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Bradshaw MS, Raychaudhuri J, Murphy L, Barnard R, Firman T, Gaskell AA, Layer RM. Rapid, Reliable, and Interpretable Copy Number Variant Curation Visualizations for Diagnostic Settings with SeeNV. J Mol Diagn 2025; 27:336-345. [PMID: 40044036 DOI: 10.1016/j.jmoldx.2025.01.008] [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: 05/09/2024] [Revised: 12/05/2024] [Accepted: 01/15/2025] [Indexed: 03/10/2025] Open
Abstract
Copy number variants (CNVs), structural alterations in the genome involving duplication or deletion of DNA segments, are implicated in various health conditions. Despite their clinical significance, accurate identification and interpretation of CNVs remain challenging, especially in the context of whole-exome sequencing (WES), which is commonly used in clinical diagnostic laboratories. Although WES offers economic advantages over whole-genome sequencing, it struggles with CNV detection because of technical noise introduced by laboratory and analytic processes. Manual curation of CNV calls generated by these tools is labor intensive and error prone. To address this, SeeNV, a command-line tool, is introduced to aid manual curation of CNVs at scale. SeeNV is one solution to these issues, developed in collaboration with and used by the Precision Diagnostics Laboratory at Children's Hospital Colorado. SeeNV generates static infographics for each CNV, incorporating sample and cohort sequencing coverage statistics, CNV population frequency, and, more, facilitating rapid and precise assessment. Using CNV calls identified in publicly available WES and whole-genome sequencing samples, users can rapidly and reliably curate CNV calls, needing only 4.3 seconds to curate a call, achieving 0.95 recall (analytical sensitivity) and 0.74 precision (positive predictive value). SeeNV is freely available for download on GitHub.
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Affiliation(s)
- Michael S Bradshaw
- Department of Computer Science, University of Colorado Boulder, Boulder, Colorado
| | - Jishnu Raychaudhuri
- Department of Computer Science, University of Colorado Boulder, Boulder, Colorado
| | - Lachlan Murphy
- Department of Computer Science, University of Colorado Boulder, Boulder, Colorado
| | - Rebecca Barnard
- Precision Medicine Institute, Children's Hospital Colorado, Aurora, Colorado
| | - Taylor Firman
- Precision Medicine Institute, Children's Hospital Colorado, Aurora, Colorado
| | - Alisa A Gaskell
- Precision Medicine Institute, Children's Hospital Colorado, Aurora, Colorado.
| | - Ryan M Layer
- Department of Computer Science, University of Colorado Boulder, Boulder, Colorado.
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2
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Bennett JJ, Saint-Martin C, Neumann B, Männistö JME, Houghton JAL, Empting S, Johnson MB, Laver TW, Locke JM, Spurrier B, Wakeling MN, Banerjee I, Dastamani A, Demirbilek H, Mitchell J, Stange M, Mohnike K, Arnoux JB, Owens NDL, Zenker M, Bellanné-Chantelot C, Flanagan SE. Non-coding cis-regulatory variants in HK1 cause congenital hyperinsulinism with variable disease severity. Genome Med 2025; 17:17. [PMID: 40033430 PMCID: PMC11874398 DOI: 10.1186/s13073-025-01440-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2024] [Accepted: 02/14/2025] [Indexed: 03/05/2025] Open
Abstract
BACKGROUND We recently reported non-coding variants in a cis-regulatory element of the beta-cell disallowed gene hexokinase 1 (HK1) as a novel cause of congenital hyperinsulinism. These variants lead to a loss of repression of HK1 in pancreatic beta-cells, causing insulin secretion during hypoglycaemia. In this study, we aimed to determine the prevalence, genetics, and phenotype of HK1-hyperinsulinism by screening a large international cohort of patients living with the condition. METHODS We screened the HK1 cis-regulatory region in 1761 probands with hyperinsulinism of unknown aetiology who had been referred to one of three large European genomics laboratories. RESULTS We identified a HK1 variant in 89/1761 probands (5%) and 63 family members. Within the Exeter HI cohort, these variants accounted for 2.8% of all positive genetic diagnoses (n = 54/1913) establishing this as an important cause of HI. Individuals with a disease-causing variant were diagnosed with hyperinsulinism between birth and 26 years (median: 7 days) with variable response to treatment; 80% were medically managed and 20% underwent pancreatic surgery due to poor response to medical therapy. Glycaemic outcomes varied from spontaneous remission to hypoglycaemia persisting into adulthood. Eight probands had inherited the variant from a parent not reported to have hyperinsulinism (median current age: 39 years), confirming variable penetrance. Two of the 23 novel HK1 variants allowed us to extend the minimal cis-regulatory region from 42 to 46 bp. CONCLUSIONS Non-coding variants within the HK1 cis-regulatory region cause hyperinsulinism of variable severity ranging from neonatal-onset, treatment-resistant disease to being asymptomatic into adulthood. Discovering variants in 89 families confirms HK1 as a major cause of hyperinsulinism and highlights the important role of the non-coding genome in human monogenic disease.
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Affiliation(s)
- Jasmin J Bennett
- Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, EX2 5DW, UK
| | - Cécile Saint-Martin
- Department of Medical Genetics, AP-HP Sorbonne University, Pitié-Salpêtrière Hospital, 75013, Paris, France
| | - Bianca Neumann
- Institute of Human Genetics, University Hospital, Otto-Von-Guericke University Magdeburg, Leipziger Str. 44, Magdeburg, 39120, Germany
| | - Jonna M E Männistö
- Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, EX2 5DW, UK
- Kuopio Pediatric Research Unit (KuPRU), University of Eastern Finland, Kuopio, 70029, Finland
| | - Jayne A L Houghton
- Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, EX2 5DW, UK
- Exeter Genomics Laboratory, Royal Devon University Healthcare NHS Foundation Trust, Exeter, EX2 5DW, UK
| | - Susann Empting
- Children's University Hospital, Otto-Von-Guericke University Magdeburg, Leipziger Str. 44, Magdeburg, 39120, Germany
| | - Matthew B Johnson
- Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, EX2 5DW, UK
| | - Thomas W Laver
- Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, EX2 5DW, UK
| | - Jonathan M Locke
- Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, EX2 5DW, UK
| | - Benjamin Spurrier
- Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, EX2 5DW, UK
| | - Matthew N Wakeling
- Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, EX2 5DW, UK
| | - Indraneel Banerjee
- Department of Paediatric Endocrinology, Royal Manchester Children's Hospital, Manchester, M13 9WL, UK
| | - Antonia Dastamani
- Endocrinology Department, Great Ormond Street Hospital for Children, London, WC1N 3JH, UK
| | - Hüseyin Demirbilek
- Faculty of Medicine, Department of Pediatric Endocrinology, Hacettepe University, Ankara, Turkey
| | - John Mitchell
- Pediatric Endocrinology and Biochemical Genetics, Human Genetics and Pediatrics, Montreal Children's Hospital-McGill University, McGill University, Montreal, Canada
| | - Markus Stange
- Department of Pediatrics, University Hospital Halle, Ernst Grube Str. 40, Halle, 06120, Germany
| | - Klaus Mohnike
- Children's University Hospital, Otto-Von-Guericke University Magdeburg, Leipziger Str. 44, Magdeburg, 39120, Germany
| | - Jean-Baptiste Arnoux
- Reference Center for Inherited Metabolic Diseases, Necker-Enfants-Malades University Hospital, APHP, Imagine Institute, G2M, MetabERN, Paris Cité University, Paris, 75015, France
| | - Nick D L Owens
- Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, EX2 5DW, UK
| | - Martin Zenker
- Institute of Human Genetics, University Hospital, Otto-Von-Guericke University Magdeburg, Leipziger Str. 44, Magdeburg, 39120, Germany
| | | | - Sarah E Flanagan
- Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, EX2 5DW, UK.
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Flanagan SE, Lazaridi IA, Männistö JME, Bennett JJ, Kalyon O, Johnson MB, Wakeling MN, Houghton JAL, Laver TW. Large copy number variants are an important cause of congenital hyperinsulinism that should be screened for during routine testing. Front Endocrinol (Lausanne) 2025; 16:1514916. [PMID: 40041288 PMCID: PMC11876054 DOI: 10.3389/fendo.2025.1514916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2024] [Accepted: 01/28/2025] [Indexed: 03/06/2025] Open
Abstract
Introduction Congenital hyperinsulinism (HI) is characterized by inappropriate insulin secretion from the pancreatic beta-cells which causes severe hypoglycemia. Copy number variants (CNVs) encompassing multiple genes (contiguous gene CNVs) can cause syndromic forms of HI although they are not typically screened for during routine genetic testing for this condition. We aimed to assess the prevalence of disease-causing contiguous gene CNVs in a cohort of individuals referred for HI genetic testing. Methods Our cohort consisted of 3,763 individuals, of which 1,916 had received a genetic diagnosis for their HI and 1,847 were genetically unsolved following routine testing. We screened for 6 different contiguous gene CNVs using next-generation sequencing data from all individuals in the genetically unsolved cohort and searched for patients in our solved cohort who had already been found to have one of these CNVs. Results We identified a contiguous gene CNV affecting 5 of the 6 genomic loci in 53 probands; 28 from the solved cohort and 25 from the genetically unsolved cohort. Variants on the X chromosome were most common, being detected in 24/53 children. Overall, these variants represented 2.7% (53/1,941) of genetic diagnoses, which is similar to the prevalence of variants in other commonly screened HI genes. Discussion These results confirm that contiguous gene CNVs are an important cause of HI which should be included in standard gene panel testing processes as this will improve pick-up rates for genetic diagnoses in HI.
