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Lennon NJ, Kottyan LC, Kachulis C, Abul-Husn NS, Arias J, Belbin G, Below JE, Berndt SI, Chung WK, Cimino JJ, Clayton EW, Connolly JJ, Crosslin DR, Dikilitas O, Velez Edwards DR, Feng Q, Fisher M, Freimuth RR, Ge T, Glessner JT, Gordon AS, Patterson C, Hakonarson H, Harden M, Harr M, Hirschhorn JN, Hoggart C, Hsu L, Irvin MR, Jarvik GP, Karlson EW, Khan A, Khera A, Kiryluk K, Kullo I, Larkin K, Limdi N, Linder JE, Loos RJF, Luo Y, Malolepsza E, Manolio TA, Martin LJ, McCarthy L, McNally EM, Meigs JB, Mersha TB, Mosley JD, Musick A, Namjou B, Pai N, Pesce LL, Peters U, Peterson JF, Prows CA, Puckelwartz MJ, Rehm HL, Roden DM, Rosenthal EA, Rowley R, Sawicki KT, Schaid DJ, Smit RAJ, Smith JL, Smoller JW, Thomas M, Tiwari H, Toledo DM, Vaitinadin NS, Veenstra D, Walunas TL, Wang Z, Wei WQ, Weng C, Wiesner GL, Yin X, Kenny EE. Selection, optimization and validation of ten chronic disease polygenic risk scores for clinical implementation in diverse US populations. Nat Med 2024; 30:480-487. [PMID: 38374346 PMCID: PMC10878968 DOI: 10.1038/s41591-024-02796-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 01/02/2024] [Indexed: 02/21/2024]
Abstract
Polygenic risk scores (PRSs) have improved in predictive performance, but several challenges remain to be addressed before PRSs can be implemented in the clinic, including reduced predictive performance of PRSs in diverse populations, and the interpretation and communication of genetic results to both providers and patients. To address these challenges, the National Human Genome Research Institute-funded Electronic Medical Records and Genomics (eMERGE) Network has developed a framework and pipeline for return of a PRS-based genome-informed risk assessment to 25,000 diverse adults and children as part of a clinical study. From an initial list of 23 conditions, ten were selected for implementation based on PRS performance, medical actionability and potential clinical utility, including cardiometabolic diseases and cancer. Standardized metrics were considered in the selection process, with additional consideration given to strength of evidence in African and Hispanic populations. We then developed a pipeline for clinical PRS implementation (score transfer to a clinical laboratory, validation and verification of score performance), and used genetic ancestry to calibrate PRS mean and variance, utilizing genetically diverse data from 13,475 participants of the All of Us Research Program cohort to train and test model parameters. Finally, we created a framework for regulatory compliance and developed a PRS clinical report for return to providers and for inclusion in an additional genome-informed risk assessment. The initial experience from eMERGE can inform the approach needed to implement PRS-based testing in diverse clinical settings.
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Affiliation(s)
| | - Leah C Kottyan
- Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH, USA
| | | | | | - Josh Arias
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Gillian Belbin
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Sonja I Berndt
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - James J Cimino
- University of Alabama at Birmingham, Birmingham, AL, USA
| | | | | | - David R Crosslin
- Tulane University, New Orleans, LA, USA
- University of Washington, Seattle, WA, USA
| | | | | | - QiPing Feng
- Vanderbilt University Medical Center, Nashville, TN, USA
| | | | | | - Tian Ge
- Mass General Brigham, Boston, MA, USA
| | | | | | | | | | - Maegan Harden
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Margaret Harr
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Joel N Hirschhorn
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Boston Children's Hospital, Boston, MA, USA
| | - Clive Hoggart
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Li Hsu
- Fred Hutchinson Cancer Center, Seattle, WA, USA
| | | | | | | | | | - Amit Khera
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | | | - Katie Larkin
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Nita Limdi
- University of Alabama at Birmingham, Birmingham, AL, USA
| | | | - Ruth J F Loos
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Yuan Luo
- Northwestern University, Evanston, IL, USA
| | | | - Teri A Manolio
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Lisa J Martin
- Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH, USA
| | - Li McCarthy
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | | | - Tesfaye B Mersha
- Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH, USA
| | | | | | - Bahram Namjou
- Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH, USA
| | - Nihal Pai
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | | | | | - Cynthia A Prows
- Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH, USA
| | | | - Heidi L Rehm
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Dan M Roden
- Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Robb Rowley
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | | | | | | | | | | | | | - Hemant Tiwari
- University of Alabama at Birmingham, Birmingham, AL, USA
| | | | | | | | | | - Zhe Wang
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Wei-Qi Wei
- Vanderbilt University Medical Center, Nashville, TN, USA
| | | | | | | | - Eimear E Kenny
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
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2
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Oxnard GR, Chen R, Pharr JC, Koeller DR, Bertram AA, Dahlberg SE, Rainville I, Shane-Carson K, Taylor KA, Sable-Hunt A, Sholl LM, Teerlink CC, Thomas A, Cannon-Albright LA, Fay AP, Ashton-Prolla P, Yang H, Salvatore MM, Addario BJ, Jänne PA, Carbone DP, Wiesner GL, Garber JE. Germline EGFR Mutations and Familial Lung Cancer. J Clin Oncol 2023; 41:5274-5284. [PMID: 37579253 DOI: 10.1200/jco.23.01372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 08/05/2023] [Indexed: 08/16/2023] Open
Abstract
PURPOSE The genomic underpinnings of inherited lung cancer risk are poorly understood. This prospective study characterized the clinical phenotype of patients and families with germline EGFR pathogenic variants (PVs). METHODS The Investigating Hereditary Risk from T790M study (ClinicalTrials.gov identifier: NCT01754025) enrolled patients with lung cancer whose tumor profiling harbored possible germline EGFR PVs and their relatives, either in person or remotely, providing germline testing and follow-up. RESULTS A total of 141 participants were enrolled over a 5-year period, 100 (71%) remotely. Based upon previous genotyping, 116 participants from 59 kindreds were tested for EGFR T790M, demonstrating a pattern of Mendelian inheritance with variable lung cancer penetrance. In confirmed or obligate carriers of a germline EGFR PV from 39 different kindreds, 50/91 (55%) were affected with lung cancer with 34/65 (52%) diagnosed by age 60 years. Somatic testing of lung cancers in carriers revealed that 35 of 37 (95%) had an EGFR driver comutation. Among 36 germline carriers without a cancer diagnosis, 15 had computed tomography (CT) imaging and nine had lung nodules, including a 28-year-old with >10 lung nodules. Given geographic enrichment of germline EGFR T790M in the southeast United States, genome-wide haplotyping of 46 germline carriers was performed and identified a 4.1-Mb haplotype shared by 41 (89%), estimated to originate 223-279 years ago. CONCLUSION To our knowledge, this is the first prospective description of familial EGFR-mutant lung cancer, identifying a recent founder germline EGFR T790M variant enriched in the Southeast United States. The high prevalence of EGFR-driver lung adenocarcinomas and lung nodules in germline carriers supports effort to identify affected patients and family members for investigation of CT-based screening for these high-risk individuals.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | - Alun Thomas
- Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, UT
| | | | - André P Fay
- PUCRS School of Medicine, Porto Alegre, Brazil
| | | | - Hao Yang
- Columbia University Medical Center, New York, NY
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3
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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4
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Bland HT, Gilmore MJ, Andujar J, Martin MA, Celaya-Cobbs N, Edwards C, Gerhart M, Hooker GW, Kraft SA, Marshall DR, Orlando LA, Paul NA, Pratap S, Rosenbloom ST, Wiesner GL, Mittendorf KF. Conducting inclusive research in genetics for transgender, gender-diverse, and sex-diverse individuals: Case analyses and recommendations from a clinical genomics study. J Genet Couns 2023:10.1002/jgc4.1785. [PMID: 37667436 PMCID: PMC10909936 DOI: 10.1002/jgc4.1785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 06/26/2023] [Accepted: 08/23/2023] [Indexed: 09/06/2023]
Abstract
A person's phenotypic sex (i.e., endogenous expression of primary, secondary, and endocrinological sex characteristics) can impact crucial aspects of genetic assessment and resulting clinical care recommendations. In studies with genetics components, it is critical to collect phenotypic sex, information about current organ/tissue inventory and hormonal milieu, and gender identity. If researchers do not carefully construct data models, transgender, gender diverse, and sex diverse (TGSD) individuals may be given inappropriate care recommendations and/or be subjected to misgendering, inflicting medical and psychosocial harms. The recognized need for an inclusive care experience should not be limited to clinical practice but should extend to the research setting, where researchers must build an inclusive experience for TGSD participants. Here, we review three TGSD participants in the Family History and Cancer Risk Study (FOREST) to critically evaluate sex- and gender-related survey measures and associated data models in a study seeking to identify patients at risk for hereditary cancer syndromes. Furthermore, we leverage these participants' responses to sex- and gender identity-related questions in FOREST to inform needed changes to the FOREST data model and to make recommendations for TGSD-inclusive genetics research design, data models, and processes.
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Affiliation(s)
- Harris T. Bland
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN
| | - Marian J. Gilmore
- Department of Translational and Applied Genomics, Center for Health Research, Kaiser Permanente Northwest, Portland, OR
| | - Justin Andujar
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN
| | - Makenna A. Martin
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN
| | - Natasha Celaya-Cobbs
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN
| | - Clasherrol Edwards
- Department of Microbiology, Immunology and Physiology, Meharry Medical College, Nashville TN
| | - Meredith Gerhart
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN
| | - Gillian W. Hooker
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN
- Concert Genetics, Nashville TN
| | - Stephanie A. Kraft
- Treuman Katz Center for Pediatric Bioethics, Seattle Children’s Research Institute, Seattle, WA 98101
- Department of Pediatrics, Bioethics and Palliative Care, University of Washington School of Medicine, Seattle, WA
| | - Dana R. Marshall
- Department of Pathology, Anatomy and Cell Biology, Meharry Medical College, Nashville TN
| | - Lori A. Orlando
- Duke University, Center for Applied Genomics and Precision Medicine, Durham, NC
| | - Natalie A. Paul
- Rainbow Advocacy Inclusion and Networking Services, Longview, WA
- Lavender Spectrum Health, Vancouver, WA
| | - Siddharth Pratap
- Department of Microbiology, Immunology and Physiology, Meharry Medical College, Nashville TN
| | - S. Trent Rosenbloom
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN
| | - Georgia L. Wiesner
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN
- Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN
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5
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Linder JE, Allworth A, Bland HT, Caraballo PJ, Chisholm RL, Clayton EW, Crosslin DR, Dikilitas O, DiVietro A, Esplin ED, Forman S, Freimuth RR, Gordon AS, Green R, Harden MV, Holm IA, Jarvik GP, Karlson EW, Labrecque S, Lennon NJ, Limdi NA, Mittendorf KF, Murphy SN, Orlando L, Prows CA, Rasmussen LV, Rasmussen-Torvik L, Rowley R, Sawicki KT, Schmidlen T, Terek S, Veenstra D, Velez Edwards DR, Absher D, Abul-Husn NS, Alsip J, Bangash H, Beasley M, Below JE, Berner ES, Booth J, Chung WK, Cimino JJ, Connolly J, Davis P, Devine B, Fullerton SM, Guiducci C, Habrat ML, Hain H, Hakonarson H, Harr M, Haverfield E, Hernandez V, Hoell C, Horike-Pyne M, Hripcsak G, Irvin MR, Kachulis C, Karavite D, Kenny EE, Khan A, Kiryluk K, Korf B, Kottyan L, Kullo IJ, Larkin K, Liu C, Malolepsza E, Manolio TA, May T, McNally EM, Mentch F, Miller A, Mooney SD, Murali P, Mutai B, Muthu N, Namjou B, Perez EF, Puckelwartz MJ, Rakhra-Burris T, Roden DM, Rosenthal EA, Saadatagah S, Sabatello M, Schaid DJ, Schultz B, Seabolt L, Shaibi GQ, Sharp RR, Shirts B, Smith ME, Smoller JW, Sterling R, Suckiel SA, Thayer J, Tiwari HK, Trinidad SB, Walunas T, Wei WQ, Wells QS, Weng C, Wiesner GL, Wiley K, Peterson JF. Returning integrated genomic risk and clinical recommendations: The eMERGE study. Genet Med 2023; 25:100006. [PMID: 36621880 PMCID: PMC10085845 DOI: 10.1016/j.gim.2023.100006] [Citation(s) in RCA: 24] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 12/16/2022] [Accepted: 12/21/2022] [Indexed: 01/09/2023] Open
Abstract
PURPOSE Assessing the risk of common, complex diseases requires consideration of clinical risk factors as well as monogenic and polygenic risks, which in turn may be reflected in family history. Returning risks to individuals and providers may influence preventive care or use of prophylactic therapies for those individuals at high genetic risk. METHODS To enable integrated genetic risk assessment, the eMERGE (electronic MEdical Records and GEnomics) network is enrolling 25,000 diverse individuals in a prospective cohort study across 10 sites. The network developed methods to return cross-ancestry polygenic risk scores, monogenic risks, family history, and clinical risk assessments via a genome-informed risk assessment (GIRA) report and will assess uptake of care recommendations after return of results. RESULTS GIRAs include summary care recommendations for 11 conditions, education pages, and clinical laboratory reports. The return of high-risk GIRA to individuals and providers includes guidelines for care and lifestyle recommendations. Assembling the GIRA required infrastructure and workflows for ingesting and presenting content from multiple sources. Recruitment began in February 2022. CONCLUSION Return of a novel report for communicating monogenic, polygenic, and family history-based risk factors will inform the benefits of integrated genetic risk assessment for routine health care.
