1
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Ha T, Morgan A, Bartos MN, Beatty K, Cogné B, Braun D, Gerber CB, Gaspar H, Kopps AM, Rieubland C, Hurst ACE, Amor DJ, Nizon M, Pasquier L, Pfundt R, Reis A, Siu VM, Tessarech M, Thompson ML, Vincent M, de Vries BBA, Walsh MB, Wechsler SB, Zweier C, Schnur RE, Guillen Sacoto MJ, Margot H, Masotto B, Palafoll MIV, Nawaz U, Voineagu I, Slavotinek A. De novo variants predicting haploinsufficiency for DIP2C are associated with expressive speech delay. Am J Med Genet A 2024; 194:e63559. [PMID: 38421105 PMCID: PMC11161320 DOI: 10.1002/ajmg.a.63559] [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: 10/17/2023] [Revised: 12/16/2023] [Accepted: 01/04/2024] [Indexed: 03/02/2024]
Abstract
The disconnected (disco)-interacting protein 2 (DIP2) gene was first identified in D. melanogaster and contains a DNA methyltransferase-associated protein 1 (DMAP1) binding domain, Acyl-CoA synthetase domain and AMP-binding sites. DIP2 regulates axonal bifurcation of the mushroom body neurons in D. melanogaster and is required for axonal regeneration in the neurons of C. elegans. The DIP2 homologues in vertebrates, Disco-interacting protein 2 homolog A (DIP2A), Disco-interacting protein 2 homolog B (DIP2B), and Disco-interacting protein 2 homolog C (DIP2C), are highly conserved and expressed widely in the central nervous system. Although there is evidence that DIP2C plays a role in cognition, reports of pathogenic variants in these genes are rare and their significance is uncertain. We present 23 individuals with heterozygous DIP2C variants, all manifesting developmental delays that primarily affect expressive language and speech articulation. Eight patients had de novo variants predicting loss-of-function in the DIP2C gene, two patients had de novo missense variants, three had paternally inherited loss of function variants and six had maternally inherited loss-of-function variants, while inheritance was unknown for four variants. Four patients had cardiac defects (hypertrophic cardiomyopathy, atrial septal defects, and bicuspid aortic valve). Minor facial anomalies were inconsistent but included a high anterior hairline with a long forehead, broad nasal tip, and ear anomalies. Brainspan analysis showed elevated DIP2C expression in the human neocortex at 10-24 weeks after conception. With the cases presented herein, we provide phenotypic and genotypic data supporting the association between loss-of-function variants in DIP2C with a neurocognitive phenotype.
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Affiliation(s)
- Thoa Ha
- Division of Medical Genetics, Department of Pediatrics, University of California, San Francisco, San Francisco, USA
| | - Angela Morgan
- Murdoch Children's Research Institute, Parkville, Victoria, Australia
- University of Melbourne, Parkville, Victoria, Australia
- Royal Children's Hospital, Parkville, Victoria, Australia
| | - Meghan N Bartos
- Department of Genetics, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Katelyn Beatty
- Division of Human Genetics, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Benjamin Cogné
- CHU Nantes, Service de Génétique Médicale, L'institut du Thorax, University Nantes, Nantes, France
| | - Dominique Braun
- Department of Human Genetics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Céline B Gerber
- Department of Human Genetics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Harald Gaspar
- Department of Human Genetics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Anna M Kopps
- Department of Human Genetics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Claudine Rieubland
- Department of Human Genetics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Anna C E Hurst
- Department of Genetics, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - David J Amor
- Murdoch Children's Research Institute, Parkville, Victoria, Australia
- University of Melbourne, Parkville, Victoria, Australia
- Royal Children's Hospital, Parkville, Victoria, Australia
| | - Mathilde Nizon
- CHU Nantes, Service de Génétique Médicale, L'institut du Thorax, University Nantes, Nantes, France
| | | | - Rolph Pfundt
- Department of Human Genetics, Radboud University Medical Center and Donders Institute for Brain, Cognition and Behavior, Nijmegen, The Netherlands
| | - André Reis
- Institute of Human Genetics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
- Centre for Rare Diseases Erlangen (ZSEER), Erlangen, Germany
| | - Victoria Mok Siu
- London Health Sciences Center and Department of Pediatrics, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Marine Tessarech
- Department of Biochemistry and Genetics, Angers University Hospital, Angers, France
| | | | - Marie Vincent
- CHU Nantes, Service de Génétique Médicale, L'institut du Thorax, University Nantes, Nantes, France
| | - Bert B A de Vries
- Department of Human Genetics, Radboud University Medical Center and Donders Institute for Brain, Cognition and Behavior, Nijmegen, The Netherlands
| | | | - Stephanie Burns Wechsler
- Departments of Pediatrics and Human Genetics, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Christiane Zweier
- Department of Human Genetics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Institute of Human Genetics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | | | | | - Henri Margot
- Université Bordeaux, MRGM INSERM U1211, CHU de Bordeaux, Service de Génétique Médicale, Bordeaux, France
| | - Barbara Masotto
- Hospital Universitari Vall d'Hebron, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain
| | | | - Urwah Nawaz
- Adelaide Medical School and Robinson Research Institute, The University of Adelaide, Adelaide, Australia
| | - Irina Voineagu
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
| | - Anne Slavotinek
- Division of Medical Genetics, Department of Pediatrics, University of California, San Francisco, San Francisco, USA
- Division of Human Genetics, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
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2
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Massier M, Doco-Fenzy M, Egloff M, Le Guillou X, Le Guyader G, Redon S, Benech C, Le Millier K, Uguen K, Ropars J, Sacaze E, Audebert-Bellanger S, Apetrei A, Molin A, Gruchy N, Vincent-Devulder A, Spodenkiewicz M, Jacquin C, Loron G, Thibaud M, Delplancq G, Brisset S, Lesieur-Sebellin M, Malan V, Romana S, Rio M, Marlin S, Amiel J, Marquet V, Dauriat B, Moradkhani K, Mercier S, Isidor B, Arpin S, Pujalte M, Jedraszak G, Pebrel-Richard C, Salaun G, Laffargue F, Boudjarane J, Missirian C, Chelloug N, Toutain A, Chiesa J, Keren B, Mignot C, Gouy E, Jaillard S, Landais E, Poirsier C. 3q29 duplications: A cohort of 46 patients and a literature review. Am J Med Genet A 2024; 194:e63531. [PMID: 38421086 DOI: 10.1002/ajmg.a.63531] [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: 09/20/2023] [Revised: 12/15/2023] [Accepted: 12/22/2023] [Indexed: 03/02/2024]
Abstract
Duplications of the 3q29 cytoband are rare chromosomal copy number variations (CNVs) (overlapping or recurrent ~1.6 Mb 3q29 duplications). They have been associated with highly variable neurodevelopmental disorders (NDDs) with various associated features or reported as a susceptibility factor to the development of learning disabilities and neuropsychiatric disorders. The smallest region of overlap and the phenotype of 3q29 duplications remain uncertain. We here report a French cohort of 31 families with a 3q29 duplication identified by chromosomal microarray analysis (CMA), including 14 recurrent 1.6 Mb duplications, eight overlapping duplications (>1 Mb), and nine small duplications (<1 Mb). Additional genetic findings that may be involved in the phenotype were identified in 11 patients. Focusing on apparently isolated 3q29 duplications, patients present mainly mild NDD as suggested by a high rate of learning disabilities in contrast to a low proportion of patients with intellectual disabilities. Although some are de novo, most of the 3q29 duplications are inherited from a parent with a similar mild phenotype. Besides, the study of small 3q29 duplications does not provide evidence for any critical region. Our data suggest that the overlapping and recurrent 3q29 duplications seem to lead to mild NDD and that a severe or syndromic clinical presentation should warrant further genetic analyses.
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Affiliation(s)
- Marie Massier
- Department of Genetics, Reims University Hospital, Reims, France
| | - Martine Doco-Fenzy
- Department of Genetics, Reims University Hospital, Reims, France
- Department of Genetics, Nantes University Hospital, Nantes, France
| | - Matthieu Egloff
- Department of Genetics, Poitiers University Hospital, Poitiers, France
- University of Poitiers, INSERM, LNEC, Department of Genetics, Poitiers University Hospital, Poitiers, France
| | - Xavier Le Guillou
- Department of Genetics, Poitiers University Hospital, Poitiers, France
- University of Poitiers, CNRS, LMA, Department of Genetics, Poitiers University Hospital, Poitiers, France
| | | | - Sylvia Redon
- Department of Genetics, Brest University Hospital, Brest, France
- Intellectual Disability Reference Center, Department of Pediatrics, Brest University Hospital, Brest, France
- University of Brest, Inserm, EFS, UMR 1078, GGB, Brest, France
| | - Caroline Benech
- University of Brest, Inserm, EFS, UMR 1078, GGB, Brest, France
| | | | - Kevin Uguen
- Department of Genetics, Brest University Hospital, Brest, France
- Intellectual Disability Reference Center, Department of Pediatrics, Brest University Hospital, Brest, France
- University of Brest, Inserm, EFS, UMR 1078, GGB, Brest, France
| | - Juliette Ropars
- Intellectual Disability Reference Center, Department of Pediatrics, Brest University Hospital, Brest, France
| | - Elise Sacaze
- Intellectual Disability Reference Center, Department of Pediatrics, Brest University Hospital, Brest, France
| | - Séverine Audebert-Bellanger
- Department of Genetics, Brest University Hospital, Brest, France
- Intellectual Disability Reference Center, Department of Pediatrics, Brest University Hospital, Brest, France
| | - Andreea Apetrei
- University of Normandy, UNICAEN, RU7450 BioTARGen, Caen University Hospital, Department of Genetics, Reference Center for Developmental Disorders and Malformative Syndromes, Anddi-Rares Network, Caen, France
| | - Arnaud Molin
- University of Normandy, UNICAEN, RU7450 BioTARGen, Caen University Hospital, Department of Genetics, Reference Center for Developmental Disorders and Malformative Syndromes, Anddi-Rares Network, Caen, France
| | - Nicolas Gruchy
- University of Normandy, UNICAEN, RU7450 BioTARGen, Caen University Hospital, Department of Genetics, Reference Center for Developmental Disorders and Malformative Syndromes, Anddi-Rares Network, Caen, France
| | - Aline Vincent-Devulder
- University of Normandy, UNICAEN, RU7450 BioTARGen, Caen University Hospital, Department of Genetics, Reference Center for Developmental Disorders and Malformative Syndromes, Anddi-Rares Network, Caen, France
| | | | - Clémence Jacquin
- Department of Genetics, Reims University Hospital, Reims, France
| | - Gauthier Loron
- Department of Neonatal Medicine and Pediatric Intensive Care, University of Reims Champagne-Ardenne, CReSTIC, Reims University Hospital, Reims, France
| | - Marie Thibaud
- Department of Pediatrics, American Memorial Hospital, Reims, France
| | | | - Sophie Brisset
- Constitutional Genetics Unit, Versailles Hospital, Le Chesnay, France
| | - Marion Lesieur-Sebellin
- Department of Genomic Medicine of Rare Disorders, Necker Hospital, APHP Center, University Paris Cité, Paris, France
| | - Valérie Malan
- Department of Genomic Medicine of Rare Disorders, Necker Hospital, APHP Center, University Paris Cité, Paris, France
| | - Serge Romana
- Department of Genomic Medicine of Rare Disorders, Necker Hospital, APHP Center, University Paris Cité, Paris, France
| | - Marlène Rio
- Department of Genomic Medicine of Rare Disorders, Necker Hospital, APHP Center, University Paris Cité, Paris, France
| | - Sandrine Marlin
- Department of Genomic Medicine of Rare Disorders, Necker Hospital, APHP Center, University Paris Cité, Paris, France
| | - Jeanne Amiel
- Department of Genomic Medicine of Rare Disorders, Necker Hospital, APHP Center, University Paris Cité, Paris, France
| | - Valentine Marquet
- Department of Cytogenetics, Clinical Genetics and Reproductive Biology, Limoges University Hospital, Limoges, France
| | - Benjamin Dauriat
- Department of Cytogenetics, Clinical Genetics and Reproductive Biology, Limoges University Hospital, Limoges, France
| | | | - Sandra Mercier
- Department of Genetics, Nantes University Hospital, Nantes, France
| | - Bertrand Isidor
- Department of Genetics, Nantes University Hospital, Nantes, France
| | - Stéphanie Arpin
- Department of Genetics, Tours University Hospital, UMR 1253, iBrain, University of Tours, Inserm, Tours, France
| | | | - Guillaume Jedraszak
- Constitutional Genetic Laboratory, University Hospital of Amiens & UR4666 HEMATIM, University of Picardie Jules Verne, Amiens, France
| | - Céline Pebrel-Richard
- Cytogenetic Medical Department; UIC Cytogenetics of Rare Diseases and Reproduction (GRUIC ADERGEN), Rare Diseases Reference Center (CRMR): Developmental Anomalies and Malformative Syndromes in the Auvergne Region, Clermont-Ferrand University Hospital, Clermont-Ferrand, France
| | - Gaëlle Salaun
- Cytogenetic Medical Department; UIC Cytogenetics of Rare Diseases and Reproduction (GRUIC ADERGEN), Rare Diseases Reference Center (CRMR): Developmental Anomalies and Malformative Syndromes in the Auvergne Region, Clermont-Ferrand University Hospital, Clermont-Ferrand, France
| | - Fanny Laffargue
- Department of Medical Genetics, UIC ADDIR (GRIUC ADERGEN), Constitutive Reference Center CLAD South-East: Developmental anomalies and malformative syndromes, Clermont-Ferrand University Hospital, Clermont-Ferrand, France
| | - John Boudjarane
- Medical Genetics Department, Timone Enfants University Hospital, Assistance Publique des Hôpitaux de Marseille, Marseille, France
| | - Chantal Missirian
- Medical Genetics Department, Timone Enfants University Hospital, Assistance Publique des Hôpitaux de Marseille, Marseille, France
| | - Nora Chelloug
- Department of Medical Genetics, Toulouse University Hospital, Toulouse, France
| | - Annick Toutain
- Department of Genetics, Tours University Hospital, UMR 1253, iBrain, University of Tours, Inserm, Tours, France
| | - Jean Chiesa
- Department of Genetics, Nimes, University Hospital, Nimes University Hospital, Nimes, France
| | - Boris Keren
- Department of Genetics, APHP Sorbonne University, Paris, France
| | - Cyril Mignot
- Department of Genetics, APHP Sorbonne University, Paris, France
| | - Evan Gouy
- Department of Genetics, Hospices Civils de Lyon, Lyon, France
| | - Sylvie Jaillard
- Department of Cytogenetics and Cell Biology, Rennes university hospital, Rennes, France
| | - Emilie Landais
- Department of Genetics, Reims University Hospital, Reims, France
| | - Céline Poirsier
- Department of Genetics, Reims University Hospital, Reims, France
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3
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Steyaert W, Sagath L, Demidov G, Yépez VA, Esteve-Codina A, Gagneur J, Ellwanger K, Derks R, Weiss M, den Ouden A, van den Heuvel S, Swinkels H, Zomer N, Steehouwer M, O'Gorman L, Astuti G, Neveling K, Schüle R, Xu J, Synofzik M, Beijer D, Hengel H, Schöls L, Claeys KG, Baets J, Van de Vondel L, Ferlini A, Selvatici R, Morsy H, Saeed Abd Elmaksoud M, Straub V, Müller J, Pini V, Perry L, Sarkozy A, Zaharieva I, Muntoni F, Bugiardini E, Polavarapu K, Horvath R, Reid E, Lochmüller H, Spinazzi M, Savarese M, Matalonga L, Laurie S, Brunner HG, Graessner H, Beltran S, Ossowski S, Vissers LELM, Gilissen C, Hoischen A. Unravelling undiagnosed rare disease cases by HiFi long-read genome sequencing. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.05.03.24305331. [PMID: 38746462 PMCID: PMC11092722 DOI: 10.1101/2024.05.03.24305331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
Solve-RD is a pan-European rare disease (RD) research program that aims to identify disease-causing genetic variants in previously undiagnosed RD families. We utilised 10-fold coverage HiFi long-read sequencing (LRS) for detecting causative structural variants (SVs), single nucleotide variants (SNVs), insertion-deletions (InDels), and short tandem repeat (STR) expansions in extensively studied RD families without clear molecular diagnoses. Our cohort includes 293 individuals from 114 genetically undiagnosed RD families selected by European Rare Disease Network (ERN) experts. Of these, 21 families were affected by so-called 'unsolvable' syndromes for which genetic causes remain unknown, and 93 families with at least one individual affected by a rare neurological, neuromuscular, or epilepsy disorder without genetic diagnosis despite extensive prior testing. Clinical interpretation and orthogonal validation of variants in known disease genes yielded thirteen novel genetic diagnoses due to de novo and rare inherited SNVs, InDels, SVs, and STR expansions. In an additional four families, we identified a candidate disease-causing SV affecting several genes including an MCF2 / FGF13 fusion and PSMA3 deletion. However, no common genetic cause was identified in any of the 'unsolvable' syndromes. Taken together, we found (likely) disease-causing genetic variants in 13.0% of previously unsolved families and additional candidate disease-causing SVs in another 4.3% of these families. In conclusion, our results demonstrate the added value of HiFi long-read genome sequencing in undiagnosed rare diseases.
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4
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Kingdom R, Beaumont RN, Wood AR, Weedon MN, Wright CF. Genetic modifiers of rare variants in monogenic developmental disorder loci. Nat Genet 2024; 56:861-868. [PMID: 38637616 PMCID: PMC11096126 DOI: 10.1038/s41588-024-01710-0] [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: 12/07/2022] [Accepted: 03/06/2024] [Indexed: 04/20/2024]
Abstract
Rare damaging variants in a large number of genes are known to cause monogenic developmental disorders (DDs) and have also been shown to cause milder subclinical phenotypes in population cohorts. Here, we show that carrying multiple (2-5) rare damaging variants across 599 dominant DD genes has an additive adverse effect on numerous cognitive and socioeconomic traits in UK Biobank, which can be partially counterbalanced by a higher educational attainment polygenic score (EA-PGS). Phenotypic deviators from expected EA-PGS could be partly explained by the enrichment or depletion of rare DD variants. Among carriers of rare DD variants, those with a DD-related clinical diagnosis had a substantially lower EA-PGS and more severe phenotype than those without a clinical diagnosis. Our results suggest that the overall burden of both rare and common variants can modify the expressivity of a phenotype, which may then influence whether an individual reaches the threshold for clinical disease.
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Affiliation(s)
- Rebecca Kingdom
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Royal Devon & Exeter Hospital, Exeter, UK
| | - Robin N Beaumont
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Royal Devon & Exeter Hospital, Exeter, UK
| | - Andrew R Wood
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Royal Devon & Exeter Hospital, Exeter, UK
| | - Michael N Weedon
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Royal Devon & Exeter Hospital, Exeter, UK
| | - Caroline F Wright
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Royal Devon & Exeter Hospital, Exeter, UK.
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5
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Kendall KM, Duffin D, Doherty J, Irving R, Procter A, Walters JTR. The translation of psychiatric genetic findings to the clinic. Schizophr Res 2024; 267:470-472. [PMID: 37919212 DOI: 10.1016/j.schres.2023.10.024] [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: 06/29/2023] [Revised: 10/06/2023] [Accepted: 10/24/2023] [Indexed: 11/04/2023]
Abstract
Mental health and neurodevelopmental disorders are highly heritable and can affect morbidity and mortality. A large, growing body of evidence has implicated both common and rare variation in the risk of these disorders. Testing for rare variants, such as copy number variants, has been available in clinical practice for some time in the context of developmental disorders. However, until recently, individuals with mental health and neurodevelopmental disorders in the UK have not tended to access genetic counselling and testing. Here, we describe the development of the All Wales Psychiatric Genomics Service, a collaborative effort between psychiatric and clinical genetics services and the first of its kind in the UK. We provide an overview of the structure and function of the service, our referral criteria, a summary of the 40 referrals we have received to date and our future plans.
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Affiliation(s)
- Kimberley Marie Kendall
- Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Hadyn Ellis Building, Maindy Road, Cardiff CF24 4HQ, United Kingdom.
| | - Donna Duffin
- All Wales Medical Genomics Service, Heath Park, Cardiff CF14 4XW, United Kingdom.
| | - Joanne Doherty
- Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Hadyn Ellis Building, Maindy Road, Cardiff CF24 4HQ, United Kingdom.
| | - Rachel Irving
- All Wales Medical Genomics Service, Heath Park, Cardiff CF14 4XW, United Kingdom.
| | - Annie Procter
- All Wales Medical Genomics Service, Heath Park, Cardiff CF14 4XW, United Kingdom
| | - James Tynan Rhys Walters
- Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Hadyn Ellis Building, Maindy Road, Cardiff CF24 4HQ, United Kingdom.
