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Zukin E, Culver JO, Liu Y, Yang Y, Ricker CN, Hodan R, Sturgeon D, Kingham K, Chun NM, Rowe-Teeter C, Singh K, Zell JA, Ladabaum U, McDonnell KJ, Ford JM, Parmigiani G, Braun D, Kurian AW, Gruber SB, Idos GE. Clinical implications of conflicting variant interpretations in the cancer genetics clinic. Genet Med 2023; 25:100837. [PMID: 37057674 PMCID: PMC10416421 DOI: 10.1016/j.gim.2023.100837] [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: 10/18/2022] [Revised: 04/03/2023] [Accepted: 04/05/2023] [Indexed: 04/15/2023] Open
Abstract
PURPOSE The aim of this study was to describe the clinical impact of commercial laboratories issuing conflicting classifications of genetic variants. METHODS Results from 2000 patients undergoing a multigene hereditary cancer panel by a single laboratory were analyzed. Clinically significant discrepancies between the laboratory-provided test reports and other major commercial laboratories were identified, including differences between pathogenic/likely pathogenic and variant of uncertain significance (VUS) classifications, via review of ClinVar archives. For patients carrying a VUS, clinical documentation was assessed for evidence of provider awareness of the conflict. RESULTS Fifty of 975 (5.1%) patients with non-negative results carried a variant with a clinically significant conflict, 19 with a pathogenic/likely pathogenic variant reported in APC or MUTYH, and 31 with a VUS reported in CDKN2A, CHEK2, MLH1, MSH2, MUTYH, RAD51C, or TP53. Only 10 of 28 (36%) patients with a VUS with a clinically significant conflict had a documented discussion by a provider about the conflict. Discrepant counseling strategies were used for different patients with the same variant. Among patients with a CDKN2A variant or a monoallelic MUTYH variant, providers were significantly more likely to make recommendations based on the laboratory-reported classification. CONCLUSION Our findings highlight the frequency of variant interpretation discrepancies and importance of clinician awareness. Guidance is needed on managing patients with discrepant variants to support accurate risk assessment.
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Affiliation(s)
- Elyssa Zukin
- City of Hope National Medical Center, Center for Precision Medicine, Duarte, CA; University of California, Irvine, Irvine, CA
| | - Julie O Culver
- University of Southern California, Keck School of Medicine, Los Angeles, CA
| | - Yuxi Liu
- Dana-Farber Cancer Institute, Boston, MA; Harvard T.H. Chan School of Public Health, Boston, MA
| | - Yunqi Yang
- Dana-Farber Cancer Institute, Boston, MA
| | - Charité N Ricker
- University of Southern California, Keck School of Medicine, Los Angeles, CA
| | - Rachel Hodan
- Stanford University School of Medicine, Stanford, CA
| | - Duveen Sturgeon
- City of Hope National Medical Center, Center for Precision Medicine, Duarte, CA
| | - Kerry Kingham
- Stanford University School of Medicine, Stanford, CA
| | | | | | | | | | - Uri Ladabaum
- Stanford University School of Medicine, Stanford, CA
| | - Kevin J McDonnell
- City of Hope National Medical Center, Center for Precision Medicine, Duarte, CA
| | - James M Ford
- Stanford University School of Medicine, Stanford, CA
| | - Giovanni Parmigiani
- Dana-Farber Cancer Institute, Boston, MA; Harvard T.H. Chan School of Public Health, Boston, MA
| | - Danielle Braun
- Dana-Farber Cancer Institute, Boston, MA; Harvard T.H. Chan School of Public Health, Boston, MA
| | | | - Stephen B Gruber
- City of Hope National Medical Center, Center for Precision Medicine, Duarte, CA
| | - Gregory E Idos
- City of Hope National Medical Center, Center for Precision Medicine, Duarte, CA.
