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Gordon AS, Lee K, Abul-Husn NS, Amendola LM, Brothers K, Chung WK, Gollob MH, Harrison SM, Hershberger RE, Richards CS, Stewart DR, Martin CL, Miller DT. Consideration of disease penetrance in the selection of secondary findings gene-disease pairs: A policy statement of the American College of Medical Genetics and Genomics (ACMG). Genet Med 2024; 26:101142. [PMID: 38819344 PMCID: PMC11227955 DOI: 10.1016/j.gim.2024.101142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Accepted: 04/10/2024] [Indexed: 06/01/2024] Open
Affiliation(s)
- Adam S Gordon
- Department of Pharmacology, Center for Genetic Medicine, Northwestern University, Chicago, IL
| | - Kristy Lee
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Noura S Abul-Husn
- Department of Medicine, Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY; 23andMe, Inc, Sunnyvale, CA
| | | | - Kyle Brothers
- Department of Pediatrics, University of Louisville, Louisville, KY
| | - Wendy K Chung
- Departments of Pediatrics, Boston Children's Hospital and Harvard Medical School, Boston, MA
| | - Michael H Gollob
- Division of Cardiology, Department of Physiology, University of Toronto, Toronto, Ontario, Canada
| | | | - Ray E Hershberger
- Divisions of Human Genetics and Cardiovascular Medicine, Department of Internal Medicine, The Ohio State University, Columbus, OH
| | - C Sue Richards
- Department of Molecular and Medical Genetics, Oregon Health and Science University, Portland, OR
| | - Douglas R Stewart
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | | | - David T Miller
- Division of Genetics and Genomics, Boston Children's Hospital and Harvard Medical School, Boston, MA
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Richardson ME, Holdren M, Brannan T, de la Hoya M, Spurdle AB, Tavtigian SV, Young CC, Zec L, Hiraki S, Anderson MJ, Walker LC, McNulty S, Turnbull C, Tischkowitz M, Schon K, Slavin T, Foulkes WD, Cline M, Monteiro AN, Pesaran T, Couch FJ. Specifications of the ACMG/AMP variant curation guidelines for the analysis of germline ATM sequence variants. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.05.28.24307502. [PMID: 38854136 PMCID: PMC11160822 DOI: 10.1101/2024.05.28.24307502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2024]
Abstract
The ClinGen Hereditary Breast, Ovarian and Pancreatic Cancer (HBOP) Variant Curation Expert Panel (VCEP) is composed of internationally recognized experts in clinical genetics, molecular biology and variant interpretation. This VCEP made specifications for ACMG/AMP guidelines for the ataxia telangiectasia mutated (ATM) gene according to the Food and Drug Administration (FDA)-approved ClinGen protocol. These gene-specific rules for ATM were modified from the American College of Medical Genetics and Association for Molecular Pathology (ACMG/AMP) guidelines and were tested against 33 ATM variants of various types and classifications in a pilot curation phase. The pilot revealed a majority agreement between the HBOP VCEP classifications and the ClinVar-deposited classifications. Six pilot variants had conflicting interpretations in ClinVar and reevaluation with the VCEP's ATM-specific rules resulted in four that were classified as benign, one as likely pathogenic and one as a variant of uncertain significance (VUS) by the VCEP, improving the certainty of interpretations in the public domain. Overall, 28 the 33 pilot variants were not VUS leading to an 85% classification rate. The ClinGen-approved, modified rules demonstrated value for improved interpretation of variants in ATM.
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Affiliation(s)
| | - Megan Holdren
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | | | - Miguel de la Hoya
- Molecular Oncology Laboratory, Hospital Clínico San Carlos, IdISSC, 28040 Madrid, Spain
| | - Amanda B Spurdle
- Population Health, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - Sean V Tavtigian
- Department of Oncological Sciences and Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | | | | | | | | | - Logan C Walker
- Department of Pathology and Biomedical Science, University of Otago, Christchurch, New Zealand
| | - Shannon McNulty
- Department of Pathology and Laboratory Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Clare Turnbull
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - Marc Tischkowitz
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - Katherine Schon
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - Thomas Slavin
- City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | - William D Foulkes
- Departments of Human Genetics, McGill University, Montreal, Quebec, Canada
| | - Melissa Cline
- UC Santa Cruz Genomics Institute, Mail Stop: Genomics, University of California, Santa Cruz, CA, USA
| | - Alvaro N Monteiro
- Department of Cancer Epidemiology, H Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
| | | | - Fergus J Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
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3
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Li S, Hopper JL. Breast Cancer Risk for Women With a TP53 Pathogenic Variant. JCO Precis Oncol 2024; 8:e2400166. [PMID: 38820492 DOI: 10.1200/po.24.00166] [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: 03/13/2024] [Accepted: 04/26/2024] [Indexed: 06/02/2024] Open
Abstract
The article highlights that breast cancer risk for women with TP53 mutations depends on family history.
