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Margot H, Pizano A, Amestoy A, Lacombe D, Berges C, Beneteau C, Innes AM. Investigations of an individual with a Marfanoid habitus, mild intellectual disability, and severe social anxiety identifies PCDHGA5 as a candidate neurodevelopmental disorder gene. AMERICAN JOURNAL OF MEDICAL GENETICS. PART C, SEMINARS IN MEDICAL GENETICS 2024; 196:e32087. [PMID: 38591859 DOI: 10.1002/ajmg.c.32087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/17/2024] [Revised: 03/23/2024] [Accepted: 03/31/2024] [Indexed: 04/10/2024]
Abstract
Marfanoid habitus and intellectual disability (MHID) co-occur in multiple neurodevelopmental disorders (NDD). Among those, Lujan-Fryns, an X-linked genetic disorder associated with variants in MED12 was the first such syndrome identified. Accurate molecular diagnosis for these MHID syndromes remains a challenge due to significant clinical and genetic heterogeneity. We present a case report of a 20-year-old male patient with MHID and severe social anxiety. A comprehensive clinical evaluation, including morphotype assessment, cognitive, and psychometric and genetic testing, was conducted to provide a detailed understanding of the patient's complex clinical presentation. Psychometric assessments revealed severe social anxiety and various cognitive and emotional challenges. Despite some autism-like symptoms, the patient's clinical presentation was more aligned with mild intellectual disability. Exome sequencing was inconclusive but identified a heterozygous de novo missense variant in the PCDHGA5 gene. This gene is not known in human pathology yet, but we also report a second patient with a syndromic neurodevelopmental disorder and a rare de novo variant which leads us to propose this as a candidate gene. Our findings emphasize the importance of multidisciplinary approach in the diagnosis and management of MHID. This case report underscores the need for objective clinical evaluations and standardized tools to better understand the complex clinical profiles of patients with NDDs. The identification of novel PCDHGA5 gene variants adds this gene's candidacy to the genetic landscape of MHID-NDD, warranting further investigation to determine its potential contribution.
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Affiliation(s)
- Henri Margot
- Univ. Bordeaux, MRGM INSERM U1211, CHU de Bordeaux, Service de Génétique Médicale, Bordeaux, France
| | - Adrien Pizano
- Aquitaine Autism Resources Centre, Centre Hospitalier Charles-Perrens, University Pole of Child and Adolescent Psychiatry, Bordeaux, France
| | - Anouck Amestoy
- Aquitaine Autism Resources Centre, Centre Hospitalier Charles-Perrens, University Pole of Child and Adolescent Psychiatry, Bordeaux, France
| | - Didier Lacombe
- Univ. Bordeaux, MRGM INSERM U1211, CHU de Bordeaux, Service de Génétique Médicale, Bordeaux, France
| | - Camille Berges
- Univ. Bordeaux, MRGM INSERM U1211, CHU de Bordeaux, Service de Génétique Médicale, Bordeaux, France
| | - Claire Beneteau
- Univ. Bordeaux, MRGM INSERM U1211, CHU de Bordeaux, Service de Génétique Médicale, Bordeaux, France
| | - A Micheil Innes
- Department of Medical Genetics and Pediatrics and Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Canada
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Zhou Y, Zha L, Wu J, Wang M, Zhou M, Wu G, Cheng X, Huang Z, Xie Q, Tu X. MED12 Regulates Smooth Muscle Cell Functions and Participates in the Development of Aortic Dissection. Genes (Basel) 2022; 13:genes13040692. [PMID: 35456498 PMCID: PMC9027749 DOI: 10.3390/genes13040692] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 04/12/2022] [Accepted: 04/12/2022] [Indexed: 02/01/2023] Open
Abstract
Aortic dissection (AD) is a life-threatening disease with high morbidity and mortality, and effective pharmacotherapeutic remedies for it are lacking. Therefore, AD’s molecular pathogenesis and etiology must be elucidated. The aim of this study was to investigate the possible mechanism of mediator complex subunit 12 (human: MED12, mouse: Med12)involvement in AD. Firstly, we examined the expression of MED12 protein (human: MED12, mouse: Med12) in the aortic tissues of AD patients and AD mice. Subsequently, Med12 gene silencing was accomplished with RNA interference (siRNA). The effects of Med12 on AD and the possible biological mechanisms were investigated based on the proliferation, senescence, phenotypic transformation, and its involved signal pathway of mouse aortic smooth muscle cells (MOVAS), s. The results show that the expression of MED12 in the aortae of AD patients and AD mice was decreased. Moreover, the downregulation of Med12 inhibited the proliferation of MOVAS and promoted senescence. Further research found that Med12, as an inhibitor of the TGFβ1 signaling pathway, reduced the expression of Med12 and enhanced the activity of the TGFβ1 nonclassical signaling pathway, while TGFβ1 inhibited the phenotype transformation and proliferation of MOVAS by inhibiting Med12 synthesis. In conclusion, Med12 affected the phenotype, proliferation, and senescence of MOVAS through the TGFβ signaling pathway. This study provides a potential new target for the prevention and treatment of AD.