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Affiliation(s)
- Sarah E. Flanagan
- Department of Clinical and Biomedical Science, University of Exeter, Exeter, United Kingdom
| | - Isabella-Anna Lazaridi
- Department of Clinical and Biomedical Science, University of Exeter, Exeter, United Kingdom
| | - Jonna M. E. Männistö
- Department of Clinical and Biomedical Science, University of Exeter, Exeter, United Kingdom
- Kuopio Pediatric Research Unit (KuPRu), University of Eastern Finland, Kuopio, Finland
| | - Jasmin J. Bennett
- Department of Clinical and Biomedical Science, University of Exeter, Exeter, United Kingdom
| | - Oguzhan Kalyon
- Department of Clinical and Biomedical Science, University of Exeter, Exeter, United Kingdom
| | - Matthew B. Johnson
- Department of Clinical and Biomedical Science, University of Exeter, Exeter, United Kingdom
| | - Matthew N. Wakeling
- Department of Clinical and Biomedical Science, University of Exeter, Exeter, United Kingdom
| | - Jayne A. L. Houghton
- Exeter Genomics Laboratory, Royal Devon University Healthcare NHS Foundation Trust, Exeter, United Kingdom
| | - Thomas W. Laver
- Department of Clinical and Biomedical Science, University of Exeter, Exeter, United Kingdom
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4
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Laver TW, Wakeling MN, Caswell RC, Bunce B, Yau D, Männistö JME, Houghton JAL, Hopkins JJ, Weedon MN, Saraff V, Kershaw M, Honey EM, Murphy N, Giri D, Nath S, Tangari Saredo A, Banerjee I, Hussain K, Owens NDL, Flanagan SE. Chromosome 20p11.2 deletions cause congenital hyperinsulinism via the loss of FOXA2 or its regulatory elements. Eur J Hum Genet 2024; 32:813-818. [PMID: 38605124 PMCID: PMC11220097 DOI: 10.1038/s41431-024-01593-z] [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: 09/14/2023] [Revised: 02/20/2024] [Accepted: 03/11/2024] [Indexed: 04/13/2024] Open
Abstract
Persistent congenital hyperinsulinism (HI) is a rare genetically heterogeneous condition characterised by dysregulated insulin secretion leading to life-threatening hypoglycaemia. For up to 50% of affected individuals screening of the known HI genes does not identify a disease-causing variant. Large deletions have previously been used to identify novel regulatory regions causing HI. Here, we used genome sequencing to search for novel large (>1 Mb) deletions in 180 probands with HI of unknown cause and replicated our findings in a large cohort of 883 genetically unsolved individuals with HI using off-target copy number variant calling from targeted gene panels. We identified overlapping heterozygous deletions in five individuals (range 3-8 Mb) spanning chromosome 20p11.2. The pancreatic beta-cell transcription factor gene, FOXA2, a known cause of HI was deleted in two of the five individuals. In the remaining three, we found a minimal deleted region of 2.4 Mb adjacent to FOXA2 that encompasses multiple non-coding regulatory elements that are in conformational contact with FOXA2. Our data suggests that the deletions in these three children may cause disease through the dysregulation of FOXA2 expression. These findings provide new insights into the regulation of FOXA2 in the beta-cell and confirm an aetiological role for chromosome 20p11.2 deletions in syndromic HI.
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Affiliation(s)
- Thomas W Laver
- Department of Clinical and Biomedical Science, University of Exeter Medical School, Exeter, UK
| | - Matthew N Wakeling
- Department of Clinical and Biomedical Science, University of Exeter Medical School, Exeter, UK
| | - Richard C Caswell
- Department of Clinical and Biomedical Science, University of Exeter Medical School, Exeter, UK
| | - Benjamin Bunce
- The Genomics Laboratory, Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK
| | - Daphne Yau
- Department of Clinical and Biomedical Science, University of Exeter Medical School, Exeter, UK
- Department of Paediatric Endocrinology, Royal Manchester Children's Hospital, Manchester, UK
| | - Jonna M E Männistö
- Department of Clinical and Biomedical Science, University of Exeter Medical School, Exeter, UK
- Department of Health Sciences, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Jayne A L Houghton
- The Genomics Laboratory, Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK
| | - Jasmin J Hopkins
- Department of Clinical and Biomedical Science, University of Exeter Medical School, Exeter, UK
| | - Michael N Weedon
- Department of Clinical and Biomedical Science, University of Exeter Medical School, Exeter, UK
| | - Vrinda Saraff
- Department of Paediatric Endocrinology and Diabetes, Birmingham Women's and Children's Hospital, Birmingham, UK
| | - Melanie Kershaw
- Department of Paediatric Endocrinology and Diabetes, Birmingham Women's and Children's Hospital, Birmingham, UK
| | - Engela M Honey
- Department of Biochemistry, Genetics and Microbiology, University of Pretoria, Pretoria, South Africa
| | - Nuala Murphy
- Department of Paediatric Endocrinology, Children's University Hospital, Dublin, Ireland
| | - Dinesh Giri
- Department of Paediatric Endocrinology, Bristol Royal Hospital for Children, Bristol, UK
| | | | | | - Indraneel Banerjee
- Department of Paediatric Endocrinology, Royal Manchester Children's Hospital, Manchester, UK
| | - Khalid Hussain
- Department of Paediatrics, Division of Endocrinology, Sidra Medicine, Doha, Qatar
| | - Nick D L Owens
- Department of Clinical and Biomedical Science, University of Exeter Medical School, Exeter, UK
| | - Sarah E Flanagan
- Department of Clinical and Biomedical Science, University of Exeter Medical School, Exeter, UK.
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5
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Ball M, Ourailidis I, Kluck K, Menzel M, Kirchner M, Allgäuer M, Tay TKY, Schnecko F, Volckmar AL, Goldschmid H, Neuman O, Fröhling S, Schirmacher P, Budczies J, Stenzinger A, Kazdal D. Leveraging Off-Target Reads in Panel Sequencing for Homologous Recombination Repair Deficiency Screening in Tumor. J Mol Diagn 2024; 26:479-486. [PMID: 38522840 DOI: 10.1016/j.jmoldx.2024.02.008] [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: 09/22/2023] [Revised: 01/24/2024] [Accepted: 02/14/2024] [Indexed: 03/26/2024] Open
Abstract
Targeted tumor only sequencing has become a standard practice in cancer diagnostics. This study aims to develop an approach for robust copy number variant calling in tumor samples using only off-target region (OTR) reads. We also established a clinical use case for homologous recombination deficiency (HRD) score estimation (HRDest) using the sum of telomeric-allelic imbalance and large-scale state transition scores without the need for loss of heterozygosity information. A strong correlation was found between HRD score and the sum of telomeric-allelic imbalance + large-scale state transition in The Cancer Genome Atlas cohort (ρ = 0.99, P < 2.2 × 10-16) and in a clinical in-house cohort of 34 tumors (ρ = 0.9, P = 5.1 × 10-13) comparing whole-exome sequencing and targeted sequencing data. HRDest scores from 1086 clinical cases were compared with The Cancer Genome Atlas data set. There were no significant differences in HRD score distribution within the analyzed tumor types. As a control, commercially available HRD standards were also sequenced, and the HRDest scores obtained from the OTR reads were well within the HRD reference range provided by the manufacturer. In conclusion, OTR reads of tumor-only panel sequencing can be used to determine genome-wide copy number variant profiles and to approximate HRD scores.
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Affiliation(s)
- Markus Ball
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | | | - Klaus Kluck
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Michael Menzel
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Martina Kirchner
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Michael Allgäuer
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Timothy Kwang Yong Tay
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany; Department of Anatomical Pathology, Singapore General Hospital, Singapore; Department of Molecular Pathology, Singapore General Hospital, Singapore
| | - Fabian Schnecko
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Anna-Lena Volckmar
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Hannah Goldschmid
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Olaf Neuman
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Stefan Fröhling
- Department of Translational Medical Oncology, National Center for Tumor Diseases, Heidelberg, Germany; German Cancer Consortium, Heidelberg, Germany
| | - Peter Schirmacher
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany; Center for Personalized Medicine Heidelberg, Heidelberg, Germany
| | - Jan Budczies
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany; German Cancer Consortium, Heidelberg, Germany; Center for Personalized Medicine Heidelberg, Heidelberg, Germany; Translational Lung Research Center Heidelberg, German Center for Lung Research, Heidelberg, Germany
| | - Albrecht Stenzinger
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany; German Cancer Consortium, Heidelberg, Germany; Center for Personalized Medicine Heidelberg, Heidelberg, Germany; Translational Lung Research Center Heidelberg, German Center for Lung Research, Heidelberg, Germany.
| | - Daniel Kazdal
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany; German Cancer Consortium, Heidelberg, Germany; Translational Lung Research Center Heidelberg, German Center for Lung Research, Heidelberg, Germany.
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6
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Quinodoz M, Kaminska K, Cancellieri F, Han JH, Peter VG, Celik E, Janeschitz-Kriegl L, Schärer N, Hauenstein D, György B, Calzetti G, Hahaut V, Custódio S, Sousa AC, Wada Y, Murakami Y, Fernández AA, Hernández CR, Minguez P, Ayuso C, Nishiguchi KM, Santos C, Santos LC, Tran VH, Vaclavik V, Scholl HPN, Rivolta C. Detection of elusive DNA copy-number variations in hereditary disease and cancer through the use of noncoding and off-target sequencing reads. Am J Hum Genet 2024; 111:701-713. [PMID: 38531366 PMCID: PMC11023916 DOI: 10.1016/j.ajhg.2024.03.001] [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: 10/23/2023] [Revised: 03/01/2024] [Accepted: 03/01/2024] [Indexed: 03/28/2024] Open
Abstract
Copy-number variants (CNVs) play a substantial role in the molecular pathogenesis of hereditary disease and cancer, as well as in normal human interindividual variation. However, they are still rather difficult to identify in mainstream sequencing projects, especially involving exome sequencing, because they often occur in DNA regions that are not targeted for analysis. To overcome this problem, we developed OFF-PEAK, a user-friendly CNV detection tool that builds on a denoising approach and the use of "off-target" DNA reads, which are usually discarded by sequencing pipelines. We benchmarked OFF-PEAK on data from targeted sequencing of 96 cancer samples, as well as 130 exomes of individuals with inherited retinal disease from three different populations. For both sets of data, OFF-PEAK demonstrated excellent performance (>95% sensitivity and >80% specificity vs. experimental validation) in detecting CNVs from in silico data alone, indicating its immediate applicability to molecular diagnosis and genetic research.
