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Birch P, Beauchesne R, Bansback N, Boelman C, Connolly M, Demos M, Friedman JM, Race S, Stockler S, Elliott AM, Adam S. Where there is no genetic counselor: An online decision-aid supports the majority of parents' diagnostic genomic testing choices for their children. Genet Med 2024; 26:101173. [PMID: 38828700 DOI: 10.1016/j.gim.2024.101173] [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: 02/13/2024] [Revised: 05/24/2024] [Accepted: 05/28/2024] [Indexed: 06/05/2024] Open
Abstract
PURPOSE We evaluated DECIDE, an online pretest decision-support tool for diagnostic genomic testing, in nongenetics specialty clinics where there are no genetic counselors (GCs). METHODS Families of children offered genomic testing were eligible to participate. Fifty-six parents/guardians completed DECIDE at home, at their convenience. DECIDE includes an integrated knowledge quiz and decisional conflict screen. Six months later, parents were offered follow-up questionnaires and interviews about their experiences. RESULTS Forty parents (71%) had sufficient knowledge and no decisional conflict surrounding their testing decision, but 6 of this group had residual questions. These 6, plus 16 with decisional conflict or insufficient knowledge, saw a GC. At follow-up, little-to-no decisional regret and few negative emotions were identified in any parents. Most chose testing and described their decision as easy, yet stressful, and described many motivations for sequencing. Parents appreciated the simple comprehensive information DECIDE provided and the ability to view it in a low-stress environment. CONCLUSION DECIDE provides adequate decision-support to enable most parents to make value-consistent choices about genetic testing for their child. Parents reported that DECIDE helped to clarify motivations for pursuing (or declining) testing. DECIDE is a timely, well-tested, and accessible tool in clinical settings without GCs.
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Affiliation(s)
- Patricia Birch
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada; BC Children's Hospital Research Institute, Vancouver, BC, Canada
| | - Rhea Beauchesne
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
| | - Nick Bansback
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
| | - Cyrus Boelman
- BC Children's Hospital Research Institute, Vancouver, BC, Canada; Division of Neurology, Department of Pediatrics, University of British Columbia, Vancouver, BC, Canada
| | - Mary Connolly
- BC Children's Hospital Research Institute, Vancouver, BC, Canada; Division of Neurology, Department of Pediatrics, University of British Columbia, Vancouver, BC, Canada
| | - Michelle Demos
- BC Children's Hospital Research Institute, Vancouver, BC, Canada; Division of Neurology, Department of Pediatrics, University of British Columbia, Vancouver, BC, Canada
| | - Jan M Friedman
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada; BC Children's Hospital Research Institute, Vancouver, BC, Canada
| | - Simone Race
- BC Children's Hospital Research Institute, Vancouver, BC, Canada; Division of Biochemical Diseases, Department of Pediatrics, University of British Columbia, Vancouver, BC, Canada
| | - Sylvia Stockler
- BC Children's Hospital Research Institute, Vancouver, BC, Canada; Division of Biochemical Diseases, Department of Pediatrics, University of British Columbia, Vancouver, BC, Canada
| | - Alison M Elliott
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada; BC Children's Hospital Research Institute, Vancouver, BC, Canada; British Columbia Women's Hospital Research Institute, Vancouver, BC, Canada
| | - Shelin Adam
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada; BC Children's Hospital Research Institute, Vancouver, BC, Canada.
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Viora-Dupont E, Robert F, Chassagne A, Pélissier A, Staraci S, Sanlaville D, Edery P, Lesca G, Putoux A, Pons L, Cadenes A, Baurand A, Sawka C, Bertolone G, Spetchian M, Yousfi M, Salvi D, Gautier E, Vitobello A, Denommé-Pichon AS, Bruel AL, Tran Mau-Them F, Faudet A, Keren B, Labalme A, Chatron N, Abel C, Dupuis-Girod S, Poisson A, Buratti J, Mignot C, Afenjar A, Whalen S, Charles P, Heide S, Mouthon L, Moutton S, Sorlin A, Nambot S, Briffaut AS, Asensio ML, Philippe C, Thauvin-Robinet C, Héron D, Rossi M, Meunier-Bellard N, Gargiulo M, Peyron C, Binquet C, Faivre L. Expectations, needs and mid-term outcomes in people accessing to secondary findings from ES: 1st French mixed study (FIND Study). Eur J Hum Genet 2024; 32:1166-1183. [PMID: 38802530 PMCID: PMC11368951 DOI: 10.1038/s41431-024-01616-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 03/01/2024] [Accepted: 04/17/2024] [Indexed: 05/29/2024] Open
Abstract
Generation and subsequently accessibility of secondary findings (SF) in diagnostic practice is a subject of debate around the world and particularly in Europe. The French FIND study has been set up to assess patient/parent expectations regarding SF from exome sequencing (ES) and to collect their real-life experience until 1 year after the delivery of results. 340 patients who had ES for undiagnosed developmental disorders were included in this multicenter mixed study (quantitative N = 340; qualitative N = 26). Three groups of actionable SF were rendered: predisposition to late-onset actionable diseases; genetic counseling; pharmacogenomics. Participants expressed strong interest in obtaining SF and a high satisfaction level when a SF is reported. The medical actionability of the SF reinforced parents' sense of taking action for their child and was seen as an opportunity. While we observed no serious psychological concerns, we showed that these results could have psychological consequences, in particular for late-onset actionable diseases SF, within families already dealing with rare diseases. This study shows that participants remain in favor of accessing SF despite the potential psychological, care, and lifestyle impacts, which are difficult to anticipate. The establishment of a management protocol, including the support of a multidisciplinary team, would be necessary if national policy allows the reporting of these data.
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Affiliation(s)
- Eléonore Viora-Dupont
- FHU TRANSLAD, GAD INSERM UMR 1231, University of Burgundy, Dijon, France.
- Genetics Department, Reference Center for Developmental Disorders, University Hospital, Dijon, France.
| | - Françoise Robert
- Genetics Department, Reference Center for Developmental Disorders, HCL, Bron, France
- Clinical Psychology Lab., Psychopathology, Psychoanalysis (EA4056, ED 261), University of Paris, Sorbonne Paris City, Paris, France
| | - Aline Chassagne
- FHU TRANSLAD, GAD INSERM UMR 1231, University of Burgundy, Dijon, France
- Laboratory of Sociology and Anthropology (LaSA, EA3189), University of Burgundy-Franche-Comté, Besançon, France
| | - Aurore Pélissier
- FHU TRANSLAD, GAD INSERM UMR 1231, University of Burgundy, Dijon, France
- Laboratory of economy (LEDi), University of Burgundy, Dijon, France
| | - Stéphanie Staraci
- Genetics Department, Reference Center for Hereditary Cardiac Disorders, GH APHP, Paris, France
| | - Damien Sanlaville
- Genetics Department, Reference Center for Developmental Disorders, HCL, Bron, France
- Univ Lyon, Univ Lyon 1, CNRS, INSERM, Physiopathologie et Génétique du Neurone et du Muscle, UMR5261, U1315, Institut NeuroMyoGène, 69008, Lyon, France
| | - Patrick Edery
- Genetics Department, Reference Center for Developmental Disorders, HCL, Bron, France
- INSERM U1028, CNRS UMR5292, CRNL, GENDEV Team, University of Claude Bernard Lyon 1, Bron, France
| | - Gaetan Lesca
- Genetics Department, Reference Center for Developmental Disorders, HCL, Bron, France
- Univ Lyon, Univ Lyon 1, CNRS, INSERM, Physiopathologie et Génétique du Neurone et du Muscle, UMR5261, U1315, Institut NeuroMyoGène, 69008, Lyon, France
| | - Audrey Putoux
- Genetics Department, Reference Center for Developmental Disorders, HCL, Bron, France
- INSERM U1028, CNRS UMR5292, CRNL, GENDEV Team, University of Claude Bernard Lyon 1, Bron, France
| | - Linda Pons
- Genetics Department, Reference Center for Developmental Disorders, HCL, Bron, France
| | - Amandine Cadenes
- Genetics Department, Reference Center for Developmental Disorders, HCL, Bron, France
| | - Amandine Baurand
- Genetics Department, Reference Center for Developmental Disorders, University Hospital, Dijon, France
| | - Caroline Sawka
- Genetics Department, Reference Center for Developmental Disorders, University Hospital, Dijon, France
| | - Geoffrey Bertolone
- Genetics Department, Reference Center for Developmental Disorders, University Hospital, Dijon, France
| | - Myrtille Spetchian
- Genetics Department, Reference Center for Developmental Disorders, GH APHP, Paris, France
| | - Meriem Yousfi
- Genetics Department, Reference Center for Developmental Disorders, University Hospital, Dijon, France
| | - Dominique Salvi
- Laboratory of economy (LEDi), University of Burgundy, Dijon, France
| | - Elodie Gautier
- Genetics Department, Reference Center for Developmental Disorders, University Hospital, Dijon, France
| | - Antonio Vitobello
- FHU TRANSLAD, GAD INSERM UMR 1231, University of Burgundy, Dijon, France
| | | | - Ange-Line Bruel
- FHU TRANSLAD, GAD INSERM UMR 1231, University of Burgundy, Dijon, France
| | | | - Anne Faudet
- Genetics Department, Reference Center for Developmental Disorders, GH APHP, Paris, France
| | - Boris Keren
- Genetics Department, Reference Center for Developmental Disorders, GH APHP, Paris, France
| | - Audrey Labalme
- Genetics Department, Reference Center for Developmental Disorders, HCL, Bron, France
| | - Nicolas Chatron
- Genetics Department, Reference Center for Developmental Disorders, HCL, Bron, France
- Univ Lyon, Univ Lyon 1, CNRS, INSERM, Physiopathologie et Génétique du Neurone et du Muscle, UMR5261, U1315, Institut NeuroMyoGène, 69008, Lyon, France
| | - Carine Abel
- Genetics Department, Reference Center for Developmental Disorders, HCL, Bron, France
| | - Sophie Dupuis-Girod
- Genetics Department, Reference Center for Developmental Disorders, HCL, Bron, France
| | - Alice Poisson
- Reference Center for Rare Disorders with psychiatric expression C.H. Le Vinatier, Bron, France
- Equipe de recherche AESIO santé, unité de Sant Etienne, Clinique médico chirurgicale mutualiste, Saint Etienne, France
| | - Julien Buratti
- Genetics Department, Reference Center for Developmental Disorders, GH APHP, Paris, France
| | - Cyril Mignot
- Genetics Department, Reference Center for Developmental Disorders, GH APHP, Paris, France
| | - Alexandra Afenjar
- Genetics Department, Reference Center for Developmental Disorders, GH APHP, Paris, France
| | - Sandra Whalen
- Genetics Department, Reference Center for Developmental Disorders, GH APHP, Paris, France
| | - Perrine Charles
- Genetics Department, Reference Center for Developmental Disorders, GH APHP, Paris, France
| | - Solveig Heide
- Genetics Department, Reference Center for Developmental Disorders, GH APHP, Paris, France
| | - Linda Mouthon
- Genetics Department, Reference Center for Developmental Disorders, GH APHP, Paris, France
| | - Sébastien Moutton
- Genetics Department, Reference Center for Developmental Disorders, University Hospital, Dijon, France
| | - Arthur Sorlin
- Genetics Department, Reference Center for Developmental Disorders, University Hospital, Dijon, France
| | - Sophie Nambot
- Genetics Department, Reference Center for Developmental Disorders, University Hospital, Dijon, France
| | - Anne-Sophie Briffaut
- FHU TRANSLAD, GAD INSERM UMR 1231, University of Burgundy, Dijon, France
- CHU Dijon Bourgogne, INSERM, Université de Bourgogne, CIC 1432, Module Épidémiologie Clinique, Dijon, France
| | - Marie-Laure Asensio
- CHU Dijon Bourgogne, INSERM, Université de Bourgogne, CIC 1432, Module Épidémiologie Clinique, Dijon, France
| | | | - Christel Thauvin-Robinet
- FHU TRANSLAD, GAD INSERM UMR 1231, University of Burgundy, Dijon, France
- Genetics Department, Reference Center for Intellectual Disabilities, University Hospital, Dijon, France
| | - Delphine Héron
- Genetics Department, Reference Center for Developmental Disorders, GH APHP, Paris, France
| | - Massimiliano Rossi
- Genetics Department, Reference Center for Developmental Disorders, HCL, Bron, France
- INSERM U1028, CNRS UMR5292, CRNL, GENDEV Team, University of Claude Bernard Lyon 1, Bron, France
| | - Nicolas Meunier-Bellard
- FHU TRANSLAD, GAD INSERM UMR 1231, University of Burgundy, Dijon, France
- CHU Dijon Bourgogne, INSERM, Université de Bourgogne, CIC 1432, Module Épidémiologie Clinique, Dijon, France
| | - Marcela Gargiulo
- Clinical Psychology Lab., Psychopathology, Psychoanalysis (EA4056, ED 261), University of Paris, Sorbonne Paris City, Paris, France
- Institute of myology, GH APHP, Paris, France
| | - Christine Peyron
- FHU TRANSLAD, GAD INSERM UMR 1231, University of Burgundy, Dijon, France
- Laboratory of economy (LEDi), University of Burgundy, Dijon, France
| | - Christine Binquet
- FHU TRANSLAD, GAD INSERM UMR 1231, University of Burgundy, Dijon, France
- CHU Dijon Bourgogne, INSERM, Université de Bourgogne, CIC 1432, Module Épidémiologie Clinique, Dijon, France
| | - Laurence Faivre
- FHU TRANSLAD, GAD INSERM UMR 1231, University of Burgundy, Dijon, France.
- Genetics Department, Reference Center for Developmental Disorders, University Hospital, Dijon, France.
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Martyn M, Lee L, Jan A, Lynch E, Weerasuriya R, Kanga-Parabia A, Gaff C. Evaluation of a two-step model of opportunistic genomic screening. Eur J Hum Genet 2024; 32:656-664. [PMID: 38528054 PMCID: PMC11153562 DOI: 10.1038/s41431-024-01592-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 03/07/2024] [Accepted: 03/11/2024] [Indexed: 03/27/2024] Open
Abstract
Increasing use of diagnostic genomic sequencing is pushing health services to confront the issue of opportunistic genomic screening (OGS). To date, OGS has been offered concomitant with diagnostic testing. In contrast, we piloted a service offering OGS after return of diagnostic testing results. Evaluation was designed to provide insights for future models of service and included patient surveys at three time points, semi-structured interviews with genetic counsellors (GCs) and a focus group with medical scientists. Uptake was relatively low: 83 of 200 patients approached (42%) attended the OGS service, with 81 accepting OGS. Whilst many who declined to attend the service cited practical barriers, others gave reasons that indicated this was a considered decision. Despite specific genetic counselling, one third of patients did not understand the scope of re-analysis. Yet after post-test counselling, all respondents with novel pathogenic additional findings (AF) understood the implications and reported relevant follow-up. Recall was high: five months after last contact, 75% recalled being offered OGS without prompting. GC interviews and patient survey responses provide insights into complexities that influence patient support needs, including diagnostic status and AF result type. There was no consensus among patients or professionals about when to offer OGS. There was a clear preference for multiple, flexible methods of information provision; achieving this whilst balancing patient support needs and resource requirements is a challenge requiring further investigation. Decisions about whether, when and how to offer OGS are complex; our study shows the two-step approach warrants further exploration.
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Affiliation(s)
- Melissa Martyn
- Melbourne Genomics Health Alliance, Parkville, VIC, 3052, Australia.
- Department of Paediatrics, University of Melbourne, Parkville, VIC, 3052, Australia.
- Murdoch Children's Research Institute, The Royal Children's Hospital, 50 Flemington Road, Parkville, VIC, 3052, Australia.
| | - Ling Lee
- Melbourne Genomics Health Alliance, Parkville, VIC, 3052, Australia
- Department of Paediatrics, University of Melbourne, Parkville, VIC, 3052, Australia
- Murdoch Children's Research Institute, The Royal Children's Hospital, 50 Flemington Road, Parkville, VIC, 3052, Australia
| | - Alli Jan
- Murdoch Children's Research Institute, The Royal Children's Hospital, 50 Flemington Road, Parkville, VIC, 3052, Australia
- Central Coast Local Health District, NSW Health, Gosford, NSW, 2250, Australia
| | - Elly Lynch
- Murdoch Children's Research Institute, The Royal Children's Hospital, 50 Flemington Road, Parkville, VIC, 3052, Australia
- Victorian Clinical Genetics Services, The Royal Children's Hospital, 50 Flemington Road, Parkville, VIC, 3052, Australia
| | - Rona Weerasuriya
- Murdoch Children's Research Institute, The Royal Children's Hospital, 50 Flemington Road, Parkville, VIC, 3052, Australia
- Australian Red Cross, 23-47 Villiers Street, North Melbourne, VIC, 3051, Australia
| | - Anaita Kanga-Parabia
- Department of Paediatrics, University of Melbourne, Parkville, VIC, 3052, Australia
- Murdoch Children's Research Institute, The Royal Children's Hospital, 50 Flemington Road, Parkville, VIC, 3052, Australia
| | - Clara Gaff
- Melbourne Genomics Health Alliance, Parkville, VIC, 3052, Australia
- Department of Paediatrics, University of Melbourne, Parkville, VIC, 3052, Australia
- Murdoch Children's Research Institute, The Royal Children's Hospital, 50 Flemington Road, Parkville, VIC, 3052, Australia
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Brown CM, Amendola LM, Chandrasekhar A, Hagelstrom RT, Halter G, Kesari A, Thorpe E, Perry DL, Taft RJ, Coffey AJ. A framework for the evaluation and reporting of incidental findings in clinical genomic testing. Eur J Hum Genet 2024; 32:665-672. [PMID: 38565640 PMCID: PMC11153510 DOI: 10.1038/s41431-024-01575-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 12/29/2023] [Accepted: 02/20/2024] [Indexed: 04/04/2024] Open
Abstract
Currently, there are no widely accepted recommendations in the genomics field guiding the return of incidental findings (IFs), defined here as unexpected results that are unrelated to the indication for testing. Consequently, reporting policies for IFs among laboratories offering genomic testing are variable and may lack transparency. Herein we describe a framework developed to guide the evaluation and return of IFs encountered in probands undergoing clinical genome sequencing (cGS). The framework prioritizes clinical significance and actionability of IFs and follows a stepwise approach with stopping points at which IFs may be recommended for return or not. Over 18 months, implementation of the framework in a clinical laboratory facilitated the return of actionable IFs in 37 of 720 (5.1%) individuals referred for cGS, which is reduced to 3.1% if glucose-6-phosphate dehydrogenase (G6PD) deficiency is excluded. This framework can serve as a model to standardize reporting of IFs identified during genomic testing.
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Affiliation(s)
- Carolyn M Brown
- Medical Genomics Research, Illumina, Inc., San Diego, CA, 92122, USA.
| | - Laura M Amendola
- Medical Genomics Research, Illumina, Inc., San Diego, CA, 92122, USA
| | | | | | - Gillian Halter
- Scripps MD Anderson Cancer Center, San Diego, CA, 92121, USA
| | - Akanchha Kesari
- Medical Genomics Research, Illumina, Inc., San Diego, CA, 92122, USA
| | - Erin Thorpe
- Medical Genomics Research, Illumina, Inc., San Diego, CA, 92122, USA
| | - Denise L Perry
- Medical Genomics Research, Illumina, Inc., San Diego, CA, 92122, USA
| | - Ryan J Taft
- Medical Genomics Research, Illumina, Inc., San Diego, CA, 92122, USA
| | - Alison J Coffey
- Medical Genomics Research, Illumina, Inc., San Diego, CA, 92122, USA.
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Kernohan KD, Boycott KM. The expanding diagnostic toolbox for rare genetic diseases. Nat Rev Genet 2024; 25:401-415. [PMID: 38238519 DOI: 10.1038/s41576-023-00683-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/22/2023] [Indexed: 05/23/2024]
Abstract
Genomic technologies, such as targeted, exome and short-read genome sequencing approaches, have revolutionized the care of patients with rare genetic diseases. However, more than half of patients remain without a diagnosis. Emerging approaches from research-based settings such as long-read genome sequencing and optical genome mapping hold promise for improving the identification of disease-causal genetic variants. In addition, new omic technologies that measure the transcriptome, epigenome, proteome or metabolome are showing great potential for variant interpretation. As genetic testing options rapidly expand, the clinical community needs to be mindful of their individual strengths and limitations, as well as remaining challenges, to select the appropriate diagnostic test, correctly interpret results and drive innovation to address insufficiencies. If used effectively - through truly integrative multi-omics approaches and data sharing - the resulting large quantities of data from these established and emerging technologies will greatly improve the interpretative power of genetic and genomic diagnostics for rare diseases.
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Affiliation(s)
- Kristin D Kernohan
- CHEO Research Institute, University of Ottawa, Ottawa, ON, Canada
- Newborn Screening Ontario, CHEO, Ottawa, ON, Canada
| | - Kym M Boycott
- CHEO Research Institute, University of Ottawa, Ottawa, ON, Canada.
- Department of Genetics, CHEO, Ottawa, ON, Canada.
