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Han JY, Gwack J, Kim JH, Park MK, Park J. Genetic Alterations in Atypical Cerebral Palsy Identified Through Chromosomal Microarray and Exome Sequencing. Int J Mol Sci 2025; 26:2929. [PMID: 40243517 PMCID: PMC11988916 DOI: 10.3390/ijms26072929] [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: 02/06/2025] [Revised: 03/17/2025] [Accepted: 03/19/2025] [Indexed: 04/18/2025] Open
Abstract
This study investigated the genetic causes of atypical cerebral palsy (CP) through chromosomal microarray (CMA) and exome sequencing (ES) in a cohort of 10 Korean patients to identify variants and expand the spectrum of mutations associated with atypical cerebral palsy. Whole ES and/or genome sequencing (GS) after routine karyotyping and CMA was performed to identify causative variants and expand the spectrum of mutations associated with atypical CP. In cases of atypical CP, scoliosis and/or kyphosis, ranging from mild to severe, were present in all patients. Epilepsy was a comorbidity in seven patients (70%), and intellectual disability (ID) was observed in varying degrees. This study identified three copy number variations (CNVs), including 15q11.2 microdeletion (n = 1), 17p11.2 duplication (n = 1), and 12p13.33p11.23 duplication/18p11.32 microdeletion (n = 1), and six likely pathogenic variants (LPVs) or pathogenic variants (PVs) detected in the SLC2A1, PLAA, CDC42BPB, CACNA1D, ALG12, and SACS genes (n = 6). These findings emphasize the significance of incorporating genetic testing into the diagnostic process for atypical CP to improve our understanding of its molecular basis and inform personalized treatment strategies. To further advance this research, future studies should focus on exploring genotype-phenotype correlations, assessing the functional impact of identified variants, and increasing the sample size to validate the observed patterns.
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Affiliation(s)
- Ji Yoon Han
- Department of Pediatrics, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea;
- Department of Pediatrics, Daejeon St. Mary’s Hospital, Daejeon 34943, Republic of Korea
| | - Jin Gwack
- Department of Preventive Medicine, Jeonbuk National University Medical School, Jeonju 54907, Republic of Korea;
- Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju 54907, Republic of Korea
| | - Jong Hun Kim
- Department of Thoracic and Cardiovascular Surgery, Jeonbuk National University Medical School and Hospital, Jeonju 54907, Republic of Korea;
| | - Min Kyu Park
- Department of Clinical Pharmacology and Therapeutics, Chungbuk National University College of Medicine and Hospital, Cheongju 28644, Republic of Korea
- Research Institute of Cheongju-Osong Advanced Clinical Trial Center, Osong 28161, Republic of Korea
| | - Joonhong Park
- Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju 54907, Republic of Korea
- Department of Laboratory Medicine, Jeonbuk National University Medical School and Hospital, Jeonju 54907, Republic of Korea
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Doyle AE, Bearden CE, Gur RE, Ledbetter DH, Martin CL, McCoy TH, Pasaniuc B, Perlis RH, Smoller JW, Davis LK. Advancing Mental Health Research Through Strategic Integration of Transdiagnostic Dimensions and Genomics. Biol Psychiatry 2025; 97:450-460. [PMID: 39424167 DOI: 10.1016/j.biopsych.2024.10.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 09/11/2024] [Accepted: 10/04/2024] [Indexed: 10/21/2024]
Abstract
Genome-wide studies are yielding a growing catalog of common and rare variants that confer risk for psychopathology. However, despite representing unprecedented progress, emerging data also indicate that the full promise of psychiatric genetics-including understanding pathophysiology and improving personalized care-will not be fully realized by targeting traditional dichotomous diagnostic categories. The current article provides reflections on themes that emerged from a 2021 National Institute of Mental Health-sponsored conference convened to address strategies for the evolving field of psychiatric genetics. As anticipated by the National Institute of Mental Health's Research Domain Criteria framework, multilevel investigations of dimensional and transdiagnostic phenotypes, particularly when integrated with biobanks and big data, will be critical to advancing knowledge. The path forward will also require more diverse representation in source studies. Additionally, progress will be catalyzed by a range of converging approaches, including capitalizing on computational methods, pursuing biological insights, working within a developmental framework, and engaging health care systems and patient communities.
