewed articles in English. The titles and abstracts were screened to eliminate irrelevant citations. RESULTS Twenty-four original articles were included in the review. Studies were categorized into the following four thematic via: (1) oligodendrocytes, (2) microglia, (3) astrocytes, and (4) perspectives. CONCLUSION This study is the first of its kind to review research on genetic variants and epigenetic modifications associated with glia-related genes implicated in SCZ. Epigenetic evidence is considerably less than genetic evidence in this field. Understanding the pathways of some risk genes and their genetic and epigenetic regulation allows us to understand and find potential targets for future interventions in this mental illness.
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Affiliation(s)
- Ramos Daniel Francisco
- Faculty of Chemical Sciences, Juarez University of the State of Durango, Durango, Mexico
| | - Vazquez Fernando
- Faculty of Chemical Sciences, Juarez University of the State of Durango, Durango, Mexico.,Research Unit, General Hospital 450, Durango, Mexico
| | - Estrada Norma
- Faculty of Chemical Sciences, Juarez University of the State of Durango, Durango, Mexico
| | - Méndez Edna Madai
- Scientific Research Institute, Juarez University of the State of Durango, Durango, Mexico
| | - Barraza Marcelo
- Faculty of Chemical Sciences, Juarez University of the State of Durango, Durango, Mexico
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Abstract
Tourette syndrome (TS) is a severe neuropsychiatric disorder characterized by recurrent, involuntary physical and verbal tics. With a prevalence as high as 1% in children, a deeper understanding of the etiology of the disorder and contributions to risk is critical. Here, we cover the current body of knowledge in scientific literature regarding the genetics of TS. We first review the history and diagnostic criteria for TS cases. We then cover the prevalence, and begin to address the etiology of the disorder. We highlight long-standing evidence for a genetic contribution to TS risk from epidemiology studies focused on twins, families, and population-scale data. Finally, we summarize current large-scale genetic studies of TS along specific classes of genetic variation, including common variation, rare copy number variation, and de novo variation that impact protein-coding sequence. Although these variants do not account for the entirety of TS genetic risk, current evidence is clear that each class of variation is a factor in the overall risk architecture across TS cases.
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Affiliation(s)
- Laura Domènech
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Boston, MA, USA
| | - Carolina Cappi
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, School of Medicine, University of São Paulo, São Paulo, Brazil
| | - Matt Halvorsen
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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Saraiva LC, Cappi C, Simpson HB, Stein DJ, Viswanath B, van den Heuvel OA, Reddy YCJ, Miguel EC, Shavitt RG. Cutting-edge genetics in obsessive-compulsive disorder. Fac Rev 2020; 9:30. [PMID: 33659962 PMCID: PMC7886082 DOI: 10.12703/r/9-30] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
This article reviews recent advances in the genetics of obsessive-compulsive disorder (OCD). We cover work on the following: genome-wide association studies, whole-exome sequencing studies, copy number variation studies, gene expression, polygenic risk scores, gene–environment interaction, experimental animal systems, human cell models, imaging genetics, pharmacogenetics, and studies of endophenotypes. Findings from this work underscore the notion that the genetic architecture of OCD is highly complex and shared with other neuropsychiatric disorders. Also, the latest evidence points to the participation of gene networks involved in synaptic transmission, neurodevelopment, and the immune and inflammatory systems in this disorder. We conclude by highlighting that further study of the genetic architecture of OCD, a great part of which remains to be elucidated, could benefit the development of diagnostic and therapeutic approaches based on the biological basis of the disorder. Studies to date revealed that OCD is not a simple homogeneous entity, but rather that the underlying biological pathways are variable and heterogenous. We can expect that translation from bench to bedside, through continuous effort and collaborative work, will ultimately transform our understanding of what causes OCD and thus how best to treat it.