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6
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Errichiello E, Lecca M, Vantaggiato C, Motta Z, Zanotta N, Zucca C, Bertuzzo S, Piubelli L, Pollegioni L, Bonaglia MC. Further evidence supporting the role of GTDC1 in glycine metabolism and neurodevelopmental disorders. Eur J Hum Genet 2024:10.1038/s41431-024-01603-0. [PMID: 38605125 DOI: 10.1038/s41431-024-01603-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 02/16/2024] [Accepted: 03/21/2024] [Indexed: 04/13/2024] Open
Abstract
Copy number variants (CNVs) represent the genetic cause of about 15-20% of neurodevelopmental disorders (NDDs). We identified a ~67 kb de novo intragenic deletion on chromosome 2q22.3 in a female individual showing a developmental encephalopathy characterised by epilepsy, severe intellectual disability, speech delay, microcephaly, and thin corpus callosum with facial dysmorphisms. The microdeletion involved exons 5-6 of GTDC1, encoding a putative glycosyltransferase, whose expression is particularly enriched in the nervous system. In a previous study, a balanced de novo translocation encompassing GTDC1 was reported in a male child with global developmental delay and delayed speech and language development. Based on these premises, we explored the transcriptomic profile of our proband to evaluate the functional consequences of the novel GTDC1 de novo intragenic deletion in relation to the observed neurodevelopmental phenotype. RNA-seq on the proband's lymphoblastoid cell line (LCL) showed expression changes of glycine/serine and cytokine/chemokine signalling pathways, which are related to neurodevelopment and epileptogenesis. Subsequent analysis by ELISA (enzyme-linked immunosorbent assay) and HPLC (high-performance liquid chromatography) revealed increased levels of glycine in the proband's LCL and serum compared to matched controls. Given that an increased level of glycine has been observed in the plasma samples of individuals with Rett syndrome, a condition sharing epilepsy, microcephaly, and intellectual disability with our proband, we proposed that the GTDC1 downregulation is implicated in neurodevelopmental impairment by altering glycine metabolism. Furthermore, our findings expanded the phenotypic spectrum of the novel GTDC1-related condition, including microcephaly and epilepsy among relevant clinical features.
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Affiliation(s)
- Edoardo Errichiello
- Unit of Medical Genetics, Department of Molecular Medicine, University of Pavia, Pavia, Italy.
- Neurogenetics Research Center, IRCCS Mondino Foundation, Pavia, Italy.
| | - Mauro Lecca
- Unit of Medical Genetics, Department of Molecular Medicine, University of Pavia, Pavia, Italy
| | - Chiara Vantaggiato
- Laboratory of Molecular Biology, IRCCS E. Medea, Bosisio Parini, Lecco, Italy
| | - Zoraide Motta
- Department of Biotechnology and Life Sciences, University of Insubria, Varese, Italy
| | - Nicoletta Zanotta
- Unit of Clinical Neurophysiology and Epilepsy Centre, IRCCS E. Medea, Bosisio Parini, Lecco, Italy
| | - Claudio Zucca
- Unit of Clinical Neurophysiology and Epilepsy Centre, IRCCS E. Medea, Bosisio Parini, Lecco, Italy
| | - Sara Bertuzzo
- Laboratory of Cytogenetics, IRCCS E. Medea, Bosisio Parini, Lecco, Italy
| | - Luciano Piubelli
- Department of Biotechnology and Life Sciences, University of Insubria, Varese, Italy
| | - Loredano Pollegioni
- Department of Biotechnology and Life Sciences, University of Insubria, Varese, Italy
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7
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Burghel GJ, Ellingford JM, Wright R, Bradford L, Miller J, Watt C, Edgerley J, Naeem F, Banka S. Systematic reanalysis of copy number losses of uncertain clinical significance. J Med Genet 2024:jmg-2023-109559. [PMID: 38604752 DOI: 10.1136/jmg-2023-109559] [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: 10/12/2023] [Accepted: 03/28/2024] [Indexed: 04/13/2024]
Abstract
BACKGROUND Reanalysis of exome/genome data improves diagnostic yield. However, the value of reanalysis of clinical array comparative genomic hybridisation (aCGH) data has never been investigated. Case-by-case reanalysis can be challenging in busy diagnostic laboratories. METHODS AND RESULTS We harmonised historical postnatal clinical aCGH results from ~16 000 patients tested via our diagnostic laboratory over ~7 years with current clinical guidance. This led to identification of 37 009 copy number losses (CNLs) including 33 857 benign, 2173 of uncertain significance and 979 pathogenic. We found benign CNLs to be significantly less likely to encompass haploinsufficient genes compared with the pathogenic or CNLs of uncertain significance in our database. Based on this observation, we developed a reanalysis pipeline using up-to-date disease association data and haploinsufficiency scores and shortlisted 207 CNLs of uncertain significance encompassing at least one autosomal dominant disease-gene associated with haploinsufficiency or loss-of-function mechanism. Clinical scientist reviews led to reclassification of 15 CNLs of uncertain significance as pathogenic or likely pathogenic. This was ~0.7% of the starting cohort of 2173 CNLs of uncertain significance and 7.2% of 207 shortlisted CNLs. The reclassified CNLs included first cases of CNV-mediated disease for some genes where all previously described cases involved only point variants. Interestingly, some CNLs could not be reclassified because the phenotypes of patients with CNLs seemed distinct from the known clinical features resulting from point variants, thus raising questions about accepted underlying disease mechanisms. CONCLUSIONS Reanalysis of clinical aCGH data increases diagnostic yield.
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Affiliation(s)
- George J Burghel
- Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, UK
- Division of Evolution, Infection and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Jamie M Ellingford
- Division of Evolution, Infection and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Ronnie Wright
- Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, UK
| | - Lauren Bradford
- Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, UK
| | - Jake Miller
- Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, UK
| | - Christopher Watt
- Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, UK
| | - Jonathan Edgerley
- Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, UK
| | - Farah Naeem
- Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, UK
| | - Siddharth Banka
- Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, UK
- Division of Evolution, Infection and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
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8
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Ansari M, Faour KNW, Shimamura A, Grimes G, Kao EM, Denhoff ER, Blatnik A, Ben-Isvy D, Wang L, Helm BM, Firth H, Breman AM, Bijlsma EK, Iwata-Otsubo A, de Ravel TJL, Fusaro V, Fryer A, Nykamp K, Stühn LG, Haack TB, Korenke GC, Constantinou P, Bujakowska KM, Low KJ, Place E, Humberson J, Napier MP, Hoffman J, Juusola J, Deardorff MA, Shao W, Rockowitz S, Krantz I, Kaur M, Raible S, Dortenzio V, Kliesch S, Singer-Berk M, Groopman E, DiTroia S, Ballal S, Srivastava S, Rothfelder K, Biskup S, Rzasa J, Kerkhof J, McConkey H, Sadikovic B, Hilton S, Banka S, Tüttelmann F, Conrad DF, O'Donnell-Luria A, Talkowski ME, FitzPatrick DR, Boone PM. Heterozygous loss-of-function SMC3 variants are associated with variable growth and developmental features. HGG ADVANCES 2024; 5:100273. [PMID: 38297832 PMCID: PMC10876629 DOI: 10.1016/j.xhgg.2024.100273] [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: 11/08/2023] [Revised: 01/23/2024] [Accepted: 01/23/2024] [Indexed: 02/02/2024] Open
Abstract
Heterozygous missense variants and in-frame indels in SMC3 are a cause of Cornelia de Lange syndrome (CdLS), marked by intellectual disability, growth deficiency, and dysmorphism, via an apparent dominant-negative mechanism. However, the spectrum of manifestations associated with SMC3 loss-of-function variants has not been reported, leading to hypotheses of alternative phenotypes or even developmental lethality. We used matchmaking servers, patient registries, and other resources to identify individuals with heterozygous, predicted loss-of-function (pLoF) variants in SMC3, and analyzed population databases to characterize mutational intolerance in this gene. Here, we show that SMC3 behaves as an archetypal haploinsufficient gene: it is highly constrained against pLoF variants, strongly depleted for missense variants, and pLoF variants are associated with a range of developmental phenotypes. Among 14 individuals with SMC3 pLoF variants, phenotypes were variable but coalesced on low growth parameters, developmental delay/intellectual disability, and dysmorphism, reminiscent of atypical CdLS. Comparisons to individuals with SMC3 missense/in-frame indel variants demonstrated an overall milder presentation in pLoF carriers. Furthermore, several individuals harboring pLoF variants in SMC3 were nonpenetrant for growth, developmental, and/or dysmorphic features, and some had alternative symptomatologies with rational biological links to SMC3. Analyses of tumor and model system transcriptomic data and epigenetic data in a subset of cases suggest that SMC3 pLoF variants reduce SMC3 expression but do not strongly support clustering with functional genomic signatures of typical CdLS. Our finding of substantial population-scale LoF intolerance in concert with variable growth and developmental features in subjects with SMC3 pLoF variants expands the scope of cohesinopathies, informs on their allelic architecture, and suggests the existence of additional clearly LoF-constrained genes whose disease links will be confirmed only by multilayered genomic data paired with careful phenotyping.
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Affiliation(s)
- Morad Ansari
- South East Scotland Genetic Service, Western General Hospital, Edinburgh, UK; MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Kamli N W Faour
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, USA; Cornelia de Lange Syndrome and Related Disorders Clinic, Boston Children's Hospital, Boston, MA, USA
| | - Akiko Shimamura
- Division of Hematology and Oncology, Boston Children's Hospital, Boston, MA, USA
| | - Graeme Grimes
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Emeline M Kao
- Institutional Centers for Clinical and Translational Research, Boston Children's Hospital, Boston, MA, USA
| | - Erica R Denhoff
- Institutional Centers for Clinical and Translational Research, Boston Children's Hospital, Boston, MA, USA
| | - Ana Blatnik
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK; Department of Clinical Cancer Genetics, Institute of Oncology Ljubljana, Ljubljana, Slovenia
| | - Daniel Ben-Isvy
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Division of Medical Sciences, Harvard Medical School, Boston, MA, USA
| | - Lily Wang
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Division of Medical Sciences, Harvard Medical School, Boston, MA, USA
| | - Benjamin M Helm
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Helen Firth
- Clinical Genetics, Addenbrooke's Hospital, Cambridge University Hospitals, Cambridge, UK
| | - Amy M Breman
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Emilia K Bijlsma
- Department of Clinical Genetics, Leiden University Medical Centre, Leiden, the Netherlands
| | - Aiko Iwata-Otsubo
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Thomy J L de Ravel
- Centre for Human Genetics, UZ Leuven/Leuven University Hospitals, Leuven, Belgium
| | | | - Alan Fryer
- Department of Clinical Genetics, Alder Hey Children's Hospital Liverpool, Liverpool, UK
| | | | - Lara G Stühn
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
| | - Tobias B Haack
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
| | - G Christoph Korenke
- Department of Neuropaediatric and Metabolic Diseases, University Children's Hospital Oldenburg, Oldenburg, Germany
| | - Panayiotis Constantinou
- West of Scotland Centre for Genomic Medicine, Queen Elizabeth University Hospital, Glasgow, UK
| | | | - Karen J Low
- University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK; University of Bristol, Bristol, UK
| | - Emily Place
- Massachusetts Eye and Ear Infirmary, Boston, MA, USA
| | | | | | | | | | - Matthew A Deardorff
- Departments of Pathology and Pediatrics, Children's Hospital Los Angeles and University of Southern California, Los Angeles, CA, USA
| | - Wanqing Shao
- Research Computing, Information Technology, Boston Children's Hospital, Boston, MA, USA
| | - Shira Rockowitz
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, USA; Research Computing, Information Technology, Boston Children's Hospital, Boston, MA, USA; The Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, MA, USA
| | - Ian Krantz
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Maninder Kaur
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Sarah Raible
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | | | - Sabine Kliesch
- Department of Clinical and Surgical Andrology, Centre of Reproductive Medicine and Andrology, University Hospital Münster, Münster, Germany
| | - Moriel Singer-Berk
- Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Emily Groopman
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, USA; Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Stephanie DiTroia
- Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Sonia Ballal
- Cornelia de Lange Syndrome and Related Disorders Clinic, Boston Children's Hospital, Boston, MA, USA; Division of Gastroenterology, Boston Children's Hospital, Boston, MA, USA
| | - Siddharth Srivastava
- Cornelia de Lange Syndrome and Related Disorders Clinic, Boston Children's Hospital, Boston, MA, USA; Divison of Neurology, Boston Children's Hospital, Boston, MA, USA
| | | | - Saskia Biskup
- Zentrum für Humangenetik, Tübingen, Germany; Center for Genomics and Transcriptomics (CeGaT), Tübingen, Germany
| | - Jessica Rzasa
- Molecular Diagnostics Program and Verspeeten Clinical Genome Centre, London Health Sciences Centre, London, ON, Canada
| | - Jennifer Kerkhof
- Molecular Diagnostics Program and Verspeeten Clinical Genome Centre, London Health Sciences Centre, London, ON, Canada
| | - Haley McConkey
- Molecular Diagnostics Program and Verspeeten Clinical Genome Centre, London Health Sciences Centre, London, ON, Canada
| | - Bekim Sadikovic
- Molecular Diagnostics Program and Verspeeten Clinical Genome Centre, London Health Sciences Centre, London, ON, Canada
| | - Sarah Hilton
- Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Health Innovation Manchester, Manchester, UK
| | - Siddharth Banka
- Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Health Innovation Manchester, Manchester, UK; Division of Evolution, Infection, and Genomics, School of Biological Sciences, Faculty of Biology, Medicine, and Health, University of Manchester, Manchester, UK
| | - Frank Tüttelmann
- Institute of Reproductive Genetics, University of Münster, Münster, Germany
| | - Donald F Conrad
- Division of Genetics, Oregon National Primate Research Center, Oregon Health and Science University, Portland, OR, USA; Center for Embryonic Cell and Gene Therapy, Oregon Health and Science University, Portland, OR, USA
| | - Anne O'Donnell-Luria
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Michael E Talkowski
- Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - David R FitzPatrick
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Philip M Boone
- Cornelia de Lange Syndrome and Related Disorders Clinic, Boston Children's Hospital, Boston, MA, USA; Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA.
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9
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Kopal J, Kumar K, Shafighi K, Saltoun K, Modenato C, Moreau CA, Huguet G, Jean-Louis M, Martin CO, Saci Z, Younis N, Douard E, Jizi K, Beauchamp-Chatel A, Kushan L, Silva AI, van den Bree MBM, Linden DEJ, Owen MJ, Hall J, Lippé S, Draganski B, Sønderby IE, Andreassen OA, Glahn DC, Thompson PM, Bearden CE, Zatorre R, Jacquemont S, Bzdok D. Using rare genetic mutations to revisit structural brain asymmetry. Nat Commun 2024; 15:2639. [PMID: 38531844 PMCID: PMC10966068 DOI: 10.1038/s41467-024-46784-w] [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: 05/22/2023] [Accepted: 03/11/2024] [Indexed: 03/28/2024] Open
Abstract
Asymmetry between the left and right hemisphere is a key feature of brain organization. Hemispheric functional specialization underlies some of the most advanced human-defining cognitive operations, such as articulated language, perspective taking, or rapid detection of facial cues. Yet, genetic investigations into brain asymmetry have mostly relied on common variants, which typically exert small effects on brain-related phenotypes. Here, we leverage rare genomic deletions and duplications to study how genetic alterations reverberate in human brain and behavior. We designed a pattern-learning approach to dissect the impact of eight high-effect-size copy number variations (CNVs) on brain asymmetry in a multi-site cohort of 552 CNV carriers and 290 non-carriers. Isolated multivariate brain asymmetry patterns spotlighted regions typically thought to subserve lateralized functions, including language, hearing, as well as visual, face and word recognition. Planum temporale asymmetry emerged as especially susceptible to deletions and duplications of specific gene sets. Targeted analysis of common variants through genome-wide association study (GWAS) consolidated partly diverging genetic influences on the right versus left planum temporale structure. In conclusion, our gene-brain-behavior data fusion highlights the consequences of genetically controlled brain lateralization on uniquely human cognitive capacities.
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Affiliation(s)
- Jakub Kopal
- Mila - Québec Artificial Intelligence Institute, Montréal, QC, Canada
- Department of Biomedical Engineering, Faculty of Medicine, McGill University, Montreal, Canada
| | - Kuldeep Kumar
- Centre de recherche CHU Sainte-Justine, Montréal, Quebec, Canada
| | - Kimia Shafighi
- Mila - Québec Artificial Intelligence Institute, Montréal, QC, Canada
- Department of Biomedical Engineering, Faculty of Medicine, McGill University, Montreal, Canada
| | - Karin Saltoun
- Mila - Québec Artificial Intelligence Institute, Montréal, QC, Canada
- Department of Biomedical Engineering, Faculty of Medicine, McGill University, Montreal, Canada
| | - Claudia Modenato
- LREN - Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - Clara A Moreau
- Imaging Genetics Center, Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA
| | - Guillaume Huguet
- Centre de recherche CHU Sainte-Justine, Montréal, Quebec, Canada
| | | | | | - Zohra Saci
- Centre de recherche CHU Sainte-Justine, Montréal, Quebec, Canada
| | - Nadine Younis
- Centre de recherche CHU Sainte-Justine, Montréal, Quebec, Canada
| | - Elise Douard
- Centre de recherche CHU Sainte-Justine, Montréal, Quebec, Canada
| | - Khadije Jizi
- Centre de recherche CHU Sainte-Justine, Montréal, Quebec, Canada
| | - Alexis Beauchamp-Chatel
- Institut universitaire en santé mentale de Montréal, University of Montréal, Montréal, Canada
- Department of Psychiatry, University of Montreal, Montréal, Canada
| | - Leila Kushan
- Semel Institute for Neuroscience and Human Behavior, Departments of Psychiatry and Biobehavioral Sciences and Psychology, UCLA, Los Angeles, USA
| | - Ana I Silva
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
- Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Marianne B M van den Bree
- Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
- Neuroscience and Mental Health Innovation Institute, Cardiff University, Cardiff, UK
| | - David E J Linden
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
- Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- Neuroscience and Mental Health Innovation Institute, Cardiff University, Cardiff, UK
| | - Michael J Owen
- Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Jeremy Hall
- Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Sarah Lippé
- Centre de recherche CHU Sainte-Justine, Montréal, Quebec, Canada
| | - Bogdan Draganski
- LREN - Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
- Neurology Department, Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Ida E Sønderby
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
| | - Ole A Andreassen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
| | - David C Glahn
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
| | - Paul M Thompson
- Imaging Genetics Center, Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA
| | - Carrie E Bearden
- Semel Institute for Neuroscience and Human Behavior, Departments of Psychiatry and Biobehavioral Sciences and Psychology, UCLA, Los Angeles, USA
| | - Robert Zatorre
- International Laboratory for Brain, Music and Sound Research, Montreal, QC, Canada
- TheNeuro - Montreal Neurological Institute (MNI), McConnell Brain Imaging Centre, Faculty of Medicine, McGill University, Montreal, QC, Canada
| | - Sébastien Jacquemont
- Centre de recherche CHU Sainte-Justine, Montréal, Quebec, Canada
- Department of Pediatrics, University of Montréal, Montréal, Quebec, Canada
| | - Danilo Bzdok
- Mila - Québec Artificial Intelligence Institute, Montréal, QC, Canada.
- Department of Biomedical Engineering, Faculty of Medicine, McGill University, Montreal, Canada.
- TheNeuro - Montreal Neurological Institute (MNI), McConnell Brain Imaging Centre, Faculty of Medicine, McGill University, Montreal, QC, Canada.
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10
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Butter CE, Goldie CL, Hall JH, Leadbitter K, Burkitt EMM, van den Bree MBM, Green JM. Experiences and concerns of parents of children with a 16p11.2 deletion or duplication diagnosis: a reflexive thematic analysis. BMC Psychol 2024; 12:137. [PMID: 38475925 DOI: 10.1186/s40359-024-01609-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 02/19/2024] [Indexed: 03/14/2024] Open
Abstract
BACKGROUND 16p11.2 proximal deletion and duplication syndromes (Break points 4-5) (593KB, Chr16; 29.6-30.2mb - HG38) are observed to have highly varied phenotypes, with a known propensity for lifelong psychiatric problems. This study aimed to contribute to a research gap by qualitatively exploring the challenges families with 16p11.2 deletion and duplication face by answering three research questions: (1) What are parents' perceptions of the ongoing support needs of families with children who have 16p11.2 living in the UK?; (2) What are their experiences in trying to access support?; (3) In these regards, do the experiences of parents of children with duplication converge or vary from those of parents of children with 16p11.2 deletion? METHODS 33 parents with children (aged 7-17 years) with 16p11.2 deletion or duplication participated in structured interviews, including the Autism Diagnostic Interview- Revised (ADI-R). Their answers to the ADI-R question 'what are your current concerns' were transcribed and subsequently analysed using Braun and Clarke's six step reflexive thematic analysis framework. RESULTS Three themes were identified: (1) Child is Behind Peers (subthemes: developmentally; academically; socially; emotionally); (2) Metabolism and Eating Patterns and; (3) Support (subthemes: insufficient support available; parent has to fight to access support; COVID-19 was a barrier to accessing support; 16p11.2 diagnosis can be a barrier to support, child is well-supported). CONCLUSIONS Parents of children with either 16p11.2 deletion or duplication shared similar experiences. However, metabolism concerns were specific to parents of children with 16p11.2 deletion. The theme Child is Behind Peers echoed concerns raised in previous Neurodevelopmental Copy Number Variant research. However, there were some key subthemes relating to research question (2) which were specific to this study. This included parents' descriptions of diagnostic overshadowing and the impact of a lack of eponymous name and scant awareness of 16p11.2.