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Affiliation(s)
- Alysa E Doyle
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts; Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts.
| | - Carrie E Bearden
- Departments of Psychiatry and Biobehavioral Sciences & Psychology, University of California at Los Angeles, Los Angeles, California
| | - Raquel E Gur
- Departments of Psychiatry, Neurology and Radiology, Perelman School of Medicine, University of Pennsylvania, and the Lifespan Brain Institute of Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, Pennsylvania
| | - David H Ledbetter
- Departments of Pediatrics and Psychiatry, University of Florida College of Medicine, Jacksonville, Florida
| | - Christa L Martin
- Geisinger Autism & Developmental Medicine Institute, Lewisburg, Pennsylvania
| | - Thomas H McCoy
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Bogdan Pasaniuc
- Departments of Computational Medicine, Pathology and Laboratory Medicine, and Human Genetics, University of California at Los Angeles, Los Angeles, California
| | - Roy H Perlis
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts; Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts
| | - Jordan W Smoller
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts; Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts
| | - Lea K Davis
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee.
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Besterman AD, Adams DJ, Wong NR, Schneider BN, Mehta S, DiStefano C, Wilson RB, Martinez-Agosto JA, Jeste SS. Genomics-informed neuropsychiatric care for neurodevelopmental disorders: Results from a multidisciplinary clinic. Genet Med 2025; 27:101333. [PMID: 39692675 DOI: 10.1016/j.gim.2024.101333] [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: 05/14/2024] [Revised: 11/14/2024] [Accepted: 11/15/2024] [Indexed: 12/19/2024] Open
Abstract
PURPOSE Patients with neurodevelopmental disorders (NDDs) have high rates of neuropsychiatric comorbidities. Genomic medicine may help guide care because pathogenic variants are identified in up to 50% of patients with NDDs. We evaluate the impact of a genomics-informed, multidisciplinary, neuropsychiatric specialty clinic on the diagnosis and management of patients with NDDs. METHODS We performed a retrospective study of 316 patients from the University of California, Los Angeles Care and Research in Neurogenetics Clinic, a genomics-informed multidisciplinary clinic. RESULTS Among the 246 patients who underwent genetic testing, 41.8% had a pathogenic or likely pathogenic variant. Patients had 62 different genetic diagnoses, with 12 diagnoses shared by 2 or more patients, whereas 50 diagnoses were found in only single patients. Genetic diagnosis resulted in direct changes to clinical management in all patients with a pathogenic or likely pathogenic variant, including cascade testing (30.6%), family counseling (22.2%), medication changes (13.9%), clinical trial referral (2.8%), medical surveillance (30.6%), and specialty referrals (69.4%). CONCLUSIONS A genomics-informed model can provide significant clinical benefits to patients with NDDs, directly affecting management across multiple domains for most diagnosed patients. As precision treatments advance, establishing a genetic diagnosis will be critical for proper management. With the growing number of rare neurogenetic disorders, clinician training should emphasize core principles of genomic medicine over individual syndromes.
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Affiliation(s)
- Aaron D Besterman
- Division of Child and Adolescent Psychiatry, University of California San Diego Department of Psychiatry, San Diego, CA; Rady Children's Hospital of San Diego, San Diego, CA; Rady Children's Institute for Genomic Medicine, San Diego, CA
| | - David J Adams
- David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA; Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA
| | - Nicole R Wong
- Johns Hopkins School of Medicine, Department of Psychiatry and Behavioral Sciences, Baltimore, MD
| | - Benjamin N Schneider
- David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA; Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA
| | | | - Charlotte DiStefano
- Department of Psychiatry, Children's Hospital Los Angeles, Los Angeles, CA; Department of Psychiatry & The Biobehavioral Sciences, University of Southern California, Los Angeles, CA
| | - Rujuta B Wilson
- David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA; Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA
| | - Julian A Martinez-Agosto
- David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA; Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA; Department of Human Genetics, University of California Los Angeles, Los Angeles, CA.
| | - Shafali S Jeste
- Division of Neurology, Children's Hospital Los Angeles, Los Angeles, CA; Departments of Pediatrics and Neurology, University of Southern California, Los Angeles, CA.
