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van der Geest MA, Maeckelberghe ELM, van Gijn ME, Lucassen AM, Swertz MA, van Langen IM, Plantinga M. Systematic reanalysis of genomic data by diagnostic laboratories: a scoping review of ethical, economic, legal and (psycho)social implications. Eur J Hum Genet 2024; 32:489-497. [PMID: 38480795 PMCID: PMC11061183 DOI: 10.1038/s41431-023-01529-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 12/11/2023] [Accepted: 12/19/2023] [Indexed: 05/02/2024] Open
Abstract
With the introduction of Next Generation Sequencing (NGS) techniques increasing numbers of disease-associated variants are being identified. This ongoing progress might lead to diagnoses in formerly undiagnosed patients and novel insights in already solved cases. Therefore, many studies suggest introducing systematic reanalysis of NGS data in routine diagnostics. Introduction will, however, also have ethical, economic, legal and (psycho)social (ELSI) implications that Genetic Health Professionals (GHPs) from laboratories should consider before possible implementation of systematic reanalysis. To get a first impression we performed a scoping literature review. Our findings show that for the vast majority of included articles ELSI aspects were not mentioned as such. However, often these issues were raised implicitly. In total, we identified nine ELSI aspects, such as (perceived) professional responsibilities, implications for consent and cost-effectiveness. The identified ELSI aspects brought forward necessary trade-offs for GHPs to consciously take into account when considering responsible implementation of systematic reanalysis of NGS data in routine diagnostics, balancing the various strains on their laboratories and personnel while creating optimal results for new and former patients. Some important aspects are not well explored yet. For example, our study shows GHPs see the values of systematic reanalysis but also experience barriers, often mentioned as being practical or financial only, but in fact also being ethical or psychosocial. Engagement of these GHPs in further research on ELSI aspects is important for sustainable implementation.
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Affiliation(s)
- Marije A van der Geest
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
| | - Els L M Maeckelberghe
- Institute for Medical Education, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Marielle E van Gijn
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Anneke M Lucassen
- Faculty of Medicine, Clinical Ethics and Law, University of Southampton, Southampton, UK
- Centre for Personalised Medicine, Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Morris A Swertz
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Irene M van Langen
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Mirjam Plantinga
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
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Lin A, Torres CM, Hobbs EC, Bardhan J, Aley SB, Spencer CT, Taylor KL, Chiang T. Computational and Systems Biology Advances to Enable Bioagent Agnostic Signatures. Health Secur 2024; 22:130-139. [PMID: 38483337 PMCID: PMC11044874 DOI: 10.1089/hs.2023.0076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/26/2024] Open
Affiliation(s)
- Andy Lin
- Andy Lin, PhD, is a Linus Pauling Distinguished Postdoctoral Fellow; in the National Security Directorate, Pacific Northwest National Laboratory, Seattle, WA
| | - Cameron M. Torres
- Cameron M. Torres is a Graduate Research Assistant and Wieland Fellow, Department of Biological Sciences; at the University of Texas at El Paso, El Paso, TX
| | - Errett C. Hobbs
- Errett C. Hobbs, PhD, is a Data Scientist; in the National Security Directorate, Pacific Northwest National Laboratory, Seattle, WA
| | - Jaydeep Bardhan
- Jaydeep Bardhan, PhD, is a Research Line Manager, Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA
| | - Stephen B. Aley
- Stephen B. Aley, PhD, is a Professor, Biological Sciences, and an Associate Vice President for Research, Sponsored Projects; at the University of Texas at El Paso, El Paso, TX
| | - Charles T. Spencer
- Charles T. Spencer, PhD, is an Associate Professor, Biological Sciences, and Edward and Barbara Brown Egbert Endowed Chair of the Department of Biological Sciences; at the University of Texas at El Paso, El Paso, TX
| | - Karen L. Taylor
- Karen L. Taylor, MS, is a Research Line Manager; in the National Security Directorate, Pacific Northwest National Laboratory, Seattle, WA
| | - Tony Chiang
- Tony Chiang, PhD, is a Data Scientist; in the National Security Directorate, Pacific Northwest National Laboratory, Seattle, WA
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Lin A, Torres C, Hobbs EC, Bardhan J, Aley S, Spencer CT, Taylor KL, Chiang T. Computational and Systems Biology Advances to Enable Bioagent Agnostic Signatures. ARXIV 2024:arXiv:2310.13898v3. [PMID: 37961741 PMCID: PMC10635321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Enumerated threat agent lists have long driven biodefense priorities. The global SARS-CoV-2 pandemic demonstrated the limitations of searching for known threat agents as compared to a more agnostic approach. Recent technological advances are enabling agent-agnostic biodefense, especially through the integration of multi-modal observations of host-pathogen interactions directed by a human immunological model. Although well-developed technical assays exist for many aspects of human-pathogen interaction, the analytic methods and pipelines to combine and holistically interpret the results of such assays are immature and require further investments to exploit new technologies. In this manuscript, we discuss potential immunologically based bioagent-agnostic approaches and the computational tool gaps the community should prioritize filling.