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Panchal S, Mahajan R, Aujla N, McKay P, Casalino S, Di Gioacchino V, Charames GS, Lefebvre M, Metcalfe KA, Akbari MR, McCuaig JM, Lerner-Ellis J. Recontact to return new or updated PALB2 genetic results in the clinical laboratory setting. J Med Genet 2024; 61:477-482. [PMID: 38124008 DOI: 10.1136/jmg-2023-109652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Accepted: 12/02/2023] [Indexed: 12/23/2023]
Abstract
OBJECTIVE The purpose of this study was to recontact individuals with clinically actionable test results identified through a retrospective research study and to provide a framework for laboratories to recontact patients. METHODS Genetic testing was conducted on 2977 individuals originally referred for BRCA1 and BRCA2 hereditary breast and ovarian cancer testing that had a negative genetic test result. A gene panel was used to identify pathogenic variants in known or newly discovered genes that could explain the underlying cause of disease; however, analysis was restricted to PALB2 for the purposes of this study. A patient recontact decision tree was developed to assist in the returning of updated genetic test results to clinics and patients. RESULTS Novel clinically actionable pathogenic variants were identified in the PALB2 gene in 18 participants (0.6%), the majority of whom were recontacted with their new or updated genetic test results. Eight individuals were unable to be recontacted; five individuals had already learnt about their new or updated findings from genetic testing outside the context of this study; three individuals prompted cascade testing in family members; two individuals were deceased. CONCLUSION Novel pathogenic variants in PALB2 were identified in 18 individuals through retrospective gene panel testing. Recontacting these individuals regarding these new or updated findings had a range of outcomes. The process of conveying genomic results within this framework can be effectively accomplished while upholding patient autonomy, potentially leading to advantageous outcomes for patients and their families.
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Affiliation(s)
- Seema Panchal
- University of Toronto, Toronto, Ontario, Canada
- Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Radhika Mahajan
- Mount Sinai Hospital, Toronto, Ontario, Canada
- Lunenfeld-Tanenbaum Research Institute, Toronto, Ontario, Canada
| | - Navneet Aujla
- Mount Sinai Hospital, Toronto, Ontario, Canada
- Lunenfeld-Tanenbaum Research Institute, Toronto, Ontario, Canada
| | - Paul McKay
- University of Toronto, Toronto, Ontario, Canada
- Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Selina Casalino
- Mount Sinai Hospital, Toronto, Ontario, Canada
- Lunenfeld-Tanenbaum Research Institute, Toronto, Ontario, Canada
| | - Vanessa Di Gioacchino
- University of Toronto, Toronto, Ontario, Canada
- Mount Sinai Hospital, Toronto, Ontario, Canada
| | - George S Charames
- University of Toronto, Toronto, Ontario, Canada
- Mount Sinai Hospital, Toronto, Ontario, Canada
- Lunenfeld-Tanenbaum Research Institute, Toronto, Ontario, Canada
| | - Maude Lefebvre
- Centre Hospitalier de l'Université de Montréal, Montreal, Quebec, Canada
| | - Kelly A Metcalfe
- Lawrence S Bloomberg Faculty of Nursing, University of Toronto, Toronto, Ontario, Canada
- Women's College Research Institute, Toronto, Ontario, Canada
| | | | - Jeanna Marie McCuaig
- University of Toronto, Toronto, Ontario, Canada
- Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | - Jordan Lerner-Ellis
- University of Toronto, Toronto, Ontario, Canada
- Mount Sinai Hospital, Toronto, Ontario, Canada
- Lunenfeld-Tanenbaum Research Institute, Toronto, Ontario, Canada
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Sloper E, Jezkova J, Thomas J, Dawson K, Halstead J, Gardner J, Burke K, Oruganti S, Calvert J, Evans J, Anderson S, Corrin S, Pottinger C, Murch O. Wales Infants' and childreN's Genome Service (WINGS): providing rapid genetic diagnoses for unwell children. Arch Dis Child 2024; 109:409-413. [PMID: 38320813 DOI: 10.1136/archdischild-2023-326579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 01/24/2024] [Indexed: 04/20/2024]
Abstract
INTRODUCTION This study reviews the first 3 years of delivery of the first National Health Service (NHS)-commissioned trio rapid whole genome sequencing (rWGS) service for acutely unwell infants and children in Wales. METHODS Demographic and phenotypic data were prospectively collected as patients and their families were enrolled in the Wales Infants' and childreN's Genome Service (WINGS). These data were reviewed alongside trio rWGS results. RESULTS From April 2020 to March 2023, 82 families underwent WINGS, with a diagnostic yield of 34.1%. The highest diagnostic yields were noted in skeletal dysplasias, neurological or metabolic phenotypes. Mean time to reporting was 9 days. CONCLUSION This study demonstrates that trio rWGS is having a positive impact on the care of acutely unwell infants and children in an NHS setting. In particular, the study shows that rWGS can be applied in an NHS setting, achieving a diagnostic yield comparable with the previously published diagnostic yields achieved in research settings, while also helping to improve patient care and management.
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Affiliation(s)
- Emily Sloper
- All Wales Medical Genomics Service, University Hospital of Wales Healthcare NHS Trust, Cardiff, UK
| | - Jana Jezkova
- All Wales Medical Genomics Service, University Hospital of Wales Healthcare NHS Trust, Cardiff, UK
| | - Joanne Thomas
- Faculty of Life Science and Education, University of South Wales, Pontypridd, UK
| | | | - Joseph Halstead
- All Wales Medical Genomics Service, University Hospital of Wales Healthcare NHS Trust, Cardiff, UK
| | - Jennifer Gardner
- All Wales Medical Genomics Service, University Hospital of Wales Healthcare NHS Trust, Cardiff, UK
| | - Katherine Burke
- Neonatal Intensive Care Unit, Singleton Hospital, Swansea, UK
| | - Sivakumar Oruganti
- Paediatric Critical Care Unit, Noah's Ark Children's Hospital for Wales, Cardiff, UK
- College of Biomedical and Life Sciences, Cardiff University, Cardiff, UK
| | - Jennifer Calvert
- Neonatal Intensive Care Unit, University Hospital of Wales Healthcare NHS Trust, Cardiff, UK
| | - Jennifer Evans
- Child Health, Children's Hospital for Wales, Cardiff, UK
| | - Sarah Anderson
- All Wales Medical Genomics Service, University Hospital of Wales Healthcare NHS Trust, Cardiff, UK
| | - Sian Corrin
- All Wales Medical Genomics Service, University Hospital of Wales Healthcare NHS Trust, Cardiff, UK
| | - Caroline Pottinger
- All Wales Medical Genomics Service, University Hospital of Wales Healthcare NHS Trust, Cardiff, UK
| | - Oliver Murch
- All Wales Medical Genomics Service, University Hospital of Wales Healthcare NHS Trust, Cardiff, UK
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8
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Regier DA, Loewen R, Chan B, Ehman M, Pollard S, Friedman JM, Stockler-Ipsiroglu S, van Karnebeek C, Race S, Elliott AM, Dragojlovic N, Lynd LD, Weymann D. Real-world diagnostic outcomes and cost-effectiveness of genome-wide sequencing for developmental and seizure disorders: Evidence from Canada. Genet Med 2024; 26:101069. [PMID: 38205742 DOI: 10.1016/j.gim.2024.101069] [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: 07/21/2023] [Revised: 01/03/2024] [Accepted: 01/04/2024] [Indexed: 01/12/2024] Open
Abstract
PURPOSE To determine real-world diagnostic rates, cost trajectories, and cost-effectiveness of exome sequencing (ES) and genome sequencing (GS) for children with developmental and/or seizure disorders in British Columbia, Canada. METHODS Based on medical records review, we estimated real-world costs and outcomes for 491 patients who underwent standard of care (SOC) diagnostic testing at British Columbia Children's Hospital. Results informed a state-transition Markov model examining cost-effectiveness of 3 competing diagnostic strategies: (1) SOC with last-tier access to ES, (2) streamlined ES access, and (3) first-tier GS. RESULTS Through SOC, 49.4% (95% CI: 40.6, 58.2) of patients were diagnosed at an average cost of C$11,683 per patient (95% CI: 9200, 14,166). Compared with SOC, earlier ES or GS access yielded similar or improved diagnostic rates and shorter times to genetic diagnosis, with 94% of simulations demonstrating cost savings for streamlined ES and 60% for first-tier GS. Net benefit from the perspective of the health care system was C$2956 (95% CI: -608, 6519) for streamlined ES compared with SOC. CONCLUSION Using real-world data, we found earlier access to ES may yield more rapid genetic diagnosis of childhood developmental and seizure disorders and cost savings compared with current practice in a Canadian health care system.
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Affiliation(s)
- Dean A Regier
- School of Population and Public Health, Faculty of Medicine, University of British Columbia, Vancouver, Canada; Cancer Control Research, BC Cancer Research Institute, Vancouver, Canada
| | - Rosalie Loewen
- Cancer Control Research, BC Cancer Research Institute, Vancouver, Canada
| | - Brandon Chan
- Cancer Control Research, BC Cancer Research Institute, Vancouver, Canada
| | - Morgan Ehman
- Cancer Control Research, BC Cancer Research Institute, Vancouver, Canada
| | - Samantha Pollard
- Cancer Control Research, BC Cancer Research Institute, Vancouver, Canada
| | - Jan M Friedman
- Department of Medical Genetics, University of British Columbia, Vancouver, Canada; BC Children's Hospital Research Institute, Vancouver, Canada
| | - Sylvia Stockler-Ipsiroglu
- BC Children's Hospital Research Institute, Vancouver, Canada; Department of Pediatrics, Faculty of Medicine, University of British Columbia, Vancouver, Canada; Division of Biochemical Genetics, BC Children's Hospital, Vancouver, Canada
| | - Clara van Karnebeek
- Department of Pediatrics, Faculty of Medicine, University of British Columbia, Vancouver, Canada; Departments of Pediatrics and Human Genetics, Emma Center for Personalized Medicine, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Simone Race
- Division of Biochemical Genetics, BC Children's Hospital, Vancouver, Canada
| | - Alison M Elliott
- Department of Medical Genetics, University of British Columbia, Vancouver, Canada; BC Children's Hospital Research Institute, Vancouver, Canada
| | - Nick Dragojlovic
- Collaboration for Outcomes Research and Evaluation, Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, Canada
| | - Larry D Lynd
- Collaboration for Outcomes Research and Evaluation, Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, Canada; Centre for Health Evaluation and Outcomes Sciences, Providence Health Research Institute, Vancouver, Canada
| | - Deirdre Weymann
- Cancer Control Research, BC Cancer Research Institute, Vancouver, Canada.
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9
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Azuelos C, Marquis MA, Laberge AM. A systematic review of the assessment of the clinical utility of genomic sequencing: Implications of the lack of standard definitions and measures of clinical utility. Eur J Med Genet 2024; 68:104925. [PMID: 38432472 DOI: 10.1016/j.ejmg.2024.104925] [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: 09/21/2023] [Revised: 12/31/2023] [Accepted: 02/11/2024] [Indexed: 03/05/2024]
Abstract
PURPOSE Exome sequencing (ES) and genome sequencing (GS) are diagnostic tests for rare genetic diseases. Studies report clinical utility of ES/GS. The goal of this systematic review is to establish how clinical utility is defined and measured in studies evaluating the impacts of ES/GS results for pediatric patients. METHODS Relevant articles were identified in PubMed, Medline, Embase, and Web of Science. Eligible studies assessed clinical utility of ES/GS for pediatric patients published before 2021. Other relevant articles were added based on articles' references. Articles were coded to assess definitions and measures of clinical utility. RESULTS Of 1346 articles, 83 articles met eligibility criteria. Clinical utility was not clearly defined in 19% of studies and 92% did not use an explicit measure of clinical utility. When present, definitions of clinical utility diverged from recommended definitions and varied greatly, from narrow (diagnostic yield of ES/GS) to broad (including decisions about withdrawal of care/palliative care and/or impacts on other family members). CONCLUSION Clinical utility is used to guide policy and practice decisions about test use. The lack of a standard definition of clinical utility of ES/GS may lead to under- or overestimations of clinical utility, complicating policymaking and raising ethical issues.
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Affiliation(s)
- Claudia Azuelos
- Medical Genetics, Dept of Pediatrics, CHU Sainte-Justine and Université de Montréal, Canada.
| | - Marc-Antoine Marquis
- Palliative Care, Dept of Pediatrics, CHU Sainte-Justine and Université de Montréal, Canada
| | - Anne-Marie Laberge
- Medical Genetics, Dept of Pediatrics, CHU Sainte-Justine and Université de Montréal, Canada.
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10
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Nolan J, Buchanan J, Taylor J, Almeida J, Bedenham T, Blair E, Broadgate S, Butler S, Cazeaux A, Craft J, Cranston T, Crawford G, Forrest J, Gabriel J, George E, Gillen D, Haeger A, Hastings Ward J, Hawkes L, Hodgkiss C, Hoffman J, Jones A, Karpe F, Kasperaviciute D, Kovacs E, Leigh S, Limb E, Lloyd-Jani A, Lopez J, Lucassen A, McFarlane C, O'Rourke AW, Pond E, Sherman C, Stewart H, Thomas E, Thomas S, Thomas T, Thomson K, Wakelin H, Walker S, Watson M, Williams E, Ormondroyd E. Secondary (additional) findings from the 100,000 Genomes Project: Disease manifestation, health care outcomes, and costs of disclosure. Genet Med 2024; 26:101051. [PMID: 38131308 DOI: 10.1016/j.gim.2023.101051] [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: 07/13/2023] [Revised: 12/15/2023] [Accepted: 12/15/2023] [Indexed: 12/23/2023] Open
Abstract
PURPOSE The UK 100,000 Genomes Project offered participants screening for additional findings (AFs) in genes associated with familial hypercholesterolemia (FH) or hereditary cancer syndromes including breast/ovarian cancer (HBOC), Lynch, familial adenomatous polyposis, MYH-associated polyposis, multiple endocrine neoplasia (MEN), and von Hippel-Lindau. Here, we report disclosure processes, manifestation of AF-related disease, outcomes, and costs. METHODS An observational study in an area representing one-fifth of England. RESULTS Data were collected from 89 adult AF recipients. At disclosure, among 57 recipients of a cancer-predisposition-associated AF and 32 recipients of an FH-associated AF, 35% and 88%, respectively, had personal and/or family history evidence of AF-related disease. During post-disclosure investigations, 4 cancer-AF recipients had evidence of disease, including 1 medullary thyroid cancer. Six women with an HBOC AF, 3 women with a Lynch syndrome AF, and 2 individuals with a MEN AF elected for risk-reducing surgery. New hyperlipidemia diagnoses were made in 6 FH-AF recipients and treatment (re-)initiated for 7 with prior hyperlipidemia. Generating and disclosing AFs in this region cost £1.4m; £8680 per clinically significant AF. CONCLUSION Generation and disclosure of AFs identifies individuals with and without personal or familial evidence of disease and prompts appropriate clinical interventions. Results can inform policy toward secondary findings.
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Affiliation(s)
- Joshua Nolan
- Radcliffe Department of Medicine, University of Oxford, United Kingdom
| | - James Buchanan
- Health Economics Research Centre, University of Oxford, United Kingdom
| | - John Taylor
- Oxford Genetic Laboratories, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Joao Almeida
- Genomics England, United Kingdom Department of Health and Social Care, United Kingdom
| | - Tina Bedenham
- Oxford Genetic Laboratories, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Edward Blair
- Oxford Centre for Genomic Medicine, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Suzanne Broadgate
- Oxford Genetic Laboratories, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Samantha Butler
- Birmingham Women's and Children's Hospitals NHS Foundation Trust, Birmingham, United Kingdom
| | - Angela Cazeaux
- University Hospitals Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Judith Craft
- Oxford Genetic Laboratories, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Treena Cranston
- Oxford Genetic Laboratories, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Gillian Crawford
- University Hospitals Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Jamie Forrest
- Oxford Centre for Genomic Medicine, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom; University of Manchester, Manchester, United Kingdom
| | - Jessica Gabriel
- Oxford Genetic Laboratories, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Elaine George
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom
| | - Donna Gillen
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom
| | - Ash Haeger
- Oxford Genetic Laboratories, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | | | - Lara Hawkes
- Oxford Centre for Genomic Medicine, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Claire Hodgkiss
- Oxford Genetic Laboratories, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Jonathan Hoffman
- Birmingham Women's and Children's Hospitals NHS Foundation Trust, Birmingham, United Kingdom
| | - Alan Jones
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom
| | - Fredrik Karpe
- Radcliffe Department of Medicine, University of Oxford, United Kingdom; NIHR Oxford Biomedical Research Centre, Oxford, United Kingdom
| | - Dalia Kasperaviciute
- Genomics England, United Kingdom Department of Health and Social Care, United Kingdom
| | - Erika Kovacs
- University Hospitals Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Sarah Leigh
- Genomics England, United Kingdom Department of Health and Social Care, United Kingdom
| | - Elizabeth Limb
- Population Health Research Institute, St George's University of London, London, United Kingdom
| | - Anjali Lloyd-Jani
- Oxford Genetic Laboratories, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Javier Lopez
- Genomics England, United Kingdom Department of Health and Social Care, United Kingdom
| | - Anneke Lucassen
- Oxford Centre for Genomic Medicine, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom; Centre for Personalised Medicine, Nuffield Department of Medicine, University of Oxford, United Kingdom
| | - Carlos McFarlane
- Birmingham Women's and Children's Hospitals NHS Foundation Trust, Birmingham, United Kingdom
| | - Anthony W O'Rourke
- Oxford Genetic Laboratories, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Emily Pond
- University Hospitals Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Catherine Sherman
- University Hospitals Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Helen Stewart
- Oxford Centre for Genomic Medicine, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Ellen Thomas
- Genomics England, United Kingdom Department of Health and Social Care, United Kingdom
| | - Simon Thomas
- University Hospitals Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Tessy Thomas
- University Hospitals Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Kate Thomson
- Oxford Genetic Laboratories, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Hannah Wakelin
- Oxford Centre for Genomic Medicine, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Susan Walker
- Genomics England, United Kingdom Department of Health and Social Care, United Kingdom
| | - Melanie Watson
- University Hospitals Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Eleanor Williams
- Genomics England, United Kingdom Department of Health and Social Care, United Kingdom
| | - Elizabeth Ormondroyd
- Radcliffe Department of Medicine, University of Oxford, United Kingdom; NIHR Oxford Biomedical Research Centre, Oxford, United Kingdom.
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11
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Friedman JM, Bombard Y, Carleton B, Issa AM, Knoppers B, Plon SE, Rahimzadeh V, Relling MV, Williams MS, van Karnebeek C, Vears D, Cornel MC. Should secondary pharmacogenomic variants be actively screened and reported when diagnostic genome-wide sequencing is performed in a child? Genet Med 2024; 26:101033. [PMID: 38007624 DOI: 10.1016/j.gim.2023.101033] [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: 04/24/2023] [Revised: 11/14/2023] [Accepted: 11/19/2023] [Indexed: 11/27/2023] Open
Abstract
This white paper was prepared by the Global Alliance for Genomics and Health Regulatory and Ethics Work Stream's Pediatric Task Team to review and provide perspective with respect to ethical, legal, and social issues regarding the return of secondary pharmacogenomic variants in children who have a serious disease or developmental disorder and are undergoing exome or genome sequencing to identify a genetic cause of their condition. We discuss actively searching for and reporting pharmacogenetic/genomic variants in pediatric patients, different methods of returning secondary pharmacogenomic findings to the patient/parents and/or treating clinicians, maintaining these data in the patient's health record over time, decision supports to assist using pharmacogenetic results in future treatment decisions, and sharing information in public databases to improve the clinical interpretation of pharmacogenetic variants identified in other children. We conclude by presenting a series of points to consider for clinicians and policymakers regarding whether, and under what circumstances, routine screening and return of pharmacogenomic variants unrelated to the indications for testing is appropriate in children who are undergoing genome-wide sequencing to assist in the diagnosis of a suspected genetic disease.