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Affiliation(s)
- Jodell E Linder
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN
| | - Aimee Allworth
- Division of Medical Genetics, Department of Medicine, University of Washington Medical Center, Seattle, WA
| | - Harris T Bland
- Department of Biomedical Informatics and Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Pedro J Caraballo
- Department of Internal Medicine and Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN
| | - Rex L Chisholm
- Center for Genetic Medicine, Northwestern University, Chicago, IL
| | - Ellen Wright Clayton
- Center for Biomedical Ethics and Society, Vanderbilt University Medical Center, Nashville, TN
| | - David R Crosslin
- Division of Biomedical Informatics and Genomics, John W. Deming Department of Medicine, Tulane University School of Medicine, New Orleans, LA
| | - Ozan Dikilitas
- Mayo Clinician Investigator Training Program, Department of Internal Medicine and Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | - Alanna DiVietro
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN
| | | | - Sophie Forman
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN
| | - Robert R Freimuth
- Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, MN
| | - Adam S Gordon
- Department of Pharmacology, Feinberg School of Medicine, and Center for Genetic Medicine, Northwestern University, Chicago, IL
| | - Richard Green
- Department of Biomedical Informatics and Medical Education, University of Washington Medical Center, Seattle, WA
| | | | - Ingrid A Holm
- Division of Genetics and Genomics and Manton Center for Orphan Diseases Research, Boston Children's Hospital, Department of Pediatrics, Harvard Medical School, Boston, MA
| | - Gail P Jarvik
- Division of Medical Genetics, Department of Medicine and Department of Genome Science, University of Washington Medical Center, Seattle, WA
| | - Elizabeth W Karlson
- Division of Rheumatology, Inflammation and Immunity, Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - Sofia Labrecque
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN
| | | | - Nita A Limdi
- Department of Neurology, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL
| | - Kathleen F Mittendorf
- Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN
| | - Shawn N Murphy
- Department of Neurology, Massachusetts General Hospital, Boston, MA
| | - Lori Orlando
- Center for Applied Genomics and Precision Medicine, Duke University, Durham, NC
| | - Cynthia A Prows
- Divisions of Human Genetics and Patient Services, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Luke V Rasmussen
- Department of Preventive Medicine, Northwestern University, Chicago, IL
| | | | - Robb Rowley
- Division of Genomic Medicine, National Human Genome Research Institute, Bethesda, MD
| | - Konrad Teodor Sawicki
- Department of Cardiology and Center for Genetic Medicine, Northwestern University, Chicago, IL
| | | | - Shannon Terek
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - David Veenstra
- School of Pharmacy, University of Washington, Seattle, WA
| | - Digna R Velez Edwards
- Division of Quantitative Science, Department of Obstetrics and Gynecology, Department of Biomedical Sciences, Vanderbilt University Medical Center, Nashville, TN
| | | | - Noura S Abul-Husn
- Institute for Genomic Health, Department of Medicine, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY
| | | | - Hana Bangash
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | - Mark Beasley
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL
| | - Jennifer E Below
- Division of Genetic Medicine, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN
| | - Eta S Berner
- Department of Health Services Administration, University of Alabama at Birmingham, Birmingham, AL
| | - James Booth
- Department of Emergency Medicine, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL
| | - Wendy K Chung
- Departments of Pediatrics and Medicine, Columbia University Irving Medical Center, Columbia University, New York, NY
| | - James J Cimino
- Division of General Internal Medicine and the Informatics Institute, Department of Medicine, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL
| | - John Connolly
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Patrick Davis
- Department of Biomedical Informatics and Medical Education, University of Washington Medical Center, Seattle, WA
| | - Beth Devine
- School of Pharmacy, University of Washington, Seattle, WA
| | - Stephanie M Fullerton
- Department of Bioethics and Humanities, University of Washington School of Medicine, Seattle, WA
| | | | - Melissa L Habrat
- Department of Biomedical Informatics and Medical Education, University of Washington Medical Center, Seattle, WA
| | - Heather Hain
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Hakon Hakonarson
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Margaret Harr
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA
| | | | | | - Christin Hoell
- Department of Obstetrics & Gynecology and Center for Genetic Medicine, Northwestern University, Chicago, IL
| | - Martha Horike-Pyne
- Division of Medical Genetics, Department of Medicine, University of Washington Medical Center, Seattle, WA
| | - George Hripcsak
- Department of Biomedical Informatics, Columbia University Irving Medical Center, Columbia University, New York, NY
| | - Marguerite R Irvin
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL
| | | | - Dean Karavite
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Eimear E Kenny
- Institute for Genomic Health, Department of Medicine, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Atlas Khan
- Division of Nephrology, Department of Medicine, Columbia University Irving Medical Center, New York, NY
| | - Krzysztof Kiryluk
- Division of Nephrology, Department of Medicine, Columbia University Irving Medical Center, New York, NY
| | - Bruce Korf
- Department of Genetics, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL
| | - Leah Kottyan
- The Center for Autoimmune Genomics and Etiology, Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Iftikhar J Kullo
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | - Katie Larkin
- Broad Institute of MIT and Harvard, Cambridge, MA
| | - Cong Liu
- Department of Biomedical Informatics, Columbia University Irving Medical Center, Columbia University, New York, NY
| | | | - Teri A Manolio
- Division of Genomic Medicine, National Human Genome Research Institute, Bethesda, MD
| | - Thomas May
- Elson S. Floyd College of Medicine, Washington State University, Vancouver, WA
| | | | - Frank Mentch
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Alexandra Miller
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | - Sean D Mooney
- Department of Biomedical Informatics and Medical Education, University of Washington Medical Center, Seattle, WA
| | - Priyanka Murali
- Division of Medical Genetics, Department of Medicine, University of Washington Medical Center, Seattle, WA
| | - Brenda Mutai
- Division of Medical Genetics, Department of Medicine, University of Washington Medical Center, Seattle, WA
| | - Naveen Muthu
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Bahram Namjou
- The Center for Autoimmune Genomics and Etiology, Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Emma F Perez
- Department of Medicine, Brigham and Women's Hospital, Mass General Brigham Personalized Medicine, Boston, MA
| | - Megan J Puckelwartz
- Department of Pharmacology, Feinberg School of Medicine, and Center for Genetic Medicine, Northwestern University, Chicago, IL
| | | | - Dan M Roden
- Departments of Medicine, Pharmacology, and Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN
| | - Elisabeth A Rosenthal
- Division of Medical Genetics, Department of Medicine, University of Washington Medical Center, Seattle, WA
| | | | - Maya Sabatello
- Division of Nephrology, Department of Medicine & Division of Ethics, Department of Medical Humanities and Ethics, Columbia University Irving Medical Center, New York, NY
| | - Dan J Schaid
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN
| | - Baergen Schultz
- Division of Genomic Medicine, National Human Genome Research Institute, Bethesda, MD
| | - Lynn Seabolt
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN
| | - Gabriel Q Shaibi
- Center for Health Promotion and Disease Prevention, Arizona State University, Phoenix, AZ
| | - Richard R Sharp
- Biomedical Ethics Program, Department of Quantitative Health Science, Mayo Clinic, Rochester, MN
| | - Brian Shirts
- Department of Laboratory Medicine & Pathology, University of Washington Medical Center, Seattle, WA
| | - Maureen E Smith
- Department of Cardiology and Center for Genetic Medicine, Northwestern University, Chicago, IL
| | - Jordan W Smoller
- Department of Psychiatry and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
| | - Rene Sterling
- Division of Genomics and Society, National Human Genome Research Institute, Bethesda, MD
| | - Sabrina A Suckiel
- The Institute for Genomic Health, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Jeritt Thayer
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Hemant K Tiwari
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL
| | - Susan B Trinidad
- Department of Bioethics and Humanities, University of Washington School of Medicine, Seattle, WA
| | - Theresa Walunas
- Department of Medicine and Center for Health Information Partnerships, Northwestern University, Chicago, IL
| | - Wei-Qi Wei
- Department of Biomedical Informatics and Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Quinn S Wells
- Division of Cardiovascular Medicine, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN
| | - Chunhua Weng
- Department of Biomedical Informatics, Columbia University Irving Medical Center, Columbia University, New York, NY
| | - Georgia L Wiesner
- Division of Genetic Medicine, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN
| | - Ken Wiley
- Division of Genomic Medicine, National Human Genome Research Institute, Bethesda, MD
| | - Josh F Peterson
- Center for Precision Medicine, Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN.
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Leppig KA, Rahm AK, Appelbaum P, Aufox S, Bland ST, Buchanan A, Christensen KD, Chung WK, Clayton EW, Crosslin D, Denny J, DeVange S, Gordon A, Green RC, Hakonarson H, Harr MH, Henrikson N, Hoell C, Holm IA, Kullo IJ, Jarvik GP, Lammers PE, Larson EB, Lindor NM, Marasa M, Myers MF, Perez E, Peterson JF, Pratap S, Prows CA, Ralston JD, Rasouly HM, Roden DM, Sharp RR, Singh R, Shaibi G, Smith ME, Sturm A, Thiese HA, Van Driest SL, Williams J, Williams MS, Wynn J, Blout Zawatsky CL, Wiesner GL. The Reckoning: The Return of Genomic Results to 1444 Participants Across the eMERGE3 Network. Obstet Gynecol Surv 2022. [DOI: 10.1097/01.ogx.0000899476.28549.ef] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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7
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Zeng C, Wiesner GL, Denny JC. Hereditary Cancer Syndromes-A Broader Clinical Spectrum Than Previously Understood?-Reply. JAMA Oncol 2022; 8:1699. [PMID: 36048450 DOI: 10.1001/jamaoncol.2022.3779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Affiliation(s)
- Chenjie Zeng
- National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland
| | - Georgia L Wiesner
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.,Clinical and Translational Hereditary Cancer Program, Division of Genetic Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University, Nashville, Tennessee
| | - Joshua C Denny
- National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland
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8
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Sherafati A, Elsekaily O, Saadatagah S, Kochan DC, Lee C, Wiesner GL, Liu C, Dellefave-Castillo L, Namjou B, Perez EF, Salvati ZM, Connolly JJ, Hakonarson H, Williams MS, Jarvik GP, Chung WK, McNally EM, Manolio TA, Kullo IJ. Pathogenic variants in arteriopathy genes detected in a targeted sequencing study: Penetrance and 1-year outcomes after return of results. Genet Med 2022; 24:2123-2133. [PMID: 35943490 PMCID: PMC9837827 DOI: 10.1016/j.gim.2022.07.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Revised: 07/04/2022] [Accepted: 07/04/2022] [Indexed: 01/18/2023] Open
Abstract
PURPOSE We estimated the penetrance of pathogenic/likely pathogenic (P/LP) variants in arteriopathy-related genes and assessed near-term outcomes following return of results. METHODS Participants (N = 24,520) in phase III of the Electronic Medical Records and Genomics network underwent targeted sequencing of 68 actionable genes, including 9 genes associated with arterial aneurysmal diseases. Penetrance was estimated on the basis of the presence of relevant clinical traits. Outcomes occurring within 1 year of return of results included new diagnoses, referral to a specialist, new tests ordered, surveillance initiated, and new medications started. RESULTS P/LP variants were present in 34 participants. The average penetrance across genes was 59%, ranging from 86% for FBN1 variants to 25% for SMAD3. Of 16 participants in whom results were returned, 1-year outcomes occurred in 63%. A new diagnosis was made in 44% of the participants, 56% were referred to a specialist, a new test was ordered in 44%, surveillance was initiated in 31%, and a new medication was started in 31%. CONCLUSION Penetrance of P/LP variants in arteriopathy-related genes, identified in a large, targeted sequencing study, was variable and overall lower than that reported in clinical cohorts. Meaningful outcomes within the first year were noted in 63% of participants who received results.
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Affiliation(s)
- Alborz Sherafati
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | - Omar Elsekaily
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | | | - David C Kochan
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | - Christopher Lee
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | - Georgia L Wiesner
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Cong Liu
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY
| | - Lisa Dellefave-Castillo
- Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Bahram Namjou
- Center for Autoimmune Genomics and Etiology (CAGE), Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Emma F Perez
- Department of Medicine, Brigham and Women's Hospital, Boston MA
| | | | - John J Connolly
- The Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Hakon Hakonarson
- The Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA; Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA; Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA; Division of Pulmonary Medicine, Children's Hospital of Philadelphia, Philadelphia, PA
| | | | - Gail P Jarvik
- Division of Medical Genetics, Department of Medicine, University of Washington Medical Center, Seattle, WA; Department of Genome Sciences, University of Washington Medical Center, Seattle, WA
| | - Wendy K Chung
- Department of Pediatrics, Columbia University Irving Medical Center, New York, NY; Department of Medicine, Columbia University Irving Medical Center, New York, NY
| | - Elizabeth M McNally
- Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Teri A Manolio
- Division of Genomic Medicine, National Human Genome Research Institute, Bethesda, MD
| | - Iftikhar J Kullo
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN; Gonda Vascular Center, Mayo Clinic, Rochester, MN.
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9
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Zeng C, Bastarache LA, Tao R, Venner E, Hebbring S, Andujar JD, Bland ST, Crosslin DR, Pratap S, Cooley A, Pacheco JA, Christensen KD, Perez E, Zawatsky CLB, Witkowski L, Zouk H, Weng C, Leppig KA, Sleiman PMA, Hakonarson H, Williams MS, Luo Y, Jarvik GP, Green RC, Chung WK, Gharavi AG, Lennon NJ, Rehm HL, Gibbs RA, Peterson JF, Roden DM, Wiesner GL, Denny JC. Association of Pathogenic Variants in Hereditary Cancer Genes With Multiple Diseases. JAMA Oncol 2022; 8:835-844. [PMID: 35446370 PMCID: PMC9026237 DOI: 10.1001/jamaoncol.2022.0373] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Importance Knowledge about the spectrum of diseases associated with hereditary cancer syndromes may improve disease diagnosis and management for patients and help to identify high-risk individuals. Objective To identify phenotypes associated with hereditary cancer genes through a phenome-wide association study. Design, Setting, and Participants This phenome-wide association study used health data from participants in 3 cohorts. The Electronic Medical Records and Genomics Sequencing (eMERGEseq) data set recruited predominantly healthy individuals from 10 US medical centers from July 16, 2016, through February 18, 2018, with a mean follow-up through electronic health records (EHRs) of 12.7 (7.4) years. The UK Biobank (UKB) cohort recruited participants from March 15, 2006, through August 1, 2010, with a mean (SD) follow-up of 12.4 (1.0) years. The Hereditary Cancer Registry (HCR) recruited patients undergoing clinical genetic testing at Vanderbilt University Medical Center from May 1, 2012, through December 31, 2019, with a mean (SD) follow-up through EHRs of 8.8 (6.5) years. Exposures Germline variants in 23 hereditary cancer genes. Pathogenic and likely pathogenic variants for each gene were aggregated for association analyses. Main Outcomes and Measures Phenotypes in the eMERGEseq and HCR cohorts were derived from the linked EHRs. Phenotypes in UKB were from multiple sources of health-related data. Results A total of 214 020 participants were identified, including 23 544 in eMERGEseq cohort (mean [SD] age, 47.8 [23.7] years; 12 611 women [53.6%]), 187 234 in the UKB cohort (mean [SD] age, 56.7 [8.1] years; 104 055 [55.6%] women), and 3242 in the HCR cohort (mean [SD] age, 52.5 [15.5] years; 2851 [87.9%] women). All 38 established gene-cancer associations were replicated, and 19 new associations were identified. These included the following 7 associations with neoplasms: CHEK2 with leukemia (odds ratio [OR], 3.81 [95% CI, 2.64-5.48]) and plasma cell neoplasms (OR, 3.12 [95% CI, 1.84-5.28]), ATM with gastric cancer (OR, 4.27 [95% CI, 2.35-7.44]) and pancreatic cancer (OR, 4.44 [95% CI, 2.66-7.40]), MUTYH (biallelic) with kidney cancer (OR, 32.28 [95% CI, 6.40-162.73]), MSH6 with bladder cancer (OR, 5.63 [95% CI, 2.75-11.49]), and APC with benign liver/intrahepatic bile duct tumors (OR, 52.01 [95% CI, 14.29-189.29]). The remaining 12 associations with nonneoplastic diseases included BRCA1/2 with ovarian cysts (OR, 3.15 [95% CI, 2.22-4.46] and 3.12 [95% CI, 2.36-4.12], respectively), MEN1 with acute pancreatitis (OR, 33.45 [95% CI, 9.25-121.02]), APC with gastritis and duodenitis (OR, 4.66 [95% CI, 2.61-8.33]), and PTEN with chronic gastritis (OR, 15.68 [95% CI, 6.01-40.92]). Conclusions and Relevance The findings of this genetic association study analyzing the EHRs of 3 large cohorts suggest that these new phenotypes associated with hereditary cancer genes may facilitate early detection and better management of cancers. This study highlights the potential benefits of using EHR data in genomic medicine.