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Affiliation(s)
- Yingchao Zhou
- Heart Center, Qingdao Women and Children’s Hospital, Qingdao University, Qingdao 266034, China;
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Center for Human Genome Research, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China; (J.W.); (M.W.)
| | - Lingfeng Zha
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (L.Z.); (M.Z.); (X.C.)
| | - Jianfei Wu
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Center for Human Genome Research, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China; (J.W.); (M.W.)
| | - Mengru Wang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Center for Human Genome Research, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China; (J.W.); (M.W.)
| | - Mengchen Zhou
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (L.Z.); (M.Z.); (X.C.)
| | - Gang Wu
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan 430060, China;
| | - Xiang Cheng
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (L.Z.); (M.Z.); (X.C.)
| | - Zhengrong Huang
- Department of Cardiology, The First Affiliated Hospital of Xiamen University, Xiamen 361003, China;
| | - Qiang Xie
- Department of Cardiology, The First Affiliated Hospital of Xiamen University, Xiamen 361003, China;
- Correspondence: (Q.X.); (X.T.)
| | - Xin Tu
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Center for Human Genome Research, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China; (J.W.); (M.W.)
- Correspondence: (Q.X.); (X.T.)
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Knuutinen OA, Oikarainen JH, Suo-Palosaari MH, Kangas SM, Rahikkala EJ, Pokka TML, Moilanen JS, Hinttala RML, Vieira PM, Uusimaa JM. Epidemiological, clinical, and genetic characteristics of paediatric genetic white matter disorders in Northern Finland. Dev Med Child Neurol 2021; 63:1066-1074. [PMID: 33948933 DOI: 10.1111/dmcn.14884] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/01/2021] [Indexed: 12/21/2022]
Abstract
AIM To examine the epidemiological, clinical, and genetic characteristics of paediatric patients with genetic white matter disorders (GWMDs) in Northern Finland. METHOD A longitudinal population-based cohort study was conducted in the tertiary catchment area of Oulu University Hospital from 1990 to 2019. Patients were identified retrospectively by International Statistical Classification of Diseases and Related Health Problems codes in hospital records and prospectively by attending physicians. Inclusion criteria were children younger than 18 years with defined GWMDs or genetic disorders associated with white matter abnormalities (WMAs) on brain magnetic resonance imaging. RESULTS Eighty patients (mean age [SD] at the end of the study 11y [8y 6mo], range 0-35y; 45 males, 35 females) were diagnosed with a defined GWMD. The cumulative childhood incidence was 30 per 100 000 live births. Regarding those patients with 49 distinct GWMDs, 20% had classic leukodystrophies and 80% had genetic leukoencephalopathies. The most common leukodystrophies were cerebral adrenoleukodystrophy, Krabbe disease, and Salla disease. Additionally, 29 patients (36%) had genetic aetiologies not previously associated with brain WMAs or they had recently characterised GWMDs, including SAMD9L- and NHLRC2-related neurological disorders. Aetiology was mitochondrial in 21% of patients. The most common clinical findings were motor developmental delay, intellectual disability, hypotonia, and spasticity. INTERPRETATION The cumulative childhood incidence of childhood-onset GWMDs was higher than previously described. Comprehensive epidemiological and natural history data are needed before future clinical trials are undertaken. What this paper adds Forty-nine distinct genetic white matter disorders (GWMDs) were identified, with 20% of cases being classic leukodystrophies. The cumulative childhood incidence of GWMDs was higher than described previously. A considerable proportion (36%) of GWMDs were previously undefined or recently characterised GWMDs. Mitochondrial aetiology was more common (21%) than previously reported.