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Affiliation(s)
- Leonardo Cardoso Saraiva
- Department & Institute of Psychiatry, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Carolina Cappi
- Department & Institute of Psychiatry, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Helen Blair Simpson
- Columbia University Irving Medical Center, Columbia University, New York, NY, 10032, USA
- The New York State Psychiatric Institute, New York, NY, 10032, USA
| | - Dan J Stein
- SA MRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry & Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Biju Viswanath
- Molecular Genetics Laboratory, National Institute of Mental Health & Neurosciences (NIMHANS); Accelerator Program for Discovery in Brain disorders using Stem cells (ADBS) Laboratory, NIMHANS, Bangalore, India
| | - Odile A van den Heuvel
- Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Department of Psychiatry, Department of Anatomy & Neuroscience, Amsterdam Neuroscience, Amsterdam, Netherlands
| | - YC Janardhan Reddy
- Obsessive-Compulsive Disorder (OCD) Clinic, Department of Psychiatry, NIMHANS, Bangalore, India
| | - Euripedes C Miguel
- Department & Institute of Psychiatry, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Roseli G Shavitt
- Department & Institute of Psychiatry, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
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8
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Misganaw B, Guffanti G, Lori A, Abu-Amara D, Flory JD, Mueller S, Yehuda R, Jett M, Marmar CR, Ressler KJ, Doyle FJ. Polygenic risk associated with post-traumatic stress disorder onset and severity. Transl Psychiatry 2019; 9:165. [PMID: 31175274 PMCID: PMC6555815 DOI: 10.1038/s41398-019-0497-3] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2019] [Accepted: 05/07/2019] [Indexed: 01/14/2023] Open
Abstract
Post-traumatic stress disorder (PTSD) is a psychiatric illness with a highly polygenic architecture without large effect-size common single-nucleotide polymorphisms (SNPs). Thus, to capture a substantial portion of the genetic contribution, effects from many variants need to be aggregated. We investigated various aspects of one such approach that has been successfully applied to many traits, polygenic risk score (PRS) for PTSD. Theoretical analyses indicate the potential prediction ability of PRS. We used the latest summary statistics from the largest published genome-wide association study (GWAS) conducted by Psychiatric Genomics Consortium for PTSD (PGC-PTSD). We found that the PRS constructed for a cohort comprising veterans of recent wars (n = 244) explains a considerable proportion of PTSD onset (Nagelkerke R2 = 4.68%, P = 0.003) and severity (R2 = 4.35%, P = 0.0008) variances. However, the performance on an African ancestry sub-cohort was minimal. A PRS constructed with schizophrenia GWAS also explained a significant fraction of PTSD diagnosis variance (Nagelkerke R2 = 2.96%, P = 0.0175), confirming previously reported genetic correlation between the two psychiatric ailments. Overall, these findings demonstrate the important role polygenic analyses of PTSD will play in risk prediction models as well as in elucidating the biology of the disorder.
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Affiliation(s)
- Burook Misganaw
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
| | - Guia Guffanti
- Department of Psychiatry, Harvard Medical School and McLean Hospital, Belmont, MA, USA
| | - Adriana Lori
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Duna Abu-Amara
- Steven and Alexandra Cohen Veterans Center for the Study of Posttraumatic Stress and Traumatic Brain Injury; and Department of Psychiatry, NYU School of Medicine, New York, NY, USA
| | - Janine D Flory
- Department of Psychiatry, James J. Peters Veterans Affairs Medical Center, Bronx, NY, USA
- The Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Susanne Mueller
- Center for Imaging of Neurodegenerative Diseases, San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA
| | - Rachel Yehuda
- Department of Psychiatry, James J. Peters Veterans Affairs Medical Center, Bronx, NY, USA
- The Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Marti Jett
- Integrative Systems Biology, United States Army Medical Research and Material Command, United States Army Center for Environmental Health Research, Frederick, MD, USA
| | - Charles R Marmar
- Steven and Alexandra Cohen Veterans Center for the Study of Posttraumatic Stress and Traumatic Brain Injury; and Department of Psychiatry, NYU School of Medicine, New York, NY, USA
| | - Kerry J Ressler
- Department of Psychiatry, Harvard Medical School and McLean Hospital, Belmont, MA, USA
| | - Francis J Doyle
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.