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Affiliation(s)
- Charlotte E Butter
- Division of Psychology and Mental Health, School of Health Sciences, University of Manchester, Manchester, UK.
| | - Caitlin L Goldie
- Division of Psychology and Mental Health, School of Health Sciences, University of Manchester, Manchester, UK
| | - Jessica H Hall
- Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Kathy Leadbitter
- Division of Psychology and Mental Health, School of Health Sciences, University of Manchester, Manchester, UK
| | - Emma M M Burkitt
- Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, UK
| | - Marianne B M van den Bree
- Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
- Neuroscience and Mental Health Innovation Institute, Cardiff University, Cardiff, UK
- Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Jonathan M Green
- Division of Psychology and Mental Health, School of Health Sciences, University of Manchester, Manchester, UK
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11
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Bui HTP, Huy Do D, Ly HTT, Tran KT, Le HTT, Nguyen KT, Pham LTD, Le HD, Le VS, Mukhopadhyay A, Nguyen LT. De novo copy number variations in candidate genomic regions in patients of severe autism spectrum disorder in Vietnam. PLoS One 2024; 19:e0290936. [PMID: 38451970 PMCID: PMC10919600 DOI: 10.1371/journal.pone.0290936] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 12/09/2023] [Indexed: 03/09/2024] Open
Abstract
Autism spectrum disorder (ASD) is a developmental disorder with a prevalence of around 1% children worldwide and characterized by patient behaviour (communication, social interaction, and personal development). Data on the efficacy of diagnostic tests using copy number variations (CNVs) in candidate genes in ASD is currently around 10% but it is overrepresented by patients of Caucasian background. We report here that the diagnostic success of de novo candidate CNVs in Vietnamese ASD patients is around 6%. We recruited one hundred trios (both parents and a child) where the child was clinically diagnosed with ASD while the parents were not affected. We performed genetic screening to exclude RETT syndrome and Fragile X syndrome and performed genome-wide DNA microarray (aCGH) on all probands and their parents to analyse for de novo CNVs. We detected 1708 non-redundant CNVs in 100 patients and 118 (7%) of them were de novo. Using the filter for known CNVs from the Simons Foundation Autism Research Initiative (SFARI) database, we identified six CNVs (one gain and five loss CNVs) in six patients (3 males and 3 females). Notably, 3 of our patients had a deletion involving the SHANK3 gene-which is the highest compared to previous reports. This is the first report of candidate CNVs in ASD patients from Vietnam and provides the framework for building a CNV based test as the first tier screening for clinical management.
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Affiliation(s)
- Hoa Thi Phuong Bui
- High Technology Center, Vinmec Health Care System, Hai Ba Trung, Ha Noi, Vietnam
- Translational Medicine Laboratory, Biomedical Research Centre, University of Salford, Salford, United Kingdom
| | - Duong Huy Do
- High Technology Center, Vinmec Health Care System, Hai Ba Trung, Ha Noi, Vietnam
| | - Ha Thi Thanh Ly
- High Technology Center, Vinmec Health Care System, Hai Ba Trung, Ha Noi, Vietnam
| | - Kien Trung Tran
- Vinmec Research Institute of Stem Cell and Gene Technology, Vinmec Health Care System, Hai Ba Trung, Ha Noi, Vietnam
| | - Huong Thi Thanh Le
- Vinmec Research Institute of Stem Cell and Gene Technology, Vinmec Health Care System, Hai Ba Trung, Ha Noi, Vietnam
| | - Kien Trung Nguyen
- Vinmec Research Institute of Stem Cell and Gene Technology, Vinmec Health Care System, Hai Ba Trung, Ha Noi, Vietnam
| | - Linh Thi Dieu Pham
- Vinmec Research Institute of Stem Cell and Gene Technology, Vinmec Health Care System, Hai Ba Trung, Ha Noi, Vietnam
| | - Hau Duc Le
- Big Data Institute, Vinmec Health Care System, Hai Ba Trung, Ha Noi, Vietnam
| | - Vinh Sy Le
- Vinmec Research Institute of Stem Cell and Gene Technology, Vinmec Health Care System, Hai Ba Trung, Ha Noi, Vietnam
- University of Engineering and Technology, Vietnam National University Hanoi, Cau Giay, Hanoi, Vietnam
| | - Arijit Mukhopadhyay
- Translational Medicine Laboratory, Biomedical Research Centre, University of Salford, Salford, United Kingdom
| | - Liem Thanh Nguyen
- Vinmec Research Institute of Stem Cell and Gene Technology, Vinmec Health Care System, Hai Ba Trung, Ha Noi, Vietnam
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12
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Bourgois A, Bizaoui V, Colson C, Vincent-Devulder A, Molin A, Gérard M, Gruchy N. Phenotypic and genotypic characterization of 1q21.1 copy number variants: A report of 34 new individuals and literature review. Am J Med Genet A 2024; 194:e63457. [PMID: 37881147 DOI: 10.1002/ajmg.a.63457] [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: 08/16/2022] [Revised: 09/01/2023] [Accepted: 10/12/2023] [Indexed: 10/27/2023]
Abstract
Recurrent 1q21.1 copy number variants (CNVs) have been associated with a wide spectrum of clinical features, ranging from normal phenotype to moderate intellectual disability, with congenital anomalies and dysmorphic features. They are often inherited from unaffected parents and the pathogenicity is difficult to assess. We describe the phenotypic and genotypic data for 34 probands carrying CNVs in the 1q21.1 chromosome region (24 duplications, 8 deletions and 2 triplications). We also reviewed 89 duplications, 114 deletions and 5 triplications described in the literature, at variable 1q21.1 locations. We aimed to identify the most highly associated clinical features to determine the phenotypic expression in affected individuals. Developmental delay or learning disabilities and neuropsychiatric disorders were common in patients with deletions, duplications and triplications of 1q21.1. Mild dysmorphic features common in these CNVs include a prominent forehead, widely spaced eyes and a broad nose. The CNVs were mostly inherited from apparently unaffected parents. Almost half of the CNVs were distal, overlapping with a common minimal region of 1.2 Mb. We delineated the clinical implications of 1q21.1 CNVs and confirmed that these CNVs are likely pathogenic, although subject to incomplete penetrance and variable expressivity. Long-term follow-up should be performed to each newly diagnosed case, and prenatal genetic counseling cautiously discussed, as it remains difficult to predict the phenotype in the event of an antenatal diagnosis.
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Affiliation(s)
- Alexia Bourgois
- Normandy University, UNICAEN, Caen University Hospital, Department of Genetics, UR 7450 BioTARGen, FHU G4 Genomics, Caen, France
| | | | - Cindy Colson
- CHU Lille, University of Lille, EA7364, Lille, France
| | - Aline Vincent-Devulder
- Normandy University, UNICAEN, Caen University Hospital, Department of Genetics, UR 7450 BioTARGen, FHU G4 Genomics, Caen, France
| | - Arnaud Molin
- Normandy University, UNICAEN, Caen University Hospital, Department of Genetics, UR 7450 BioTARGen, FHU G4 Genomics, Caen, France
| | - Marion Gérard
- Normandy University, UNICAEN, Caen University Hospital, Department of Genetics, UR 7450 BioTARGen, FHU G4 Genomics, Caen, France
| | - Nicolas Gruchy
- Normandy University, UNICAEN, Caen University Hospital, Department of Genetics, UR 7450 BioTARGen, FHU G4 Genomics, Caen, France
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13
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Broeckel U, Iqbal MA, Levy B, Sahajpal N, Nagy PL, Scharer G, Rodriguez V, Bossler A, Stence A, Skinner C, Skinner SA, Kolhe R, Stevenson R. Detection of Constitutional Structural Variants by Optical Genome Mapping: A Multisite Study of Postnatal Samples. J Mol Diagn 2024; 26:213-226. [PMID: 38211722 DOI: 10.1016/j.jmoldx.2023.12.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 10/26/2023] [Accepted: 12/14/2023] [Indexed: 01/13/2024] Open
Abstract
Optical genome mapping is a high-resolution technology that can detect all types of structural variations in the genome. This second phase of a multisite study compares the performance of optical genome mapping and current standard-of-care methods for diagnostic testing of individuals with constitutional disorders, including neurodevelopmental impairments and congenital anomalies. Among the 627 analyses in phase 2, 405 were of retrospective samples supplied by five diagnostic centers in the United States and 94 were prospective samples collected over 18 months by two diagnostic centers (June 2021 to October 2022). Additional samples represented a family cohort to determine inheritance (n = 119) and controls (n = 9). Full concordance of results between optical genome mapping and one or more standard-of-care diagnostic tests was 98.6% (618/627), with partial concordance in an additional 1.1% (7/627).
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Affiliation(s)
- Ulrich Broeckel
- Section of Genomic Pediatrics, Department of Pediatrics, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - M Anwar Iqbal
- DNA Microarray CGH Laboratory, Department of Pathology, University of Rochester Medical Center, Rochester, New York
| | - Brynn Levy
- Columbia University Medical Center, New York, New York
| | | | - Peter L Nagy
- Columbia University Medical Center, New York, New York
| | - Gunter Scharer
- Section of Genomic Pediatrics, Department of Pediatrics, Medical College of Wisconsin, Milwaukee, Wisconsin
| | | | | | - Aaron Stence
- University of Iowa Hospitals and Clinics, Iowa City, Iowa
| | | | | | - Ravindra Kolhe
- Department of Pathology, Medical College of Georgia, Augusta University, Augusta, Georgia.
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14
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Miolo G, Colavito D, Della Puppa L, Corona G. Delayed Bone Age in a Child with a Novel Loss-of-Function Variant in SETBP1 Gene Sheds Light on the Potential Role of SETBP1 Protein in Skeletal Development. Mol Syndromol 2024; 15:167-174. [PMID: 38585550 PMCID: PMC10996347 DOI: 10.1159/000535057] [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: 04/03/2023] [Accepted: 11/06/2023] [Indexed: 04/09/2024] Open
Abstract
Introduction SETBP1 gene variants that decrease or eliminate protein activity have been associated with phenotypes characterized by speech apraxia and intellectual disabilities. This condition, distinctly separated from Schinzel-Giedion syndrome, is referred to as autosomal dominant mental retardation 29 (ADR29). Case Presentation In this report, we present the case of a 6-year-old male patient exhibiting fine and global motor skill impairments along with expressive language delay. The patient carried a novel germline, heterozygous, de novo nonsense variant in the SETBP1 gene, specifically the c.532C>T variant, which prematurely terminates protein translation at amino acid 178, p.(Gln178*), and removes more than 10% of the reference protein isoform consisting of 1,596 amino acids. According to the American College of Medical Genetics and Genomics (ACMG) guidelines, this variant has been classified as pathogenic. Conclusion Given the limited number of ADR29 cases reported to date, it is critical to focus attention on the phenotypic features of each new individual and seek out previously undocumented defects. The clinical findings found in our patient align with current knowledge on the correlation between the genotypes characterized by loss-of-function variants in SETBP1 gene and a particular neurological phenotype. Furthermore, the presence of a severely delayed bone age in this patient, which we report for the first time, could indicate a possible indirect but significant contribution of the SETBP1 protein in bone development and maturation processes. This finding highlights the need for further investigation into the potential effects of SETBP1 gene variants on bone health and the possible involvement of the SETBP1 protein in skeletal growth and development.
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Affiliation(s)
- Gianmaria Miolo
- Medical Oncology and Cancer Prevention Unit, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, Aviano, Italy
- Department of Medical Laboratory, Genetics Section, Pordenone Hospital, Pordenone, Italy
| | | | - Lara Della Puppa
- Oncogenetics and Functional Oncogenomics Unit, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, Aviano, Italy
| | - Giuseppe Corona
- Immunopathology and Cancer Biomarkers Unit, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, Aviano, Italy
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15
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Porubsky D, Eichler EE. A 25-year odyssey of genomic technology advances and structural variant discovery. Cell 2024; 187:1024-1037. [PMID: 38290514 DOI: 10.1016/j.cell.2024.01.002] [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: 10/07/2023] [Revised: 12/20/2023] [Accepted: 01/02/2024] [Indexed: 02/01/2024]
Abstract
This perspective focuses on advances in genome technology over the last 25 years and their impact on germline variant discovery within the field of human genetics. The field has witnessed tremendous technological advances from microarrays to short-read sequencing and now long-read sequencing. Each technology has provided genome-wide access to different classes of human genetic variation. We are now on the verge of comprehensive variant detection of all forms of variation for the first time with a single assay. We predict that this transition will further transform our understanding of human health and biology and, more importantly, provide novel insights into the dynamic mutational processes shaping our genomes.
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Affiliation(s)
- David Porubsky
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Evan E Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA; Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA.
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16
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Bodetko A, Chrzanowska J, Rydzanicz M, Borys-Iwanicka A, Karpinski P, Bladowska J, Ploski R, Smigiel R. Further Delineation of Clinical Phenotype of ZMYND11 Variants in Patients with Neurodevelopmental Dysmorphic Syndrome. Genes (Basel) 2024; 15:256. [PMID: 38397245 PMCID: PMC10888010 DOI: 10.3390/genes15020256] [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: 01/19/2024] [Revised: 02/08/2024] [Accepted: 02/15/2024] [Indexed: 02/25/2024] Open
Abstract
Intellectual disability with speech delay and behavioural abnormalities, as well as hypotonia, seizures, feeding difficulties and craniofacial dysmorphism, are the main symptoms associated with pathogenic variants of the ZMYND11 gene. The range of clinical manifestations of the ZMYND phenotype is constantly being expanded by new cases described in the literature. Here, we present two previously unreported paediatric patients with neurodevelopmental challenges, who were diagnosed with missense variants in the ZMYND11 gene. It should be noted that one of the individuals manifested with hyperinsulinaemic hypoglycaemia (HH), a symptom that was not described before in published works. The reason for the occurrence of HH in our proband is not clear, so we try to explain the origin of this symptom in the context of the ZMYND11 syndrome. Thus, this paper contributes to knowledge on the range of possible manifestations of the ZMYND disease and provides further evidence supporting its association with neurodevelopmental challenges.
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Affiliation(s)
- Aleksandra Bodetko
- Department of Pediatrics, Endocrinology, Diabetology and Metabolic Diseases, Wroclaw Medical University, 50-368 Wroclaw, Poland; (A.B.); (R.S.)
| | - Joanna Chrzanowska
- Department of Pediatrics, Endocrinology, Diabetology and Metabolic Diseases, Wroclaw Medical University, 50-368 Wroclaw, Poland; (A.B.); (R.S.)
| | - Malgorzata Rydzanicz
- Department of Medical Genetics, Medical University of Warsaw, 02-106 Warsaw, Poland; (M.R.); (R.P.)
| | - Agnieszka Borys-Iwanicka
- Department of Paediatrics, Gastroenterology and Nutrition, Wroclaw Medical University, 50-369 Wroclaw, Poland
| | - Pawel Karpinski
- Department of Genetics, Wroclaw Medical University, 50-368 Wroclaw, Poland;
| | - Joanna Bladowska
- Department of Radiology, Wroclaw 4th Military Clinical Hospital, Faculty of Medicine, Wroclaw University of Science and Technology, 53-114 Wroclaw, Poland;
- Department of Radiology and Imaging Diagnostics, Emergency Medicine Center, Marciniak Lower Silesian Specialist Hospital, 54-049 Wroclaw, Poland
| | - Rafal Ploski
- Department of Medical Genetics, Medical University of Warsaw, 02-106 Warsaw, Poland; (M.R.); (R.P.)
| | - Robert Smigiel
- Department of Pediatrics, Endocrinology, Diabetology and Metabolic Diseases, Wroclaw Medical University, 50-368 Wroclaw, Poland; (A.B.); (R.S.)
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17
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Morgan AT, Amor DJ, St John MD, Scheffer IE, Hildebrand MS. Genetic architecture of childhood speech disorder: a review. Mol Psychiatry 2024:10.1038/s41380-024-02409-8. [PMID: 38366112 DOI: 10.1038/s41380-024-02409-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 12/20/2023] [Accepted: 01/02/2024] [Indexed: 02/18/2024]
Abstract
Severe speech disorders lead to poor literacy, reduced academic attainment and negative psychosocial outcomes. As early as the 1950s, the familial nature of speech disorders was recognized, implying a genetic basis; but the molecular genetic basis remained unknown. In 2001, investigation of a large three generational family with severe speech disorder, known as childhood apraxia of speech (CAS), revealed the first causative gene; FOXP2. A long hiatus then followed for CAS candidate genes, but in the past three years, genetic analysis of cohorts ascertained for CAS have revealed over 30 causative genes. A total of 36 pathogenic variants have been identified from 122 cases across 3 cohorts in this nascent field. All genes identified have been in coding regions to date, with no apparent benefit at this stage for WGS over WES in identifying monogenic conditions associated with CAS. Hence current findings suggest a remarkable one in three children have a genetic variant that explains their CAS, with significant genetic heterogeneity emerging. Around half of the candidate genes identified are currently supported by medium (6 genes) to strong (9 genes) evidence supporting the association between the gene and CAS. Despite genetic heterogeneity; many implicated proteins functionally converge on pathways involved in chromatin modification or transcriptional regulation, opening the door to precision diagnosis and therapies. Most of the new candidate genes for CAS are associated with previously described neurodevelopmental conditions that include intellectual disability, autism and epilepsy; broadening the phenotypic spectrum to a distinctly milder presentation defined by primary speech disorder in the setting of normal intellect. Insights into the genetic bases of CAS, a severe, rare speech disorder, are yet to translate to understanding the heritability of more common, typically milder forms of speech or language impairment such as stuttering or phonological disorder. These disorders likely follow complex inheritance with polygenic contributions in many cases, rather than the monogenic patterns that underly one-third of patients with CAS. Clinical genetic testing for should now be implemented for individuals with CAS, given its high diagnostic rate, which parallels many other neurodevelopmental disorders where this testing is already standard of care. The shared mechanisms implicated by gene discovery for CAS highlight potential new targets for future precision therapies.
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Affiliation(s)
- Angela T Morgan
- Murdoch Children's Research Institute, Melbourne, VIC, Australia.
- Speech Pathology, University of Melbourne, Melbourne, VIC, Australia.
- Speech Pathology, Royal Children's Hospital, Melbourne, VIC, Australia.
| | - David J Amor
- Murdoch Children's Research Institute, Melbourne, VIC, Australia
- Department of Paediatrics, University of Melbourne, Royal Children's Hospital, Melbourne, VIC, Australia
| | - Miya D St John
- Murdoch Children's Research Institute, Melbourne, VIC, Australia
- Speech Pathology, University of Melbourne, Melbourne, VIC, Australia
| | - Ingrid E Scheffer
- Murdoch Children's Research Institute, Melbourne, VIC, Australia
- Epilepsy Research Centre, Austin Health, Melbourne, VIC, Australia
| | - Michael S Hildebrand
- Murdoch Children's Research Institute, Melbourne, VIC, Australia
- Epilepsy Research Centre, Austin Health, Melbourne, VIC, Australia
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18
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Tordai C, Hathy E, Gyergyák H, Vincze K, Baradits M, Koller J, Póti Á, Jezsó B, Homolya L, Molnár MJ, Nagy L, Szüts D, Apáti Á, Réthelyi JM. Probing the biological consequences of a previously undescribed de novo mutation of ZMYND11 in a schizophrenia patient by CRISPR genome editing and induced pluripotent stem cell based in vitro disease-modeling. Schizophr Res 2024:S0920-9964(24)00024-0. [PMID: 38290943 DOI: 10.1016/j.schres.2024.01.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 01/10/2024] [Accepted: 01/11/2024] [Indexed: 02/01/2024]
Abstract
BACKGROUND Schizophrenia (SCZ) is a severe neuropsychiatric disorder of complex, poorly understood etiology, associated with both genetic and environmental factors. De novo mutations (DNMs) represent a new source of genetic variation in SCZ, however, in most cases their biological significance remains unclear. We sought to investigate molecular disease pathways connected to DNMs in SCZ by combining human induced pluripotent stem cell (hiPSC) based disease modeling and CRISPR-based genome editing. METHODS We selected a SCZ case-parent trio with the case individual carrying a potentially disease causing 1495C > T nonsense DNM in the zinc finger MYND domain-containing protein 11 (ZMYND11), a gene implicated in biological processes relevant for SCZ. In the patient-derived hiPSC line the mutation was corrected using CRISPR, while monoallelic or biallelic frameshift mutations were introduced into a control hiPSC line. Isogenic cell lines were differentiated into hippocampal neuronal progenitor cells (NPCs) and functionally active dentate gyrus granule cells (DGGCs). Immunofluorescence microscopy and RNA sequencing were used to test for morphological and transcriptomic differences at NPC and DGCC stages. Functionality of neurons was investigated using calcium-imaging and multi-electrode array measurements. RESULTS Morphology in the mutant hippocampal NPCs and neurons was preserved, however, we detected significant transcriptomic and functional alterations. RNA sequencing showed massive upregulation of neuronal differentiation genes, and downregulation of cell adhesion genes. Decreased reactivity to glutamate was demonstrated by calcium-imaging. CONCLUSIONS Our findings lend support to the involvement of glutamatergic dysregulation in the pathogenesis of SCZ. This approach represents a powerful model system for precision psychiatry and pharmacological research.