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Affiliation(s)
- Mathieu Quinodoz
- Institute of Molecular and Clinical Ophthalmology Basel (IOB), Basel, Switzerland; Department of Ophthalmology, University of Basel, Basel, Switzerland; Department of Genetics and Genome Biology, University of Leicester, Leicester, UK
| | - Karolina Kaminska
- Institute of Molecular and Clinical Ophthalmology Basel (IOB), Basel, Switzerland; Department of Ophthalmology, University of Basel, Basel, Switzerland
| | - Francesca Cancellieri
- Institute of Molecular and Clinical Ophthalmology Basel (IOB), Basel, Switzerland; Department of Ophthalmology, University of Basel, Basel, Switzerland
| | - Ji Hoon Han
- Institute of Molecular and Clinical Ophthalmology Basel (IOB), Basel, Switzerland; Department of Ophthalmology, University of Basel, Basel, Switzerland
| | - Virginie G Peter
- Institute of Molecular and Clinical Ophthalmology Basel (IOB), Basel, Switzerland; Department of Ophthalmology, University of Basel, Basel, Switzerland; Department of Ophthalmology, Inselspital, Bern University Hospital, Bern, Switzerland
| | - Elifnaz Celik
- Institute of Molecular and Clinical Ophthalmology Basel (IOB), Basel, Switzerland; Department of Ophthalmology, University of Basel, Basel, Switzerland
| | - Lucas Janeschitz-Kriegl
- Institute of Molecular and Clinical Ophthalmology Basel (IOB), Basel, Switzerland; Department of Ophthalmology, University of Basel, Basel, Switzerland
| | - Nils Schärer
- Institute of Molecular and Clinical Ophthalmology Basel (IOB), Basel, Switzerland; Department of Ophthalmology, University of Basel, Basel, Switzerland
| | - Daniela Hauenstein
- Institute of Molecular and Clinical Ophthalmology Basel (IOB), Basel, Switzerland; Department of Ophthalmology, University of Basel, Basel, Switzerland
| | - Bence György
- Institute of Molecular and Clinical Ophthalmology Basel (IOB), Basel, Switzerland; Department of Ophthalmology, University of Basel, Basel, Switzerland
| | - Giacomo Calzetti
- Institute of Molecular and Clinical Ophthalmology Basel (IOB), Basel, Switzerland; Department of Ophthalmology, University of Basel, Basel, Switzerland
| | - Vincent Hahaut
- Institute of Molecular and Clinical Ophthalmology Basel (IOB), Basel, Switzerland; Department of Ophthalmology, University of Basel, Basel, Switzerland
| | - Sónia Custódio
- Department of Medical Genetics, Hospital Santa Maria, Centro Hospitalar Universitário Lisboa Norte (CHULN), Lisbon, Portugal
| | - Ana Cristina Sousa
- Department of Medical Genetics, Hospital Santa Maria, Centro Hospitalar Universitário Lisboa Norte (CHULN), Lisbon, Portugal
| | | | - Yusuke Murakami
- Department of Ophthalmology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Almudena Avila Fernández
- Department of Genetics & Genomics, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain; Centre for Biomedical Network Research On Rare Diseases (CIBERER), Madrid, Spain
| | - Cristina Rodilla Hernández
- Department of Genetics & Genomics, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain; Centre for Biomedical Network Research On Rare Diseases (CIBERER), Madrid, Spain
| | - Pablo Minguez
- Department of Genetics & Genomics, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain; Centre for Biomedical Network Research On Rare Diseases (CIBERER), Madrid, Spain
| | - Carmen Ayuso
- Department of Genetics & Genomics, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain; Centre for Biomedical Network Research On Rare Diseases (CIBERER), Madrid, Spain
| | - Koji M Nishiguchi
- Department of Ophthalmology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Cristina Santos
- NOVA4Health, NOVA Medical School, Faculdade de Ciências Médicas, NMS, FCM, Universidade NOVA de Lisboa, Lisbon, Portugal; Instituto de Oftalmologia Dr Gama Pinto (IOGP), Lisbon, Portugal
| | | | - Viet H Tran
- Unité d'oculogénétique, Jules Gonin Eye Hospital, University of Lausanne, Lausanne, Switzerland; Centre for Gene Therapy and Regenerative Medicine, King's College London, London, UK
| | - Veronika Vaclavik
- Unité d'oculogénétique, Jules Gonin Eye Hospital, University of Lausanne, Lausanne, Switzerland
| | - Hendrik P N Scholl
- Institute of Molecular and Clinical Ophthalmology Basel (IOB), Basel, Switzerland; Department of Ophthalmology, University of Basel, Basel, Switzerland
| | - Carlo Rivolta
- Institute of Molecular and Clinical Ophthalmology Basel (IOB), Basel, Switzerland; Department of Ophthalmology, University of Basel, Basel, Switzerland; Department of Genetics and Genome Biology, University of Leicester, Leicester, UK.
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7
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Featherstone LA, McGaughran A. The effect of missing data on evolutionary analysis of sequence capture bycatch, with application to an agricultural pest. Mol Genet Genomics 2024; 299:11. [PMID: 38381254 PMCID: PMC10881687 DOI: 10.1007/s00438-024-02097-7] [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: 03/27/2023] [Accepted: 12/29/2023] [Indexed: 02/22/2024]
Abstract
Sequence capture is a genomic technique that selectively enriches target sequences before high throughput next-generation sequencing, to generate specific sequences of interest. Off-target or 'bycatch' data are often discarded from capture experiments, but can be leveraged to address evolutionary questions under some circumstances. Here, we investigated the effects of missing data on a variety of evolutionary analyses using bycatch from an exon capture experiment on the global pest moth, Helicoverpa armigera. We added > 200 new samples from across Australia in the form of mitogenomes obtained as bycatch from targeted sequence capture, and combined these into an additional larger dataset to total > 1000 mitochondrial cytochrome c oxidase subunit I (COI) sequences across the species' global distribution. Using discriminant analysis of principal components and Bayesian coalescent analyses, we showed that mitogenomes assembled from bycatch with up to 75% missing data were able to return evolutionary inferences consistent with higher coverage datasets and the broader literature surrounding H. armigera. For example, low-coverage sequences broadly supported the delineation of two H. armigera subspecies and also provided new insights into the potential for geographic turnover among these subspecies. However, we also identified key effects of dataset coverage and composition on our results. Thus, low-coverage bycatch data can offer valuable information for population genetic and phylodynamic analyses, but caution is required to ensure the reduced information does not introduce confounding factors, such as sampling biases, that drive inference. We encourage more researchers to consider maximizing the potential of the targeted sequence approach by examining evolutionary questions with their off-target bycatch where possible-especially in cases where no previous mitochondrial data exists-but recommend stratifying data at different genome coverage thresholds to separate sampling effects from genuine genomic signals, and to understand their implications for evolutionary research.
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Affiliation(s)
- Leo A Featherstone
- Research School of Biology, Division of Ecology and Evolution, Australian National University, Canberra, ACT, 2601, Australia
- Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, VIC, 3000, Australia
| | - Angela McGaughran
- Research School of Biology, Division of Ecology and Evolution, Australian National University, Canberra, ACT, 2601, Australia.
- Te Aka Mātuatua, School of Science, University of Waikato, Private Bag 3105, Hamilton, 3240, New Zealand.
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8
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Barbitoff YA, Ushakov MO, Lazareva TE, Nasykhova YA, Glotov AS, Predeus AV. Bioinformatics of germline variant discovery for rare disease diagnostics: current approaches and remaining challenges. Brief Bioinform 2024; 25:bbad508. [PMID: 38271481 PMCID: PMC10810331 DOI: 10.1093/bib/bbad508] [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: 08/09/2023] [Revised: 11/18/2023] [Accepted: 12/12/2023] [Indexed: 01/27/2024] Open
Abstract
Next-generation sequencing (NGS) has revolutionized the field of rare disease diagnostics. Whole exome and whole genome sequencing are now routinely used for diagnostic purposes; however, the overall diagnosis rate remains lower than expected. In this work, we review current approaches used for calling and interpretation of germline genetic variants in the human genome, and discuss the most important challenges that persist in the bioinformatic analysis of NGS data in medical genetics. We describe and attempt to quantitatively assess the remaining problems, such as the quality of the reference genome sequence, reproducible coverage biases, or variant calling accuracy in complex regions of the genome. We also discuss the prospects of switching to the complete human genome assembly or the human pan-genome and important caveats associated with such a switch. We touch on arguably the hardest problem of NGS data analysis for medical genomics, namely, the annotation of genetic variants and their subsequent interpretation. We highlight the most challenging aspects of annotation and prioritization of both coding and non-coding variants. Finally, we demonstrate the persistent prevalence of pathogenic variants in the coding genome, and outline research directions that may enhance the efficiency of NGS-based disease diagnostics.
