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Ciancia S, Madeo SF, Calabrese O, Iughetti L. The Approach to a Child with Dysmorphic Features: What the Pediatrician Should Know. CHILDREN (BASEL, SWITZERLAND) 2024; 11:578. [PMID: 38790573 PMCID: PMC11120268 DOI: 10.3390/children11050578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Revised: 05/01/2024] [Accepted: 05/06/2024] [Indexed: 05/26/2024]
Abstract
The advancement of genetic knowledge and the discovery of an increasing number of genetic disorders has made the role of the geneticist progressively more complex and fundamental. However, most genetic disorders present during childhood; thus, their early recognition is a challenge for the pediatrician, who will be also involved in the follow-up of these children, often establishing a close relationship with them and their families and becoming a referral figure. In this review, we aim to provide the pediatrician with a general knowledge of the approach to treating a child with a genetic syndrome associated with dysmorphic features. We will discuss the red flags, the most common manifestations, the analytic collection of the family and personal medical history, and the signs that should alert the pediatrician during the physical examination. We will offer an overview of the physical malformations most commonly associated with genetic defects and the way to describe dysmorphic facial features. We will provide hints about some tools that can support the pediatrician in clinical practice and that also represent a useful educational resource, either online or through apps downloaded on a smartphone. Eventually, we will offer an overview of genetic testing, the ethical considerations, the consequences of incidental findings, and the main indications and limitations of the principal technologies.
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Affiliation(s)
- Silvia Ciancia
- Pediatric Unit, Department of Medical and Surgical Sciences for Mothers, Children and Adults, University of Modena and Reggio Emilia, Largo del Pozzo 71, 41124 Modena, Italy
| | - Simona Filomena Madeo
- Pediatric Unit, Department of Medical and Surgical Sciences for Mothers, Children and Adults, University of Modena and Reggio Emilia, Largo del Pozzo 71, 41124 Modena, Italy
| | - Olga Calabrese
- Medical Genetics Unit, Department of Medical and Surgical Sciences for Mothers, Children and Adults, University of Modena and Reggio Emilia, 41124 Modena, Italy
| | - Lorenzo Iughetti
- Pediatric Unit, Department of Medical and Surgical Sciences for Mothers, Children and Adults, University of Modena and Reggio Emilia, Largo del Pozzo 71, 41124 Modena, Italy
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2
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Mudau MM, Seymour H, Nevondwe P, Kerr R, Spencer C, Feben C, Lombard Z, Honey E, Krause A, Carstens N. A feasible molecular diagnostic strategy for rare genetic disorders within resource-constrained environments. J Community Genet 2024; 15:39-48. [PMID: 37815686 PMCID: PMC10858011 DOI: 10.1007/s12687-023-00674-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 09/19/2023] [Indexed: 10/11/2023] Open
Abstract
Timely and accurate diagnosis of rare genetic disorders is critical, as it enables improved patient management and prognosis. In a resource-constrained environment such as the South African State healthcare system, the challenge is to design appropriate and cost-effective assays that will enable accurate genetic diagnostic services in patients of African ancestry across a broad disease spectrum. Next-generation sequencing (NGS) has transformed testing approaches for many Mendelian disorders, but this technology is still relatively new in our setting and requires cost-effective ways to implement. As a proof of concept, we describe a feasible diagnostic strategy for genetic disorders frequently seen in our genetics clinics (RASopathies, Cornelia de Lange syndrome, Treacher Collins syndrome, and CHARGE syndrome). The custom-designed targeted NGS gene panel enabled concurrent variant screening for these disorders. Samples were batched during sequencing and analyzed selectively based on the clinical phenotype. The strategy employed in the current study was cost-effective, with sequencing and analysis done at USD849.68 per sample and achieving an overall detection rate of 54.5%. The strategy employed is cost-effective as it allows batching of samples from patients with different diseases in a single run, an approach that can be utilized with rare and less frequently ordered molecular diagnostic tests. The subsequent selective analysis pipeline allowed for timeous reporting back of patients results. This is feasible with a reasonable yield and can be employed for the molecular diagnosis of a wide range of rare monogenic disorders in a resource-constrained environment.
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Affiliation(s)
- Maria Mabyalwa Mudau
- Division of Human Genetics, National Health Laboratory Service and School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
| | - Heather Seymour
- Division of Human Genetics, National Health Laboratory Service and School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Patracia Nevondwe
- Division of Human Genetics, National Health Laboratory Service and School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Robyn Kerr
- Division of Human Genetics, National Health Laboratory Service and School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Careni Spencer
- Division of Human Genetics, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Candice Feben
- Division of Human Genetics, National Health Laboratory Service and School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Zané Lombard
- Division of Human Genetics, National Health Laboratory Service and School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Engela Honey
- Department of Biochemistry, Genetics and Microbiology, Faculty of Natural and Agricultural Sciences, University of Pretoria, Pretoria, South Africa
| | - Amanda Krause
- Division of Human Genetics, National Health Laboratory Service and School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Nadia Carstens
- Division of Human Genetics, National Health Laboratory Service and School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Genomics Platform, South African Medical Research Council, Cape Town, South Africa
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3
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Dotolo S, Esposito Abate R, Roma C, Guido D, Preziosi A, Tropea B, Palluzzi F, Giacò L, Normanno N. Bioinformatics: From NGS Data to Biological Complexity in Variant Detection and Oncological Clinical Practice. Biomedicines 2022; 10:biomedicines10092074. [PMID: 36140175 PMCID: PMC9495893 DOI: 10.3390/biomedicines10092074] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 08/12/2022] [Accepted: 08/22/2022] [Indexed: 11/22/2022] Open
Abstract
The use of next-generation sequencing (NGS) techniques for variant detection has become increasingly important in clinical research and in clinical practice in oncology. Many cancer patients are currently being treated in clinical practice or in clinical trials with drugs directed against specific genomic alterations. In this scenario, the development of reliable and reproducible bioinformatics tools is essential to derive information on the molecular characteristics of each patient’s tumor from the NGS data. The development of bioinformatics pipelines based on the use of machine learning and statistical methods is even more relevant for the determination of complex biomarkers. In this review, we describe some important technologies, computational algorithms and models that can be applied to NGS data from Whole Genome to Targeted Sequencing, to address the problem of finding complex cancer-associated biomarkers. In addition, we explore the future perspectives and challenges faced by bioinformatics for precision medicine both at a molecular and clinical level, with a focus on an emerging complex biomarker such as homologous recombination deficiency (HRD).