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Affiliation(s)
- Oula A Knuutinen
- PEDEGO Research Unit, University of Oulu, Oulu, Finland.,Medical Research Center Oulu, University of Oulu and Oulu University Hospital, Oulu, Finland
| | - Jaakko H Oikarainen
- Medical Research Center Oulu, University of Oulu and Oulu University Hospital, Oulu, Finland.,Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland.,Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland
| | - Maria H Suo-Palosaari
- Medical Research Center Oulu, University of Oulu and Oulu University Hospital, Oulu, Finland.,Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland.,Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland
| | - Salla M Kangas
- PEDEGO Research Unit, University of Oulu, Oulu, Finland.,Medical Research Center Oulu, University of Oulu and Oulu University Hospital, Oulu, Finland.,Biocenter Oulu, University of Oulu, Oulu, Finland
| | - Elisa J Rahikkala
- PEDEGO Research Unit, University of Oulu, Oulu, Finland.,Medical Research Center Oulu, University of Oulu and Oulu University Hospital, Oulu, Finland.,Department of Clinical Genetics, Oulu University Hospital, Oulu, Finland
| | - Tytti M-L Pokka
- PEDEGO Research Unit, University of Oulu, Oulu, Finland.,Clinic for Children and Adolescents, Oulu University Hospital, Oulu, Finland
| | - Jukka S Moilanen
- PEDEGO Research Unit, University of Oulu, Oulu, Finland.,Medical Research Center Oulu, University of Oulu and Oulu University Hospital, Oulu, Finland.,Department of Clinical Genetics, Oulu University Hospital, Oulu, Finland
| | - Reetta M L Hinttala
- PEDEGO Research Unit, University of Oulu, Oulu, Finland.,Medical Research Center Oulu, University of Oulu and Oulu University Hospital, Oulu, Finland.,Biocenter Oulu, University of Oulu, Oulu, Finland
| | - Päivi M Vieira
- PEDEGO Research Unit, University of Oulu, Oulu, Finland.,Medical Research Center Oulu, University of Oulu and Oulu University Hospital, Oulu, Finland.,Clinic for Children and Adolescents, Oulu University Hospital, Oulu, Finland
| | - Johanna M Uusimaa
- PEDEGO Research Unit, University of Oulu, Oulu, Finland.,Medical Research Center Oulu, University of Oulu and Oulu University Hospital, Oulu, Finland.,Clinic for Children and Adolescents, Oulu University Hospital, Oulu, Finland
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Robert C, Pasquier L, Cohen D, Fradin M, Canitano R, Damaj L, Odent S, Tordjman S. Role of Genetics in the Etiology of Autistic Spectrum Disorder: Towards a Hierarchical Diagnostic Strategy. Int J Mol Sci 2017; 18:E618. [PMID: 28287497 PMCID: PMC5372633 DOI: 10.3390/ijms18030618] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2016] [Revised: 02/17/2017] [Accepted: 02/20/2017] [Indexed: 12/27/2022] Open
Abstract
Progress in epidemiological, molecular and clinical genetics with the development of new techniques has improved knowledge on genetic syndromes associated with autism spectrum disorder (ASD). The objective of this article is to show the diversity of genetic disorders associated with ASD (based on an extensive review of single-gene disorders, copy number variants, and other chromosomal disorders), and consequently to propose a hierarchical diagnostic strategy with a stepwise evaluation, helping general practitioners/pediatricians and child psychiatrists to collaborate with geneticists and neuropediatricians, in order to search for genetic disorders associated with ASD. The first step is a clinical investigation involving: (i) a child psychiatric and psychological evaluation confirming autism diagnosis from different observational sources and assessing autism severity; (ii) a neuropediatric evaluation examining neurological symptoms and developmental milestones; and (iii) a genetic evaluation searching for dysmorphic features and malformations. The second step involves laboratory and if necessary neuroimaging and EEG studies oriented by clinical results based on clinical genetic and neuropediatric examinations. The identification of genetic disorders associated with ASD has practical implications for diagnostic strategies, early detection or prevention of co-morbidity, specific treatment and follow up, and genetic counseling.
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Affiliation(s)
- Cyrille Robert
- Pôle Hospitalo-Universitaire de Psychiatrie de l'Enfant et de l'Adolescent (PHUPEA), University of Rennes 1 and Centre Hospitalier Guillaume Régnier, 35200 Rennes, France.