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Affiliation(s)
- Andy Lin
- National Security Directorate, Pacific Northwest National Laboratory, Seattle, WA 98109, USA
| | - Cameron Torres
- Department of Biological Sciences, University of Texas at El Paso, El Paso, Texas 79968 USA
| | - Errett C Hobbs
- National Security Directorate, Pacific Northwest National Laboratory, Seattle, WA 98109, USA
| | - Jaydeep Bardhan
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Seattle, WA 98109, USA
| | - Stephen Aley
- Department of Biological Sciences, University of Texas at El Paso, El Paso, Texas 79968 USA
| | - Charles T Spencer
- Department of Biological Sciences, University of Texas at El Paso, El Paso, Texas 79968 USA
| | - Karen L Taylor
- National Security Directorate, Pacific Northwest National Laboratory, Seattle, WA 98109, USA
| | - Tony Chiang
- National Security Directorate, Pacific Northwest National Laboratory, Seattle, WA 98109, USA
- Department of Biological Sciences, University of Texas at El Paso, El Paso, Texas 79968 USA
- Department of Mathematics, University of Washington, Seattle 98102 USA
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Kleyner R, Ung N, Arif M, Marchi E, Amble K, Gavin M, Madrid R, Lyon G. ITPR1-associated spinocerebellar ataxia with craniofacial features-additional evidence for germline mosaicism. Cold Spring Harb Mol Case Stud 2023; 9:a006303. [PMID: 37821226 PMCID: PMC10815276 DOI: 10.1101/mcs.a006303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 10/02/2023] [Indexed: 10/13/2023] Open
Abstract
Inositol 1,4,5-triphosphate receptor type 1 (ITPR1) is an endoplasmic reticulum-bound intracellular inositol triphosphate receptor involved in the regulation of intracellular calcium. Pathogenic variants in ITPR1 are associated with spinocerebellar ataxia (SCA) types 15/16 and 29 and have recently been implicated in a facial microsomia syndrome. In this report, we present a family with three affected individuals found to have a heterozygous missense c.800C > T (predicted p.Thr267Met) who present clinically with a SCA29-like syndrome. All three individuals presented with varying degrees of ataxia, developmental delay, and apparent intellectual disability, as well as craniofacial involvement-an uncommon finding in patients with SCA29. The variant was identified using clinical exome sequencing and validated with Sanger sequencing. It is presumed to be inherited via parental germline mosaicism. We present our findings to provide additional evidence for germline mosaic inheritance of SCA29, as well as to expand the clinical phenotype of the syndrome.