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Affiliation(s)
- Chenjie Zeng
- National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland
| | - Lisa A Bastarache
- Center for Precision Medicine, Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Ran Tao
- Department of Biostatistics, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Eric Venner
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas
| | - Scott Hebbring
- Center for Human Genetics, Marshfield Clinic Research Institute, Marshfield, Wisconsin
| | - Justin D Andujar
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.,Clinical and Translational Hereditary Cancer Program, Division of Genetic Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University, Nashville, Tennessee
| | - Sarah T Bland
- Center for Precision Medicine, Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - David R Crosslin
- Department of Biomedical Informatics and Medical Education, University of Washington School of Medicine, Seattle
| | - Siddharth Pratap
- School of Graduate Studies and Research, Meharry Medical College, Nashville, Tennessee
| | - Ayorinde Cooley
- Department of Microbiology, Immunology and Physiology, Meharry Medical College, Nashville, Tennessee
| | - Jennifer A Pacheco
- Center for Genetic Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Kurt D Christensen
- PRecisiOn Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, Massachusetts.,Department of Population Medicine, Harvard Medical School, Boston, Massachusetts
| | - Emma Perez
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Carrie L Blout Zawatsky
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Leora Witkowski
- Centre Universitaire de Santé McGill, McGill University Health Centre, Montreal, Quebec, Canada
| | - Hana Zouk
- Laboratory for Molecular Medicine, Partners Healthcare Personalized Medicine, Cambridge, Massachusetts.,Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Chunhua Weng
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York
| | - Kathleen A Leppig
- Genetic Services and Kaiser Permanente Washington Health Research Institute, Kaiser Permanente of Washington, Seattle
| | - Patrick M A Sleiman
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.,Division of Human Genetics, Department of Pediatrics, The University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Hakon Hakonarson
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.,Division of Human Genetics, Department of Pediatrics, The University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Marc S Williams
- Genomic Medicine Institute, Geisinger, Danville, Pennsylvania
| | - Yuan Luo
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Gail P Jarvik
- Department of Medicine (Medical Genetics), University of Washington, Seattle.,Department of Genome Sciences, University of Washington, Seattle
| | - Robert C Green
- Brigham and Women's Hospital, Broad Institute, Ariadne Labs and Harvard Medical School, Boston, Massachusetts
| | - Wendy K Chung
- Department of Pediatrics, Columbia University, New York, New York.,Department of Medicine, Columbia University, New York, New York
| | - Ali G Gharavi
- Division of Nephrology, Department of Medicine, Columbia University Irving Medical Center, New York, New York.,Center for Precision Medicine and Genomics, Department of Medicine, Columbia University Irving Medical Center, New York, New York
| | - Niall J Lennon
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Heidi L Rehm
- Medical & Population Genetics Program and Genomics Platform, Broad Institute of MIT and Harvard Cambridge, Cambridge, Massachusetts.,Center for Genomic Medicine, Massachusetts General Hospital, Boston.,Department of Pathology, Harvard Medical School, Boston, Massachusetts
| | - Richard A Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas
| | - Josh F Peterson
- Center for Precision Medicine, Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Dan M Roden
- Center for Precision Medicine, Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee.,Divisions of Cardiovascular Medicine and Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.,Department of Pharmacology, Vanderbilt University, Nashville, Tennessee
| | - Georgia L Wiesner
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.,Clinical and Translational Hereditary Cancer Program, Division of Genetic Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University, Nashville, Tennessee
| | - Joshua C Denny
- National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland
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10
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Wilbur HC, Cobain EF, Wiesner GL, Davis EJ, Chugh R. Multicenter retrospective study of clinical genetic testing in patients with sarcoma. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.10511] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
10511 Background: Sarcomas are rare and diverse malignancies with a subset developing in the context of heritable cancer predisposition syndromes. Data surrounding the frequency of inheritance and patient/genomic findings are limited. We aimed to describe the characteristics of patients with sarcoma referred for clinical genetic testing and to determine the prevalence of pathogenic/likely pathogenic germline variants (PGV/LPGV). Methods: We performed retrospective chart reviews of patients with sarcoma referred to Michigan Medicine Cancer Genetics Clinic between 12/2006 and 1/2020 and Vanderbilt Hereditary Cancer Clinic between 1/2005 and 1/2019. Reviewers obtained medical/family history, cancer phenotype, and results of germline genetic testing. Descriptive analyses were performed to assess the prevalence of germline variants classified as pathogenic/likely pathogenic according to American College of Medical Genetics criteria. Associations with clinical factors were tested for using Fisher’s exact test or Wilcoxon rank-sum test. Results: One-hundred sixteen patients with sarcoma underwent genetic evaluation during a 15-year period. Mean age at time of visit was 46 years (SD, 17.6 years; range, 1-80 years). Sixty-nine patients (59%) were female. The most common reasons for referral were personal history of multiple malignancies (n = 69, 59.4%), first degree relative (FDR) with malignancy (n = 67, 57.7%) and young age at diagnosis (age ≤ 18, n = 18, 15.5%). Forty-eight patients (41.4%) had both a history of multiple malignancies and a FDR with a malignancy. Eight patients had a FDR with sarcoma (6.9%). Of the 110 patients who underwent germline testing, 53 patients (48.2%) had a PGV/LPGV. Identified germline variants and frequencies are listed in the Table. There was no statistical significance between young age at diagnosis, history of personal malignancies, FDR with sarcoma, FDR with one or more malignancies, or multiple FDRs with malignancy and presence of a PGV/LPGV. Conclusions: In this multicenter study, approximately half of patients with sarcoma referred for cancer genetic testing had a PGV/LPGV associated with hereditary predisposition to cancer. There was no identified positive predictive factor for germline variants. Though TP53 was the most common, over 20 genetic variants were identified, supporting the consideration of multigene panel testing. Our study is limited to patients who were both referred to and attended genetic evaluation. Yet, the high frequency of pathogenic germline variants observed highlights the necessity for further investigation of the prevalence of and predictive factors for germline mutations in all sarcoma patients. Identified germline variants. [Table: see text]
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11
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Madden JA, Brothers KK, Williams JL, Myers MF, Leppig KA, Clayton EW, Wiesner GL, Holm IA. Impact of returning unsolicited genomic results to nongenetic health care providers in the eMERGE III Network. Genet Med 2022; 24:1297-1305. [PMID: 35341654 PMCID: PMC9940614 DOI: 10.1016/j.gim.2022.02.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 02/22/2022] [Accepted: 02/28/2022] [Indexed: 10/18/2022] Open
Abstract
PURPOSE As genomic sequencing becomes more common, medically actionable secondary findings will increasingly be returned to health care providers (HCPs), who will be faced with managing the resulting patient care. These findings are generally unsolicited, ie, unrelated to the sequencing indication and/or ordered by another clinician. METHODS To understand the impact of receiving unsolicited results, we interviewed HCPs who received genomic results for patients enrolled in the Electronic Medical Records and Genomics (eMERGE) Phase III Network, which returned results on >100 actionable genes to eMERGE participants and HCPs. RESULTS In total, 16 HCPs across 3 eMERGE sites were interviewed about their experience of receiving a positive (likely pathogenic or pathogenic), negative, or variant of uncertain significance result for a patient enrolled in eMERGE Phase III and about managing their patient on the basis of the result. Although unsolicited, HCPs felt responsible for managing the patient's resulting medical care. HCPs indicated that clinical utility depended on the actionability of results, and whereas comfort levels varied, confidence was improved by the availability of subspecialist consults. HCPs were concerned about patient anxiety, insurability, and missing an actionable result in the electronic health record. CONCLUSION Our findings help inform best practices for return of unsolicited genomic screening findings in the future.
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Affiliation(s)
- Jill A. Madden
- Division of Genetics & Genomics and the Manton Center for Orphan Disease Research, Boston Children’s Hospital, Boston, MA
| | - Kyle K. Brothers
- Department of Pediatrics, School of Medicine, University of Louisville, Louisville, KY
| | | | - Melanie F. Myers
- Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, and College of Medicine, University of Cincinnati, Cincinnati, OH
| | | | - Ellen Wright Clayton
- Center for Biomedical Ethics and Society and Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN
| | - Georgia L. Wiesner
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN
| | - Ingrid A. Holm
- Division of Genetics & Genomics and the Manton Center for Orphan Disease Research, Boston Children’s Hospital, Boston, MA,Department of Pediatrics, Harvard Medical School, Boston, MA,Correspondence and requests for materials should be addressed to Ingrid A. Holm, Division of Genetics and Genomics and the Manton Center for Orphan Disease Research, Boston Children’s Hospital, Boston, MA.
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12
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Jain NM, Schmalz L, Cann C, Holland A, Osterman T, Lang K, Wiesner GL, Pal T, Lovly C, Stricker T, Micheel C, Balko JM, Johnson DB, Park BH, Iams W. Framework for Implementing and Tracking a Molecular Tumor Board at a National Cancer Institute-Designated Comprehensive Cancer Center. Oncologist 2021; 26:e1962-e1970. [PMID: 34390291 PMCID: PMC8571748 DOI: 10.1002/onco.13936] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Accepted: 07/30/2021] [Indexed: 01/28/2023] Open
Abstract
BACKGROUND Over the past few years, tumor next-generation sequencing (NGS) panels have evolved in complexity and have changed from selected gene panels with a handful of genes to larger panels with hundreds of genes, sometimes in combination with paired germline filtering and/or testing. With this move toward increasingly large NGS panels, we have rapidly outgrown the available literature supporting the utility of treatments targeting many reported gene alterations, making it challenging for oncology providers to interpret NGS results and make a therapy recommendation for their patients. METHODS To support the oncologists at Vanderbilt-Ingram Cancer Center (VICC) in interpreting NGS reports for patient care, we initiated two molecular tumor boards (MTBs)-a VICC-specific institutional board for our patients and a global community MTB open to the larger oncology patient population. Core attendees include oncologists, hematologist, molecular pathologists, cancer geneticists, and cancer genetic counselors. Recommendations generated from MTB were documented in a formal report that was uploaded to our electronic health record system. RESULTS As of December 2020, we have discussed over 170 patient cases from 77 unique oncology providers from VICC and its affiliate sites, and a total of 58 international patient cases by 25 unique providers from six different countries across the globe. Breast cancer and lung cancer were the most presented diagnoses. CONCLUSION In this article, we share our learning from the MTB experience and document best practices at our institution. We aim to lay a framework that allows other institutions to recreate MTBs. IMPLICATIONS FOR PRACTICE With the rapid pace of molecularly driven therapies entering the oncology care spectrum, there is a need to create resources that support timely and accurate interpretation of next-generation sequencing reports to guide treatment decision for patients. Molecular tumor boards (MTB) have been created as a response to this knowledge gap. This report shares implementation strategies and best practices from the Vanderbilt experience of creating an institutional MTB and a virtual global MTB for the larger oncology community. This report describe a reproducible framework that can be adopted to initiate MTBs at other institutions.
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Affiliation(s)
- Neha M. Jain
- Vanderbilt‐Ingram Cancer Center, Vanderbilt University Medical CenterNashvilleTennesseeUSA
| | | | - Christopher Cann
- Vanderbilt‐Ingram Cancer Center, Vanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Adara Holland
- Vanderbilt‐Ingram Cancer Center, Vanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Travis Osterman
- Division of Hematology/Oncology, Vanderbilt University Medical CenterNashvilleTennesseeUSA
- Department of Biomedical Informatics, Vanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Katie Lang
- Vanderbilt‐Ingram Cancer Center, Vanderbilt University Medical CenterNashvilleTennesseeUSA
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Georgia L. Wiesner
- Vanderbilt‐Ingram Cancer Center, Vanderbilt University Medical CenterNashvilleTennesseeUSA
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Tuya Pal
- Vanderbilt‐Ingram Cancer Center, Vanderbilt University Medical CenterNashvilleTennesseeUSA
- Division of Hematology/Oncology, Vanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Christine Lovly
- Vanderbilt‐Ingram Cancer Center, Vanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Thomas Stricker
- Vanderbilt‐Ingram Cancer Center, Vanderbilt University Medical CenterNashvilleTennesseeUSA
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Christine Micheel
- Division of Hematology/Oncology, Vanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Justin M. Balko
- Vanderbilt‐Ingram Cancer Center, Vanderbilt University Medical CenterNashvilleTennesseeUSA
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Douglas B. Johnson
- Vanderbilt‐Ingram Cancer Center, Vanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Ben Ho Park
- Vanderbilt‐Ingram Cancer Center, Vanderbilt University Medical CenterNashvilleTennesseeUSA
- Division of Hematology/Oncology, Vanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Wade Iams
- Vanderbilt‐Ingram Cancer Center, Vanderbilt University Medical CenterNashvilleTennesseeUSA
- Division of Hematology/Oncology, Vanderbilt University Medical CenterNashvilleTennesseeUSA
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13
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Wynn J, Milo Rasouly H, Vasquez-Loarte T, Saami AM, Weiss R, Ziniel SI, Appelbaum PS, Wright Clayton E, Christensen KD, Fasel D, Green RC, Hain HS, Harr M, Hoell C, Kullo IJ, Leppig KA, Myers MF, Pacyna JE, Perez EF, Prows CA, Kulchak Rahm A, Campbell-Salome G, Sharp RR, Smith ME, Wiesner GL, Williams JL, Blout Zawatsky CL, Gharavi AG, Chung WK, Holm IA. Do research participants share genomic screening results with family members? J Genet Couns 2021; 31:447-458. [PMID: 34665896 DOI: 10.1002/jgc4.1511] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2021] [Revised: 08/30/2021] [Accepted: 09/04/2021] [Indexed: 01/25/2023]
Abstract
The public health impact of genomic screening can be enhanced by cascade testing. However, cascade testing depends on communication of results to family members. While the barriers and facilitators of family communication have been researched following clinical genetic testing, the factors impacting the dissemination of genomic screening results are unknown. Using the pragmatic Electronic Medical Records and Genomics Network-3 (eMERGE-3) study, we explored the reported sharing practices of participants who underwent genomic screening across the United States. Six eMERGE-3 sites returned genomic screening results for mostly dominant medically actionable disorders and surveyed adult participants regarding communication of results with first-degree relatives. Across the sites, 279 participants completed a 1-month and/or 6-month post-results survey. By 6 months, only 34% of the 156 respondents shared their results with all first-degree relatives and 4% did not share with any. Over a third (39%) first-degree relatives were not notified of the results. Half (53%) of participants who received their results from a genetics provider shared them with all first-degree relatives compared with 11% of participants who received their results from a non-genetics provider. The most frequent reasons for sharing were a feeling of obligation (72%) and that the information could help family members make medical decisions (72%). The most common reasons indicated for not sharing were that the family members were too young (38%), or they were not in contact (25%) or not close to them (25%). These data indicate that the professional returning the results may impact sharing patterns, suggesting that there is a need to continue to educate healthcare providers regarding approaches to facilitate sharing of genetic results within families. Finally, these data suggest that interventions to increase sharing may be universally effective regardless of the origin of the genetic result.
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Affiliation(s)
- Julia Wynn
- Department of Pediatrics, Columbia University Irving Medical Center, New York, NY, USA
| | - Hila Milo Rasouly
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Tania Vasquez-Loarte
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Akilan M Saami
- Department of Pediatrics, Columbia University Irving Medical Center, New York, NY, USA.,Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Robyn Weiss
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Sonja I Ziniel
- Department of Pediatrics, School of Medicine, University of Colorado, Aurora, CO, USA
| | - Paul S Appelbaum
- Department of Psychiatry, Center for Research on Ethical, Legal & Social Implications of Psychiatric, Neurologic & Behavior Genetics, Columbia University Irving Medical Center, New York, NY, USA
| | - Ellen Wright Clayton
- Center for Biomedical Ethics and Society and Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kurt D Christensen
- Department of Population Medicine, Precision Medicine Translational Research (PROMoTeR) Center, Harvard Pilgrim Health Care Institute, Boston, MA, USA.,Department of Population Medicine, Harvard Medical School, Boston, MA, USA
| | - David Fasel
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA
| | - Robert C Green
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Heather S Hain
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Margaret Harr
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Christin Hoell
- Center for Genetic Medicine, Northwestern University, Chicago, IL, USA
| | - Iftikhar J Kullo
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Kathleen A Leppig
- Genetic Services and Kaiser Permanente Washington Health Research Institute, Kaiser Permanente of Washington, Seattle, WA, USA
| | - Melanie F Myers
- Divisions of Human Genetics and Patient Services, Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Joel E Pacyna
- Biomedical Ethics Program, Mayo Clinic, Rochester, MN, USA
| | - Emma F Perez
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Cynthia A Prows
- Divisions of Human Genetics and Patient Services, Children's Hospital Medical Center, Cincinnati, OH, USA
| | | | | | | | - Maureen E Smith
- Center for Genetic Medicine, Northwestern University, Chicago, IL, USA
| | - Georgia L Wiesner
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | | | - Ali G Gharavi
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Wendy K Chung
- Department of Pediatrics, Columbia University Irving Medical Center, New York, NY, USA.,Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Ingrid A Holm
- Division of Genetics and Genomics and the Manton Center for Orphan Diseases Research, Boston Children's Hospital, Boston, MA, USA.,Department of Pediatrics, Harvard Medical School, Boston, MA, USA
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14
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Weiss JM, Gupta S, Burke CA, Axell L, Chen LM, Chung DC, Clayback KM, Dallas S, Felder S, Gbolahan O, Giardiello FM, Grady W, Hall MJ, Hampel H, Hodan R, Idos G, Kanth P, Katona B, Lamps L, Llor X, Lynch PM, Markowitz AJ, Pirzadeh-Miller S, Samadder NJ, Shibata D, Swanson BJ, Szymaniak BM, Wiesner GL, Wolf A, Yurgelun MB, Zakhour M, Darlow SD, Dwyer MA, Campbell M. NCCN Guidelines® Insights: Genetic/Familial High-Risk Assessment: Colorectal, Version 1.2021. J Natl Compr Canc Netw 2021; 19:1122-1132. [PMID: 34666312 DOI: 10.1164/jnccn.2021.0048] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Identifying individuals with hereditary syndromes allows for timely cancer surveillance, opportunities for risk reduction, and syndrome-specific management. Establishing criteria for hereditary cancer risk assessment allows for the identification of individuals who are carriers of pathogenic genetic variants. The NCCN Guidelines for Genetic/Familial High-Risk Assessment: Colorectal provides recommendations for the assessment and management of patients at risk for or diagnosed with high-risk colorectal cancer syndromes. The NCCN Genetic/Familial High-Risk Assessment: Colorectal panel meets annually to evaluate and update their recommendations based on their clinical expertise and new scientific data. These NCCN Guidelines Insights focus on familial adenomatous polyposis (FAP)/attenuated familial adenomatous polyposis (AFAP) syndrome and considerations for management of duodenal neoplasia.