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9
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Grochowski CM, Gu S, Yuan B, Tcw J, Brennand KJ, Sebat J, Malhotra D, McCarthy S, Rudolph U, Lindstrand A, Chong Z, Levy DL, Lupski JR, Carvalho CMB. Marker chromosome genomic structure and temporal origin implicate a chromoanasynthesis event in a family with pleiotropic psychiatric phenotypes. Hum Mutat 2018; 39:939-946. [PMID: 29696747 PMCID: PMC5995661 DOI: 10.1002/humu.23537] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2017] [Revised: 04/11/2018] [Accepted: 04/16/2018] [Indexed: 12/13/2022]
Abstract
Small supernumerary marker chromosomes (sSMC) are chromosomal fragments difficult to characterize genomically. Here, we detail a proband with schizoaffective disorder and a mother with bipolar disorder with psychotic features who present with a marker chromosome that segregates with disease. We explored the architecture of this marker and investigated its temporal origin. Array comparative genomic hybridization (aCGH) analysis revealed three duplications and three triplications that spanned the short arm of chromosome 9, suggestive of a chromoanasynthesis-like event. Segregation of marker genotypes, phased using sSMC mosaicism in the mother, provided evidence that it was generated during a germline-level event in the proband's maternal grandmother. Whole-genome sequencing (WGS) was performed to resolve the structure and junctions of the chromosomal fragments, revealing further complexities. While structural variations have been previously associated with neuropsychiatric disorders and marker chromosomes, here we detail the precise architecture, human life-cycle genesis, and propose a DNA replicative/repair mechanism underlying formation.
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Affiliation(s)
| | - Shen Gu
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas
| | - Bo Yuan
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas
| | - Julia Tcw
- Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Kristen J Brennand
- Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Jonathan Sebat
- Beyster Center for Psychiatric Genomics, Department of Psychiatry, University of California at San Diego, San Diego, California
| | | | - Shane McCarthy
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York
| | - Uwe Rudolph
- Laboratory of Genetic Neuropharmacology, McLean Hospital, Belmont, Massachusetts
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
| | - Anna Lindstrand
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Zechen Chong
- Department of Genetics and the Informatics Institute, The University of Alabama at Birmingham, Birmingham, Alabama
| | - Deborah L Levy
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
- Psychology Research Laboratory, McLean Hospital, Belmont, Massachusetts
| | - James R Lupski
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas
- Department of Pediatrics, Baylor College of Medicine, Houston, Texas
- Texas Children's Hospital, Houston, Texas
| | - Claudia M B Carvalho
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas
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10
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Zheng M, Ren Y. The genetic basis of pigmentation in alopecia areata. Exp Dermatol 2017; 26:542-543. [PMID: 27673728 DOI: 10.1111/exd.13217] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/20/2016] [Indexed: 12/12/2022]
Abstract
Alopecia areata (AA) is a common hair loss disorder characterized by discrete, well demarcated areas of non-scarring terminal hair alopecia, with the calculated lifetime risk of ~2%. In past decades, linkage and GWA studies have implicated dozens of susceptibility genes/loci that are linked to the development of AA. Fischer et al performed a genome-wide CNV analysis of 585 AA patients and 1,340 controls in a European population. This is the first genome-wide study of CNV to be performed in AA samples, and the association finding in the MCHR2 gene region further underscores the potential role of pigmentation in AA development.