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Affiliation(s)
- Shuai Li
- Shuai Li, PhD, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, Victoria, Australia, Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia; and John L. Hopper, PhD, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, Victoria, Australia
| | - John L Hopper
- Shuai Li, PhD, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, Victoria, Australia, Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia; and John L. Hopper, PhD, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, Victoria, Australia
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4
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Fortuno C, Spurdle AB, James PA. Reply to S. Li et al. JCO Precis Oncol 2024; 8:e2400270. [PMID: 38820502 DOI: 10.1200/po.24.00270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Accepted: 04/25/2024] [Indexed: 06/02/2024] Open
Affiliation(s)
- Cristina Fortuno
- Cristina Fortuno, PhD, and Amanda B. Spurdle, PhD, Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia; and Paul A. James, MD, PhD, Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, Victoria, Australia, Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
| | - Amanda B Spurdle
- Cristina Fortuno, PhD, and Amanda B. Spurdle, PhD, Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia; and Paul A. James, MD, PhD, Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, Victoria, Australia, Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
| | - Paul A James
- Cristina Fortuno, PhD, and Amanda B. Spurdle, PhD, Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia; and Paul A. James, MD, PhD, Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, Victoria, Australia, Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
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5
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McClellan JC, Li JL, Gao G, Huo D. Expression- and splicing-based multi-tissue transcriptome-wide association studies identified multiple genes for breast cancer by estrogen-receptor status. Breast Cancer Res 2024; 26:51. [PMID: 38515142 PMCID: PMC10958972 DOI: 10.1186/s13058-024-01809-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 03/14/2024] [Indexed: 03/23/2024] Open
Abstract
BACKGROUND Although several transcriptome-wide association studies (TWASs) have been performed to identify genes associated with overall breast cancer (BC) risk, only a few TWAS have explored the differences in estrogen receptor-positive (ER+) and estrogen receptor-negative (ER-) breast cancer. Additionally, these studies were based on gene expression prediction models trained primarily in breast tissue, and they did not account for alternative splicing of genes. METHODS In this study, we utilized two approaches to perform multi-tissue TWASs of breast cancer by ER subtype: (1) an expression-based TWAS that combined TWAS signals for each gene across multiple tissues and (2) a splicing-based TWAS that combined TWAS signals of all excised introns for each gene across tissues. To perform this TWAS, we utilized summary statistics for ER + BC from the Breast Cancer Association Consortium (BCAC) and for ER- BC from a meta-analysis of BCAC and the Consortium of Investigators of Modifiers of BRCA1 and BRCA2 (CIMBA). RESULTS In total, we identified 230 genes in 86 loci that were associated with ER + BC and 66 genes in 29 loci that were associated with ER- BC at a Bonferroni threshold of significance. Of these genes, 2 genes associated with ER + BC at the 1q21.1 locus were located at least 1 Mb from published GWAS hits. For several well-studied tumor suppressor genes such as TP53 and CHEK2 which have historically been thought to impact BC risk through rare, penetrant mutations, we discovered that common variants, which modulate gene expression, may additionally contribute to ER + or ER- etiology. CONCLUSIONS Our study comprehensively examined how differences in common variation contribute to molecular differences between ER + and ER- BC and introduces a novel, splicing-based framework that can be used in future TWAS studies.
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Affiliation(s)
- Julian C McClellan
- Department of Public Health Sciences, University of Chicago, Chicago, IL, 60637, USA
| | - James L Li
- Department of Public Health Sciences, University of Chicago, Chicago, IL, 60637, USA
| | - Guimin Gao
- Department of Public Health Sciences, University of Chicago, Chicago, IL, 60637, USA.
| | - Dezheng Huo
- Department of Public Health Sciences, University of Chicago, Chicago, IL, 60637, USA.
- Section of Hematology & Oncology, Department of Medicine, University of Chicago, Chicago, IL, 60637, USA.