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2
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Kelly KL, Lin PT, Basso C, Bois M, Buja LM, Cohle SD, d'Amati G, Duncanson E, Fallon JT, Firchau D, Fishbein G, Giordano C, Leduc C, Litovsky SH, Mackey-Bojack S, Maleszewski JJ, Michaud K, Padera RF, Papadodima SA, Parsons S, Radio SJ, Rizzo S, Roe SJ, Romero M, Sheppard MN, Stone JR, Tan CD, Thiene G, van der Wal AC, Veinot JP. Sudden cardiac death in the young: A consensus statement on recommended practices for cardiac examination by pathologists from the Society for Cardiovascular Pathology. Cardiovasc Pathol 2023; 63:107497. [PMID: 36375720 DOI: 10.1016/j.carpath.2022.107497] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 11/03/2022] [Accepted: 11/04/2022] [Indexed: 11/13/2022] Open
Abstract
Sudden cardiac death is, by definition, an unexpected, untimely death caused by a cardiac condition in a person with known or unknown heart disease. This major international public health problem accounts for approximately 15-20% of all deaths. Typically more common in older adults with acquired heart disease, SCD also can occur in the young where the cause is more likely to be a genetically transmitted process. As these inherited disease processes can affect multiple family members, it is critical that these deaths are appropriately and thoroughly investigated. Across the United States, SCD cases in those less than 40 years of age will often fall under medical examiner/coroner jurisdiction resulting in scene investigation, review of available medical records and a complete autopsy including toxicological and histological studies. To date, there have not been consistent or uniform guidelines for cardiac examination in these cases. In addition, many medical examiner/coroner offices are understaffed and/or underfunded, both of which may hamper specialized examinations or studies (e.g., molecular testing). Use of such guidelines by pathologists in cases of SCD in decedents aged 1-39 years of age could result in life-saving medical intervention for other family members. These recommendations also may provide support for underfunded offices to argue for the significance of this specialized testing. As cardiac examinations in the setting of SCD in the young fall under ME/C jurisdiction, this consensus paper has been developed with members of the Society of Cardiovascular Pathology working with cardiovascular pathology-trained, practicing forensic pathologists.
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Affiliation(s)
| | | | - Cristina Basso
- Department of Cardiac, Thoracic, Vascular Sciences and Public Health - University of Padua, Padua, Italy
| | | | | | | | | | - Emily Duncanson
- Jesse E. Edwards Registry of Cardiovascular Disease, St. Paul, MN, USA
| | | | | | | | | | | | | | | | | | - Katarzyna Michaud
- University Center of Legal Medicine Lausanne - Geneva, Lausanne University Hospital and University of Lausanne, Switzerland
| | | | | | - Sarah Parsons
- Victorian Institute of Forensic Medicine, Melbourne, Australia
| | | | - Stefania Rizzo
- Department of Cardiac, Thoracic, Vascular Sciences and Public Health - University of Padua, Padua, Italy
| | | | | | - Mary N Sheppard
- St. George's Medical School, University of London, London, United Kingdom
| | | | | | - Gaetano Thiene
- Department of Cardiac, Thoracic, Vascular Sciences and Public Health - University of Padua, Padua, Italy
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How Clinicians Conceptualize "Actionability" in Genomic Screening. J Pers Med 2023; 13:jpm13020290. [PMID: 36836524 PMCID: PMC9959215 DOI: 10.3390/jpm13020290] [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: 12/21/2022] [Revised: 01/13/2023] [Accepted: 02/02/2023] [Indexed: 02/08/2023] Open
Abstract
Over the last decade, the concept of actionability has become a primary framework for assessing whether genetic data is useful and appropriate to return to patients. Despite the popularity of this concept, there is little consensus about what should count as "actionable" information. This is particularly true in population genomic screening, where there is considerable disagreement about what counts as good evidence and which clinical actions are appropriate for which patients. The pathway from scientific evidence to clinical action is not straightforward-it is as much social and political as it is scientific. This research explores the social dynamics shaping the integration of "actionable" genomic data into primary care settings. Based on semi-structured interviews with 35 genetics experts and primary care providers, we find that clinicians vary in how they define and operationalize "actionable" information. There are two main sources of disagreement. First, clinicians differ on the levels and types of evidence required for a result to be actionable, such as when we can be confident that genomic data provides accurate information. Second, there are disagreements about the clinical actions that must be available so that patients can benefit from that information. By highlighting the underlying values and assumptions embedded in discussions of actionability for genomic screening, we provide an empirical basis for building more nuanced policies regarding the actionability of genomic data in terms of population screening in primary care settings.