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Affiliation(s)
- Yury A Barbitoff
- Dpt. of Genomic Medicine, D.O. Ott Research Institute of Obstetrics, Gynaecology, and Reproductology, Mendeleevskaya line 3, 199034, St. Petersburg, Russia
- Bioinformatics Institute, Kentemirovskaya st. 2A, 197342, St. Petersburg, Russia
| | - Mikhail O Ushakov
- Dpt. of Genomic Medicine, D.O. Ott Research Institute of Obstetrics, Gynaecology, and Reproductology, Mendeleevskaya line 3, 199034, St. Petersburg, Russia
| | - Tatyana E Lazareva
- Dpt. of Genomic Medicine, D.O. Ott Research Institute of Obstetrics, Gynaecology, and Reproductology, Mendeleevskaya line 3, 199034, St. Petersburg, Russia
| | - Yulia A Nasykhova
- Dpt. of Genomic Medicine, D.O. Ott Research Institute of Obstetrics, Gynaecology, and Reproductology, Mendeleevskaya line 3, 199034, St. Petersburg, Russia
| | - Andrey S Glotov
- Dpt. of Genomic Medicine, D.O. Ott Research Institute of Obstetrics, Gynaecology, and Reproductology, Mendeleevskaya line 3, 199034, St. Petersburg, Russia
| | - Alexander V Predeus
- Bioinformatics Institute, Kentemirovskaya st. 2A, 197342, St. Petersburg, Russia
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9
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Burleigh A, Moraitis E, Al Masroori E, Al-Abadi E, Hong Y, Omoyinmi E, Titheradge H, Stals K, Jones WD, Gait A, Jayarajan V, Di WL, Sebire N, Solman L, Ogboli M, Welch SB, Sudarsanam A, Wacogne I, Price-Kuehne F, Jensen B, Brogan PA, Eleftheriou D. Case Report: ISG15 deficiency caused by novel variants in two families and effective treatment with Janus kinase inhibition. Front Immunol 2023; 14:1287258. [PMID: 38115997 PMCID: PMC10728638 DOI: 10.3389/fimmu.2023.1287258] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 11/14/2023] [Indexed: 12/21/2023] Open
Abstract
ISG15 deficiency is a rare disease caused by autosomal recessive variants in the ISG15 gene, which encodes the ISG15 protein. The ISG15 protein plays a dual role in both the type I and II interferon (IFN) immune pathways. Extracellularly, the ISG15 protein is essential for IFN-γ-dependent anti-mycobacterial immunity, while intracellularly, ISG15 is necessary for USP18-mediated downregulation of IFN-α/β signalling. Due to this dual role, ISG15 deficiency can present with various clinical phenotypes, ranging from susceptibility to mycobacterial infection to autoinflammation characterised by necrotising skin lesions, intracerebral calcification, and pulmonary involvement. In this report, we describe novel variants found in two different families that result in complete ISG15 deficiency and severe skin ulceration. Whole exome sequencing identified a heterozygous missense p.Q16X ISG15 variant and a heterozygous multigene 1p36.33 deletion in the proband from the first family. In the second family, a homozygous total ISG15 gene deletion was detected in two siblings. We also conducted further analysis, including characterisation of cytokine dysregulation, interferon-stimulated gene expression, and p-STAT1 activation in lymphocytes and lesional tissue. Finally, we demonstrate the complete and rapid resolution of clinical symptoms associated with ISG15 deficiency in one sibling from the second family following treatment with the Janus kinase (JAK) inhibitor baricitinib.
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Affiliation(s)
- Alice Burleigh
- Infection, Immunity and Inflammation Department, University College London Great Ormond Street Institute of Child Health, London, United Kingdom
- Centre for Adolescent Rheumatology Versus Arthritis at University College London (UCL), London, United Kingdom
| | - Elena Moraitis
- Paediatric Rheumatology Department, Great Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom
| | - Eman Al Masroori
- Department of Rheumatology, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham, United Kingdom
| | - Eslam Al-Abadi
- Department of Rheumatology, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham, United Kingdom
| | - Ying Hong
- Infection, Immunity and Inflammation Department, University College London Great Ormond Street Institute of Child Health, London, United Kingdom
| | - Ebun Omoyinmi
- Infection, Immunity and Inflammation Department, University College London Great Ormond Street Institute of Child Health, London, United Kingdom
| | - Hannah Titheradge
- Clinical Genetics, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham, United Kingdom
- Clinical Sciences Department, University of Birmingham, Birmingham, United Kingdom
| | - Karen Stals
- Exeter Genomics Laboratory, Royal Devon and Exeter NHS Foundation Trust, Exeter, United Kingdom
| | - Wendy D. Jones
- Clinical Genetics, Great Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom
| | - Anthony Gait
- Clinical Genetics, Great Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom
| | - Vignesh Jayarajan
- Molecular and Cellular Immunology Unit, University College London (UCL), Great Ormond Street Institute of Child Health, London, United Kingdom
| | - Wei-Li Di
- Molecular and Cellular Immunology Unit, University College London (UCL), Great Ormond Street Institute of Child Health, London, United Kingdom
| | - Neil Sebire
- Histopathology Department, Camelia Botnar Laboratories, Great Ormond Street Hospital, London, United Kingdom
| | - Lea Solman
- Department of Dermatology, Great Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom
| | - Malobi Ogboli
- Department of Dermatology, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham, United Kingdom
| | - Steven B. Welch
- Department of Paediatrics, Heartlands Hospital, University Hospitals Birmingham, Birmingham, United Kingdom
| | - Annapurna Sudarsanam
- Department of Paediatric Neurology, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham, United Kingdom
| | - Ian Wacogne
- Department of General Paediatrics, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, United Kingdom
| | - Fiona Price-Kuehne
- Infection, Immunity and Inflammation Department, University College London Great Ormond Street Institute of Child Health, London, United Kingdom
| | - Barbara Jensen
- Infection, Immunity and Inflammation Department, University College London Great Ormond Street Institute of Child Health, London, United Kingdom
| | - Paul A. Brogan
- Infection, Immunity and Inflammation Department, University College London Great Ormond Street Institute of Child Health, London, United Kingdom
- Paediatric Rheumatology Department, Great Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom
| | - Despina Eleftheriou
- Infection, Immunity and Inflammation Department, University College London Great Ormond Street Institute of Child Health, London, United Kingdom
- Centre for Adolescent Rheumatology Versus Arthritis at University College London (UCL), London, United Kingdom
- Paediatric Rheumatology Department, Great Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom
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10
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De Franco E, Owens NDL, Montaser H, Wakeling MN, Saarimäki-Vire J, Triantou A, Ibrahim H, Balboa D, Caswell RC, Jennings RE, Kvist JA, Johnson MB, Muralidharan S, Ellard S, Wright CF, Maddirevula S, Alkuraya FS, Hanley NA, Flanagan SE, Otonkoski T, Hattersley AT, Imbeault M. Primate-specific ZNF808 is essential for pancreatic development in humans. Nat Genet 2023; 55:2075-2081. [PMID: 37973953 PMCID: PMC10703691 DOI: 10.1038/s41588-023-01565-x] [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: 02/14/2023] [Accepted: 10/10/2023] [Indexed: 11/19/2023]
Abstract
Identifying genes linked to extreme phenotypes in humans has the potential to highlight biological processes not shared with all other mammals. Here, we report the identification of homozygous loss-of-function variants in the primate-specific gene ZNF808 as a cause of pancreatic agenesis. ZNF808 is a member of the KRAB zinc finger protein family, a large and rapidly evolving group of epigenetic silencers which target transposable elements. We show that loss of ZNF808 in vitro results in aberrant activation of regulatory potential contained in the primate-specific transposable elements it represses during early pancreas development. This leads to inappropriate specification of cell fate with induction of genes associated with liver identity. Our results highlight the essential role of ZNF808 in pancreatic development in humans and the contribution of primate-specific regions of the human genome to congenital developmental disease.
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Affiliation(s)
- Elisa De Franco
- Institute of Clinical and Biomedical Sciences, University of Exeter Faculty of Health and Life Sciences, Exeter, UK
| | - Nick D L Owens
- Institute of Clinical and Biomedical Sciences, University of Exeter Faculty of Health and Life Sciences, Exeter, UK
| | - Hossam Montaser
- Stem Cells and Metabolism Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Matthew N Wakeling
- Institute of Clinical and Biomedical Sciences, University of Exeter Faculty of Health and Life Sciences, Exeter, UK
| | - Jonna Saarimäki-Vire
- Stem Cells and Metabolism Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Athina Triantou
- Department of Genetics, University of Cambridge, Cambridge, UK
| | - Hazem Ibrahim
- Stem Cells and Metabolism Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Diego Balboa
- Regulatory Genomics and Diabetes, Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Barcelona, Spain
| | - Richard C Caswell
- Genomics Laboratory, Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK
| | - Rachel E Jennings
- Division of Diabetes, Endocrinology & Gastroenterology, Faculty of Biology, Medicine & Health, University of Manchester, Manchester, UK
- Endocrinology Department, Manchester University NHS Foundation Trust, Manchester, UK
| | - Jouni A Kvist
- Stem Cells and Metabolism Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Matthew B Johnson
- Institute of Clinical and Biomedical Sciences, University of Exeter Faculty of Health and Life Sciences, Exeter, UK
| | - Sachin Muralidharan
- Stem Cells and Metabolism Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Sian Ellard
- Genomics Laboratory, Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK
| | - Caroline F Wright
- Institute of Clinical and Biomedical Sciences, University of Exeter Faculty of Health and Life Sciences, Exeter, UK
| | - Sateesh Maddirevula
- Department of Translational Genomics, Center for Genomic Medicine, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Fowzan S Alkuraya
- Department of Translational Genomics, Center for Genomic Medicine, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
- Department of Anatomy and Cell Biology, College of Medicine, Alfaisal University, Riyadh, Saudi Arabia
| | - Neil A Hanley
- Division of Diabetes, Endocrinology & Gastroenterology, Faculty of Biology, Medicine & Health, University of Manchester, Manchester, UK
- Endocrinology Department, Manchester University NHS Foundation Trust, Manchester, UK
| | - Sarah E Flanagan
- Institute of Clinical and Biomedical Sciences, University of Exeter Faculty of Health and Life Sciences, Exeter, UK
| | - Timo Otonkoski
- Stem Cells and Metabolism Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
- Children's Hospital, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.
| | - Andrew T Hattersley
- Institute of Clinical and Biomedical Sciences, University of Exeter Faculty of Health and Life Sciences, Exeter, UK.