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6
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Taris N, Luporsi E, Osada M, Thiblet M, Mathelin C. [News in breast oncology genetics for female and male population]. GYNECOLOGIE, OBSTETRIQUE, FERTILITE & SENOLOGIE 2024; 52:149-157. [PMID: 38190969 DOI: 10.1016/j.gofs.2023.12.007] [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: 12/30/2023] [Accepted: 12/30/2023] [Indexed: 01/10/2024]
Abstract
OBJECTIVES Breast oncology genetics emerged almost 30 years ago with the discovery of the BRCA1 and BRCA2 genes. The evolution of analytical practices has progressively allowed access to tests whose results now have a considerable impact on the management of both female and male breast cancers. The Sénologie commission of the Collège national des gynécologues et obstétriciens français (CNGOF) asked five specialists in breast surgery, oncology and oncological genetics to draw up a summary of the oncogenetic testing criteria used and the clinical implications for the female and male population of the test results, with or without an identified causal variant. In the case of proven genetic risk, surveillance, risk-reduction strategies, and the specificities of surgical and medical management (with PARP inhibitors in particular) were updated. METHODS This summary was based on national and international guidelines on the monitoring and therapeutic management of genetic risk, and a recent review of the literature covering the last five years. RESULTS Despite successive technical developments, the probability of identifying a causal variant in a situation suggestive of a predisposition to breast and ovarian cancer remains around 10% in France. The risk of breast cancer in women with a causal variant of the BRCA1, BRCA2, PALB2, TP53, CDH1 and PTEN genes is estimated at between 35% and 85% at age 70. The presence of a causal variant in one of these genes is the subject of different recommendations for men and women, concerning both surveillance, the age of onset and imaging modalities of which vary according to the genes involved, and risk-reduction surgery, which is possible for women as soon as their risk level exceeds 30% and remains exceptionally indicated for men. In the case of breast cancer, PARP inhibitors are a promising new class of treatment for BRCA germline mutations. CONCLUSION A discipline resolutely focused on understanding molecular mechanisms, screening and preventive medicine/surgery, oncology genetics is currently also involved in new medical/surgical approaches, the long-term benefits/risks of which will need to be monitored.
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Affiliation(s)
- Nicolas Taris
- Unité de génétique oncologique, ICANS, avenue Albert-Calmette, 67200 Strasbourg, France.
| | - Elisabeth Luporsi
- Service de génétique, hôpital Femme-Mère-Enfant, CHR de Metz-Thionville, Site de Mercy, 1, allée du Château, 57085 Metz cedex, France.
| | - Marine Osada
- Service de chirurgie, ICANS, avenue Albert-Calmette, 67200 Strasbourg, France; CHRU, avenue Molière, 67200 Strasbourg, France.
| | - Marie Thiblet
- Service de chirurgie, ICANS, avenue Albert-Calmette, 67200 Strasbourg, France; CHRU, avenue Molière, 67200 Strasbourg, France.
| | - Carole Mathelin
- Service de chirurgie, ICANS, avenue Albert-Calmette, 67200 Strasbourg, France; CHRU, avenue Molière, 67200 Strasbourg, France.
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7
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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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8
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Fortuno C, Feng BJ, Carroll C, Innella G, Kohlmann W, Lázaro C, Brunet J, Feliubadaló L, Iglesias S, Menéndez M, Teulé A, Ballinger ML, Thomas DM, Campbell A, Field M, Harris M, Kirk J, Pachter N, Poplawski N, Susman R, Tucker K, Wallis M, Williams R, Cops E, Goldgar D, James PA, Spurdle AB. Cancer Risks Associated With TP53 Pathogenic Variants: Maximum Likelihood Analysis of Extended Pedigrees for Diagnosis of First Cancers Beyond the Li-Fraumeni Syndrome Spectrum. JCO Precis Oncol 2024; 8:e2300453. [PMID: 38412388 PMCID: PMC10914239 DOI: 10.1200/po.23.00453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 11/23/2023] [Accepted: 12/21/2023] [Indexed: 02/29/2024] Open
Abstract
PURPOSE Establishing accurate age-related penetrance figures for the broad range of cancer types that occur in individuals harboring a pathogenic germline variant in the TP53 gene is essential to determine the most effective clinical management strategies. These figures also permit optimal use of cosegregation data for classification of TP53 variants of unknown significance. Penetrance estimation can easily be affected by bias from ascertainment criteria, an issue not commonly addressed by previous studies. MATERIALS AND METHODS We performed a maximum likelihood penetrance estimation using full pedigree data from a multicenter study of 146 TP53-positive families, incorporating adjustment for the effect of ascertainment and population-specific background cancer risks. The analysis included pedigrees from Australia, Spain, and United States, with phenotypic information for 4,028 individuals. RESULTS Core Li-Fraumeni syndrome (LFS) cancers (breast cancer, adrenocortical carcinoma, brain cancer, osteosarcoma, and soft tissue sarcoma) had the highest hazard ratios of all cancers analyzed in this study. The analysis also detected a significantly increased lifetime risk for a range of cancers not previously formally associated with TP53 pathogenic variant status, including colorectal, gastric, lung, pancreatic, and ovarian cancers. The cumulative risk of any cancer type by age 50 years was 92.4% (95% CI, 82.2 to 98.3) for females and 59.7% (95% CI, 39.9 to 81.3) for males. Females had a 63.3% (95% CI, 35.6 to 90.1) cumulative risk of developing breast cancer by age 50 years. CONCLUSION The results from maximum likelihood analysis confirm the known high lifetime risk for the core LFS-associated cancer types providing new risk estimates and indicate significantly increased lifetime risks for several additional cancer types. Accurate cancer risk estimates will help refine clinical recommendations for TP53 pathogenic variant carriers and improve TP53 variant classification.