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4
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Culver JO, Freiberg Y, Ricker C, Comeaux JG, Chang EY, Banerjee V, Sturgeon D, Solomon I, Kagey J, Dobre MG, Carey J, Carr A, Cho S, Lu J, Kang IM, Patel K, Terando A, Ye JC, Li M, Lerman C, Spicer D, Nelson M. Integration of Universal Germline Genetic Testing for All New Breast Cancer Patients. Ann Surg Oncol 2023; 30:1017-1025. [PMID: 36161375 PMCID: PMC9512964 DOI: 10.1245/s10434-022-12595-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 09/09/2022] [Indexed: 01/10/2023]
Abstract
BACKGROUND The American Society of Breast Surgeons recommends genetic testing (GT) for all women with breast cancer (BC), but implementation and uptake of GT has not been well-described. METHODS A retrospective chart review was performed for newly diagnosed BC patients or patients with a newly identified recurrence of BC seen in a multidisciplinary clinic (MDBC) who were offered genetic counseling (GC) and GT. RESULTS The 138 women attending the MDBC had a median age of 54 years and comprised non-Hispanic whites (46%), Asians (28%), Hispanics (17%), blacks (4%), and other (5%). Of the 105 (76%) patients without prior GT, 100 (95%) accepted GC, with 93 (93%) of these 100 patients undergoing GT. The patients meeting the National Comprehensive Cancer Network (NCCN) guidelines for GT were more likely to undergo GT. Testing was performed with a 67- to 84-gene panel, together with an 8- to 9-gene STAT panel if needed. Among 120 patients with reports available, including 33 patients previously tested, 15 (12%) were positive (1 BLM, 1 BRCA1, 3 BRCA2, 1 BRIP1, 1 CFTR, 1 CHEK2, 1 MUTYH, 1 PALB2, 1 PRSS1, 1 RAD50, 1 RET, and 2 TP53), 44 (37%) were negative, and 61 (51%) had an uncertain variant. The median time to STAT results (n = 50) was 8 days. The STAT results were available before surgery for 47 (98%) of the 48 STAT patients undergoing surgery. CONCLUSIONS New BC patients attending the MDBC demonstrated high rates of acceptance of GC and GT. The combination of GC and GT can offer timely information critical to patient risk assessment and treatment planning.
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Affiliation(s)
- Julie O. Culver
- USC Norris Comprehensive Cancer Center and Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | - Yael Freiberg
- USC Norris Comprehensive Cancer Center and Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | - Charité Ricker
- USC Norris Comprehensive Cancer Center and Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | - Jacob G. Comeaux
- USC Norris Comprehensive Cancer Center and Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | - Emmeline Y. Chang
- USC Norris Comprehensive Cancer Center and Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | - Victoria Banerjee
- USC Norris Comprehensive Cancer Center and Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | | | - Ilana Solomon
- Center for Precision Medicine, City of Hope, Duarte, CA USA
| | - Josie Kagey
- USC Norris Comprehensive Cancer Center and Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | - Mariana G. Dobre
- USC Norris Comprehensive Cancer Center and Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | - Joseph Carey
- USC Norris Comprehensive Cancer Center and Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | - Azadeh Carr
- USC Norris Comprehensive Cancer Center and Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | - Stephanie Cho
- USC Norris Comprehensive Cancer Center and Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | - Janice Lu
- USC Norris Comprehensive Cancer Center and Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | - Irene M. Kang
- USC Norris Comprehensive Cancer Center and Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | - Ketan Patel
- USC Norris Comprehensive Cancer Center and Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | - Alicia Terando
- USC Norris Comprehensive Cancer Center and Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | - Jason C. Ye
- USC Norris Comprehensive Cancer Center and Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | - Ming Li
- USC Norris Comprehensive Cancer Center and Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | - Caryn Lerman