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Affiliation(s)
- Csongor Tordai
- Institute of Molecular Life Sciences, Research Center for Natural Sciences, 1117 Budapest, Magyar tudósok körútja 2, Budapest, Hungary; Molecular Psychiatry Research Group, Semmelweis University, 1083 Budapest, Balassa utca 6, Budapest, Hungary
| | - Edit Hathy
- Molecular Psychiatry Research Group, Semmelweis University, 1083 Budapest, Balassa utca 6, Budapest, Hungary
| | - Hella Gyergyák
- Institute of Molecular Life Sciences, Research Center for Natural Sciences, 1117 Budapest, Magyar tudósok körútja 2, Budapest, Hungary
| | - Katalin Vincze
- Institute of Molecular Life Sciences, Research Center for Natural Sciences, 1117 Budapest, Magyar tudósok körútja 2, Budapest, Hungary; Molecular Psychiatry Research Group, Semmelweis University, 1083 Budapest, Balassa utca 6, Budapest, Hungary
| | - Máté Baradits
- Molecular Psychiatry Research Group, Semmelweis University, 1083 Budapest, Balassa utca 6, Budapest, Hungary; Department of Psychiatry and Psychotherapy, Semmelweis University, 1083 Budapest, Balassa utca 6, Budapest, Hungary
| | - Júlia Koller
- Molecular Psychiatry Research Group, Semmelweis University, 1083 Budapest, Balassa utca 6, Budapest, Hungary; Institute of Genomic Medicine and Rare Disorders, Semmelweis University, 1083 Budapest, Balassa utca 6, Budapest, Hungary
| | - Ádám Póti
- Institute of Molecular Life Sciences, Research Center for Natural Sciences, 1117 Budapest, Magyar tudósok körútja 2, Budapest, Hungary
| | - Bálint Jezsó
- Institute of Molecular Life Sciences, Research Center for Natural Sciences, 1117 Budapest, Magyar tudósok körútja 2, Budapest, Hungary; Doctoral School of Biology and Institute of Biology, Eötvös Loránd University, 1117 Budapest, Pázmány Péter sétány 1/c, Budapest, Hungary
| | - László Homolya
- Institute of Molecular Life Sciences, Research Center for Natural Sciences, 1117 Budapest, Magyar tudósok körútja 2, Budapest, Hungary
| | - Mária Judit Molnár
- Institute of Genomic Medicine and Rare Disorders, Semmelweis University, 1083 Budapest, Balassa utca 6, Budapest, Hungary
| | - László Nagy
- Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Egyetem tér 1, Debrecen, Hungary
| | - Dávid Szüts
- Institute of Molecular Life Sciences, Research Center for Natural Sciences, 1117 Budapest, Magyar tudósok körútja 2, Budapest, Hungary.
| | - Ágota Apáti
- Institute of Molecular Life Sciences, Research Center for Natural Sciences, 1117 Budapest, Magyar tudósok körútja 2, Budapest, Hungary.
| | - János M Réthelyi
- Molecular Psychiatry Research Group, Semmelweis University, 1083 Budapest, Balassa utca 6, Budapest, Hungary; Department of Psychiatry and Psychotherapy, Semmelweis University, 1083 Budapest, Balassa utca 6, Budapest, Hungary.
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19
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Nuttle X, Burt ND, Currall B, Moysés-Oliveira M, Mohajeri K, Bhavsar R, Lucente D, Yadav R, Tai DJC, Gusella JF, Talkowski ME. Parallelized engineering of mutational models using piggyBac transposon delivery of CRISPR libraries. CELL REPORTS METHODS 2024; 4:100672. [PMID: 38091988 PMCID: PMC10831954 DOI: 10.1016/j.crmeth.2023.100672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 08/14/2023] [Accepted: 11/21/2023] [Indexed: 01/25/2024]
Abstract
New technologies and large-cohort studies have enabled novel variant discovery and association at unprecedented scale, yet functional characterization of these variants remains paramount to deciphering disease mechanisms. Approaches that facilitate parallelized genome editing of cells of interest or induced pluripotent stem cells (iPSCs) have become critical tools toward this goal. Here, we developed an approach that incorporates libraries of CRISPR-Cas9 guide RNAs (gRNAs) together with inducible Cas9 into a piggyBac (PB) transposon system to engineer dozens to hundreds of genomic variants in parallel against isogenic cellular backgrounds. This method empowers loss-of-function (LoF) studies through the introduction of insertions or deletions (indels) and copy-number variants (CNVs), though generating specific nucleotide changes is possible with prime editing. The ability to rapidly establish high-quality mutational models at scale will facilitate the development of isogenic cellular collections and catalyze comparative functional genomic studies investigating the roles of hundreds of genes and mutations in development and disease.
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Affiliation(s)
- Xander Nuttle
- Center for Genomic Medicine and Department of Neurology, Massachusetts General Hospital, Boston, MA, USA; Department of Neurology, Harvard Medical School, Boston, MA, USA; Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA.
| | - Nicholas D Burt
- Center for Genomic Medicine and Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Benjamin Currall
- Center for Genomic Medicine and Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Mariana Moysés-Oliveira
- Center for Genomic Medicine and Department of Neurology, Massachusetts General Hospital, Boston, MA, USA; Department of Neurology, Harvard Medical School, Boston, MA, USA; Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - Kiana Mohajeri
- Center for Genomic Medicine and Department of Neurology, Massachusetts General Hospital, Boston, MA, USA; Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA; PhD program in Biological and Biomedical Sciences, Harvard Medical School, Boston, MA, USA
| | - Riya Bhavsar
- Center for Genomic Medicine and Department of Neurology, Massachusetts General Hospital, Boston, MA, USA; Department of Neurology, Harvard Medical School, Boston, MA, USA; Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - Diane Lucente
- Center for Genomic Medicine and Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Rachita Yadav
- Center for Genomic Medicine and Department of Neurology, Massachusetts General Hospital, Boston, MA, USA; Department of Neurology, Harvard Medical School, Boston, MA, USA; Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - Derek J C Tai
- Center for Genomic Medicine and Department of Neurology, Massachusetts General Hospital, Boston, MA, USA; Department of Neurology, Harvard Medical School, Boston, MA, USA; Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - James F Gusella
- Center for Genomic Medicine and Department of Neurology, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA; Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA; Harvard Stem Cell Institute, Cambridge, MA, USA
| | - Michael E Talkowski
- Center for Genomic Medicine and Department of Neurology, Massachusetts General Hospital, Boston, MA, USA; Department of Neurology, Harvard Medical School, Boston, MA, USA; Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA.
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20
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Chen S, Francioli LC, Goodrich JK, Collins RL, Kanai M, Wang Q, Alföldi J, Watts NA, Vittal C, Gauthier LD, Poterba T, Wilson MW, Tarasova Y, Phu W, Grant R, Yohannes MT, Koenig Z, Farjoun Y, Banks E, Donnelly S, Gabriel S, Gupta N, Ferriera S, Tolonen C, Novod S, Bergelson L, Roazen D, Ruano-Rubio V, Covarrubias M, Llanwarne C, Petrillo N, Wade G, Jeandet T, Munshi R, Tibbetts K, O'Donnell-Luria A, Solomonson M, Seed C, Martin AR, Talkowski ME, Rehm HL, Daly MJ, Tiao G, Neale BM, MacArthur DG, Karczewski KJ. A genomic mutational constraint map using variation in 76,156 human genomes. Nature 2024; 625:92-100. [PMID: 38057664 DOI: 10.1038/s41586-023-06045-0] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 04/03/2023] [Indexed: 12/08/2023]
Abstract
The depletion of disruptive variation caused by purifying natural selection (constraint) has been widely used to investigate protein-coding genes underlying human disorders1-4, but attempts to assess constraint for non-protein-coding regions have proved more difficult. Here we aggregate, process and release a dataset of 76,156 human genomes from the Genome Aggregation Database (gnomAD)-the largest public open-access human genome allele frequency reference dataset-and use it to build a genomic constraint map for the whole genome (genomic non-coding constraint of haploinsufficient variation (Gnocchi)). We present a refined mutational model that incorporates local sequence context and regional genomic features to detect depletions of variation. As expected, the average constraint for protein-coding sequences is stronger than that for non-coding regions. Within the non-coding genome, constrained regions are enriched for known regulatory elements and variants that are implicated in complex human diseases and traits, facilitating the triangulation of biological annotation, disease association and natural selection to non-coding DNA analysis. More constrained regulatory elements tend to regulate more constrained protein-coding genes, which in turn suggests that non-coding constraint can aid the identification of constrained genes that are as yet unrecognized by current gene constraint metrics. We demonstrate that this genome-wide constraint map improves the identification and interpretation of functional human genetic variation.
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Affiliation(s)
- Siwei Chen
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.
| | - Laurent C Francioli
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Julia K Goodrich
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Ryan L Collins
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Division of Medical Sciences, Harvard Medical School, Boston, MA, USA
| | - Masahiro Kanai
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Qingbo Wang
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
| | - Jessica Alföldi
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Nicholas A Watts
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Christopher Vittal
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Laura D Gauthier
- Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Timothy Poterba
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Michael W Wilson
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Yekaterina Tarasova
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - William Phu
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, USA
| | - Riley Grant
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Mary T Yohannes
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Zan Koenig
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Yossi Farjoun
- Richards Lab, Lady Davis Institute, Montreal, Quebec, Canada
| | - Eric Banks
- Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Stacey Gabriel
- Broad Genomics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Namrata Gupta
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Broad Genomics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Steven Ferriera
- Broad Genomics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Charlotte Tolonen
- Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Sam Novod
- Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Louis Bergelson
- Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - David Roazen
- Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Miguel Covarrubias
- Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Nikelle Petrillo
- Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Gordon Wade
- Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Thibault Jeandet
- Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Ruchi Munshi
- Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Kathleen Tibbetts
- Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Anne O'Donnell-Luria
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, USA
| | - Matthew Solomonson
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Cotton Seed
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Alicia R Martin
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Michael E Talkowski
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Heidi L Rehm
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Mark J Daly
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Institute for Molecular Medicine Finland (FIMM), Helsinki, Finland
| | - Grace Tiao
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Benjamin M Neale
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Daniel G MacArthur
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Centre for Population Genomics, Garvan Institute of Medical Research and UNSW Sydney, Sydney, New South Wales, Australia
- Centre for Population Genomics, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Konrad J Karczewski
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
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21
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Okhovat M, VanCampen J, Nevonen KA, Harshman L, Li W, Layman CE, Ward S, Herrera J, Wells J, Sheng RR, Mao Y, Ndjamen B, Lima AC, Vigh-Conrad KA, Stendahl AM, Yang R, Fedorov L, Matthews IR, Easow SA, Chan DK, Jan TA, Eichler EE, Rugonyi S, Conrad DF, Ahituv N, Carbone L. TAD evolutionary and functional characterization reveals diversity in mammalian TAD boundary properties and function. Nat Commun 2023; 14:8111. [PMID: 38062027 PMCID: PMC10703881 DOI: 10.1038/s41467-023-43841-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 11/21/2023] [Indexed: 12/18/2023] Open
Abstract
Topological associating domains (TADs) are self-interacting genomic units crucial for shaping gene regulation patterns. Despite their importance, the extent of their evolutionary conservation and its functional implications remain largely unknown. In this study, we generate Hi-C and ChIP-seq data and compare TAD organization across four primate and four rodent species and characterize the genetic and epigenetic properties of TAD boundaries in correspondence to their evolutionary conservation. We find 14% of all human TAD boundaries to be shared among all eight species (ultraconserved), while 15% are human-specific. Ultraconserved TAD boundaries have stronger insulation strength, CTCF binding, and enrichment of older retrotransposons compared to species-specific boundaries. CRISPR-Cas9 knockouts of an ultraconserved boundary in a mouse model lead to tissue-specific gene expression changes and morphological phenotypes. Deletion of a human-specific boundary near the autism-related AUTS2 gene results in the upregulation of this gene in neurons. Overall, our study provides pertinent TAD boundary evolutionary conservation annotations and showcases the functional importance of TAD evolution.
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Affiliation(s)
- Mariam Okhovat
- Department of Medicine, Knight Cardiovascular Institute, Oregon Health and Science University, Portland, OR, USA.
| | - Jake VanCampen
- Department of Medicine, Knight Cardiovascular Institute, Oregon Health and Science University, Portland, OR, USA
| | - Kimberly A Nevonen
- Department of Medicine, Knight Cardiovascular Institute, Oregon Health and Science University, Portland, OR, USA
| | - Lana Harshman
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA
| | - Weiyu Li
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA
| | - Cora E Layman
- Department of Medicine, Knight Cardiovascular Institute, Oregon Health and Science University, Portland, OR, USA
| | - Samantha Ward
- Department of Medicine, Knight Cardiovascular Institute, Oregon Health and Science University, Portland, OR, USA
| | - Jarod Herrera
- Department of Medicine, Knight Cardiovascular Institute, Oregon Health and Science University, Portland, OR, USA
| | - Jackson Wells
- Department of Medicine, Knight Cardiovascular Institute, Oregon Health and Science University, Portland, OR, USA
| | - Rory R Sheng
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA
| | - Yafei Mao
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Blaise Ndjamen
- Histology and Light Microscopy Core Facility, Gladstone Institutes, San Francisco, CA, USA
| | - Ana C Lima
- Division of Genetics, Oregon National Primate Research Center, Beaverton, OR, USA
| | | | - Alexandra M Stendahl
- Division of Genetics, Oregon National Primate Research Center, Beaverton, OR, USA
| | - Ran Yang
- Division of Genetics, Oregon National Primate Research Center, Beaverton, OR, USA
| | - Lev Fedorov
- OHSU Transgenic Mouse Models Core Lab, Oregon Health and Science University, Portland, OR, USA
| | - Ian R Matthews
- Department of Otolaryngology-Head and Neck Surgery, University of California, San Francisco, CA, USA
| | - Sarah A Easow
- Department of Otolaryngology-Head and Neck Surgery, University of California, San Francisco, CA, USA
| | - Dylan K Chan
- Department of Otolaryngology-Head and Neck Surgery, University of California, San Francisco, CA, USA
| | - Taha A Jan
- Department of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Evan E Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
- Howard Hughes Medical Institute, University of Washington, Seattle, WA, 98195, USA
| | - Sandra Rugonyi
- Department of Biomedical Engineering, Oregon Health and Science University, Portland, OR, USA
| | - Donald F Conrad
- Division of Genetics, Oregon National Primate Research Center, Beaverton, OR, USA
- Department of Molecular and Medical Genetics, Oregon Health and Science University, Portland, OR, USA
| | - Nadav Ahituv
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA.
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA.
| | - Lucia Carbone
- Department of Medicine, Knight Cardiovascular Institute, Oregon Health and Science University, Portland, OR, USA.
- Division of Genetics, Oregon National Primate Research Center, Beaverton, OR, USA.
- Department of Molecular and Medical Genetics, Oregon Health and Science University, Portland, OR, USA.
- Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, OR, USA.
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22
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Schmitz D, Li Z, Lo Faro V, Rask-Andersen M, Ameur A, Rafati N, Johansson Å. Copy number variations and their effect on the plasma proteome. Genetics 2023; 225:iyad179. [PMID: 37793096 PMCID: PMC10697815 DOI: 10.1093/genetics/iyad179] [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: 08/25/2023] [Revised: 08/25/2023] [Accepted: 09/15/2023] [Indexed: 10/06/2023] Open
Abstract
Structural variations, including copy number variations (CNVs), affect around 20 million bases in the human genome and are common causes of rare conditions. CNVs are rarely investigated in complex disease research because most CNVs are not targeted on the genotyping arrays or the reference panels for genetic imputation. In this study, we characterize CNVs in a Swedish cohort (N = 1,021) using short-read whole-genome sequencing (WGS) and use long-read WGS for validation in a subcohort (N = 15), and explore their effect on 438 plasma proteins. We detected 184,182 polymorphic CNVs and identified 15 CNVs to be associated with 16 proteins (P < 8.22×10-10). Of these, 5 CNVs could be perfectly validated using long-read sequencing, including a CNV which was associated with measurements of the osteoclast-associated immunoglobulin-like receptor (OSCAR) and located upstream of OSCAR, a gene important for bone health. Two other CNVs were identified to be clusters of many short repetitive elements and another represented a complex rearrangement including an inversion. Our findings provide insights into the structure of common CNVs and their effects on the plasma proteome, and highlights the importance of investigating common CNVs, also in relation to complex diseases.
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Affiliation(s)
- Daniel Schmitz
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Box 815, 751 08 Uppsala, Sweden
| | - Zhiwei Li
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Box 815, 751 08 Uppsala, Sweden
| | - Valeria Lo Faro
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Box 815, 751 08 Uppsala, Sweden
| | - Mathias Rask-Andersen
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Box 815, 751 08 Uppsala, Sweden
| | - Adam Ameur
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Box 815, 751 08 Uppsala, Sweden
| | - Nima Rafati
- Department of Medical Biochemistry and Microbiology, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Uppsala University, Box 582, 751 23 Uppsala, Sweden
| | - Åsa Johansson
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Box 815, 751 08 Uppsala, Sweden
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23
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Hall JH, Chawner SJRA, Wolstencroft J, Skuse D, Holmans P, Owen MJ, van den Bree MBM. Irritability in young people with copy number variants associated with neurodevelopmental disorders (ND-CNVs). MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.12.05.23299440. [PMID: 38106165 PMCID: PMC10723492 DOI: 10.1101/2023.12.05.23299440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Background A range of rare mutations involving micro-deletion or -duplication of genetic material (copy number variants (CNVs)) have been associated with high neurodevelopmental and psychiatric risk (ND-CNVs). Irritability is frequently observed in childhood neurodevelopmental conditions, yet its aetiology is largely unknown. Genetic variation may play a role, but there is a sparsity of studies investigating presentation of irritability in young people with ND-CNVs. Aims This study aimed to investigate whether there is a difference in irritability in young people with rare ND-CNVs compared to those without ND-CNVs, and to what extent irritability is associated with psychiatric diagnoses and cognitive ability (IQ). Methods Irritability and broader psychopathology was assessed in 485 young people with ND-CNVs and 164 sibling controls, using the child and adolescent psychiatric assessment (CAPA). Autism was assessed using the Social Communication Questionnaire (SCQ), and Intelligence Quotient (IQ) by the Wechsler Abbreviated Scale of Intelligence (WASI). Results 54% of young people with ND-CNVs met the threshold for irritability; significantly more than controls (OR = 3.77, CI = 3.07-7.90, p= 5.31 × 10-11). When controlling for the presence of other psychiatric comorbidities, ND-CNV status was still associated with irritability. There was no evidence for a relationship between irritability and IQ. Conclusions Irritability is an important aspect of the clinical picture in young people with ND-CNVs. This work shows that genetic variation is associated with irritability in young people with ND-CNVs, independent of psychiatric comorbidities or IQ impairment. Clinicians should be aware of this increased risk to inform management and interventions.
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Affiliation(s)
- Jessica H Hall
- Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, United Kingdom
| | - Samuel J R A Chawner
- Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, United Kingdom
| | - Jeanne Wolstencroft
- BRC Great Ormond Street Institute of Child Health, University College London
| | - David Skuse
- BRC Great Ormond Street Institute of Child Health, University College London
| | - Peter Holmans
- Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, United Kingdom
| | - Michael J Owen
- Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, United Kingdom
| | - Marianne B M van den Bree
- Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, United Kingdom
- Neuroscience and Mental Health Innovation Institute, Cardiff University, Cardiff, United Kingdom
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24
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Hicks MA, Lalonde E, Zoladz J, Gonik B, Ebrahim S. A Diagnosis of Maternal 22q Duplication and Mosaic Deletion following Prenatal Cell-Free DNA Screening. Case Rep Genet 2023; 2023:9127430. [PMID: 38025940 PMCID: PMC10681772 DOI: 10.1155/2023/9127430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 10/31/2023] [Accepted: 11/08/2023] [Indexed: 12/01/2023] Open
Abstract
Concurrent microduplication and microdeletion of the chromosome 22q11.2 region are a rarely reported phenomenon. We describe a case of germline 22q11.21 microduplication syndrome with concurrent mosaic 22q11.2 deletion in a pregnant patient, identified by chromosomal microarray and FISH after noninvasive prenatal genetic screening (cfDNA) results discordant with family history. The patient was referred to maternal-fetal medicine (MFM) at 14 weeks' gestation secondary to an SNP-based cfDNA result of a suspected maternal 22q11.2 deletion and a fetal risk of 1 in 2 for 22q11.2 deletion syndrome. The patient reported a similar cfDNA result in a previous pregnancy; however postnatal chromosomal microarray on that child identified an atypical 22q11.21 microduplication. We report the maternal chromosomal microarray findings of a germline 726 kb 22q11.21 duplication and a mosaic 1.33 Mb 22q11.2 deletion and highlight the copy number variant data generated by cfDNA in this unique case. This family adds to the limited literature of concurrent 22q11.2 microduplication and microdeletion carriers.