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Affiliation(s)
- Jan M Friedman
- Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada.
| | - Yvonne Bombard
- Genomics Health Services Research Program, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Bruce Carleton
- Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada; Division of Translational Therapeutics, Department of Pediatrics, University of British Columbia, Vancouver, British Columbia, Canada; Pharmaceutical Outcomes Programme, British Columbia Children's Hospital, Vancouver, British Columbia, Canada
| | - Amalia M Issa
- Personalized Precision Medicine & Targeted Therapeutics, Springfield, MA; Health Policy, University of the Sciences, Philadelphia, PA; Pharmaceutical Sciences, University of the Sciences, Philadelphia, PA; Family Medicine, McGill University, Montreal, Quebec, Canada
| | - Bartha Knoppers
- Centre of Genomics and Policy, Faculty of Medicine and Health Sciences, McGill University, Montreal, Quebec, Canada
| | - Sharon E Plon
- Department of Pediatrics, Texas Children's Cancer and Hematology Center, Baylor College of Medicine, Houston, TX; Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX
| | - Vasiliki Rahimzadeh
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX
| | - Mary V Relling
- Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, TN
| | | | - Clara van Karnebeek
- Emma Center for Personalized Medicine, Amsterdam UMC, Amsterdam, The Netherlands; Departments of Pediatrics and Human Genetics, Emma Children's Hospital, Amsterdam University Medical Centers, Amsterdam, The Netherlands; United for Metabolic Diseases, The Netherlands; Radboud Center for Mitochondrial and Metabolic Medicine, Department of Pediatrics, Amalia Children's Hospital, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Danya Vears
- University of Melbourne, Carlton, Melbourne, Australia; Biomedical Ethics Research Group, Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Martina C Cornel
- Department of Human Genetics and Amsterdam Public Health Research Institute, Amsterdam University Medical Centres, Amsterdam, The Netherlands
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12
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Hartley T, Marshall D, Acker M, Fooks K, Gillespie MK, Price EM, Graham ID, White-Brown A, MacKay L, Macdonald SK, Brady L, Hui AY, Andrews JD, Chowdhury A, Wall E, Soubry É, Ediae GU, Rojas S, Assamad D, Dyment D, Tarnopolsky M, Sawyer SL, Chisholm C, Lemire G, Amburgey K, Lazier J, Mendoza-Londono R, Dowling JJ, Balci TB, Armour CM, Bhola PT, Costain G, Dupuis L, Carter M, Badalato L, Richer J, Boswell-Patterson C, Kannu P, Cordeiro D, Warman-Chardon J, Graham G, Siu VM, Cytrynbaum C, Rusnak A, Aul RB, Yoon G, Gonorazky H, McNiven V, Mercimek-Andrews S, Guerin A, Deshwar AR, Marwaha A, Weksberg R, Karp N, Campbell M, Al-Qattan S, Shuen AY, Inbar-Feigenberg M, Cohn R, Szuto A, Inglese C, Poirier M, Chad L, Potter B, Boycott KM, Hayeems R. Evaluation of the diagnostic accuracy of exome sequencing and its impact on diagnostic thinking for patients with rare disease in a publicly funded health care system: A prospective cohort study. Genet Med 2024; 26:101012. [PMID: 37924259 DOI: 10.1016/j.gim.2023.101012] [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: 04/21/2023] [Revised: 10/26/2023] [Accepted: 10/29/2023] [Indexed: 11/06/2023] Open
Abstract
PURPOSE To evaluate the diagnostic utility of publicly funded clinical exome sequencing (ES) for patients with suspected rare genetic diseases. METHODS We prospectively enrolled 297 probands who met eligibility criteria and received ES across 5 sites in Ontario, Canada, and extracted data from medical records and clinician surveys. Using the Fryback and Thornbury Efficacy Framework, we assessed diagnostic accuracy by examining laboratory interpretation of results and assessed diagnostic thinking by examining the clinical interpretation of results and whether clinical-molecular diagnoses would have been achieved via alternative hypothetical molecular tests. RESULTS Laboratories reported 105 molecular diagnoses and 165 uncertain results in known and novel genes. Of these, clinicians interpreted 102 of 105 (97%) molecular diagnoses and 6 of 165 (4%) uncertain results as clinical-molecular diagnoses. The 108 clinical-molecular diagnoses were in 104 families (35% diagnostic yield). Each eligibility criteria resulted in diagnostic yields of 30% to 40%, and higher yields were achieved when >2 eligibility criteria were met (up to 45%). Hypothetical tests would have identified 61% of clinical-molecular diagnoses. CONCLUSION We demonstrate robustness in eligibility criteria and high clinical validity of laboratory results from ES testing. The importance of ES was highlighted by the potential 40% of patients that would have gone undiagnosed without this test.
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Affiliation(s)
- Taila Hartley
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Canada; University of Ottawa, Ottawa, Canada.
| | | | | | - Katharine Fooks
- Hospital for Sick Children, Toronto, Canada; University of Toronto, Toronto, Canada
| | - Meredith K Gillespie
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Canada; Children's Hospital of Eastern Ontario, Ottawa, Canada
| | - E Magda Price
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Canada
| | - Ian D Graham
- University of Ottawa, Ottawa, Canada; Ottawa Hospital Research Institute, Ottawa, Canada
| | | | - Layla MacKay
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Canada
| | - Stella K Macdonald
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Canada
| | - Lauren Brady
- McMaster Children's Hospital, McMaster University, Hamilton, Canada
| | - Angela Y Hui
- Kingston Health Sciences Center, Queen's University, Kingston, Canada
| | - Joseph D Andrews
- London Health Sciences Centre, Western University, London, Canada
| | - Ashfia Chowdhury
- London Health Sciences Centre, Western University, London, Canada
| | - Erika Wall
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Canada
| | - Élisabeth Soubry
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Canada
| | - Grace U Ediae
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Canada
| | - Samantha Rojas
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Canada
| | | | - David Dyment
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Canada; University of Ottawa, Ottawa, Canada; Children's Hospital of Eastern Ontario, Ottawa, Canada
| | - Mark Tarnopolsky
- McMaster Children's Hospital, McMaster University, Hamilton, Canada
| | - Sarah L Sawyer
- University of Ottawa, Ottawa, Canada; Children's Hospital of Eastern Ontario, Ottawa, Canada
| | | | - Gabrielle Lemire
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Canada; University of Ottawa, Ottawa, Canada
| | - Kimberly Amburgey
- Hospital for Sick Children, Toronto, Canada; University of Toronto, Toronto, Canada
| | - Joanna Lazier
- University of Ottawa, Ottawa, Canada; Children's Hospital of Eastern Ontario, Ottawa, Canada
| | | | - James J Dowling
- Hospital for Sick Children, Toronto, Canada; University of Toronto, Toronto, Canada
| | - Tugce B Balci
- London Health Sciences Centre, Western University, London, Canada
| | - Christine M Armour
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Canada; University of Ottawa, Ottawa, Canada; Children's Hospital of Eastern Ontario, Ottawa, Canada
| | - Priya T Bhola
- University of Ottawa, Ottawa, Canada; Children's Hospital of Eastern Ontario, Ottawa, Canada
| | - Gregory Costain
- Hospital for Sick Children, Toronto, Canada; University of Toronto, Toronto, Canada
| | - Lucie Dupuis
- Hospital for Sick Children, Toronto, Canada; University of Toronto, Toronto, Canada
| | - Melissa Carter
- University of Ottawa, Ottawa, Canada; Children's Hospital of Eastern Ontario, Ottawa, Canada
| | - Lauren Badalato
- Kingston Health Sciences Center, Queen's University, Kingston, Canada
| | - Julie Richer
- University of Ottawa, Ottawa, Canada; Children's Hospital of Eastern Ontario, Ottawa, Canada
| | | | - Peter Kannu
- Hospital for Sick Children, Toronto, Canada; University of Toronto, Toronto, Canada; The Ottawa Hospital, Ottawa, Canada
| | | | - Jodi Warman-Chardon
- University of Ottawa, Ottawa, Canada; Children's Hospital of Eastern Ontario, Ottawa, Canada; Ottawa Hospital Research Institute, Ottawa, Canada; University of Alberta, Edmonton, Alberta, Canada
| | - Gail Graham
- University of Ottawa, Ottawa, Canada; Children's Hospital of Eastern Ontario, Ottawa, Canada
| | - Victoria Mok Siu
- London Health Sciences Centre, Western University, London, Canada
| | - Cheryl Cytrynbaum
- Hospital for Sick Children, Toronto, Canada; University of Toronto, Toronto, Canada
| | - Alison Rusnak
- University of Ottawa, Ottawa, Canada; Children's Hospital of Eastern Ontario, Ottawa, Canada; Kingston Health Sciences Center, Queen's University, Kingston, Canada
| | - Ritu B Aul
- Hospital for Sick Children, Toronto, Canada; University of Toronto, Toronto, Canada
| | - Grace Yoon
- Hospital for Sick Children, Toronto, Canada; University of Toronto, Toronto, Canada
| | - Hernan Gonorazky
- Hospital for Sick Children, Toronto, Canada; University of Toronto, Toronto, Canada
| | | | | | - Andrea Guerin
- Kingston Health Sciences Center, Queen's University, Kingston, Canada
| | - Ashish R Deshwar
- Hospital for Sick Children, Toronto, Canada; University of Toronto, Toronto, Canada
| | - Ashish Marwaha
- University of Calgary, Calgary, Canada; Hospital for Sick Children, Toronto, Canada; University of Toronto, Toronto, Canada; The Ottawa Hospital, Ottawa, Canada
| | - Rosanna Weksberg
- Hospital for Sick Children, Toronto, Canada; University of Toronto, Toronto, Canada
| | - Natalya Karp
- London Health Sciences Centre, Western University, London, Canada
| | - Maggie Campbell
- Kingston Health Sciences Center, Queen's University, Kingston, Canada
| | - Sarah Al-Qattan
- Hospital for Sick Children, Toronto, Canada; University of Toronto, Toronto, Canada
| | - Andrew Y Shuen
- University of Toronto, Toronto, Canada; McMaster Children's Hospital, McMaster University, Hamilton, Canada; London Health Sciences Centre, Western University, London, Canada
| | | | - Ronald Cohn
- Hospital for Sick Children, Toronto, Canada; University of Toronto, Toronto, Canada
| | - Anna Szuto
- Hospital for Sick Children, Toronto, Canada; University of Toronto, Toronto, Canada
| | - Cara Inglese
- Hospital for Sick Children, Toronto, Canada; University of Toronto, Toronto, Canada
| | | | - Lauren Chad
- Hospital for Sick Children, Toronto, Canada; University of Toronto, Toronto, Canada
| | - Beth Potter
- University of Ottawa, Ottawa, Canada; Ottawa Hospital Research Institute, Ottawa, Canada
| | - Kym M Boycott
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Canada; University of Ottawa, Ottawa, Canada; Children's Hospital of Eastern Ontario, Ottawa, Canada
| | - Robin Hayeems
- Hospital for Sick Children, Toronto, Canada; University of Toronto, Toronto, Canada.
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13
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Di Carlo C, Mighton C, Clausen M, Joshi E, Casalino S, Kim THM, Kowal C, Birken C, Maguire J, Bombard Y. Parents' attitudes towards research involving genome sequencing of their healthy children: a qualitative study. Eur J Hum Genet 2024; 32:171-175. [PMID: 37864046 PMCID: PMC10853502 DOI: 10.1038/s41431-023-01476-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2023] [Revised: 07/28/2023] [Accepted: 09/26/2023] [Indexed: 10/22/2023] Open
Abstract
With widespread genomic sequencing research efforts, there is increasing impetus to return results to participants. Parents of healthy children are increasingly asked to participate in genomic research, yet there are limited studies of parental expectations for the return of results amongst healthy children. We explored parental attitudes towards their healthy children's participation in genomic research and expectations for return of results. Data collection involved semi-structured telephone interviews with parents of healthy children participating in a primary care research network. Transcripts were analyzed thematically using constant comparison. A total of 26 parents were interviewed: 22 were female, 19 self-reported as White/European, and 20 were aged 30-39. Three themes emerged: (1) Reciprocity; Parents preferred to receive medically actionable, childhood-onset results and expected recontact overtime in exchange for their research participation. (2) Downstream impacts of testing; Parents expected future clinical benefits but were concerned about the risk of genetic discrimination. (3) Power and empowerment; Some parents felt empowered to take preventative action for their child and relatives, while others did not want to limit their child's autonomy. Considering these tensions may help to inform participant-centered approaches to optimize parental decision-making and participation, as well as maximize the utility of results.
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Affiliation(s)
- Christina Di Carlo
- Genomics Health Services Research Program, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
- University of Ottawa Faculty of Medicine, Ottawa, ON, Canada
| | - Chloe Mighton
- Genomics Health Services Research Program, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada
| | - Marc Clausen
- Genomics Health Services Research Program, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
| | - Esha Joshi
- Genomics Health Services Research Program, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
| | - Selina Casalino
- Genomics Health Services Research Program, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
| | - Theresa H M Kim
- Genomics Health Services Research Program, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
- The Hospital for Sick Children, Toronto, ON, Canada
| | | | - Catherine Birken
- The Hospital for Sick Children, Toronto, ON, Canada
- University of Toronto, Toronto, ON, Canada
| | - Jonathon Maguire
- Genomics Health Services Research Program, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada
- University of Toronto, Toronto, ON, Canada
| | - Yvonne Bombard
- Genomics Health Services Research Program, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada.
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14
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van der Schoot V, van der Meer E, Hillen MA, Yntema HG, Brunner HG, Oerlemans AJM. Exploring uncertainties regarding unsolicited findings in genetic testing. PATIENT EDUCATION AND COUNSELING 2024; 119:108064. [PMID: 37976670 DOI: 10.1016/j.pec.2023.108064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 10/16/2023] [Accepted: 11/08/2023] [Indexed: 11/19/2023]
Abstract
OBJECTIVES Non-normative uncertainty (uncertainty about empirical facts) and normative uncertainty (uncertainty about moral values or beliefs) regarding unsolicited findings (UFs) might play an important role in clinical genetics. Identifying normative uncertainty is of special interest since it might guide towards novel directions for counseling practice. This study aims to gain insight into the role of non-normative and normative uncertainty regarding UFs, as expressed by counselees and counselors. METHODS We performed a secondary qualitative analysis of interviews with counselees (n = 20) and counselors (n = 20) who had been confronted with UFs. Following a deductive approach, we used Han et al.'s existing theoretical framework of uncertainty, in which we additionally incorporated normative uncertainty. RESULTS Major issues of non-normative uncertainty were practical and personal for counselees, whilst counselors' uncertainty pertained mainly to scientific issues. Normative uncertainty was a major theme throughout the interviews. We encountered the moral conflicts of autonomy vs. beneficence and non-maleficence and of autonomy vs. truthfulness. CONCLUSION Non-normative uncertainty regarding UFs highlights the need to gain more insight in their penetrance and clinical utility. This study suggests moral conflicts are a major source of feelings of uncertainty in clinical genetics. PRACTICE IMPLICATIONS Exploring counselees' non-normative uncertainties and normative conflicts seems a prerequisite to optimize genetic counseling.
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Affiliation(s)
- Vyne van der Schoot
- Department of Clinical Genetics, Erasmus Medical Center, Rotterdam, the Netherlands.
| | - Eline van der Meer
- IQ healthcare, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Marij A Hillen
- Department of Medical Psychology, University of Amsterdam, Amsterdam, the Netherlands
| | - Helger G Yntema
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands; Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Han G Brunner
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands; Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands; Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, the Netherlands; GROW School for Development and Oncology, Maastricht University Maastricht, and the MHeNS School for Neuroscience, University of Maastricht, Maastricht, the Netherlands
| | - Anke J M Oerlemans
- IQ healthcare, Radboud University Medical Center, Nijmegen, the Netherlands
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15
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White S, Haas M, Laginha KJ, Laurendet K, Gaff C, Vears D, Newson AJ. What's in a name? Justifying terminology for genomic findings beyond the initial test indication: A scoping review. Genet Med 2023; 25:100936. [PMID: 37454281 DOI: 10.1016/j.gim.2023.100936] [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: 05/05/2023] [Revised: 07/07/2023] [Accepted: 07/09/2023] [Indexed: 07/18/2023] Open
Abstract
Genome sequencing can generate findings beyond the initial test indication that may be relevant to a patient or research participant's health. In the decade since the American College of Medical Genetics and Genomics published its recommendations for reporting these findings, consensus regarding terminology has remained elusive and a variety of terms are in use globally. We conducted a scoping review to explore terminology choice and the justifications underlying those choices. Documents were included if they contained a justification for their choice of term(s) related to findings beyond the initial genomic test indication. From 3571 unique documents, 52 were included, just over half of which pertained to the clinical context (n = 29, 56%). We identified four inter-related concepts used to defend or oppose terms: expectedness of the finding, effective communication, relatedness to the original test indication, and how genomic information was generated. A variety of justifications were used to oppose the term "incidental," whereas "secondary" had broader support as a term to describe findings deliberately sought. Terminology choice would benefit from further work to include the views of patients. We contend that clear definitions will improve ethical debate and support communication about genomic findings beyond the initial test indication.
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Affiliation(s)
- Stephanie White
- Sydney Health Ethics, Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, NSW, Australia; Australian Genomics, Parkville, VIC, Australia; Graduate School of Health, University of Technology Sydney, Sydney, NSW, Australia
| | - Matilda Haas
- Australian Genomics, Parkville, VIC, Australia; Murdoch Children's Research Institute, Parkville, VIC, Australia
| | - Kitty-Jean Laginha
- Sydney Health Ethics, Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, NSW, Australia; Australian Genomics, Parkville, VIC, Australia
| | - Kirsten Laurendet
- Sydney Health Ethics, Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, NSW, Australia; Australian Genomics, Parkville, VIC, Australia
| | - Clara Gaff
- Australian Genomics, Parkville, VIC, Australia; Murdoch Children's Research Institute, Parkville, VIC, Australia; Department of Paediatrics, University of Melbourne, Parkville, VIC, Australia; Melbourne Genomics Health Alliance, Parkville, VIC, Australia
| | - Danya Vears
- Australian Genomics, Parkville, VIC, Australia; Murdoch Children's Research Institute, Parkville, VIC, Australia
| | - Ainsley J Newson
- Sydney Health Ethics, Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, NSW, Australia; Australian Genomics, Parkville, VIC, Australia.
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16
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Hartley T, Gillespie MK, Graham ID, Hayeems RZ, Li S, Sampson M, Boycott KM, Potter BK. Exome and genome sequencing for rare genetic disease diagnosis: A scoping review and critical appraisal of clinical guidance documents produced by genetics professional organizations. Genet Med 2023; 25:100948. [PMID: 37551668 DOI: 10.1016/j.gim.2023.100948] [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: 03/30/2023] [Revised: 07/27/2023] [Accepted: 07/28/2023] [Indexed: 08/09/2023] Open
Abstract
PURPOSE Exome and genome sequencing have rapidly transitioned from research methods to widely used clinical tests for diagnosing rare genetic diseases. We sought to synthesize the topics covered and appraise the development processes of clinical guidance documents generated by genetics professional organizations. METHODS We conducted a scoping review of guidance documents published since 2010, systematically identified in peer-reviewed and gray literature, using established methods and reporting guidelines. We coded verbatim recommendations by topic using content analysis and critically appraised documents using the Appraisal of Guidelines Research and Evaluation (AGREE) II tool. RESULTS We identified 30 guidance documents produced by 8 organizations (2012-2022), yielding 611 recommendations covering 21 topics. The most common topic related to findings beyond the primary testing indication. Mean AGREE II scores were low across all 6 quality domains; scores for items related to rigor of development were among the lowest. More recently published documents generally received higher scores. CONCLUSION Guidance documents included a broad range of recommendations but were of low quality, particularly in their rigor of development. Developers should consider using tools such as AGREE II and basing recommendations on living knowledge syntheses to improve guidance development in this evolving space.
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Affiliation(s)
- Taila Hartley
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada; University of Ottawa, Ottawa, Ontario, Canada.
| | - Meredith K Gillespie
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
| | - Ian D Graham
- University of Ottawa, Ottawa, Ontario, Canada; The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Robin Z Hayeems
- Hospital for Sick Children, Toronto, Ontario, Canada; University of Toronto, Toronto, Ontario, Canada
| | - Sheena Li
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
| | - Margaret Sampson
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
| | - Kym M Boycott
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada; University of Ottawa, Ottawa, Ontario, Canada; Children's Hospital of Eastern Ontario, Ottawa, Ontario, Canada
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17
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Tesi B, Boileau C, Boycott KM, Canaud G, Caulfield M, Choukair D, Hill S, Spielmann M, Wedell A, Wirta V, Nordgren A, Lindstrand A. Precision medicine in rare diseases: What is next? J Intern Med 2023; 294:397-412. [PMID: 37211972 DOI: 10.1111/joim.13655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
Molecular diagnostics is a cornerstone of modern precision medicine, broadly understood as tailoring an individual's treatment, follow-up, and care based on molecular data. In rare diseases (RDs), molecular diagnoses reveal valuable information about the cause of symptoms, disease progression, familial risk, and in certain cases, unlock access to targeted therapies. Due to decreasing DNA sequencing costs, genome sequencing (GS) is emerging as the primary method for precision diagnostics in RDs. Several ongoing European initiatives for precision medicine have chosen GS as their method of choice. Recent research supports the role for GS as first-line genetic investigation in individuals with suspected RD, due to its improved diagnostic yield compared to other methods. Moreover, GS can detect a broad range of genetic aberrations including those in noncoding regions, producing comprehensive data that can be periodically reanalyzed for years to come when further evidence emerges. Indeed, targeted drug development and repurposing of medicines can be accelerated as more individuals with RDs receive a molecular diagnosis. Multidisciplinary teams in which clinical specialists collaborate with geneticists, genomics education of professionals and the public, and dialogue with patient advocacy groups are essential elements for the integration of precision medicine into clinical practice worldwide. It is also paramount that large research projects share genetic data and leverage novel technologies to fully diagnose individuals with RDs. In conclusion, GS increases diagnostic yields and is a crucial step toward precision medicine for RDs. Its clinical implementation will enable better patient management, unlock targeted therapies, and guide the development of innovative treatments.