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Affiliation(s)
- Serena Dotolo
- Cell Biology and Biotherapy Unit, Istituto Nazionale Tumori—IRCCS—Fondazione G. Pascale, 80131 Naples, Italy
| | - Riziero Esposito Abate
- Cell Biology and Biotherapy Unit, Istituto Nazionale Tumori—IRCCS—Fondazione G. Pascale, 80131 Naples, Italy
| | - Cristin Roma
- Cell Biology and Biotherapy Unit, Istituto Nazionale Tumori—IRCCS—Fondazione G. Pascale, 80131 Naples, Italy
| | - Davide Guido
- Bioinformatics Research Core Facility, Gemelli Science and Technology Park (GSTeP), Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Largo A. Gemelli, 8, 00168 Rome, Italy
| | - Alessia Preziosi
- Bioinformatics Research Core Facility, Gemelli Science and Technology Park (GSTeP), Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Largo A. Gemelli, 8, 00168 Rome, Italy
| | - Beatrice Tropea
- Bioinformatics Research Core Facility, Gemelli Science and Technology Park (GSTeP), Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Largo A. Gemelli, 8, 00168 Rome, Italy
| | - Fernando Palluzzi
- Bioinformatics Research Core Facility, Gemelli Science and Technology Park (GSTeP), Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Largo A. Gemelli, 8, 00168 Rome, Italy
| | - Luciano Giacò
- Bioinformatics Research Core Facility, Gemelli Science and Technology Park (GSTeP), Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Largo A. Gemelli, 8, 00168 Rome, Italy
| | - Nicola Normanno
- Cell Biology and Biotherapy Unit, Istituto Nazionale Tumori—IRCCS—Fondazione G. Pascale, 80131 Naples, Italy
- Correspondence:
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Corominas J, Smeekens SP, Nelen MR, Yntema HG, Kamsteeg EJ, Pfundt R, Gilissen C. Clinical exome sequencing - mistakes and caveats. Hum Mutat 2022; 43:1041-1055. [PMID: 35191116 PMCID: PMC9541396 DOI: 10.1002/humu.24360] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Revised: 01/11/2022] [Accepted: 02/18/2022] [Indexed: 11/30/2022]
Abstract
Massive parallel sequencing technology has become the predominant technique for genetic diagnostics and research. Many genetic laboratories have wrestled with the challenges of setting up genetic testing workflows based on a completely new technology. The learning curve we went through as a laboratory was accompanied by growing pains while we gained new knowledge and expertise. Here we discuss some important mistakes that have been made in our laboratory through 10 years of clinical exome sequencing but that have given us important new insights on how to adapt our working methods. We provide these examples and the lessons that we learned to help other laboratories avoid to make the same mistakes.
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Affiliation(s)
- Jordi Corominas
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Sanne P Smeekens
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Marcel R Nelen
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Helger G Yntema
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands.,Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Erik-Jan Kamsteeg
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands.,Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Rolph Pfundt
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands.,Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Christian Gilissen
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands.,Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
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5
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Sun KH(M, Wong YT(H, Cheung KM(C, Yuen C(M, Chan YT(T, Lai WY(J, Chao C(D, Fan WS(K, Chow YK(K, Law MF, Tam HC(T. Update on Molecular Diagnosis in Extranodal NK/T-Cell Lymphoma and Its Role in the Era of Personalized Medicine. Diagnostics (Basel) 2022; 12:diagnostics12020409. [PMID: 35204500 PMCID: PMC8871212 DOI: 10.3390/diagnostics12020409] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 01/23/2022] [Accepted: 01/28/2022] [Indexed: 02/06/2023] Open
Abstract
Natural killer (NK)/T-cell lymphoma (NKTCL) is an aggressive malignancy with unique epidemiological, histological, molecular, and clinical characteristics. It occurs in two pathological forms, namely, extranodal NKTCL (ENKTCL) and aggressive NK leukemia, according to the latest World Health Organization (WHO) classification. Epstein–Barr virus (EBV) infection has long been proposed as the major etiology of lymphomagenesis. The adoption of high-throughput sequencing has allowed us to gain more insight into the molecular mechanisms of ENKTCL, which largely involve chromosome deletion and aberrations in Janus kinase (JAK)-signal transducer and activator of transcription (STAT), programmed cell death protein-1 (PD-1)/PD-ligand 1 (PD-L1) pathways, as well as mutations in tumor suppressor genes. The molecular findings could potentially influence the traditional chemoradiotherapy approach, which is known to be associated with significant toxicity. This article will review the latest molecular findings in NKTCL and recent advances in the field of molecular diagnosis in NKTCL. Issues of quality control and technical difficulties will also be discussed, along with future prospects in the molecular diagnosis and treatment of NKTCL.
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Affiliation(s)
- Ka-Hei (Murphy) Sun
- Division of Hematopathology, Department of Anatomical and Cellular Pathology, Prince of Wales Hospital, Hong Kong; (K.-H.S.); (C.Y.)
| | | | - Ka-Man (Carmen) Cheung
- Department of Medicine and Therapeutics, Prince of Wales Hospital, Hong Kong; (K.-M.C.); (Y.-T.C.); (W.-Y.L.); (C.C.); (W.-S.F.); (Y.-K.C.); (H.-C.T.)
| | - Carmen (Michelle) Yuen
- Division of Hematopathology, Department of Anatomical and Cellular Pathology, Prince of Wales Hospital, Hong Kong; (K.-H.S.); (C.Y.)
| | - Yun-Tat (Ted) Chan
- Department of Medicine and Therapeutics, Prince of Wales Hospital, Hong Kong; (K.-M.C.); (Y.-T.C.); (W.-Y.L.); (C.C.); (W.-S.F.); (Y.-K.C.); (H.-C.T.)