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4
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Wright JR, Astrovskaya I, Barns SD, Goler A, Zhou X, Shu C, Snyder LG, Han B, Shen Y, Volfovsky N, Hall JB, Feliciano P, Chung WK. Return of genetic research results in 21,532 individuals with autism. Genet Med 2024; 26:101202. [PMID: 38958063 DOI: 10.1016/j.gim.2024.101202] [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: 01/30/2024] [Revised: 06/25/2024] [Accepted: 06/26/2024] [Indexed: 07/04/2024] Open
Abstract
PURPOSE The aim of this study is to identify likely pathogenic (LP) and pathogenic (P) genetic results for autism that can be returned to participants in SPARK (SPARKforAutism.org): a large recontactable cohort of people with autism in the United States. We also describe the process to return these clinically confirmed genetic findings. METHODS We present results from microarray genotyping and exome sequencing of 21,532 individuals with autism and 17,785 of their parents. We returned LP and P (American College of Medical Genetics criteria) copy-number variants, chromosomal aneuploidies, and variants in genes with strong evidence of association with autism and intellectual disability. RESULTS We identified 1903 returnable LP/P variants in 1861 individuals with autism (8.6%). 89.5% of these variants were not known to participants. The diagnostic genetic result was returned to 589 participants (53% of those contacted). Features associated with a higher probability of having a returnable result include cognitive and medically complex features, being female, being White (versus non-White) and being diagnosed more than 20 years ago. We also find results among autistics across the spectrum, as well as in transmitting parents with neuropsychiatric features but no autism diagnosis. CONCLUSION SPARK offers an opportunity to assess returnable results among autistic people who have not been ascertained clinically. SPARK also provides practical experience returning genetic results for a behavioral condition at a large scale.
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Affiliation(s)
- Jessica R Wright
- Division of Genetics and Genomics, Department of Pediatrics, Boston Children's Hospital, Boston, MA
| | | | - Sarah D Barns
- Division of Genetics and Genomics, Department of Pediatrics, Boston Children's Hospital, Boston, MA
| | - Alexandra Goler
- Division of Genetics and Genomics, Department of Pediatrics, Boston Children's Hospital, Boston, MA
| | - Xueya Zhou
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY
| | - Chang Shu
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | | | | | - Yufeng Shen
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY
| | | | | | - Pamela Feliciano
- Division of Genetics and Genomics, Department of Pediatrics, Boston Children's Hospital, Boston, MA
| | - Wendy K Chung
- Division of Genetics and Genomics, Department of Pediatrics, Boston Children's Hospital, Boston, MA; Department of Pediatrics, Harvard Medical School, Boston, MA.
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Ren Z, Tang H, Zhang W, Guo M, Cui J, Wang H, Xie B, Yu J, Chen Y, Zhang M, Han C, Chu T, Liang Q, Zhao S, Huang Y, He X, Liu K, Liu C, Chen C. The Role of KDM2A and H3K36me2 Demethylation in Modulating MAPK Signaling During Neurodevelopment. Neurosci Bull 2024; 40:1076-1092. [PMID: 38060137 PMCID: PMC11306490 DOI: 10.1007/s12264-023-01161-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 09/13/2023] [Indexed: 12/08/2023] Open
Abstract
Intellectual disability (ID) is a condition characterized by cognitive impairment and difficulties in adaptive functioning. In our research, we identified two de novo mutations (c.955C>T and c.732C>A) at the KDM2A locus in individuals with varying degrees of ID. In addition, by using the Gene4Denovo database, we discovered five additional cases of de novo mutations in KDM2A. The mutations we identified significantly decreased the expression of the KDM2A protein. To investigate the role of KDM2A in neural development, we used both 2D neural stem cell models and 3D cerebral organoids. Our findings demonstrated that the reduced expression of KDM2A impairs the proliferation of neural progenitor cells (NPCs), increases apoptosis, induces premature neuronal differentiation, and affects synapse maturation. Through ChIP-Seq analysis, we found that KDM2A exhibited binding to the transcription start site regions of genes involved in neurogenesis. In addition, the knockdown of KDM2A hindered H3K36me2 binding to the downstream regulatory elements of genes. By integrating ChIP-Seq and RNA-Seq data, we made a significant discovery of the core genes' remarkable enrichment in the MAPK signaling pathway. Importantly, this enrichment was specifically linked to the p38 MAPK pathway. Furthermore, disease enrichment analysis linked the differentially-expressed genes identified from RNA-Seq of NPCs and cerebral organoids to neurodevelopmental disorders such as ID, autism spectrum disorder, and schizophrenia. Overall, our findings suggest that KDM2A plays a crucial role in regulating the H3K36me2 modification of downstream genes, thereby modulating the MAPK signaling pathway and potentially impacting early brain development.