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Affiliation(s)
- Bianca Tesi
- Department of Molecular Medicine and Surgery and Centre of Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
- Center for Hematology and Regenerative Medicine, Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden
| | - Catherine Boileau
- Département de Génétique, APHP, Hôpital Bichat-Claude Bernard, Université Paris Cité, Paris, France
| | - Kym M Boycott
- Children's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, Ontario, Canada
| | - Guillaume Canaud
- INSERM U1151, Unité de médecine translationnelle et thérapies ciblées, Hôpital Necker-Enfants Malades, Université Paris Cité, AP-HP, Paris, France
| | - Mark Caulfield
- William Harvey Research Institute, Queen Mary University of London, London, UK
| | - Daniela Choukair
- Division of Pediatric Endocrinology and Diabetes, Center for Pediatrics and Adolescent Medicine, University Hospital Heidelberg, Heidelberg, Germany and Center for Rare Diseases, University Hospital Heidelberg, Heidelberg, Germany
| | - Sue Hill
- Chief Scientific Officer, NHS England, London, UK
| | - Malte Spielmann
- Institute of Human Genetics, University Hospitals Schleswig-Holstein, University of Lübeck and Kiel University, Lübeck, Kiel, Germany
| | - Anna Wedell
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Centre for Inherited Metabolic Diseases, Karolinska University Hospital, Stockholm, Sweden
| | - Valtteri Wirta
- Science for Life Laboratory, Department of Microbiology, Tumour and Cell Biology, Karolinska Institutet, Stockholm, Sweden
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institutet of Technology, Stockholm, Sweden
| | - Ann Nordgren
- Department of Molecular Medicine and Surgery and Centre of Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
- Department of Laboratory Medicine, Institute of Biomedicine, University of Gothenburg, Gothenburg, Sweden
- Department of Clinical Genetics and Genomics, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Anna Lindstrand
- Department of Molecular Medicine and Surgery and Centre of Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
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18
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Diderich KEM, Klapwijk JE, van der Schoot V, van den Born M, Wilke M, Joosten M, Stuurman KE, Hoefsloot LH, Van Opstal D, Brüggenwirth HT, Srebniak MI. The role of a multidisciplinary team in managing variants of uncertain clinical significance in prenatal genetic diagnosis. Eur J Med Genet 2023; 66:104844. [PMID: 37709011 DOI: 10.1016/j.ejmg.2023.104844] [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: 04/24/2023] [Revised: 08/04/2023] [Accepted: 09/11/2023] [Indexed: 09/16/2023]
Abstract
BACKGROUND Although in general prenatal exome sequencing only reports (likely) pathogenic variants, in some cases a variant of uncertain significance (VUS) is disclosed. The aims of this retrospective study were to evaluate the types of VUS that have been reported to prospective parents, possible reclassification and to design a standard flow chart to determine which types of VUS could be considered for reporting in prenatal settings. Furthermore, we investigated what the crucial elements are to facilitate rapid management of uncertain results in a prenatal setting. MATERIAL AND METHODS We reviewed exome results from 451 pregnancies performed in 2019-2021. We analyzed which factors that were taken into account by the multidisciplinary team (MDT) contributed towards decision making on reporting VUS after prenatal exome sequencing. RESULTS In 9/451 (2%) pregnancies tested with exome sequencing using a broad panel analysis a VUS was reported. After birth 3/9 VUS could be reclassified to likely pathogenic variants based on new clinical follow up data. We considered reporting VUS in genes: 1) matching the fetal phenotype, 2) associated with a severe disorder when a functional test is available or 3) possibly associated with a disorder where early post-partum diagnosis and treatment are crucial for a better prognosis. Two flowcharts were designed to guide first the laboratory specialist and then the MDT in decisions on reporting VUS. The crucial elements that enabled timely decisions on VUS disclosure were regular meetings, appropriate expertise, professional connections with other experts and psychological safety within the MDT. CONCLUSION In this study three out of nine VUS could be re-classified as likely pathogenic after clinical follow-up. In order to protect pregnant couples from the burden of uncertain results, the genetic professionals have to take the responsibility to limit the reporting of VUS. This can be done not only by automated filtering of data, by following professional guidelines and by building standardized decision flows, but also by discussing individual cases considering personal situations and the involved disease and by sharing professional experience and responsibility in a multidisciplinary prenatal team setting.
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Affiliation(s)
- Karin E M Diderich
- Department of Clinical Genetics, Erasmus MC, Dr Molewaterplein 40, 3015 GD, Rotterdam, the Netherlands.
| | - Jasmijn E Klapwijk
- Department of Clinical Genetics, Erasmus MC, Dr Molewaterplein 40, 3015 GD, Rotterdam, the Netherlands
| | - Vyne van der Schoot
- Department of Clinical Genetics, Erasmus MC, Dr Molewaterplein 40, 3015 GD, Rotterdam, the Netherlands
| | - Myrthe van den Born
- Department of Clinical Genetics, Erasmus MC, Dr Molewaterplein 40, 3015 GD, Rotterdam, the Netherlands
| | - Martina Wilke
- Department of Clinical Genetics, Erasmus MC, Dr Molewaterplein 40, 3015 GD, Rotterdam, the Netherlands
| | - Marieke Joosten
- Department of Clinical Genetics, Erasmus MC, Dr Molewaterplein 40, 3015 GD, Rotterdam, the Netherlands
| | - Kyra E Stuurman
- Department of Clinical Genetics, Erasmus MC, Dr Molewaterplein 40, 3015 GD, Rotterdam, the Netherlands
| | - Lies H Hoefsloot
- Department of Clinical Genetics, Erasmus MC, Dr Molewaterplein 40, 3015 GD, Rotterdam, the Netherlands
| | - Diane Van Opstal
- Department of Clinical Genetics, Erasmus MC, Dr Molewaterplein 40, 3015 GD, Rotterdam, the Netherlands
| | - Hennie T Brüggenwirth
- Department of Clinical Genetics, Erasmus MC, Dr Molewaterplein 40, 3015 GD, Rotterdam, the Netherlands
| | - Malgorzata I Srebniak
- Department of Clinical Genetics, Erasmus MC, Dr Molewaterplein 40, 3015 GD, Rotterdam, the Netherlands
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19
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Gabriele A, Chierto E, Gino S, Inturri S, Aneli S, Robino C. Privacy and ethical challenges of the Amelogenin sex test in forensic paternity/kinship analysis: Insights from a 13-year case history. Forensic Sci Int Synerg 2023; 7:100440. [PMID: 37840559 PMCID: PMC10568343 DOI: 10.1016/j.fsisyn.2023.100440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 09/07/2023] [Accepted: 09/14/2023] [Indexed: 10/17/2023]
Abstract
The Amelogenin sex test included in forensic DNA typing kits has the potential to identify congenital conditions such as differences/disorders of sex development (DSD). It can also reveal mismatches between genotypic sex and gender marker in identity documents of transgender persons who obtained legal gender recognition. In a 13-year case history of paternity/kinship tests, involving n = 962 females and n = 1001 males, two mismatches between Amelogenin sex test (male) and gender marker (female), and three cases of chromosomal DSD (Klinefelter syndrome) were observed. The concrete risk of observing Amelogenin anomalies, their potential causes, and the context in which they occur (forensic, i.e. non-medical) mean that laboratory operators are called to strike a complex balance between privacy interests and individual health rights when providing preliminary information and reporting Amelogenin incidental findings. This case history argues for the need of a more responsible approach towards the Amelogenin sex test in the forensic community.
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Affiliation(s)
- Alessandro Gabriele
- Department of Public Health Sciences and Pediatrics, University of Turin, C.so Galileo Galilei 22, 10126, Turin, Italy
| | - Elena Chierto
- Department of Public Health Sciences and Pediatrics, University of Turin, C.so Galileo Galilei 22, 10126, Turin, Italy
| | - Sarah Gino
- Department of Health Sciences, University of Eastern Piedmont, Via Solaroli 17, 28100, Novara, Italy
| | - Serena Inturri
- Department of Public Health Sciences and Pediatrics, University of Turin, C.so Galileo Galilei 22, 10126, Turin, Italy
| | - Serena Aneli
- Department of Public Health Sciences and Pediatrics, University of Turin, C.so Galileo Galilei 22, 10126, Turin, Italy
| | - Carlo Robino
- Department of Public Health Sciences and Pediatrics, University of Turin, C.so Galileo Galilei 22, 10126, Turin, Italy
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20
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Christian S, Dzwiniel T. Principles of Genetic Counseling in Inherited Heart Conditions. Card Electrophysiol Clin 2023; 15:229-239. [PMID: 37558294 DOI: 10.1016/j.ccep.2023.05.001] [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] [Indexed: 08/11/2023]
Abstract
Cardiac genetic counseling is the process of helping individuals adapt to a personal diagnosis or family history of an inherited heart condition. The process is shown to benefit patients and includes specialized skills, such as counseling children and interpreting complex genetic results. Emerging areas include: evolving service delivery models for caring for patients and communicating risk to relatives, new areas of need including postmortem molecular autopsy, and new populations of individuals found to carry a likely pathogenic/pathogenic cardiac variant identified through genomic screening. This article provides an overview of the cardiac genetic counseling process and evolving areas in the field.
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Affiliation(s)
- Susan Christian
- Department of Medical Genetics, University of Alberta, Edmonton, Alberta, Canada.
| | - Tara Dzwiniel
- Department of Medical Genetics, University of Alberta, Edmonton, Alberta, Canada
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21
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Ungar WJ, Hayeems RZ, Marshall CR, Gillespie MK, Szuto A, Chisholm C, James Stavropoulos D, Huang L, Jarinova O, Wu V, Tsiplova K, Lau L, Lee W, Venkataramanan V, Sawyer S, Mendoza-Londono R, Somerville MJ, Boycott KM. Protocol for a Prospective, Observational Cost-effectiveness Analysis of Returning Secondary Findings of Genome Sequencing for Unexplained Suspected Genetic Conditions. Clin Ther 2023; 45:702-709. [PMID: 37453830 DOI: 10.1016/j.clinthera.2023.06.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 05/05/2023] [Accepted: 06/02/2023] [Indexed: 07/18/2023]
Abstract
PURPOSE Although costly, genome-wide sequencing (GWS) detects an extensive range of variants, enhancing our ability to diagnose and assess risk for an increasing number of diseases. In addition to detecting variants related to the indication for testing, GWS can detect secondary variants in BRCA1, BRCA2, and other genes for which early intervention may improve health. As the list of secondary findings grows, there is increased demand for surveillance and management by multiple specialists, adding pressure to constrained health care budgets. Secondary finding testing is actively debated because some consider it opportunistic screening for future health risks that may not manifest. Given the economic implications of secondary finding testing and follow-up and its unproven clinical utility, the objective is to assess the incremental cost-effectiveness of secondary finding ascertainment per case detected and per unit of improved clinical utility in families of children with unexplained suspected genetic conditions undergoing clinical GWS. METHODS Those undergoing trio genome or exome sequencing are eligible for the study. Positive secondary finding index cases will be matched to negative controls (1:2) based on age group, primary result(s) type, and clinical indication. During the 2-year study, 71 cases and 142 matched controls are expected. Health service use will be collected in patients and 1 adult family member every 6 months. The per-child and per-dyad total cost will be determined by multiplying use of each resource by a corresponding unit price and summing all cost items. Costs will be estimated from the public and societal payer perspectives. The mean cost per child and per dyad for secondary finding-positive and secondary finding-negative groups will be compared statistically. If important demographic differences are observed between groups, ordinary least-squares regression, log transformation, or other nonparametric technique will be used to compare adjusted mean costs. The ratio of the difference in mean cost to the secondary finding yield will be used to estimate incremental cost-effectiveness. In secondary analyses, effectiveness will be estimated using the number of clinical management changes due to secondary findings or the Clinician-Reported Genetic Testing Utility Index (C-GUIDE) score, a validated measure of clinical utility. Sensitivity analysis will be undertaken to assess the robustness of the findings to variation in key parameters. IMPLICATIONS This study generates key evidence to inform clinical practice and funding allocation related to secondary finding testing. The inclusion of family members and a new measure of clinical utility represent important advancements in economic evaluation in genomics.
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Affiliation(s)
- Wendy J Ungar
- Program in Child Health Evaluative Sciences, Hospital for Sick Children Research Institute, Toronto, Ontario, Canada; Institute for Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.
| | - Robin Z Hayeems
- Program in Child Health Evaluative Sciences, Hospital for Sick Children Research Institute, Toronto, Ontario, Canada; Institute for Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Christian R Marshall
- Genome Diagnostics, Department of Paediatric Laboratory Medicine, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Meredith K Gillespie
- Children's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, Ontario, Canada
| | - Anna Szuto
- Division of Clinical and Metabolic Genetics, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Caitlin Chisholm
- Department of Genetics, Children's Hospital of Eastern Ontario, Ottawa, Ontario, Canada
| | - D James Stavropoulos
- Genome Diagnostics, Department of Paediatric Laboratory Medicine, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Lijia Huang
- Department of Genetics, Children's Hospital of Eastern Ontario, Ottawa, Ontario, Canada
| | - Olga Jarinova
- Children's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, Ontario, Canada; Department of Genetics, Children's Hospital of Eastern Ontario, Ottawa, Ontario, Canada
| | - Vercancy Wu
- Program in Child Health Evaluative Sciences, Hospital for Sick Children Research Institute, Toronto, Ontario, Canada
| | - Kate Tsiplova
- Program in Child Health Evaluative Sciences, Hospital for Sick Children Research Institute, Toronto, Ontario, Canada
| | - Lynnette Lau
- Genome Diagnostics, Department of Paediatric Laboratory Medicine, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Whiwon Lee
- Institute for Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada; Division of Clinical and Metabolic Genetics, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Viji Venkataramanan
- Program in Child Health Evaluative Sciences, Hospital for Sick Children Research Institute, Toronto, Ontario, Canada
| | - Sarah Sawyer
- Department of Genetics, Children's Hospital of Eastern Ontario, Ottawa, Ontario, Canada
| | - Roberto Mendoza-Londono
- Division of Clinical and Metabolic Genetics, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Martin J Somerville
- Genome Diagnostics, Department of Paediatric Laboratory Medicine, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Kym M Boycott
- Children's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, Ontario, Canada; Department of Genetics, Children's Hospital of Eastern Ontario, Ottawa, Ontario, Canada
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22
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Lavelle TA, Smith HS. Pediatric Genomic Medicine: Value, Implementation, and Access. Clin Ther 2023; 45:687-689. [PMID: 37563063 DOI: 10.1016/j.clinthera.2023.07.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 07/12/2023] [Indexed: 08/12/2023]
Affiliation(s)
- Tara A Lavelle
- Center for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, Massachusetts.
| | - Hadley Stevens Smith
- PRecisiOn Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
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23
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Kodida R, Reble E, Clausen M, Shickh S, Mighton C, Sam J, Forster N, Panchal S, Aronson M, Semotiuk K, Graham T, Silberman Y, Randall Armel S, McCuaig JM, Cohn I, Morel CF, Elser C, Eisen A, Carroll JC, Glogowski E, Schrader KA, Di Gioacchino V, Lerner-Ellis J, Kim RH, Bombard Y. A model for the return and referral of all clinically significant secondary findings of genomic sequencing. J Med Genet 2023; 60:733-739. [PMID: 37217257 DOI: 10.1136/jmg-2022-109091] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 04/19/2023] [Indexed: 05/24/2023]
Abstract
Secondary findings (SFs) identified through genomic sequencing (GS) can offer a wide range of health benefits to patients. Resource and capacity constraints pose a challenge to their clinical management; therefore, clinical workflows are needed to optimise the health benefits of SFs. In this paper, we describe a model we created for the return and referral of all clinically significant SFs, beyond medically actionable results, from GS. As part of a randomised controlled trial evaluating the outcomes and costs of disclosing all clinically significant SFs from GS, we consulted genetics and primary care experts to determine a feasible workflow to manage SFs. Consensus was sought to determine appropriate clinical recommendations for each category of SF and which clinician specialist would provide follow-up care. We developed a communication and referral plan for each category of SFs. This involved referrals to specialised clinics, such as an Adult Genetics clinic, for highly penetrant medically actionable findings. Common and non-urgent SFs, such as pharmacogenomics and carrier status results for non-family planning participants, were directed back to the family physician (FP). SF results and recommendations were communicated directly to participants to respect autonomy and to their FPs to support follow-up of SFs. We describe a model for the return and referral of all clinically significant SFs to facilitate the utility of GS and promote the health benefits of SFs. This may serve as a model for others returning GS results transitioning participants from research to clinical settings.
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Affiliation(s)
- Rita Kodida
- Genomics Health Services & Policy Research Program, Li Ka Shing Knowledge Institute, St Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
| | - Emma Reble
- Genomics Health Services & Policy Research Program, Li Ka Shing Knowledge Institute, St Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
| | - Marc Clausen
- Genomics Health Services & Policy Research Program, Li Ka Shing Knowledge Institute, St Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
| | - Salma Shickh
- Genomics Health Services & Policy Research Program, Li Ka Shing Knowledge Institute, St Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Institute of Health Policy, Management & Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Chloe Mighton
- Genomics Health Services & Policy Research Program, Li Ka Shing Knowledge Institute, St Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Institute of Health Policy, Management & Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Jordan Sam
- Genomics Health Services & Policy Research Program, Li Ka Shing Knowledge Institute, St Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
| | - Nicole Forster
- Fred A. Litwin Family Centre in Genetic Medicine, University Health Network, Toronto, Ontario, Canada
| | - Seema Panchal
- The Marvelle Koffler Breast Centre, Mount Sinai Hospital, Sinai Health, Toronto, Ontario, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
| | - Melyssa Aronson
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
- Zane Cohen Centre for Digestive Diseases, Mount Sinai Hospital, Sinai Health, Toronto, Ontario, Canada
| | - Kara Semotiuk
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
- Zane Cohen Centre for Digestive Diseases, Mount Sinai Hospital, Sinai Health, Toronto, Ontario, Canada
| | - Tracy Graham
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Yael Silberman
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Susan Randall Armel
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
- Division of Medical Oncology & Hematology, Princess Margaret Hospital Cancer Centre, Toronto, Ontario, Canada
| | - Jeanna M McCuaig
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
- Division of Medical Oncology & Hematology, Princess Margaret Hospital Cancer Centre, Toronto, Ontario, Canada
| | - Iris Cohn
- Division of Clinical Pharmacology & Toxicology, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Chantal F Morel
- Fred A. Litwin Family Centre in Genetic Medicine, University Health Network, Toronto, Ontario, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Christine Elser
- The Marvelle Koffler Breast Centre, Mount Sinai Hospital, Sinai Health, Toronto, Ontario, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Andrea Eisen
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - June C Carroll
- Department of Family & Community Medicine, University of Toronto, Toronto, Ontario, Canada
- Granovsky Gluskin Family Medicine Centre, Mount Sinai Hospital, Sinai Health, Toronto, Ontario, Canada
| | | | - Kasmintan A Schrader
- British Columbia Cancer Agency, Vancouver, British Columbia, Canada
- Department of Medical Genetics, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Vanessa Di Gioacchino
- The Marvelle Koffler Breast Centre, Mount Sinai Hospital, Sinai Health, Toronto, Ontario, Canada
- Pathology & Laboratory Medicine, Mount Sinai Hospital, Sinai Health, Toronto, Ontario, Canada
| | - Jordan Lerner-Ellis
- Pathology & Laboratory Medicine, Mount Sinai Hospital, Sinai Health, Toronto, Ontario, Canada
- Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, Sinai Health, Toronto, Ontario, Canada
| | - Raymond H Kim
- Division of Medical Oncology & Hematology, Princess Margaret Hospital Cancer Centre, Toronto, Ontario, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Yvonne Bombard
- Genomics Health Services & Policy Research Program, Li Ka Shing Knowledge Institute, St Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Institute of Health Policy, Management & Evaluation, University of Toronto, Toronto, Ontario, Canada
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24
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Bouffler SE, Lee L, Lynch F, Martyn M, Lynch E, Macciocca I, Curnow L, McCorkell G, Lunke S, Chong B, Marum JE, Delatycki M, Downie L, Goranitis I, Vears DF, Best S, Clausen M, Bombard Y, Stark Z, Gaff CL. Two-step offer and return of multiple types of additional genomic findings to families after ultrarapid trio genomic testing in the acute care setting: a study protocol. BMJ Open 2023; 13:e072999. [PMID: 37270192 DOI: 10.1136/bmjopen-2023-072999] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/05/2023] Open
Abstract
INTRODUCTION As routine genomic testing expands, so too does the opportunity to look for additional health information unrelated to the original reason for testing, termed additional findings (AF). Analysis for many different types of AF may be available, particularly to families undergoing trio genomic testing. The optimal model for service delivery remains to be determined, especially when the original test occurs in the acute care setting. METHODS AND ANALYSIS Families enrolled in a national study providing ultrarapid genomic testing to critically ill children will be offered analysis for three types of AF on their stored genomic data: paediatric-onset conditions in the child, adult-onset conditions in each parent and reproductive carrier screening for the parents as a couple. The offer will be made 3-6 months after diagnostic testing. Parents will have access to a modified version of the Genetics Adviser web-based decision support tool before attending a genetic counselling appointment to discuss consent for AF. Parental experiences will be evaluated using qualitative and quantitative methods on data collected through surveys, appointment recordings and interviews at multiple time points. Evaluation will focus on parental preferences, uptake, decision support use and understanding of AF. Genetic health professionals' perspectives on acceptability and feasibility of AF will also be captured through surveys and interviews. ETHICS AND DISSEMINATION This project received ethics approval from the Melbourne Health Human Research Ethics Committee as part of the Australian Genomics Health Alliance protocol: HREC/16/MH/251. Findings will be disseminated through peer-review journal articles and at conferences nationally and internationally.