| | - Wing-Yan (Jennifer) Lai
- Department of Medicine and Therapeutics, Prince of Wales Hospital, Hong Kong; (K.-M.C.); (Y.-T.C.); (W.-Y.L.); (C.C.); (W.-S.F.); (Y.-K.C.); (H.-C.T.)
| | - Chun (David) Chao
- Department of Medicine and Therapeutics, Prince of Wales Hospital, Hong Kong; (K.-M.C.); (Y.-T.C.); (W.-Y.L.); (C.C.); (W.-S.F.); (Y.-K.C.); (H.-C.T.)
| | - Wing-Sum (Katie) Fan
- Department of Medicine and Therapeutics, Prince of Wales Hospital, Hong Kong; (K.-M.C.); (Y.-T.C.); (W.-Y.L.); (C.C.); (W.-S.F.); (Y.-K.C.); (H.-C.T.)
| | - Yuen-Kiu (Karen) Chow
- Department of Medicine and Therapeutics, Prince of Wales Hospital, Hong Kong; (K.-M.C.); (Y.-T.C.); (W.-Y.L.); (C.C.); (W.-S.F.); (Y.-K.C.); (H.-C.T.)
| | - Man-Fai Law
- Department of Medicine and Therapeutics, Prince of Wales Hospital, Hong Kong; (K.-M.C.); (Y.-T.C.); (W.-Y.L.); (C.C.); (W.-S.F.); (Y.-K.C.); (H.-C.T.)
- Correspondence:
| | - Ho-Chi (Tommy) Tam
- Department of Medicine and Therapeutics, Prince of Wales Hospital, Hong Kong; (K.-M.C.); (Y.-T.C.); (W.-Y.L.); (C.C.); (W.-S.F.); (Y.-K.C.); (H.-C.T.)
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6
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Rosenbaum JN, Berry AB, Church AJ, Crooks K, Gagan JR, López-Terrada D, Pfeifer JD, Rennert H, Schrijver I, Snow AN, Wu D, Ewalt MD. A Curriculum for Genomic Education of Molecular Genetic Pathology Fellows: A Report of the Association for Molecular Pathology Training and Education Committee. J Mol Diagn 2021; 23:1218-1240. [PMID: 34245921 DOI: 10.1016/j.jmoldx.2021.07.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Revised: 06/16/2021] [Accepted: 07/01/2021] [Indexed: 12/19/2022] Open
Abstract
Molecular genetic pathology (MGP) is a subspecialty of pathology and medical genetics and genomics. Genomic testing, which we define as that which generates large data sets and interrogates large segments of the genome in a single assay, is increasingly recognized as essential for optimal patient care through precision medicine. The most common genomic testing technologies in clinical laboratories are next-generation sequencing and microarray. It is essential to train in these methods and to consider the data generated in the context of the diagnosis, medical history, and other clinical findings of individual patients. Accordingly, updating the MGP fellowship curriculum to include genomics is timely, important, and challenging. At the completion of training, an MGP fellow should be capable of independently interpreting and signing out results of a wide range of genomic assays and, given the appropriate context and institutional support, of developing and validating new assays in compliance with applicable regulations. The Genomics Task Force of the MGP Program Directors, a working group of the Association for Molecular Pathology Training and Education Committee, has developed a genomics curriculum framework and recommendations specific to the MGP fellowship. These recommendations are presented for consideration and implementation by MGP fellowship programs with the understanding that MGP programs exist in a diversity of clinical practice environments with a spectrum of available resources.
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Affiliation(s)
- Jason N Rosenbaum
- Molecular Genetic Pathology Fellow Training in Genomics Task Force of the Training and Education Committee, Association for Molecular Pathology, Rockville, Maryland; Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Anna B Berry
- Molecular Genetic Pathology Fellow Training in Genomics Task Force of the Training and Education Committee, Association for Molecular Pathology, Rockville, Maryland; Swedish Cancer Institute and Institute of Systems Biology, Seattle, Washington
| | - Alanna J Church
- Molecular Genetic Pathology Fellow Training in Genomics Task Force of the Training and Education Committee, Association for Molecular Pathology, Rockville, Maryland; Department of Pathology, Boston Children's Hospital, Boston, Massachusetts
| | - Kristy Crooks
- Molecular Genetic Pathology Fellow Training in Genomics Task Force of the Training and Education Committee, Association for Molecular Pathology, Rockville, Maryland; Department of Pathology, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Jeffrey R Gagan
- Molecular Genetic Pathology Fellow Training in Genomics Task Force of the Training and Education Committee, Association for Molecular Pathology, Rockville, Maryland; Department of Pathology, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Dolores López-Terrada
- Molecular Genetic Pathology Fellow Training in Genomics Task Force of the Training and Education Committee, Association for Molecular Pathology, Rockville, Maryland; Department of Pathology, Baylor College of Medicine, Houston, Texas
| | - John D Pfeifer
- Molecular Genetic Pathology Fellow Training in Genomics Task Force of the Training and Education Committee, Association for Molecular Pathology, Rockville, Maryland; Department of Pathology, Washington University School of Medicine, St. Louis, Missouri
| | - Hanna Rennert
- Molecular Genetic Pathology Fellow Training in Genomics Task Force of the Training and Education Committee, Association for Molecular Pathology, Rockville, Maryland; Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York
| | - Iris Schrijver
- Molecular Genetic Pathology Fellow Training in Genomics Task Force of the Training and Education Committee, Association for Molecular Pathology, Rockville, Maryland; Department of Pathology, Stanford University School of Medicine, Stanford, California
| | - Anthony N Snow
- Molecular Genetic Pathology Fellow Training in Genomics Task Force of the Training and Education Committee, Association for Molecular Pathology, Rockville, Maryland; Department of Pathology, University of Iowa Hospitals and Clinics, Iowa City, Iowa
| | - David Wu
- Molecular Genetic Pathology Fellow Training in Genomics Task Force of the Training and Education Committee, Association for Molecular Pathology, Rockville, Maryland; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington
| | - Mark D Ewalt
- Molecular Genetic Pathology Fellow Training in Genomics Task Force of the Training and Education Committee, Association for Molecular Pathology, Rockville, Maryland; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