- USC Norris Comprehensive Cancer Center and Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | - Darcy Spicer
- USC Norris Comprehensive Cancer Center and Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | - Maria Nelson
- USC Norris Comprehensive Cancer Center and Keck School of Medicine, University of Southern California, Los Angeles, CA USA
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5
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Rahman B, Lamb A, Protheroe A, Shah K, Solomons J, Williams J, Ormondroyd E. Genomic sequencing in oncology: Considerations for integration in routine cancer care. Eur J Cancer Care (Engl) 2022; 31:e13584. [PMID: 35383404 PMCID: PMC9285419 DOI: 10.1111/ecc.13584] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 12/15/2021] [Accepted: 03/28/2022] [Indexed: 11/30/2022]
Affiliation(s)
- Belinda Rahman
- Radcliffe Department of MedicineUniversity of OxfordOxfordUK
- NIHR Oxford Biomedical Research Centre, John Radcliffe HospitalOxford University Hospitals NHS Foundation TrustOxfordUK
| | - Alastair Lamb
- Nuffield Department of Surgical SciencesUniversity of OxfordOxfordUK
- Department of UrologyOxford University Hospitals NHS Foundation TrustOxfordUK
| | - Andrew Protheroe
- Oxford Cancer and Haematology CentreOxford University Hospitals NHS Foundation TrustOxfordUK
- Department of OncologyUniversity of OxfordOxfordUK
| | - Ketan Shah
- Oxford Cancer and Haematology CentreOxford University Hospitals NHS Foundation TrustOxfordUK
- Department of OncologyUniversity of OxfordOxfordUK
| | - Joyce Solomons
- Oxford Centre for Genomic MedicineOxford University Hospitals NHS Foundation TrustOxfordUK
| | - Jonathan Williams
- Oxford Medical Genetics LaboratoriesOxford University Hospitals NHS Foundation TrustOxfordUK
| | - Elizabeth Ormondroyd
- Radcliffe Department of MedicineUniversity of OxfordOxfordUK
- NIHR Oxford Biomedical Research Centre, John Radcliffe HospitalOxford University Hospitals NHS Foundation TrustOxfordUK
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6
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Zhang K, Lin G, Han D, Han Y, Peng R, Li J. Adaptation of ACMG-ClinGen Technical Standards for Copy Number Variant Interpretation Concordance. Front Genet 2022; 13:829728. [PMID: 35360839 PMCID: PMC8960312 DOI: 10.3389/fgene.2022.829728] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 01/24/2022] [Indexed: 12/18/2022] Open
Abstract
This study aimed to evaluate inter-laboratory classification concordance for copy number variants (CNVs) with a semiquantitative point-based scoring metric recommended by the American College of Medical Genetics and Genomics (ACMG) and Clinical Genome Resources (ClinGen). A total of 234 CNVs distributed by the National Center of Clinical Laboratories (NCCLs), and 72 CNVs submitted by different laboratories, were distributed to nine clinical laboratories performing routine clinical CNV testing in China and independently classified across laboratories. The overall inter-laboratory complete classification concordance rate of the 234 distributed CNVs increased from 18% (41/234) to 76% (177/234) using the scoring metric compared to the laboratory's previous method. The overall inter-laboratory complete classification concordance rate of the 72 submitted CNVs was 65% (47/72) using the scoring metrics. The 82 variants that initially did not reach complete concordance classification and 1 additional CNV deletion were reviewed; 34 reached complete agreement, and the overall post-review complete concordance rate was 85% (260/306). Additionally, the overall percentage of classification discordance possibly impacting medical management [i.e., pathogenic (P) or likely pathogenic (LP) vs. variant of uncertain significance (VUS)] was 11% (35/306). The causes of initial and final discordance in the classification were identified. The ACMG-ClinGen framework has promoted consistency in interpreting the clinical significance of CNVs. Continuous training among laboratories, further criteria and additional clarification of the standards, sharing classifications and supporting evidence through public database, and ongoing work for dosage sensitive genes/regions curation will be beneficial for harmonization of CNVs classification.