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Affiliation(s)
- Melissa A. Hicks
- DMC University Laboratories & Wayne State University School of Medicine, Detroit, MI 48201, USA
- Wayne State University School of Medicine, Detroit, MI 48201, USA
| | | | | | - Bernard Gonik
- Wayne State University School of Medicine, Detroit, MI 48201, USA
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25
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Guo CC, Xu HE, Ma X. ARID3a from the ARID family: structure, role in autoimmune diseases and drug discovery. Acta Pharmacol Sin 2023; 44:2139-2150. [PMID: 37488425 PMCID: PMC10618457 DOI: 10.1038/s41401-023-01134-2] [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: 03/13/2023] [Accepted: 07/09/2023] [Indexed: 07/26/2023] Open
Abstract
The AT-rich interaction domain (ARID) family of DNA-binding proteins is a group of transcription factors and chromatin regulators with a highly conserved ARID domain that recognizes specific AT-rich DNA sequences. Dysfunction of ARID family members has been implicated in various human diseases including cancers and intellectual disability. Among them, ARID3a has gained increasing attention due to its potential involvement in autoimmunity. In this article we provide an overview of the ARID family, focusing on the structure and biological functions of ARID3a. It explores the role of ARID3a in autoreactive B cells and its contribution to autoimmune diseases such as systemic lupus erythematosus and primary biliary cholangitis. Furthermore, we also discuss the potential for drug discovery targeting ARID3a and present a plan for future research in this field.
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Affiliation(s)
- Cheng-Cen Guo
- Department of Gastroenterology and Hepatology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai Institute of Digestive Disease, Shanghai, 200001, China.
| | - H Eric Xu
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China.
| | - Xiong Ma
- Department of Gastroenterology and Hepatology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai Institute of Digestive Disease, Shanghai, 200001, China.
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26
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Tzeng YDT, Hsiao JH, Tseng LM, Hou MF, Li CJ. Breast cancer organoids derived from patients: A platform for tailored drug screening. Biochem Pharmacol 2023; 217:115803. [PMID: 37709150 DOI: 10.1016/j.bcp.2023.115803] [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: 08/09/2023] [Revised: 09/08/2023] [Accepted: 09/11/2023] [Indexed: 09/16/2023]
Abstract
Breast cancer stands as the most prevalent and heterogeneous malignancy affecting women globally, posing a substantial health concern. Enhanced comprehension of tumor pathology and the development of novel therapeutics are pivotal for advancing breast cancer treatment. Contemporary breast cancer investigation heavily leans on in vivo models and conventional cell culture techniques. Nonetheless, these approaches often encounter high failure rates in clinical trials due to species disparities and tissue structure variations. To address this, three-dimensional cultivation of organoids, resembling organ-like structures, has emerged as a promising alternative. Organoids represent innovative in vitro models that mirror in vivo tissue microenvironments. They retain the original tumor's diversity and facilitate the expansion of tumor samples from diverse origins, facilitating the representation of varying tumor stages. Optimized breast cancer organoid models, under precise culture conditions, offer benefits including convenient sample acquisition, abbreviated cultivation durations, and genetic stability. These attributes ensure a faithful replication of in vivo traits of breast cancer cells. As intricate cellular entities boasting spatial arrangements, breast cancer organoid models harbor substantial potential in precision medicine, organ transplantation, modeling intricate diseases, gene therapy, and drug innovation. This review delivers an overview of organoid culture techniques and outlines future prospects for organoid modeling.
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Affiliation(s)
- Yen-Dun Tony Tzeng
- Department of Surgery, Kaohsiung Veterans General Hospital, Kaohsiung 813, Taiwan; Institute of Biomedical Sciences, National Sun Yat-sen University, Kaohsiung 804, Taiwan
| | - Jui-Hu Hsiao
- Department of Surgery, Kaohsiung Municipal Minsheng Hospital, Kaohsiung, Taiwan
| | - Ling-Ming Tseng
- School of Medicine, National Yang-Ming University, Taipei 112, Taiwan; Comprehensive Breast Health Center, Taipei Veterans General Hospital, Taipei 112, Taiwan.
| | - Ming-Feng Hou
- Division of Breast Surgery, Department of Surgery, Center for Cancer Research, Kaohsiung Medical University Chung-Ho Memorial Hospital, Kaohsiung 807, Taiwan.
| | - Chia-Jung Li
- Department of Obstetrics and Gynecology, Kaohsiung Veterans General Hospital, Kaohsiung 813, Taiwan; Institute of BioPharmaceutical Sciences, National Sun Yat-sen University, Kaohsiung 804, Taiwan.
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27
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Wang L, Wang XD, Yang B, Wang XM, Peng YQ, Tan HJ, Xiao HM. Novel SETBP1 mutation in a chinese family with intellectual disability. BMC Med Genomics 2023; 16:233. [PMID: 37798664 PMCID: PMC10552191 DOI: 10.1186/s12920-023-01649-x] [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: 03/01/2023] [Accepted: 08/28/2023] [Indexed: 10/07/2023] Open
Abstract
BACKGROUND Intellectual disability (ID) is characterized by an IQ < 70, which implies below-average intellectual function and a lack of skills necessary for daily living. ID may occur due to multiple causes, such as metabolic, infectious, and chromosomal causes. ID affects approximately 1-3% of the population; however, the cause can be identified in only 25% of clinical patients. METHODS To find the cause of genetic ID in a family, we performed whole-exome sequencing and Sanger sequencing to confirm the presence of a SETBP1 variant and real-time quantitative polymerase chain reaction to detect SETBP1 expression in the proband and normal controls. RESULTS A novel variant, c.942_943insGT (p. Asp316TrpfsTer28), was found in SETBP1. Furthermore, we observed that SETBP1 expression in patients was only 20% that of normal controls (P < 0.05). CONCLUSION A heterozygous variant in SETBP1 associated with ID was found. This report provides further evidence for its genetic basis and support for clinical genetic diagnosis.
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Affiliation(s)
- Le Wang
- School of Basic Medical Science, Hunan University of Medicine, Huaihua, Hunan, China
- Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, Changsha, Hunan, China
| | - Xu-Dong Wang
- Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, Changsha, Hunan, China
| | - Bo Yang
- Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, Changsha, Hunan, China
| | - Xue-Meng Wang
- Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, Changsha, Hunan, China
| | - Yu-Qian Peng
- Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, Changsha, Hunan, China
| | - Hang-Jing Tan
- Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, Changsha, Hunan, China
| | - Hong-Mei Xiao
- Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, Changsha, Hunan, China.
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28
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Liu Z, Huang YF. Deep multiple-instance learning accurately predicts gene haploinsufficiency and deletion pathogenicity. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.29.555384. [PMID: 37693607 PMCID: PMC10491176 DOI: 10.1101/2023.08.29.555384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
Copy number losses (deletions) are a major contributor to the etiology of severe genetic disorders. Although haploinsufficient genes play a critical role in deletion pathogenicity, current methods for deletion pathogenicity prediction fail to integrate multiple lines of evidence for haploinsufficiency at the gene level, limiting their power to pinpoint deleterious deletions associated with genetic disorders. Here we introduce DosaCNV, a deep multiple-instance learning framework that, for the first time, models deletion pathogenicity jointly with gene haploinsufficiency. By integrating over 30 gene-level features potentially predictive of haploinsufficiency, DosaCNV shows unmatched performance in prioritizing pathogenic deletions associated with a broad spectrum of genetic disorders. Furthermore, DosaCNV outperforms existing methods in predicting gene haploinsufficiency even though it is not trained on known haploinsufficient genes. Finally, DosaCNV leverages a state-of-the-art technique to quantify the contributions of individual gene-level features to haploinsufficiency, allowing for human-understandable explanations of model predictions. Altogether, DosaCNV is a powerful computational tool for both fundamental and translational research.
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Affiliation(s)
- Zhihan Liu
- Department of Biology, Pennsylvania State University, University Park, PA 16802, USA
- Molecular, Cellular, and Integrative Biosciences Program, Pennsylvania State University, University Park, PA 16802, USA
- Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA 16802, USA
| | - Yi-Fei Huang
- Department of Biology, Pennsylvania State University, University Park, PA 16802, USA
- Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA 16802, USA
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29
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Forrest MP, Penzes P. Mechanisms of copy number variants in neuropsychiatric disorders: From genes to therapeutics. Curr Opin Neurobiol 2023; 82:102750. [PMID: 37515924 PMCID: PMC10529795 DOI: 10.1016/j.conb.2023.102750] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Revised: 06/01/2023] [Accepted: 06/27/2023] [Indexed: 07/31/2023]
Abstract
Copy number variants (CNVs) are genomic imbalances strongly linked to the aetiology of neuropsychiatric disorders such as schizophrenia and autism. By virtue of their large size, CNVs often contain many genes, providing a multi-genic view of disease processes that can be dissected in model systems. Thus, CNV research provides an important stepping stone towards understanding polygenic disease mechanisms, positioned between monogenic and polygenic risk models. In this review, we will outline hypothetical models for gene interactions occurring within CNVs and discuss different approaches used to study rodent and stem cell disease models. We highlight recent work showing that genetic and pharmacological strategies can be used to rescue important aspects of CNV-mediated pathophysiology, which often converges onto synaptic pathways. We propose that using a rescue approach in complete CNV models provides a new path forward for precise mechanistic understanding of complex disorders and a tangible route towards therapeutic development.
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Affiliation(s)
- Marc P Forrest
- Department of Neuroscience, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA; Center for Autism and Neurodevelopment, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA.
| | - Peter Penzes
- Department of Neuroscience, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA; Center for Autism and Neurodevelopment, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA.
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30
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Caseras X, Legge SE, Bracher-Smith M, Anney R, Owen MJ, Escott-Price V, Kirov G. Copy Number Variants Increasing Risk for Schizophrenia: Shared and Distinct Effects on Brain Morphometry and Cognitive Performance. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2023; 3:902-911. [PMID: 37881570 PMCID: PMC10593876 DOI: 10.1016/j.bpsgos.2022.10.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 10/14/2022] [Accepted: 10/19/2022] [Indexed: 11/06/2022] Open
Abstract
Background Copy number variations (CNVs) conferring risk for mental disorders are associated with brain changes and cognitive deficits. However, whether these effects are shared or distinct across CNVs remains untested. Here we compared the effects on brain morphometry and cognitive performance across CNVs with shared psychiatric liability. Methods Unaffected and unrelated participants of White British and Irish ancestry were drawn from the UK Biobank. After quality control, we retained 31,941 participants not carrying any damaging CNVs and 202 participants carrying one CNV increasing risk for schizophrenia. Using regression analyses, we tested the association between brain morphometry and cognitive performance with CNV carrying status and compared these effect sizes across CNVs using z test for the equality of regression coefficients. Equation modeling was used to examine the mediation of brain phenotypes on the association between CNVs and cognitive performance. Results We detected different patterns of association between CNVs and brain morphometry and cognitive abilities. Comparing across CNVs, 1q21.1 deletion showed the strongest association with surface area in frontal lobe (β = -1.03, p = 4 × 10-8; β = -0.81, p = .00001) and performance in digit memory (β = -1.58, p = .00003), while 1q21.1 duplication showed the strongest association with volume of the putamen (β = -0.70, p = .0004) and reaction time (β = -1.14, p = .000002). We also showed that even when 2 CNVs were associated with performance in the same cognitive ability, these associations were mediated by different brain changes. Conclusions Despite sharing similar psychiatric liability, the CNVs under study appeared to have different effects on brain morphometry and on performance in cognitive abilities, suggesting the existence of distinctive neurobiological pathways into the same clinical phenotypes.
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Affiliation(s)
- Xavier Caseras
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, Wales, United Kingdom
| | - Sophie E. Legge
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, Wales, United Kingdom
| | - Matthew Bracher-Smith
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, Wales, United Kingdom
| | - Richard Anney
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, Wales, United Kingdom
| | - Michael J. Owen
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, Wales, United Kingdom
| | - Valentina Escott-Price
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, Wales, United Kingdom
| | - George Kirov
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, Wales, United Kingdom
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Mollon J, Schultz LM, Huguet G, Knowles EEM, Mathias SR, Rodrigue A, Alexander-Bloch A, Saci Z, Jean-Louis M, Kumar K, Douard E, Almasy L, Jacquemont S, Glahn DC. Impact of Copy Number Variants and Polygenic Risk Scores on Psychopathology in the UK Biobank. Biol Psychiatry 2023; 94:591-600. [PMID: 36764568 PMCID: PMC10409883 DOI: 10.1016/j.biopsych.2023.01.028] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 01/31/2023] [Accepted: 01/31/2023] [Indexed: 02/11/2023]
Abstract
BACKGROUND Our understanding of the impact of copy number variants (CNVs) on psychopathology and their joint influence with polygenic risk scores (PRSs) remains limited. METHODS The UK Biobank recruited 502,534 individuals ages 37 to 73 years living in the United Kingdom between 2006 and 2010. After quality control, genotype data from 459,855 individuals were available for CNV calling. A total of 61 commonly studied recurrent neuropsychiatric CNVs were selected for analyses and examined individually and in aggregate (any CNV, deletion, or duplication). CNV risk scores were used to quantify intolerance of CNVs to haploinsufficiency. Major depressive disorder and generalized anxiety disorder PRSs were generated for White British individuals (N = 408,870). Mood/anxiety factor scores were generated using item-level questionnaire data (N = 501,289). RESULTS CNV carriers showed higher mood/anxiety scores than noncarriers, with the largest effects seen for intolerant deletions. A total of 11 individual deletions and 8 duplications were associated with higher mood/anxiety. Carriers of the 9p24.3 (DMRT1) duplication showed lower mood/anxiety. Associations remained significant for most CNVs when excluding individuals with psychiatric diagnoses. Nominally significant CNV × PRS interactions provided preliminary evidence that associations between select individual CNVs, but not CNVs in aggregate, and mood/anxiety may be modulated by PRSs. CONCLUSIONS CNVs associated with risk for psychiatric disorders showed small to large effects on dimensional mood/anxiety scores in a general population cohort, even when excluding individuals with psychiatric diagnoses. CNV × PRS interactions showed that associations between select CNVs and mood/anxiety may be modulated by PRSs.
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Affiliation(s)
- Josephine Mollon
- Department of Psychiatry, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts.
| | - Laura M Schultz
- Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Guillaume Huguet
- Department of Pediatrics, Université de Montréal, Montreal, Quebec, Canada; Department of Pediatrics, Center Hospitalier Universitaire Sainte-Justine Research Center, Montreal, Quebec, Canada
| | - Emma E M Knowles
- Department of Psychiatry, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Samuel R Mathias
- Department of Psychiatry, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Amanda Rodrigue
- Department of Psychiatry, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Aaron Alexander-Bloch
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Neurodevelopment and Psychosis Section, Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Zohra Saci
- Department of Pediatrics, Center Hospitalier Universitaire Sainte-Justine Research Center, Montreal, Quebec, Canada
| | - Martineau Jean-Louis
- Department of Pediatrics, Center Hospitalier Universitaire Sainte-Justine Research Center, Montreal, Quebec, Canada
| | - Kuldeep Kumar
- Department of Pediatrics, Center Hospitalier Universitaire Sainte-Justine Research Center, Montreal, Quebec, Canada
| | - Elise Douard
- Department of Pediatrics, Université de Montréal, Montreal, Quebec, Canada; Department of Pediatrics, Center Hospitalier Universitaire Sainte-Justine Research Center, Montreal, Quebec, Canada
| | - Laura Almasy
- Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Department of Genetics, Perelman School of Medicine, Penn-CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Sebastien Jacquemont
- Department of Pediatrics, Université de Montréal, Montreal, Quebec, Canada; Department of Pediatrics, Center Hospitalier Universitaire Sainte-Justine Research Center, Montreal, Quebec, Canada
| | - David C Glahn
- Department of Psychiatry, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts; Olin Neuropsychiatry Research Center, Institute of Living, Hartford, Connecticut
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Wu D, Wu Y, Lan Y, Lan S, Zhong Z, Li D, Zheng Z, Wang H, Ma L. Chromosomal Aberrations in Pediatric Patients With Moderate/Severe Developmental Delay/Intellectual Disability With Abundant Phenotypic Heterogeneities: A Single-Center Study. Pediatr Neurol 2023; 147:72-81. [PMID: 37566956 DOI: 10.1016/j.pediatrneurol.2023.06.001] [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: 03/16/2023] [Revised: 05/26/2023] [Accepted: 06/06/2023] [Indexed: 08/13/2023]
Abstract
BACKGROUND This study aimed to examine the clinical usefulness of chromosome microarray (CMA) for selective implementation in patients with unexplained moderate or severe developmental delay/intellectual disability (DD/ID) and/or combined with different dysphonic features in the Han Chinese population. METHODS We retrospectively analyzed data on 122 pediatric patients with unexplained isolated moderate/severe DD/ID with or without autism spectrum disorders, epilepsy, dystonia, and congenital abnormalities from a single-center neurorehabilitation clinic in southern China. RESULTS A total of 46 probands (37.7%) had abnormal CMA results among the 122 study patients. With the exclusion of aneuploidies, uniparental disomies, and multiple homozygotes, 37 patients harbored 39 pathogenic copy number variations (pCNVs) (median [interquartile range] size: 3.57 [1.6 to 7.1] Mb; 33 deletions and 6 duplications), enriched in chromosomes 5, 7, 15, 17, and 22, with a markedly high prevalence of Angelman/Prader-Willi syndrome (24.3% [nine of 37]). Three rare deletions in the regions 5q33.2q34, 17p13.2, and 13q33.2 were reported, with specific delineation of clinical phenotypes. The frequencies of pCNVs were 18%, 33.3%, 38.89%, 41.67%, and 100% for patients with 1, 2, 3, 4, and 5 study phenotypes, respectively; patients with more concomitant abnormalities in the heart, brain, craniofacial region, and/or other organs had a higher CMA diagnostic yield and pCNV prevalence (P < 0.05). CONCLUSIONS Clinical application of CMA as a first-tier test among patients with moderate/severe DD/ID combined with congenital structural anomalies improved diagnostic yields and the quality of clinical management in this series of patients.
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Affiliation(s)
- Dan Wu
- Department of Pediatrics, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China; Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia
| | - Yi Wu
- Department of Pediatrics, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Yulong Lan
- Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia; Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Shaocong Lan
- Guangdong Medical College, Zhanjiang, Guangdong, China
| | - Zhiwei Zhong
- Department of Neurosurgery, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Duo Li
- Department of Pediatrics, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Zexin Zheng
- Department of Pediatrics, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Hongwu Wang
- Department of Pediatrics, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
| | - Lian Ma
- Department of Pediatrics, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China; Department of Hematology and Oncology, Shenzhen Children's Hospital of China Medical University, Shenzhen, Guangdong, China; Shenzhen Public Service Platform of Molecular Medicine in Pediatric Hematology and Oncology, Shenzhen, Guangdong, China; Department of Pediatrics, The Third Affiliated Hospital of Guangzhou Medical University (The Women and Children's Hospital of Guangzhou Medical University), Guangzhou, Guangdong, China.