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7
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Malhotra H, Kowtal P, Mehra N, Pramank R, Sarin R, Rajkumar T, Gupta S, Bapna A, Bhattacharyya GS, Gupta S, Maheshwari A, Mannan AU, Reddy Kundur R, Sekhon R, Singhal M, Smruti B, SP S, Suryavanshi M, Verma A. Genetic Counseling, Testing, and Management of HBOC in India: An Expert Consensus Document from Indian Society of Medical and Pediatric Oncology. JCO Glob Oncol 2020; 6:991-1008. [PMID: 32628584 PMCID: PMC7392772 DOI: 10.1200/jgo.19.00381] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/21/2020] [Indexed: 01/08/2023] Open
Abstract
PURPOSE Hereditary breast and ovarian cancer (HBOC) syndrome is primarily characterized by mutations in the BRCA1/2 genes. There are several barriers to the implementation of genetic testing and counseling in India that may affect clinical decisions. These consensus recommendations were therefore convened as a collaborative effort to improve testing and management of HBOC in India. DESIGN Recommendations were developed by a multidisciplinary group of experts from the Indian Society of Medical and Pediatric Oncology and some invited experts on the basis of graded evidence from the literature and using a formal Delphi process to help reach consensus. PubMed and Google Scholar databases were searched to source relevant articles. RESULTS This consensus statement provides practical insight into identifying patients who should undergo genetic counseling and testing on the basis of assessments of family and ancestry and personal history of HBOC. It discusses the need and significance of genetic counselors and medical professionals who have the necessary expertise in genetic counseling and testing. Recommendations elucidate requirements of pretest counseling, including discussions on genetic variants of uncertain significance and risk reduction options. The group of experts recommended single-site mutation testing in families with a known mutation and next-generation sequencing coupled with multiplex ligation probe amplification for the detection of large genomic rearrangements for unknown mutations. Recommendations for surgical and lifestyle-related risk reduction approaches and management using poly (ADP-ribose) polymerase inhibitors are also detailed. CONCLUSION With rapid strides being made in the field of genetic testing/counseling in India, more oncologists are expected to include genetic testing/counseling as part of their clinical practice. These consensus recommendations are anticipated to help homogenize genetic testing and management of HBOC in India for improved patient care.
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Affiliation(s)
- Hemant Malhotra
- Department of Medical Oncology, Sri Ram Cancer Center, Mahatma Gandhi Medical College Hospital, Jaipur, India
| | - Pradnya Kowtal
- Sarin Laboratory and OIC Sanger Sequencing Facility, Advanced Centre for Treatment Research, and Education in Cancer, Navi Mumbai, India
| | - Nikita Mehra
- Department of Medical Oncology, Cancer Institute (WIA), Chennai, India
| | - Raja Pramank
- Department of Medical Oncology, All India Institute of Medical Sciences, New Delhi, India
| | - Rajiv Sarin
- Radiation Oncology, Cancer Genetics Unit, Tata Memorial Centre and PI Sarin Laboratory, Advanced Centre for Treatment Research and Education in Cancer, Navi Mumbai, India
| | | | - Sudeep Gupta
- Tata Memorial Centre Advanced Centre for Treatment, Research, and Education in Cancer, Navi Mumbai, India
| | - Ajay Bapna
- Department of Medical Oncology, Bhagwan Mahavir Cancer Hospital Research Center, Jaipur, India
| | | | - Sabhyata Gupta
- Department of Gynae Oncology, Medanta-The Medicity, Gurgaon, India
| | - Amita Maheshwari
- Department of Gynecologic Oncology, Tata Memorial Centre, Mumbai, India
| | - Ashraf U. Mannan
- Clinical Diagnostics, Strand Center for Genomics and Personalized Medicine, Strand Life Sciences, Bangalore, India
| | | | - Rupinder Sekhon
- Gynae Oncology, Rajiv Gandhi Cancer Institute and Research Centre, New Delhi, India
| | | | - B.K. Smruti
- Bombay Hospital and Medical Research Centre, Mumbai, India
| | - Somashekhar SP
- Manipal Comprehensive Cancer Center, Manipal Hospital, Bengaluru, India
| | - Moushumi Suryavanshi
- Molecular Diagnostics, Rajiv Gandhi Cancer Institute and Research Centre, New Delhi, India
| | - Amit Verma
- Molecular Oncology and Cancer Genetics, Max Hospital, New Delhi, India
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8
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Won D, Kim SH, Kim B, Lee ST, Kang HC, Choi JR. Reanalysis of Genomic Sequencing Results in a Clinical Laboratory: Advantages and Limitations. Front Neurol 2020; 11:612. [PMID: 32695065 PMCID: PMC7338758 DOI: 10.3389/fneur.2020.00612] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2020] [Accepted: 05/25/2020] [Indexed: 11/13/2022] Open
Abstract
Genetic diagnosis of patients with neurodevelopmental disorders is imperative and a standard clinical practice. Considering the continuous accumulation of data on disease-causing variants, reanalysis of previously established sequencing data is important. Periodic reanalysis of variants with uncertain significance has become mandatory in clinical laboratories. Therefore, to confirm the utility of the reanalysis of targeted gene panel data in clinical laboratories, we re-evaluated the data of two groups of patients who had undergone targeted gene panel testing for neurodevelopmental disorders (n = 116) and epileptic encephalopathy (n = 384). This reanalysis was based on a reannotation process reflecting updated databases. Six (5.2%) and seven (1.8%) new pathogenic or likely pathogenic variants were identified in these two groups, respectively, attributable to the updated guidelines and de novo reports from unrelated patients. Although relatively low, considerable increase in the diagnostic yield was confirmed. We suggest that reanalysis of genetic variants, mainly using changes in databases and updated interpretations, should be implemented as a routine practice in clinical laboratories.