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Affiliation(s)
- Zongyao Ren
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, and Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, 410028, China
| | - Haiyan Tang
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, and Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, 410028, China
| | - Wendiao Zhang
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, and Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, 410028, China
| | - Minghui Guo
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, and Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, 410028, China
| | - Jingjie Cui
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, and Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, 410028, China
| | - Hua Wang
- Department of Medical Genetics, Hunan Children's Hospital, Changsha, 410007, China
| | - Bin Xie
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, and Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, 410028, China
| | - Jing Yu
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, and Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, 410028, China
| | - Yonghao Chen
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, and Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, 410028, China
| | - Ming Zhang
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, and Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, 410028, China
| | - Cong Han
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, and Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, 410028, China
| | - Tianyao Chu
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, and Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, 410028, China
| | - Qiuman Liang
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, and Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, 410028, China
| | - Shunan Zhao
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, and Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, 410028, China
| | - Yingjie Huang
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, and Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, 410028, China
| | - Xuelian He
- Precision Medical Center, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430014, China.
| | - Kefu Liu
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, and Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, 410028, China.
| | - Chunyu Liu
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, and Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, 410028, China.
- Department of Psychiatry, SUNY Upstate Medical University, Syracuse, NY, 13210, USA.
| | - Chao Chen
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, and Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, 410028, China.
- National Clinical Research Center on Mental Disorders, The Second Xiangya Hospital, Central South University, Changsha, 410028, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410011, China.
- Furong Laboratory, Changsha, 410000, China.
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Degenhardt F, Wohlleber E, Jamra RA, Hebebrand J. [Genetic Diagnostics in Everyday Clinical Practice in Child and Adolescent Psychiatry: Indications, Framework Conditions, Hurdles, and Proposed Solutions]. ZEITSCHRIFT FUR KINDER- UND JUGENDPSYCHIATRIE UND PSYCHOTHERAPIE 2024; 52:43-59. [PMID: 37641943 DOI: 10.1024/1422-4917/a000941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
Genetic Diagnostics in Everyday Clinical Practice in Child and Adolescent Psychiatry: Indications, Framework Conditions, Hurdles, and Proposed Solutions Abstract: Health insurance covers medically necessary genetic testing in Germany. Diagnostic genetic testing has become increasingly important for child and adolescent psychiatry (CAP), reflected by the rising number of national guidelines relevant to CAP, including genetic testing in the recommended diagnostic work-up. However, implementation of theses guidelines in routine clinical care is lacking. This article provides a concise overview of the relevance of genetic testing in CAP-related national guidelines. It outlines the legal and financial framework for genetic testing in Germany. Furthermore, it points out barriers to implementation and offers potential solutions. It then provides examples from clinical practice highlighting the potential benefits patients and their family members might have from receiving a genetic diagnosis. The article closes by outlining future CAP-relevant areas in which genetic testing may become clinically relevant.
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Affiliation(s)
- Franziska Degenhardt
- Klinik für Psychiatrie, Psychosomatik und Psychotherapie des Kindes- und Jugendalters, LVR-Universitätsklinikum Essen, Kliniken und Institut der Universität Duisburg-Essen, Deutschland
| | | | - Rami Abou Jamra
- Institut für Humangenetik, Universitätsklinikum Leipzig, Deutschland
| | - Johannes Hebebrand
- Klinik für Psychiatrie, Psychosomatik und Psychotherapie des Kindes- und Jugendalters, LVR-Universitätsklinikum Essen, Kliniken und Institut der Universität Duisburg-Essen, Deutschland