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11
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Fasham J, Huebner AK, Liebmann L, Khalaf-Nazzal R, Maroofian R, Kryeziu N, Wortmann SB, Leslie JS, Ubeyratna N, Mancini GMS, van Slegtenhorst M, Wilke M, Haack TB, Shamseldin HE, Gleeson JG, Almuhaizea M, Dweikat I, Abu-Libdeh B, Daana M, Zaki MS, Wakeling MN, McGavin L, Turnpenny PD, Alkuraya FS, Houlden H, Schlattmann P, Kaila K, Crosby AH, Baple EL, Hübner CA. SLC4A10 mutation causes a neurological disorder associated with impaired GABAergic transmission. Brain 2023; 146:4547-4561. [PMID: 37459438 PMCID: PMC10629776 DOI: 10.1093/brain/awad235] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 05/19/2023] [Accepted: 06/06/2023] [Indexed: 11/09/2023] Open
Abstract
SLC4A10 is a plasma-membrane bound transporter that utilizes the Na+ gradient to drive cellular HCO3- uptake, thus mediating acid extrusion. In the mammalian brain, SLC4A10 is expressed in principal neurons and interneurons, as well as in epithelial cells of the choroid plexus, the organ regulating the production of CSF. Using next generation sequencing on samples from five unrelated families encompassing nine affected individuals, we show that biallelic SLC4A10 loss-of-function variants cause a clinically recognizable neurodevelopmental disorder in humans. The cardinal clinical features of the condition include hypotonia in infancy, delayed psychomotor development across all domains and intellectual impairment. Affected individuals commonly display traits associated with autistic spectrum disorder including anxiety, hyperactivity and stereotyped movements. In two cases isolated episodes of seizures were reported in the first few years of life, and a further affected child displayed bitemporal epileptogenic discharges on EEG without overt clinical seizures. While occipitofrontal circumference was reported to be normal at birth, progressive postnatal microcephaly evolved in 7 out of 10 affected individuals. Neuroradiological features included a relative preservation of brain volume compared to occipitofrontal circumference, characteristic narrow sometimes 'slit-like' lateral ventricles and corpus callosum abnormalities. Slc4a10 -/- mice, deficient for SLC4A10, also display small lateral brain ventricles and mild behavioural abnormalities including delayed habituation and alterations in the two-object novel object recognition task. Collapsed brain ventricles in both Slc4a10-/- mice and affected individuals suggest an important role of SLC4A10 in the production of the CSF. However, it is notable that despite diverse roles of the CSF in the developing and adult brain, the cortex of Slc4a10-/- mice appears grossly intact. Co-staining with synaptic markers revealed that in neurons, SLC4A10 localizes to inhibitory, but not excitatory, presynapses. These findings are supported by our functional studies, which show the release of the inhibitory neurotransmitter GABA is compromised in Slc4a10-/- mice, while the release of the excitatory neurotransmitter glutamate is preserved. Manipulation of intracellular pH partially rescues GABA release. Together our studies define a novel neurodevelopmental disorder associated with biallelic pathogenic variants in SLC4A10 and highlight the importance of further analyses of the consequences of SLC4A10 loss-of-function for brain development, synaptic transmission and network properties.
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Affiliation(s)
- James Fasham
- RILD Wellcome Wolfson Centre, University of Exeter Medical School, Royal Devon University Healthcare NHS Foundation Trust, Exeter EX2 5DW, UK
- Peninsula Clinical Genetics Service, Royal Devon University Healthcare NHS Foundation Trust, Exeter EX2 5DW, UK
| | - Antje K Huebner
- Institute of Human Genetics, Jena University Hospital, Friedrich Schiller Universität, 07747 Jena, Germany
| | - Lutz Liebmann
- Institute of Human Genetics, Jena University Hospital, Friedrich Schiller Universität, 07747 Jena, Germany
| | - Reham Khalaf-Nazzal
- Department of Biomedical Sciences, Faculty of Medicine, Arab American University of Palestine, Jenin, P227, Palestine
| | - Reza Maroofian
- Molecular and Clinical Sciences Institute, St. George’s University of London, London SW17 0RE, UK
| | - Nderim Kryeziu
- Institute of Human Genetics, Jena University Hospital, Friedrich Schiller Universität, 07747 Jena, Germany
| | - Saskia B Wortmann
- University Children’s Hospital, Salzburger Landeskliniken (SALK) and Paracelsus Medical University (PMU), 5020 Salzburg, Austria
- Amalia Children’s Hospital, Radboudumc, 6525 GA Nijmegen, The Netherlands
- Institute of Human Genetics, Technische Universität München, 80333 Munich, Germany
| | - Joseph S Leslie
- RILD Wellcome Wolfson Centre, University of Exeter Medical School, Royal Devon University Healthcare NHS Foundation Trust, Exeter EX2 5DW, UK
| | - Nishanka Ubeyratna
- RILD Wellcome Wolfson Centre, University of Exeter Medical School, Royal Devon University Healthcare NHS Foundation Trust, Exeter EX2 5DW, UK
| | - Grazia M S Mancini
- Department of Clinical Genetics, Erasmus Medical Center, 3015 GD Rotterdam, The Netherlands
| | | | - Martina Wilke
- Department of Clinical Genetics, Erasmus Medical Center, 3015 GD Rotterdam, The Netherlands
| | - Tobias B Haack
- Institute of Medical Genetics and Applied Genomics, University of Tuebingen, 72076 Tübingen, Germany
| | - Hanan E Shamseldin
- Department of Translational Genomics, Center for Genomic Medicine, King Faisal Specialist Hospital and Research Center, Riyadh 11564, Saudi Arabia
| | - Joseph G Gleeson
- Rady Children’s Institute for Genomic Medicine, San Diego, CA 92123, USA
- Department of Neurosciences, University of California, San Diego, La Jolla, CA 92093, USA
| | - Mohamed Almuhaizea
- Department of Neuroscience, King Faisal Specialist Hospital and Research Center, Riyadh 11564, Saudi Arabia
| | - Imad Dweikat
- Department of Biomedical Sciences, Faculty of Medicine, Arab American University of Palestine, Jenin, P227, Palestine
| | - Bassam Abu-Libdeh
- Department of Pediatrics and Genetics, Makassed Hospital and Al-Quds University, East Jerusalem, 95908, Palestine
| | - Muhannad Daana
- Department of Pediatrics, Arab Women’s Union Hospital, Nablus, P400, Palestine
| | - Maha S Zaki
- Clinical Genetics Department, Human Genetics and Genome Research Institute, National Research Centre, Dokki, Cairo 12622, Egypt
| | - Matthew N Wakeling
- RILD Wellcome Wolfson Centre, University of Exeter Medical School, Royal Devon University Healthcare NHS Foundation Trust, Exeter EX2 5DW, UK
| | - Lucy McGavin
- Department of Radiology, Derriford Hospital, Plymouth PL6 8DH, UK
| | - Peter D Turnpenny
- RILD Wellcome Wolfson Centre, University of Exeter Medical School, Royal Devon University Healthcare NHS Foundation Trust, Exeter EX2 5DW, UK
- Peninsula Clinical Genetics Service, Royal Devon University Healthcare NHS Foundation Trust, Exeter EX2 5DW, UK
| | - Fowzan S Alkuraya
- Department of Translational Genomics, Center for Genomic Medicine, King Faisal Specialist Hospital and Research Center, Riyadh 11564, Saudi Arabia
| | - Henry Houlden
- Molecular and Clinical Sciences Institute, St. George’s University of London, London SW17 0RE, UK
| | - Peter Schlattmann
- Institute for Medical Statistics, Computer Science and Data Science, Jena University Hospital, 07747 Jena, Germany
| | - Kai Kaila
- Molecular and Integrative Biosciences, University of Helsinki, 00014 Helsinki, Finland
- Neuroscience Center, Helsinki Institute of Life Science, University of Helsinki, 00014 Helsinki, Finland
| | - Andrew H Crosby
- RILD Wellcome Wolfson Centre, University of Exeter Medical School, Royal Devon University Healthcare NHS Foundation Trust, Exeter EX2 5DW, UK
| | - Emma L Baple
- RILD Wellcome Wolfson Centre, University of Exeter Medical School, Royal Devon University Healthcare NHS Foundation Trust, Exeter EX2 5DW, UK
- Peninsula Clinical Genetics Service, Royal Devon University Healthcare NHS Foundation Trust, Exeter EX2 5DW, UK
| | - Christian A Hübner
- Institute of Human Genetics, Jena University Hospital, Friedrich Schiller Universität, 07747 Jena, Germany
- Center for Rare Diseases, Jena University Hospital, Friedrich Schiller Universität, 07747 Jena, Germany
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12
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Babadi M, Fu JM, Lee SK, Smirnov AN, Gauthier LD, Walker M, Benjamin DI, Zhao X, Karczewski KJ, Wong I, Collins RL, Sanchis-Juan A, Brand H, Banks E, Talkowski ME. GATK-gCNV enables the discovery of rare copy number variants from exome sequencing data. Nat Genet 2023; 55:1589-1597. [PMID: 37604963 PMCID: PMC10904014 DOI: 10.1038/s41588-023-01449-0] [Citation(s) in RCA: 42] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 06/16/2023] [Indexed: 08/23/2023]
Abstract
Copy number variants (CNVs) are major contributors to genetic diversity and disease. While standardized methods, such as the genome analysis toolkit (GATK), exist for detecting short variants, technical challenges have confounded uniform large-scale CNV analyses from whole-exome sequencing (WES) data. Given the profound impact of rare and de novo coding CNVs on genome organization and human disease, we developed GATK-gCNV, a flexible algorithm to discover rare CNVs from sequencing read-depth information, complete with open-source distribution via GATK. We benchmarked GATK-gCNV in 7,962 exomes from individuals in quartet families with matched genome sequencing and microarray data, finding up to 95% recall of rare coding CNVs at a resolution of more than two exons. We used GATK-gCNV to generate a reference catalog of rare coding CNVs in WES data from 197,306 individuals in the UK Biobank, and observed strong correlations between per-gene CNV rates and measures of mutational constraint, as well as rare CNV associations with multiple traits. In summary, GATK-gCNV is a tunable approach for sensitive and specific CNV discovery in WES data, with broad applications.