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Affiliation(s)
- Cristina Fortuno
- Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Bing-Jian Feng
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT
| | - Courtney Carroll
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT
| | - Giovanni Innella
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Wendy Kohlmann
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT
| | - Conxi Lázaro
- Hereditary Cancer Program, Catalan Institute of Oncology, L'Hospitalet de Llobregat, Barcelona, Spain
- Hereditary Cancer Program, ONCOBELL, IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Instituto Salud Carlos III, Madrid, Spain
| | - Joan Brunet
- Hereditary Cancer Program, Catalan Institute of Oncology, L'Hospitalet de Llobregat, Barcelona, Spain
- Hereditary Cancer Program, ONCOBELL, IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Instituto Salud Carlos III, Madrid, Spain
- Precision Oncology in Girona, IDIBGI, Girona, Spain
| | - Lidia Feliubadaló
- Hereditary Cancer Program, Catalan Institute of Oncology, L'Hospitalet de Llobregat, Barcelona, Spain
- Hereditary Cancer Program, ONCOBELL, IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Instituto Salud Carlos III, Madrid, Spain
| | - Silvia Iglesias
- Hereditary Cancer Program, Catalan Institute of Oncology, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Mireia Menéndez
- Hereditary Cancer Program, Catalan Institute of Oncology, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Alex Teulé
- Hereditary Cancer Program, Catalan Institute of Oncology, L'Hospitalet de Llobregat, Barcelona, Spain
- Hereditary Cancer Program, ONCOBELL, IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Mandy L. Ballinger
- St Vincent's Clinical School, Faculty of Medicine, University of New South Wales, New South Wales, Australia
- Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia
| | - David M. Thomas
- Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia
- Centre for Molecular Oncology, Faculty of Medicine, University of New South Wales, New South Wales, Australia
| | - Ainsley Campbell
- Department of Clinical Genetics, Austin Health, Melbourne, Victoria, Australia
| | - Mike Field
- Familial Cancer Service, Royal North Shore Hospital, St Leonards, New South Wales, Australia
| | - Marion Harris
- Monash Health Familial Cancer Service, Melbourne, Victoria, Australia
| | - Judy Kirk
- Familial Cancer Service, Crown Princess Mary Cancer Centre, Westmead Hospital, Westmead, New South Wales, Australia
| | - Nicholas Pachter
- Genetic Services of Western Australia, King Edward Memorial Hospital, Perth, Western Australia, Australia
| | - Nicola Poplawski
- Adult Genetics Unit, Royal Adelaide Hospital, Adelaide, South Australia, Australia
- Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia
| | - Rachel Susman
- Genetic Health Queensland, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia
| | - Kathy Tucker
- Hereditary Cancer Clinic, Prince of Wales Hospital, Randwick, New South Wales, Australia
- Prince of Wales Clinical School, UNSW Medicine and Health, UNSW Sydney, Sydney, New South Wales, Australia
| | - Mathew Wallis
- Tasmanian Clinical Genetics Service, Tasmanian Health Service, Royal Hobart Hospital, Hobart, Tasmania, Australia
- School of Medicine and Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Rachel Williams
- Prince of Wales Clinical School, UNSW Medicine and Health, UNSW Sydney, Sydney, New South Wales, Australia
- Prince of Wales Hereditary Cancer Centre, Prince of Wales Hospital, Randwick, New South Wales, Australia
| | - Elisa Cops
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - David Goldgar
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT
| | - kConFab Investigators
- kConFab, Research Department, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
| | - Paul A. James
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
| | - Amanda B. Spurdle
- Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
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Mitchell LA, Jivani K, Young MA, Jacobs C, Willis AM. Systematic review of the uptake and outcomes from returning secondary findings to adult participants in research genomic testing. J Genet Couns 2024. [PMID: 38197527 DOI: 10.1002/jgc4.1865] [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: 06/19/2023] [Revised: 12/06/2023] [Accepted: 12/09/2023] [Indexed: 01/11/2024]
Abstract
The increasing use of genomic sequencing in research means secondary findings (SF) is more frequently detected and becoming a more pressing issue for researchers. This is reflected by the recent publication of multiple guidelines on this issue, calling for researchers to have a plan for managing SF prior to commencing their research. A deeper understanding of participants' experiences and outcomes from receiving SF is needed to ensure that the return of SF is conducted ethically and with adequate support. This review focuses on the uptake and outcomes of receiving actionable SF for research participants. This review included studies from January 2010 to January 2023. Databases searched included Medline, Embase, PsycINFO, and Scopus. Of the 3903 studies identified, 29 were included in the analysis. The uptake of SF ranged between 20% and 97%, and outcomes were categorized into psychological, clinical, lifestyle and behavioral, and family outcomes. The results indicate there is minimal psychological impact from receiving SF. Almost all participants greatly valued receiving SF. These findings highlight considerations for researchers when returning results, including the importance of involving genetic health professionals in consenting, results return process, and ensuring continuity of care by engaging healthcare providers.