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7
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Ganguly P, Madonsela L, Chao JT, Loewen CJR, O’Connor TP, Verheyen EM, Allan DW. A scalable Drosophila assay for clinical interpretation of human PTEN variants in suppression of PI3K/AKT induced cellular proliferation. PLoS Genet 2021; 17:e1009774. [PMID: 34492006 PMCID: PMC8448351 DOI: 10.1371/journal.pgen.1009774] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 09/17/2021] [Accepted: 08/10/2021] [Indexed: 12/28/2022] Open
Abstract
Gene variant discovery is becoming routine, but it remains difficult to usefully interpret the functional consequence or disease relevance of most variants. To fill this interpretation gap, experimental assays of variant function are becoming common place. Yet, it remains challenging to make these assays reproducible, scalable to high numbers of variants, and capable of assessing defined gene-disease mechanism for clinical interpretation aligned to the ClinGen Sequence Variant Interpretation (SVI) Working Group guidelines for 'well-established assays'. Drosophila melanogaster offers great potential as an assay platform, but was untested for high numbers of human variants adherent to these guidelines. Here, we wished to test the utility of Drosophila as a platform for scalable well-established assays. We took a genetic interaction approach to test the function of ~100 human PTEN variants in cancer-relevant suppression of PI3K/AKT signaling in cellular growth and proliferation. We validated the assay using biochemically characterized PTEN mutants as well as 23 total known pathogenic and benign PTEN variants, all of which the assay correctly assigned into predicted functional categories. Additionally, function calls for these variants correlated very well with our recent published data from a human cell line. Finally, using these pathogenic and benign variants to calibrate the assay, we could set readout thresholds for clinical interpretation of the pathogenicity of 70 other PTEN variants. Overall, we demonstrate that Drosophila offers a powerful assay platform for clinical variant interpretation, that can be used in conjunction with other well-established assays, to increase confidence in the accurate assessment of variant function and pathogenicity.
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Affiliation(s)
- Payel Ganguly
- Department of Cellular and Physiological Sciences, Life Sciences Institute, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, British Columbia, Canada
| | - Landiso Madonsela
- Department of Molecular Biology and Biochemistry, Centre for Cell Biology, Development and Disease, Simon Fraser University, Burnaby, British Columbia, Canada
| | - Jesse T. Chao
- Department of Cellular and Physiological Sciences, Life Sciences Institute, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, British Columbia, Canada
| | - Christopher J. R. Loewen
- Department of Cellular and Physiological Sciences, Life Sciences Institute, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, British Columbia, Canada
| | - Timothy P. O’Connor
- Department of Cellular and Physiological Sciences, Life Sciences Institute, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, British Columbia, Canada
| | - Esther M. Verheyen
- Department of Molecular Biology and Biochemistry, Centre for Cell Biology, Development and Disease, Simon Fraser University, Burnaby, British Columbia, Canada
| | - Douglas W. Allan
- Department of Cellular and Physiological Sciences, Life Sciences Institute, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, British Columbia, Canada
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8
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Berrios C, Hurley EA, Willig L, Thiffault I, Saunders C, Pastinen T, Goggin K, Farrow E. Challenges in genetic testing: clinician variant interpretation processes and the impact on clinical care. Genet Med 2021; 23:2289-2299. [PMID: 34257423 DOI: 10.1038/s41436-021-01267-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 06/23/2021] [Accepted: 06/24/2021] [Indexed: 01/24/2023] Open
Abstract
PURPOSE Efforts have been made to standardize laboratory variant interpretation, but clinicians are ultimately tasked with clinical correlation and application of genetic test results in patient care. This study aimed to explore processes clinicians utilize when reviewing and returning genetic test results, and how they impact patient care. METHODS Medical geneticists, genetic counselors, and nongenetics clinicians from two Midwestern states completed surveys (n = 98) and in-depth interviews (n = 29) on practices of reviewing and returning genetic test results. Retrospective chart review (n = 130) examined discordant interpretations and the impact on care. RESULTS Participants reported variable behaviors in both reviewing and returning results based on factors such as confidence, view of role, practice setting, and relationship with the lab. Providers did not report requesting changes to variant classifications from laboratories, but indicated relaying conflicting classifications to patients in some cases. Chart reviews revealed medically impactful differences in interpretation between laboratories and clinicians in 18 (13.8%) records. CONCLUSION Clinician practices for reviewing and integrating genetic test results into patient care vary within and between specialties and impact patient care. Strategies to better incorporate both laboratory and clinician expertise into interpretation of genetic results could result in improved care across providers and settings.