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Affiliation(s)
- Mehrtash Babadi
- Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| | - Jack M Fu
- Program in Medical and Population Genetics and Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Samuel K Lee
- Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Andrey N Smirnov
- Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Laura D Gauthier
- Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Mark Walker
- Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - David I Benjamin
- Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Xuefang Zhao
- Program in Medical and Population Genetics and Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Konrad J Karczewski
- Program in Medical and Population Genetics and Stanley Center for Psychiatric Research, 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
| | - Isaac Wong
- Program in Medical and Population Genetics and Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Ryan L Collins
- Program in Medical and Population Genetics and Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Alba Sanchis-Juan
- Program in Medical and Population Genetics and Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Harrison Brand
- Program in Medical and Population Genetics and Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Eric Banks
- Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Michael E Talkowski
- Program in Medical and Population Genetics and Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, 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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13
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Perera LA, Hattersley AT, Harding HP, Wakeling MN, Flanagan SE, Mohsina I, Raza J, Gardham A, Ron D, De Franco E. Infancy-onset diabetes caused by de-regulated AMPylation of the human endoplasmic reticulum chaperone BiP. EMBO Mol Med 2023; 15:e16491. [PMID: 36704923 PMCID: PMC9994480 DOI: 10.15252/emmm.202216491] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 12/08/2022] [Accepted: 12/09/2022] [Indexed: 01/28/2023] Open
Abstract
Dysfunction of the endoplasmic reticulum (ER) in insulin-producing beta cells results in cell loss and diabetes mellitus. Here we report on five individuals from three different consanguineous families with infancy-onset diabetes mellitus and severe neurodevelopmental delay caused by a homozygous p.(Arg371Ser) mutation in FICD. The FICD gene encodes a bifunctional Fic domain-containing enzyme that regulates the ER Hsp70 chaperone, BiP, via catalysis of two antagonistic reactions: inhibitory AMPylation and stimulatory deAMPylation of BiP. Arg371 is a conserved residue in the Fic domain active site. The FICDR371S mutation partially compromises BiP AMPylation in vitro but eliminates all detectable deAMPylation activity. Overexpression of FICDR371S or knock-in of the mutation at the FICD locus of stressed CHO cells results in inappropriately elevated levels of AMPylated BiP and compromised secretion. These findings, guided by human genetics, highlight the destructive consequences of de-regulated BiP AMPylation and raise the prospect of tuning FICD's antagonistic activities towards therapeutic ends.
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Affiliation(s)
- Luke A Perera
- Cambridge Institute for Medical ResearchUniversity of CambridgeCambridgeUK
- Present address:
The Francis Crick InstituteLondonUK
| | - Andrew T Hattersley
- Institute of Biomedical and Clinical Science, College of Medicine and HealthUniversity of ExeterExeterUK
| | - Heather P Harding
- Cambridge Institute for Medical ResearchUniversity of CambridgeCambridgeUK
| | - Matthew N Wakeling
- Institute of Biomedical and Clinical Science, College of Medicine and HealthUniversity of ExeterExeterUK
| | - Sarah E Flanagan
- Institute of Biomedical and Clinical Science, College of Medicine and HealthUniversity of ExeterExeterUK
| | - Ibrahim Mohsina
- Department of Endocrine and DiabetesNational Institute of Child HealthKarachiPakistan
| | - Jamal Raza
- Department of Endocrine and DiabetesNational Institute of Child HealthKarachiPakistan
| | | | - David Ron
- Cambridge Institute for Medical ResearchUniversity of CambridgeCambridgeUK
| | - Elisa De Franco
- Institute of Biomedical and Clinical Science, College of Medicine and HealthUniversity of ExeterExeterUK
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14
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Khalaf-Nazzal R, Fasham J, Inskeep KA, Blizzard LE, Leslie JS, Wakeling MN, Ubeyratna N, Mitani T, Griffith JL, Baker W, Al-Hijawi F, Keough KC, Gezdirici A, Pena L, Spaeth CG, Turnpenny PD, Walsh JR, Ray R, Neilson A, Kouranova E, Cui X, Curiel DT, Pehlivan D, Akdemir ZC, Posey JE, Lupski JR, Dobyns WB, Stottmann RW, Crosby AH, Baple EL. Bi-allelic CAMSAP1 variants cause a clinically recognizable neuronal migration disorder. Am J Hum Genet 2022; 109:2068-2079. [PMID: 36283405 PMCID: PMC9674946 DOI: 10.1016/j.ajhg.2022.09.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 09/27/2022] [Indexed: 01/26/2023] Open
Abstract
Non-centrosomal microtubules are essential cytoskeletal filaments that are important for neurite formation, axonal transport, and neuronal migration. They require stabilization by microtubule minus-end-targeting proteins including the CAMSAP family of molecules. Using exome sequencing on samples from five unrelated families, we show that bi-allelic CAMSAP1 loss-of-function variants cause a clinically recognizable, syndromic neuronal migration disorder. The cardinal clinical features of the syndrome include a characteristic craniofacial appearance, primary microcephaly, severe neurodevelopmental delay, cortical visual impairment, and seizures. The neuroradiological phenotype comprises a highly recognizable combination of classic lissencephaly with a posterior more severe than anterior gradient similar to PAFAH1B1(LIS1)-related lissencephaly and severe hypoplasia or absence of the corpus callosum; dysplasia of the basal ganglia, hippocampus, and midbrain; and cerebellar hypodysplasia, similar to the tubulinopathies, a group of monogenic tubulin-associated disorders of cortical dysgenesis. Neural cell rosette lineages derived from affected individuals displayed findings consistent with these phenotypes, including abnormal morphology, decreased cell proliferation, and neuronal differentiation. Camsap1-null mice displayed increased perinatal mortality, and RNAScope studies identified high expression levels in the brain throughout neurogenesis and in facial structures, consistent with the mouse and human neurodevelopmental and craniofacial phenotypes. Together our findings confirm a fundamental role of CAMSAP1 in neuronal migration and brain development and define bi-allelic variants as a cause of a clinically distinct neurodevelopmental disorder in humans and mice.
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Affiliation(s)
- Reham Khalaf-Nazzal
- Biomedical Sciences Department, Faculty of Medicine, Arab American University of Palestine, Jenin P227, Palestine
| | - James Fasham
- Department of Clinical and Biomedical Science, University of Exeter Faculty of Health and Life Science, RILD building, Barrack Road, Exeter EX2 5DW, UK; Peninsula Clinical Genetics Service, Royal Devon University Healthcare NHS Foundation Trust (Heavitree Hospital), Gladstone Road, Exeter EX1 2ED, UK
| | - Katherine A Inskeep
- Division of Developmental Biology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, MLC 7016, Cincinnati, OH 45229, USA; Institute for Genomic Medicine at Nationwide Children's Hospital, The Ohio State University College of Medicine, Columbus, OH 43205, USA
| | - Lauren E Blizzard
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, MLC 7016, Cincinnati, OH 45229, USA
| | - Joseph S Leslie
- Department of Clinical and Biomedical Science, University of Exeter Faculty of Health and Life Science, RILD building, Barrack Road, Exeter EX2 5DW, UK
| | - Matthew N Wakeling
- Department of Clinical and Biomedical Science, University of Exeter Faculty of Health and Life Science, RILD building, Barrack Road, Exeter EX2 5DW, UK
| | - Nishanka Ubeyratna
- Department of Clinical and Biomedical Science, University of Exeter Faculty of Health and Life Science, RILD building, Barrack Road, Exeter EX2 5DW, UK
| | - Tadahiro Mitani
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Jennifer L Griffith
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Wisam Baker
- Paediatrics Department, Dr. Khalil Suleiman Government Hospital, Jenin, Palestine
| | - Fida' Al-Hijawi
- Paediatrics Community Outpatient Clinics, Palestinian Ministry of Health, Jenin, Palestine
| | - Karen C Keough
- Department of Pediatrics, Dell Medical School, 1400 Barbara Jordan Boulevard, Austin, TX 78723, USA; Child Neurology Consultants of Austin, 7940 Shoal Creek Boulevard, Suite 100, Austin, TX 78757, USA
| | - Alper Gezdirici
- Department of Medical Genetics, Başakşehir Çam and Sakura City Hospital, 34480 Istanbul, Turkey
| | - Loren Pena
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, MLC 7016, Cincinnati, OH 45229, USA; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH 45229, USA
| | - Christine G Spaeth
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, MLC 7016, Cincinnati, OH 45229, USA; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH 45229, USA
| | - Peter D Turnpenny
- Department of Clinical and Biomedical Science, University of Exeter Faculty of Health and Life Science, RILD building, Barrack Road, Exeter EX2 5DW, UK; Peninsula Clinical Genetics Service, Royal Devon University Healthcare NHS Foundation Trust (Heavitree Hospital), Gladstone Road, Exeter EX1 2ED, UK
| | - Joseph R Walsh
- Department of Neurological Surgery, School of Medicine, Washington University in Saint Louis, St. Louis, MO 63110, USA
| | - Randall Ray
- Departments of Pediatrics and Medical Genetics, Boston Children's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Amber Neilson
- Genome Engineering & Stem Cell Center, Department of Genetics, School of Medicine, Washington University in Saint Louis, St. Louis, MO 63110, USA
| | - Evguenia Kouranova
- Genome Engineering & Stem Cell Center, Department of Genetics, School of Medicine, Washington University in Saint Louis, St. Louis, MO 63110, USA
| | - Xiaoxia Cui
- Genome Engineering & Stem Cell Center, Department of Genetics, School of Medicine, Washington University in Saint Louis, St. Louis, MO 63110, USA
| | - David T Curiel
- Department of Biomedical Engineering, McKelvey School of Engineering, Washington University in Saint Louis, St. Louis, MO 63130, USA; Division of Cancer Biology, Department of Radiation Oncology, School of Medicine, Washington University in Saint Louis, St. Louis, MO 63110, USA; Biologic Therapeutics Center, Department of Radiation Oncology, School of Medicine, Washington University in Saint Louis, St. Louis, MO 63110, USA
| | - Davut Pehlivan
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Division of Neurology and Developmental Neuroscience, Department of Pediatrics, Baylor College of Medicine, Houston, TX 77030, USA; Texas Children's Hospital, Houston, TX 77030, USA
| | - Zeynep Coban Akdemir
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Jennifer E Posey
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - James R Lupski
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Pediatrics, Baylor College of Medicine, Houston, TX 77030, USA; Texas Children's Hospital, Houston, TX 77030, USA
| | - William B Dobyns
- Departments of Pediatrics and Genetics, University of Minnesota, Minneapolis, MN, USA
| | - Rolf W Stottmann
- Division of Developmental Biology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, MLC 7016, Cincinnati, OH 45229, USA; Institute for Genomic Medicine at Nationwide Children's Hospital, The Ohio State University College of Medicine, Columbus, OH 43205, USA; Division of Human Genetics, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, MLC 7016, Cincinnati, OH 45229, USA; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH 45229, USA
| | - Andrew H Crosby
- Department of Clinical and Biomedical Science, University of Exeter Faculty of Health and Life Science, RILD building, Barrack Road, Exeter EX2 5DW, UK
| | - Emma L Baple
- Department of Clinical and Biomedical Science, University of Exeter Faculty of Health and Life Science, RILD building, Barrack Road, Exeter EX2 5DW, UK; Peninsula Clinical Genetics Service, Royal Devon University Healthcare NHS Foundation Trust (Heavitree Hospital), Gladstone Road, Exeter EX1 2ED, UK.