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Affiliation(s)
| | | | - Carol A Burke
- Case Comprehensive Cancer Center/University Hospitals Seidman Cancer Center and Cleveland Clinic Taussig Cancer Institute
| | | | - Lee-May Chen
- UCSF Helen Diller Family Comprehensive Cancer Center
| | | | | | | | | | | | | | - William Grady
- Fred Hutchinson Cancer Research Center/Seattle Cancer Care Alliance
| | | | - Heather Hampel
- The Ohio State University Comprehensive Cancer Center - James Cancer Hospital and Solove Research Institute
| | | | | | | | - Bryson Katona
- Abramson Cancer Center at the University of Pennsylvania
| | | | | | | | | | | | | | - David Shibata
- St. Jude Children's Research Hospital/The University of Tennessee Health Science Center
| | | | | | | | | | | | - Mae Zakhour
- UCLA Jonsson Comprehensive Cancer Center; and
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15
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Eric V, Yi V, Murdock D, Kalla SE, Wu TJ, Sabo A, Li S, Meng Q, Tian X, Murugan M, Cohen M, Kovar C, Wei WQ, Chung WK, Weng C, Wiesner GL, Jarvik GP, Muzny D, Gibbs RA. Neptune: an environment for the delivery of genomic medicine. Genet Med 2021; 23:1838-1846. [PMID: 34257418 PMCID: PMC8487966 DOI: 10.1038/s41436-021-01230-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 05/13/2021] [Indexed: 11/08/2022] Open
Abstract
PURPOSE Genomic medicine holds great promise for improving health care, but integrating searchable and actionable genetic data into electronic health records (EHRs) remains a challenge. Here we describe Neptune, a system for managing the interaction between a clinical laboratory and an EHR system during the clinical reporting process. METHODS We developed Neptune and applied it to two clinical sequencing projects that required report customization, variant reanalysis, and EHR integration. RESULTS Neptune has been applied for the generation and delivery of over 15,000 clinical genomic reports. This work spans two clinical tests based on targeted gene panels that contain 68 and 153 genes respectively. These projects demanded customizable clinical reports that contained a variety of genetic data types including single-nucleotide variants (SNVs), copy-number variants (CNVs), pharmacogenomics, and polygenic risk scores. Two variant reanalysis activities were also supported, highlighting this important workflow. CONCLUSION Methods are needed for delivering structured genetic data to EHRs. This need extends beyond developing data formats to providing infrastructure that manages the reporting process itself. Neptune was successfully applied on two high-throughput clinical sequencing projects to build and deliver clinical reports to EHR systems. The software is open source and available at https://gitlab.com/bcm-hgsc/neptune .
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Affiliation(s)
- Venner Eric
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
| | - Victoria Yi
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - David Murdock
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Sara E Kalla
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Tsung-Jung Wu
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Aniko Sabo
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Shoudong Li
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Qingchang Meng
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Xia Tian
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Mullai Murugan
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Michelle Cohen
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Christie Kovar
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Wei-Qi Wei
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Wendy K Chung
- Departments of Pediatrics and Medicine, Columbia University, New York, NY, USA
| | - Chunhua Weng
- Department of Biomedical Informatics, Columbia University, New York, New York, NY, USA
| | - Georgia L Wiesner
- Division of Genetic Medicine, Department of Internal Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Gail P Jarvik
- Department of Medicine (Medical Genetics), University of Washington School of Medicine, Seattle, WA, USA
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Donna Muzny
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Richard A Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
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16
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Liu C, Zeinomar N, Chung WK, Kiryluk K, Gharavi AG, Hripcsak G, Crew KD, Shang N, Khan A, Fasel D, Manolio TA, Jarvik GP, Rowley R, Justice AE, Rahm AK, Fullerton SM, Smoller JW, Larson EB, Crane PK, Dikilitas O, Wiesner GL, Bick AG, Terry MB, Weng C. Generalizability of Polygenic Risk Scores for Breast Cancer Among Women With European, African, and Latinx Ancestry. JAMA Netw Open 2021; 4:e2119084. [PMID: 34347061 PMCID: PMC8339934 DOI: 10.1001/jamanetworkopen.2021.19084] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
IMPORTANCE Multiple polygenic risk scores (PRSs) for breast cancer have been developed from large research consortia; however, their generalizability to diverse clinical settings is unknown. OBJECTIVE To examine the performance of previously developed breast cancer PRSs in a clinical setting for women of European, African, and Latinx ancestry. DESIGN, SETTING, AND PARTICIPANTS This cohort study using the Electronic Medical Records and Genomics (eMERGE) network data set included 39 591 women from 9 contributing medical centers in the US that had electronic medical records (EMR) linked to genotype data. Breast cancer cases and controls were identified through a validated EMR phenotyping algorithm. MAIN OUTCOMES AND MEASURES Multivariable logistic regression was used to assess the association between breast cancer risk and 7 previously developed PRSs, adjusting for age, study site, breast cancer family history, and first 3 ancestry informative principal components. RESULTS This study included 39 591 women: 33 594 with European, 3801 with African, and 2196 with Latinx ancestry. The mean (SD) age at breast cancer diagnosis was 60.7 (13.0), 58.8 (12.5), and 60.1 (13.0) years for women with European, African, and Latinx ancestry, respectively. PRSs derived from women with European ancestry were associated with breast cancer risk in women with European ancestry (highest odds ratio [OR] per 1-SD increase, 1.46; 95% CI, 1.41-1.51), women with Latinx ancestry (highest OR, 1.31; 95% CI, 1.09-1.58), and women with African ancestry (OR, 1.19; 95% CI, 1.05-1.35). For women with European ancestry, this association with breast cancer risk was largest in the extremes of the PRS distribution, with ORs ranging from 2.19 (95% CI, 1.84-2.53) to 2.48 (95% CI, 1.89-3.25) for the 3 different PRSs examined for those in the highest 1% of the PRS compared with those in the middle quantile. Among women with Latinx and African ancestries at the extremes of the PRS distribution, there were no statistically significant associations. CONCLUSIONS AND RELEVANCE This cohort study found that PRS models derived from women with European ancestry for breast cancer risk generalized well for women with European, Latinx, and African ancestries across different clinical settings, although the effect sizes for women with African ancestry were smaller, likely because of differences in risk allele frequencies and linkage disequilibrium patterns. These results highlight the need to improve representation of diverse population groups, particularly women with African ancestry, in genomic research cohorts.
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Affiliation(s)
- Cong Liu
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York
| | - Nur Zeinomar
- Department of Epidemiology, Columbia University Irving Medical Center, New York, New York
- Division of Medical Oncology, Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, New Brunswick, New Jersey
| | - Wendy K. Chung
- Department of Pediatrics, Columbia University Irving Medical Center, New York, New York
| | - Krzysztof Kiryluk
- Department of Medicine, Columbia University Irving Medical Center, New York, New York
| | - Ali G. Gharavi
- Department of Medicine, Columbia University Irving Medical Center, New York, New York
| | - George Hripcsak
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York
| | - Katherine D. Crew
- Department of Medicine, Columbia University Irving Medical Center, New York, New York
| | - Ning Shang
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York
| | - Atlas Khan
- Department of Medicine, Columbia University Irving Medical Center, New York, New York
| | - David Fasel
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York
| | - Teri A. Manolio
- National Human Genome Research Institute, Bethesda, Maryland
| | - Gail P. Jarvik
- Department of Medicine, University of Washington, Seattle
| | - Robb Rowley
- National Human Genome Research Institute, Bethesda, Maryland
| | - Ann E. Justice
- Department of Population Health Sciences, Geisinger, Danville, Pennsylvania
| | - Alanna K. Rahm
- Genomic Medicine Institute, Geisinger, Danville, Pennsylvania
| | | | - Jordan W. Smoller
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts
| | - Eric B. Larson
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington
| | - Paul K. Crane
- Department of Medicine, University of Washington, Seattle
| | - Ozan Dikilitas
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota
| | - Georgia L. Wiesner
- Department of Medicine, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Alexander G. Bick
- Department of Medicine, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Mary Beth Terry
- Department of Epidemiology, Columbia University Irving Medical Center, New York, New York
| | - Chunhua Weng
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York
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17
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Fan X, Wynn J, Shang N, Liu C, Fedotov A, Hallquist MLG, Buchanan AH, Williams MS, Smith ME, Hoell C, Rasmussen-Torvik LJ, Peterson JF, Wiesner GL, Murad AM, Jarvik GP, Gordon AS, Rosenthal EA, Stanaway IB, Crosslin DR, Larson EB, Leppig KA, Henrikson NB, Williams JL, Li R, Hebbring S, Weng C, Shen Y, Crew KD, Chung WK. Penetrance of Breast Cancer Susceptibility Genes From the eMERGE III Network. JNCI Cancer Spectr 2021; 5:pkab044. [PMID: 34377931 PMCID: PMC8346699 DOI: 10.1093/jncics/pkab044] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Revised: 02/08/2021] [Accepted: 04/22/2021] [Indexed: 01/03/2023] Open
Abstract
Background Unbiased estimates of penetrance are challenging but critically important to make informed choices about strategies for risk management through increased surveillance and risk-reducing interventions. Methods We studied the penetrance and clinical outcomes of 7 breast cancer susceptibility genes (BRCA1, BRCA2, TP53, CHEK2, ATM, PALB2, and PTEN) in almost 13 458 participants unselected for personal or family history of breast cancer. We identified 242 female participants with pathogenic or likely pathogenic variants in 1 of the 7 genes for penetrance analyses, and 147 women did not previously know their genetic results. Results Out of the 147 women, 32 women were diagnosed with breast cancer at an average age of 52.8 years. Estimated penetrance by age 60 years ranged from 17.8% to 43.8%, depending on the gene. In clinical-impact analysis, 42.3% (95% confidence interval = 31.3% to 53.3%) of women had taken actions related to their genetic results, and 2 new breast cancer cases were identified within the first 12 months after genetic results disclosure. Conclusions Our study provides population-based penetrance estimates for the understudied genes CHEK2, ATM, and PALB2 and highlights the importance of using unselected populations for penetrance studies. It also demonstrates the potential clinical impact of genetic testing to improve health care through early diagnosis and preventative screening.
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Affiliation(s)
- Xiao Fan
- Department of Pediatrics, Columbia University Irving Medical Center, New York, NY, USA
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - Julia Wynn
- Department of Pediatrics, Columbia University Irving Medical Center, New York, NY, USA
| | - Ning Shang
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA
| | - Cong Liu
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA
| | - Alexander Fedotov
- Irving Institute for Clinical and Translational Research, Columbia University Irving Medical Center, New York, NY, USA
| | | | | | | | - Maureen E Smith
- Department of Medicine, Northwestern University, Chicago Feinberg School of Medicine, Chicago, IL, USA
| | - Christin Hoell
- Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Laura J Rasmussen-Torvik
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Josh F Peterson
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Georgia L Wiesner
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Andrea M Murad
- Division of Genetic Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Gail P Jarvik
- Department of Medicine (Medical Genetics), University of Washington Medical Center, Seattle, WA, USA
| | - Adam S Gordon
- Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Elisabeth A Rosenthal
- Department of Medicine (Medical Genetics), University of Washington Medical Center, Seattle, WA, USA
| | - Ian B Stanaway
- Department of Medicine (Medical Genetics), University of Washington Medical Center, Seattle, WA, USA
| | - David R Crosslin
- Department of Biomedical Informatics and Medical Education, University of Washington Medical Center, Seattle, WA, USA
| | - Eric B Larson
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Kathleen A Leppig
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Nora B Henrikson
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | | | - Rongling Li
- Division of Genomic Medicine, National Human Genome Research Institute, National Institutes of Health, Baltimore, MD, USA
| | - Scott Hebbring
- Center for Precision Medicine Research, Marshfield Clinic, Marshfield, WI, USA
| | - Chunhua Weng
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA
| | - Yufeng Shen
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA
| | - Katherine D Crew
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Wendy K Chung
- Department of Pediatrics, Columbia University Irving Medical Center, New York, NY, USA
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
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18
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Rao SK, Thomas KA, Singh R, Biltibo E, Lammers PE, Wiesner GL. Increased ease of access to genetic counseling for low-income women with breast cancer using a point of care screening tool. J Community Genet 2021; 12:129-136. [PMID: 33389527 DOI: 10.1007/s12687-020-00499-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2020] [Accepted: 12/08/2020] [Indexed: 11/29/2022] Open
Abstract
Increased access to genetic counseling services is of prime importance in minority and underserved populations where genetic testing is currently underutilized. Our study tested a point of care screening tool to identify high-risk low-income patients for genetic counseling in a busy county hospital oncology clinic. Eligible breast patients treated at a "safety-net" hospital, were scored into 'high-risk' (> or = 6) or 'low-risk' (< 6) groups using a screening tool on personal and family history of cancer. Genetic counseling and testing were provided at the Vanderbilt Hereditary Cancer Program (VHCP) to all 'high-risk' and some 'low-risk' participants considered to need genetic counseling by their oncologist. Ninety-nine women with a history of breast cancer were enrolled onto the study over a period of 26 months. 53.5% (53/99) had a 'high-risk' score and ethnic predominance of African-American (60.4%). Of these, 67.9% (36/53) were counseled, and 91.6% (33/36) tested with a 9% (3/33) mutation positive rate. In the 'low-risk' group, 28.2% (13/46) still met current NCCN guidelines and were referred by their oncologist. 69.2% (9/13) were counseled and tested. The 'low-risk' group of predominantly Caucasian (41.3%) participants carried a 20% (2/10) mutation positive rate; which was later adjusted to 10% to exclude a mutation not conferring a strong breast cancer risk. The screening tool was well accepted by patients; and increased access to genetic counseling. There was a subset of breast cancer affected women under 45 with no reported family history that failed to be identified. Minor alterations to the tool would enhance concordance with current NCCN guidelines.
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Affiliation(s)
- Smita K Rao
- Vanderbilt Clinical and Translational Hereditary Cancer Program, Vanderbilt University Medical Center, Nashville, TN, USA.
| | | | | | | | | | - Georgia L Wiesner
- Vanderbilt Clinical and Translational Hereditary Cancer Program, Vanderbilt University Medical Center, Nashville, TN, USA.,Department of Medicine, Vanderbilt Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
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19
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Cragun D, Weidner A, Tezak A, Zuniga B, Wiesner GL, Pal T. A Web-Based Tool to Automate Portions of Pretest Genetic Counseling for Inherited Cancer. J Natl Compr Canc Netw 2020; 18:841-847. [PMID: 32634774 DOI: 10.6004/jnccn.2020.7546] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Accepted: 02/07/2020] [Indexed: 11/17/2022]
Abstract
BACKGROUND Increasing demand for genetic testing for inherited cancer risk coupled with a shortage of providers trained in genetics highlight the potential for automated tools embedded in the clinic process to meet this demand. We developed and tested a scalable, easy-to-use, 12-minute web-based educational tool that included standard pretest genetic counseling elements related to panel-based testing for multiple genes associated with cancer risk. METHODS The tool was viewed by new patients at the Vanderbilt Hereditary Cancer Clinic before meeting with a board-certified genetics professional. Pre- and post-tool surveys measured knowledge, feeling informed/empowered to decide about testing, attitudinal values about genetic testing, and health literacy. Of the initial 100 participants, 50 were randomized to only have knowledge measured on the post-tool survey to assess for a priming effect. RESULTS Of 360 patients approached, 305 consented and completed both the pre- and post-tool surveys, with a mean age of 47 years, including 80% female patients and 48% patients with cancer. Survey results showed an increase in knowledge and feeling informed/empowered after viewing the tool (P<.001), but no significant change in attitude (P=.64). Post-tool survey data indicated no difference in median knowledge between low and high health literacy groups (P=.30). No priming effect was present among the initial 100 participants (P=.675). CONCLUSIONS Viewing the educational tool resulted in significant gains in knowledge across health literacy levels, and most individuals felt informed and empowered to decide about genetic testing. These findings indicate that the use of an automated pretest genetic counseling tool may help streamline the delivery of genetic services.
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Affiliation(s)
- Deborah Cragun
- 1College of Public Health, University of South Florida, Tampa, Florida; and
| | - Anne Weidner
- 2Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, and
| | - Ann Tezak
- 2Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, and
| | - Brenda Zuniga
- 2Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, and
| | - Georgia L Wiesner
- 2Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, and.,3Vanderbilt-Ingram Cancer Center, Nashville, Tennessee
| | - Tuya Pal
- 2Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, and.,3Vanderbilt-Ingram Cancer Center, Nashville, Tennessee
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20
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Dikilitas O, Schaid DJ, Kosel ML, Carroll RJ, Chute CG, Denny JA, Fedotov A, Feng Q, Hakonarson H, Jarvik GP, Lee MTM, Pacheco JA, Rowley R, Sleiman PM, Stein CM, Sturm AC, Wei WQ, Wiesner GL, Williams MS, Zhang Y, Manolio TA, Kullo IJ. Predictive Utility of Polygenic Risk Scores for Coronary Heart Disease in Three Major Racial and Ethnic Groups. Am J Hum Genet 2020; 106:707-716. [PMID: 32386537 DOI: 10.1016/j.ajhg.2020.04.002] [Citation(s) in RCA: 82] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2019] [Accepted: 03/31/2020] [Indexed: 12/28/2022] Open
Abstract
Because polygenic risk scores (PRSs) for coronary heart disease (CHD) are derived from mainly European ancestry (EA) cohorts, their validity in African ancestry (AA) and Hispanic ethnicity (HE) individuals is unclear. We investigated associations of "restricted" and genome-wide PRSs with CHD in three major racial and ethnic groups in the U.S. The eMERGE cohort (mean age 48 ± 14 years, 58% female) included 45,645 EA, 7,597 AA, and 2,493 HE individuals. We assessed two restricted PRSs (PRSTikkanen and PRSTada; 28 and 50 variants, respectively) and two genome-wide PRSs (PRSmetaGRS and PRSLDPred; 1.7 M and 6.6 M variants, respectively) derived from EA cohorts. Over a median follow-up of 11.1 years, 2,652 incident CHD events occurred. Hazard and odds ratios for the association of PRSs with CHD were similar in EA and HE cohorts but lower in AA cohorts. Genome-wide PRSs were more strongly associated with CHD than restricted PRSs were. PRSmetaGRS, the best performing PRS, was associated with CHD in all three cohorts; hazard ratios (95% CI) per 1 SD increase were 1.53 (1.46-1.60), 1.53 (1.23-1.90), and 1.27 (1.13-1.43) for incident CHD in EA, HE, and AA individuals, respectively. The hazard ratios were comparable in the EA and HE cohorts (pinteraction = 0.77) but were significantly attenuated in AA individuals (pinteraction= 2.9 × 10-3). These results highlight the potential clinical utility of PRSs for CHD as well as the need to assemble diverse cohorts to generate ancestry- and ethnicity PRSs.