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Affiliation(s)
- Dongju Won
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, South Korea
| | - Se Hee Kim
- Division of Pediatric Neurology, Department of Pediatrics, Epilepsy Research Institute, Yonsei University College of Medicine, Seoul, South Korea
| | - Borahm Kim
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, South Korea
| | - Seung-Tae Lee
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, South Korea
| | - Hoon-Chul Kang
- Division of Pediatric Neurology, Department of Pediatrics, Epilepsy Research Institute, Yonsei University College of Medicine, Seoul, South Korea
| | - Jong Rak Choi
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, South Korea
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9
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McCabe MJ, Gauthier MEA, Chan CL, Thompson TJ, De Sousa SMC, Puttick C, Grady JP, Gayevskiy V, Tao J, Ying K, Cipponi A, Deng N, Swarbrick A, Thomas ML, Lord RV, Johns AL, Kohonen-Corish M, O'Toole SA, Clark J, Mueller SA, Gupta R, McCormack AI, Dinger ME, Cowley MJ. Development and validation of a targeted gene sequencing panel for application to disparate cancers. Sci Rep 2019; 9:17052. [PMID: 31745186 PMCID: PMC6864073 DOI: 10.1038/s41598-019-52000-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2019] [Accepted: 10/09/2019] [Indexed: 02/08/2023] Open
Abstract
Next generation sequencing has revolutionised genomic studies of cancer, having facilitated the development of precision oncology treatments based on a tumour's molecular profile. We aimed to develop a targeted gene sequencing panel for application to disparate cancer types with particular focus on tumours of the head and neck, plus test for utility in liquid biopsy. The final panel designed through Roche/Nimblegen combined 451 cancer-associated genes (2.01 Mb target region). 136 patient DNA samples were collected for performance and application testing. Panel sensitivity and precision were measured using well-characterised DNA controls (n = 47), and specificity by Sanger sequencing of the Aryl Hydrocarbon Receptor Interacting Protein (AIP) gene in 89 patients. Assessment of liquid biopsy application employed a pool of synthetic circulating tumour DNA (ctDNA). Library preparation and sequencing were conducted on Illumina-based platforms prior to analysis with our accredited (ISO15189) bioinformatics pipeline. We achieved a mean coverage of 395x, with sensitivity and specificity of >99% and precision of >97%. Liquid biopsy revealed detection to 1.25% variant allele frequency. Application to head and neck tumours/cancers resulted in detection of mutations aligned to published databases. In conclusion, we have developed an analytically-validated panel for application to cancers of disparate types with utility in liquid biopsy.
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Affiliation(s)
- Mark J McCabe
- Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
- Hormones and Cancer Group, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
- St Vincent's Clinical School, UNSW Australia, Sydney, NSW, Australia
| | - Marie-Emilie A Gauthier
- Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
- The Sydney Head and Neck Cancer Institute, Chris O'Brien Lifehouse, Sydney, Australia
- Children's Cancer Institute, Randwick, NSW, Australia
| | - Chia-Ling Chan
- Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
| | - Tanya J Thompson
- Hormones and Cancer Group, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
| | - Sunita M C De Sousa
- Endocrine and Metabolic Unit, Royal Adelaide Hospital, Adelaide, SA, Australia
- Adult Genetics Unit, Royal Adelaide Hospital, Adelaide, SA, Australia
- Department of Genetics and Molecular Pathology, Centre for Cancer Biology, an SA Pathology and University of South Australia alliance, Adelaide, SA, Australia
- School of Medicine, University of Adelaide, Adelaide, SA, Australia
| | - Clare Puttick
- Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
| | - John P Grady
- Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
| | - Velimir Gayevskiy
- Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
| | - Jiang Tao
- Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
| | - Kevin Ying
- Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
| | - Arcadi Cipponi
- The Kinghorn Cancer Centre, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
| | - Niantao Deng
- St Vincent's Clinical School, UNSW Australia, Sydney, NSW, Australia
- The Kinghorn Cancer Centre, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
| | - Alex Swarbrick
- The Kinghorn Cancer Centre, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
| | - Melissa L Thomas
- St Vincent's Centre for Applied Medical Research, Darlinghurst, NSW, Australia
| | - Reginald V Lord
- St Vincent's Centre for Applied Medical Research, Darlinghurst, NSW, Australia
- Notre Dame University School of Medicine, Sydney, NSW, Australia
| | - Amber L Johns
- The Kinghorn Cancer Centre, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
| | - Maija Kohonen-Corish
- The Kinghorn Cancer Centre, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
- St George and Sutherland Clinical School, UNSW Australia, Sydney, NSW, Australia
- Woolcock Institute of Medical Research, University of Sydney, Sydney, NSW, Australia
| | - Sandra A O'Toole
- Northern Clinical School, The University of Sydney, Royal North Shore Hospital, St Leonards, NSW, Australia
- Sydney Medical School, The University of Sydney, Camperdown,, NSW, Australia
- Western Sydney University Medical School, Campbelltown, NSW, Australia
- Australian Clinical Labs, Bella Vista, NSW, Australia
| | - Jonathan Clark
- The Sydney Head and Neck Cancer Institute, Chris O'Brien Lifehouse, Sydney, Australia
- Department of Tissue Pathology and Diagnostic Oncology, Royal Prince Alfred Hospital, Camperdown, NSW, Australia
- Central Clinical School, The University of Sydney, Sydney, NSW, Australia
| | - Simon A Mueller
- Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
- The Sydney Head and Neck Cancer Institute, Chris O'Brien Lifehouse, Sydney, Australia
- Department for Oto-Rhino-Laryngology, Head and Neck Surgery, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Ruta Gupta
- The Sydney Head and Neck Cancer Institute, Chris O'Brien Lifehouse, Sydney, Australia
- Department of Tissue Pathology and Diagnostic Oncology, Royal Prince Alfred Hospital, Camperdown, NSW, Australia
- Central Clinical School, The University of Sydney, Sydney, NSW, Australia
| | - Ann I McCormack
- Hormones and Cancer Group, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
- St Vincent's Clinical School, UNSW Australia, Sydney, NSW, Australia
- Department of Endocrinology, St Vincent's Hospital, Darlinghurst, NSW, Australia
| | - Marcel E Dinger
- Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
- St Vincent's Clinical School, UNSW Australia, Sydney, NSW, Australia
| | - Mark J Cowley
- Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia.
- St Vincent's Clinical School, UNSW Australia, Sydney, NSW, Australia.
- Children's Cancer Institute, Randwick, NSW, Australia.