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von Scheibler EN, van Eeghen AM, de Koning TJ, Kuijf ML, Zinkstok JR, Müller AR, van Amelsvoort TA, Boot E. Parkinsonism in Genetic Neurodevelopmental Disorders: A Systematic Review. Mov Disord Clin Pract 2022; 10:17-31. [PMID: 36699000 PMCID: PMC9847320 DOI: 10.1002/mdc3.13577] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 06/25/2022] [Accepted: 08/16/2022] [Indexed: 01/28/2023] Open
Abstract
Background With advances in clinical genetic testing, associations between genetic neurodevelopmental disorders and parkinsonism are increasingly recognized. In this review, we aimed to provide a comprehensive overview of reports on parkinsonism in genetic neurodevelopmental disorders and summarize findings related to genetic diagnosis, clinical features and proposed disease mechanisms. Methods A systematic literature review was conducted in PubMed and Embase on June 15, 2021. Search terms for parkinsonism and genetic neurodevelopmental disorders, using generic terms and the Human Phenotype Ontology, were combined. Study characteristics and descriptive data were extracted from the articles using a modified version of the Cochrane Consumers and Communication Review Group's data extraction template. The protocol was registered in PROSPERO (CRD42020191035). Results The literature search yielded 208 reports for data-extraction, describing 69 genetic disorders in 422 patients. The five most reported from most to least frequent were: 22q11.2 deletion syndrome, beta-propeller protein-associated neurodegeneration, Down syndrome, cerebrotendinous xanthomatosis, and Rett syndrome. Notable findings were an almost equal male to female ratio, an early median age of motor onset (26 years old) and rigidity being more common than rest tremor. Results of dopaminergic imaging and response to antiparkinsonian medication often supported the neurodegenerative nature of parkinsonism. Moreover, neuropathology results showed neuronal loss in the majority of cases. Proposed disease mechanisms included aberrant mitochondrial function and disruptions in neurotransmitter metabolism, endosomal trafficking, and the autophagic-lysosomal and ubiquitin-proteasome system. Conclusion Parkinsonism has been reported in many GNDs. Findings from this study may provide clues for further research and improve management of patients with GNDs and/or parkinsonism.
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Affiliation(s)
- Emma N.M.M. von Scheibler
- Advisium'sHeeren Loo ZorggroepAmersfoortThe Netherlands,Department of Psychiatry and NeuropsychologyMaastricht UniversityMaastrichtThe Netherlands
| | - Agnies M. van Eeghen
- Advisium'sHeeren Loo ZorggroepAmersfoortThe Netherlands,Emma Children's HospitalUniversity of AmsterdamAmsterdamThe Netherlands
| | - Tom J. de Koning
- Department of GeneticsUniversity of GroningenGroningenThe Netherlands,Expertise Centre Movement Disorders GroningenUniversity Medical Centre GroningenGroningenThe Netherlands,Pediatrics, Department of Clinical SciencesLund UniversityLundSweden
| | - Mark L. Kuijf
- Department of NeurologyMaastricht University Medical CentreMaastrichtThe Netherlands
| | - Janneke R. Zinkstok
- Department of PsychiatryRadoud University Medical CentreNijmegenThe Netherlands,Karakter child and adolescent psychiatryNijmegenThe Netherlands,Department of Psychiatry and Brain CenterUniversity Medical Center UtrechtUtrechtThe Netherlands
| | - Annelieke R. Müller
- Advisium'sHeeren Loo ZorggroepAmersfoortThe Netherlands,Emma Children's HospitalUniversity of AmsterdamAmsterdamThe Netherlands
| | | | - Erik Boot
- Advisium'sHeeren Loo ZorggroepAmersfoortThe Netherlands,Department of Psychiatry and NeuropsychologyMaastricht UniversityMaastrichtThe Netherlands,The Dalglish Family 22q ClinicUniversity Health NetworkTorontoOntarioCanada
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Morris E, Inglis A, Austin J. Psychiatric genetic counseling for people with copy number variants associated with psychiatric conditions. Clin Genet 2022; 102:369-378. [PMID: 35996207 DOI: 10.1111/cge.14210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 08/08/2022] [Accepted: 08/12/2022] [Indexed: 11/26/2022]
Abstract
22q11.2 deletion is one of the most well-known copy number variants (CNVs) associated with developing a psychiatric condition (e.g. schizophrenia), but there is a growing list of other CNVs which also confer substantial risk for developing psychiatric conditions. With increased use of chromosome microarray and exome sequencing, the frequency with which these CNVs are detected is increasing. While individuals with such CNVs often receive genetic counseling, research shows that associated psychiatric conditions are less often addressed - clinicians tend to focus on the non-psychiatric manifestations of the CNV. This represents an important service gap for people with these CNVs and their families, as research shows that genetic counseling about psychiatric illness can produce meaningful positive outcomes for people, including increases in empowerment, and self-efficacy. Therefore, there is a need to ensure that individuals with psychiatric condition-associated CNVs are being counseled about these manifestations of their condition in a way that can promote best outcomes. In this paper we describe the process of providing genetic counseling in two clinical scenarios in which a psychiatric susceptibility CNV is identified: 1) in an individual who has not been diagnosed with a psychiatric condition and 2) in an individual with an established psychiatric condition.