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Affiliation(s)
- Min Zheng
- Department of Dermatology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Yunqing Ren
- Department of Dermatology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
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11
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Santoro ML, Moretti PN, Pellegrino R, Gadelha A, Abílio VC, Hayashi MAF, Belangero SI, Hakonarson H. A current snapshot of common genomic variants contribution in psychiatric disorders. Am J Med Genet B Neuropsychiatr Genet 2016; 171:997-1005. [PMID: 27486013 DOI: 10.1002/ajmg.b.32475] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2016] [Accepted: 07/06/2016] [Indexed: 12/22/2022]
Abstract
In the past decade, numerous advances were achieved in psychiatric genetics. Particularly, the genome wide association studies (GWAS) have contributed to uncovering new genes and pathways associated to psychiatric disorders (PDs). At the same time, with increasing sample sizes in the GWAS, the polygenic risk score (PRS) promoted an additional tool for identification and evaluation the genetic risk quantitatively in PDs. This concept review presents the state of the art GWAS analysis and PRS focusing on the genetic underpinnings of PDs. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Marcos L Santoro
- Interdisciplinary Laboratory of Clinical Neurosciences, Federal University of Sao Paulo (UNIFESP), Sao Paulo, SP, Brazil
- Department of Psychiatry, Federal University of Sao Paulo (UNIFESP), Sao Paulo, SP, Brazil
- Genetics Division, Federal University of Sao Paulo (UNIFESP), Sao Paulo, SP, Brazil
| | - Patricia N Moretti
- Interdisciplinary Laboratory of Clinical Neurosciences, Federal University of Sao Paulo (UNIFESP), Sao Paulo, SP, Brazil
- Department of Psychiatry, Federal University of Sao Paulo (UNIFESP), Sao Paulo, SP, Brazil
- Genetics Division, Federal University of Sao Paulo (UNIFESP), Sao Paulo, SP, Brazil
| | - Renata Pellegrino
- Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Ary Gadelha
- Interdisciplinary Laboratory of Clinical Neurosciences, Federal University of Sao Paulo (UNIFESP), Sao Paulo, SP, Brazil
- Department of Psychiatry, Federal University of Sao Paulo (UNIFESP), Sao Paulo, SP, Brazil
| | - Vanessa C Abílio
- Interdisciplinary Laboratory of Clinical Neurosciences, Federal University of Sao Paulo (UNIFESP), Sao Paulo, SP, Brazil
- Department of Psychiatry, Federal University of Sao Paulo (UNIFESP), Sao Paulo, SP, Brazil
- Department of Pharmacology, Federal University of Sao Paulo (UNIFESP), Sao Paulo, SP, Brazil
| | - Mirian A F Hayashi
- Interdisciplinary Laboratory of Clinical Neurosciences, Federal University of Sao Paulo (UNIFESP), Sao Paulo, SP, Brazil
- Department of Psychiatry, Federal University of Sao Paulo (UNIFESP), Sao Paulo, SP, Brazil
- Department of Pharmacology, Federal University of Sao Paulo (UNIFESP), Sao Paulo, SP, Brazil
| | - Sintia I Belangero
- Interdisciplinary Laboratory of Clinical Neurosciences, Federal University of Sao Paulo (UNIFESP), Sao Paulo, SP, Brazil
- Department of Psychiatry, Federal University of Sao Paulo (UNIFESP), Sao Paulo, SP, Brazil
- Genetics Division, Federal University of Sao Paulo (UNIFESP), Sao Paulo, SP, Brazil
| | - Hakon Hakonarson
- Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
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12
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Rosen AM, Spellman T, Gordon JA. Electrophysiological endophenotypes in rodent models of schizophrenia and psychosis. Biol Psychiatry 2015; 77:1041-9. [PMID: 25910423 PMCID: PMC4444383 DOI: 10.1016/j.biopsych.2015.03.021] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2014] [Revised: 03/03/2015] [Accepted: 03/23/2015] [Indexed: 02/06/2023]
Abstract
Schizophrenia is caused by a diverse array of risk factors and results in a similarly diverse set of symptoms. Electrophysiological endophenotypes lie between risks and symptoms and have the potential to link the two. Electrophysiological studies in rodent models, described here, demonstrate that widely differing risk factors result in a similar set of core electrophysiological endophenotypes, suggesting the possibility of a shared neurobiological substrate.