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10
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Diagnostic gene sequencing panels: from design to report-a technical standard of the American College of Medical Genetics and Genomics (ACMG). Genet Med 2019; 22:453-461. [PMID: 31732716 DOI: 10.1038/s41436-019-0666-z] [Citation(s) in RCA: 75] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Revised: 09/20/2019] [Accepted: 09/22/2019] [Indexed: 12/20/2022] Open
Abstract
Gene sequencing panels are a powerful diagnostic tool for many clinical presentations associated with genetic disorders. Advances in DNA sequencing technology have made gene panels more economical, flexible, and efficient. Because the genes included on gene panels vary widely between laboratories in gene content (e.g., number, reason for inclusion, evidence level for gene-disease association) and technical completeness (e.g., depth of coverage), standards that address technical and clinical aspects of gene panels are needed. This document serves as a technical standard for laboratories designing, offering, and reporting gene panel testing. Although these principles can apply to multiple indications for genetic testing, the primary focus is on diagnostic gene panels (as opposed to carrier screening or predictive testing) with emphasis on technical considerations for the specific genes being tested. This technical standard specifically addresses the impact of gene panel content on clinical sensitivity, specificity, and validity-in the context of gene evidence for contribution to and strength of evidence for gene-disease association-as well as technical considerations such as sequencing limitations, presence of pseudogenes/gene families, mosaicism, transcript choice, detection of copy-number variants, reporting, and disclosure of assay limitations.
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11
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Dehghani M, Rosenblatt KP, Li L, Rakhade M, Amato RJ. Validation and Clinical Applications of a Comprehensive Next Generation Sequencing System for Molecular Characterization of Solid Cancer Tissues. Front Mol Biosci 2019; 6:82. [PMID: 31681791 PMCID: PMC6798036 DOI: 10.3389/fmolb.2019.00082] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2019] [Accepted: 08/23/2019] [Indexed: 12/18/2022] Open
Abstract
Identification of somatic molecular alterations in primary and metastatic solid tumor specimens can provide critical information regarding tumor biology and its heterogeneity, and enables the detection of molecular markers for clinical personalized treatment assignment. However, the optimal methods and target genes for clinical use are still being in development. Toward this end, we validated a targeted amplification-based NGS panel (Oncomine comprehensive assay v1) on a personal genome machine sequencer for molecular profiling of solid tumors. This panel covers 143 genes, and requires low amounts of DNA (20 ng) and RNA (10 ng). We used 27 FFPE tissue specimens, 10 cell lines, and 24 commercial reference materials to evaluate the performance characteristics of this assay. We also evaluated the performance of the assay on 26 OCT-embedded fresh frozen specimens (OEFF). The assay was found to be highly specific (>99%) and sensitive (>99%), with low false-positive and false-negative rates for single-nucleotide variants, indels, copy number alterations, and gene fusions. Our results indicate that this is a reliable method to determine molecular alterations in both fixed and fresh frozen solid tumor samples, including core needle biopsies.
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Affiliation(s)
- Mehdi Dehghani
- Division of Oncology, Department of Internal Medicine, The University of Texas Health Science Center at Houston McGovern Medical School, Houston, TX, United States
| | - Kevin P Rosenblatt
- Division of Oncology, Department of Internal Medicine, The University of Texas Health Science Center at Houston McGovern Medical School, Houston, TX, United States.,NX Prenatal, Inc., Bellaire, TX, United States.,Consultative Genomics, PLLC, Bellaire, TX, United States
| | - Lei Li
- Principle Health Systems, Houston, TX, United States
| | - Mrudula Rakhade
- Division of Oncology, Department of Internal Medicine, The University of Texas Health Science Center at Houston McGovern Medical School, Houston, TX, United States
| | - Robert J Amato
- Division of Oncology, Department of Internal Medicine, The University of Texas Health Science Center at Houston McGovern Medical School, Houston, TX, United States
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12
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Which genes to assess in the NGS diagnostics of intellectual disability? The case for a consensus database-driven and expert-curated approach. Mol Cell Probes 2019; 45:84-88. [PMID: 30914295 DOI: 10.1016/j.mcp.2019.03.006] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2018] [Revised: 03/13/2019] [Accepted: 03/21/2019] [Indexed: 11/22/2022]
Abstract
When deciding on which genes to assess in larger Next-Generation Sequencing (NGS) datasets for the molecular genetic diagnosis of intellectual disability (ID), geneticists today have a variety of gene-phenotype databases and expert-curated gene lists available. To quantify their respective completeness, we compare an ID gene selection auto-generated from the Human Phenotype Ontology gene-phenotype association database and expert-curated ID gene lists from three reputable sources (sysID, the DDD consortium and Genomics England) and analyse some of their differences. We give examples of what we regard as genuine gaps ("missing ID genes") for each of these and conclude that a complementary or consensus approach is needed to maximise diagnostic yield in ID patients. We propose several consensus gene lists with ID-associated genes of different confidence levels.
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13
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Santani A, Simen BB, Briggs M, Lebo M, Merker JD, Nikiforova M, Vasalos P, Voelkerding K, Pfeifer J, Funke B. Designing and Implementing NGS Tests for Inherited Disorders: A Practical Framework with Step-by-Step Guidance for Clinical Laboratories. J Mol Diagn 2018; 21:369-374. [PMID: 30605766 DOI: 10.1016/j.jmoldx.2018.11.004] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2018] [Revised: 10/17/2018] [Accepted: 11/17/2018] [Indexed: 11/16/2022] Open
Abstract
Comprehensive next-generation sequencing (NGS) tests are increasingly used as first-line tests in the evaluation of patients with suspected heritable disease. Despite major technical simplifications, these assays still pose significant challenges for molecular testing laboratories. Existing professional guidelines and recommendations provide a framework for laboratories implementing such tests, but in-depth, concrete guidance is generally not provided. Consequently, there is variability in how laboratories interpret and subsequently implement these regulatory frameworks. To address the need for more detailed guidance, the College of American Pathologists with representation from the Association for Molecular Pathologists assembled a working group to create a practical resource for clinical laboratories. This initial work is focused on variant detection in the setting of inherited disease and provides structured worksheets that guide the user through the entire life cycle of an NGS test, including design, optimization, validation, and quality management with additional guidance for clinical bioinformatics. This resource is designed to be a living document that is publicly available and will be updated with user and expert feedback as the wet bench and bioinformatic landscapes continue to evolve. It is intended to facilitate the standardization of NGS testing across laboratories and therefore to improve patient care.