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Affiliation(s)
| | - Ling Lee
- Melbourne Genomics Health Alliance, Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia
- Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Fiona Lynch
- Murdoch Children's Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Victoria, Australia
| | - Melissa Martyn
- Melbourne Genomics Health Alliance, Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia
- Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Elly Lynch
- Melbourne Genomics Health Alliance, Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Ivan Macciocca
- Department of Paediatrics, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Victoria, Australia
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Lisette Curnow
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Giulia McCorkell
- Australian Genomics Health Alliance, Parkville, Victoria, Australia
- Department of Paediatrics, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Victoria, Australia
| | - Sebastian Lunke
- Department of Paediatrics, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Victoria, Australia
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Belinda Chong
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Justine E Marum
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Martin Delatycki
- Department of Paediatrics, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Victoria, Australia
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Lilian Downie
- Murdoch Children's Research Institute, Parkville, Victoria, Australia
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Ilias Goranitis
- Australian Genomics Health Alliance, Parkville, Victoria, Australia
- Health Economics Unit, Centre for Health Policy, Melbourne Schoold of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Danya F Vears
- Murdoch Children's Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Victoria, Australia
| | - Stephanie Best
- Australian Genomics Health Alliance, Parkville, Victoria, Australia
- Department of Health Services Research, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Marc Clausen
- Genomics Health Services Research Program, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
| | - Yvonne Bombard
- Genomics Health Services Research Program, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Zornitza Stark
- Australian Genomics Health Alliance, Parkville, Victoria, Australia
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Clara L Gaff
- Melbourne Genomics Health Alliance, Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia
- Murdoch Children's Research Institute, Parkville, Victoria, Australia
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25
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Diderich KEM, Klapwijk JE, van der Schoot V, Brüggenwirth HT, Joosten M, Srebniak MI. Challenges and Pragmatic Solutions in Pre-Test and Post-Test Genetic Counseling for Prenatal Exome Sequencing. Appl Clin Genet 2023; 16:89-97. [PMID: 37216148 PMCID: PMC10198275 DOI: 10.2147/tacg.s411185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Accepted: 04/19/2023] [Indexed: 05/24/2023] Open
Abstract
The yield of genetic prenatal diagnosis has been notably improved by introducing whole genome chromosomal microarray (CMA) and prenatal exome sequencing (pES). However, together with increased numbers of diagnoses made, the need to manage challenging findings such as variants of unknown significance (VUS) and incidental findings (IF) also increased. We have summarized the current guidelines and recommendations and we have shown current solutions used in our tertiary center in the Netherlands. We discuss four of the most common clinical situations: fetus with normal pES results, fetus with a pathogenic finding explaining the fetal phenotype, fetus with a variant of uncertain clinical significance fitting the phenotype and fetus with a variant leading to an incidental diagnosis. Additionally, we reflect on solutions in order to facilitate genetic counseling in an NGS-era.
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Affiliation(s)
| | | | | | | | - Marieke Joosten
- Department of Clinical Genetics, Erasmus MC, Rotterdam, the Netherlands
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26
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Shickh S, Sebastian A, Clausen M, Mighton C, Elser C, Eisen A, Waldman L, Panchal S, Ward T, Carroll JC, Glogowski E, Schrader KA, Lerner-Ellis J, Kim RH, Thorpe KE, Bombard Y. Great expectations: patients' preferences for clinically significant results from genomic sequencing. Hum Genet 2023; 142:553-562. [PMID: 36943453 PMCID: PMC11249280 DOI: 10.1007/s00439-023-02543-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Accepted: 03/05/2023] [Indexed: 03/23/2023]
Abstract
We aimed to describe patient preferences for a broad range of secondary findings (SF) from genomic sequencing (GS) and factors driving preferences. We assessed preference data within a trial of the Genomics ADvISER, (SF decision aid) among adult cancer patients. Participants could choose from five categories of SF: (1) medically actionable; (2) polygenic risks; (3) rare diseases; (4) early-onset neurological diseases; and (5) carrier status. We analyzed preferences using descriptive statistics and drivers of preferences using multivariable logistic regression models. The 133 participants were predominantly European (74%) or East Asian or mixed ancestry (13%), female (90%), and aged > 50 years old (60%). The majority chose to receive SF. 97% (129/133) chose actionable findings with 36% (48/133) choosing all 5 categories. Despite the lack of medical actionability, participants were interested in receiving SF of polygenic risks (74%), carrier status (75%), rare diseases (59%), and early-onset neurologic diseases (53%). Older participants were more likely to be interested in receiving results for early-onset neurological diseases, while those exhibiting lower decisional conflict were more likely to select all categories. Our results highlight a disconnect between cancer patient preferences and professional guidelines on SF, such as ACMG's recommendations to only return medically actionable secondary findings. In addition to clinical evidence, future guidelines should incorporate patient preferences.
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Affiliation(s)
- Salma Shickh
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada
- Genomics Health Services Research Program, Li Ka Shing Knowledge Institute of St. Michael's Hospital, Unity Health Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada
| | - Agnes Sebastian
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada
- Genomics Health Services Research Program, Li Ka Shing Knowledge Institute of St. Michael's Hospital, Unity Health Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada
| | - Marc Clausen
- Genomics Health Services Research Program, Li Ka Shing Knowledge Institute of St. Michael's Hospital, Unity Health Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada
| | - Chloe Mighton
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada
- Genomics Health Services Research Program, Li Ka Shing Knowledge Institute of St. Michael's Hospital, Unity Health Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada
| | - Christine Elser
- University Health Network, Toronto, ON, Canada
- Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - Andrea Eisen
- Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Larissa Waldman
- Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Seema Panchal
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
- Marvelle Koffler Breast Centre, Mount Sinai Hospital, Sinai Health, Toronto, ON, Canada
| | - Thomas Ward
- Zane Cohen Centre, Mount Sinai Hospital, Sinai Health, Toronto, ON, Canada
| | - June C Carroll
- Ray D Wolfe Department of Family Medicine, Sinai Health, Toronto, ON, Canada
- Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada
| | | | - Kasmintan A Schrader
- BC Cancer, Vancouver, BC, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
| | - Jordan Lerner-Ellis
- Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, Sinai Health, Toronto, ON, Canada
- Pathology and Laboratory Medicine, Mount Sinai Hospital, Sinai Health, Toronto, ON, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Raymond H Kim
- Department of Medicine, University of Toronto, Toronto, ON, Canada
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network and Sinai Health, Toronto, ON, Canada
- Division of Clinical and Metabolic Genetics, The Hospital for Sick Children, Toronto, ON, Canada
- Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Kevin E Thorpe
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
- Applied Health Research Centre, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada
| | - Yvonne Bombard
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.
- Genomics Health Services Research Program, Li Ka Shing Knowledge Institute of St. Michael's Hospital, Unity Health Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada.
- Ontario Institute for Cancer Research, Toronto, ON, Canada.
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27
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Kablan A, Silan F, Ozdemir O. Re-evaluation of Genetic Variants in Parkinson's Disease Using Targeted Panel and Next-Generation Sequencing. Twin Res Hum Genet 2023; 26:164-170. [PMID: 37139776 DOI: 10.1017/thg.2023.14] [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] [Indexed: 05/05/2023]
Abstract
Parkinson's disease (PD) is a complex disorder with a significant genetic component. Genetic variations associated with PD play a crucial role in the disease's inheritance and prognosis. Currently, 31 genes have been linked to PD in the OMIM database, and the number of genes and genetic variations identified is steadily increasing. To establish a robust correlation between phenotype and genotype, it is essential to compare research findings with existing literature. In this study, we aimed to identify genetic variants associated with PD using a targeted gene panel with next-generation sequencing (NGS) technology. Our objective was also to explore the idea of re-analyzing genetic variants of unknown significance (VUS). We screened 18 genes known to be related to PD using NGS in 43 patients who visited our outpatient clinic between 2018-2019. After 12-24 months, we re-evaluated the detected variants. We found 14 different heterozygous variants classified as pathogenic, likely pathogenic, or VUS in 14 individuals from nonconsanguineous families. We re-evaluated 15 variants and found changes in their interpretation. Targeted gene panel analysis with NGS can help identify genetic variants associated with PD with confidence. Re-analyzing certain variants at specific time intervals can be especially beneficial in selected situations. Our study aims to expand the clinical and genetic understanding of PD and emphasizes the importance of re-analysis.
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Affiliation(s)
- Ahmet Kablan
- Department of Medical Genetics, Faculty of Medicine, Canakkale Onsekiz Mart University, Canakkale, Turkey
- Department of Medical Genetics, Sanliurfa Training and Research Hospital, Sanliurfa, Turkey
| | - Fatma Silan
- Department of Medical Genetics, Faculty of Medicine, Canakkale Onsekiz Mart University, Canakkale, Turkey
| | - Ozturk Ozdemir
- Department of Medical Genetics, Faculty of Medicine, Canakkale Onsekiz Mart University, Canakkale, Turkey
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28
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Carter MT, Srour M, Au PYB, Buhas D, Dyack S, Eaton A, Inbar-Feigenberg M, Howley H, Kawamura A, Lewis SME, McCready E, Nelson TN, Vallance H. Genetic and metabolic investigations for neurodevelopmental disorders: position statement of the Canadian College of Medical Geneticists (CCMG). J Med Genet 2023; 60:523-532. [PMID: 36822643 DOI: 10.1136/jmg-2022-108962] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 01/27/2023] [Indexed: 02/25/2023]
Abstract
PURPOSE AND SCOPE The aim of this position statement is to provide recommendations for clinicians regarding the use of genetic and metabolic investigations for patients with neurodevelopmental disorders (NDDs), specifically, patients with global developmental delay (GDD), intellectual disability (ID) and/or autism spectrum disorder (ASD). This document also provides guidance for primary care and non-genetics specialists caring for these patients while awaiting consultation with a clinical geneticist or metabolic specialist. METHODS OF STATEMENT DEVELOPMENT A multidisciplinary group reviewed existing literature and guidelines on the use of genetic and metabolic investigations for the diagnosis of NDDs and synthesised the evidence to make recommendations relevant to the Canadian context. The statement was circulated for comment to the Canadian College of Medical Geneticists (CCMG) membership-at-large and to the Canadian Pediatric Society (Mental Health and Developmental Disabilities Committee); following incorporation of feedback, it was approved by the CCMG Board of Directors on 1 September 2022. RESULTS AND CONCLUSIONS Chromosomal microarray is recommended as a first-tier test for patients with GDD, ID or ASD. Fragile X testing should also be done as a first-tier test when there are suggestive clinical features or family history. Metabolic investigations should be done if there are clinical features suggestive of an inherited metabolic disease, while the patient awaits consultation with a metabolic physician. Exome sequencing or a comprehensive gene panel is recommended as a second-tier test for patients with GDD or ID. Genetic testing is not recommended for patients with NDDs in the absence of GDD, ID or ASD, unless accompanied by clinical features suggestive of a syndromic aetiology or inherited metabolic disease.
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Affiliation(s)
| | - Myriam Srour
- Division of Neurology, McGill University Health Centre, Montreal, Québec, Canada
- Department of Pediatrics, McGill University, Montréal, QC, Canada
| | - Ping-Yee Billie Au
- Department of Medical Genetics, Alberta Children's Hospital, Calgary, Alberta, Canada
| | - Daniela Buhas
- Division of Medical Genetics, Department of Specialized Medicine, McGill University Health Centre, McGill University, Montreal, Québec, Canada
- Department of Human Genetics, McGill University, Montreal, QC, Canada
| | - Sarah Dyack
- Division of Medical Genetics, IWK Health Centre, Halifax, Nova Scotia, Canada
- Department of Pediatrics, Dalhousie University, Halifax, NS, Canada
| | - Alison Eaton
- Department of Medical Genetics, Stollery Children's Hospital, Edmonton, Alberta, Canada
- Department of Medical Genetics, University of Alberta, Edmonton, AB, Canada
| | - Michal Inbar-Feigenberg
- Division of Clinical and Metabolic Genetics, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Heather Howley
- Office of Research Services, CHEO Research Institute, Ottawa, Ontario, Canada
| | - Anne Kawamura
- Division of Developmental Pediatrics, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Ontario, Canada
- Department of Paediatrics, University of Toronto, Toronto, ON, Canada
- Mental Health and Developmental Disability Committee, Canadian Pediatric Society, Ottawa, ON, Canada
- Canadian Paediatric Society, Toronto, Ontario, Canada
| | - Suzanne M E Lewis
- Department of Medical Genetics, BC Children's and Women's Hospital, Vancouver, British Columbia, Canada
| | - Elizabeth McCready
- Department of Pathology and Molecular Medicine, McMaster University, McMaster University, Hamilton, ON, Canada, Hamilton, Ontario, Canada
- Hamilton Regional Laboratory Medicine Program, Hamilton Health Sciences Centre, Hamilton, ON, Canada
| | - Tanya N Nelson
- Department of Pathology and Laboratory Medicine, BC Children's Hospital, University of British Columbia, Vancouver, British Columbia, Canada
| | - Hilary Vallance
- Department of Pathology and Laboratory Medicine, BC Children's Hospital, University of British Columbia, Vancouver, British Columbia, Canada
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29
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Tudini E, Haas MA, Mattiske T, Spurdle AB. Reporting clinically relevant genetic variants unrelated to genomic test requests: a survey of Australian clinical laboratory policies and practices. J Med Genet 2023; 60:609-614. [PMID: 36604177 DOI: 10.1136/jmg-2022-108808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Accepted: 11/02/2022] [Indexed: 01/07/2023]
Abstract
Approaches to reporting clinically important genetic findings unrelated to the initial test request vary internationally. We sought to investigate practices regarding the management and return of these findings in Australia. Australian clinically accredited genetic testing laboratories were surveyed in 2017 and 2020 regarding their opinions on issues relating to the return of clinically important genetic findings unrelated to the initial test request. Responses were collated and analysed for 15 laboratories in 2017, and 17 laboratories in 2020. Content analysis was also performed on seven laboratory policies in 2020. Analysis showed that overall there was a lack of consensus about the terminology used to describe such findings and reporting practices across different testing contexts. A clear exception was that no laboratories were actively searching for a list of medically actionable genes (eg, American College of Medical Genetics and Genomics secondary findings gene list). Laboratory policies showed little consistency in the documentation of issues related to the handling of these findings. These findings indicate a need for Australian-specific policy guidance that covers all aspects of clinically important genetic findings unrelated to the initial test request. We present recommendations for consideration when developing laboratory policies.
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Affiliation(s)
- Emma Tudini
- Australian Genomics Health Alliance, Parkville, Victoria, Australia.,Population Health, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Matilda A Haas
- Australian Genomics Health Alliance, Parkville, Victoria, Australia .,Genetics, Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Tessa Mattiske
- Australian Genomics Health Alliance, Parkville, Victoria, Australia.,Genetics, Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Amanda B Spurdle
- Population Health, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
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30
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Blout Zawatsky CL, Bick D, Bier L, Funke B, Lebo M, Lewis KL, Orlova E, Qian E, Ryan L, Schwartz MLB, Soper ER. Elective genomic testing: Practice resource of the National Society of Genetic Counselors. J Genet Couns 2023; 32:281-299. [PMID: 36597794 DOI: 10.1002/jgc4.1654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 10/24/2022] [Accepted: 10/28/2022] [Indexed: 01/05/2023]
Abstract
Genetic counseling for patients who are pursuing genetic testing in the absence of a medical indication, referred to as elective genomic testing (EGT), is becoming more common. This type of testing has the potential to detect genetic conditions before there is a significant health impact permitting earlier management and/or treatment. Pre- and post-test counseling for EGT is similar to indication-based genetic testing. Both require a complete family and medical history when ordering a test or interpreting a result. However, EGT counseling has some special considerations including greater uncertainties around penetrance and clinical utility and a lack of published guidelines. While certain considerations in the selection of a high-quality genetic testing laboratory are universal, there are some considerations that are unique to the selection of a laboratory performing EGT. This practice resource intends to provide guidance for genetic counselors and other healthcare providers caring for adults seeking pre- or post-test counseling for EGT. Genetic counselors and other genetics trained healthcare providers are the ideal medical professionals to supply accurate information to individuals seeking counseling about EGT enabling them to make informed decisions about testing and follow-up.
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Affiliation(s)
- Carrie L Blout Zawatsky
- Genomes2People, Brigham and Women's Hospital, Boston, Massachusetts, USA.,Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, USA.,Ariadne Labs, Boston, Massachusetts, USA.,The MGH Institute of Health Professions, Boston, Massachusetts, USA
| | | | - Louise Bier
- Institute for Genomic Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | | | - Matthew Lebo
- Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, USA.,Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts, USA.,Department of Pathology, Harvard Medical School, Cambridge, Massachusetts, USA.,Laboratory for Molecular Medicine, Mass General Brigham Personalized Medicine, Boston, Massachusetts, USA
| | - Katie L Lewis
- Center for Precision Health Research, National Institutes of Health, Bethesda, Maryland, USA
| | - Ekaterina Orlova
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Emily Qian
- Department of Genetics, Yale University, New Haven, Connecticut, USA
| | | | - Marci L B Schwartz
- Cardiac Genome Clinic, Ted Rogers Centre for Heart Research, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Emily R Soper
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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31
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Majeed S, Mighton C, Malkin D, Bombard Y. Heath policy guiding the identification, analysis and management of secondary findings for individuals undergoing genomic sequencing: a systematic review protocol. BMJ Open 2022; 12:e065496. [PMID: 36549730 PMCID: PMC9791410 DOI: 10.1136/bmjopen-2022-065496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
INTRODUCTION Genomic sequencing is increasingly enabling precision care across medical specialties; however, the discovery of genomic 'secondary findings' (SFs) unrelated to the patient's primary indication remains a profuse, unintended consequence. Existing practices within the continuum of SF identification, analysis and management are numerous, inconsistent and sometimes contradictory across health conditions and regions. Final decisions are often at the discretion of the genomic sequencing laboratory, bioinformatician or treating physician. This difference in healthcare delivery causes inconsistent information, disclosure and downstream impacts required to manage SFs and patient outcomes. Improving our understanding of the SF health policy landscape can determine components of the SF policy continuum spanning generation through to management that are in conflict, limitations of current guidance and existing needs across clinical settings. METHODS AND ANALYSIS We will carry out a systematic review to catalogue and appraise current guidance directing the identification, analysis and management of SFs for participants receiving genomic sequencing globally. We will conduct a comprehensive search of Medline (Medline R, Medline Epub Ahead of Print and Medline-In-Process & In-Data-Review Citations), Embase and Cochrane databases (n=5, inception to Feb 2022) and a grey literature search of international genomics websites (n=64; inception to May 2022). Key inclusion criteria include: guidance produced by health organisations, bioethics committees and professional associations, outlining recommendations for: (1) SF identification, (2) SF analysis or (3) SF management. Non-English language articles and conference abstracts will be excluded. Guidance will be critically appraised with the Appraisal of Guidelines for Research & Evaluation Instrument (AGREE) II tool. We will interpret our findings by process and across populations using a qualitative descriptive approach. ETHICS AND DISSEMINATION Our systematic review evaluates published data and does not require ethics review. Our findings will be disseminated through peer-reviewed publications, conference presentations and workshops with precision medicine stakeholders. PROSPERO REGISTRATION NUMBER CRD42022316079.
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Affiliation(s)
- Safa Majeed
- Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Genetics & Genome Biology, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Chloe Mighton
- Genomics Health Services Research Program, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
- Institute of Health Policy, Management, and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - David Malkin
- Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Genetics & Genome Biology, The Hospital for Sick Children, Toronto, Ontario, Canada
- Division of Hematology/Oncology, The Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Pediatrics, University of Toronto, Toronto, Ontario, Canada
| | - Yvonne Bombard
- Genomics Health Services Research Program, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
- Institute of Health Policy, Management, and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
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Elliott AM, Guimond C. Genetic counseling considerations in cerebral palsy. Mol Genet Metab 2022; 137:428-435. [PMID: 34389249 DOI: 10.1016/j.ymgme.2021.07.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 07/11/2021] [Accepted: 07/12/2021] [Indexed: 12/14/2022]
Abstract
Genome-wide sequencing (exome and whole genome) has transformed our ability to diagnose patients with suspected genetic disorders. Cerebral palsy (CP), although historically thought to be due to birth injury (perinatal hypoxia), represents a clinical spectrum of disorders, many of which have been attributed to a genetic cause. GWS has elucidated the underlying single gene cause for many patients with CP and has important implications for the customization of treatment, management, and genetic counseling. International guidelines recommend genetic counseling for all families considering genome-wide sequencing. Genetic counselors educate and support families and help them to make testing decisions based on their values. They can help families adapt to, and understand the implications of a genomic diagnosis. Here, we review advances in sequencing for CP, clinical features suggestive of a genetic etiology of CP, practice guidelines for GWS, and a practical approach to the genetic counseling of these families. This includes: the content to be addressed in pre-test and post-test genetic counseling sessions, the benefits of a establishing a genetic cause and importantly, the need for ongoing support.