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Affiliation(s)
- Courtney Berrios
- Genomic Medicine Center, Children's Mercy Hospital, Kansas City, MO, USA. .,University of Missouri Kansas City School of Medicine, Kansas City, MO, USA.
| | - Emily A Hurley
- University of Missouri Kansas City School of Medicine, Kansas City, MO, USA.,Health Services and Outcomes Research, Children's Mercy Hospital, Kansas City, MO, USA.,University of Kansas Medical Center, Kansas City, MO, USA
| | - Laurel Willig
- Genomic Medicine Center, Children's Mercy Hospital, Kansas City, MO, USA.,University of Missouri Kansas City School of Medicine, Kansas City, MO, USA.,Nephrology, Children's Mercy Hospital, Kansas City, MO, USA
| | - Isabelle Thiffault
- Genomic Medicine Center, Children's Mercy Hospital, Kansas City, MO, USA.,University of Missouri Kansas City School of Medicine, Kansas City, MO, USA.,Department of Pathology and Laboratory Medicine, Children's Mercy Hospital, Kansas City, MO, USA
| | - Carol Saunders
- Genomic Medicine Center, Children's Mercy Hospital, Kansas City, MO, USA.,University of Missouri Kansas City School of Medicine, Kansas City, MO, USA.,Department of Pathology and Laboratory Medicine, Children's Mercy Hospital, Kansas City, MO, USA
| | - Tomi Pastinen
- Genomic Medicine Center, Children's Mercy Hospital, Kansas City, MO, USA.,University of Missouri Kansas City School of Medicine, Kansas City, MO, USA.,Pediatrics, Children's Mercy Hospital, Kansas City, MO, USA
| | - Kathy Goggin
- University of Missouri Kansas City School of Medicine, Kansas City, MO, USA.,Health Services and Outcomes Research, Children's Mercy Hospital, Kansas City, MO, USA.,University of Missouri Kansas City School of Pharmacy, Kansas City, MO, USA
| | - Emily Farrow
- Genomic Medicine Center, Children's Mercy Hospital, Kansas City, MO, USA.,University of Missouri Kansas City School of Medicine, Kansas City, MO, USA.,Pediatrics, Children's Mercy Hospital, Kansas City, MO, USA
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9
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Brown EE. The genetic counselor's role in management of patients with dyslipidemia. Curr Opin Lipidol 2021; 32:83-88. [PMID: 33492006 DOI: 10.1097/mol.0000000000000732] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
PURPOSE OF REVIEW The role of genetic testing in diagnosis and management of dyslipidemias continues to grow. Consequently, it is increasingly important for patients to have access to clinicians who have expertise in medical genetics and the psychological implications related to this type of testing. Often a lipidologist has had limited training in this regard, and this review explores the role of the genetic counselor to fill this gap. RECENT FINDINGS Genetic counselors are key members of the healthcare team, and their specialized training in medical genetics and counseling allows them to fill this professional knowledge gap within the lipid clinic. SUMMARY With the continued emphasis on precision medicine, the utility of genetic testing for dyslipidemias will continue to grow. This will in turn increase the demand for provider expertise in medical genetics and counseling around these complex issues. Integrating a genetic counselor within the lipid clinic provides an ideal management scenario providing patients and families with access to not only medical information but also emotional support regarding their hereditary condition.