- Service de Génétique Clinique, Centre de Référence Maladies Rares Anomalies du Développement (Centre Labellisé pour les Anomalies du Développement de l'Ouest: CLAD Ouest), Hôpital Sud, Centre Hospitalier Universitaire de Rennes, 35200 Rennes, France.
| | - Laurent Pasquier
- Service de Génétique Clinique, Centre de Référence Maladies Rares Anomalies du Développement (Centre Labellisé pour les Anomalies du Développement de l'Ouest: CLAD Ouest), Hôpital Sud, Centre Hospitalier Universitaire de Rennes, 35200 Rennes, France.
| | - David Cohen
- Hospital-University Department of Child and Adolescent Psychiatry, Pitié-Salpétrière Hospital, Paris 6 University, 75013 Paris, France.
| | - Mélanie Fradin
- Service de Génétique Clinique, Centre de Référence Maladies Rares Anomalies du Développement (Centre Labellisé pour les Anomalies du Développement de l'Ouest: CLAD Ouest), Hôpital Sud, Centre Hospitalier Universitaire de Rennes, 35200 Rennes, France.
| | - Roberto Canitano
- Division of Child and Adolescent Neuropsychiatry, University Hospital of Siena, 53100 Siena, Italy.
| | - Léna Damaj
- Service de Génétique Clinique, Centre de Référence Maladies Rares Anomalies du Développement (Centre Labellisé pour les Anomalies du Développement de l'Ouest: CLAD Ouest), Hôpital Sud, Centre Hospitalier Universitaire de Rennes, 35200 Rennes, France.
| | - Sylvie Odent
- Service de Génétique Clinique, Centre de Référence Maladies Rares Anomalies du Développement (Centre Labellisé pour les Anomalies du Développement de l'Ouest: CLAD Ouest), Hôpital Sud, Centre Hospitalier Universitaire de Rennes, 35200 Rennes, France.
| | - Sylvie Tordjman
- Pôle Hospitalo-Universitaire de Psychiatrie de l'Enfant et de l'Adolescent (PHUPEA), University of Rennes 1 and Centre Hospitalier Guillaume Régnier, 35200 Rennes, France.
- Laboratory of Psychology of Perception, University Paris Descartes, 75270 Paris, France.
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5
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De novo nonsense and frameshift variants of TCF20 in individuals with intellectual disability and postnatal overgrowth. Eur J Hum Genet 2016; 24:1739-1745. [PMID: 27436265 DOI: 10.1038/ejhg.2016.90] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2015] [Revised: 06/01/2016] [Accepted: 06/21/2016] [Indexed: 01/01/2023] Open
Abstract
Recently, germline variants of the transcriptional co-regulator gene TCF20 have been implicated in the aetiology of autism spectrum disorders (ASD). However, the knowledge about the associated clinical picture remains fragmentary. In this study, two individuals with de novo TCF20 sequence variants were identified in a cohort of 313 individuals with intellectual disability of unknown aetiology, which was analysed by whole exome sequencing using a child-parent trio design. Both detected variants - one nonsense and one frameshift variant - were truncating. A comprehensive clinical characterisation of the patients yielded mild intellectual disability, postnatal tall stature and macrocephaly, obesity and muscular hypotonia as common clinical signs while ASD was only present in one proband. The present report begins to establish the clinical picture of individuals with de novo nonsense and frameshift variants of TCF20 which includes features such as proportionate overgrowth and muscular hypotonia. Furthermore, intellectual disability/developmental delay seems to be fully penetrant amongst known individuals with de novo nonsense and frameshift variants of TCF20, whereas ASD is shown to be incompletely penetrant. The transcriptional co-regulator gene TCF20 is hereby added to the growing number of genes implicated in the aetiology of both ASD and intellectual disability. Furthermore, such de novo variants of TCF20 may represent a novel differential diagnosis in the overgrowth syndrome spectrum.
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6
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Polyak A, Kubina RM, Girirajan S. Comorbidity of intellectual disability confounds ascertainment of autism: implications for genetic diagnosis. Am J Med Genet B Neuropsychiatr Genet 2015. [PMID: 26198689 DOI: 10.1002/ajmg.b.32338] [Citation(s) in RCA: 78] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
While recent studies suggest a converging role for genetic factors towards risk for nosologically distinct disorders including autism, intellectual disability (ID), and epilepsy, current estimates of autism prevalence fail to take into account the impact of comorbidity of these disorders on autism diagnosis. We aimed to assess the effect of comorbidity on the diagnosis and prevalence of autism by analyzing 11 years (2000-2010) of special education enrollment data on approximately 6.2 million children per year. We found a 331% increase in the prevalence of autism from 2000 to 2010 within special education, potentially due to a diagnostic recategorization from frequently comorbid features such as ID. The decrease in ID prevalence equaled an average of 64.2% of the increase of autism prevalence for children aged 3-18 years. The proportion of ID cases potentially undergoing recategorization to autism was higher (P = 0.007) among older children (75%) than younger children (48%). Some US states showed significant negative correlations between the prevalence of autism compared to that of ID while others did not, suggesting state-specific health policy to be a major factor in categorizing autism. Further, a high frequency of autistic features was observed when individuals with classically defined genetic syndromes were evaluated for autism using standardized instruments. Our results suggest that current ascertainment practices are based on a single facet of autism-specific clinical features and do not consider associated comorbidities that may confound diagnosis. Longitudinal studies with detailed phenotyping and deep molecular genetic analyses are necessary to completely understand the cause of this complex disorder.