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Affiliation(s)
- Lucas A Mitchell
- Clinical Translation and Engagement Platform, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia
- School of Clinical Medicine, St Vincent's Healthcare Clinical Campus, Faculty of Medicine and Health, UNSW Sydney, Sydney, New South Wales, Australia
| | - Karishma Jivani
- Graduate School of Health, University of Technology Sydney, Ultimo, New South Wales, Australia
| | - Mary-Anne Young
- Clinical Translation and Engagement Platform, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia
- School of Clinical Medicine, St Vincent's Healthcare Clinical Campus, Faculty of Medicine and Health, UNSW Sydney, Sydney, New South Wales, Australia
| | - Chris Jacobs
- Graduate School of Health, University of Technology Sydney, Ultimo, New South Wales, Australia
| | - Amanda M Willis
- Clinical Translation and Engagement Platform, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia
- School of Clinical Medicine, St Vincent's Healthcare Clinical Campus, Faculty of Medicine and Health, UNSW Sydney, Sydney, New South Wales, Australia
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10
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Huang Z, Haider Q, Sabir Z, Arshad M, Siddiqui BK, Alam MM. A neural network computational structure for the fractional order breast cancer model. Sci Rep 2023; 13:22756. [PMID: 38123636 PMCID: PMC10733363 DOI: 10.1038/s41598-023-50045-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 12/14/2023] [Indexed: 12/23/2023] Open
Abstract
The current study provides the numerical performances of the fractional kind of breast cancer (FKBC) model, which are based on five different classes including cancer stem cells, healthy cells, tumor cells, excess estrogen, and immune cells. The motive to introduce the fractional order derivatives is to present more precise solutions as compared to integer order. A stochastic computing reliable scheme based on the Levenberg Marquardt backpropagation neural networks (LMBNNS) is proposed to solve three different cases of the fractional order values of the FKBC model. A designed dataset is constructed by using the Adam solver in order to reduce the mean square error by taking the data performances as 9% for both testing and validation, while 82% is used for training. The correctness of the solver is approved through the negligible absolute error and matching of the solutions for each model's case. To validates the accuracy, and consistency of the solver, the performances based on the error histogram, transition state, and regression for solving the FKBC model.
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Affiliation(s)
- Zhenglin Huang
- North China Institute of Computing Technology, Beijing, 100000, China.
| | - Qusain Haider
- Department of Mathematics, University of Gujrat, Gujrat, 50700, Pakistan
- Institute for Numerical and Applied Mathematics, University of Göttingen, 37083, Göttingen, Germany
| | - Zulqurnain Sabir
- Department of Computer Science and Mathematics, Lebanese American University, Beirut, Lebanon
| | - Mubashar Arshad
- Department of Mathematics, University of Gujrat, Gujrat, 50700, Pakistan.
- Institute for Numerical and Applied Mathematics, University of Göttingen, 37083, Göttingen, Germany.
- Department of Mathematics, Abbotabad University Science and Technology, Abbottabad, 22500, Pakistan.
| | - Bushra Khatoon Siddiqui
- Department of Mathematics, COMSATS University Islamabad, Wah Campus, Wah Cantt, 47040, Pakistan
| | - Mohammad Mahtab Alam
- Department of Basic Medical Sciences, College of Applied Medical Science, King Khalid University, 61421, Abha, Saudi Arabia
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11
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Linder JE, Tao R, Chung WK, Kiryluk K, Liu C, Weng C, Connolly JJ, Hakonarson H, Harr M, Leppig KA, Jarvik GP, Veenstra DL, Aufox S, Chisholm RL, Gordon AS, Hoell C, Rasmussen-Torvik LJ, Smith ME, Holm IA, Miller EM, Prows CA, Elskeally O, Kullo IJ, Lee C, Jose S, Manolio TA, Rowley R, Padi-Adjirackor NA, Wilmayani NK, City B, Wei WQ, Wiesner GL, Rahm AK, Williams JL, Williams MS, Peterson JF. Prospective, multi-site study of healthcare utilization after actionable monogenic findings from clinical sequencing. Am J Hum Genet 2023; 110:1950-1958. [PMID: 37883979 PMCID: PMC10645563 DOI: 10.1016/j.ajhg.2023.10.006] [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: 07/05/2023] [Revised: 10/05/2023] [Accepted: 10/08/2023] [Indexed: 10/28/2023] Open
Abstract
As large-scale genomic screening becomes increasingly prevalent, understanding the influence of actionable results on healthcare utilization is key to estimating the potential long-term clinical impact. The eMERGE network sequenced individuals for actionable genes in multiple genetic conditions and returned results to individuals, providers, and the electronic health record. Differences in recommended health services (laboratory, imaging, and procedural testing) delivered within 12 months of return were compared among individuals with pathogenic or likely pathogenic (P/LP) findings to matched individuals with negative findings before and after return of results. Of 16,218 adults, 477 unselected individuals were found to have a monogenic risk for arrhythmia (n = 95), breast cancer (n = 96), cardiomyopathy (n = 95), colorectal cancer (n = 105), or familial hypercholesterolemia (n = 86). Individuals with P/LP results more frequently received services after return (43.8%) compared to before return (25.6%) of results and compared to individuals with negative findings (24.9%; p < 0.0001). The annual cost of qualifying healthcare services increased from an average of $162 before return to $343 after return of results among the P/LP group (p < 0.0001); differences in the negative group were non-significant. The mean difference-in-differences was $149 (p < 0.0001), which describes the increased cost within the P/LP group corrected for cost changes in the negative group. When stratified by individual conditions, significant cost differences were observed for arrhythmia, breast cancer, and cardiomyopathy. In conclusion, less than half of individuals received billed health services after monogenic return, which modestly increased healthcare costs for payors in the year following return.