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Affiliation(s)
- Emily E Brown
- Center for Inherited Heart Disease, Division of Cardiology, Johns Hopkins University, Baltimore, Maryland, USA
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10
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Abstract
Neurodevelopmental disorders are the most prevalent chronic medical conditions encountered in pediatric primary care. In addition to identifying appropriate descriptive diagnoses and guiding families to evidence-based treatments and supports, comprehensive care for individuals with neurodevelopmental disorders includes a search for an underlying etiologic diagnosis, primarily through a genetic evaluation. Identification of an underlying genetic etiology can inform prognosis, clarify recurrence risk, shape clinical management, and direct patients and families to condition-specific resources and supports. Here we review the utility of genetic testing in patients with neurodevelopmental disorders and describe the three major testing modalities and their yields - chromosomal microarray, exome sequencing (with/without copy number variant calling), and FMR1 CGG repeat analysis for fragile X syndrome. Given the diagnostic yield of genetic testing and the potential for clinical and personal utility, there is consensus that genetic testing should be offered to all patients with global developmental delay, intellectual disability, and/or autism spectrum disorder. Despite this recommendation, data suggest that a minority of children with autism spectrum disorder and intellectual disability have undergone genetic testing. To address this gap in care, we describe a structured but flexible approach to facilitate integration of genetic testing into clinical practice across pediatric specialties and discuss future considerations for genetic testing in neurodevelopmental disorders to prepare pediatric providers to care for patients with such diagnoses today and tomorrow.
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Affiliation(s)
- Juliann M. Savatt
- Autism & Developmental Medicine Institute, Geisinger, Danville, PA, United States
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11
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Amendola LM, Muenzen K, Biesecker LG, Bowling KM, Cooper GM, Dorschner MO, Driscoll C, Foreman AKM, Golden-Grant K, Greally JM, Hindorff L, Kanavy D, Jobanputra V, Johnston JJ, Kenny EE, McNulty S, Murali P, Ou J, Powell BC, Rehm HL, Rolf B, Roman TS, Van Ziffle J, Guha S, Abhyankar A, Crosslin D, Venner E, Yuan B, Zouk H, Jarvik GP, Jarvik GP. Variant Classification Concordance using the ACMG-AMP Variant Interpretation Guidelines across Nine Genomic Implementation Research Studies. Am J Hum Genet 2020; 107:932-941. [PMID: 33108757 DOI: 10.1016/j.ajhg.2020.09.011] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Accepted: 09/29/2020] [Indexed: 12/31/2022] Open
Abstract
Harmonization of variant pathogenicity classification across laboratories is important for advancing clinical genomics. The two CLIA-accredited Electronic Medical Record and Genomics Network sequencing centers and the six CLIA-accredited laboratories and one research laboratory performing genome or exome sequencing in the Clinical Sequencing Evidence-Generating Research Consortium collaborated to explore current sources of discordance in classification. Eight laboratories each submitted 20 classified variants in the ACMG secondary finding v.2.0 genes. After removing duplicates, each of the 158 variants was annotated and independently classified by two additional laboratories using the ACMG-AMP guidelines. Overall concordance across three laboratories was assessed and discordant variants were reviewed via teleconference and email. The submitted variant set included 28 P/LP variants, 96 VUS, and 34 LB/B variants, mostly in cancer (40%) and cardiac (27%) risk genes. Eighty-six (54%) variants reached complete five-category (i.e., P, LP, VUS, LB, B) concordance, and 17 (11%) had a discordance that could affect clinical recommendations (P/LP versus VUS/LB/B). 21% and 63% of variants submitted as P and LP, respectively, were discordant with VUS. Of the 54 originally discordant variants that underwent further review, 32 reached agreement, for a post-review concordance rate of 84% (118/140 variants). This project provides an updated estimate of variant concordance, identifies considerations for LP classified variants, and highlights ongoing sources of discordance. Continued and increased sharing of variant classifications and evidence across laboratories, and the ongoing work of ClinGen to provide general as well as gene- and disease-specific guidance, will lead to continued increases in concordance.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Gail P Jarvik
- Department of Medicine, Division of Medical Genetics, University of Washington Medical Center, Seattle, WA 98195, USA
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