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Affiliation(s)
- Andrew M. Rosen
- Department of Psychiatry, College of Physicians and Surgeons Columbia University New York, NY 10032
| | - Timothy Spellman
- Department of Physiology, College of Physicians and Surgeons Columbia University New York, NY 10032
| | - Joshua A. Gordon
- Department of Psychiatry, College of Physicians and Surgeons Columbia University New York, NY 10032,Division of Integrative Neuroscience New York State Psychiatric Institute New York NY 10032,Correspondence to: Joshua A. Gordon 1051 Riverside Drive Unit 87 Kolb Annex Room 140 New York, NY 10032 Ph. 646 774-7116 Fax. 646 774-7101
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13
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Brenndörfer J, Altmann A, Widner-Andrä R, Pütz B, Czamara D, Tilch E, Kam-Thong T, Weber P, Rex-Haffner M, Bettecken T, Bultmann A, Müller-Myhsok B, Binder EE, Landgraf R, Czibere L. Connecting Anxiety and Genomic Copy Number Variation: A Genome-Wide Analysis in CD-1 Mice. PLoS One 2015; 10:e0128465. [PMID: 26011321 PMCID: PMC4444327 DOI: 10.1371/journal.pone.0128465] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2014] [Accepted: 04/27/2015] [Indexed: 12/05/2022] Open
Abstract
Genomic copy number variants (CNVs) have been implicated in multiple psychiatric disorders, but not much is known about their influence on anxiety disorders specifically. Using next-generation sequencing (NGS) and two additional array-based genotyping approaches, we detected CNVs in a mouse model consisting of two inbred mouse lines showing high (HAB) and low (LAB) anxiety-related behavior, respectively. An influence of CNVs on gene expression in the central (CeA) and basolateral (BLA) amygdala, paraventricular nucleus (PVN), and cingulate cortex (Cg) was shown by a two-proportion Z-test (p = 1.6 x 10-31), with a positive correlation in the CeA (p = 0.0062), PVN (p = 0.0046) and Cg (p = 0.0114), indicating a contribution of CNVs to the genetic predisposition to trait anxiety in the specific context of HAB/LAB mice. In order to confirm anxiety-relevant CNVs and corresponding genes in a second mouse model, we further examined CD-1 outbred mice. We revealed the distribution of CNVs by genotyping 64 CD 1 individuals using a high-density genotyping array (Jackson Laboratory). 78 genes within those CNVs were identified to show nominally significant association (48 genes), or a statistical trend in their association (30 genes) with the time animals spent on the open arms of the elevated plus-maze (EPM). Fifteen of them were considered promising candidate genes of anxiety-related behavior as we could show a significant overlap (permutation test, p = 0.0051) with genes within HAB/LAB CNVs. Thus, here we provide what is to our knowledge the first extensive catalogue of CNVs in CD-1 mice and potential corresponding candidate genes linked to anxiety-related behavior in mice.
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Affiliation(s)
- Julia Brenndörfer
- Department of Behavioral Neuroendocrinology, Max Planck Institute of Psychiatry, Munich, Germany
- * E-mail:
| | - André Altmann
- Department of Statistical Genetics, Max Planck Institute of Psychiatry, Munich, Germany
| | - Regina Widner-Andrä
- Department of Behavioral Neuroendocrinology, Max Planck Institute of Psychiatry, Munich, Germany
| | - Benno Pütz
- Department of Statistical Genetics, Max Planck Institute of Psychiatry, Munich, Germany
| | - Darina Czamara
- Department of Statistical Genetics, Max Planck Institute of Psychiatry, Munich, Germany
| | - Erik Tilch
- Institute of Human Genetics, Helmholtz Zentrum München, Munich, Germany
- Institute of Human Genetics, Technische Universität München, Munich, Germany
| | - Tony Kam-Thong
- Department of Statistical Genetics, Max Planck Institute of Psychiatry, Munich, Germany
| | - Peter Weber
- Department of Molecular Genetics of Affective Disorders, Max Planck Institute of Psychiatry, Munich, Germany
| | - Monika Rex-Haffner
- Department of Molecular Genetics of Affective Disorders, Max Planck Institute of Psychiatry, Munich, Germany
| | - Thomas Bettecken
- Department of Behavioral Neuroendocrinology, Max Planck Institute of Psychiatry, Munich, Germany
| | - Andrea Bultmann