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Affiliation(s)
- Andrew Polyak
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania, 16802
| | - Richard M Kubina
- Department of Educational Psychology, Counseling, and Special Education, The Pennsylvania State University, University Park, Pennsylvania, 16802
| | - Santhosh Girirajan
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania, 16802.,Department of Anthropology, The Pennsylvania State University, University Park, Pennsylvania, 16802
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Chen Y, Zhang X, Zhang GQ, Xu R. Comparative analysis of a novel disease phenotype network based on clinical manifestations. J Biomed Inform 2014; 53:113-20. [PMID: 25277758 DOI: 10.1016/j.jbi.2014.09.007] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2014] [Revised: 08/18/2014] [Accepted: 09/21/2014] [Indexed: 12/21/2022]
Abstract
Systems approaches to analyzing disease phenotype networks in combination with protein functional interaction networks have great potential in illuminating disease pathophysiological mechanisms. While many genetic networks are readily available, disease phenotype networks remain largely incomplete. In this study, we built a large-scale Disease Manifestation Network (DMN) from 50,543 highly accurate disease-manifestation semantic relationships in the United Medical Language System (UMLS). Our new phenotype network contains 2305 nodes and 373,527 weighted edges to represent the disease phenotypic similarities. We first compared DMN with the networks representing genetic relationships among diseases, and demonstrated that the phenotype clustering in DMN reflects common disease genetics. Then we compared DMN with a widely-used disease phenotype network in previous gene discovery studies, called mimMiner, which was extracted from the textual descriptions in Online Mendelian Inheritance in Man (OMIM). We demonstrated that DMN contains different knowledge from the existing phenotype data source. Finally, a case study on Marfan syndrome further proved that DMN contains useful information and can provide leads to discover unknown disease causes. Integrating DMN in systems approaches with mimMiner and other data offers the opportunities to predict novel disease genetics. We made DMN publicly available at nlp/case.edu/public/data/DMN.
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Affiliation(s)
- Yang Chen
- Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH 44106, United States; Division of Medical Informatics, School of Medicine, Case Western Reserve University, Cleveland, OH 44106, United States
| | - Xiang Zhang
- Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH 44106, United States
| | - Guo-Qiang Zhang
- Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH 44106, United States; Division of Medical Informatics, School of Medicine, Case Western Reserve University, Cleveland, OH 44106, United States
| | - Rong Xu
- Division of Medical Informatics, School of Medicine, Case Western Reserve University, Cleveland, OH 44106, United States.
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8
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Persico AM, Napolioni V. Autism genetics. Behav Brain Res 2013; 251:95-112. [PMID: 23769996 DOI: 10.1016/j.bbr.2013.06.012] [Citation(s) in RCA: 174] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2012] [Revised: 06/03/2013] [Accepted: 06/04/2013] [Indexed: 12/22/2022]
Abstract
Autism spectrum disorder (ASD) is a severe neuropsychiatric disease with strong genetic underpinnings. However, genetic contributions to autism are extremely heterogeneous, with many different loci underlying the disease to a different extent in different individuals. Moreover, the phenotypic expression (i.e., "penetrance") of these genetic components is also highly variable, ranging from fully penetrant point mutations to polygenic forms with multiple gene-gene and gene-environment interactions. Furthermore, many genes involved in ASD are also involved in intellectual disability, further underscoring their lack of specificity in phenotypic expression. We shall hereby review current knowledge on the genetic basis of ASD, spanning genetic/genomic syndromes associated with autism, monogenic forms due to copy number variants (CNVs) or rare point mutations, mitochondrial forms, and polygenic autisms. Finally, the recent contributions of genome-wide association and whole exome sequencing studies will be highlighted.
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Affiliation(s)
- Antonio M Persico
- Child and Adolescent Neuropsychiatry Unit, University Campus Bio-Medico, Rome, Italy.