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33
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Ansari M, Faour KNW, Shimamura A, Grimes G, Kao EM, Denhoff ER, Blatnik A, Ben-Isvy D, Wang L, Helm BM, Firth H, Breman AM, Bijlsma EK, Iwata-Otsubo A, de Ravel TJL, Fusaro V, Fryer A, Nykamp K, Stühn LG, Haack TB, Korenke GC, Constantinou P, Bujakowska KM, Low KJ, Place E, Humberson J, Napier MP, Hoffman J, Juusola J, Deardorff MA, Shao W, Rockowitz S, Krantz I, Kaur M, Raible S, Kliesch S, Singer-Berk M, Groopman E, DiTroia S, Ballal S, Srivastava S, Rothfelder K, Biskup S, Rzasa J, Kerkhof J, McConkey H, O'Donnell-Luria A, Sadikovic B, Hilton S, Banka S, Tüttelmann F, Conrad D, Talkowski ME, FitzPatrick DR, Boone PM. Heterozygous loss-of-function SMC3 variants are associated with variable and incompletely penetrant growth and developmental features. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.09.27.23294269. [PMID: 37808847 PMCID: PMC10557843 DOI: 10.1101/2023.09.27.23294269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
Abstract
Heterozygous missense variants and in-frame indels in SMC3 are a cause of Cornelia de Lange syndrome (CdLS), marked by intellectual disability, growth deficiency, and dysmorphism, via an apparent dominant-negative mechanism. However, the spectrum of manifestations associated with SMC3 loss-of-function variants has not been reported, leading to hypotheses of alternative phenotypes or even developmental lethality. We used matchmaking servers, patient registries, and other resources to identify individuals with heterozygous, predicted loss-of-function (pLoF) variants in SMC3, and analyzed population databases to characterize mutational intolerance in this gene. Here, we show that SMC3 behaves as an archetypal haploinsufficient gene: it is highly constrained against pLoF variants, strongly depleted for missense variants, and pLoF variants are associated with a range of developmental phenotypes. Among 13 individuals with SMC3 pLoF variants, phenotypes were variable but coalesced on low growth parameters, developmental delay/intellectual disability, and dysmorphism reminiscent of atypical CdLS. Comparisons to individuals with SMC3 missense/in-frame indel variants demonstrated a milder presentation in pLoF carriers. Furthermore, several individuals harboring pLoF variants in SMC3 were nonpenetrant for growth, developmental, and/or dysmorphic features, some instead having intriguing symptomatologies with rational biological links to SMC3 including bone marrow failure, acute myeloid leukemia, and Coats retinal vasculopathy. Analyses of transcriptomic and epigenetic data suggest that SMC3 pLoF variants reduce SMC3 expression but do not result in a blood DNA methylation signature clustering with that of CdLS, and that the global transcriptional signature of SMC3 loss is model-dependent. Our finding of substantial population-scale LoF intolerance in concert with variable penetrance in subjects with SMC3 pLoF variants expands the scope of cohesinopathies, informs on their allelic architecture, and suggests the existence of additional clearly LoF-constrained genes whose disease links will be confirmed only by multi-layered genomic data paired with careful phenotyping.
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Affiliation(s)
- Morad Ansari
- South East Scotland Genetic Service, Western General Hospital, Edinburgh, UK
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
- These authors contributed equally
| | - Kamli N W Faour
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, US
- Cornelia de Lange Syndrome and Related Disorders Clinic, Boston Children's Hospital, Boston, MA, US
- These authors contributed equally
| | - Akiko Shimamura
- Division of Hematology and Oncology, Boston Children's Hospital, Boston, MA, US
| | - Graeme Grimes
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Emeline M Kao
- Institutional Centers for Clinical and Translational Research, Boston Children's Hospital, Boston, MA, US
| | - Erica R Denhoff
- Institutional Centers for Clinical and Translational Research, Boston Children's Hospital, Boston, MA, US
| | - Ana Blatnik
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
- Department of Clinical Cancer Genetics, Institute of Oncology Ljubljana, Ljubljana, SI
| | - Daniel Ben-Isvy
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, US
- Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, US
- Division of Medical Sciences, Harvard Medical School, Boston, MA, US
| | - Lily Wang
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, US
- Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, US
- Division of Medical Sciences, Harvard Medical School, Boston, MA, US
| | - Benjamin M Helm
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, US
| | - Helen Firth
- Clinical Genetics, Addenbrooke's Hospital, Cambridge University Hospitals, Cambridge, UK
| | - Amy M Breman
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, US
| | - Emilia K Bijlsma
- Department of Clinical Genetics, Leiden University Medical Centre, Leiden, NL
| | - Aiko Iwata-Otsubo
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, US
| | - Thomy J L de Ravel
- Centre for Human Genetics, UZ Leuven/ Leuven University Hospitals, Leuven, BE
| | | | - Alan Fryer
- Department of Clinical Genetics, Alder Hey Children's Hospital Liverpool, Liverpool, UK
| | | | - Lara G Stühn
- Institute of Medical Genetics and Applied Genomics, University of Tuebingen, Tuebingen, DE
| | - Tobias B Haack
- Institute of Medical Genetics and Applied Genomics, University of Tuebingen, Tuebingen, DE
| | - G Christoph Korenke
- University Children's Hospital Oldenburg, Department of Neuropaediatric and Metabolic Diseases, University Children's Hospital Oldenburg, Oldenburg, DE
| | - Panayiotis Constantinou
- West of Scotland Centre for Genomic Medicine, Queen Elizabeth University Hospital, Glasgow, UK
| | | | - Karen J Low
- University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
- University of Bristol, Bristol, UK
| | - Emily Place
- Massachusetts Eye and Ear Infirmary, Boston, MA, US
| | | | | | | | | | - Matthew A Deardorff
- Departments of Pathology and Pediatrics, Children's Hospital Los Angeles and University of Southern California, Los Angeles, CA, US
| | - Wanqing Shao
- Research Computing, Information Technology, Boston Children's Hospital, Boston, MA, US
| | - Shira Rockowitz
- Research Computing, Information Technology, Boston Children's Hospital, Boston, MA, US
- The Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, MA, US
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, US
| | - Ian Krantz
- Children's Hospital of Philadelphia, Philadelphia, PA, US
| | - Maninder Kaur
- Children's Hospital of Philadelphia, Philadelphia, PA, US
| | - Sarah Raible
- Children's Hospital of Philadelphia, Philadelphia, PA, US
| | - Sabine Kliesch
- Department of Clinical and Surgical Andrology, Centre of Reproductive Medicine and Andrology, University Hospital Münster, Münster, DE
| | - Moriel Singer-Berk
- Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, US
| | - Emily Groopman
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, US
- Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, US
| | - Stephanie DiTroia
- Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, US
| | - Sonia Ballal
- Cornelia de Lange Syndrome and Related Disorders Clinic, Boston Children's Hospital, Boston, MA, US
- Division of Gastroenterology, Boston Children's Hospital, Boston, MA, US
| | - Siddharth Srivastava
- Cornelia de Lange Syndrome and Related Disorders Clinic, Boston Children's Hospital, Boston, MA, US
- Divison of Neurology, Boston Children's Hospital, Boston, MA, US
| | | | - Saskia Biskup
- Zentrum für Humangenetik, Tübingen, DE
- Center for Genomics and Transcriptomics (CeGaT), Tübingen, DE
| | - Jessica Rzasa
- Molecular Diagnostics Program and Verspeeten Clinical Genome Centre, LHSC, London, CA
| | - Jennifer Kerkhof
- Molecular Diagnostics Program and Verspeeten Clinical Genome Centre, LHSC, London, CA
| | - Haley McConkey
- Molecular Diagnostics Program and Verspeeten Clinical Genome Centre, LHSC, London, CA
| | - Anne O'Donnell-Luria
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, US
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, US
- Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, US
| | - Bekim Sadikovic
- Molecular Diagnostics Program and Verspeeten Clinical Genome Centre, LHSC, London, CA
| | | | | | - Frank Tüttelmann
- Institute of Reproductive Genetics, University of Münster, Münster, DE
| | - Donald Conrad
- Division of Genetics, Oregon National Primate Research Center, Oregon Health and Science University, Portland, OR, US
- Center for Embryonic Cell and Gene Therapy, Oregon Health and Science University, Portland, OR, US
| | - Michael E Talkowski
- Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, US
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, US
| | - David R FitzPatrick
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
- These authors contributed equally
| | - Philip M Boone
- Cornelia de Lange Syndrome and Related Disorders Clinic, Boston Children's Hospital, Boston, MA, US
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, US
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, US
- Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, US
- These authors contributed equally
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34
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Yang X, Mao Y, Wang XK, Ma DN, Xu Z, Gong N, Henning B, Zhang X, He G, Shi YY, Eichler EE, Li ZQ, Takahashi E, Li WD. Population genetics of marmosets in Asian primate research centers and loci associated with epileptic risk revealed by whole-genome sequencing. Zool Res 2023; 44:837-847. [PMID: 37501399 PMCID: PMC10559097 DOI: 10.24272/j.issn.2095-8137.2022.514] [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: 04/23/2023] [Accepted: 07/26/2023] [Indexed: 07/29/2023] Open
Abstract
The common marmoset ( Callithrix jacchus) has emerged as a valuable nonhuman primate model in biomedical research with the recent release of high-quality reference genome assemblies. Epileptic marmosets have been independently reported in two Asian primate research centers. Nevertheless, the population genetics within these primate centers and the specific genetic variants associated with epilepsy in marmosets have not yet been elucidated. Here, we characterized the genetic relationships and risk variants for epilepsy in 41 samples from two epileptic marmoset pedigrees using whole-genome sequencing. We identified 14 558 184 single nucleotide polymorphisms (SNPs) from the 41 samples and found higher chimerism levels in blood samples than in fingernail samples. Genetic analysis showed fourth-degree of relatedness among marmosets at the primate centers. In addition, SNP and copy number variation (CNV) analyses suggested that the WW domain-containing oxidoreductase ( WWOX) and Tyrosine-protein phosphatase nonreceptor type 21 ( PTPN21) genes may be associated with epilepsy in marmosets. Notably, KCTD18-like gene deletion was more common in epileptic marmosets than control marmosets. This study provides valuable population genomic resources for marmosets in two Asian primate centers. Genetic analyses identified a reasonable breeding strategy for genetic diversity maintenance in the two centers, while the case-control study revealed potential risk genes/variants associated with epilepsy in marmosets.
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Affiliation(s)
- XiangYu Yang
- Bio-X Institutes, Key Laboratory for the Genetics of Development and Neuropsychiatric Disorders (Ministry of Education), Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai 200240, China
- Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University, Shanghai 200030, China
- WLA Laboratories, World Laureates Association, Shanghai 201203, China
| | - YaFei Mao
- Bio-X Institutes, Key Laboratory for the Genetics of Development and Neuropsychiatric Disorders (Ministry of Education), Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai 200240, China
- Department of Genome Sciences, University of Washington School of Medicine, Seattle WA 98195, USA
| | - Xuan-Kai Wang
- Bio-X Institutes, Key Laboratory for the Genetics of Development and Neuropsychiatric Disorders (Ministry of Education), Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Dong-Ni Ma
- Bio-X Institutes, Key Laboratory for the Genetics of Development and Neuropsychiatric Disorders (Ministry of Education), Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai 200240, China
- WLA Laboratories, World Laureates Association, Shanghai 201203, China
| | - Zhen Xu
- Institute of Neuroscience, Key Laboratory of Primate Neurobiology, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Neng Gong
- Institute of Neuroscience, Key Laboratory of Primate Neurobiology, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Barbara Henning
- Department of Genome Sciences, University of Washington School of Medicine, Seattle WA 98195, USA
| | - Xu Zhang
- Bio-X Institutes, Key Laboratory for the Genetics of Development and Neuropsychiatric Disorders (Ministry of Education), Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai 200240, China
- WLA Laboratories, World Laureates Association, Shanghai 201203, China
| | - Guang He
- Bio-X Institutes, Key Laboratory for the Genetics of Development and Neuropsychiatric Disorders (Ministry of Education), Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Yong-Yong Shi
- Bio-X Institutes, Key Laboratory for the Genetics of Development and Neuropsychiatric Disorders (Ministry of Education), Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai 200240, China
- Affiliated Hospital of Qingdao University & Biomedical Sciences Institute of Qingdao University, Qingdao Branch of SJTU Bio-X Institutes, Qingdao University, Qingdao, Shandong 266003, China
| | - Evan E Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle WA 98195, USA
- Howard Hughes Medical Institute, University of Washington, Seattle WA 98195, USA
| | - Zhi-Qiang Li
- Bio-X Institutes, Key Laboratory for the Genetics of Development and Neuropsychiatric Disorders (Ministry of Education), Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai 200240, China
- Affiliated Hospital of Qingdao University & Biomedical Sciences Institute of Qingdao University, Qingdao Branch of SJTU Bio-X Institutes, Qingdao University, Qingdao, Shandong 266003, China. E-mail:
| | - Eiki Takahashi
- Bio-X Institutes, Key Laboratory for the Genetics of Development and Neuropsychiatric Disorders (Ministry of Education), Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai 200240, China
- Department of Biomedicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan. E-mail:
| | - Wei-Dong Li
- Bio-X Institutes, Key Laboratory for the Genetics of Development and Neuropsychiatric Disorders (Ministry of Education), Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai 200240, China
- Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University, Shanghai 200030, China
- WLA Laboratories, World Laureates Association, Shanghai 201203, China
- Global Institute of Future Technology, Shanghai Jiao Tong University, Shanghai 200240, China. E-mail:
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35
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Drozd CJ, Quinn CC. UNC-116 and UNC-16 function with the NEKL-3 kinase to promote axon targeting. Development 2023; 150:dev201654. [PMID: 37756604 PMCID: PMC10561693 DOI: 10.1242/dev.201654] [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: 01/30/2023] [Accepted: 09/05/2023] [Indexed: 09/29/2023]
Abstract
KIF5C is a kinesin-1 heavy chain that has been associated with neurodevelopmental disorders. Although the roles of kinesin-1 in axon transport are well known, little is known about how it regulates axon targeting. We report that UNC-116/KIF5C functions with the NEKL-3/NEK6/7 kinase to promote axon targeting in Caenorhabditis elegans. Loss of UNC-116 causes the axon to overshoot its target and UNC-116 gain-of-function causes premature axon termination. We find that loss of the UNC-16/JIP3 kinesin-1 cargo adaptor disrupts axon termination, but loss of kinesin-1 light chain function does not affect axon termination. Genetic analysis indicates that UNC-16 functions with the NEKL-3 kinase to promote axon termination. Consistent with this observation, imaging experiments indicate that loss of UNC-16 and UNC-116 disrupt localization of NEKL-3 in the axon. Moreover, genetic interactions suggest that NEKL-3 promotes axon termination by functioning with RPM-1, a ubiquitin ligase that regulates microtubule stability in the growth cone. These observations support a model where UNC-116 functions with UNC-16 to promote localization of NEKL-3 in the axon. NEKL-3, in turn, functions with the RPM-1 ubiquitin ligase to promote axon termination.
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Affiliation(s)
- Cody J. Drozd
- Department of Biological Sciences, University of Wisconsin-Milwaukee, Milwaukee, WI 53201, USA
| | - Christopher C. Quinn
- Department of Biological Sciences, University of Wisconsin-Milwaukee, Milwaukee, WI 53201, USA
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36
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Vaez M, Montalbano S, Sánchez XC, Georgii Hellberg KL, Rasekhi Dehkordi S, Dybdahl Krebs M, Meijsen J, Shorter J, Byberg-Grauholm J, Mortensen PB, Børglum AD, Hougaard DM, Nordentoft M, Geschwind DH, Buil A, Schork AJ, Helenius D, Raznahan A, Thompson WK, Werge T, Ingason A. Population-based Risk of Psychiatric Disorders Associated with Recurrent CNVs. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.09.04.23294975. [PMID: 37886536 PMCID: PMC10602037 DOI: 10.1101/2023.09.04.23294975] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/28/2023]
Abstract
Recurrent copy number variants (rCNVs) are associated with increased risk of neuropsychiatric disorders but their pathogenic population-level impact is unknown. We provide population-based estimates of rCNV-associated risk of neuropsychiatric disorders for 34 rCNVs in the iPSYCH2015 case-cohort sample (n=120,247). Most observed significant increases in rCNV-associated risk for ADHD, autism or schizophrenia were moderate (HR:1.42-5.00), and risk estimates were highly correlated across these disorders, the most notable exception being high autism-associated risk with Prader-Willi/Angelman Syndrome duplications (HR=20.8). No rCNV was associated with significant increase in depression risk. Also, rCNV-associated risk was positively correlated with locus size and gene constraint. Comparison with published rCNV studies suggests that prevalence of some rCNVs is higher, and risk of psychiatric disorders lower, than previously estimated. In an era where genetics is increasingly being clinically applied, our results highlight the importance of population-based risk estimates for genetics-based predictions.
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Affiliation(s)
- Morteza Vaez
- Institute of Biological Psychiatry, Mental Health Services, Copenhagen University Hospital, DK-4000 Roskilde, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Copenhagen and Aarhus, Denmark
| | - Simone Montalbano
- Institute of Biological Psychiatry, Mental Health Services, Copenhagen University Hospital, DK-4000 Roskilde, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Copenhagen and Aarhus, Denmark
| | - Xabier Calle Sánchez
- Institute of Biological Psychiatry, Mental Health Services, Copenhagen University Hospital, DK-4000 Roskilde, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Copenhagen and Aarhus, Denmark
| | - Kajsa-Lotta Georgii Hellberg
- Institute of Biological Psychiatry, Mental Health Services, Copenhagen University Hospital, DK-4000 Roskilde, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Copenhagen and Aarhus, Denmark
| | - Saeid Rasekhi Dehkordi
- Institute of Biological Psychiatry, Mental Health Services, Copenhagen University Hospital, DK-4000 Roskilde, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Copenhagen and Aarhus, Denmark
| | - Morten Dybdahl Krebs
- Institute of Biological Psychiatry, Mental Health Services, Copenhagen University Hospital, DK-4000 Roskilde, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Copenhagen and Aarhus, Denmark
| | - Joeri Meijsen
- Institute of Biological Psychiatry, Mental Health Services, Copenhagen University Hospital, DK-4000 Roskilde, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Copenhagen and Aarhus, Denmark
| | - John Shorter
- Institute of Biological Psychiatry, Mental Health Services, Copenhagen University Hospital, DK-4000 Roskilde, Denmark
- Department of Science and Environment, Roskilde University, DK-4000 Roskilde, Denmark
| | - Jonas Byberg-Grauholm
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Copenhagen and Aarhus, Denmark
- Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, DK-2300 Copenhagen, Denmark
| | - Preben B Mortensen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Copenhagen and Aarhus, Denmark
- National Centre for Register-based Research, Aarhus University, DK-8210 Aarhus, Denmark
| | - Anders D Børglum
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Copenhagen and Aarhus, Denmark
- Department of Biomedicine-Human Genetics and the iSEQ Center, Aarhus University, DK-8000 Aarhus, Denmark
- Center for Genomics and Personalized Medicine, DK-8000 Aarhus, Denmark
| | - David M Hougaard
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Copenhagen and Aarhus, Denmark
- Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, DK-2300 Copenhagen, Denmark
| | - Merete Nordentoft
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Copenhagen and Aarhus, Denmark
- Mental Health Center Copenhagen, Copenhagen University Hospital, DK-2400 Copenhagen, Denmark
| | - Daniel H Geschwind
- Department of Neurology, University of California, Los Angeles, CA, USA
- Department of Human Genetics, University of California, Los Angeles, CA, USA
- Center for Autism Research and Treatment, Semel Institute, David Geffen School of Medicine at UCLA, University of California, Los Angeles, CA, USA
- Program in Neurobehavioral Genetics, Semel Institute, David Geffen School of Medicine at UCLA, University of California, Los Angeles, CA, USA
- Center for Human Development, University of California, San Diego, CA, USA
| | - Alfonso Buil
- Institute of Biological Psychiatry, Mental Health Services, Copenhagen University Hospital, DK-4000 Roskilde, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Copenhagen and Aarhus, Denmark
- Lundbeck Foundation Center for GeoGenetics, GLOBE Institute, University of Copenhagen, DK-1350 Copenhagen, Denmark
| | - Andrew J Schork
- Institute of Biological Psychiatry, Mental Health Services, Copenhagen University Hospital, DK-4000 Roskilde, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Copenhagen and Aarhus, Denmark
- Lundbeck Foundation Center for GeoGenetics, GLOBE Institute, University of Copenhagen, DK-1350 Copenhagen, Denmark
- Neurogenomics Division, The Translational Genomics Research Institute (TGEN), Phoenix, AZ, USA
| | - Dorte Helenius
- Institute of Biological Psychiatry, Mental Health Services, Copenhagen University Hospital, DK-4000 Roskilde, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Copenhagen and Aarhus, Denmark
| | - Armin Raznahan
- Section on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health Intramural Research Program, Bethesda, MD, USA
| | - Wesley K Thompson
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Copenhagen and Aarhus, Denmark
- Laureate Institute for Brain Research, Tulsa, OK, USA
| | - Thomas Werge
- Institute of Biological Psychiatry, Mental Health Services, Copenhagen University Hospital, DK-4000 Roskilde, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Copenhagen and Aarhus, Denmark
- Lundbeck Foundation Center for GeoGenetics, GLOBE Institute, University of Copenhagen, DK-1350 Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, DK-2200 Copenhagen, Denmark
| | - Andrés Ingason
- Institute of Biological Psychiatry, Mental Health Services, Copenhagen University Hospital, DK-4000 Roskilde, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Copenhagen and Aarhus, Denmark
- Lundbeck Foundation Center for GeoGenetics, GLOBE Institute, University of Copenhagen, DK-1350 Copenhagen, Denmark
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Kohyanagi N, Ohama T. The impact of SETBP1 mutations in neurological diseases and cancer. Genes Cells 2023; 28:629-641. [PMID: 37489294 DOI: 10.1111/gtc.13057] [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: 05/30/2023] [Accepted: 07/05/2023] [Indexed: 07/26/2023]
Abstract
SE translocation (SET) is a cancer-promoting factor whose expression is upregulated in many cancers. High SET expression positively correlates with a poor cancer prognosis. SETBP1 (SET-binding protein 1/SEB/MRD29), identified as SET-binding protein, is the causative gene of Schinzel-Giedion syndrome, which is characterized by severe intellectual disability and a distorted facial appearance. Mutations in these genetic regions are also observed in some blood cancers, such as myelodysplastic syndromes, and are associated with a poor prognosis. However, the physiological role of SETBP1 and the molecular mechanisms by which the mutations lead to disease progression have not yet been fully elucidated. In this review, we will describe the current epidemiological data on SETBP1 mutations and shed light on the current knowledge about the SET-dependent and -independent functions of SETBP1.