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15
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Wakeling MN, Owens NDL, Hopkinson JR, Johnson MB, Houghton JAL, Dastamani A, Flaxman CS, Wyatt RC, Hewat TI, Hopkins JJ, Laver TW, van Heugten R, Weedon MN, De Franco E, Patel KA, Ellard S, Morgan NG, Cheesman E, Banerjee I, Hattersley AT, Dunne MJ, Richardson SJ, Flanagan SE. Non-coding variants disrupting a tissue-specific regulatory element in HK1 cause congenital hyperinsulinism. Nat Genet 2022; 54:1615-1620. [PMID: 36333503 PMCID: PMC7614032 DOI: 10.1038/s41588-022-01204-x] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 09/16/2022] [Indexed: 11/06/2022]
Abstract
Gene expression is tightly regulated, with many genes exhibiting cell-specific silencing when their protein product would disrupt normal cellular function1. This silencing is largely controlled by non-coding elements, and their disruption might cause human disease2. We performed gene-agnostic screening of the non-coding regions to discover new molecular causes of congenital hyperinsulinism. This identified 14 non-coding de novo variants affecting a 42-bp conserved region encompassed by a regulatory element in intron 2 of the hexokinase 1 gene (HK1). HK1 is widely expressed across all tissues except in the liver and pancreatic beta cells and is thus termed a 'disallowed gene' in these specific tissues. We demonstrated that the variants result in a loss of repression of HK1 in pancreatic beta cells, thereby causing insulin secretion and congenital hyperinsulinism. Using epigenomic data accessed from public repositories, we demonstrated that these variants reside within a regulatory region that we determine to be critical for cell-specific silencing. Importantly, this has revealed a disease mechanism for non-coding variants that cause inappropriate expression of a disallowed gene.
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Affiliation(s)
- Matthew N Wakeling
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Nick D L Owens
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Jessica R Hopkinson
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Matthew B Johnson
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Jayne A L Houghton
- Exeter Genomics Laboratory, Royal Devon and Exeter NHS Foundation Trust, Exeter, UK
| | - Antonia Dastamani
- Endocrinology Department, Great Ormond Street Hospital for Children, London, UK
| | - Christine S Flaxman
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Rebecca C Wyatt
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Thomas I Hewat
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Jasmin J Hopkins
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Thomas W Laver
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Rachel van Heugten
- Exeter Genomics Laboratory, Royal Devon and Exeter NHS Foundation Trust, Exeter, UK
| | - Michael N Weedon
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Elisa De Franco
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Kashyap A Patel
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Sian Ellard
- Exeter Genomics Laboratory, Royal Devon and Exeter NHS Foundation Trust, Exeter, UK
| | - Noel G Morgan
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Edmund Cheesman
- Department of Paediatric Pathology, Royal Manchester Children's Hospital, Manchester, UK
| | - Indraneel Banerjee
- Department of Paediatric Endocrinology, Royal Manchester Children's Hospital, Manchester, UK
- Faculty of Biology, Medicine and Health, the University of Manchester, Manchester, UK
| | - Andrew T Hattersley
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Mark J Dunne
- Faculty of Biology, Medicine and Health, the University of Manchester, Manchester, UK
| | - Sarah J Richardson
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Sarah E Flanagan
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK.
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16
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Schrank TP, Landess L, Stepp WH, Rehmani H, Weir WH, Lenze N, Lal A, Wu D, Kothari A, Hackman TG, Sheth S, Patel S, Jefferys SR, Issaeva N, Yarbrough WG. Comprehensive Viral Genotyping Reveals Prognostic Viral Phylogenetic Groups in HPV16-Associated Squamous Cell Carcinoma of the Oropharynx. Mol Cancer Res 2022; 20:1489-1501. [PMID: 35731223 PMCID: PMC11249119 DOI: 10.1158/1541-7786.mcr-21-0443] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Revised: 01/05/2022] [Accepted: 06/17/2022] [Indexed: 11/16/2022]
Abstract
Human papillomavirus-positive (HPV+) squamous cell carcinoma of the oropharynx (OPSCC) is the most prevalent HPV-associated malignancy in the United States and is primarily caused by HPV subtype 16 (HPV16). Favorable treatment outcomes have led to increasing interest in treatment deescalation to reduce treatment-related morbidity. Prognostic biomarkers are needed to identify appropriately low-risk patients for reduced treatment intensity. Targeted DNA sequencing including all HPV16 open reading frames was performed on tumors from 104 patients with HPV16+ OPSCC treated at a single center. Genotypes closely related to the HPV16-A1 reference were associated with increased numbers of somatic copy-number variants in the human genome and poor recurrence-free survival (RFS). Genotypes divergent from HPV16-A1 were associated with favorable RFS. These findings were independent of tobacco smoke exposure. Total RNA sequencing was performed on a second independent cohort of 89 HPV16+ OPSCC cases. HPV16 genotypes divergent from HPV16-A1 were again validated in this independent cohort, to be prognostic of improved RFS in patients with moderate (less than 30 pack-years) or low (no more than 10 pack-years) of tobacco smoke exposure. In summary, we show in two independent cohorts that viral sequence divergence from the HPV16-A1 reference is correlated with improved RFS in patients with moderate or low tobacco smoke exposure. IMPLICATIONS HPV16 genotype is a potential biomarker that could be easily adopted to guide therapeutic decision-making related to deescalation therapy.