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9
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Zafeiriou DI, Ververi A, Dafoulis V, Kalyva E, Vargiami E. Autism spectrum disorders: the quest for genetic syndromes. Am J Med Genet B Neuropsychiatr Genet 2013; 162B:327-66. [PMID: 23650212 DOI: 10.1002/ajmg.b.32152] [Citation(s) in RCA: 61] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2011] [Accepted: 03/01/2013] [Indexed: 11/10/2022]
Abstract
Autism spectrum disorders (ASD) are a heterogeneous group of neurodevelopmental disabilities with various etiologies, but with a heritability estimate of more than 90%. Although the strong correlation between autism and genetic factors has been long established, the exact genetic background of ASD remains unclear. A number of genetic syndromes manifest ASD at higher than expected frequencies compared to the general population. These syndromes account for more than 10% of all ASD cases and include tuberous sclerosis, fragile X, Down, neurofibromatosis, Angelman, Prader-Willi, Williams, Duchenne, etc. Clinicians are increasingly required to recognize genetic disorders in individuals with ASD, in terms of providing proper care and prognosis to the patient, as well as genetic counseling to the family. Vice versa, it is equally essential to identify ASD in patients with genetic syndromes, in order to ensure correct management and appropriate educational placement. During investigation of genetic syndromes, a number of issues emerge: impact of intellectual disability in ASD diagnoses, identification of autistic subphenotypes and differences from idiopathic autism, validity of assessment tools designed for idiopathic autism, possible mechanisms for the association with ASD, etc. Findings from the study of genetic syndromes are incorporated into the ongoing research on autism etiology and pathogenesis; different syndromes converge upon common biological backgrounds (such as disrupted molecular pathways and brain circuitries), which probably account for their comorbidity with autism. This review paper critically examines the prevalence and characteristics of the main genetic syndromes, as well as the possible mechanisms for their association with ASD.
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10
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Callier P, Aral B, Hanna N, Lambert S, Dindy H, Ragon C, Payet M, Collod-Beroud G, Carmignac V, Delrue MA, Goizet C, Philip N, Busa T, Dulac Y, Missotte I, Sznajer Y, Toutain A, Francannet C, Megarbane A, Julia S, Edouard T, Sarda P, Amiel J, Lyonnet S, Cormier-Daire V, Gilbert B, Jacquette A, Heron D, Collignon P, Lacombe D, Morice-Picard F, Jouk PS, Cusin V, Willems M, Sarrazin E, Amarof K, Coubes C, Addor MC, Journel H, Colin E, Khau Van Kien P, Baumann C, Leheup B, Martin-Coignard D, Doco-Fenzy M, Goldenberg A, Plessis G, Thevenon J, Pasquier L, Odent S, Vabres P, Huet F, Marle N, Mosca-Boidron AL, Mugneret F, Gauthier S, Binquet C, Thauvin-Robinet C, Jondeau G, Boileau C, Faivre L. Systematic molecular and cytogenetic screening of 100 patients with marfanoid syndromes and intellectual disability. Clin Genet 2013; 84:507-21. [PMID: 23506379 DOI: 10.1111/cge.12094] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2012] [Revised: 01/04/2013] [Accepted: 01/04/2013] [Indexed: 01/13/2023]
Abstract
The association of marfanoid habitus (MH) and intellectual disability (ID) has been reported in the literature, with overlapping presentations and genetic heterogeneity. A hundred patients (71 males and 29 females) with a MH and ID were recruited. Custom-designed 244K array-CGH (Agilent®; Agilent Technologies Inc., Santa Clara, CA) and MED12, ZDHHC9, UPF3B, FBN1, TGFBR1 and TGFBR2 sequencing analyses were performed. Eighty patients could be classified as isolated MH and ID: 12 chromosomal imbalances, 1 FBN1 mutation and 1 possibly pathogenic MED12 mutation were found (17%). Twenty patients could be classified as ID with other extra-skeletal features of the Marfan syndrome (MFS) spectrum: 4 pathogenic FBN1 mutations and 4 chromosomal imbalances were found (2 patients with both FBN1 mutation and chromosomal rearrangement) (29%). These results suggest either that there are more loci with genes yet to be discovered or that MH can also be a relatively non-specific feature of patients with ID. The search for aortic complications is mandatory even if MH is associated with ID since FBN1 mutations or rearrangements were found in some patients. The excess of males is in favour of the involvement of other X-linked genes. Although it was impossible to make a diagnosis in 80% of patients, these results will improve genetic counselling in families.