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Affiliation(s)
- Naoki Kohyanagi
- Laboratory of Veterinary Pharmacology, Joint Faculty of Veterinary Medicine, Yamaguchi University, Yamaguchi, Japan
| | - Takashi Ohama
- Laboratory of Veterinary Pharmacology, Joint Faculty of Veterinary Medicine, Yamaguchi University, Yamaguchi, Japan
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Abstract
DNA sequencing has revolutionized medicine over recent decades. However, analysis of large structural variation and repetitive DNA, a hallmark of human genomes, has been limited by short-read technology, with read lengths of 100-300 bp. Long-read sequencing (LRS) permits routine sequencing of human DNA fragments tens to hundreds of kilobase pairs in size, using both real-time sequencing by synthesis and nanopore-based direct electronic sequencing. LRS permits analysis of large structural variation and haplotypic phasing in human genomes and has enabled the discovery and characterization of rare pathogenic structural variants and repeat expansions. It has also recently enabled the assembly of a complete, gapless human genome that includes previously intractable regions, such as highly repetitive centromeres and homologous acrocentric short arms. With the addition of protocols for targeted enrichment, direct epigenetic DNA modification detection, and long-range chromatin profiling, LRS promises to launch a new era of understanding of genetic diversity and pathogenic mutations in human populations.
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Affiliation(s)
- Peter E Warburton
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA; ,
- Center for Advanced Genomics Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Robert P Sebra
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA; ,
- Center for Advanced Genomics Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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39
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Jonsson L, Martin J, Lichtenstein P, Magnusson PKE, Lundström S, Westberg L, Tammimies K. Examining neurodevelopmental problems in 15q11.2 (BP1-BP2) copy number variation carriers at ages 9/12 and 18 in a Swedish twin sample. Mol Genet Genomic Med 2023; 11:e2191. [PMID: 37156729 PMCID: PMC10422071 DOI: 10.1002/mgg3.2191] [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: 10/18/2022] [Revised: 03/16/2023] [Accepted: 04/21/2023] [Indexed: 05/10/2023] Open
Abstract
BACKGROUND Several copy number variations (CNVs) are associated with increased risk for neurodevelopmental and psychiatric disorders. The CNV 15q11.2 (BP1-BP2) deletion has been associated with learning difficulties, attention deficit hyperactivity disorder (ADHD), epilepsy, and brain morphology; however, many carriers present mild or no symptoms. Carrying the reciprocal duplication does not seem to confer risk for these disorders or traits. Our aim was to examine the impact of carrying either 15q11.2 deletion and reciprocal duplication on neurodevelopmental problems in a population-based sample of children. METHODS Twins with genotype and phenotype information in the Child and Adolescent Twin Study in Sweden (CATSS) were included (N = 12,040). We included measures of neurodevelopmental problems (NDPs), including learning problems, from the questionnaire Autism-Tics, ADHD, and other Comorbidities inventory (A-TAC) at age 9/12, ADHD and autism spectrum disorder (ASD) questionnaires at age 18, as well as information about lifetime psychiatric diagnoses and epileptic seizures. We tested the association between these phenotypic measurements and carrying the 15q11.2 deletion, the reciprocal duplication, and other CNVs with previously reported strong associations with neurodevelopmental and psychiatric disorders (i.e., psychiatric CNVs). RESULTS We identified 57 carriers of the 15q11.2 deletion, 75 carriers of the reciprocal duplication, and 67 carriers of other psychiatric CNVs. We did not find an increased risk for NDPs or psychiatric diagnoses in the 15q11.2 deletion carriers. For 15q11.2 duplication carriers, we found an increased risk for math learning problems and fewer self-reported ADHD symptoms at age 18 but not for other NDPs. In line with previous studies, we found an increased risk of NDPs and other evaluated phenotypes in carriers of psychiatric CNVs. CONCLUSIONS Our results support previous findings that carrying 15q11.2 deletion does not have a large effect on NDPs in children.
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Affiliation(s)
- Lina Jonsson
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and Physiology at the Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Joanna Martin
- Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
- Centre for Neuropsychiatric Genetics and GenomicsDivision of Psychological Medicine and Clinical NeurosciencesCardiff UniversityCardiffUK
| | - Paul Lichtenstein
- Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
| | - Patrik K. E. Magnusson
- Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
| | - Sebastian Lundström
- Gillberg Neuropsychiatry CentreInstitute of Neuroscience and Physiology at the Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Lars Westberg
- Department of PharmacologyInstitute of Neuroscience and Physiology at the Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Kristiina Tammimies
- Center of Neurodevelopmental Disorders (KIND)Centre for Psychiatry ResearchDepartment of Women's and Children's HealthKarolinska Institutet and Child and Adolescent PsychiatryStockholm Health Care Services, Stockholm County CouncilStockholmSweden
- Astrid Lindgren Children's HospitalKarolinska University Hospital, Region StockholmSolnaSweden
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40
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Ha TT, Burgess R, Newman M, Moey C, Mandelstam SA, Gardner AE, Ivancevic AM, Pham D, Kumar R, Smith N, Patel C, Malone S, Ryan MM, Calvert S, van Eyk CL, Lardelli M, Berkovic SF, Leventer RJ, Richards LJ, Scheffer IE, Gecz J, Corbett MA. Aicardi Syndrome Is a Genetically Heterogeneous Disorder. Genes (Basel) 2023; 14:1565. [PMID: 37628618 PMCID: PMC10454071 DOI: 10.3390/genes14081565] [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: 06/20/2023] [Revised: 07/25/2023] [Accepted: 07/26/2023] [Indexed: 08/27/2023] Open
Abstract
Aicardi Syndrome (AIC) is a rare neurodevelopmental disorder recognized by the classical triad of agenesis of the corpus callosum, chorioretinal lacunae and infantile epileptic spasms syndrome. The diagnostic criteria of AIC were revised in 2005 to include additional phenotypes that are frequently observed in this patient group. AIC has been traditionally considered as X-linked and male lethal because it almost exclusively affects females. Despite numerous genetic and genomic investigations on AIC, a unifying X-linked cause has not been identified. Here, we performed exome and genome sequencing of 10 females with AIC or suspected AIC based on current criteria. We identified a unique de novo variant, each in different genes: KMT2B, SLF1, SMARCB1, SZT2 and WNT8B, in five of these females. Notably, genomic analyses of coding and non-coding single nucleotide variants, short tandem repeats and structural variation highlighted a distinct lack of X-linked candidate genes. We assessed the likely pathogenicity of our candidate autosomal variants using the TOPflash assay for WNT8B and morpholino knockdown in zebrafish (Danio rerio) embryos for other candidates. We show expression of Wnt8b and Slf1 are restricted to clinically relevant cortical tissues during mouse development. Our findings suggest that AIC is genetically heterogeneous with implicated genes converging on molecular pathways central to cortical development.
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Affiliation(s)
- Thuong T. Ha
- School of Biological Sciences, Faculty of Science, University of Adelaide, Adelaide, SA 5005, Australia
- Department of Genetics and Molecular Pathology, Centre for Cancer Biology, An Alliance between SA Pathology and the University of South Australia, Adelaide, SA 5000, Australia
| | - Rosemary Burgess
- Epilepsy Research Centre, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Austin Health, Heidelberg, VIC 3084, Australia (S.F.B.); (I.E.S.)
| | - Morgan Newman
- Alzheimer’s Disease Genetics Laboratory, School of Biological Sciences, Faculty of Science, University of Adelaide, Adelaide, SA 5005, Australia (M.L.)
| | - Ching Moey
- The Queensland Brain Institute, The School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, QLD 4000, Australia
| | - Simone A. Mandelstam
- Department of Paediatrics, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, VIC 3052, Australia
- Department of Medical Imaging, The Royal Children’s Hospital, Melbourne, VIC 3052, Australia
| | - Alison E. Gardner
- Adelaide Medical School and Robinson Research Institute, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA 5005, Australia (M.A.C.)
| | - Atma M. Ivancevic
- Department of Molecular, Cellular, and Developmental Biology, College of Arts and Sciences, University of Colorado, Boulder, CO 80309, USA
| | - Duyen Pham
- Adelaide Medical School and Robinson Research Institute, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA 5005, Australia (M.A.C.)
| | - Raman Kumar
- Adelaide Medical School and Robinson Research Institute, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA 5005, Australia (M.A.C.)
| | - Nicholas Smith
- Adelaide Medical School and Robinson Research Institute, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA 5005, Australia (M.A.C.)
- Department of Neurology, Women’s and Children’s Hospital, North Adelaide, SA 5006, Australia
| | - Chirag Patel
- Genetic Health Queensland, Royal Brisbane and Women’s Hospital, Herston, QLD 4029, Australia
| | - Stephen Malone
- Queensland Children’s Hospital, South Brisbane, QLD 4101, Australia
| | - Monique M. Ryan
- Department of Paediatrics, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, VIC 3052, Australia
- Department of Neurology, The Royal Children’s Hospital, Parkville, VIC 3052, Australia
- Murdoch Children’s Research Institute, Parkville, VIC 3052, Australia
| | - Sophie Calvert
- Department of Neurosciences, Queensland Children’s Hospital, South Brisbane, QLD 4101, Australia;
| | - Clare L. van Eyk
- Adelaide Medical School and Robinson Research Institute, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA 5005, Australia (M.A.C.)
| | - Michael Lardelli
- Alzheimer’s Disease Genetics Laboratory, School of Biological Sciences, Faculty of Science, University of Adelaide, Adelaide, SA 5005, Australia (M.L.)
| | - Samuel F. Berkovic
- Epilepsy Research Centre, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Austin Health, Heidelberg, VIC 3084, Australia (S.F.B.); (I.E.S.)
| | - Richard J. Leventer
- Department of Paediatrics, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, VIC 3052, Australia
- Department of Neurology, The Royal Children’s Hospital, Parkville, VIC 3052, Australia
- Murdoch Children’s Research Institute, Parkville, VIC 3052, Australia
| | - Linda J. Richards
- The Queensland Brain Institute, The School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, QLD 4000, Australia
- Department of Neuroscience, School of Medicine, Washington University, St Louis, MO 63110, USA
| | - Ingrid E. Scheffer
- Epilepsy Research Centre, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Austin Health, Heidelberg, VIC 3084, Australia (S.F.B.); (I.E.S.)
- Department of Paediatrics, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, VIC 3052, Australia
- Department of Neurology, The Royal Children’s Hospital, Parkville, VIC 3052, Australia
- Murdoch Children’s Research Institute, Parkville, VIC 3052, Australia
- Florey Institute of Neuroscience and Mental Health, Parkville, VIC 3052, Australia
| | - Jozef Gecz
- School of Biological Sciences, Faculty of Science, University of Adelaide, Adelaide, SA 5005, Australia
- Adelaide Medical School and Robinson Research Institute, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA 5005, Australia (M.A.C.)
- South Australian Health and Medical Research Institute, Adelaide, SA 5000, Australia
| | - Mark A. Corbett
- Adelaide Medical School and Robinson Research Institute, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA 5005, Australia (M.A.C.)
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Liu X, Xu W, Leng F, Zhang P, Guo R, Zhang Y, Hao C, Ni X, Li W. NeuroCNVscore: a tissue-specific framework to prioritise the pathogenicity of CNVs in neurodevelopmental disorders. BMJ Paediatr Open 2023; 7:e001966. [PMID: 37407247 DOI: 10.1136/bmjpo-2023-001966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 06/15/2023] [Indexed: 07/07/2023] Open
Abstract
BACKGROUND Neurodevelopmental disorders (NDDs) are associated with altered development of the brain especially in childhood. Copy number variants (CNVs) play a crucial role in the genetic aetiology of NDDs by disturbing gene expression directly at linear sequence or remotely at three-dimensional genome level in a tissue-specific manner. Despite the substantial increase in NDD studies employing whole-genome sequencing, there is no specific tool for prioritising the pathogenicity of CNVs in the context of NDDs. METHODS Using an XGBoost classifier, we integrated 189 features that represent genomic sequences, gene information and functional/genomic segments for evaluating genome-wide CNVs in a neuro/brain-specific manner, to develop a new tool, neuroCNVscore. We used Human Phenotype Ontology to construct an independent NDD-related set. RESULTS Our neuroCNVscore framework (https://github.com/lxsbch/neuroCNVscore) achieved high predictive performance (precision recall=0.82; area under curve=0.85) and outperformed an existing reference method SVScore. Notably, the predicted pathogenic CNVs showed enrichment in known genes associated with autism. CONCLUSIONS NeuroCNVscore prioritises functional, deleterious and pathogenic CNVs in NDDs at whole genome-wide level, which is important for genetic studies and clinical genomic screening of NDDs as well as for providing novel biological insights into NDDs.
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Affiliation(s)
- Xuanshi Liu
- Beijing Children's Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory for Genetics of Birth Defects, Beijing Pediatric Research Institute, Beijing, China
- MOE Key Laboratory of Major Diseaseas in Children, Beijing, China
- Genetics and Birth Defects Control Centre, National Centre for Children's Health, Beijing, China
| | - Wenjian Xu
- Beijing Children's Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory for Genetics of Birth Defects, Beijing Pediatric Research Institute, Beijing, China
- MOE Key Laboratory of Major Diseaseas in Children, Beijing, China
- Genetics and Birth Defects Control Centre, National Centre for Children's Health, Beijing, China
| | - Fei Leng
- Beijing Children's Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory for Genetics of Birth Defects, Beijing Pediatric Research Institute, Beijing, China
- MOE Key Laboratory of Major Diseaseas in Children, Beijing, China
- Genetics and Birth Defects Control Centre, National Centre for Children's Health, Beijing, China
| | - Peng Zhang
- Beijing Children's Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory for Genetics of Birth Defects, Beijing Pediatric Research Institute, Beijing, China
- MOE Key Laboratory of Major Diseaseas in Children, Beijing, China
- Genetics and Birth Defects Control Centre, National Centre for Children's Health, Beijing, China
| | - Ruolan Guo
- Beijing Children's Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory for Genetics of Birth Defects, Beijing Pediatric Research Institute, Beijing, China
- MOE Key Laboratory of Major Diseaseas in Children, Beijing, China
- Genetics and Birth Defects Control Centre, National Centre for Children's Health, Beijing, China
| | - Yue Zhang
- Beijing Children's Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory for Genetics of Birth Defects, Beijing Pediatric Research Institute, Beijing, China
- MOE Key Laboratory of Major Diseaseas in Children, Beijing, China
- Genetics and Birth Defects Control Centre, National Centre for Children's Health, Beijing, China
| | - Chanjuan Hao
- Beijing Children's Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory for Genetics of Birth Defects, Beijing Pediatric Research Institute, Beijing, China
- MOE Key Laboratory of Major Diseaseas in Children, Beijing, China
- Genetics and Birth Defects Control Centre, National Centre for Children's Health, Beijing, China
| | - Xin Ni
- Beijing Children's Hospital, Capital Medical University, Beijing, China
- MOE Key Laboratory of Major Diseaseas in Children, Beijing, China
- National Centre for Children's Health, Beijing, China
| | - Wei Li
- Beijing Children's Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory for Genetics of Birth Defects, Beijing Pediatric Research Institute, Beijing, China
- MOE Key Laboratory of Major Diseaseas in Children, Beijing, China
- Genetics and Birth Defects Control Centre, National Centre for Children's Health, Beijing, China
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Cramer EY, Bartlett J, Chan ER, Gaedigk A, Ratsimbasoa AC, Mehlotra RK, Williams SM, Zimmerman PA. Pharmacogenomic variation in the Malagasy population: implications for the antimalarial drug primaquine metabolism. Pharmacogenomics 2023; 24:583-597. [PMID: 37551613 PMCID: PMC10621762 DOI: 10.2217/pgs-2023-0091] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 07/11/2023] [Indexed: 08/09/2023] Open
Abstract
Aim: Antimalarial primaquine (PQ) eliminates liver hypnozoites of Plasmodium vivax. CYP2D6 gene variation contributes to PQ therapeutic failure. Additional gene variation may contribute to PQ efficacy. Information on pharmacogenomic variation in Madagascar, with vivax malaria and a unique population admixture, is scanty. Methods: The authors performed genome-wide genotyping of 55 Malagasy samples and analyzed data with a focus on a set of 28 pharmacogenes most relevant to PQ. Results: Mainly, the study identified 110 coding or splicing variants, including those that, based on previous studies in other populations, may be implicated in PQ response and copy number variation, specifically in chromosomal regions that contain pharmacogenes. Conclusion: With this pilot information, larger genome-wide association analyses with PQ metabolism and response are substantially more feasible.
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Affiliation(s)
- Estee Y Cramer
- Center for Global Health & Diseases, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA
- Department of Biostatistics & Epidemiology, School of Public Health & Health Sciences, University of Massachusetts Amherst, Amherst, MA 01003, USA
| | - Jacquelaine Bartlett
- Population & Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA
| | - Ernest R Chan
- Population & Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA
- Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Andrea Gaedigk
- Division of Clinical Pharmacology, Toxicology & Therapeutic Innovation, Children's Mercy Research Institute (CMRI), Kansas City, MO 64108, USA
| | - Arsene C Ratsimbasoa
- University of Fianarantsoa, Fianarantsoa, Madagascar
- Centre National d'Application de Recherche Pharmaceutique (CNARP), Antananarivo, Madagascar
| | - Rajeev K Mehlotra
- Center for Global Health & Diseases, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA
| | - Scott M Williams
- Population & Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA
| | - Peter A Zimmerman
- Center for Global Health & Diseases, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA
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Donnelly N, Cunningham A, Salas SM, Bracher-Smith M, Chawner S, Stochl J, Ford T, Raymond FL, Escott-Price V, van den Bree MBM. Identifying the neurodevelopmental and psychiatric signatures of genomic disorders associated with intellectual disability: a machine learning approach. Mol Autism 2023; 14:19. [PMID: 37221545 PMCID: PMC10207854 DOI: 10.1186/s13229-023-00549-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 04/16/2023] [Indexed: 05/25/2023] Open
Abstract
BACKGROUND Genomic conditions can be associated with developmental delay, intellectual disability, autism spectrum disorder, and physical and mental health symptoms. They are individually rare and highly variable in presentation, which limits the use of standard clinical guidelines for diagnosis and treatment. A simple screening tool to identify young people with genomic conditions associated with neurodevelopmental disorders (ND-GCs) who could benefit from further support would be of considerable value. We used machine learning approaches to address this question. METHOD A total of 493 individuals were included: 389 with a ND-GC, mean age = 9.01, 66% male) and 104 siblings without known genomic conditions (controls, mean age = 10.23, 53% male). Primary carers completed assessments of behavioural, neurodevelopmental and psychiatric symptoms and physical health and development. Machine learning techniques (penalised logistic regression, random forests, support vector machines and artificial neural networks) were used to develop classifiers of ND-GC status and identified limited sets of variables that gave the best classification performance. Exploratory graph analysis was used to understand associations within the final variable set. RESULTS All machine learning methods identified variable sets giving high classification accuracy (AUROC between 0.883 and 0.915). We identified a subset of 30 variables best discriminating between individuals with ND-GCs and controls which formed 5 dimensions: conduct, separation anxiety, situational anxiety, communication and motor development. LIMITATIONS This study used cross-sectional data from a cohort study which was imbalanced with respect to ND-GC status. Our model requires validation in independent datasets and with longitudinal follow-up data for validation before clinical application. CONCLUSIONS In this study, we developed models that identified a compact set of psychiatric and physical health measures that differentiate individuals with a ND-GC from controls and highlight higher-order structure within these measures. This work is a step towards developing a screening instrument to identify young people with ND-GCs who might benefit from further specialist assessment.