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Affiliation(s)
- Avni Santani
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
| | | | - Marian Briggs
- Proficiency Testing Department, College of American Pathologists, Northfield, Illinois
| | - Matthew Lebo
- Department of Pathology, Harvard Medical School/Brigham and Women's Hospital, Boston, Massachusetts
| | - Jason D Merker
- Department of Pathology and Laboratory Medicine, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina
| | - Marina Nikiforova
- Department of Molecular & Genomic Pathology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Patricia Vasalos
- Proficiency Testing Department, College of American Pathologists, Northfield, Illinois
| | - Karl Voelkerding
- Department of Pathology, University of Utah School of Medicine/ARUP Institute for Clinical and Experimental Pathology, Salt Lake City, Utah
| | - John Pfeifer
- Department of Pathology, Washington University School of Medicine, St. Louis, Missouri
| | - Birgit Funke
- Veritas Genetics, Danvers, Massachusetts; Department of Pathology, Harvard Medical School/Massachusetts General Hospital, Boston, Massachusetts.
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14
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Mustafa AE, Faquih T, Baz B, Kattan R, Al-Issa A, Tahir AI, Imtiaz F, Ramzan K, Al-Sayed M, Alowain M, Al-Hassnan Z, Al-Zaidan H, Abouelhoda M, Al-Mubarak BR, Al Tassan NA. Validation of Ion Torrent TM Inherited Disease Panel with the PGM TM Sequencing Platform for Rapid and Comprehensive Mutation Detection. Genes (Basel) 2018; 9:genes9050267. [PMID: 29789446 PMCID: PMC5977207 DOI: 10.3390/genes9050267] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2018] [Revised: 05/14/2018] [Accepted: 05/18/2018] [Indexed: 01/02/2023] Open
Abstract
Quick and accurate molecular testing is necessary for the better management of many inherited diseases. Recent technological advances in various next generation sequencing (NGS) platforms, such as target panel-based sequencing, has enabled comprehensive, quick, and precise interrogation of many genetic variations. As a result, these technologies have become a valuable tool for gene discovery and for clinical diagnostics. The AmpliSeq Inherited Disease Panel (IDP) consists of 328 genes underlying more than 700 inherited diseases. Here, we aimed to assess the performance of the IDP as a sensitive and rapid comprehensive gene panel testing. A total of 88 patients with inherited diseases and causal mutations that were previously identified by Sanger sequencing were randomly selected for assessing the performance of the IDP. The IDP successfully detected 93.1% of the mutations in our validation cohort, achieving high overall gene coverage (98%). The sensitivity for detecting single nucleotide variants (SNVs) and short Indels was 97.3% and 69.2%, respectively. IDP, when coupled with Ion Torrent Personal Genome Machine (PGM), delivers comprehensive and rapid sequencing for genes that are responsible for various inherited diseases. Our validation results suggest the suitability of this panel for use as a first-line screening test after applying the necessary clinical validation.
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Affiliation(s)
- Abeer E Mustafa
- Behavioral Genetics Unit, Department of Genetics, King Faisal Specialist Hospital & Research Center, P.O. Box 3354, Riyadh 11211, Saudi Arabia.
- Saudi Human Genome Program, King Abdulaziz City for Science & Technology, Riyadh, Saudi Arabia.
| | - Tariq Faquih
- Department of Genetics, King Faisal Specialist Hospital & Research Centre. P.O. Box 3354, Riyadh 11211, Saudi Arabia.
- Saudi Human Genome Program, King Abdulaziz City for Science & Technology, Riyadh, Saudi Arabia.
| | - Batoul Baz
- Behavioral Genetics Unit, Department of Genetics, King Faisal Specialist Hospital & Research Center, P.O. Box 3354, Riyadh 11211, Saudi Arabia.
| | - Rana Kattan
- Saudi Human Genome Program, King Abdulaziz City for Science & Technology, Riyadh, Saudi Arabia.
| | - Abdulelah Al-Issa
- Saudi Human Genome Program, King Abdulaziz City for Science & Technology, Riyadh, Saudi Arabia.
| | - Asma I Tahir
- Behavioral Genetics Unit, Department of Genetics, King Faisal Specialist Hospital & Research Center, P.O. Box 3354, Riyadh 11211, Saudi Arabia.
| | - Faiqa Imtiaz
- Department of Genetics, King Faisal Specialist Hospital & Research Centre. P.O. Box 3354, Riyadh 11211, Saudi Arabia.
| | - Khushnooda Ramzan
- Department of Genetics, King Faisal Specialist Hospital & Research Centre. P.O. Box 3354, Riyadh 11211, Saudi Arabia.
| | - Moeenaldeen Al-Sayed
- Department of Medical Genetics, King Faisal Specialist Hospital & Research Centre, P.O. Box 3354, Riyadh 11211, Saudi Arabia.
| | - Mohammed Alowain
- Department of Medical Genetics, King Faisal Specialist Hospital & Research Centre, P.O. Box 3354, Riyadh 11211, Saudi Arabia.
| | - Zuhair Al-Hassnan
- Department of Medical Genetics, King Faisal Specialist Hospital & Research Centre, P.O. Box 3354, Riyadh 11211, Saudi Arabia.
| | - Hamad Al-Zaidan
- Department of Medical Genetics, King Faisal Specialist Hospital & Research Centre, P.O. Box 3354, Riyadh 11211, Saudi Arabia.
| | - Mohamed Abouelhoda
- Department of Genetics, King Faisal Specialist Hospital & Research Centre. P.O. Box 3354, Riyadh 11211, Saudi Arabia.
- Saudi Human Genome Program, King Abdulaziz City for Science & Technology, Riyadh, Saudi Arabia.
| | - Bashayer R Al-Mubarak
- Behavioral Genetics Unit, Department of Genetics, King Faisal Specialist Hospital & Research Center, P.O. Box 3354, Riyadh 11211, Saudi Arabia.