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Affiliation(s)
- Ozan Dikilitas
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | - Daniel J Schaid
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Matthew L Kosel
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Robert J Carroll
- Department of Biomedical Informatics, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37212, USA
| | - Christopher G Chute
- Schools of Medicine, Public Health, and Nursing, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Joshua A Denny
- Department of Biomedical Informatics, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37212, USA
| | - Alex Fedotov
- Irving Institute for Clinical and Translational Research, Columbia University Medical Center, New York, NY 10032, USA
| | - QiPing Feng
- Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37212, USA
| | - Hakon Hakonarson
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Gail P Jarvik
- Department of Medicine, University of Washington, Seattle, WA 98195, USA
| | | | - Jennifer A Pacheco
- Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Robb Rowley
- National Human Genome Research Institute, Bethesda, MD 20892, USA
| | - Patrick M Sleiman
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - C Michael Stein
- Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37212, USA
| | | | - Wei-Qi Wei
- Department of Biomedical Informatics, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37212, USA
| | - Georgia L Wiesner
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37212, USA
| | | | | | - Teri A Manolio
- National Human Genome Research Institute, Bethesda, MD 20892, USA
| | - Iftikhar J Kullo
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55905, USA.
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21
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Halverson CME, Connors LM, Wessinger BC, Clayton EW, Wiesner GL. Patient perspectives on variant reclassification after cancer susceptibility testing. Mol Genet Genomic Med 2020; 8:e1275. [PMID: 32329193 PMCID: PMC7336756 DOI: 10.1002/mgg3.1275] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2019] [Revised: 01/17/2020] [Accepted: 04/02/2020] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND Little is known about the impact of reclassification on patients' perception of medical uncertainty or trust in genetics-based clinical care. METHODS Semistructured telephone interviews were conducted with 20 patients who had received a reclassified genetic test result related to hereditary cancer. All participants had undergone genetic counseling and testing for cancer susceptibility at Vanderbilt-Ingram Cancer Center Hereditary Cancer Clinic within the last six years. RESULTS Most of the participants did not express distress related to the variant reclassification and only a minority expressed a decrease in trust in medical genetics. However, recall of the new interpretation was limited, even though all participants were recontacted by letter, phone, or clinic visit. CONCLUSION Reclassification of genetic tests is an important issue in modern healthcare because changes in interpretation have the potential to alter previously recommended management. Participants in this study did not express strong feelings of mistrust or doubt about their genetic evaluation. However, there was a low level of comprehension and information retention related to the updated report. Future research can build on this study to improve communication with patients about their reclassified results.
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Affiliation(s)
- Colin M E Halverson
- Center for Bioethics, Indiana University School of Medicine, Indianapolis, IN, USA.,Regenstrief Institute, Indianapolis, IN, USA
| | | | | | - Ellen W Clayton
- Center for Biomedical Ethics and Society, Vanderbilt University Medical Center, Nashville, TN, USA.,Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA.,School of Law, Vanderbilt University, Nashville, TN, USA
| | - Georgia L Wiesner
- Vanderbilt University School of Medicine, Nashville, TN, USA.,Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.,Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
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22
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Halverson CME, Wessinger BC, Clayton EW, Wiesner GL. Patients' willingness to reconsider cancer genetic testing after initially declining: Mention it again. J Genet Couns 2020; 29:18-24. [PMID: 31553110 PMCID: PMC8607552 DOI: 10.1002/jgc4.1174] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2019] [Revised: 09/06/2019] [Accepted: 09/09/2019] [Indexed: 01/21/2024]
Abstract
Patients at risk for hereditary cancer syndromes sometimes decline clinically appropriate genetic testing. The purpose of the current study was to understand what preferences, concerns, and desires informed their refusal as well as their current level of interest in being tested. We interviewed patients who had been seen in a hereditary cancer clinic at Vanderbilt University Medical Center and had declined genetic testing. In all, 21 in-depth, semi-structured qualitative interviews were conducted. Although patients provided many reasons for declining testing, they most often cited their psychosocial state at the time of the initial invitation to participate in genetic testing as their reason for refusal. The majority (67%) said that they either would or had changed their mind about testing if/when their clinicians 'mentioned it again'. Patients at risk for hereditary cancer who refuse testing at the time of genetic counseling may later change their mind. In particular, if a patient declines testing around the time of a major medical diagnosis or intervention, clinicians who are providing ongoing care may want to raise the topic afresh after the patient has had time to recover from initial distress related to diagnosis or treatment. Strategies to prompt clinicians to have these conversations are suggested.
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Affiliation(s)
- Colin M E Halverson
- Center for Bioethics, Indiana University School of Medicine, Indianapolis, IN, USA
| | | | - Ellen W Clayton
- Center for Biomedical Ethics and Society, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA
- School of Law, Vanderbilt University, Nashville, TN, USA
| | - Georgia L Wiesner
- Vanderbilt University School of Medicine, Nashville, TN, USA
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
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23
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Mittendorf KF, Hunter JE, Schneider JL, Shuster E, Rope AF, Zepp J, Gilmore MJ, Muessig KR, Davis JV, Kauffman TL, Bergen KM, Wiesner GL, Acheson LS, Peterson SK, Syngal S, Reiss JA, Goddard KAB. Recommended care and care adherence following a diagnosis of Lynch syndrome: a mixed-methods study. Hered Cancer Clin Pract 2019; 17:31. [PMID: 31890059 PMCID: PMC6915941 DOI: 10.1186/s13053-019-0130-8] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2019] [Accepted: 11/28/2019] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Lynch syndrome (LS) is the most common hereditary colorectal cancer (CRC) syndrome. This study assesses trends in diagnosis of LS and adherence to recommended LS-related care in a large integrated healthcare organization (~ 575,000 members). METHODS Electronic medical record (EMR) data (1999-2015) were examined to identify patients with a diagnosis of LS. We examined their LS-associated care recommendations and adherence to these recommendations. Qualitative patient and provider interviews were conducted with the aim of identifying opportunities for improved care delivery. RESULTS We identified 74 patients with a diagnosis of LS; 64% were diagnosed with a LS-related malignancy prior to their diagnosis of LS. The time to LS diagnosis following development of a LS-related cancer decreased over time: before 2009 11% of individuals received a diagnosis of LS within 1 year of developing a LS-related cancer compared to 83% after 2009 (p < 0.0001). Colonoscopy recommendations were documented in the EMR for almost all patients with LS (96%). Documentation of other recommendations for cancer surveillance was less commonly found. Overall, patient adherence to colonoscopy was high (M = 81.5%; SD = 32.7%), and adherence to other recommendations varied. To improve care coordination, patients and providers suggested providing automated reminder prompts for LS-related surveillance, adding a LS-specific diagnosis code, and providing guidelines for LS-related surveillance in the EMR. CONCLUSIONS We identified fewer than expected patients with LS in our large care system, indicating that there is still a diagnostic care gap. However, patients with LS were likely to receive and follow CRC surveillance recommendations. Recommendations for and adherence to extracolonic surveillance were variable. Improved care coordination and clearer documentation of the LS diagnosis is needed.
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Affiliation(s)
- Kathleen F. Mittendorf
- Center for Health Research, Kaiser Permanente Northwest, 3800 N. Interstate Avenue, Portland, OR 97227 USA
| | - Jessica Ezzell Hunter
- Center for Health Research, Kaiser Permanente Northwest, 3800 N. Interstate Avenue, Portland, OR 97227 USA
| | - Jennifer L. Schneider
- Center for Health Research, Kaiser Permanente Northwest, 3800 N. Interstate Avenue, Portland, OR 97227 USA
| | - Elizabeth Shuster
- Center for Health Research, Kaiser Permanente Northwest, 3800 N. Interstate Avenue, Portland, OR 97227 USA
| | - Alan F. Rope
- Northwest Permanente, Kaiser Permanente Northwest, Portland, OR USA
| | - Jamilyn Zepp
- Department of Medical Genetics, Kaiser Permanente Northwest, Portland, OR USA
| | - Marian J. Gilmore
- Department of Medical Genetics, Kaiser Permanente Northwest, Portland, OR USA
| | - Kristin R. Muessig
- Center for Health Research, Kaiser Permanente Northwest, 3800 N. Interstate Avenue, Portland, OR 97227 USA
| | - James V. Davis
- Center for Health Research, Kaiser Permanente Northwest, 3800 N. Interstate Avenue, Portland, OR 97227 USA
| | - Tia L. Kauffman
- Center for Health Research, Kaiser Permanente Northwest, 3800 N. Interstate Avenue, Portland, OR 97227 USA
| | - Kellene M. Bergen
- Center for Health Research, Kaiser Permanente Northwest, 3800 N. Interstate Avenue, Portland, OR 97227 USA
| | - Georgia L. Wiesner
- Vanderbilt Hereditary Cancer Program, Vanderbilt University Medical Center, Nashville, TN USA
| | - Louise S. Acheson
- Case Western Reserve University, University Hospitals Cleveland Medical Center, Cleveland, OH USA
| | | | - Sapna Syngal
- Dana-Farber Cancer Institute, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA USA
| | - Jacob A. Reiss
- Center for Health Research, Kaiser Permanente Northwest, 3800 N. Interstate Avenue, Portland, OR 97227 USA
| | - Katrina A. B. Goddard
- Center for Health Research, Kaiser Permanente Northwest, 3800 N. Interstate Avenue, Portland, OR 97227 USA
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24
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Williams MS, Taylor CO, Walton NA, Goehringer SR, Aronson S, Freimuth RR, Rasmussen LV, Hall ES, Prows CA, Chung WK, Fedotov A, Nestor J, Weng C, Rowley RK, Wiesner GL, Jarvik GP, Del Fiol G. Genomic Information for Clinicians in the Electronic Health Record: Lessons Learned From the Clinical Genome Resource Project and the Electronic Medical Records and Genomics Network. Front Genet 2019; 10:1059. [PMID: 31737042 PMCID: PMC6830110 DOI: 10.3389/fgene.2019.01059] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Accepted: 10/03/2019] [Indexed: 01/05/2023] Open
Abstract
Genomic knowledge is being translated into clinical care. To fully realize the value, it is critical to place credible information in the hands of clinicians in time to support clinical decision making. The electronic health record is an essential component of clinician workflow. Utilizing the electronic health record to present information to support the use of genomic medicine in clinical care to improve outcomes represents a tremendous opportunity. However, there are numerous barriers that prevent the effective use of the electronic health record for this purpose. The electronic health record working groups of the Electronic Medical Records and Genomics (eMERGE) Network and the Clinical Genome Resource (ClinGen) project, along with other groups, have been defining these barriers, to allow the development of solutions that can be tested using implementation pilots. In this paper, we present “lessons learned” from these efforts to inform future efforts leading to the development of effective and sustainable solutions that will support the realization of genomic medicine.
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Affiliation(s)
- Marc S Williams
- Genomic Medicine Institute, Geisinger, Danville, PA, United States
| | - Casey Overby Taylor
- Genomic Medicine Institute, Geisinger, Danville, PA, United States.,Department of Medicine, Johns Hopkins University, Baltimore, MD, United States
| | - Nephi A Walton
- Genomic Medicine Institute, Geisinger, Danville, PA, United States
| | | | | | - Robert R Freimuth
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, United States
| | - Luke V Rasmussen
- Department of Preventive Medicine, Northwestern University, Chicago, IL, United States
| | - Eric S Hall
- Department of Pediatrics, University of Cincinnati College of Medicine, and Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States
| | - Cynthia A Prows
- Divisions of Human Genetics and Patient Services, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States
| | - Wendy K Chung
- Departments of Pediatrics and Medicine, Columbia University, New York, NY, United States
| | - Alexander Fedotov
- Irving Institute for Clinical and Translational Research, Columbia University, New York, NY, United States
| | - Jordan Nestor
- Department of Medicine, Division of Nephrology, Columbia University, New York, NY, United States
| | - Chunhua Weng
- Department of Biomedical Informatics, Columbia University, New York, NY, United States
| | - Robb K Rowley
- National Human Genome Research Institute, Bethesda, MD, United States
| | - Georgia L Wiesner
- Division of Genetic Medicine, Department of Internal Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Gail P Jarvik
- Departments of Medicine (Medical Genetics) and Genome Sciences, University of Washington, Seattle, WA, United States
| | - Guilherme Del Fiol
- Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States
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25
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Zouk H, Venner E, Lennon NJ, Muzny DM, Abrams D, Adunyah S, Albertson-Junkans L, Ames DC, Appelbaum P, Aronson S, Aufox S, Babb LJ, Balasubramanian A, Bangash H, Basford M, Bastarache L, Baxter S, Behr M, Benoit B, Bhoj E, Bielinski SJ, Bland HT, Blout C, Borthwick K, Bottinger EP, Bowser M, Brand H, Brilliant M, Brodeur W, Caraballo P, Carrell D, Carroll A, Almoguera B, Castillo L, Castro V, Chandanavelli G, Chiang T, Chisholm RL, Christensen KD, Chung W, Chute CG, City B, Cobb BL, Connolly JJ, Crane P, Crew K, Crosslin D, De Andrade M, De la Cruz J, Denson S, Denny J, DeSmet T, Dikilitas O, Friedrich C, Fullerton SM, Funke B, Gabriel S, Gainer V, Gharavi A, Glazer AM, Glessner JT, Goehringer J, Gordon AS, Graham C, Green RC, Gundelach JH, Dayal J, Hain HS, Hakonarson H, Harden MV, Harley J, Harr M, Hartzler A, Hayes MG, Hebbring S, Henrikson N, Hershey A, Hoell C, Holm I, Howell KM, Hripcsak G, Hu J, Jarvik GP, Jayaseelan JC, Jiang Y, Joo YY, Jose S, Josyula NS, Justice AE, Kalla SE, Kalra D, Karlson E, Kelly MA, Keating BJ, Kenny EE, Key D, Kiryluk K, Kitchner T, Klanderman B, Klee E, Kochan DC, Korchina V, Kottyan L, Kovar C, Kudalkar E, Kullo IJ, Lammers P, Larson EB, Lebo MS, Leduc M, Lee MT(M, Leppig KA, Leslie ND, Li R, Liang WH, Lin CF, Linder J, Lindor NM, Lingren T, Linneman JG, Liu C, Liu W, Liu X, Lynch J, Lyon H, Macbeth A, Mahadeshwar H, Mahanta L, Malin B, Manolio T, Marasa M, Marsolo K, Dinsmore MJ, Dodge S, Hynes ED, Dunlea P, Edwards TL, Eng CM, Fasel D, Fedotov A, Feng Q, Fleharty M, Foster A, Freimuth R, McGowan ML, McNally E, Meldrim J, Mentch F, Mosley J, Mukherjee S, Mullen TE, Muniz J, Murdock DR, Murphy S, Murugan M, Myers MF, Namjou B, Ni Y, Obeng AO, Onofrio RC, Taylor CO, Person TN, Peterson JF, Petukhova L, Pisieczko CJ, Pratap S, Prows CA, Puckelwartz MJ, Rahm AK, Raj R, Ralston JD, Ramaprasan A, Ramirez A, Rasmussen L, Rasmussen-Torvik L, Rasouly HM, Raychaudhuri S, Ritchie MD, Rives C, Riza B, Roden D, Rosenthal EA, Santani A, Schaid D, Scherer S, Scott S, Scrol A, Sengupta S, Shang N, Sharma H, Sharp RR, Singh R, Sleiman PM, Slowik K, Smith JC, Smith ME, Smoller JW, Sohn S, Stanaway IB, Starren J, Stroud M, Su J, Tolwinski K, Van Driest SL, Vargas SM, Varugheese M, Veenstra D, Verbitsky M, Vicente G, Wagner M, Walker K, Walunas T, Wang L, Wang Q, Wei WQ, Weiss ST, Wiesner GL, Wells Q, Weng C, White PS, Wiley KL, Williams JL, Williams MS, Wilson MW, Witkowski L, Woods LA, Woolf B, Wu TJ, Wynn J, Yang Y, Yi V, Zhang G, Zhang L, Rehm HL, Gibbs RA. Harmonizing Clinical Sequencing and Interpretation for the eMERGE III Network. Am J Hum Genet 2019; 105:588-605. [PMID: 31447099 PMCID: PMC6731372 DOI: 10.1016/j.ajhg.2019.07.018] [Citation(s) in RCA: 77] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2018] [Accepted: 07/26/2019] [Indexed: 12/25/2022] Open
Abstract
The advancement of precision medicine requires new methods to coordinate and deliver genetic data from heterogeneous sources to physicians and patients. The eMERGE III Network enrolled >25,000 participants from biobank and prospective cohorts of predominantly healthy individuals for clinical genetic testing to determine clinically actionable findings. The network developed protocols linking together the 11 participant collection sites and 2 clinical genetic testing laboratories. DNA capture panels targeting 109 genes were used for testing of DNA and sample collection, data generation, interpretation, reporting, delivery, and storage were each harmonized. A compliant and secure network enabled ongoing review and reconciliation of clinical interpretations, while maintaining communication and data sharing between clinicians and investigators. A total of 202 individuals had positive diagnostic findings relevant to the indication for testing and 1,294 had additional/secondary findings of medical significance deemed to be returnable, establishing data return rates for other testing endeavors. This study accomplished integration of structured genomic results into multiple electronic health record (EHR) systems, setting the stage for clinical decision support to enable genomic medicine. Further, the established processes enable different sequencing sites to harmonize technical and interpretive aspects of sequencing tests, a critical achievement toward global standardization of genomic testing. The eMERGE protocols and tools are available for widespread dissemination.