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Affiliation(s)
- Jodell E Linder
- Vanderbilt University Medical Center, Nashville, TN 37203, USA.
| | - Ran Tao
- Vanderbilt University Medical Center, Nashville, TN 37203, USA
| | | | | | - Cong Liu
- Columbia University, New York, NY 10032, USA
| | | | - John J Connolly
- Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Hakon Hakonarson
- Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Margaret Harr
- Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Kathleen A Leppig
- Genetic Services, Kaiser Permanente of Washington, Seattle, WA 98195, USA
| | - Gail P Jarvik
- University of Washington Medical Center, Departments of Medicine (Medical Genetics) and Genome Sciences, Seattle, WA 98195, USA
| | - David L Veenstra
- University of Washington, Department of Pharmacy, Seattle, WA 98195, USA
| | - Sharon Aufox
- Northwestern University, Center for Genetic Medicine, Chicago, IL 60611, USA
| | - Rex L Chisholm
- Northwestern University, Center for Genetic Medicine, Chicago, IL 60611, USA
| | - Adam S Gordon
- Northwestern University, Center for Genetic Medicine, Chicago, IL 60611, USA
| | - Christin Hoell
- Northwestern University, Center for Genetic Medicine, Chicago, IL 60611, USA
| | | | - Maureen E Smith
- Northwestern University, Center for Genetic Medicine, Chicago, IL 60611, USA
| | | | - Erin M Miller
- Division of Cardiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA; Department of Pediatrics, University of Cincinnati, College of Medicine, Cincinnati, OH, USA
| | - Cynthia A Prows
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA
| | | | | | | | - Sheethal Jose
- National Human Genome Research Institute, Bethesda, MD 20892, USA
| | - Teri A Manolio
- National Human Genome Research Institute, Bethesda, MD 20892, USA
| | - Robb Rowley
- National Human Genome Research Institute, Bethesda, MD 20892, USA
| | | | | | - Brittany City
- Vanderbilt University Medical Center, Nashville, TN 37203, USA
| | - Wei-Qi Wei
- Vanderbilt University Medical Center, Nashville, TN 37203, USA
| | | | | | - Janet L Williams
- Department of Genomic Health, Geisinger, Danville, PA 17822, USA
| | - Marc S Williams
- Department of Genomic Health, Geisinger, Danville, PA 17822, USA
| | - Josh F Peterson
- Vanderbilt University Medical Center, Nashville, TN 37203, USA
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12
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Chevarin M, Alcantara D, Albuisson J, Collonge-Rame MA, Populaire C, Selmani Z, Baurand A, Sawka C, Bertolone G, Callier P, Duffourd Y, Jonveaux P, Bignon YJ, Coupier I, Cornelis F, Cordier C, Mozelle-Nivoix M, Rivière JB, Kuentz P, Thauvin C, Boidot R, Ghiringhelli F, O'Driscoll M, Faivre L, Nambot S. The "extreme phenotype approach" applied to male breast cancer allows the identification of rare variants of ATR as potential breast cancer susceptibility alleles. Oncotarget 2023; 14:111-125. [PMID: 36749285 PMCID: PMC9904323 DOI: 10.18632/oncotarget.28358] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 01/23/2023] [Indexed: 02/08/2023] Open
Abstract
In oncogenetics, some patients could be considered as "extreme phenotypes", such as those with very early onset presentation or multiple primary malignancies, unusually high numbers of cancers of the same spectrum or rare cancer types in the same parental branch. For these cases, a genetic predisposition is very likely, but classical candidate gene panel analyses often and frustratingly remains negative. In the framework of the EX2TRICAN project, exploring unresolved extreme cancer phenotypes, we applied exome sequencing on rare familial cases with male breast cancer, identifying a novel pathogenic variant of ATR (p.Leu1808*). ATR has already been suspected as being a predisposing gene to breast cancer in women. We next identified 3 additional ATR variants in a cohort of both male and female with early onset and familial breast cancers (c.7762-2A>C; c.2078+1G>A; c.1A>G). Further molecular and cellular investigations showed impacts on transcripts for variants affecting splicing sites and reduction of ATR expression and phosphorylation of the ATR substrate CHEK1. This work further demonstrates the interest of an extended genetic analysis such as exome sequencing to identify very rare variants that can play a role in cancer predisposition in extreme phenotype cancer cases unexplained by classical cancer gene panels testing.