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Affiliation(s)
- Nicholas Donnelly
- Centre for Academic Mental Health, Population Health Sciences, University of Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Adam Cunningham
- Division of Psychological Medicine and Clinical Neurosciences, Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University School of Medicine, Hadyn Ellis Building, Maindy Road, Cathays, Cardiff, CF24 4HQ, UK
| | - Sergio Marco Salas
- Division of Psychological Medicine and Clinical Neurosciences, Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University School of Medicine, Hadyn Ellis Building, Maindy Road, Cathays, Cardiff, CF24 4HQ, UK
| | - Matthew Bracher-Smith
- Division of Psychological Medicine and Clinical Neurosciences, Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University School of Medicine, Hadyn Ellis Building, Maindy Road, Cathays, Cardiff, CF24 4HQ, UK
| | - Samuel Chawner
- Division of Psychological Medicine and Clinical Neurosciences, Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University School of Medicine, Hadyn Ellis Building, Maindy Road, Cathays, Cardiff, CF24 4HQ, UK
| | - Jan Stochl
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Department of Kinanthropology, Charles University, Prague, Czechia
| | - Tamsin Ford
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - F Lucy Raymond
- Department of Medical Genetics, University of Cambridge, Cambridge, UK
| | - Valentina Escott-Price
- Division of Psychological Medicine and Clinical Neurosciences, Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University School of Medicine, Hadyn Ellis Building, Maindy Road, Cathays, Cardiff, CF24 4HQ, UK
| | - Marianne B M van den Bree
- Division of Psychological Medicine and Clinical Neurosciences, Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University School of Medicine, Hadyn Ellis Building, Maindy Road, Cathays, Cardiff, CF24 4HQ, UK.
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44
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Yu L, Ding H, Liu M, Liu L, Zhang Q, Lu J, Guo F, Zhang Y. A novel 1p13.2 deletion associates with neurodevelopmental disorders in a three-generation pedigree. BMC Med Genomics 2023; 16:114. [PMID: 37221554 DOI: 10.1186/s12920-023-01534-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 05/05/2023] [Indexed: 05/25/2023] Open
Abstract
BACKGROUND A multitude of studies have highlighted that copy number variants (CNVs) are associated with neurodevelopmental disorders (NDDs) characterized by a wide range of clinical characteristics. Benefiting from CNV calling from WES data, WES has emerged as a more powerful and cost-effective molecular diagnostic tool, which has been widely used for the diagnosis of genetic diseases, especially NDDs. To our knowledge, isolated deletions on chromosome 1p13.2 are rare. To date, only a few patients were reported with 1p13.2 deletions and most of them were sporadic. Besides, the correlation between 1p13.2 deletions and NDDs remained unclear. CASE PRESENTATION Here, we first reported five members in a three-generation Chinese family who presented with NDDs and carried a novel 1.41 Mb heterozygous 1p13.2 deletion with precise breakpoints. The diagnostic deletion contained 12 protein-coding genes and was observed to segregate with NDDs among the members of our reported family. Whether those genes contribute to the patient's phenotypes is still inconclusive. CONCLUSIONS We hypothesized that the NDD phenotype of our patients was caused by the diagnostic 1p13.2 deletion. However, further in-depth functional experiments are still needed to establish a 1p13.2 deletion-NDDs relationship. Our study might supplement the spectrum of 1p13.2 deletion-NDDs.
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Affiliation(s)
- Lihua Yu
- Medical Genetics Centre, Guangdong Women and Children Hospital, Guangzhou, Guangdong, China
| | - Hongke Ding
- Medical Genetics Centre, Guangdong Women and Children Hospital, Guangzhou, Guangdong, China
| | - Min Liu
- Prenatal diagnostic center, Huizhou No2 Maternal and Children's Healthcare Hospital, Huizhou, China
| | - Ling Liu
- Medical Genetics Centre, Guangdong Women and Children Hospital, Guangzhou, Guangdong, China
| | - Qi Zhang
- Medical Genetics Centre, Guangdong Women and Children Hospital, Guangzhou, Guangdong, China
| | - Jian Lu
- Medical Genetics Centre, Guangdong Women and Children Hospital, Guangzhou, Guangdong, China
| | - Fangfang Guo
- Medical Genetics Centre, Guangdong Women and Children Hospital, Guangzhou, Guangdong, China
| | - Yan Zhang
- Medical Genetics Centre, Guangdong Women and Children Hospital, Guangzhou, Guangdong, China.
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Gupta S, Mathur P, Mishra AK, Medicherla KM, Bandapalli OR, Suravajhala P. Whole Exome-Trio Analysis Reveals Rare Variants Associated with Congenital Pouch Colon. CHILDREN (BASEL, SWITZERLAND) 2023; 10:children10050902. [PMID: 37238450 DOI: 10.3390/children10050902] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 04/18/2023] [Accepted: 04/19/2023] [Indexed: 05/28/2023]
Abstract
Anorectal malformations (ARM) are individually common, but Congenital Pouch Colon (CPC) is a rare anorectal anomaly that causes a dilated pouch and communication with the genitourinary tract. In this work, we attempted to identify de novo heterozygous missense variants, and further discovered variants of unknown significance (VUS) which could provide insights into CPC manifestation. From whole exome sequencing (WES) performed earlier, the trio exomes were analyzed from those who were admitted to J.K. Lon Hospital, SMS Medical College, Jaipur, India, between 2011 and 2017. The proband exomes were compared with the unaffected sibling/family members, and we sought to ask whether any variants of significant interest were associated with the CPC manifestation. The WES data from a total of 64 samples including 16 affected neonates (11 male and 5 female) with their parents and unaffected siblings were used for the study. We examined the role of rare allelic variation associated with CPC in a 16 proband/parent trio family, comparing the mutations to those of their unaffected parents/siblings. We also performed RNA-Seq as a pilot to find whether or not the genes harboring these mutations were differentially expressed. Our study revealed extremely rare variants, viz., TAF1B, MUC5B and FRG1, which were further validated for disease-causing mutations associated with CPC, further closing the gaps of surgery by bringing intervention in therapies.
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Affiliation(s)
- Sonal Gupta
- Department of Biotechnology and Bioinformatics, Birla Institute of Scientific Research (BISR), Statue Circle, Jaipur 302021, India
- Amity Institute of Biotechnology, Amity University Rajasthan, Kant Kalwar, Jaipur 303002, India
| | - Praveen Mathur
- Department of Pediatric Surgery, SMS Medical College and Hospital, JLN Marg, Jaipur 302004, India
| | | | - Krishna Mohan Medicherla
- Department of Biotechnology and Bioinformatics, Birla Institute of Scientific Research (BISR), Statue Circle, Jaipur 302021, India
- Department of Bioengineering, Birla Institute of Technology, Mesra, Jaipur Campus, 27-Malaviya Industrial, Area, Jaipur 302017, India
| | | | - Prashanth Suravajhala
- Department of Biotechnology and Bioinformatics, Birla Institute of Scientific Research (BISR), Statue Circle, Jaipur 302021, India
- Bioclues.org, Hyderabad 500072, India
- Amrita School of Biotechnology, Amrita University, Vallikavu, Clappana P.O. Box 690525, Kerala, India
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46
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Bouassida M, Egloff M, Levy J, Chatron N, Bernardini L, Le Guyader G, Tabet AC, Schluth-Bolard C, Brancati F, Giuffrida MG, Dard R, Clorennec J, Coursimault J, Vialard F, Hervé B. 2p25.3 microduplications involving MYT1L: further phenotypic characterization through an assessment of 16 new cases and a literature review. Eur J Hum Genet 2023:10.1038/s41431-023-01379-9. [PMID: 37188826 PMCID: PMC10400587 DOI: 10.1038/s41431-023-01379-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2022] [Revised: 04/03/2023] [Accepted: 04/26/2023] [Indexed: 05/17/2023] Open
Abstract
Microduplications involving the MYT1L gene have mostly been described in series of patients with isolated schizophrenia. However, few reports have been published, and the phenotype has still not been well characterized. We sought to further characterize the phenotypic spectrum of this condition by describing the clinical features of patients with a pure 2p25.3 microduplication that includes all or part of MYT1L. We assessed 16 new patients with pure 2p25.3 microduplications recruited through a French national collaboration (n = 15) and the DECIPHER database (n = 1). We also reviewed 27 patients reported in the literature. For each case, we recorded clinical data, the microduplication size, and the inheritance pattern. The clinical features were variable and included developmental and speech delays (33%), autism spectrum disorder (ASD, 23%), mild-to-moderate intellectual disability (ID, 21%), schizophrenia (23%), or behavioral disorders (16%). Eleven patients did not have an obvious neuropsychiatric disorder. The microduplications ranged from 62.4 kb to 3.8 Mb in size and led to duplication of all or part of MYT1L; seven of these duplications were intragenic. The inheritance pattern was available for 18 patients: the microduplication was inherited in 13 cases, and all parents but one had normal phenotype. Our comprehensive review and expansion of the phenotypic spectrum associated with 2p25.3 microduplications involving MYT1L should help clinicians to better assess, counsel and manage affected individuals. MYT1L microduplications are characterized by a spectrum of neuropsychiatric phenotypes with incomplete penetrance and variable expressivity, which are probably due to as-yet unknown genetic and nongenetic modifiers.
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Affiliation(s)
- Malek Bouassida
- Département de Génétique, Laboratoire de Biologie Médicale, CHI de Poissy-St Germain en Laye, F-78300, Poissy, France.
| | - Matthieu Egloff
- Service de Génétique, Centre Hospitalier Universitaire de Poitiers, F-86021, Poitiers, France
| | - Jonathan Levy
- Département de Génétique, Hôpital Robert Debré, APHP, F-75019, Paris, France
| | - Nicolas Chatron
- Service de cytogénétique, Groupement Hospitalier Est, Hospices Civils de Lyon, F-69500, Bron, France
| | | | - Gwenaël Le Guyader
- Service de Génétique, Centre Hospitalier Universitaire de Poitiers, F-86021, Poitiers, France
| | - Anne-Claude Tabet
- Département de Génétique, Hôpital Robert Debré, APHP, F-75019, Paris, France
| | - Caroline Schluth-Bolard
- Service de cytogénétique, Groupement Hospitalier Est, Hospices Civils de Lyon, F-69500, Bron, France
| | - Francesco Brancati
- Department of Life, Health and Environmental Sciences, University of L'Aquila Piazzale Salvatore Tommasi, It-67100, Coppito - L'Aquila, Italy
- San Raffaele Roma, IRCCS, It-00163, Roma, Italy
| | | | - Rodolphe Dard
- Département de Génétique, Laboratoire de Biologie Médicale, CHI de Poissy-St Germain en Laye, F-78300, Poissy, France
- RHuMA Team, UMR-BREED, INRA-UVSQ-ENVA, UFR Simone Veil Santé, F-78380, Montigny-le-Bretonneux, France
| | - Juliette Clorennec
- Département de Génétique, Laboratoire de Biologie Médicale, CHI de Poissy-St Germain en Laye, F-78300, Poissy, France
- RHuMA Team, UMR-BREED, INRA-UVSQ-ENVA, UFR Simone Veil Santé, F-78380, Montigny-le-Bretonneux, France
| | - Juliette Coursimault
- Department of Genetics and Reference Center for Developmental Disorders, Normandie Univ, UNIROUEN, Inserm U1245 and CHU Rouen, F-76000, Rouen, France
| | - François Vialard
- Département de Génétique, Laboratoire de Biologie Médicale, CHI de Poissy-St Germain en Laye, F-78300, Poissy, France.
- RHuMA Team, UMR-BREED, INRA-UVSQ-ENVA, UFR Simone Veil Santé, F-78380, Montigny-le-Bretonneux, France.
| | - Bérénice Hervé
- Département de Génétique, Laboratoire de Biologie Médicale, CHI de Poissy-St Germain en Laye, F-78300, Poissy, France
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47
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Porubsky D, Harvey WT, Rozanski AN, Ebler J, Höps W, Ashraf H, Hasenfeld P, Paten B, Sanders AD, Marschall T, Korbel JO, Eichler EE. Inversion polymorphism in a complete human genome assembly. Genome Biol 2023; 24:100. [PMID: 37122002 PMCID: PMC10150506 DOI: 10.1186/s13059-023-02919-8] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 03/31/2023] [Indexed: 05/02/2023] Open
Abstract
The telomere-to-telomere (T2T) complete human reference has significantly improved our ability to characterize genome structural variation. To understand its impact on inversion polymorphisms, we remapped data from 41 genomes against the T2T reference genome and compared it to the GRCh38 reference. We find a ~ 21% increase in sensitivity improving mapping of 63 inversions on the T2T reference. We identify 26 misorientations within GRCh38 and show that the T2T reference is three times more likely to represent the correct orientation of the major human allele. Analysis of 10 additional samples reveals novel rare inversions at chromosomes 15q25.2, 16p11.2, 16q22.1-23.1, and 22q11.21.
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Affiliation(s)
- David Porubsky
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, 98195, USA
| | - William T Harvey
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, 98195, USA
| | - Allison N Rozanski
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, 98195, USA
| | - Jana Ebler
- Institute for Medical Biometry and Bioinformatics, Medical Faculty, Heinrich Heine University, Moorenstraße 5, 40225, Düsseldorf, Germany
| | - Wolfram Höps
- European Molecular Biology Laboratory (EMBL), Genome Biology Unit, Meyerhofstr. 1, 69117, Heidelberg, Germany
| | - Hufsah Ashraf
- Institute for Medical Biometry and Bioinformatics, Medical Faculty, Heinrich Heine University, Moorenstraße 5, 40225, Düsseldorf, Germany
| | - Patrick Hasenfeld
- European Molecular Biology Laboratory (EMBL), Genome Biology Unit, Meyerhofstr. 1, 69117, Heidelberg, Germany
| | - Benedict Paten
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, 95064, USA
| | - Ashley D Sanders
- Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine, Helmholtz Association, 10115, Berlin, Germany
- Berlin Institute of Health (BIH), 10178, Berlin, Germany
- Charité-Universitätsmedizin, 10117, Berlin, Germany
| | - Tobias Marschall
- Institute for Medical Biometry and Bioinformatics, Medical Faculty, Heinrich Heine University, Moorenstraße 5, 40225, Düsseldorf, Germany
- Center for Digital Medicine, Heinrich Heine University, Moorenstraße 5, 40225, Düsseldorf, Germany
| | - Jan O Korbel
- European Molecular Biology Laboratory (EMBL), Genome Biology Unit, Meyerhofstr. 1, 69117, Heidelberg, Germany
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - Evan E Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, 98195, USA.
- Howard Hughes Medical Institute, University of Washington, Seattle, WA, 98195, USA.
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48
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Quinn LM, Haldenby S, Antzcak P, Fowler A, Bullock K, Kenny J, Gilbert T, Andrews T, Diaz-Nieto R, Fenwick S, Jones R, Costello-Goldring E, Poston G, Greenhalf W, Palmer D, Malik H, Goldring C. Genomic profiling of idiopathic peri-hilar cholangiocarcinoma reveals new targets and mutational pathways. Sci Rep 2023; 13:6681. [PMID: 37095160 PMCID: PMC10126102 DOI: 10.1038/s41598-023-33096-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 04/07/2023] [Indexed: 04/26/2023] Open
Abstract
Peri-hilar cholangiocarcinoma (pCCA) is chemorefractory and limited genomic analyses have been undertaken in Western idiopathic disease. We undertook comprehensive genomic analyses of a U.K. idiopathic pCCA cohort to characterize its mutational profile and identify new targets. Whole exome and targeted DNA sequencing was performed on forty-two resected pCCA tumors and normal bile ducts, with Gene Set Enrichment Analysis (GSEA) using one-tailed testing to generate false discovery rates (FDR). 60% of patients harbored one cancer-associated mutation, with two mutations in 20%. High frequency somatic mutations in genes not typically associated with cholangiocarcinoma included mTOR, ABL1 and NOTCH1. We identified non-synonymous mutation (p.Glu38del) in MAP3K9 in ten tumors, associated with increased peri-vascular invasion (Fisher's exact, p < 0.018). Mutation-enriched pathways were primarily immunological, including innate Dectin-2 (FDR 0.001) and adaptive T-cell receptor pathways including PD-1 (FDR 0.007), CD4 phosphorylation (FDR 0.009) and ZAP70 translocation (FDR 0.009), with overlapping HLA genes. We observed cancer-associated mutations in over half of our patients. Many of these mutations are not typically associated with cholangiocarcinoma yet may increase eligibility for contemporary targeted trials. We also identified a targetable MAP3K9 mutation, in addition to oncogenic and immunological pathways hitherto not described in any cholangiocarcinoma subtype.
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Affiliation(s)
- Leonard M Quinn
- Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, Sherrington Building, University of Liverpool, Liverpool, UK.
| | - Sam Haldenby
- Centre for Genomic Research, University of Liverpool, Liverpool, UK
| | - Philip Antzcak
- Computational Biology Facility, University of Liverpool, Liverpool, UK
| | - Anna Fowler
- Department of Health Data Science, University of Liverpool, Liverpool, UK
| | - Katie Bullock
- Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, Sherrington Building, University of Liverpool, Liverpool, UK
| | - John Kenny
- Centre for Genomic Research, University of Liverpool, Liverpool, UK
| | - Timothy Gilbert
- Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, Sherrington Building, University of Liverpool, Liverpool, UK
| | - Timothy Andrews
- Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK
| | | | - Stephen Fenwick
- Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK
| | - Robert Jones
- Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK
| | - Eithne Costello-Goldring
- Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, Sherrington Building, University of Liverpool, Liverpool, UK
| | - Graeme Poston
- Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK
| | - William Greenhalf
- Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, Sherrington Building, University of Liverpool, Liverpool, UK
| | - Daniel Palmer
- Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, Sherrington Building, University of Liverpool, Liverpool, UK
| | - Hassan Malik
- Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK
| | - Chris Goldring
- Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, Sherrington Building, University of Liverpool, Liverpool, UK.
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49
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Kopal J, Kumar K, Shafighi K, Saltoun K, Modenato C, Moreau CA, Huguet G, Jean-Louis M, Martin CO, Saci Z, Younis N, Douard E, Jizi K, Beauchamp-Chatel A, Kushan L, Silva AI, van den Bree MBM, Linden DEJ, Owen MJ, Hall J, Lippé S, Draganski B, Sønderby IE, Andreassen OA, Glahn DC, Thompson PM, Bearden CE, Zatorre R, Jacquemont S, Bzdok D. Using rare genetic mutations to revisit structural brain asymmetry. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.04.17.537199. [PMID: 37131672 PMCID: PMC10153125 DOI: 10.1101/2023.04.17.537199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Asymmetry between the left and right brain is a key feature of brain organization. Hemispheric functional specialization underlies some of the most advanced human-defining cognitive operations, such as articulated language, perspective taking, or rapid detection of facial cues. Yet, genetic investigations into brain asymmetry have mostly relied on common variant studies, which typically exert small effects on brain phenotypes. Here, we leverage rare genomic deletions and duplications to study how genetic alterations reverberate in human brain and behavior. We quantitatively dissected the impact of eight high-effect-size copy number variations (CNVs) on brain asymmetry in a multi-site cohort of 552 CNV carriers and 290 non-carriers. Isolated multivariate brain asymmetry patterns spotlighted regions typically thought to subserve lateralized functions, including language, hearing, as well as visual, face and word recognition. Planum temporale asymmetry emerged as especially susceptible to deletions and duplications of specific gene sets. Targeted analysis of common variants through genome-wide association study (GWAS) consolidated partly diverging genetic influences on the right versus left planum temporale structure. In conclusion, our gene-brain-behavior mapping highlights the consequences of genetically controlled brain lateralization on human-defining cognitive traits.
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50
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Wiener EK, Buchanan J, Krause A, Lombard Z. Retrospective file review shows limited genetic services fails most patients - an argument for the implementation of exome sequencing as a first-tier test in resource-constraint settings. Orphanet J Rare Dis 2023; 18:81. [PMID: 37046271 PMCID: PMC10091645 DOI: 10.1186/s13023-023-02642-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 02/12/2023] [Indexed: 04/14/2023] Open
Abstract
BACKGROUND Exome sequencing is recommended as a first-line investigation for patients with a developmental delay or intellectual disability. This approach has not been implemented in most resource-constraint settings, including Africa, due to the high cost of implementation. Instead, patients have limited access to services and testing options. Here, we evaluate the effectiveness of a limited genetic testing strategy and contrast the findings to a conceivable outcome if exome sequencing were available instead. RESULTS A retrospective audit of 934 patient files presenting to a medical genetics clinic in South Africa showed that 83% of patients presented with developmental delay as a clinical feature. Patients could be divided into three groups, representing distinct diagnostic pathways. Patient Group A (18%; mean test cost $131) were confirmed with aneuploidies, following a simple, inexpensive test. Patient Group B (25%; mean test cost $140) presented with clinically recognizable conditions but only 39% received a genetic diagnostic confirmation due to limited testing options. Patient Group C - the largest group (57%; mean test cost $337) - presented with heterogenous conditions and DD, and 92% remained undiagnosed after limited available testing was performed. CONCLUSIONS Patients with DD are the largest group of patients seen in medical genetics clinics in South Africa. When clinical features are not distinct, limited testing options drastically restricts diagnostic yield. A cost- and time analysis shows most patients would benefit from first-line exome sequencing, reducing their individual diagnostic odysseys.
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Affiliation(s)
- Emma K Wiener
- Division of Human Genetics, National Health Laboratory Service and School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - James Buchanan
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- NIHR Oxford Biomedical Research Centre, Oxford, UK
| | - Amanda Krause
- Division of Human Genetics, National Health Laboratory Service and School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Zané Lombard
- Division of Human Genetics, National Health Laboratory Service and School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
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