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26
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Clarke EV, Muessig KR, Zepp J, Hunter JE, Syngal S, Acheson LS, Wiesner GL, Peterson SK, Bergen KM, Shuster E, Davis JV, Schneider JL, Kauffman TL, Gilmore MJ, Reiss JA, Rope AF, Cook JE, Goddard KAB. Implementation of a Systematic Tumor Screening Program for Lynch Syndrome in an Integrated Health Care Setting. Fam Cancer 2019; 18:317-325. [PMID: 30729418 DOI: 10.1007/s10689-019-00123-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
A subset of colorectal cancer (CRC) cases are attributable to Lynch syndrome (LS), a hereditary form of CRC. Effective evaluation for LS can be done on CRC tumors to guide diagnostic testing. Increased diagnosis of LS allows for surveillance and risk reduction, which can mitigate CRC-related burden and prevent cancer-related deaths. We evaluated participation in LS screening among newly diagnosed adult CRC patients. Some cases were referred for genetics evaluation prior to study recruitment (selective screening). Those not referred directly were randomized to the intervention or control (usual care) arms. Control cases were observed for one year, then given information about LS screening. Patients who declined participation were followed through the medical record. Of 601 cases of CRC, 194 (32%) enrolled in our study and were offered LS screening, 43 (7%) were followed as a control group, 148 (25%) declined participation and 216 (36%) were ineligible [63 (10%) of which received prior selective screening]. Six and nine cases of LS were identified through the intervention and selective screening groups, respectively. Overall, a higher proportion of PMS2 variants were identified in the intervention (3/6, 50%) versus selective screening groups (2/9, 22%) (not statistically significant). Eighty-eight percent and 23% of intervention and control patients, respectively, received LS screening. No control patients were found to have LS. Systems-based approaches are needed to ensure we fully identify LS cases. The proportion of LS cases from this program was 4% of newly diagnosed cases of CRC, similar to other programs.
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Affiliation(s)
- Elizabeth V Clarke
- Center for Health Research, Kaiser Permanente Northwest, 3800 N. Interstate Avenue, Portland, OR, 97227, USA
| | - Kristin R Muessig
- Center for Health Research, Kaiser Permanente Northwest, 3800 N. Interstate Avenue, Portland, OR, 97227, USA
| | - Jamilyn Zepp
- Center for Health Research, Kaiser Permanente Northwest, 3800 N. Interstate Avenue, Portland, OR, 97227, USA
| | - Jessica E Hunter
- Center for Health Research, Kaiser Permanente Northwest, 3800 N. Interstate Avenue, Portland, OR, 97227, USA
| | - Sapna Syngal
- Dana-Farber Cancer Institute, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Louise S Acheson
- Case Western Reserve University, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Georgia L Wiesner
- Vanderbilt Hereditary Cancer Program, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Susan K Peterson
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kellene M Bergen
- Center for Health Research, Kaiser Permanente Northwest, 3800 N. Interstate Avenue, Portland, OR, 97227, USA
| | - Elizabeth Shuster
- Center for Health Research, Kaiser Permanente Northwest, 3800 N. Interstate Avenue, Portland, OR, 97227, USA
| | - James V Davis
- Center for Health Research, Kaiser Permanente Northwest, 3800 N. Interstate Avenue, Portland, OR, 97227, USA
| | - Jennifer L Schneider
- Center for Health Research, Kaiser Permanente Northwest, 3800 N. Interstate Avenue, Portland, OR, 97227, USA
| | - Tia L Kauffman
- Center for Health Research, Kaiser Permanente Northwest, 3800 N. Interstate Avenue, Portland, OR, 97227, USA
| | - Marian J Gilmore
- Center for Health Research, Kaiser Permanente Northwest, 3800 N. Interstate Avenue, Portland, OR, 97227, USA
| | - Jacob A Reiss
- Center for Health Research, Kaiser Permanente Northwest, 3800 N. Interstate Avenue, Portland, OR, 97227, USA
| | - Alan F Rope
- Northwest Permanente, Kaiser Permanente Northwest, Portland, OR, USA
| | - Jennifer E Cook
- Center for Health Research, Kaiser Permanente Northwest, 3800 N. Interstate Avenue, Portland, OR, 97227, USA
| | - Katrina A B Goddard
- Center for Health Research, Kaiser Permanente Northwest, 3800 N. Interstate Avenue, Portland, OR, 97227, USA.
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27
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Straub MM, Podoll MB, David SN, Wiesner GL, Desouki MM. Subsequent breast and high grade serous carcinomas after risk-reducing salpingo-oophorectomy in BRCA mutation carriers and patients with history of breast cancer. Ann Diagn Pathol 2018; 36:28-30. [PMID: 30055521 DOI: 10.1016/j.anndiagpath.2018.06.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2018] [Accepted: 06/13/2018] [Indexed: 10/28/2022]
Abstract
Risk-reducing salpingo-oophorectomy (RRSO) is a procedure to reduce the risk of adnexal cancer in BRCA mutation carriers and for hormonal manipulation in women with breast cancer (BC). The goal of the study is to report the frequency of subsequent BC and high-grade serous carcinoma (HGSC) following RRSO in BRCA1 and BRCA2 mutation carriers and in patients with personal history of BC with or without BRCA mutation. A series of 147 consecutive patients who received a RRSO were reviewed. Patient's age, clinical history, BC histotype, gene mutation data, incidence of post-RRSO BC and HGSC and time intervals were analyzed. The cases were followed for a mean of 49 months. Group 1 consists of 97 cases with pathogenic or likely pathogenic "deleterious" mutation BRCA1 (n = 49) or BRCA2 (n = 48). Group 2 consists of 50 cases with history of BC and no documented BRCA gene mutation. Prior to RRSO, 42 (43%) cases in group 1 had a history of BC and all cases in group 2 had a history of BC. There was no difference between the groups in the age at diagnosis for BC (Mean of 44 years). Following RRSO, 2/49 cases (4%) with BRCA1 mutation were found to have occult HGSC and none in BRCA2 cases. There were also 1 BC recurrence and 1 primary BC with BRCA1 mutation compared to 5 recurrent BC in Group 2 (10%). In conclusion, the risk of subsequent recurrent BC after RRSO appears to be higher (10%) in patients with history of BC with no BRCA mutation when compared to (2%) in BRCA mutation carriers.
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Affiliation(s)
- Melissa M Straub
- Vanderbilt University, Department of Pathology, Microbiology and Immunology, Nashville, TN, USA
| | - Mirna B Podoll
- Vanderbilt University, Department of Pathology, Microbiology and Immunology, Nashville, TN, USA
| | - Stephanie N David
- Vanderbilt University, Department of Pathology, Microbiology and Immunology, Nashville, TN, USA
| | - Georgia L Wiesner
- Department of Medicine, Vanderbilt University Medical Center, Vanderbilt Ingram Cancer Center, USA
| | - Mohamed M Desouki
- Vanderbilt University, Department of Pathology, Microbiology and Immunology, Nashville, TN, USA.
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Turner SA, Rao SK, Morgan RH, Vnencak-Jones CL, Wiesner GL. The impact of variant classification on the clinical management of hereditary cancer syndromes. Genet Med 2018; 21:426-430. [PMID: 29875428 DOI: 10.1038/s41436-018-0063-z] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2018] [Accepted: 05/03/2018] [Indexed: 11/09/2022] Open
Abstract
PURPOSE The reclassification of genetic variants poses a significant challenge for laboratories and clinicians. Variant review has resulted in the reclassification of variants of unknown significance as well as the reclassification of previously established pathogenic and likely pathogenic variants. These reclassifications have the potential to alter the clinical management of patients with hereditary cancer syndromes. METHODS Results were reviewed for 1694 patients seen for hereditary cancer evaluation between August 2012 and May 2017 to determine the frequency and types of variant reclassification. Patients with reclassifications with high potential for impact were monitored for alterations in organ surveillance, prophylactic surgery, and cascade testing. RESULTS One hundred forty-two variants were reclassified representing 124/1694 (7.3%) patients; 11.3% of reclassifications (16/142) had a high potential for clinical impact with 94% (15/16) altering clinical management of patients with 56% (9/16) changing multiple areas of management. CONCLUSION While reclassifications are rare, the impact on clinical management is profound. In many cases, patients with downgraded pathogenic/likely pathogenic variants had years of unnecessary organ surveillance and underwent unneeded surgical intervention. In addition, cascade testing misidentified those at risk for developing cancers, thereby altering the management across generations. The frequency and types of alterations to clinical management highlight the need for timely variant reclassification.
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Affiliation(s)
- Scott A Turner
- Department of Pathology, Microbiology and Immunology, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
| | - Smita K Rao
- Vanderbilt Clinical and Translational Hereditary Cancer Program, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - R Hayes Morgan
- Vanderbilt Clinical and Translational Hereditary Cancer Program, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Cindy L Vnencak-Jones
- Department of Pathology, Microbiology and Immunology, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Georgia L Wiesner
- Vanderbilt Clinical and Translational Hereditary Cancer Program, Vanderbilt University Medical Center, Nashville, Tennessee, USA.,Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA
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Schneider JL, Goddard KAB, Muessig KR, Davis JV, Rope AF, Hunter JE, Peterson SK, Acheson LS, Syngal S, Wiesner GL, Reiss JA. Patient and provider perspectives on adherence to and care coordination of lynch syndrome surveillance recommendations: findings from qualitative interviews. Hered Cancer Clin Pract 2018; 16:11. [PMID: 29760830 PMCID: PMC5946437 DOI: 10.1186/s13053-018-0090-4] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2017] [Accepted: 03/26/2018] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND Patients with a genetic variant associated with Lynch syndrome (LS) are recommended to undergo frequent and repeated cancer surveillance activities to minimize cancer-related morbidity and mortality. Little is known about how patients and primary care providers (PCPs) track and manage these recommendations. We conducted a small exploratory study of patient and PCP experiences with recommended LS surveillance activities and communication with family members in an integrated health care system. METHODS We used in-depth interviews with patients and providers to understand how surveillance is coordinated and monitored following confirmation of LS. We recruited patients with a range of ages/gender, and providers with at least at least one patient with a molecular diagnosis of LS. All interviews were recorded, transcribed, and content analyzed by a trained qualitative methodologist. RESULTS Twenty-two interviews were completed with 12 patients and 10 providers. Most patients (10) had detailed knowledge of surveillance recommendations, but were less sure of time intervals. While all patients reported receiving initial education about their surveillance recommendations from a genetic counselor, seven did not follow-up with a genetic counselor in subsequent years. A third of patients described taking sole responsibility for managing their LS surveillance care. Lack of routine communication from the health system (e.g., prompts for surveillance activities), and provider engagement were surveillance barriers. PCPs were generally aware of LS, but had limited familiarity with surveillance recommendations. Most PCPs (7) viewed LS as rare and relied on patient and specialist expertise and support. Providers typically had 1 patient with LS in a panel of 1800 patients overall. Providers felt strongly that management of LS should be coordinated by a dedicated team of specialists. Most patients (92%) had at least one family member that sought LS testing, and common barriers for family members included lack of insurance, affordability, and fear of result. CONCLUSION The maximal benefits of screening for confirmation of LS will only be realized with adherence to recommended preventive care. Important factors to ensure patients receive recommended LS care include a comprehensive and coordinated monitoring program that includes reminder prompts, and increased PCP education of LS and associated surveillance recommendations.
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Affiliation(s)
- Jennifer L. Schneider
- 0000 0004 0455 9821grid.414876.8Center for Health Research, Kaiser Permanente Northwest, Portland, OR USA
| | - Katrina A. B. Goddard
- 0000 0004 0455 9821grid.414876.8Center for Health Research, Kaiser Permanente Northwest, Portland, OR USA
| | - Kristin R. Muessig
- 0000 0004 0455 9821grid.414876.8Center for Health Research, Kaiser Permanente Northwest, Portland, OR USA
| | - James V. Davis
- 0000 0004 0455 9821grid.414876.8Center for Health Research, Kaiser Permanente Northwest, Portland, OR USA
| | - Alan F. Rope
- 0000 0004 0455 9821grid.414876.8Center for Health Research, Kaiser Permanente Northwest, Portland, OR USA
| | - Jessica E. Hunter
- 0000 0004 0455 9821grid.414876.8Center for Health Research, Kaiser Permanente Northwest, Portland, OR USA
| | - Susan K. Peterson
- 0000 0001 2291 4776grid.240145.6Department of Behavioral Science, University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Louise S. Acheson
- 0000 0000 9149 4843grid.443867.aCase Western Reserve University, University Hospitals Cleveland Medical Center, Cleveland, OH USA
| | - Sapna Syngal
- 0000 0001 2106 9910grid.65499.37Dana-Farber Cancer Institute, Boston, MA USA
| | - Georgia L. Wiesner
- 0000 0001 2264 7217grid.152326.1Vanderbilt Hereditary Cancer Program, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University, Nashville, TN USA
| | - Jacob A. Reiss
- 0000 0004 0455 9821grid.414876.8Center for Health Research, Kaiser Permanente Northwest, Portland, OR USA
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Fossey R, Kochan D, Winkler E, Pacyna JE, Olson J, Thibodeau S, Connolly JJ, Harr M, Behr MA, Prows CA, Cobb B, Myers MF, Leslie ND, Namjou-Khales B, Milo Rasouly H, Wynn J, Fedotov A, Chung WK, Gharavi A, Williams JL, Pais L, Holm I, Aufox S, Smith ME, Scrol A, Leppig K, Jarvik GP, Wiesner GL, Li R, Stroud M, Smoller JW, Sharp RR, Kullo IJ. Ethical Considerations Related to Return of Results from Genomic Medicine Projects: The eMERGE Network (Phase III) Experience. J Pers Med 2018; 8:jpm8010002. [PMID: 29301385 PMCID: PMC5872076 DOI: 10.3390/jpm8010002] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2017] [Revised: 12/19/2017] [Accepted: 12/20/2017] [Indexed: 12/22/2022] Open
Abstract
We examined the Institutional Review Board (IRB) process at 9 academic institutions in the electronic Medical Records and Genomics (eMERGE) Network, for proposed electronic health record-based genomic medicine studies, to identify common questions and concerns. Sequencing of 109 disease related genes and genotyping of 14 actionable variants is being performed in ~28,100 participants from the 9 sites. Pathogenic/likely pathogenic variants in actionable genes are being returned to study participants. We examined each site’s research protocols, informed-consent materials, and interactions with IRB staff. Research staff at each site completed questionnaires regarding their IRB interactions. The time to prepare protocols for IRB submission, number of revisions and time to approval ranged from 10–261 days, 0–11, and 11–90 days, respectively. IRB recommendations related to the readability of informed consent materials, specifying the full range of potential risks, providing options for receiving limited results or withdrawal, sharing of information with family members, and establishing the mechanisms to answer participant questions. IRBs reviewing studies that involve the return of results from genomic sequencing have a diverse array of concerns, and anticipating these concerns can help investigators to more effectively engage IRBs.