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Affiliation(s)
- Emily Morris
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada.,Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Angela Inglis
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada.,Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Jehannine Austin
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada.,Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
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9
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What can genetics tell us about the schizophrenia construct? Schizophr Res 2022; 242:126-129. [PMID: 35125284 DOI: 10.1016/j.schres.2021.12.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 12/09/2021] [Indexed: 12/25/2022]
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An ethical analysis of divergent clinical approaches to the application of genetic testing for autism and schizophrenia. Hum Genet 2021; 141:1069-1084. [PMID: 34453583 DOI: 10.1007/s00439-021-02349-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Accepted: 08/16/2021] [Indexed: 12/27/2022]
Abstract
Genetic testing to identify genetic syndromes and copy number variants (CNVs) via whole genome platforms such as chromosome microarray (CMA) or exome sequencing (ES) is routinely performed clinically, and is considered by a variety of organizations and societies to be a "first-tier" test for individuals with developmental delay (DD), intellectual disability (ID), or autism spectrum disorder (ASD). However, in the context of schizophrenia, though CNVs can have a large effect on risk, genetic testing is not typically a part of routine clinical care, and no clinical practice guidelines recommend testing. This raises the question of whether CNV testing should be similarly performed for individuals with schizophrenia. Here we consider this proposition in light of the history of genetic testing for ID/DD and ASD, and through the application of an ethical analysis designed to enable robust, accountable and justifiable decision-making. Using a systematic framework and application of relevant bioethical principles (beneficence, non-maleficence, autonomy, and justice), our examination highlights that while CNV testing for the indication of ID has considerable benefits, there is currently insufficient evidence to suggest that overall, the potential harms are outweighed by the potential benefits of CNV testing for the sole indications of schizophrenia or ASD. However, although the application of CNV tests for children with ASD or schizophrenia without ID/DD is, strictly speaking, off-label use, there may be clinical utility and benefits substantive enough to outweigh the harms. Research is needed to clarify the harms and benefits of testing in pediatric and adult contexts. Given that genetic counseling has demonstrated benefits for schizophrenia, and has the potential to mitigate many of the potential harms from genetic testing, any decisions to implement genetic testing for schizophrenia should involve high-quality evidence-based genetic counseling.
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Identification of a novel nonsense homozygous mutation of LINS1 gene in two sisters with intellectual disability, schizophrenia, and anxiety. Biomed J 2021; 44:748-751. [PMID: 34450347 PMCID: PMC8847845 DOI: 10.1016/j.bj.2021.08.003] [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] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 08/15/2021] [Accepted: 08/18/2021] [Indexed: 11/23/2022] Open
Abstract
Background LINS1 encodes the lines homolog 1 protein that contains the Drosophila lines homologous domain. LINS1 mutations cause a rare recessive form of intellectual disability. So far, eight LINS1 mutations were reported in the literature. Methods We conducted a whole-genome sequencing analysis for a family with two sisters diagnosed with moderate intellectual disability, schizophrenia, and anxiety. Results We identified a novel homozygous nonsense mutation in the LINS1 in these two sisters. The mutation was a C-to-T substitution at the cDNA nucleotide position 274 that changed the amino acid glutamine at the codon 92 to stop codon (Gln92X). The mutation was transmitted from their unrelated parents, who were heterozygous carriers. Conclusions We identified the first case of LINS1-associated neurodevelopmental disorder in Taiwan. Our findings suggest that besides intellectual disability, psychiatric diagnoses such as schizophrenia and anxiety disorder may also be part of clinical phenotypes of LINS1 mutations.