- Department of Behavioral Neuroendocrinology, Max Planck Institute of Psychiatry, Munich, Germany
| | - Bertram Müller-Myhsok
- Department of Statistical Genetics, Max Planck Institute of Psychiatry, Munich, Germany
| | - Elisabeth E. Binder
- Department of Molecular Genetics of Affective Disorders, Max Planck Institute of Psychiatry, Munich, Germany
| | - Rainer Landgraf
- Department of Behavioral Neuroendocrinology, Max Planck Institute of Psychiatry, Munich, Germany
| | - Ludwig Czibere
- Department of Behavioral Neuroendocrinology, Max Planck Institute of Psychiatry, Munich, Germany
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15
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Wang GX, Zhang Y, Zhang YT, Dong YS, Lv ZW, Sun M, Wu D, Wu YM. Mitochondrial haplogroups and hypervariable region polymorphisms in schizophrenia: a case-control study. Psychiatry Res 2013; 209:279-83. [PMID: 23374981 DOI: 10.1016/j.psychres.2013.01.001] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2012] [Revised: 01/02/2013] [Accepted: 01/06/2013] [Indexed: 12/25/2022]
Abstract
Previous studies have detected associations between mitochondrial haplogroups and schizophrenia (SZ). However, no study has examined the relationship between major mitochondrial DNA (mtDNA) haplogroups and SZ in the Chinese population. The aim of this study was to assess the association between mtDNA haplogroups and SZ genesis in the Chinese Han population. We used a case-control study and sequenced the mtDNA hypervariable regions (HVR1, HVR2, and HVR3) in the Han population. We analyzed mtDNA haplogroups and HVR polymorphisms in 298 SZ patients and 298 controls. The haplotypes were classified into 10 major haplogroups: A, B, CZ, D, F, G, M, N, N9a, and R. Statistical analysis revealed that only N9a showed a nominally significant association with protection from SZ [1.68% vs. 6.38%, p=0.004, OR=0.251 (0.092-0.680); after adjustment for age and sex: p=0.006, OR=0.246 (0.090-0.669)]. Three HVR polymorphisms were found to be nominally significantly different between subjects with SZ and controls, and all except one (m.204T>C) are linked to the N9a haplogroup. Our results indicate that mtDNA haplogroup N9a might be a protective factor for SZ.
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Affiliation(s)
- Guo-xia Wang
- Center for DNA Typing, the Fourth Military Medical University, Xi'an 710032, China; Department of Biochemistry and Molecular Biology, the Fourth Military Medical University, Xi'an 710032, China
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Abstract
Schizophrenia (SZ) is a common disorder that runs in families. It has a relatively high heritability, i.e., inherited factors account for the major proportion of its etiology. The high heritability has motivated gene mapping studies that have improved in sophistication through the past two decades. Belying earlier expectations, it is now becoming increasingly clear that the cause of SZ does not reside in a single mutation, or even in a single gene. Rather, there are multiple DNA variants, not all of which have been identified. Additional risk may be conferred by interactions between individual DNA variants, as well as 'gene-environment' interactions. We review studies that have accounted for a fraction of the heritability. Their relevance to the practising clinician is discussed. We propose that continuing research in DNA variation, in conjunction with rapid ongoing advances in allied fields, will yield dividends from the perspective of diagnosis, treatment prediction through pharmacogenetics, and rational treatment through discoveries in pathogenesis.
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Affiliation(s)
- Prachi Kukshal
- Department of Genetics, University of Delhi South Campus, New Delhi, India
| | - B. K. Thelma
- Department of Genetics, University of Delhi South Campus, New Delhi, India
| | - Vishwajit L. Nimgaonkar
- Departments of Psychiatry and Human Genetics, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine and Graduate School of Public Health, Pittsburgh, Pennsylvania, USA
| | - Smita N. Deshpande
- Department of Psychiatry, Post Graduate Institute of Medical Education and Research, Dr Ram Manohar Lohia Hospital, New Delhi, India
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