- Saudi Human Genome Program, King Abdulaziz City for Science & Technology, Riyadh, Saudi Arabia.
| | - Nada A Al Tassan
- Behavioral Genetics Unit, Department of Genetics, King Faisal Specialist Hospital & Research Center, P.O. Box 3354, Riyadh 11211, Saudi Arabia.
- Saudi Human Genome Program, King Abdulaziz City for Science & Technology, Riyadh, Saudi Arabia.
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15
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AUDIOME: a tiered exome sequencing-based comprehensive gene panel for the diagnosis of heterogeneous nonsyndromic sensorineural hearing loss. Genet Med 2018; 20:1600-1608. [PMID: 29595809 DOI: 10.1038/gim.2018.48] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2017] [Accepted: 02/13/2018] [Indexed: 01/25/2023] Open
Abstract
PURPOSE Hereditary hearing loss is highly heterogeneous. To keep up with rapidly emerging disease-causing genes, we developed the AUDIOME test for nonsyndromic hearing loss (NSHL) using an exome sequencing (ES) platform and targeted analysis for the curated genes. METHODS A tiered strategy was implemented for this test. Tier 1 includes combined Sanger and targeted deletion analyses of the two most common NSHL genes and two mitochondrial genes. Nondiagnostic tier 1 cases are subjected to ES and array followed by targeted analysis of the remaining AUDIOME genes. RESULTS ES resulted in good coverage of the selected genes with 98.24% of targeted bases at >15 ×. A fill-in strategy was developed for the poorly covered regions, which generally fell within GC-rich or highly homologous regions. Prospective testing of 33 patients with NSHL revealed a diagnosis in 11 (33%) and a possible diagnosis in 8 cases (24.2%). Among those, 10 individuals had variants in tier 1 genes. The ES data in the remaining nondiagnostic cases are readily available for further analysis. CONCLUSION The tiered and ES-based test provides an efficient and cost-effective diagnostic strategy for NSHL, with the potential to reflex to full exome to identify causal changes outside of the AUDIOME test.
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16
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Romasko EJ, Devkota B, Biswas S, Jayaraman V, Rajagopalan R, Dulik MC, Thom CS, Choi J, Jairam S, Scarano MI, Krantz ID, Spinner NB, Conlin LK, Lambert MP. Utility and limitations of exome sequencing in the molecular diagnosis of pediatric inherited platelet disorders. Am J Hematol 2018; 93:8-16. [PMID: 28960434 DOI: 10.1002/ajh.24917] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2017] [Revised: 09/21/2017] [Accepted: 09/23/2017] [Indexed: 12/21/2022]
Abstract
Inherited platelet disorders (IPD) are a heterogeneous group of rare disorders that affect platelet number and function and often predispose to other significant medical complications. In spite of the identification of over 50 IPD disease-associated genes, a molecular diagnosis is only identified in a minority (10%) of affected patients without a clinically suspected etiology. We studied a cohort of 21 pediatric patients with suspected IPDs by exome sequencing (ES) to: (1) examine the performance of the exome test for IPD genes, (2) determine if this exome-wide diagnostic test provided a higher diagnostic yield than has been previously reported, (3) to evaluate the frequency of variants of uncertain significance identified, and (4) to identify candidate variants for functional evaluation in patients with an uncertain or negative diagnosis. We established a high priority gene list of 53 genes, evaluated exome capture kit performance, and determined the coverage for these genes and disease-related variants. We identified likely disease causing variants in 5 of the 21 probands (23.8%) and variants of uncertain significance in 52% of patients studied. In conclusion, ES has the potential to molecularly diagnose causes of IPD, and to identify candidate genes for functional evaluation. Robust exome sequencing also requires that coverage of genes known to be associated with clinical findings of interest need to be carefully examined and supplemented if necessary. Clinicians who undertake ES should understand the limitations of the test and the full significance of results that may be returned.
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Affiliation(s)
- Edward J. Romasko
- Division of Human Genetics; Children's Hospital of Philadelphia; Philadelphia Pennsylvania
| | - Batsal Devkota
- Department of Biomedical and Health Informatics; Children's Hospital of Philadelphia; Philadelphia Pennsylvania
| | - Sawona Biswas
- Division of Human Genetics; Children's Hospital of Philadelphia; Philadelphia Pennsylvania
| | - Vijayakumar Jayaraman
- Division of Human Genetics; Children's Hospital of Philadelphia; Philadelphia Pennsylvania
| | - Ramakrishnan Rajagopalan
- Department of Biomedical and Health Informatics; Children's Hospital of Philadelphia; Philadelphia Pennsylvania
| | - Matthew C. Dulik
- Division of Genomic Diagnostics; Children's Hospital of Philadelphia; Philadelphia Pennsylvania
| | - Christopher S. Thom
- Department of Pediatrics; University of Pennsylvania School of Medicine, Philadelphia; Philadelphia Pennsylvania
| | - Jiwon Choi
- Division of Human Genetics; Children's Hospital of Philadelphia; Philadelphia Pennsylvania
| | - Sowmya Jairam
- Department of Pathology; Memorial Sloan Kettering Cancer Center; New York New York
| | | | - Ian D. Krantz
- Division of Human Genetics; Children's Hospital of Philadelphia; Philadelphia Pennsylvania
- Department of Pediatrics; University of Pennsylvania School of Medicine, Philadelphia; Philadelphia Pennsylvania
| | - Nancy B. Spinner
- Division of Genomic Diagnostics; Children's Hospital of Philadelphia; Philadelphia Pennsylvania
- Department of Pathology and Laboratory Medicine; University of Pennsylvania School of Medicine; Philadelphia Pennsylvania
| | - Laura K. Conlin
- Division of Genomic Diagnostics; Children's Hospital of Philadelphia; Philadelphia Pennsylvania
- Department of Pathology and Laboratory Medicine; University of Pennsylvania School of Medicine; Philadelphia Pennsylvania
| | - Michele P. Lambert
- Department of Pediatrics; University of Pennsylvania School of Medicine, Philadelphia; Philadelphia Pennsylvania
- Division of Hematology; Children's Hospital of Philadelphia; Philadelphia Pennsylvania
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