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Affiliation(s)
- Robert Kleyner
- Department of Human Genetics, NYS Institute for Basic Research in Developmental Disabilities, Staten Island, New York 10314, USA
- Department of Neurological Surgery, Renaissance School of Medicine at Stony Brook University, Stony Brook, New York 11794-8122, USA
| | - Nathaniel Ung
- Department of Human Genetics, NYS Institute for Basic Research in Developmental Disabilities, Staten Island, New York 10314, USA
| | - Mohammad Arif
- Department of Human Genetics, NYS Institute for Basic Research in Developmental Disabilities, Staten Island, New York 10314, USA
- Division of Cytogenetics and Molecular Pathology, North Shore University Hospital, Manhasset, New York 11030, USA
| | - Elaine Marchi
- Department of Human Genetics, NYS Institute for Basic Research in Developmental Disabilities, Staten Island, New York 10314, USA
| | - Karen Amble
- George A. Jervis Clinic, NYS Institute for Basic Research in Developmental Disabilities, Staten Island, New York 10314, USA
| | - Maureen Gavin
- George A. Jervis Clinic, NYS Institute for Basic Research in Developmental Disabilities, Staten Island, New York 10314, USA
| | - Ricardo Madrid
- George A. Jervis Clinic, NYS Institute for Basic Research in Developmental Disabilities, Staten Island, New York 10314, USA
| | - Gholson Lyon
- Department of Human Genetics, NYS Institute for Basic Research in Developmental Disabilities, Staten Island, New York 10314, USA;
- George A. Jervis Clinic, NYS Institute for Basic Research in Developmental Disabilities, Staten Island, New York 10314, USA
- Biology PhD Program, The Graduate Center, The City University of New York, New York, New York 10016, USA
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Updated Stroke Gene Panels: Rapid evolution of knowledge on monogenic causes of stroke. Eur J Hum Genet 2023; 31:239-242. [PMID: 36253534 PMCID: PMC9905069 DOI: 10.1038/s41431-022-01207-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 09/11/2022] [Accepted: 09/28/2022] [Indexed: 11/08/2022] Open
Abstract
This article updates our previous Stroke Gene Panels (SGP) from 2017. Online Mendelian Inheritance in Man and PubMed were searched. We divided detected genes into two SGP groups, SGP1: genes reported in at least one person with stroke and associated with one or more clinical subgroups: large artery atherosclerotic, large artery non-atherosclerotic (tortuosity, dolichoectasia, aneurysm, non-atherosclerotic dissection or occlusion), cerebral small vessel diseases, cardio-embolic (arrhythmia, heart defect, cardiomyopathy), coagulation dysfunctions (venous thrombosis, arterial thrombosis, bleeding tendency), intracerebral hemorrhage, vascular malformations (cavernoma, arteriovenous malformations) and metabolism disorders; and SGP2: genes related to diseases that may predispose to stroke. We identified 168 SGP1 genes, 70 of these were validated for clinical practice. We also detected 72 SGP2 genes. Nine genes were removed because of conflicting evidence. The number of genes increased from 168 to 240 during 4.5-years, reflecting a dynamic evolution and the need for regular updates for research and clinical use.
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Diagnostic performance of automated, streamlined, daily updated exome analysis in patients with neurodevelopmental delay. Mol Med 2022; 28:38. [PMID: 35346031 PMCID: PMC8962085 DOI: 10.1186/s10020-022-00464-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 03/15/2022] [Indexed: 11/29/2022] Open
Abstract
Background The diagnostic yield of whole-exome sequencing (WES) varies from 30%–50% among patients with mild to severe neurodevelopmental delay (NDD)/intellectual disability (ID). Routine retrospective reanalysis of undiagnosed patients has increased the total diagnostic yield by 10–15%. Here, we performed proband-only WES of 1065 patients with NDD/ID and applied a prospective, daily reanalysis automated pipeline to patients without clinically significant variants to facilitate diagnoses. Methods The study included 1065 consecutive patients from 1056 nonconsanguineous unrelated families from 10 multimedical centers in South Korea between April 2018 and August 2021. WES data were analyzed daily using automatically updated databases with variant classification and symptom similarity scoring systems. Results At the initial analysis, 402 patients from 1056 unrelated families (38.0%, 402/1,056 families) had a positive genetic diagnosis. Daily prospective, automated reanalysis resulted in the identification of 34 additional diagnostic variants in 31 patients (3%), which increased our molecular diagnostic yield to 41% (433/1056 families). Among these 31 patients, 26 were diagnosed with 23 different diseases that were newly discovered after 2019. The time interval between the first analysis and the molecular diagnosis by reanalysis was 1.2 ± 0.9 years, which was shorter in the patients enrolled during the latter part of the study period. Conclusion Daily updated databases and reanalysis systems enhance the diagnostic performance in patients with NDD/ID, contributing to the rapid diagnosis of undiagnosed patients by applying the latest molecular genetic information. Supplementary Information The online version contains supplementary material available at 10.1186/s10020-022-00464-x.
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Maia N, Nabais Sá MJ, Melo-Pires M, de Brouwer APM, Jorge P. Intellectual disability genomics: current state, pitfalls and future challenges. BMC Genomics 2021; 22:909. [PMID: 34930158 PMCID: PMC8686650 DOI: 10.1186/s12864-021-08227-4] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Accepted: 12/02/2021] [Indexed: 12/18/2022] Open
Abstract
Intellectual disability (ID) can be caused by non-genetic and genetic factors, the latter being responsible for more than 1700 ID-related disorders. The broad ID phenotypic and genetic heterogeneity, as well as the difficulty in the establishment of the inheritance pattern, often result in a delay in the diagnosis. It has become apparent that massive parallel sequencing can overcome these difficulties. In this review we address: (i) ID genetic aetiology, (ii) clinical/medical settings testing, (iii) massive parallel sequencing, (iv) variant filtering and prioritization, (v) variant classification guidelines and functional studies, and (vi) ID diagnostic yield. Furthermore, the need for a constant update of the methodologies and functional tests, is essential. Thus, international collaborations, to gather expertise, data and resources through multidisciplinary contributions, are fundamental to keep track of the fast progress in ID gene discovery.