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Moreno-De-Luca D, Martin CL. All for one and one for all: heterogeneity of genetic etiologies in neurodevelopmental psychiatric disorders. Curr Opin Genet Dev 2021; 68:71-78. [PMID: 33773394 DOI: 10.1016/j.gde.2021.02.015] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Revised: 02/19/2021] [Accepted: 02/26/2021] [Indexed: 12/27/2022]
Abstract
Alexandre Dumas' famous phrase All for One and One for All recapitulates our current understanding of the genomic architecture of neurodevelopmental psychiatric disorders (NPD), like autism Spectrum disorder, bipolar disorder, and schizophrenia. Many rare genomic variants of large effect size have been identified; all of them together can explain a significant proportion of NPD. In parallel, one rare genomic variant can cause all of the above NPD. Finally, common genomic variants of individually small effect size can be combined to further explain risk for NPD. How do we reconcile different genomic variants accounting for one clinical diagnosis, and different clinical diagnoses arising from a single genomic variant? Here, we discuss a framework to understand genetic and clinical heterogeneity in NPD.
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Affiliation(s)
- Daniel Moreno-De-Luca
- Genomic Psychiatry Consultation Service, Verrecchia Clinic for Children with Autism and Developmental Disabilities, Bradley Hospital, Providence, RI, United States; Division of Child and Adolescent Psychiatry, Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, United States.
| | - Christa Lese Martin
- Autism & Developmental Medicine Institute, Geisinger, Danville, PA, United States; Genomic Medicine Institute, Geisinger, Danville, PA, United States.
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Moreno-De-Luca A, Millan F, Pesacreta DR, Elloumi HZ, Oetjens MT, Teigen C, Wain KE, Scuffins J, Myers SM, Torene RI, Gainullin VG, Arvai K, Kirchner HL, Ledbetter DH, Retterer K, Martin CL. Molecular Diagnostic Yield of Exome Sequencing in Patients With Cerebral Palsy. JAMA 2021; 325:467-475. [PMID: 33528536 PMCID: PMC7856544 DOI: 10.1001/jama.2020.26148] [Citation(s) in RCA: 72] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
IMPORTANCE Cerebral palsy is a common neurodevelopmental disorder affecting movement and posture that often co-occurs with other neurodevelopmental disorders. Individual cases of cerebral palsy are often attributed to birth asphyxia; however, recent studies indicate that asphyxia accounts for less than 10% of cerebral palsy cases. OBJECTIVE To determine the molecular diagnostic yield of exome sequencing (prevalence of pathogenic and likely pathogenic variants) in individuals with cerebral palsy. DESIGN, SETTING, AND PARTICIPANTS A retrospective cohort study of patients with cerebral palsy that included a clinical laboratory referral cohort with data accrued between 2012 and 2018 and a health care-based cohort with data accrued between 2007 and 2017. EXPOSURES Exome sequencing with copy number variant detection. MAIN OUTCOMES AND MEASURES The primary outcome was the molecular diagnostic yield of exome sequencing. RESULTS Among 1345 patients from the clinical laboratory referral cohort, the median age was 8.8 years (interquartile range, 4.4-14.7 years; range, 0.1-66 years) and 601 (45%) were female. Among 181 patients in the health care-based cohort, the median age was 41.9 years (interquartile range, 28.0-59.6 years; range, 4.8-89 years) and 96 (53%) were female. The molecular diagnostic yield of exome sequencing was 32.7% (95% CI, 30.2%-35.2%) in the clinical laboratory referral cohort and 10.5% (95% CI, 6.0%-15.0%) in the health care-based cohort. The molecular diagnostic yield ranged from 11.2% (95% CI, 6.4%-16.2%) for patients without intellectual disability, epilepsy, or autism spectrum disorder to 32.9% (95% CI, 25.7%-40.1%) for patients with all 3 comorbidities. Pathogenic and likely pathogenic variants were identified in 229 genes (29.5% of 1526 patients); 86 genes were mutated in 2 or more patients (20.1% of 1526 patients) and 10 genes with mutations were independently identified in both cohorts (2.9% of 1526 patients). CONCLUSIONS AND RELEVANCE Among 2 cohorts of patients with cerebral palsy who underwent exome sequencing, the prevalence of pathogenic and likely pathogenic variants was 32.7% in a cohort that predominantly consisted of pediatric patients and 10.5% in a cohort that predominantly consisted of adult patients. Further research is needed to understand the clinical implications of these findings.