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Affiliation(s)
- Martin Chevarin
- Inserm UMR 1231 GAD Génétique des Anomalies du Développement, Université de Bourgogne, Dijon, France
- Unité Fonctionnelle Innovation diagnostique dans les maladies rares, laboratoire de génétique chromosomique et moléculaire, Plateau Technique de Biologie, CHU Dijon Bourgogne, Dijon, France
| | - Diana Alcantara
- Human DNA Damage Response Disorders Group, University of Sussex, Genome Damage and Stability Centre, Brighton, United Kingdom
| | - Juliette Albuisson
- Service d’Oncogénétique, Centre Georges François Leclerc, Dijon, France
- Département de biologie et pathologie des tumeurs, Centre Georges François Leclerc, Dijon, France
| | | | - Céline Populaire
- Oncobiologie Génétique Bioinformatique, PCBio, CHU Besançon, Besançon, France
| | - Zohair Selmani
- Oncobiologie Génétique Bioinformatique, PCBio, CHU Besançon, Besançon, France
| | - Amandine Baurand
- Service d’Oncogénétique, Centre Georges François Leclerc, Dijon, France
- Centre de Génétique et Centre de Référence Maladies Rares Anomalies du Développement de l’Interrégion Est, Hôpital d’Enfants, CHU Dijon Bourgogne, Dijon, France
| | - Caroline Sawka
- Centre de Génétique et Centre de Référence Maladies Rares Anomalies du Développement de l’Interrégion Est, Hôpital d’Enfants, CHU Dijon Bourgogne, Dijon, France
| | - Geoffrey Bertolone
- Centre de Génétique et Centre de Référence Maladies Rares Anomalies du Développement de l’Interrégion Est, Hôpital d’Enfants, CHU Dijon Bourgogne, Dijon, France
| | - Patrick Callier
- Inserm UMR 1231 GAD Génétique des Anomalies du Développement, Université de Bourgogne, Dijon, France
- Unité Fonctionnelle Innovation diagnostique dans les maladies rares, laboratoire de génétique chromosomique et moléculaire, Plateau Technique de Biologie, CHU Dijon Bourgogne, Dijon, France
- Fédération Hospitalo-Universitaire Médecine Translationnelle et Anomalies du Développement (FHU TRANSLAD), CHU Dijon Bourgogne et Université de Bourgogne-Franche Comté, Dijon, France
| | - Yannis Duffourd
- Inserm UMR 1231 GAD Génétique des Anomalies du Développement, Université de Bourgogne, Dijon, France
- Fédération Hospitalo-Universitaire Médecine Translationnelle et Anomalies du Développement (FHU TRANSLAD), CHU Dijon Bourgogne et Université de Bourgogne-Franche Comté, Dijon, France
| | - Philippe Jonveaux
- Laboratoire de Génétique Médicale, INSERM U954, Hôpitaux de Brabois, Vandoeuvre les Nancy, France
| | - Yves-Jean Bignon
- Laboratoire d’Oncologie Moléculaire, Centre Jean Perrin, Clermont-Ferrand, France
| | | | - François Cornelis
- Université Bordeaux, IMB, UMR 5251, Talence, France
- Service d’imagerie diagnostique et interventionnelle de l’adulte, Hôpital Pellegrin, CHU de Bordeaux, France
| | | | | | - Jean-Baptiste Rivière
- Inserm UMR 1231 GAD Génétique des Anomalies du Développement, Université de Bourgogne, Dijon, France
- Centre de Génétique et Centre de Référence Maladies Rares Anomalies du Développement de l’Interrégion Est, Hôpital d’Enfants, CHU Dijon Bourgogne, Dijon, France
- Fédération Hospitalo-Universitaire Médecine Translationnelle et Anomalies du Développement (FHU TRANSLAD), CHU Dijon Bourgogne et Université de Bourgogne-Franche Comté, Dijon, France
| | - Paul Kuentz
- Inserm UMR 1231 GAD Génétique des Anomalies du Développement, Université de Bourgogne, Dijon, France
- Oncobiologie Génétique Bioinformatique, PCBio, CHU Besançon, Besançon, France
- Fédération Hospitalo-Universitaire Médecine Translationnelle et Anomalies du Développement (FHU TRANSLAD), CHU Dijon Bourgogne et Université de Bourgogne-Franche Comté, Dijon, France
| | - Christel Thauvin
- Inserm UMR 1231 GAD Génétique des Anomalies du Développement, Université de Bourgogne, Dijon, France
- Centre de Génétique et Centre de Référence Maladies Rares Anomalies du Développement de l’Interrégion Est, Hôpital d’Enfants, CHU Dijon Bourgogne, Dijon, France
| | - Romain Boidot
- Département de biologie et pathologie des tumeurs, Centre Georges François Leclerc, Dijon, France
| | - François Ghiringhelli
- Département d’oncologie médicale, INSERM LNC U1231, Centre Georges François Leclerc, Dijon, France
| | - Marc O'Driscoll