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Affiliation(s)
- Alison M Elliott
- Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada; BC Children's Hospital Research Institute, Vancouver, British Columbia, Canada; Women's Health Research Institute, Vancouver, British Columbia, Canada.
| | - Colleen Guimond
- Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada
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Enhancing Molecular Testing for Effective Delivery of Actionable Gene Diagnostics. BIOENGINEERING (BASEL, SWITZERLAND) 2022; 9:bioengineering9120745. [PMID: 36550951 PMCID: PMC9774983 DOI: 10.3390/bioengineering9120745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 11/07/2022] [Accepted: 11/29/2022] [Indexed: 12/02/2022]
Abstract
There is a deep need to navigate within our genomic data to find, understand and pave the way for disease-specific treatments, as the clinical diagnostic journey provides only limited guidance. The human genome is enclosed in every nucleated cell, and yet at the single-cell resolution many unanswered questions remain, as most of the sequencing techniques use a bulk approach. Therefore, heterogeneity, mosaicism and many complex structural variants remain partially uncovered. As a conceptual approach, nanopore-based sequencing holds the promise of being a single-molecule-based, long-read and high-resolution technique, with the ability of uncovering the nucleic acid sequence and methylation almost in real time. A key limiting factor of current clinical genetics is the deciphering of key disease-causing genomic sequences. As the technological revolution is expanding regarding genetic data, the interpretation of genotype-phenotype correlations should be made with fine caution, as more and more evidence points toward the presence of more than one pathogenic variant acting together as a result of intergenic interplay in the background of a certain phenotype observed in a patient. This is in conjunction with the observation that many inheritable disorders manifest in a phenotypic spectrum, even in an intra-familial way. In the present review, we summarized the relevant data on nanopore sequencing regarding clinical genomics as well as highlighted the importance and content of pre-test and post-test genetic counselling, yielding a complex approach to phenotype-driven molecular diagnosis. This should significantly lower the time-to-right diagnosis as well lower the time required to complete a currently incomplete genotype-phenotype axis, which will boost the chance of establishing a new actionable diagnosis followed by therapeutical approach.
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Bowling KM, Thompson ML, Kelly MA, Scollon S, Slavotinek AM, Powell BC, Kirmse BM, Hendon LG, Brothers KB, Korf BR, Cooper GM, Greally JM, Hurst ACE. Return of non-ACMG recommended incidental genetic findings to pediatric patients: considerations and opportunities from experiences in genomic sequencing. Genome Med 2022; 14:131. [PMID: 36414972 PMCID: PMC9682742 DOI: 10.1186/s13073-022-01139-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 11/10/2022] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND The uptake of exome/genome sequencing has introduced unexpected testing results (incidental findings) that have become a major challenge for both testing laboratories and providers. While the American College of Medical Genetics and Genomics has outlined guidelines for laboratory management of clinically actionable secondary findings, debate remains as to whether incidental findings should be returned to patients, especially those representing pediatric populations. METHODS The Sequencing Analysis and Diagnostic Yield working group in the Clinical Sequencing Evidence-Generating Research Consortium has collected a cohort of pediatric patients found to harbor a genomic sequencing-identified non-ACMG-recommended incidental finding. The incidental variants were not thought to be associated with the indication for testing and were disclosed to patients and families. RESULTS In total, 23 "non-ACMG-recommended incidental findings were identified in 21 pediatric patients included in the study. These findings span four different research studies/laboratories and demonstrate differences in incidental finding return rate across study sites. We summarize specific cases to highlight core considerations that surround identification and return of incidental findings (uncertainty of disease onset, disease severity, age of onset, clinical actionability, and personal utility), and suggest that interpretation of incidental findings in pediatric patients can be difficult given evolving phenotypes. Furthermore, return of incidental findings can benefit patients and providers, but do present challenges. CONCLUSIONS While there may be considerable benefit to return of incidental genetic findings, these findings can be burdensome to providers and present risk to patients. It is important that laboratories conducting genomic testing establish internal guidelines in anticipation of detection. Moreover, cross-laboratory guidelines may aid in reducing the potential for policy heterogeneity across laboratories as it relates to incidental finding detection and return. However, future discussion is required to determine whether cohesive guidelines or policy statements are warranted.
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Affiliation(s)
- Kevin M Bowling
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, 35806, USA
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | | | - Melissa A Kelly
- HudsonAlpha Clinical Services Lab, LLC, HudsonAlpha Institute for Biotechnology, Huntsville, USA
| | - Sarah Scollon
- Department of Pediatrics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Anne M Slavotinek
- Department of Pediatrics, University of California, San Francisco, CA, 94158, USA
| | - Bradford C Powell
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Brian M Kirmse
- Department of Pediatrics, University of Mississippi Medical Center, Jackson, MS, 39216, USA
| | - Laura G Hendon
- Department of Pediatrics, University of Mississippi Medical Center, Jackson, MS, 39216, USA
| | - Kyle B Brothers
- Norton Children's Research Institute Affiliated with UofL School of Medicine, Louisville, KY, 40202, USA
| | - Bruce R Korf
- Department of Genetics, University of Alabama at Birmingham, Birmingham, AL, 25294, USA
| | - Gregory M Cooper
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, 35806, USA
| | - John M Greally
- Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, 10461, USA
| | - Anna C E Hurst
- Department of Genetics, University of Alabama at Birmingham, Birmingham, AL, 25294, USA.
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Boycott KM, Hartley T, Kernohan KD, Dyment DA, Howley H, Innes AM, Bernier FP, Brudno M. Care4Rare Canada: Outcomes from a decade of network science for rare disease gene discovery. Am J Hum Genet 2022; 109:1947-1959. [PMID: 36332610 PMCID: PMC9674964 DOI: 10.1016/j.ajhg.2022.10.002] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 10/04/2022] [Indexed: 11/06/2022] Open
Abstract
The past decade has witnessed a rapid evolution in rare disease (RD) research, fueled by the availability of genome-wide (exome and genome) sequencing. In 2011, as this transformative technology was introduced to the research community, the Care4Rare Canada Consortium was launched: initially as FORGE, followed by Care4Rare, and Care4Rare SOLVE. Over what amounted to three eras of diagnosis and discovery, the Care4Rare Consortium used exome sequencing and, more recently, genome and other 'omic technologies to identify the molecular cause of unsolved RDs. We achieved a diagnostic yield of 34% (623/1,806 of participating families), including the discovery of deleterious variants in 121 genes not previously associated with disease, and we continue to study candidate variants in novel genes for 145 families. The Consortium has made significant contributions to RD research, including development of platforms for data collection and sharing and instigating a Canadian network to catalyze functional characterization research of novel genes. The Consortium was instrumental to implementing genome-wide sequencing as a publicly funded test for RD diagnosis in Canada. Despite the successes of the past decade, the challenge of solving all RDs remains enormous, and the work is far from over. We must leverage clinical and 'omic data for secondary use, develop tools and policies to support safe data sharing, continue to explore the utility of new and emerging technologies, and optimize research protocols to delineate complex disease mechanisms. Successful approaches in each of these realms is required to offer diagnostic clarity to all families with RDs.
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Affiliation(s)
- Kym M. Boycott
- Children’s Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, ON K1H 8L1, Canada,Corresponding author
| | - Taila Hartley
- Children’s Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, ON K1H 8L1, Canada
| | - Kristin D. Kernohan
- Children’s Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, ON K1H 8L1, Canada
| | - David A. Dyment
- Children’s Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, ON K1H 8L1, Canada
| | - Heather Howley
- Children’s Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, ON K1H 8L1, Canada
| | - A. Micheil Innes
- Department of Medical Genetics and Alberta Children’s Hospital Research Institute, University of Calgary, Calgary, AB T2N 4N1, Canada
| | - Francois P. Bernier
- Department of Medical Genetics and Alberta Children’s Hospital Research Institute, University of Calgary, Calgary, AB T2N 4N1, Canada
| | - Michael Brudno
- Department of Computer Science, University of Toronto, Toronto, ON M5S 2E4, Canada
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Soriano-Sexto A, Gallego D, Leal F, Castejón-Fernández N, Navarrete R, Alcaide P, Couce ML, Martín-Hernández E, Quijada-Fraile P, Peña-Quintana L, Yahyaoui R, Correcher P, Ugarte M, Rodríguez-Pombo P, Pérez B. Identification of Clinical Variants beyond the Exome in Inborn Errors of Metabolism. Int J Mol Sci 2022; 23:ijms232112850. [PMID: 36361642 PMCID: PMC9654865 DOI: 10.3390/ijms232112850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 10/13/2022] [Accepted: 10/21/2022] [Indexed: 11/24/2022] Open
Abstract
Inborn errors of metabolism (IEM) constitute a huge group of rare diseases affecting 1 in every 1000 newborns. Next-generation sequencing has transformed the diagnosis of IEM, leading to its proposed use as a second-tier technology for confirming cases detected by clinical/biochemical studies or newborn screening. The diagnosis rate is, however, still not 100%. This paper reports the use of a personalized multi-omics (metabolomic, genomic and transcriptomic) pipeline plus functional genomics to aid in the genetic diagnosis of six unsolved cases, with a clinical and/or biochemical diagnosis of galactosemia, mucopolysaccharidosis type I (MPS I), maple syrup urine disease (MSUD), hyperphenylalaninemia (HPA), citrullinemia, or urea cycle deficiency. Eight novel variants in six genes were identified: six (four of them deep intronic) located in GALE, IDUA, PTS, ASS1 and OTC, all affecting the splicing process, and two located in the promoters of IDUA and PTS, thus affecting these genes’ expression. All the new variants were subjected to functional analysis to verify their pathogenic effects. This work underscores how the combination of different omics technologies and functional analysis can solve elusive cases in clinical practice.
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Affiliation(s)
- Alejandro Soriano-Sexto
- Centro de Diagnóstico de Enfermedades Moleculares, Centro de Biología Molecular, Departamento de Biología Molecular, Universidad Autónoma de Madrid, Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), IdiPAZ, 28049 Madrid, Spain
| | - Diana Gallego
- Centro de Diagnóstico de Enfermedades Moleculares, Centro de Biología Molecular, Departamento de Biología Molecular, Universidad Autónoma de Madrid, Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), IdiPAZ, 28049 Madrid, Spain
| | - Fátima Leal
- Centro de Diagnóstico de Enfermedades Moleculares, Centro de Biología Molecular, Departamento de Biología Molecular, Universidad Autónoma de Madrid, Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), IdiPAZ, 28049 Madrid, Spain
| | - Natalia Castejón-Fernández
- Centro de Diagnóstico de Enfermedades Moleculares, Centro de Biología Molecular, Departamento de Biología Molecular, Universidad Autónoma de Madrid, Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), IdiPAZ, 28049 Madrid, Spain
| | - Rosa Navarrete
- Centro de Diagnóstico de Enfermedades Moleculares, Centro de Biología Molecular, Departamento de Biología Molecular, Universidad Autónoma de Madrid, Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), IdiPAZ, 28049 Madrid, Spain
| | - Patricia Alcaide
- Centro de Diagnóstico de Enfermedades Moleculares, Centro de Biología Molecular, Departamento de Biología Molecular, Universidad Autónoma de Madrid, Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), IdiPAZ, 28049 Madrid, Spain
| | - María L. Couce
- Unit for the Diagnosis and Treatment of Congenital Metabolic Diseases, Clinical University Hospital of Santiago de Compostela, Health Research Institute of Santiago de Compostela, University of Santiago de Compostela, CIBERER, MetabERN, 15706 Santiago de Compostela, Spain
| | - Elena Martín-Hernández
- Unidad de Enfermedades Mitocondriales-Metabólicas Hereditarias, Servicio de Pediatría, Centro de Referencia Nacional (CSUR) y Europeo (MetabERN) para Enfermedades Metabólicas Hereditarias, Hospital Universitario 12 de Octubre, 28041 Madrid, Spain
| | - Pilar Quijada-Fraile
- Unidad de Enfermedades Mitocondriales-Metabólicas Hereditarias, Servicio de Pediatría, Centro de Referencia Nacional (CSUR) y Europeo (MetabERN) para Enfermedades Metabólicas Hereditarias, Hospital Universitario 12 de Octubre, 28041 Madrid, Spain
| | - Luis Peña-Quintana
- Pediatric Gastroenterology, Hepatology and Nutrition Unit, Complejo Hospitalario Universitario Insular Materno-Infantil (CHUIMI), Universidad de Las Palmas de Gran Canaria, Asociación Canaria para La Investigación Pediátrica, Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y la Nutrición (CIBEROBN) ISCIII, 35016 Gran Canaria, Spain
| | - Raquel Yahyaoui
- Laboratory of Metabolic Disorders and Newborn Screening, Institute of Biomedical Research in Málaga (IBIMA-Plafatorma BIONAND), IBIMA-RARE, Málaga Regional University Hospital, 29010 Málaga, Spain
| | - Patricia Correcher
- Nutrition and Metabolophaties Unit, Hospital Universitario La Fe, 46026 Valencia, Spain
| | - Magdalena Ugarte
- Centro de Diagnóstico de Enfermedades Moleculares, Centro de Biología Molecular, Departamento de Biología Molecular, Universidad Autónoma de Madrid, Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), IdiPAZ, 28049 Madrid, Spain
| | - Pilar Rodríguez-Pombo
- Centro de Diagnóstico de Enfermedades Moleculares, Centro de Biología Molecular, Departamento de Biología Molecular, Universidad Autónoma de Madrid, Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), IdiPAZ, 28049 Madrid, Spain
| | - Belén Pérez
- Centro de Diagnóstico de Enfermedades Moleculares, Centro de Biología Molecular, Departamento de Biología Molecular, Universidad Autónoma de Madrid, Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), IdiPAZ, 28049 Madrid, Spain
- Correspondence:
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Hayeems RZ, Bernier F, Boycott KM, Hartley T, Michaels-Igbokwe C, Marshall DA. Positioning whole exome sequencing in the diagnostic pathway for rare disease to optimise utility: a protocol for an observational cohort study and an economic evaluation. BMJ Open 2022; 12:e061468. [PMID: 36216418 PMCID: PMC9557316 DOI: 10.1136/bmjopen-2022-061468] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
INTRODUCTION Despite the superior diagnostic performance of exome and genome sequencing compared with conventional genetic tests, evidence gaps related to clinical utility and cost effectiveness have limited their availability in routine clinical practice in many jurisdictions. To inform adoption and reimbursement policy, this protocol provides a chain of evidence approach to determining the diagnostic utility, clinical utility and cost-effectiveness of whole exome sequencing (WES) from seven medical genetic centres in two Canadian provinces. METHODS AND ANALYSIS Using a multicentre observational cohort design, we will extract data specific to the pre-WES diagnostic pathway and 1-year post-WES medical management from electronic medical records for 650 patients with rare disease of suspected genetic aetiology who receive WES. The date from the clinical record will be linked to provincial administrative health database to capture healthcare resource use and estimate costs. Our analysis will: (1) define and describe diagnostic testing pathways that occur prior to WES among patients with rare disease, (2) determine the diagnostic utility of WES, characterised as the proportion of patients for whom causative DNA variants are identified, (3) determine the clinical utility of WES, characterised as a change in medical management triggered by WES results, (4) determine the pattern and cost of health service utilisation prior and 1 year following WES among patients who receive a diagnosis, do not receive a diagnosis, or receive an uncertain diagnosis and (5) estimate the cost-effectiveness of WES compared with conventional diagnostic testing pathways, measured by the incremental cost per additional patient diagnosed by WES using simulation modelling. ETHICS AND DISSEMINATION This protocol was approved by Clinical Trials Ontario (CTO-1577) and research ethics boards at the University of Calgary (REB18-0744 and REB20-1449) and University of Alberta (Pro0009156). Findings will be disseminated through academic publications and policy reports.
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Affiliation(s)
- Robin Z Hayeems
- Child Health Evaluative Sciences, Hospital for Sick Children Research Institute, Toronto, Ontario, Canada
- Institute of Health Policy Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Francois Bernier
- Department of Medical Genetics, Alberta Children's Hospital, Calgary, Alberta, Canada
- Cummings School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Kym M Boycott
- Department of Genetics, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
- Department of Paediatrics, Facuty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Taila Hartley
- Department of Genetics, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
| | - Christine Michaels-Igbokwe
- Cummings School of Medicine, University of Calgary, Calgary, Alberta, Canada
- O'Brien Institute for Public Health, University of Calgary, Calgary, Alberta, Canada
| | - Deborah A Marshall
- Cummings School of Medicine, University of Calgary, Calgary, Alberta, Canada
- O'Brien Institute for Public Health, University of Calgary, Calgary, Alberta, Canada
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Callahan KP, Mueller R, Flibotte J, Largent EA, Feudtner C. Measures of Utility Among Studies of Genomic Medicine for Critically Ill Infants: A Systematic Review. JAMA Netw Open 2022; 5:e2225980. [PMID: 35947384 PMCID: PMC9366540 DOI: 10.1001/jamanetworkopen.2022.25980] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
IMPORTANCE Genomic medicine holds promise to revolutionize care for critically ill infants by tailoring treatments for patients and providing additional prognostic information to families. However, measuring the utility of genomic medicine is not straightforward and has important clinical and ethical implications. OBJECTIVE To review the ways that researchers measure or neglect to measure the utility of genomic medicine for critically ill infants. EVIDENCE REVIEW This systematic review included prospective full-text studies of genomic medicine of both whole exome and genome sequencing in critically ill infants younger than 1 year. PubMed, Embase, Scopus, and Cochrane Library databases, the Cochrane Database of Systematic Reviews, and the ClinicalTrials.gov register were searched with an English language restriction for articles published from the inception of each database through May 2022. Search terms included variations of the following: gene, sequencing, intensive care, critical care, and infant. From the included articles, information on how utility was defined and measured was extracted and synthesized. Information was also extracted from patient cases that authors highlighted by providing additional information. Spearman rank-order correlation was used to evaluate the association between study size and utility. FINDINGS Synthesized data from the 21 included studies reflected results from 1654 patients. A mean of 46% (range, 15%-72%) of patients had a positive genetic test result, and a mean of 37% (range, 13%-61%) met the criteria for experiencing utility. Despite heterogeneity in how studies measured and reported utility, a standardized framework was created with 5 categories of utility: treatment change, redirection of care, prognostic information, reproductive information, and screening or subspecialty referral. Most studies omitted important categories of utility, notably personal utility (patient-reported benefits) (20 studies [95%]), utility of negative or uncertain results (15 [71%]), and disutility (harms) (20 [95%]). Studies disproportionally highlighted patient cases that resulted in treatment change. Larger studies reported substantially lower utility (r = -0.65; P = .002). CONCLUSIONS AND RELEVANCE This systematic review found that genomic medicine offered various categories of utility for a substantial proportion of critically ill infants. Studies measured utility in heterogeneous ways and focused more on documenting change than assessing meaningful benefit. Authors' decisions about which cases to highlight suggest that some categories of utility may be more important than others. A more complete definition of utility that is used consistently may improve understanding of potential benefits and harms of genetic medicine.
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Affiliation(s)
- Katharine Press Callahan
- The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
- Department of Medical Ethics and Health Policy, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Rebecca Mueller
- Department of Medical Ethics and Health Policy, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - John Flibotte
- The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Emily A. Largent
- Department of Medical Ethics and Health Policy, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Chris Feudtner
- The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
- Department of Medical Ethics and Health Policy, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
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Elliott AM, Adam S, du Souich C, Lehman A, Nelson TN, van Karnebeek C, Alderman E, Armstrong L, Aubertin G, Blood K, Boelman C, Boerkoel C, Bretherick K, Brown L, Chijiwa C, Clarke L, Couse M, Creighton S, Watts-Dickens A, Gibson WT, Gill H, Tarailo-Graovac M, Hamilton S, Heran H, Horvath G, Huang L, Hulait GK, Koehn D, Lee HK, Lewis S, Lopez E, Louie K, Niederhoffer K, Matthews A, Meagher K, Peng JJ, Patel MS, Race S, Richmond P, Rupps R, Salvarinova R, Seath K, Selby K, Steinraths M, Stockler S, Tang K, Tyson C, van Allen M, Wasserman W, Mwenifumbo J, Friedman JM. Genome-wide sequencing and the clinical diagnosis of genetic disease: The CAUSES study. HGG ADVANCES 2022; 3:100108. [PMID: 35599849 PMCID: PMC9117924 DOI: 10.1016/j.xhgg.2022.100108] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Accepted: 04/11/2022] [Indexed: 12/02/2022] Open
Abstract
Genome-wide sequencing (GWS) is a standard of care for diagnosis of suspected genetic disorders, but the proportion of patients found to have pathogenic or likely pathogenic variants ranges from less than 30% to more than 60% in reported studies. It has been suggested that the diagnostic rate can be improved by interpreting genomic variants in the context of each affected individual's full clinical picture and by regular follow-up and reinterpretation of GWS laboratory results. Trio exome sequencing was performed in 415 families and trio genome sequencing in 85 families in the CAUSES study. The variants observed were interpreted by a multidisciplinary team including laboratory geneticists, bioinformaticians, clinical geneticists, genetic counselors, pediatric subspecialists, and the referring physician, and independently by a clinical laboratory using standard American College of Medical Genetics and Genomics (ACMG) criteria. Individuals were followed for an average of 5.1 years after testing, with clinical reassessment and reinterpretation of the GWS results as necessary. The multidisciplinary team established a diagnosis of genetic disease in 43.0% of the families at the time of initial GWS interpretation, and longitudinal follow-up and reinterpretation of GWS results produced new diagnoses in 17.2% of families whose initial GWS interpretation was uninformative or uncertain. Reinterpretation also resulted in rescinding a diagnosis in four families (1.9%). Of the families studied, 33.6% had ACMG pathogenic or likely pathogenic variants related to the clinical indication. Close collaboration among clinical geneticists, genetic counselors, laboratory geneticists, bioinformaticians, and individuals' primary physicians, with ongoing follow-up, reanalysis, and reinterpretation over time, can improve the clinical value of GWS.