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Affiliation(s)
- P Callier
- Service de Cytogénétique, Plateau technique de Biologie, CHU, Dijon, France; Equipe GAD, EA 4271, Université de Bourgogne, Dijon, France
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11
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Mediator and human disease. Semin Cell Dev Biol 2011; 22:776-87. [PMID: 21840410 DOI: 10.1016/j.semcdb.2011.07.024] [Citation(s) in RCA: 72] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2011] [Revised: 07/25/2011] [Accepted: 07/28/2011] [Indexed: 01/21/2023]
Abstract
Since the identification of a metazoan counterpart to yeast Mediator nearly 15 years ago, a convergent body of biochemical and molecular genetic studies have confirmed their structural and functional relationship as an integrative hub through which regulatory information conveyed by signal activated transcription factors is transduced to RNA polymerase II. Nonetheless, metazoan Mediator complexes have been shaped during evolution by substantive diversification and expansion in both the number and sequence of their constituent subunits, with important implications for the development of multicellular organisms. The appearance of unique interaction surfaces within metazoan Mediator complexes for transcription factors of diverse species-specific origins extended the role of Mediator to include an essential function in coupling developmentally coded signals with precise gene expression output sufficient to specify cell fate and function. The biological significance of Mediator in human development, suggested by genetic studies in lower metazoans, is emphatically illustrated by an expanding list of human pathologies linked to genetic variation or aberrant expression of its individual subunits. Here, we review our current body of knowledge concerning associations between individual Mediator subunits and specific pathological disorders. When established, molecular etiologies underlying genotype-phenotype correlations are addressed, and we anticipate that future progress in this critical area will help identify therapeutic targets across a range of human pathologies.
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Kotulska K, Jóźwiak S. Autism in monogenic disorders. Eur J Paediatr Neurol 2011; 15:177-80. [PMID: 20920867 DOI: 10.1016/j.ejpn.2010.08.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2010] [Accepted: 08/31/2010] [Indexed: 12/15/2022]
Affiliation(s)
- Katarzyna Kotulska
- Department of Neurology and Epileptology, The Children's Memorial Health Institute, Al. Dzieci Polskich 20, 04-730 Warsaw, Poland.
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Betancur C. Etiological heterogeneity in autism spectrum disorders: more than 100 genetic and genomic disorders and still counting. Brain Res 2010; 1380:42-77. [PMID: 21129364 DOI: 10.1016/j.brainres.2010.11.078] [Citation(s) in RCA: 586] [Impact Index Per Article: 39.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2010] [Revised: 11/22/2010] [Accepted: 11/23/2010] [Indexed: 12/31/2022]
Abstract
There is increasing evidence that autism spectrum disorders (ASDs) can arise from rare highly penetrant mutations and genomic imbalances. The rare nature of these variants, and the often differing orbits of clinical and research geneticists, can make it difficult to fully appreciate the extent to which we have made progress in understanding the genetic etiology of autism. In fact, there is a persistent view in the autism research community that there are only a modest number of autism loci known. We carried out an exhaustive review of the clinical genetics and research genetics literature in an attempt to collate all genes and recurrent genomic imbalances that have been implicated in the etiology of ASD. We provide data on 103 disease genes and 44 genomic loci reported in subjects with ASD or autistic behavior. These genes and loci have all been causally implicated in intellectual disability, indicating that these two neurodevelopmental disorders share common genetic bases. A genetic overlap between ASD and epilepsy is also apparent in many cases. Taken together, these findings clearly show that autism is not a single clinical entity but a behavioral manifestation of tens or perhaps hundreds of genetic and genomic disorders. Increased recognition of the etiological heterogeneity of ASD will greatly expand the number of target genes for neurobiological investigations and thereby provide additional avenues for the development of pathway-based pharmacotherapy. Finally, the data provide strong support for high-resolution DNA microarrays as well as whole-exome and whole-genome sequencing as critical approaches for identifying the genetic causes of ASDs.
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Hereditary disorders of connective tissue: a guide to the emerging differential diagnosis. Genet Med 2010; 12:344-54. [PMID: 20467323 DOI: 10.1097/gim.0b013e3181e074f0] [Citation(s) in RCA: 41] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
PURPOSE To create a practical desk reference for clinicians focused on the differential diagnosis of individuals presenting with features that suggest an inherited disorder of connective tissue. METHODS We searched the medical literature for distinct clinical entities that shared clinical features with Marfan syndrome and other classical inherited disorders of connective tissue. RESULTS Thirty-six distinct heritable disorders of connective tissue were identified that have overlapping features. These disorders were organized into two matrices according to clinical characteristics and according to causative genes. CONCLUSIONS A broad differential diagnosis is emerging for individuals presenting with features suggestive of altered connective tissue. Recent advances in molecular genetics have aided in the delineation of these disorders.