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Affiliation(s)
- Andrés Moreno-De-Luca
- Autism & Developmental Medicine Institute, Geisinger, Danville, Pennsylvania
- Genomic Medicine Institute, Geisinger, Danville, Pennsylvania
- Department of Radiology, Geisinger, Danville, Pennsylvania
- Diagnostic Medicine Institute, Geisinger, Danville, Pennsylvania
| | | | - Denis R. Pesacreta
- Autism & Developmental Medicine Institute, Geisinger, Danville, Pennsylvania
| | | | - Matthew T. Oetjens
- Autism & Developmental Medicine Institute, Geisinger, Danville, Pennsylvania
| | | | - Karen E. Wain
- Autism & Developmental Medicine Institute, Geisinger, Danville, Pennsylvania
- Genomic Medicine Institute, Geisinger, Danville, Pennsylvania
| | | | - Scott M. Myers
- Autism & Developmental Medicine Institute, Geisinger, Danville, Pennsylvania
| | | | | | | | - H. Lester Kirchner
- Department of Population Health Sciences, Geisinger, Danville, Pennsylvania
| | - David H. Ledbetter
- Autism & Developmental Medicine Institute, Geisinger, Danville, Pennsylvania
- Genomic Medicine Institute, Geisinger, Danville, Pennsylvania
| | | | - Christa L. Martin
- Autism & Developmental Medicine Institute, Geisinger, Danville, Pennsylvania
- Genomic Medicine Institute, Geisinger, Danville, Pennsylvania
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Finucane BM, Ledbetter DH, Vorstman JA. Diagnostic genetic testing for neurodevelopmental psychiatric disorders: closing the gap between recommendation and clinical implementation. Curr Opin Genet Dev 2021; 68:1-8. [PMID: 33434711 DOI: 10.1016/j.gde.2020.12.016] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 12/09/2020] [Accepted: 12/22/2020] [Indexed: 12/19/2022]
Abstract
Advances in laboratory testing have significantly increased the detection of rare genetic etiologies of neurodevelopmental psychiatric disorders (NPD), particularly developmental delay/ intellectual disability, autism spectrum disorder, and schizophrenia. Establishing a genetic diagnosis has important medical and personal utility for individuals with these conditions. Diagnostic genetic tests for NPD are clinically available but underutilized outside of medical genetics settings. Without clear multidisciplinary consensus recommendations, active involvement of medical specialists working with NPD patients, and practical education and training, the implementation of genetic testing for NPD will continue to lag behind other areas of medicine. In the long-term, collaborative efforts to address educational, logistical, and workforce obstacles will improve patient care and pave the way for targeted, effective NPD treatments.
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Affiliation(s)
- Brenda M Finucane
- Autism & Developmental Medicine Institute, Geisinger, Lewisburg, PA USA.
| | - David H Ledbetter
- Autism & Developmental Medicine Institute, Geisinger, Lewisburg, PA USA
| | - Jacob As Vorstman
- Department of Psychiatry, The Hospital for Sick Children, Toronto, ON, Canada
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15
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Lee PH, Feng YCA, Smoller JW. Pleiotropy and Cross-Disorder Genetics Among Psychiatric Disorders. Biol Psychiatry 2021; 89:20-31. [PMID: 33131714 PMCID: PMC7898275 DOI: 10.1016/j.biopsych.2020.09.026] [Citation(s) in RCA: 88] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 08/28/2020] [Accepted: 09/30/2020] [Indexed: 12/20/2022]
Abstract
Genome-wide analyses of common and rare genetic variations have documented the heritability of major psychiatric disorders, established their highly polygenic genetic architecture, and identified hundreds of contributing variants. In recent years, these studies have illuminated another key feature of the genetic basis of psychiatric disorders: the important role and pervasive nature of pleiotropy. It is now clear that a substantial fraction of genetic influences on psychopathology transcend clinical diagnostic boundaries. In this review, we summarize evidence in psychiatry for pleiotropy at multiple levels of analysis: from overall genome-wide correlation to biological pathways and down to the level of individual loci. We examine underlying mechanisms of observed pleiotropy, including genetic effects on neurodevelopment, diverse actions of regulatory elements, mediated effects, and spurious associations of genomic variation with multiple phenotypes. We conclude with an exploration of the implications of pleiotropy for understanding the genetic basis of psychiatric disorders, informing nosology, and advancing the aims of precision psychiatry and genomic medicine.
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Affiliation(s)
- Phil H Lee
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, and Department of Psychiatry, Massachusetts General Hospital, Boston; and Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Yen-Chen A Feng
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, and Department of Psychiatry, Massachusetts General Hospital, Boston; and Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Jordan W Smoller
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, and Department of Psychiatry, Massachusetts General Hospital, Boston; and Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts.
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