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Affiliation(s)
- Alison M. Elliott
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
- BC Children’s Hospital Research Institute, Vancouver, BC, Canada
- Women’s Health Research Institute, Vancouver, BC, Canada
| | - Shelin Adam
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
- BC Children’s Hospital Research Institute, Vancouver, BC, Canada
| | - Christèle du Souich
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
- BC Children’s Hospital Research Institute, Vancouver, BC, Canada
| | - Anna Lehman
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
- BC Children’s Hospital Research Institute, Vancouver, BC, Canada
| | - Tanya N. Nelson
- Division of Genome Diagnostics, Department of Pathology and Laboratory Medicine, BC Children’s and Women’s Hospitals, Vancouver, BC, Canada
| | - Clara van Karnebeek
- Department of Pediatrics, Center for Molecular Medicine and Therapeutics, University of British Columbia, Vancouver, BC, Canada
- Department of Pediatrics, Emma Children’s Hospital, Amsterdam, University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
| | - Emily Alderman
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
| | - Linlea Armstrong
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
- BC Children’s Hospital Research Institute, Vancouver, BC, Canada
| | - Gudrun Aubertin
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
| | - Katherine Blood
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
| | - Cyrus Boelman
- BC Children’s Hospital Research Institute, Vancouver, BC, Canada
- Division of Neurology, Department of Pediatrics, University of British Columbia, Vancouver, BC, Canada
| | - Cornelius Boerkoel
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
- BC Children’s Hospital Research Institute, Vancouver, BC, Canada
| | - Karla Bretherick
- Division of Genome Diagnostics, Department of Pathology and Laboratory Medicine, BC Children’s and Women’s Hospitals, Vancouver, BC, Canada
| | - Lindsay Brown
- Division of Genome Diagnostics, Department of Pathology and Laboratory Medicine, BC Children’s and Women’s Hospitals, Vancouver, BC, Canada
| | - Chieko Chijiwa
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
| | - Lorne Clarke
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
- BC Children’s Hospital Research Institute, Vancouver, BC, Canada
| | - Madeline Couse
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
| | - Susan Creighton
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
| | - Abby Watts-Dickens
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
| | - William T. Gibson
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
- BC Children’s Hospital Research Institute, Vancouver, BC, Canada
| | - Harinder Gill
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
| | | | - Sara Hamilton
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
| | - Harindar Heran
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
| | - Gabriella Horvath
- BC Children’s Hospital Research Institute, Vancouver, BC, Canada
- Division of Biochemical Diseases, Department of Pediatrics, University of British Columbia, Vancouver, BC, Canada
| | - Lijia Huang
- Division of Genome Diagnostics, Department of Pathology and Laboratory Medicine, BC Children’s and Women’s Hospitals, Vancouver, BC, Canada
| | - Gurdip K. Hulait
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
| | - David Koehn
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
| | - Hyun Kyung Lee
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
| | - Suzanne Lewis
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
- BC Children’s Hospital Research Institute, Vancouver, BC, Canada
| | - Elena Lopez
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
- BC Children’s Hospital Research Institute, Vancouver, BC, Canada
| | - Kristal Louie
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
| | - Karen Niederhoffer
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
| | - Allison Matthews
- Division of Genome Diagnostics, Department of Pathology and Laboratory Medicine, BC Children’s and Women’s Hospitals, Vancouver, BC, Canada
| | - Kirsten Meagher
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
| | - Junran J. Peng
- BC Children’s Hospital Research Institute, Vancouver, BC, Canada
| | - Millan S. Patel
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
- BC Children’s Hospital Research Institute, Vancouver, BC, Canada
| | - Simone Race
- Division of Biochemical Diseases, Department of Pediatrics, University of British Columbia, Vancouver, BC, Canada
| | - Phillip Richmond
- BC Children’s Hospital Research Institute, Vancouver, BC, Canada
| | - Rosemarie Rupps
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
| | - Ramona Salvarinova
- BC Children’s Hospital Research Institute, Vancouver, BC, Canada
- Division of Biochemical Diseases, Department of Pediatrics, University of British Columbia, Vancouver, BC, Canada
| | - Kimberly Seath
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
| | - Kathryn Selby
- BC Children’s Hospital Research Institute, Vancouver, BC, Canada
- Division of Neurology, Department of Pediatrics, University of British Columbia, Vancouver, BC, Canada
| | - Michelle Steinraths
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
| | - Sylvia Stockler
- BC Children’s Hospital Research Institute, Vancouver, BC, Canada
- Division of Biochemical Diseases, Department of Pediatrics, University of British Columbia, Vancouver, BC, Canada
| | - Kaoru Tang
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
| | - Christine Tyson
- Division of Genome Diagnostics, Department of Pathology and Laboratory Medicine, BC Children’s and Women’s Hospitals, Vancouver, BC, Canada
| | - Margot van Allen
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
- BC Children’s Hospital Research Institute, Vancouver, BC, Canada
| | - Wyeth Wasserman
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
- BC Children’s Hospital Research Institute, Vancouver, BC, Canada
- Department of Pediatrics, Center for Molecular Medicine and Therapeutics, University of British Columbia, Vancouver, BC, Canada
| | - Jill Mwenifumbo
- BC Children’s Hospital Research Institute, Vancouver, BC, Canada
| | - Jan M. Friedman
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
- BC Children’s Hospital Research Institute, Vancouver, BC, Canada
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40
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Moore AM, Richer J. Les tests et le dépistage génétiques chez les enfants. Paediatr Child Health 2022; 27:243-253. [PMID: 35859682 DOI: 10.1093/pch/pxac027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Accepted: 05/07/2021] [Indexed: 11/12/2022] Open
Abstract
Les tests génétiques, qui ont évolué rapidement depuis vingt ans, deviennent monnaie courante en pédiatrie. Le présent document de principes procure un aperçu des récents développements qui peuvent avoir des répercussions sur les tests génétiques chez les enfants. La génétique est un domaine en constante évolution, et le présent document de principes s'attarde tout particulièrement au dépistage néonatal élargi, au séquençage de nouvelle génération, aux découvertes fortuites, aux tests commercialisés directement auprès des consommateurs, aux tests d'histocompatibilité et aux tests génétiques dans le contexte de la recherche.
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Affiliation(s)
- Aideen M Moore
- Société canadienne de pédiatrie, comité de bioéthique Ottawa, (Ontario) Canada
| | - Julie Richer
- Société canadienne de pédiatrie, comité de bioéthique Ottawa, (Ontario) Canada
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41
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Moore AM, Richer J. Genetic testing and screening in children. Paediatr Child Health 2022; 27:243-253. [PMID: 35859684 DOI: 10.1093/pch/pxac028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Accepted: 05/07/2021] [Indexed: 11/14/2022] Open
Abstract
Genetic testing has progressed rapidly over the past two decades and is becoming common in paediatrics. This statement provides an overview of recent developments that may impact genetic testing in children. Genetics is a rapidly evolving field, and this statement focuses specifically on expanded newborn screening, next generation sequencing (NGS), incidental findings, direct-to-consumer testing, histocompatibility testing, and genetic testing in a research context.
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Affiliation(s)
- Aideen M Moore
- Canadian Paediatric Society, Bioethics Committee, Ottawa, Ontario, Canada
| | - Julie Richer
- Canadian Paediatric Society, Bioethics Committee, Ottawa, Ontario, Canada
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42
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Hou YCC, Neidich JA, Duncavage EJ, Spencer DH, Schroeder MC. Clinical whole-genome sequencing in cancer diagnosis. Hum Mutat 2022; 43:1519-1530. [PMID: 35471774 DOI: 10.1002/humu.24381] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 03/24/2022] [Accepted: 04/04/2022] [Indexed: 11/10/2022]
Abstract
Characterizing the genomic landscape of cancers is a routine part of clinical care that began with the discovery of the Philadelphia chromosome and has since coevolved with genomic technologies. Genomic analysis of tumors at the nucleotide level using DNA sequencing has revolutionized the understanding of cancer biology and identified new molecular drivers of disease that have led to therapeutic advances and improved patient outcomes. However, the application of next-generation sequencing in the clinical laboratory has generally been limited until very recently to targeted analysis of selected genes. Recent technological innovations and reductions in sequencing costs are now able to deliver the long-promised goal of tumor whole-genome sequencing as a practical clinical assay.
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Affiliation(s)
- Ying-Chen C Hou
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Julie A Neidich
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Eric J Duncavage
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - David H Spencer
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri, USA.,Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, USA.,McDonnell Genome Institute, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Molly C Schroeder
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri, USA
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43
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Hayeems RZ, Marshall CR, Gillespie MK, Szuto A, Chisholm C, Stavropoulos DJ, Venkataramanan V, Tsiplova K, Sawyer S, Price EM, Lau L, Khan R, Lee W, Huang L, Jarinova O, Ungar WJ, Mendoza-Londono R, Somerville MJ, Boycott KM. Comparing genome sequencing technologies to improve rare disease diagnostics: a protocol for the evaluation of a pilot project, Genome-wide Sequencing Ontario. CMAJ Open 2022; 10:E460-E465. [PMID: 35609929 PMCID: PMC9259466 DOI: 10.9778/cmajo.20210272] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Genome-wide sequencing has emerged as a promising strategy for the timely diagnosis of rare diseases, but it is not yet available as a clinical test performed in Canadian diagnostic laboratories. We describe the protocol for evaluating a 2-year pilot project, Genome-wide Sequencing Ontario, to offer high-quality clinical genome-wide sequencing in Ontario, Canada. METHODS The Genome-wide Sequencing Ontario protocol was codesigned by the Ontario Ministry of Health, the Hospital for Sick Children in Toronto and the Children's Hospital of Eastern Ontario in Ottawa. Enrolment of a prospective cohort of patients began on Apr. 1, 2021. Eligible cases with blood samples available for the index case and both parents (i.e., trios) are randomized to receive exome sequencing or genome sequencing. We will collect patient-level data and ascertain costs associated with the laboratory workflow for exome sequencing and genome sequencing. We will compare point estimates for the diagnostic utility and timeliness of exome sequencing and genome sequencing, and we will determine an incremental cost-effectiveness ratio (expressed as the incremental cost of genome sequencing versus exome sequencing per additional patient with a causal variant detected). INTERPRETATION Findings from this work will provide robust evidence for the diagnostic utility, cost-effectiveness and timeliness of exome sequencing and genome sequencing, and will be disseminated via academic publications and policy briefs. Findings will inform provincial and cross-provincial policy related to the long-term organization, delivery and reimbursement of clinical-grade genome diagnostics for rare disease.
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Affiliation(s)
- Robin Z Hayeems
- Program in Child Health Evaluative Sciences (Hayeems, Venkataramanan, Tsiplova, Lee, Ungar), Hospital for Sick Children Research Institute; Department of Paediatric Laboratory Medicine (Marshall, Stavropoulos, Lau, Somerville), Hospital for Sick Children, Toronto, Ont.; Department of Laboratory Medicine and Pathobiology, (Marshall, Stavropoulos, Somerville), University of Toronto, Toronto, Ont.; Children's Hospital of Eastern Ontario Research Institute (Gillespie, Price, Boycott), University of Ottawa, Ottawa, Ont.; Division of Clinical and Metabolic Genetics (Szuto, Khan, Lee, Mendoza-Londono), Hospital for Sick Children, Toronto, Ont.; Department of Genetics (Chisholm, Sawyer, Huang, Jarinova, Boycott), Children's Hospital of Eastern Ontario, Ottawa, Ont.
| | - Christian R Marshall
- Program in Child Health Evaluative Sciences (Hayeems, Venkataramanan, Tsiplova, Lee, Ungar), Hospital for Sick Children Research Institute; Department of Paediatric Laboratory Medicine (Marshall, Stavropoulos, Lau, Somerville), Hospital for Sick Children, Toronto, Ont.; Department of Laboratory Medicine and Pathobiology, (Marshall, Stavropoulos, Somerville), University of Toronto, Toronto, Ont.; Children's Hospital of Eastern Ontario Research Institute (Gillespie, Price, Boycott), University of Ottawa, Ottawa, Ont.; Division of Clinical and Metabolic Genetics (Szuto, Khan, Lee, Mendoza-Londono), Hospital for Sick Children, Toronto, Ont.; Department of Genetics (Chisholm, Sawyer, Huang, Jarinova, Boycott), Children's Hospital of Eastern Ontario, Ottawa, Ont
| | - Meredith K Gillespie
- Program in Child Health Evaluative Sciences (Hayeems, Venkataramanan, Tsiplova, Lee, Ungar), Hospital for Sick Children Research Institute; Department of Paediatric Laboratory Medicine (Marshall, Stavropoulos, Lau, Somerville), Hospital for Sick Children, Toronto, Ont.; Department of Laboratory Medicine and Pathobiology, (Marshall, Stavropoulos, Somerville), University of Toronto, Toronto, Ont.; Children's Hospital of Eastern Ontario Research Institute (Gillespie, Price, Boycott), University of Ottawa, Ottawa, Ont.; Division of Clinical and Metabolic Genetics (Szuto, Khan, Lee, Mendoza-Londono), Hospital for Sick Children, Toronto, Ont.; Department of Genetics (Chisholm, Sawyer, Huang, Jarinova, Boycott), Children's Hospital of Eastern Ontario, Ottawa, Ont
| | - Anna Szuto
- Program in Child Health Evaluative Sciences (Hayeems, Venkataramanan, Tsiplova, Lee, Ungar), Hospital for Sick Children Research Institute; Department of Paediatric Laboratory Medicine (Marshall, Stavropoulos, Lau, Somerville), Hospital for Sick Children, Toronto, Ont.; Department of Laboratory Medicine and Pathobiology, (Marshall, Stavropoulos, Somerville), University of Toronto, Toronto, Ont.; Children's Hospital of Eastern Ontario Research Institute (Gillespie, Price, Boycott), University of Ottawa, Ottawa, Ont.; Division of Clinical and Metabolic Genetics (Szuto, Khan, Lee, Mendoza-Londono), Hospital for Sick Children, Toronto, Ont.; Department of Genetics (Chisholm, Sawyer, Huang, Jarinova, Boycott), Children's Hospital of Eastern Ontario, Ottawa, Ont
| | - Caitlin Chisholm
- Program in Child Health Evaluative Sciences (Hayeems, Venkataramanan, Tsiplova, Lee, Ungar), Hospital for Sick Children Research Institute; Department of Paediatric Laboratory Medicine (Marshall, Stavropoulos, Lau, Somerville), Hospital for Sick Children, Toronto, Ont.; Department of Laboratory Medicine and Pathobiology, (Marshall, Stavropoulos, Somerville), University of Toronto, Toronto, Ont.; Children's Hospital of Eastern Ontario Research Institute (Gillespie, Price, Boycott), University of Ottawa, Ottawa, Ont.; Division of Clinical and Metabolic Genetics (Szuto, Khan, Lee, Mendoza-Londono), Hospital for Sick Children, Toronto, Ont.; Department of Genetics (Chisholm, Sawyer, Huang, Jarinova, Boycott), Children's Hospital of Eastern Ontario, Ottawa, Ont
| | - Dimitri J Stavropoulos
- Program in Child Health Evaluative Sciences (Hayeems, Venkataramanan, Tsiplova, Lee, Ungar), Hospital for Sick Children Research Institute; Department of Paediatric Laboratory Medicine (Marshall, Stavropoulos, Lau, Somerville), Hospital for Sick Children, Toronto, Ont.; Department of Laboratory Medicine and Pathobiology, (Marshall, Stavropoulos, Somerville), University of Toronto, Toronto, Ont.; Children's Hospital of Eastern Ontario Research Institute (Gillespie, Price, Boycott), University of Ottawa, Ottawa, Ont.; Division of Clinical and Metabolic Genetics (Szuto, Khan, Lee, Mendoza-Londono), Hospital for Sick Children, Toronto, Ont.; Department of Genetics (Chisholm, Sawyer, Huang, Jarinova, Boycott), Children's Hospital of Eastern Ontario, Ottawa, Ont
| | - Viji Venkataramanan
- Program in Child Health Evaluative Sciences (Hayeems, Venkataramanan, Tsiplova, Lee, Ungar), Hospital for Sick Children Research Institute; Department of Paediatric Laboratory Medicine (Marshall, Stavropoulos, Lau, Somerville), Hospital for Sick Children, Toronto, Ont.; Department of Laboratory Medicine and Pathobiology, (Marshall, Stavropoulos, Somerville), University of Toronto, Toronto, Ont.; Children's Hospital of Eastern Ontario Research Institute (Gillespie, Price, Boycott), University of Ottawa, Ottawa, Ont.; Division of Clinical and Metabolic Genetics (Szuto, Khan, Lee, Mendoza-Londono), Hospital for Sick Children, Toronto, Ont.; Department of Genetics (Chisholm, Sawyer, Huang, Jarinova, Boycott), Children's Hospital of Eastern Ontario, Ottawa, Ont
| | - Kate Tsiplova
- Program in Child Health Evaluative Sciences (Hayeems, Venkataramanan, Tsiplova, Lee, Ungar), Hospital for Sick Children Research Institute; Department of Paediatric Laboratory Medicine (Marshall, Stavropoulos, Lau, Somerville), Hospital for Sick Children, Toronto, Ont.; Department of Laboratory Medicine and Pathobiology, (Marshall, Stavropoulos, Somerville), University of Toronto, Toronto, Ont.; Children's Hospital of Eastern Ontario Research Institute (Gillespie, Price, Boycott), University of Ottawa, Ottawa, Ont.; Division of Clinical and Metabolic Genetics (Szuto, Khan, Lee, Mendoza-Londono), Hospital for Sick Children, Toronto, Ont.; Department of Genetics (Chisholm, Sawyer, Huang, Jarinova, Boycott), Children's Hospital of Eastern Ontario, Ottawa, Ont
| | - Sarah Sawyer
- Program in Child Health Evaluative Sciences (Hayeems, Venkataramanan, Tsiplova, Lee, Ungar), Hospital for Sick Children Research Institute; Department of Paediatric Laboratory Medicine (Marshall, Stavropoulos, Lau, Somerville), Hospital for Sick Children, Toronto, Ont.; Department of Laboratory Medicine and Pathobiology, (Marshall, Stavropoulos, Somerville), University of Toronto, Toronto, Ont.; Children's Hospital of Eastern Ontario Research Institute (Gillespie, Price, Boycott), University of Ottawa, Ottawa, Ont.; Division of Clinical and Metabolic Genetics (Szuto, Khan, Lee, Mendoza-Londono), Hospital for Sick Children, Toronto, Ont.; Department of Genetics (Chisholm, Sawyer, Huang, Jarinova, Boycott), Children's Hospital of Eastern Ontario, Ottawa, Ont
| | - E Magda Price
- Program in Child Health Evaluative Sciences (Hayeems, Venkataramanan, Tsiplova, Lee, Ungar), Hospital for Sick Children Research Institute; Department of Paediatric Laboratory Medicine (Marshall, Stavropoulos, Lau, Somerville), Hospital for Sick Children, Toronto, Ont.; Department of Laboratory Medicine and Pathobiology, (Marshall, Stavropoulos, Somerville), University of Toronto, Toronto, Ont.; Children's Hospital of Eastern Ontario Research Institute (Gillespie, Price, Boycott), University of Ottawa, Ottawa, Ont.; Division of Clinical and Metabolic Genetics (Szuto, Khan, Lee, Mendoza-Londono), Hospital for Sick Children, Toronto, Ont.; Department of Genetics (Chisholm, Sawyer, Huang, Jarinova, Boycott), Children's Hospital of Eastern Ontario, Ottawa, Ont
| | - Lynette Lau
- Program in Child Health Evaluative Sciences (Hayeems, Venkataramanan, Tsiplova, Lee, Ungar), Hospital for Sick Children Research Institute; Department of Paediatric Laboratory Medicine (Marshall, Stavropoulos, Lau, Somerville), Hospital for Sick Children, Toronto, Ont.; Department of Laboratory Medicine and Pathobiology, (Marshall, Stavropoulos, Somerville), University of Toronto, Toronto, Ont.; Children's Hospital of Eastern Ontario Research Institute (Gillespie, Price, Boycott), University of Ottawa, Ottawa, Ont.; Division of Clinical and Metabolic Genetics (Szuto, Khan, Lee, Mendoza-Londono), Hospital for Sick Children, Toronto, Ont.; Department of Genetics (Chisholm, Sawyer, Huang, Jarinova, Boycott), Children's Hospital of Eastern Ontario, Ottawa, Ont
| | - Reem Khan
- Program in Child Health Evaluative Sciences (Hayeems, Venkataramanan, Tsiplova, Lee, Ungar), Hospital for Sick Children Research Institute; Department of Paediatric Laboratory Medicine (Marshall, Stavropoulos, Lau, Somerville), Hospital for Sick Children, Toronto, Ont.; Department of Laboratory Medicine and Pathobiology, (Marshall, Stavropoulos, Somerville), University of Toronto, Toronto, Ont.; Children's Hospital of Eastern Ontario Research Institute (Gillespie, Price, Boycott), University of Ottawa, Ottawa, Ont.; Division of Clinical and Metabolic Genetics (Szuto, Khan, Lee, Mendoza-Londono), Hospital for Sick Children, Toronto, Ont.; Department of Genetics (Chisholm, Sawyer, Huang, Jarinova, Boycott), Children's Hospital of Eastern Ontario, Ottawa, Ont
| | - Whiwon Lee