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Affiliation(s)
- Travis P Schrank
- Department of Otolaryngology-Head and Neck Surgery, The University of North Carolina School of Medicine at Chapel Hill, Chapel Hill, North Carolina
- Linberger Comprehensive Cancer Center, The University of North Carolina School of Medicine at Chapel Hill, Chapel Hill, North Carolina
| | - Lee Landess
- Department of Otolaryngology-Head and Neck Surgery, The University of North Carolina School of Medicine at Chapel Hill, Chapel Hill, North Carolina
| | - Wesley H Stepp
- Department of Otolaryngology-Head and Neck Surgery, The University of North Carolina School of Medicine at Chapel Hill, Chapel Hill, North Carolina
| | - Hina Rehmani
- Department of Otolaryngology-Head and Neck Surgery, The University of North Carolina School of Medicine at Chapel Hill, Chapel Hill, North Carolina
| | - William H Weir
- Department of Otolaryngology-Head and Neck Surgery, The University of North Carolina School of Medicine at Chapel Hill, Chapel Hill, North Carolina
| | - Nicholas Lenze
- Department of Otolaryngology-Head and Neck Surgery, The University of North Carolina School of Medicine at Chapel Hill, Chapel Hill, North Carolina
| | - Asim Lal
- Department of Otolaryngology-Head and Neck Surgery, The University of North Carolina School of Medicine at Chapel Hill, Chapel Hill, North Carolina
| | - Di Wu
- Linberger Comprehensive Cancer Center, The University of North Carolina School of Medicine at Chapel Hill, Chapel Hill, North Carolina
- Department of Biostatistics, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Division of Oral and Craniofacial Health Sciences, Adams School of Dentistry, The University of North Carolina School of Medicine at Chapel Hill, Chapel Hill, North Carolina
| | - Aditi Kothari
- Linberger Comprehensive Cancer Center, The University of North Carolina School of Medicine at Chapel Hill, Chapel Hill, North Carolina
| | - Trevor G Hackman
- Department of Otolaryngology-Head and Neck Surgery, The University of North Carolina School of Medicine at Chapel Hill, Chapel Hill, North Carolina
| | - Siddharth Sheth
- Department of Medicne, Division of Oncology, The University of North Carolina School of Medicine at Chapel Hill, Chapel Hill, North Carolina
| | - Shetal Patel
- Department of Medicne, Division of Oncology, The University of North Carolina School of Medicine at Chapel Hill, Chapel Hill, North Carolina
| | - Stuart R Jefferys
- Linberger Comprehensive Cancer Center, The University of North Carolina School of Medicine at Chapel Hill, Chapel Hill, North Carolina
| | - Natalia Issaeva
- Department of Otolaryngology-Head and Neck Surgery, The University of North Carolina School of Medicine at Chapel Hill, Chapel Hill, North Carolina
- Linberger Comprehensive Cancer Center, The University of North Carolina School of Medicine at Chapel Hill, Chapel Hill, North Carolina
- Department of Pathology and Lab Medicine, The University of North Carolina School of Medicine at Chapel Hill, Chapel Hill, North Carolina
| | - Wendell G Yarbrough
- Department of Otolaryngology-Head and Neck Surgery, The University of North Carolina School of Medicine at Chapel Hill, Chapel Hill, North Carolina
- Linberger Comprehensive Cancer Center, The University of North Carolina School of Medicine at Chapel Hill, Chapel Hill, North Carolina
- Department of Pathology and Lab Medicine, The University of North Carolina School of Medicine at Chapel Hill, Chapel Hill, North Carolina
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17
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Colclough K, Patel K. Response to Comment on Colclough et al. and Saint-Martin et al. Syndromic Monogenic Diabetes Genes Should Be Tested in Patients With a Clinical Suspicion of Maturity-Onset Diabetes of the Young. Diabetes 2022;71:530-537, and Gene Panel Sequencing of Patients With Monogenic Diabetes Brings to Light Genes Typically Associated With Syndromic Presentations. Diabetes 2022;71:578-584. Diabetes 2022; 71:e11-e12. [PMID: 35984960 DOI: 10.2337/db22-0400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Affiliation(s)
- Kevin Colclough
- Exeter Genomics Laboratory, Royal Devon and Exeter National Health Service Foundation Trust, Exeter, U.K
| | - Kashyap Patel
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, U.K
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18
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Rawlins LE, Almousa H, Khan S, Collins SC, Milev MP, Leslie J, Saint-Dic D, Khan V, Hincapie AM, Day JO, McGavin L, Rowley C, Harlalka GV, Vancollie VE, Ahmad W, Lelliott CJ, Gul A, Yalcin B, Crosby AH, Sacher M, Baple EL. Biallelic variants in TRAPPC10 cause a microcephalic TRAPPopathy disorder in humans and mice. PLoS Genet 2022; 18:e1010114. [PMID: 35298461 PMCID: PMC8963566 DOI: 10.1371/journal.pgen.1010114] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2021] [Revised: 03/29/2022] [Accepted: 02/20/2022] [Indexed: 11/25/2022] Open
Abstract
The highly evolutionarily conserved transport protein particle (TRAPP) complexes (TRAPP II and III) perform fundamental roles in subcellular trafficking pathways. Here we identified biallelic variants in TRAPPC10, a component of the TRAPP II complex, in individuals with a severe microcephalic neurodevelopmental disorder. Molecular studies revealed a weakened interaction between mutant TRAPPC10 and its putative adaptor protein TRAPPC2L. Studies of patient lymphoblastoid cells revealed an absence of TRAPPC10 alongside a concomitant absence of TRAPPC9, another key TRAPP II complex component associated with a clinically overlapping neurodevelopmental disorder. The TRAPPC9/10 reduction phenotype was recapitulated in TRAPPC10-/- knockout cells, which also displayed a membrane trafficking defect. Notably, both the reduction in TRAPPC9 levels and the trafficking defect in these cells could be rescued by wild type but not mutant TRAPPC10 gene constructs. Moreover, studies of Trappc10-/- knockout mice revealed neuroanatomical brain defects and microcephaly, paralleling findings seen in the human condition as well as in a Trappc9-/- mouse model. Together these studies confirm autosomal recessive TRAPPC10 variants as a cause of human disease and define TRAPP-mediated pathomolecular outcomes of importance to TRAPPC9 and TRAPPC10 mediated neurodevelopmental disorders in humans and mice. Microcephalic neurodevelopmental disorders are a group of conditions that are often inherited in families, involving small head size and abnormal brain development and function. This often results in delayed development of an affected child, affecting their movement, language and/or non-verbal communication and learning, as well as seizures and neuropsychiatric problems. A group of proteins called the transport protein particles (TRAPPs) are important for the transport of cargos inside cells. Alterations within a number of the TRAPP proteins have previously been associated with human inherited diseases called the ‘TRAPPopathies’, which involve neurodevelopmental and skeletal abnormalities. Here we show that TRAPPC10 gene alterations cause a new TRAPPopathy microcephalic neurodevelopmental disorder, and we provide a detailed clinical description of the condition termed ‘TRAPPC10-related disorder’. Our studies in mice lacking the TRAPPC10 gene identified similar features to those of affected humans, including small brain size and skeletal abnormalities. Our molecular studies showed that an affected individual with an alteration in the TRAPPC10 gene has no functional TRAPPC10 protein in their cells, which in turn causes a reduction in levels of another important TRAPP molecule, TRAPPC9. Cells lacking TRAPPC10 also display abnormalities in cellular transport processes. Together our data confirm alterations in TRAPPC10 as a cause of a microcephalic neurodevelopmental disorder in both humans and mice.
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Affiliation(s)
- Lettie E. Rawlins
- RILD Wellcome Wolfson Medical Research Centre, RD&E (Wonford) NHS Foundation Trust, University of Exeter Medical School, Exeter, United Kingdom
- Peninsula Clinical Genetics Service, Royal Devon & Exeter Hospital (Heavitree), Exeter, United Kingdom
| | - Hashem Almousa
- Department of Biology, Concordia University, Montreal, Quebec, Canada
| | - Shazia Khan
- RILD Wellcome Wolfson Medical Research Centre, RD&E (Wonford) NHS Foundation Trust, University of Exeter Medical School, Exeter, United Kingdom
- Department of Biological Sciences, International Islamic University, Islamabad, Pakistan
| | - Stephan C. Collins
- Institute of Genetics and Molecular and Cellular Biology, Inserm, Illkirch, France
- Inserm, University of Bourgogne Franche-Comté, Dijon, France
| | - Miroslav P. Milev
- Department of Biology, Concordia University, Montreal, Quebec, Canada
| | - Joseph Leslie
- RILD Wellcome Wolfson Medical Research Centre, RD&E (Wonford) NHS Foundation Trust, University of Exeter Medical School, Exeter, United Kingdom
| | - Djenann Saint-Dic
- Department of Biology, Concordia University, Montreal, Quebec, Canada
| | - Valeed Khan
- Department of Molecular Diagnostics, Rehman Medical Institute, Peshawar, Pakistan
| | | | - Jacob O. Day
- RILD Wellcome Wolfson Medical Research Centre, RD&E (Wonford) NHS Foundation Trust, University of Exeter Medical School, Exeter, United Kingdom
- Faculty of Health, University of Plymouth, Plymouth, United Kingdom
| | - Lucy McGavin
- University Hospitals Plymouth NHS Trust, Plymouth, United Kingdom
| | | | - Gaurav V. Harlalka
- RILD Wellcome Wolfson Medical Research Centre, RD&E (Wonford) NHS Foundation Trust, University of Exeter Medical School, Exeter, United Kingdom
- Department of Pharmacology, Rajarshi Shahu College of Pharmacy, Malvihir, Buldana, India
| | | | - Wasim Ahmad
- Department of Biochemistry, Faculty of Biological Sciences, Quaid-i-Azam University, Islamabad, Pakistan
| | | | - Asma Gul
- Department of Biological Sciences, International Islamic University, Islamabad, Pakistan
| | - Binnaz Yalcin
- Institute of Genetics and Molecular and Cellular Biology, Inserm, Illkirch, France
- Inserm, University of Bourgogne Franche-Comté, Dijon, France
| | - Andrew H. Crosby
- RILD Wellcome Wolfson Medical Research Centre, RD&E (Wonford) NHS Foundation Trust, University of Exeter Medical School, Exeter, United Kingdom
| | - Michael Sacher
- Department of Biology, Concordia University, Montreal, Quebec, Canada
- Department of Anatomy and Cell Biology, McGill University, Montreal, Quebec, Canada
| | - Emma L. Baple
- RILD Wellcome Wolfson Medical Research Centre, RD&E (Wonford) NHS Foundation Trust, University of Exeter Medical School, Exeter, United Kingdom
- Peninsula Clinical Genetics Service, Royal Devon & Exeter Hospital (Heavitree), Exeter, United Kingdom
- * E-mail:
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19
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Hewat TI, Johnson MB, Flanagan SE. Congenital Hyperinsulinism: Current Laboratory-Based Approaches to the Genetic Diagnosis of a Heterogeneous Disease. Front Endocrinol (Lausanne) 2022; 13:873254. [PMID: 35872984 PMCID: PMC9302115 DOI: 10.3389/fendo.2022.873254] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 06/14/2022] [Indexed: 11/17/2022] Open
Abstract
Congenital hyperinsulinism is characterised by the inappropriate release of insulin during hypoglycaemia. This potentially life-threatening disorder can occur in isolation, or present as a feature of syndromic disease. Establishing the underlying aetiology of the hyperinsulinism is critical for guiding medical management of this condition especially in children with diazoxide-unresponsive hyperinsulinism where the underlying genetics determines whether focal or diffuse pancreatic disease is present. Disease-causing single nucleotide variants affecting over 30 genes are known to cause persistent hyperinsulinism with mutations in the KATP channel genes (ABCC8 and KCNJ11) most commonly identified in children with severe persistent disease. Defects in methylation, changes in chromosome number, and large deletions and duplications disrupting multiple genes are also well described in congenital hyperinsulinism, further highlighting the genetic heterogeneity of this condition. Next-generation sequencing has revolutionised the approach to genetic testing for congenital hyperinsulinism with targeted gene panels, exome, and genome sequencing being highly sensitive methods for the analysis of multiple disease genes in a single reaction. It should though be recognised that limitations remain with next-generation sequencing with no single application able to detect all reported forms of genetic variation. This is an important consideration for hyperinsulinism genetic testing as comprehensive screening may require multiple investigations.
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