- Human DNA Damage Response Disorders Group, University of Sussex, Genome Damage and Stability Centre, Brighton, United Kingdom
| | - Laurence Faivre
- Inserm UMR 1231 GAD Génétique des Anomalies du Développement, Université de Bourgogne, Dijon, France
- Service d’Oncogénétique, Centre Georges François Leclerc, Dijon, France
- Centre de Génétique et Centre de Référence Maladies Rares Anomalies du Développement de l’Interrégion Est, Hôpital d’Enfants, CHU Dijon Bourgogne, Dijon, France
- Fédération Hospitalo-Universitaire Médecine Translationnelle et Anomalies du Développement (FHU TRANSLAD), CHU Dijon Bourgogne et Université de Bourgogne-Franche Comté, Dijon, France
| | - Sophie Nambot
- Inserm UMR 1231 GAD Génétique des Anomalies du Développement, Université de Bourgogne, Dijon, France
- Service d’Oncogénétique, Centre Georges François Leclerc, Dijon, France
- Centre de Génétique et Centre de Référence Maladies Rares Anomalies du Développement de l’Interrégion Est, Hôpital d’Enfants, CHU Dijon Bourgogne, Dijon, France
- Fédération Hospitalo-Universitaire Médecine Translationnelle et Anomalies du Développement (FHU TRANSLAD), CHU Dijon Bourgogne et Université de Bourgogne-Franche Comté, Dijon, France
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13
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Outcomes of Returning Medically Actionable Genomic Results in Pediatric Research. J Pers Med 2022; 12:jpm12111910. [PMID: 36422086 PMCID: PMC9694255 DOI: 10.3390/jpm12111910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 11/07/2022] [Accepted: 11/09/2022] [Indexed: 11/17/2022] Open
Abstract
Purpose: The electronic Medical Records and Genomics (eMERGE) Phase III study was undertaken to assess clinical utility of returning medically actionable genomic screening results. We assessed pediatric clinical outcomes following return of pathogenic/likely pathogenic (P/LP) variants in autosomal dominant conditions with available effective interventions. Methods: The two eMERGE III pediatric sites collected outcome data and assessed changes in medical management at 6 and 12 months. Results: We returned P/LP results to 29 participants with outcome data. For 23 of the 29 participants, the P/LP results were previously unknown. Five of the 23 participants were already followed for conditions related to the P/LP variant. Of those receiving novel results and not being followed for the condition related to the P/LP result (n = 18), 14 (77.8%) had a change in healthcare after return of results (RoR). Following RoR, cascade testing of family members occurred for 10 of 23 (43.5%). Conclusions: The most common outcomes post-RoR included imaging/laboratory testing and health behavior recommendations. A change in healthcare was documented in 77.8% of those receiving results by 6 months. Our findings demonstrate how return of genomic screening results impacts healthcare in pediatric populations.
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14
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Hereditary Cancer Risk Using a Genetic Chatbot Before Routine Care Visits. Obstet Gynecol 2021; 138:860-870. [PMID: 34735417 PMCID: PMC8594498 DOI: 10.1097/aog.0000000000004596] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 09/02/2021] [Indexed: 11/26/2022]
Abstract
A clinical chatbot can be used effectively to perform cancer risk assessment by remotely collecting and analyzing personal and family cancer history before appointments. To examine user uptake and experience with a clinical chatbot that automates hereditary cancer risk triage by collecting personal and family cancer history in routine women's health care settings.
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McNeill A. Comment on: Bi-allelic variants in genes previously associated with dominant inheritance: CACNA1A, RET and SLC20A2. Eur J Hum Genet 2021; 29:1475-1476. [PMID: 34497401 PMCID: PMC8484579 DOI: 10.1038/s41431-021-00958-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Affiliation(s)
- Alisdair McNeill
- grid.11835.3e0000 0004 1936 9262Department of Neuroscience, The University of Sheffield, Sheffield, UK ,grid.413991.70000 0004 0641 6082Sheffield Clinical Genetics Department, Sheffield Children’s Hospital NHS Foundation Trust, Sheffield, UK
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