- Program in Child Health Evaluative Sciences (Hayeems, Venkataramanan, Tsiplova, Lee, Ungar), Hospital for Sick Children Research Institute; Department of Paediatric Laboratory Medicine (Marshall, Stavropoulos, Lau, Somerville), Hospital for Sick Children, Toronto, Ont.; Department of Laboratory Medicine and Pathobiology, (Marshall, Stavropoulos, Somerville), University of Toronto, Toronto, Ont.; Children's Hospital of Eastern Ontario Research Institute (Gillespie, Price, Boycott), University of Ottawa, Ottawa, Ont.; Division of Clinical and Metabolic Genetics (Szuto, Khan, Lee, Mendoza-Londono), Hospital for Sick Children, Toronto, Ont.; Department of Genetics (Chisholm, Sawyer, Huang, Jarinova, Boycott), Children's Hospital of Eastern Ontario, Ottawa, Ont
| | - Lijia Huang
- Program in Child Health Evaluative Sciences (Hayeems, Venkataramanan, Tsiplova, Lee, Ungar), Hospital for Sick Children Research Institute; Department of Paediatric Laboratory Medicine (Marshall, Stavropoulos, Lau, Somerville), Hospital for Sick Children, Toronto, Ont.; Department of Laboratory Medicine and Pathobiology, (Marshall, Stavropoulos, Somerville), University of Toronto, Toronto, Ont.; Children's Hospital of Eastern Ontario Research Institute (Gillespie, Price, Boycott), University of Ottawa, Ottawa, Ont.; Division of Clinical and Metabolic Genetics (Szuto, Khan, Lee, Mendoza-Londono), Hospital for Sick Children, Toronto, Ont.; Department of Genetics (Chisholm, Sawyer, Huang, Jarinova, Boycott), Children's Hospital of Eastern Ontario, Ottawa, Ont
| | - Olga Jarinova
- Program in Child Health Evaluative Sciences (Hayeems, Venkataramanan, Tsiplova, Lee, Ungar), Hospital for Sick Children Research Institute; Department of Paediatric Laboratory Medicine (Marshall, Stavropoulos, Lau, Somerville), Hospital for Sick Children, Toronto, Ont.; Department of Laboratory Medicine and Pathobiology, (Marshall, Stavropoulos, Somerville), University of Toronto, Toronto, Ont.; Children's Hospital of Eastern Ontario Research Institute (Gillespie, Price, Boycott), University of Ottawa, Ottawa, Ont.; Division of Clinical and Metabolic Genetics (Szuto, Khan, Lee, Mendoza-Londono), Hospital for Sick Children, Toronto, Ont.; Department of Genetics (Chisholm, Sawyer, Huang, Jarinova, Boycott), Children's Hospital of Eastern Ontario, Ottawa, Ont
| | - Wendy J Ungar
- Program in Child Health Evaluative Sciences (Hayeems, Venkataramanan, Tsiplova, Lee, Ungar), Hospital for Sick Children Research Institute; Department of Paediatric Laboratory Medicine (Marshall, Stavropoulos, Lau, Somerville), Hospital for Sick Children, Toronto, Ont.; Department of Laboratory Medicine and Pathobiology, (Marshall, Stavropoulos, Somerville), University of Toronto, Toronto, Ont.; Children's Hospital of Eastern Ontario Research Institute (Gillespie, Price, Boycott), University of Ottawa, Ottawa, Ont.; Division of Clinical and Metabolic Genetics (Szuto, Khan, Lee, Mendoza-Londono), Hospital for Sick Children, Toronto, Ont.; Department of Genetics (Chisholm, Sawyer, Huang, Jarinova, Boycott), Children's Hospital of Eastern Ontario, Ottawa, Ont
| | - Roberto Mendoza-Londono
- Program in Child Health Evaluative Sciences (Hayeems, Venkataramanan, Tsiplova, Lee, Ungar), Hospital for Sick Children Research Institute; Department of Paediatric Laboratory Medicine (Marshall, Stavropoulos, Lau, Somerville), Hospital for Sick Children, Toronto, Ont.; Department of Laboratory Medicine and Pathobiology, (Marshall, Stavropoulos, Somerville), University of Toronto, Toronto, Ont.; Children's Hospital of Eastern Ontario Research Institute (Gillespie, Price, Boycott), University of Ottawa, Ottawa, Ont.; Division of Clinical and Metabolic Genetics (Szuto, Khan, Lee, Mendoza-Londono), Hospital for Sick Children, Toronto, Ont.; Department of Genetics (Chisholm, Sawyer, Huang, Jarinova, Boycott), Children's Hospital of Eastern Ontario, Ottawa, Ont
| | - Martin J Somerville
- Program in Child Health Evaluative Sciences (Hayeems, Venkataramanan, Tsiplova, Lee, Ungar), Hospital for Sick Children Research Institute; Department of Paediatric Laboratory Medicine (Marshall, Stavropoulos, Lau, Somerville), Hospital for Sick Children, Toronto, Ont.; Department of Laboratory Medicine and Pathobiology, (Marshall, Stavropoulos, Somerville), University of Toronto, Toronto, Ont.; Children's Hospital of Eastern Ontario Research Institute (Gillespie, Price, Boycott), University of Ottawa, Ottawa, Ont.; Division of Clinical and Metabolic Genetics (Szuto, Khan, Lee, Mendoza-Londono), Hospital for Sick Children, Toronto, Ont.; Department of Genetics (Chisholm, Sawyer, Huang, Jarinova, Boycott), Children's Hospital of Eastern Ontario, Ottawa, Ont
| | - Kym M Boycott
- Program in Child Health Evaluative Sciences (Hayeems, Venkataramanan, Tsiplova, Lee, Ungar), Hospital for Sick Children Research Institute; Department of Paediatric Laboratory Medicine (Marshall, Stavropoulos, Lau, Somerville), Hospital for Sick Children, Toronto, Ont.; Department of Laboratory Medicine and Pathobiology, (Marshall, Stavropoulos, Somerville), University of Toronto, Toronto, Ont.; Children's Hospital of Eastern Ontario Research Institute (Gillespie, Price, Boycott), University of Ottawa, Ottawa, Ont.; Division of Clinical and Metabolic Genetics (Szuto, Khan, Lee, Mendoza-Londono), Hospital for Sick Children, Toronto, Ont.; Department of Genetics (Chisholm, Sawyer, Huang, Jarinova, Boycott), Children's Hospital of Eastern Ontario, Ottawa, Ont
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44
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Goddard KAB, Lee K, Buchanan AH, Powell BC, Hunter JE. Establishing the Medical Actionability of Genomic Variants. Annu Rev Genomics Hum Genet 2022; 23:173-192. [PMID: 35363504 PMCID: PMC10184682 DOI: 10.1146/annurev-genom-111021-032401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Actionability is an important concept in medicine that does not have a well-accepted standard definition, nor is there a general consensus on how to establish it. Medical actionability is often conflated with clinical utility, a related but distinct concept. This lack of clarity contributes to practice variation and inconsistent coverage decisions in genomic medicine, leading to the potential for systematic bias in the use of evidence-based interventions. We clarify how medical actionability and clinical utility are distinct and then discuss the spectrum of actionability, including benefits for the person, the family, and society. We also describe applications across the life course, including prediction, diagnosis, and treatment. Current challenges in assessing the medical actionability of identified genomic variants include gaps in the evidence, limited contexts with practice guidelines, and subjective aspects of medical actionability. A standardized and authoritative assessment of medical actionability is critical to implementing genomic medicine in a fashion that improves population health outcomes and reduces health disparities. Expected final online publication date for the Annual Review of Genomics and Human Genetics, Volume 23 is October 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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Affiliation(s)
- Katrina A B Goddard
- Department of Translational and Applied Genomics, Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon, USA; .,Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, USA; , .,Genomic Medicine Institute, Geisinger Health System, Danville, Pennsylvania, USA; .,Genomics, Ethics, and Translational Research Program, RTI International, Research Triangle Park, North Carolina, USA;
| | - Kristy Lee
- Department of Translational and Applied Genomics, Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon, USA; .,Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, USA; , .,Genomic Medicine Institute, Geisinger Health System, Danville, Pennsylvania, USA; .,Genomics, Ethics, and Translational Research Program, RTI International, Research Triangle Park, North Carolina, USA;
| | - Adam H Buchanan
- Department of Translational and Applied Genomics, Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon, USA; .,Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, USA; , .,Genomic Medicine Institute, Geisinger Health System, Danville, Pennsylvania, USA; .,Genomics, Ethics, and Translational Research Program, RTI International, Research Triangle Park, North Carolina, USA;
| | - Bradford C Powell
- Department of Translational and Applied Genomics, Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon, USA; .,Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, USA; , .,Genomic Medicine Institute, Geisinger Health System, Danville, Pennsylvania, USA; .,Genomics, Ethics, and Translational Research Program, RTI International, Research Triangle Park, North Carolina, USA;
| | - Jessica Ezzell Hunter
- Department of Translational and Applied Genomics, Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon, USA; .,Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, USA; , .,Genomic Medicine Institute, Geisinger Health System, Danville, Pennsylvania, USA; .,Genomics, Ethics, and Translational Research Program, RTI International, Research Triangle Park, North Carolina, USA;
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45
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Cheung F, Birch P, Friedman JM, Elliott AM, Adam S. The long‐term impact of receiving incidental findings on parents undergoing genome‐wide sequencing. J Genet Couns 2022; 31:887-900. [DOI: 10.1002/jgc4.1558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2021] [Revised: 01/18/2022] [Accepted: 01/22/2022] [Indexed: 11/08/2022]
Affiliation(s)
- Faith Cheung
- Department of Medical Genetics Faculty of Medicine University of British Columbia Vancouver British Columbia Canada
| | - Patricia Birch
- Department of Medical Genetics Faculty of Medicine University of British Columbia Vancouver British Columbia Canada
- BC Children’s Hospital Research Institute Vancouver British Columbia Canada
| | - J. M. Friedman
- Department of Medical Genetics Faculty of Medicine University of British Columbia Vancouver British Columbia Canada
- BC Children’s Hospital Research Institute Vancouver British Columbia Canada
| | - Alison M Elliott
- Department of Medical Genetics Faculty of Medicine University of British Columbia Vancouver British Columbia Canada
- BC Children’s Hospital Research Institute Vancouver British Columbia Canada
- BC Women’s Health Research Institute Vancouver British Columbia Canada
| | - Shelin Adam
- Department of Medical Genetics Faculty of Medicine University of British Columbia Vancouver British Columbia Canada
- BC Children’s Hospital Research Institute Vancouver British Columbia Canada
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Wainstein T, Marshall SK, Ross CJD, Virani AK, Austin JC, Elliott AM. Experiences With Genetic Counseling, Testing, and Diagnosis Among Adolescents With a Genetic Condition: A Scoping Review. JAMA Pediatr 2022; 176:185-195. [PMID: 34807246 DOI: 10.1001/jamapediatrics.2021.4290] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
IMPORTANCE The number of adolescents who are diagnosed with a genetic disorder is increasing as genome sequencing becomes the standard of clinical diagnostic testing. However, the experience of receiving a diagnosis of a genetic condition has not been extensively studied in adolescents. OBJECTIVE To identify how adolescents with a genetic condition engage with genetic or genomic counseling services as well as interpret, adapt to, and experience their diagnosis. EVIDENCE REVIEW A literature search of MEDLINE, Embase, CINAHL, and PsycINFO was undertaken. Articles (primary literature, knowledge syntheses, and gray literature) in English that investigated the experiences of adolescents between 10 and 19 years of age who received genetic or genomic counseling were included. Data were extracted from 45 eligible articles and analyzed descriptively. FINDINGS A total of 45 studies were included, most of which were quantitative in nature (21 of 45 [47%]) and conducted in the US (n = 13), followed by the UK (n = 8), Australia (n = 8), and Canada (n = 6). A total of 29 distinct monogenic disorders were investigated. Sample sizes ranged from 1 to 930, with a median of 23 participants, and the year of publication ranged from 1977 to 2019. Included studies addressed all aspects of genetic counseling, but a preponderance of articles assessed knowledge about genetic conditions (n = 17) and challenges of communication within families (n = 16). Fewer articles addressed the experiences of adolescents adapting to their genetic conditions (n = 8) and the genetic counseling process (n = 4). Only 1 study addressed any aspect of genetic counseling in relation to genome sequencing. CONCLUSIONS AND RELEVANCE This scoping review found that most of the included studies focused on adolescents' knowledge about their genetic condition and communication about genetic risks, whereas fewer studies explored their adaptation to the condition and the genetic counseling process. A systematic reconsideration of the genetic counseling process may be undertaken to provide an evidence-informed health care service that is tailored to the needs of this adolescent population.
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Affiliation(s)
- Tasha Wainstein
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Sheila K Marshall
- School of Social Work, University of British Columbia, Vancouver, British Columbia, Canada.,Division of Adolescent Health and Medicine, Department of Pediatrics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Colin J D Ross
- BC Children's Hospital Research Institute, Vancouver, British Columbia, Canada.,Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia, Canada
| | - Alice K Virani
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.,Provincial Health Service Authority of British Columbia, Vancouver, British Columbia, Canada
| | - Jehannine C Austin
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.,BC Mental Health and Substance Use Services Research Institute, Vancouver, British Columbia, Canada.,Department of Psychiatry, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Alison M Elliott
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.,BC Children's Hospital Research Institute, Vancouver, British Columbia, Canada.,BC Women's Hospital Research Institute, Vancouver, British Columbia, Canada
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Public interest in unexpected genomic findings: a survey study identifying aspects of sequencing attitudes that influence preferences. J Community Genet 2022; 13:235-245. [DOI: 10.1007/s12687-022-00577-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Accepted: 01/14/2022] [Indexed: 10/19/2022] Open
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Vears D, Amor DJ. A framework for reporting secondary and incidental findings in prenatal sequencing: When and for whom? Prenat Diagn 2022; 42:697-704. [PMID: 35032068 PMCID: PMC9306573 DOI: 10.1002/pd.6097] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2021] [Revised: 01/03/2022] [Accepted: 01/09/2022] [Indexed: 12/27/2022]
Abstract
As the use of genomic sequencing (GS) in the prenatal setting becomes more widespread, laboratories and clinicians will be tasked with making decisions about whether to offer incidental and secondary findings to expectant parents and, if so, which ones. Unfortunately, few guidelines or position statements issued by professional bodies address the return of secondary findings specifically in the context of prenatal GS, nor do they offer clear guidance on whether, and which types of incidental findings should be reported. Laboratories and clinicians will also need to navigate other challenges, such as how to obtain sufficiently informed consent, workload burdens for both laboratories and clinicians, and funding. Here we discuss these, and other challenges associated with offering incidental and secondary findings in the context of prenatal GS. We outline existing guidelines for return of these findings, prenatally and in children. We review the existing literature on stakeholder perspectives on return of incidental and secondary findings and discuss the main practical and ethical challenges that require consideration. We then propose a framework to help guide decision-making, suggesting a baseline routine analysis, with additional layers of analysis that could be offered, according to local laboratory policy, with additional opt-in consent from the parents.
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Affiliation(s)
- Danya Vears
- Murdoch Children's Research Institute, Royal Children's Hospital, Melbourne, Victoria, Australia.,Melbourne Law School, University of Melbourne, Carlton, Victoria, Australia
| | - David J Amor
- Murdoch Children's Research Institute, Royal Children's Hospital, Melbourne, Victoria, Australia.,Department of Paediatrics, University of Melbourne, Royal Children's Hospital, Melbourne, Victoria, Australia
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Matsui K, Yamamoto K, Tashiro S, Ibuki T. A systematic approach to the disclosure of genomic findings in clinical practice and research: a proposed framework with colored matrix and decision-making pathways. BMC Med Ethics 2021; 22:168. [PMID: 34953504 PMCID: PMC8709972 DOI: 10.1186/s12910-021-00738-9] [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: 09/30/2021] [Accepted: 12/16/2021] [Indexed: 11/25/2022] Open
Abstract
Background Whether and how to disclose genomic findings obtained in the course of genomic clinical practice and medical research has been a controversial global bioethical issue over the past two decades. Although several recommendations and judgment tools for the disclosure of genomic findings have been proposed, none are sufficiently systematic or inclusive or even consistent with each other. In order to approach the disclosure/non-disclosure practice in an ethical manner, optimal and easy-to-use tools for supporting the judgment of physicians/researchers in genomic medicine are necessary. Methods The bioethics literature on this topic was analyzed to parse and deconstruct the somewhat overlapping and therefore ill-defined key concepts of genomic findings, such as incidental, primary, secondary, and other findings. Based on the deconstruction and conceptual analyses of these findings, we then defined key parameters from which to identify the strength of duty to disclose (SDD) for a genomic finding. These analyses were then applied to develop a framework with the SDD matrix and systematic decision-making pathways for the disclosure of genomic findings. Results The following six major parameters (axes), along with sub-axes, were identified: Axis 1 (settings and institutions where findings emerge); Axis 2 (presence or absence of intention and anticipatability in discovery); Axis 3 (maximal actionability at the time of discovery); Axis 4 (net medical importance); Axis 5 (expertise of treating physician/researcher); and Axis 6 (preferences of individual patients/research subjects for disclosure). For Axes 1 to 4, a colored SDD matrix for genomic findings was developed in which levels of obligation for disclosing a finding can be categorized. For Axes 5 and 6, systematic decision-making pathways were developed via the SDD matrix. Conclusion We analyzed the SDD of genomic findings and developed subsequent systematic decision-making pathways of whether and how to disclose genomic findings to patients/research subjects and their relatives in an ethical manner. Our comprehensive framework may help physicians and researchers in genomic medicine make consistent ethical judgments regarding the disclosure of genomic findings.
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Affiliation(s)
- Kenji Matsui
- Division of Bioethics and Healthcare Law, The Institute for Cancer Control, The National Cancer Center Japan, Tsukiji 5-1-1, Chuo-ku, Tokyo, 104-0045, Japan.
| | - Keiichiro Yamamoto
- Office of Bioethics, The Center for Clinical Sciences, The National Center for Global Health and Medicine, Tokyo, Japan
| | - Shimon Tashiro
- Department of Sociology, Graduate School of Arts and Letters, Tohoku University, Sendai, Japan
| | - Tomohide Ibuki
- Institute of Arts and Sciences, Tokyo University of Science, Noda-shi, Japan
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The complexity of diagnosing rare disease: An organizing framework for outcomes research and health economics based on real-world evidence. Genet Med 2021; 24:694-702. [PMID: 34906497 DOI: 10.1016/j.gim.2021.11.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Accepted: 11/05/2021] [Indexed: 11/23/2022] Open
Abstract
PURPOSE To facilitate robust economic analyses of clinical exome and genome sequencing, this study was taken up with the objective of establishing a framework for organizing diagnostic testing trajectories for patients with rare disease. METHODS We collected diagnostic investigations-related data before exome sequencing from the medical records of 228 cases. Medical geneticist experts participated in a consensus building process to develop the SOLVE Framework for organizing the complex range of observed tests. Experts categorized tests as indicator or nonindicator tests on the basis of their specificity for diagnosing rare diseases. Face validity was assessed using case vignettes. RESULTS Most cases had symptom onset at birth (42.5%) or during childhood (43.4%) and had intellectual disability (73.3%). On average, the time spent seeking a diagnosis before sequencing was 1989 days (SD = 2137) and included 16 tests (SD = 14). Agreement across experts on test categories ranged from 83% to 96%. The SOLVE Framework comprised observed tests, including 186 indicator and 39 nonindicator tests across cytogenetic/molecular, biochemical, imaging, electrical, and pathology test categories. CONCLUSION Real-world diagnostic testing data can be ascertained and organized to reflect the complexity of the journey of the patients with rare diseases. SOLVE Framework will improve the accuracy and certainty associated with value-based assessments of genomic sequencing.
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