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Affiliation(s)
- Robyn Fossey
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN 55905, USA.
| | - David Kochan
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN 55905, USA.
| | - Erin Winkler
- Center for Individualized Medicine and Department of Medical Genomics, Mayo Clinic, Rochester, MN 55905, USA.
| | - Joel E Pacyna
- Department of Health Sciences Research, Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN 55905, USA.
| | - Janet Olson
- Department of Health Sciences Research, Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN 55905, USA.
| | - Stephen Thibodeau
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA.
| | - John J Connolly
- The Children's Hospital of Philadelphia, Center for Applied Genomics, Philadelphia, PA 19104, USA.
| | - Margaret Harr
- The Children's Hospital of Philadelphia, Center for Applied Genomics, Philadelphia, PA 19104, USA.
| | - Meckenzie A Behr
- The Children's Hospital of Philadelphia, Center for Applied Genomics, Philadelphia, PA 19104, USA.
| | - Cynthia A Prows
- Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.
| | - Beth Cobb
- Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.
| | - Melanie F Myers
- Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.
| | - Nancy D Leslie
- Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.
| | | | - Hila Milo Rasouly
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, NY 10027, USA.
| | - Julia Wynn
- Department of Pediatrics, Columbia University Medical Center, New York, NY 10032, USA.
| | - Alexander Fedotov
- Irving Institute for Clinical and Translational Research, Columbia University Medical Center, New York, NY 10032, USA.
| | - Wendy K Chung
- Departments of Pediatrics and Medicine, Columbia University Medical Center, New York, NY 10032, USA.
| | - Ali Gharavi
- Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, NY 10027, USA.
| | | | - Lynn Pais
- Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
| | - Ingrid Holm
- Boston Children's Hospital, Boston, MA 02115, USA.
| | - Sharon Aufox
- Center for Genetic Medicine, Northwestern University, Chicago, IL 60611, USA.
| | - Maureen E Smith
- Center for Genetic Medicine, Northwestern University, Chicago, IL 60611, USA.
| | | | | | - Gail P Jarvik
- Division of Medical Genetics, University of Washington, Seattle, WA 98195, USA.
| | - Georgia L Wiesner
- Department of Medicine, Division of Genomic Medicine, Vanderbilt University Medical Center, Nashville, TN 37212, USA.
| | - Rongling Li
- National Human Genome Research Institute, Rockville, MD 20892, USA.
| | - Mary Stroud
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37203, USA.
| | - Jordan W Smoller
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA.
| | - Richard R Sharp
- Department of Health Sciences Research, Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN 55905, USA.
| | - Iftikhar J Kullo
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN 55905, USA.
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Daly MB, Pilarski R, Berry M, Buys SS, Farmer M, Friedman S, Garber JE, Kauff ND, Khan S, Klein C, Kohlmann W, Kurian A, Litton JK, Madlensky L, Merajver SD, Offit K, Pal T, Reiser G, Shannon KM, Swisher E, Vinayak S, Voian NC, Weitzel JN, Wick MJ, Wiesner GL, Dwyer M, Darlow S. NCCN Guidelines Insights: Genetic/Familial High-Risk Assessment: Breast and Ovarian, Version 2.2017. J Natl Compr Canc Netw 2017; 15:9-20. [PMID: 28040716 DOI: 10.6004/jnccn.2017.0003] [Citation(s) in RCA: 347] [Impact Index Per Article: 49.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
The NCCN Clinical Practice Guidelines in Oncology for Genetic/Familial High-Risk Assessment: Breast and Ovarian provide recommendations for genetic testing and counseling for hereditary cancer syndromes and risk management recommendations for patients who are diagnosed with a syndrome. Guidelines focus on syndromes associated with an increased risk of breast and/or ovarian cancer. The NCCN Genetic/Familial High-Risk Assessment: Breast and Ovarian panel meets at least annually to review comments from reviewers within their institutions, examine relevant new data from publications and abstracts, and reevaluate and update their recommendations. The NCCN Guidelines Insights summarize the panel's discussion and most recent recommendations regarding risk management for carriers of moderately penetrant genetic mutations associated with breast and/or ovarian cancer.
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Affiliation(s)
| | - Robert Pilarski
- The Ohio State University Comprehensive Cancer Center - James Cancer Hospital and Solove Research Institute
| | - Michael Berry
- St. Jude Children’s Research Hospital/The University of Tennessee Health Science Center
| | | | - Meagan Farmer
- University of Alabama at Birmingham Comprehensive Cancer Center
| | | | | | | | - Seema Khan
- Robert H. Lurie Comprehensive Cancer Center of Northwestern University
| | | | | | | | | | | | | | | | | | | | | | - Elizabeth Swisher
- University of Washington Medical Center/Seattle Cancer Care Alliance
| | - Shaveta Vinayak
- Case Comprehensive Cancer Center/University Hospitals Seidman Cancer Center and Cleveland Clinic Taussig Cancer Institute
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Pal T, Brzosowicz J, Valladares A, Wiesner GL, Laronga C. Identification and Management of TP53 Gene Carriers Detected Through Multigene Panel Testing. South Med J 2017; 110:643-648. [DOI: 10.14423/smj.0000000000000711] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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Wiesner GL, Rao SK, Ashworth DR, Thomas KA, Lammers PE. Abstract P3-08-10: Highly accurate hereditary risk assessment tool for low-income breast cancer patients. Cancer Res 2017. [DOI: 10.1158/1538-7445.sabcs16-p3-08-10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Introduction: Genetic testing is known to improve outcomes in high-risk women by finding cancers in the earliest most treatable stage or through prophylactic measures. However, these life-saving services may not be available to low-income women due to lack of insurance or access to genetic providers. To address this need, a collaboration between the Hereditary Cancer Clinic at Vanderbilt-Ingram Cancer Center (VICC) and the Robert E. Hardy Cancer Clinic at Nashville General Hospital at Meharry Medical College (MMC) was established in 2015 to systematically screen all MMC breast cancer patients for hereditary traits and refer them for genetic counseling (1). We hypothesized that high risk women could be accurately identified using this clinic based screening tool.
Methods: MMC clinic staff screened breast cancer patients using a 10-item Family Cancer Risk Assessment tool (RISK) that has been designed for use in a busy clinic environment (2). We tested the accuracy of the RISK by comparing the results to a 3-generation pedigree and the current NCCN guidelines for referral of patients to genetic services (3). The project was approved by the IRBs at each institution and study data were collected and managed using RedCap electronic data capture tools hosted at Vanderbilt University (4). Summary statistics and Chi-square for significance were performed.
Results: 73 breast cancer patients completed the RISK during their clinic visits and 41 (56%) had a high-risk score of 6 or more. All 41 patients have been referred for genetic counseling, with 18 (44%) women having completed a pedigree interview over the phone. 11 of these 18 patients (61%) were African-American; 5 (27.7%) were Caucasian; and one each (5% each) were of Asian and Hispanic ancestry. 9/18 were diagnosed < 50 years (Mean entire group =50 yrs; range 36 -57). 5/18 (27.7%) had triple negative markers on pathology and 2/18 were ER+/PR+/Her2+, and the remainder had ER+/PR+/HER2- cancers. Among the 18 patients with full pedigrees, 17 (95%) patients met current NCCN guidelines based on pedigree analysis. The one outlier had a revised RISK score based on updated information obtained during the pedigree interview. Genetic testing was offered to 10 patients seen in VICC clinic and 1 declined testing. The other 8 patients either failed (n=4) or are awaiting an appointment (n=4). No deleterious mutations were seen in those tested. 4 VUSs (BRCA2, NBN, SMARCA4, and RAD51D) were found in 3 of the 9 tested patients. No significant differences were found in race, age or type of tumor.
Conclusion: Point of care risk assessment using the Family Cancer Risk Assessment screening tool is highly accurate for identifying patients at high genetic risk for hereditary breast cancer. While the tool was completed using pen and paper, it could easily be computerized for ease of administration and calculation of risk scores. This approach benefits the busy oncologist in identifying and referring appropriate patients for genetic testing.
1. Funds awarded by GreaterGood.org. 2. Joseph G. et al. 2012 Public Health Genomics. 3. National Comprehensive Cancer Network: Genetic/High-risk Breast_Ovarian (Version 2.2016). 4. Harris et al. 2009. J Biomed Inform.
Citation Format: Wiesner GL, Rao SK, Ashworth DR, Thomas KA, Lammers PE. Highly accurate hereditary risk assessment tool for low-income breast cancer patients [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr P3-08-10.
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Affiliation(s)
- GL Wiesner
- Vamderbilt-Ingram Cancer Center, Nashville, TN; Vanderbilt University Medical Center, Nashville, TN; Meharry Medical College, Nashville, TN
| | - SK Rao
- Vamderbilt-Ingram Cancer Center, Nashville, TN; Vanderbilt University Medical Center, Nashville, TN; Meharry Medical College, Nashville, TN
| | - DR Ashworth
- Vamderbilt-Ingram Cancer Center, Nashville, TN; Vanderbilt University Medical Center, Nashville, TN; Meharry Medical College, Nashville, TN
| | - KA Thomas
- Vamderbilt-Ingram Cancer Center, Nashville, TN; Vanderbilt University Medical Center, Nashville, TN; Meharry Medical College, Nashville, TN
| | - PE Lammers
- Vamderbilt-Ingram Cancer Center, Nashville, TN; Vanderbilt University Medical Center, Nashville, TN; Meharry Medical College, Nashville, TN
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Biltibo E, Lammers PE, Thomas K, Rao S, Ashworth R, Wiesner GL. Abstract B84: Practical risk assessment: Identifying women at risk for hereditary cancer in a low-income cancer clinic. Cancer Epidemiol Biomarkers Prev 2017. [DOI: 10.1158/1538-7755.disp16-b84] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Abstract
Introduction: The identification of breast and ovarian patients for genetic counseling and genetic testing is of paramount importance in order to offer tailored treatments to patients and their family members at high risk. Current guidelines for genetic counseling referrals require physicians to devote an inordinate amount of time to investigate patient family histories and risk factors. We devised a hereditary risk assessment strategy utilizing a previously described 10-item Family Cancer Risk Assessment (RISK) tool1 to accurately and quickly identify appropriate patients for genetic counseling referrals in an unobtrusive manner in a busy low-income oncology clinic.
Methods: All women with a history of breast or ovarian cancer at the Robert Hardy Cancer Clinic at Nashville General Hospital at Meharry Medical College were approached for inclusion in this study. Exclusions included severe illness and previous genetic testing. Survey questions included family history of breast or ovarian cancer, ethnic background, and age at diagnosis, among others. Points were conferred as described previously1 and a score greater than or equal to six entailed an automatic referral to the Vanderbilt Hereditary Cancer Program (VHCP). Referred patients had an initial telephone appointment to construct a pedigree then followed by a face to face genetic counseling appointment and genetic testing if advised by the counselor. Sociodemographic data, cancer stage and cancer treatment data were collected using a RedCap database2 sponsored by Vanderbilt. The study was approved by the IRB of each institution.
Results: 79 women were approached over a ten-month period. 73 (92%) of the women agreed to take the RISK survey. One patient had ovarian cancer and the others had a personal history of breast cancer. The average age of the women in the study was 56 (range 34-75). 48% of patients were African-American, 37% Caucasian, and 8% Hispanic. 83% of patients had Tennessee Medicaid as their sole insurance coverage. 79% of the 38 patients who completed questions regarding finances indicated their annual household income was less than $15,000. 14% of patients were diagnosed with triple negative breast cancer (TNBC) before the age of 60 and 35% were diagnosed with non-TNBC before age 50. 41 (56%) women scored six or greater on the RISK tool, and all of these women were referred to the VHCP. To date, 18 women have completed the genetics telephone interview with pedigree construction and 23 are awaiting telephone appointments. Of these 18 women, 17 (94%) met current NCCN guidelines3 for hereditary cancer screening based on pedigree analysis, age of diagnosis, and histology of the malignancy. 10 of the 18 patients were offered genetic testing, one patient declined the test after counseling. The other 8 women either failed (n=4) or are awaiting an appointment (n=4). No deleterious mutations were found in those tested and 4 variants of unknown significance (VUS) were found in 3 individual patients.
Conclusions: A hereditary risk assessment strategy utilizing a 10-item RISK tool is an effective means for physicians practicing in a low-income, predominantly African-American clinic to easily identify appropriate patients with history of breast cancer for genetic counseling referral. Further, the extremely high participation rate of this patient population may indicate a high level of interest in genetic screening. Importantly, a number of patients did not follow through and attend the genetic counseling appointments; we are studying the reasons behind this lack of follow-through. Overall, this strategy could be easily implemented in other busy low-income clinics to screen patients for risk of hereditary cancer.
1 Joseph G. et al. 2012 Public Health Genomics. 2 Harris et al. 2009. J Biomed Inform. 3 National Comprehensive Cancer Network: Genetic/High-risk Breast_Ovarian (Version 2.2016).
This study was funded by GreaterGood.org and by the Robert Wood Johnson Foundation.
Citation Format: Eden Biltibo, Philip E. Lammers, Kimberley Thomas, Smita Rao, Renee Ashworth, Georgia L. Wiesner. Practical risk assessment: Identifying women at risk for hereditary cancer in a low-income cancer clinic. [abstract]. In: Proceedings of the Ninth AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2016 Sep 25-28; Fort Lauderdale, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2017;26(2 Suppl):Abstract nr B84.
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Affiliation(s)
| | | | | | - Smita Rao
- 2Vanderbilt-Ingram Cancer Center, Nashville, TN
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Callier SL, Abudu R, Mehlman MJ, Singer ME, Neuhauser D, Caga-Anan C, Wiesner GL. Ethical, Legal, and Social Implications of Personalized Genomic Medicine Research: Current Literature and Suggestions for the Future. Bioethics 2016; 30:698-705. [PMID: 27767224 DOI: 10.1111/bioe.12285] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2015] [Revised: 03/27/2016] [Accepted: 05/16/2016] [Indexed: 06/06/2023]
Abstract
PURPOSE This review identifies the prominent topics in the literature pertaining to the ethical, legal, and social issues (ELSI) raised by research investigating personalized genomic medicine (PGM). METHODS The abstracts of 953 articles extracted from scholarly databases and published during a 5-year period (2008-2012) were reviewed. A total of 299 articles met our research criteria and were organized thematically to assess the representation of ELSI issues for stakeholders, health specialties, journals, and empirical studies. RESULTS ELSI analyses were published in both scientific and ethics journals. Investigational research comprised 45% of the literature reviewed (135 articles) and the remaining 55% (164 articles) comprised normative analyses. Traditional ELSI concerns dominated the discourse including discussions about disclosure of research results. In fact, there was a dramatic increase in the number of articles focused on the disclosure of research results and incidental findings to research participants. Few papers focused on particular disorders, the use of racial categories in research, international communities, or special populations (e.g., adolescents, elderly patients, or ethnic groups). CONCLUSION Considering that strategies in personalized medicine increasingly target individuals' unique health conditions, environments, and ancestries, further analysis is needed on how ELSI scholarship can better serve the increasingly global, interdisciplinary, and diverse PGM research community.
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Daly MB, Pilarski R, Axilbund JE, Berry M, Buys SS, Crawford B, Farmer M, Friedman S, Garber JE, Khan S, Klein C, Kohlmann W, Kurian A, Litton JK, Madlensky L, Marcom PK, Merajver SD, Offit K, Pal T, Rana H, Reiser G, Robson ME, Shannon KM, Swisher E, Voian NC, Weitzel JN, Whelan A, Wick MJ, Wiesner GL, Dwyer M, Kumar R, Darlow S. Genetic/Familial High-Risk Assessment: Breast and Ovarian, Version 2.2015. J Natl Compr Canc Netw 2016; 14:153-62. [PMID: 26850485 DOI: 10.6004/jnccn.2016.0018] [Citation(s) in RCA: 120] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The NCCN Guidelines for Genetic/Familial High-Risk Assessment: Breast and Ovarian provide recommendations for genetic testing and counseling and risk assessment and management for hereditary cancer syndromes. Guidelines focus on syndromes associated with an increased risk of breast and/or ovarian cancer and are intended to assist with clinical and shared decision-making. These NCCN Guidelines Insights summarize major discussion points of the 2015 NCCN Genetic/Familial High-Risk Assessment: Breast and Ovarian panel meeting. Major discussion topics this year included multigene testing, risk management recommendations for less common genetic mutations, and salpingectomy for ovarian cancer risk reduction. The panel also discussed revisions to genetic testing criteria that take into account ovarian cancer histology and personal history of pancreatic cancer.