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Affiliation(s)
- Nuno Maia
- Centro de Genética Médica Jacinto de Magalhães (CGM), Centro Hospitalar Universitário do Porto (CHUPorto), Porto, Portugal. .,Unit for Multidisciplinary Research in Biomedicine (UMIB), Institute of Biomedical Sciences Abel Salazar (ICBAS), and ITR - Laboratory for Integrative and Translational Research in Population Health, University of Porto, Porto, Portugal.
| | - Maria João Nabais Sá
- Unit for Multidisciplinary Research in Biomedicine (UMIB), Institute of Biomedical Sciences Abel Salazar (ICBAS), and ITR - Laboratory for Integrative and Translational Research in Population Health, University of Porto, Porto, Portugal
| | - Manuel Melo-Pires
- Serviço de Neuropatologia, Centro Hospitalar e Universitário do Porto (CHUPorto), Porto, Portugal
| | - Arjan P M de Brouwer
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, The Netherlands
| | - Paula Jorge
- Centro de Genética Médica Jacinto de Magalhães (CGM), Centro Hospitalar Universitário do Porto (CHUPorto), Porto, Portugal.,Unit for Multidisciplinary Research in Biomedicine (UMIB), Institute of Biomedical Sciences Abel Salazar (ICBAS), and ITR - Laboratory for Integrative and Translational Research in Population Health, University of Porto, Porto, Portugal
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Mensah NE, Sabir AH, Bond A, Roworth W, Irving M, Davies AC, Ahn JW. Automated reanalysis application to assist in detecting novel gene–disease associations after genome sequencing. Genet Med 2021; 24:811-820. [DOI: 10.1016/j.gim.2021.11.021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 08/31/2021] [Accepted: 11/24/2021] [Indexed: 02/02/2023] Open
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Prakash A, Mahoney KE, Orsburn BC. Cloud Computing Based Immunopeptidomics Utilizing Community Curated Variant Libraries Simplifies and Improves Neo-Antigen Discovery in Metastatic Melanoma. Cancers (Basel) 2021; 13:3754. [PMID: 34359654 PMCID: PMC8345142 DOI: 10.3390/cancers13153754] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2021] [Revised: 07/19/2021] [Accepted: 07/20/2021] [Indexed: 11/17/2022] Open
Abstract
Unique peptide neo-antigens presented on the cell surface are attractive targets for researchers in nearly all areas of personalized medicine. Cells presenting peptides with mutated or other non-canonical sequences can be utilized for both targeted therapies and diagnostics. Today's state-of-the-art pipelines utilize complementary proteogenomic approaches where RNA or ribosomal sequencing data helps to create libraries from which tandem mass spectrometry data can be compared. In this study, we present an alternative approach whereby cloud computing is utilized to power neo-antigen searches against community curated databases containing more than 7 million human sequence variants. Using these expansive databases of high-quality sequences as a reference, we reanalyze the original data from two previously reported studies to identify neo-antigen targets in metastatic melanoma. Using our approach, we identify 79 percent of the non-canonical peptides reported by previous genomic analyses of these files. Furthermore, we report 18-fold more non-canonical peptides than previously reported. The novel neo-antigens we report herein can be corroborated by secondary analyses such as high predicted binding affinity, when analyzed by well-established tools such as NetMHC. Finally, we report 738 non-canonical peptides shared by at least five patient samples, and 3258 shared across the two studies. This illustrates the depth of data that is present, but typically missed by lower statistical power proteogenomic approaches. This large list of shared peptides across the two studies, their annotation, non-canonical origin, as well as MS/MS spectra from the two studies are made available on a web portal for community analysis.
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Affiliation(s)
- Amol Prakash
- Optys Tech Corporation, Shrewsbury, MA 01545, USA;
| | - Keira E. Mahoney
- Department of Chemistry, University of Virginia, Charlottesville, VA 22904-4319, USA;
| | - Benjamin C. Orsburn
- Department of Pharmacology and Molecular Sciences, Johns Hopkins University, Baltimore, MD 21205, USA
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