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du Souich C, Chou A, Yin J, Oh T, Nelson TN, Hurlburt J, Arbour L, Friedlander R, McGillivray BC, Tyshchenko N, Rump A, Poskitt KJ, Demos MK, Van Allen MI, Boerkoel CF. Characterization of a new X-linked mental retardation syndrome with microcephaly, cortical malformation, and thin habitus. Am J Med Genet A 2010; 149A:2469-78. [PMID: 19842190 DOI: 10.1002/ajmg.a.33071] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
X-linked mental retardation (XLMR) affects 1-2/1,000 males and accounts for approximately 10% of all mental retardation (MR). We have ascertained a syndromic form of XLMR segregating within a five-generation family with seven affected males. Prominent characteristics include mild to severe MR, cortical malformation, microcephaly, seizures, thin build with distinct facial features including a long and thin face, epicanthic folds, almond-shaped eyes, upslanting palpebral fissures and micrognathia and behavioral problems. Carrier females have normal physical appearance and intelligence. This combination of features is unreported and distinct from Lujan-Fryns syndrome, Snyder-Robinson syndrome, and zinc finger DHHC domain-containing 9-associated MR. We propose the name of this new syndrome to be CK syndrome.
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du Souich C, Austin JC, Friedlander R, Boerkoel CF. A novel syndrome with psychiatric features and review of malformation syndromes with psychiatric disorders. Am J Med Genet A 2009; 149A:713-21. [PMID: 19253384 DOI: 10.1002/ajmg.a.32709] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Psychiatric disease occurs with increased frequency in a number of malformation syndromes. We hypothesize that the study of these disorders is helpful for understanding the pathophysiology of psychiatric disease. With this objective, we have been screening for individuals with malformations and prominent psychiatric disease. We report on a man with visual and auditory hallucinations and behavioral problems who was the product of an incestuous relationship and had anomalies primarily of his face, hands and feet. His distinctive features define an undescribed acro-auricular malformation syndrome with a psychiatric component. The study of Mendelian syndromes such as the one presented will likely be helpful for isolating novel genes involved in psychiatric illness.
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Affiliation(s)
- Christèle du Souich
- Provincial Medical Genetics Programme, Department of Medical Genetics, University of British Columbia, Vancouver, Canada.
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Schwartz CE, Tarpey PS, Lubs HA, Verloes A, May MM, Risheg H, Friez MJ, Futreal PA, Edkins S, Teague J, Briault S, Skinner C, Bauer-Carlin A, Simensen RJ, Joseph SM, Jones JR, Gecz J, Stratton MR, Raymond FL, Stevenson RE. The original Lujan syndrome family has a novel missense mutation (p.N1007S) in the MED12 gene. J Med Genet 2007; 44:472-7. [PMID: 17369503 PMCID: PMC2597996 DOI: 10.1136/jmg.2006.048637] [Citation(s) in RCA: 133] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
A novel missense mutation in the mediator of RNA polymerase II transcription subunit 12 (MED12) gene has been found in the original family with Lujan syndrome and in a second family (K9359) that was initially considered to have Opitz-Kaveggia (FG) syndrome. A different missense mutation in the MED12 gene has been reported previously in the original family with FG syndrome and in five other families with compatible clinical findings. Neither sequence alteration has been found in over 1400 control X chromosomes. Lujan (Lujan-Fryns) syndrome is characterised by tall stature with asthenic habitus, macrocephaly, a tall narrow face, maxillary hypoplasia, a high narrow palate with dental crowding, a small or receding chin, long hands with hyperextensible digits, hypernasal speech, hypotonia, mild-to-moderate mental retardation, behavioural aberrations and dysgenesis of the corpus callosum. Although Lujan syndrome has not been previously considered to be in the differential diagnosis of FG syndrome, there are some overlapping clinical manifestations. Specifically, these are dysgenesis of the corpus callosum, macrocephaly/relative macrocephaly, a tall forehead, hypotonia, mental retardation and behavioural disturbances. Thus, it seems that these two X-linked mental retardation syndromes are allelic, with mutations in the MED12 gene.
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Williams MS. Neuropsychological evaluation in Lujan–Fryns syndrome: Commentary and clinical report. Am J Med Genet A 2006; 140:2812-5. [PMID: 17103446 DOI: 10.1002/ajmg.a.31501] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Marc S Williams
- Clinical Genetics Institute Intermountain Healthcare, Salt Lake City, Utah, USA.
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