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Affiliation(s)
| | - Robert Pilarski
- The Ohio State University Comprehensive Cancer Center - James Cancer Hospital and Solove Research Institute
| | | | - Michael Berry
- St. Jude Children’s Research Hospital/The University of Tennessee Health Science Center
| | | | - Beth Crawford
- UCSF Helen Diller Family Comprehensive Cancer Center
| | - Meagan Farmer
- University of Alabama at Birmingham Comprehensive Cancer Center
| | | | | | - Seema Khan
- Robert H. Lurie Comprehensive Cancer Center of Northwestern University
| | | | | | | | | | | | | | | | | | | | - Huma Rana
- Dana-Farber/Brigham and Women’s Cancer Center
| | | | | | | | - Elizabeth Swisher
- University of Washington Medical Center/Seattle Cancer Care Alliance
| | | | | | - Alison Whelan
- Siteman Cancer Center at Barnes-Jewish Hospital and Washington University School of Medicine
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Hunter JE, Zepp JM, Davis JV, Bergen KM, Muessig KR, Peterson SK, Syngal S, Acheson LS, Wiesner GL, Reiss JA, Goddard KA. Universal Screen for Lynch Syndrome in an Integrated Health Care System: Assessment of Patient Perspectives and Sharing Results With At-Risk Relatives. J Patient Cent Res Rev 2016. [DOI: 10.17294/2330-0698.1328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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Wiesner GL, Lewis S, Holt J, Morgan RH, Riddle DA, Trump SA, McReynolds K. Abstract P6-06-01: The changing paradigm of hereditary cancer testing: Comparison of tests in 497 women with breast cancer evaluated at an NCI designated cancer center. Cancer Res 2016. [DOI: 10.1158/1538-7445.sabcs15-p6-06-01] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
The Hereditary Cancer Program at Vanderbilt-Ingram Cancer Center (VICC) was established in mid-2012 and provides cancer genetic services to patients and family members who are at risk for family cancer syndromes. During this time, the testing paradigm has markedly shifted from testing a small number of genes to a larger multi-gene set.
HYPOTHESIS AND METHODS:
We hypothesized that multi-gene testing would identify a higher rate of pathogenic mutations in breast cancer patients than the standard BRCA1/2 testing paradigm. To test this notion, we examined the records of 641 women with breast cancer seen in our clinic from July 2012 through Dec 2014 and tabulated the test outcome in women tested for BRCA1/2 only and women who had multi-gene panels. Patient characteristics were compared between the two groups.
RESULTS: Excluding 17 (3%) women with a known familial mutation and the 127 (20%) women who did not proceed with testing, 497 women had usual Sanger BRCA1/2 (189; 38%) or a multi-gene NGS testing (308; 62%). 40 (13%) women were found to have a pathogenic mutation using the multi-gene panel compared to 13 (6%) women who had a restricted BRCA1/2 sequencing (P=0.035, Fishers Exact Test). The 13 women with Sanger BRCA1/2 were younger at diagnosis (40.6 vs 48 yrs) and more likely to have triple negative (TN) disease (38% vs 18%) compared to the 40 women diagnosed with multi-gene panels. TN disease was not confined to BRCA1 carriers, however, as 3 of 7 TN patients had a mutation in BRCA2, PALB2, and ATM, respectively. Thus, 29% (2/7) of our triple negative patients would not have been identified without multi-gene panels. In addition to BRCA1 (6; 15%) and BRCA2 (5; 12.5%), 6 women had mutations in ATM (15%), 7 in CHEK2 (17.5%), 6 in MUTYH (15%), 4 in PALB2 (10%), 2 in TP53 (5%), and 1 each in FANCC, PMS2, RAD51D and XRCC2 (2.5% each). 105 patients (35%) who did not have a deleterious mutation on a multi-gene panel were found to have one or more variants of uncertain significance (VUS) compared to 4 patients who underwent BRCA1/2 testing alone (4/189; 2%). There was a significant difference between providers when ordering hereditary cancer testing, with MD or NP ordering panel testing at a greater rate compared to Genetic Counselors (72% vs 53%; P< 0.0001).
CONCLUSION: We have examined the outcomes of genetic tests for 497 women with breast cancer during a time of great change in the approach to testing. Our study supports the paradigm that multi-gene panels will identify additional pathogenic mutations in genes other than BRCA1/2, which could increase clinical efficiency and improve patient outcomes. However, our study also found a high VUS rate in this group of patients, which will require additional clinical time to track for potential changes in pathogenicity. Future studies will focus on potential differences in management for patients found to have alterations on multi-gene tests.
Citation Format: Wiesner GL, Lewis S, Holt J, Morgan RH, Riddle DA, Trump SA, McReynolds K. The changing paradigm of hereditary cancer testing: Comparison of tests in 497 women with breast cancer evaluated at an NCI designated cancer center. [abstract]. In: Proceedings of the Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2015 Dec 8-12; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2016;76(4 Suppl):Abstract nr P6-06-01.
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Affiliation(s)
- GL Wiesner
- Vanderbilt-Ingram Cancer Center, Nashville, TN
| | - S Lewis
- Vanderbilt-Ingram Cancer Center, Nashville, TN
| | - J Holt
- Vanderbilt-Ingram Cancer Center, Nashville, TN
| | - RH Morgan
- Vanderbilt-Ingram Cancer Center, Nashville, TN
| | - DA Riddle
- Vanderbilt-Ingram Cancer Center, Nashville, TN
| | - SA Trump
- Vanderbilt-Ingram Cancer Center, Nashville, TN
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Schneider JL, Davis J, Kauffman TL, Reiss JA, McGinley C, Arnold K, Zepp J, Gilmore M, Muessig KR, Syngal S, Acheson L, Wiesner GL, Peterson SK, Goddard KAB. Stakeholder perspectives on implementing a universal Lynch syndrome screening program: a qualitative study of early barriers and facilitators. Genet Med 2016; 18:152-61. [PMID: 25880440 PMCID: PMC4608844 DOI: 10.1038/gim.2015.43] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2014] [Accepted: 02/23/2015] [Indexed: 01/02/2023] Open
Abstract
PURPOSE Evidence-based guidelines recommend that all newly diagnosed colon cancer be screened for Lynch syndrome (LS), but best practices for implementing universal tumor screening have not been extensively studied. We interviewed a range of stakeholders in an integrated health-care system to identify initial factors that might promote or hinder the successful implementation of a universal LS screening program. METHODS We conducted interviews with health-plan leaders, managers, and staff. Interviews were audio-recorded and transcribed. Thematic analysis began with a grounded approach and was also guided by the Practical Robust Implementation and Sustainability Model (PRISM). RESULTS We completed 14 interviews with leaders/managers and staff representing involved clinical and health-plan departments. Although stakeholders supported the concept of universal screening, they identified several internal (organizational) and external (environment) factors that promote or hinder implementation. Facilitating factors included perceived benefits of screening for patients and organization, collaboration between departments, and availability of organizational resources. Barriers were also identified, including: lack of awareness of guidelines, lack of guideline clarity, staffing and program "ownership" concerns, and cost uncertainties. Analysis also revealed nine important infrastructure-type considerations for successful implementation. CONCLUSION We found that clinical, laboratory, and administrative departments supported universal tumor screening for LS. Requirements for successful implementation may include interdepartmental collaboration and communication, patient and provider/staff education, and significant infrastructure and resource support related to laboratory processing and systems for electronic ordering and tracking.
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Affiliation(s)
| | - James Davis
- Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon, USA
| | - Tia L Kauffman
- Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon, USA
| | - Jacob A Reiss
- Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon, USA
| | - Cheryl McGinley
- Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon, USA
| | - Kathleen Arnold
- Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon, USA
| | - Jamilyn Zepp
- Northwest Permanente, Kaiser Permanente Northwest, Portland, Oregon, USA
| | - Marian Gilmore
- Northwest Permanente, Kaiser Permanente Northwest, Portland, Oregon, USA
| | - Kristin R Muessig
- Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon, USA
| | - Sapna Syngal
- Dana-Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Louise Acheson
- Case Western Reserve University, University Hospitals Case Medical Center, Cleveland, Ohio, USA
| | - Georgia L Wiesner
- Vanderbilt Hereditary Cancer Program, Vanderbilt-Ingram Cancer Center, Nashville, Tennessee, USA
| | - Susan K Peterson
- The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Katrina A B Goddard
- Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon, USA
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Melas M, Luu HN, Rennert G, Lejbkowicz F, Gruber SB, Wiesner GL, Raskin L. Abstract 2745: Exome sequencing analysis of 41 patients with Familial Colorectal Cancer Type X (FCCTX). Epidemiology 2015. [DOI: 10.1158/1538-7445.am2015-2745] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Hunter JE, Zepp JM, Gilmore MJ, Davis JV, Esterberg EJ, Muessig KR, Peterson SK, Syngal S, Acheson LS, Wiesner GL, Reiss JA, Goddard KAB. Universal tumor screening for Lynch syndrome: Assessment of the perspectives of patients with colorectal cancer regarding benefits and barriers. Cancer 2015; 121:3281-9. [PMID: 26036338 PMCID: PMC4560979 DOI: 10.1002/cncr.29470] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2015] [Revised: 03/12/2015] [Accepted: 04/21/2015] [Indexed: 12/03/2022]
Abstract
BACKGROUND Universal tumor screening for Lynch syndrome, the most common form of hereditary colorectal cancer (CRC), has been recommended among all patients newly diagnosed with CRC. However, there is limited literature regarding patient perspectives of tumor screening for Lynch syndrome among patients with CRC who are not selected for screening based on family history criteria. METHODS A total of 145 patients aged 39 to 87 years were administered surveys assessing perceived risk, patient perspectives, and potential benefits of and barriers to tumor screening for Lynch syndrome. Associations between patient‐specific and cancer‐specific factors and survey responses were analyzed. RESULTS The majority of participants perceived their risk of developing Lynch syndrome as being low, with 9 participants (6.2%) anticipating an abnormal screening result. However, most participants endorsed the potential benefits of screening for themselves and their families, with 84.8% endorsing ≥6 benefits and 50.3% endorsing all 8 benefits. Participants also endorsed few potential barriers to screening, with 89.4% endorsing ≤4 of 9 potential barriers. A common barrier was worry about the cost of additional testing and surveillance, which was endorsed by 54.5% of participants. The level of distress associated with tumor screening for Lynch syndrome, which was very low, was not associated with age or CRC stage. CONCLUSIONS The results of the current study indicate that patients with CRC overall have a positive attitude toward tumor screening for Lynch syndrome, endorse the benefits of screening, and experience low levels of distress. These findings provide insight into patient attitudes toward tumor screening for Lynch syndrome among unselected patients with CRC to inform educational approaches that assist in patient decision‐making and guide the successful implementation of screening programs. Cancer 2015;121:3281–3289. © 2015 American Cancer Society. In the current study, perspectives among patients newly diagnosed with colorectal cancer are assessed regarding universal tumor screening for Lynch syndrome. The majority of patients appear to have a positive attitude toward screening and endorse the benefits for themselves and their families, whereas potential barriers include concerns over the cost of additional genetic counseling and testing.
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Affiliation(s)
| | - Jamilyn M Zepp
- Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon
| | - Mari J Gilmore
- Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon
| | - James V Davis
- Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon
| | | | - Kristin R Muessig
- Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon
| | - Susan K Peterson
- Department of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Sapna Syngal
- Division of Medical Oncology, Department of Medicine, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Louise S Acheson
- Department of Family Medicine and Community Health, Department of Reproductive Biology, Case Western Reserve University and University Hospitals Case Medical Center, Cleveland, Ohio
| | - Georgia L Wiesner
- Vanderbilt Hereditary Cancer Program, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University, Nashville, Tennessee
| | - Jacob A Reiss
- Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon
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Oxnard GR, Heng JC, Root EJ, Rainville IR, Sable-Hunt AL, Shane-Carson KP, Carbone DP, Wiesner GL, Garber JE. Initial results of a prospective, multicenter trial to study inherited lung cancer risk associated with germline EGFR T790M: INHERIT EGFR. J Clin Oncol 2015. [DOI: 10.1200/jco.2015.33.15_suppl.1505] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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Hampel H, Bennett RL, Buchanan A, Pearlman R, Wiesner GL. A practice guideline from the American College of Medical Genetics and Genomics and the National Society of Genetic Counselors: referral indications for cancer predisposition assessment. Genet Med 2014; 17:70-87. [PMID: 25394175 DOI: 10.1038/gim.2014.147] [Citation(s) in RCA: 348] [Impact Index Per Article: 34.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2014] [Accepted: 09/12/2014] [Indexed: 12/12/2022] Open
Abstract
DISCLAIMER The practice guidelines of the American College of Medical Genetics and Genomics (ACMG) and the National Society of Genetic Counselors (NSGC) are developed by members of the ACMG and NSGC to assist medical geneticists, genetic counselors, and other health-care providers in making decisions about appropriate management of genetic concerns, including access to and/or delivery of services. Each practice guideline focuses on a clinical or practice-based issue and is the result of a review and analysis of current professional literature believed to be reliable. As such, information and recommendations within the ACMG and NSGC joint practice guidelines reflect the current scientific and clinical knowledge at the time of publication, are current only as of their publication date, and are subject to change without notice as advances emerge. In addition, variations in practice, which take into account the needs of the individual patient and the resources and limitations unique to the institution or type of practice, may warrant approaches, treatments, and/or procedures that differ from the recommendations outlined in this guideline. Therefore, these recommendations should not be construed as dictating an exclusive course of management, nor does the use of such recommendations guarantee a particular outcome. Genetic counseling practice guidelines are never intended to displace a health-care provider's best medical judgment based on the clinical circumstances of a particular patient or patient population. Practice guidelines are published by the ACMG or the NSGC for educational and informational purposes only, and neither the ACMG nor the NSGC "approve" or "endorse" any specific methods, practices, or sources of information.Cancer genetic consultation is an important aspect of the care of individuals at increased risk of a hereditary cancer syndrome. Yet several patient, clinician, and system-level barriers hinder identification of individuals appropriate for cancer genetics referral. Thus, the purpose of this practice guideline is to present a single set of comprehensive personal and family history criteria to facilitate identification and maximize appropriate referral of at-risk individuals for cancer genetic consultation. To develop this guideline, a literature search for hereditary cancer susceptibility syndromes was conducted using PubMed. In addition, GeneReviews and the National Comprehensive Cancer Network guidelines were reviewed when applicable. When conflicting guidelines were identified, the evidence was ranked as follows: position papers from national and professional organizations ranked highest, followed by consortium guidelines, and then peer-reviewed publications from single institutions. The criteria for cancer genetic consultation referral are provided in two formats: (i) tables that list the tumor type along with the criteria that, if met, would warrant a referral for a cancer genetic consultation and (ii) an alphabetical list of the syndromes, including a brief summary of each and the rationale for the referral criteria that were selected. Consider referral for a cancer genetic consultation if your patient or any of their first-degree relatives meet any of these referral criteria.
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Affiliation(s)
- Heather Hampel
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio, USA
| | - Robin L Bennett
- Genetic Medicine Clinic, Department of Medicine, University of Washington Medical Center, Seattle, Washington, USA
| | - Adam Buchanan
- Cancer Prevention, Detection and Control Research Program, Duke Cancer Institute, Duke University, Durham, North Carolina, USA
| | - Rachel Pearlman
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio, USA
| | - Georgia L Wiesner
- Clinical and Translational Hereditary Cancer Program, Division of Genetic Medicine, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University, Nashville, Tennessee, USA
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Daly MB, Pilarski R, Axilbund JE, Buys SS, Crawford B, Friedman S, Garber JE, Horton C, Kaklamani V, Klein C, Kohlmann W, Kurian A, Litton J, Madlensky L, Marcom PK, Merajver SD, Offit K, Pal T, Pasche B, Reiser G, Shannon KM, Swisher E, Voian NC, Weitzel JN, Whelan A, Wiesner GL, Dwyer MA, Kumar R. Genetic/Familial High-Risk Assessment: Breast and Ovarian, Version 1.2014. J Natl Compr Canc Netw 2014; 12:1326-38. [DOI: 10.6004/jnccn.2014.0127] [Citation(s) in RCA: 108] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Guda K, Fink SP, Milne GL, Molyneaux N, Ravi L, Lewis SM, Dannenberg AJ, Montgomery CG, Zhang S, Willis J, Wiesner GL, Markowitz SD. Inactivating mutation in the prostaglandin transporter gene, SLCO2A1, associated with familial digital clubbing, colon neoplasia, and NSAID resistance. Cancer Prev Res (Phila) 2014; 7:805-12. [PMID: 24838973 DOI: 10.1158/1940-6207.capr-14-0108] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
HPGDand SLCO2A1 genes encode components of the prostaglandin catabolic pathway, with HPGD encoding the degradative enzyme 15-hydroxyprostaglandin dehydrogenase (15-PGDH), and SLCO2A1 encoding the prostaglandin transporter PGT that brings substrate to 15-PGDH. HPGD-null mice show increased prostaglandin E2 (PGE2), marked susceptibility to developing colon tumors, and resistance to colon tumor prevention by nonsteroidal anti-inflammatory drugs (NSAID). But in humans, HPGD and SLCO2A1 mutations have only been associated with familial digital clubbing. We, here, characterize a family with digital clubbing and early-onset colon neoplasia. Whole-exome sequencing identified a heterozygous nonsense mutation (G104X) in the SLCO2A1 gene segregating in 3 males with digital clubbing. Two of these males further demonstrated notably early-onset colon neoplasia, 1 with an early-onset colon cancer and another with an early-onset sessile serrated colon adenoma. Two females also carried the mutation, and both these women developed sessile serrated colon adenomas without any digital clubbing. Males with clubbing also showed marked elevations in the levels of urinary prostaglandin E2 metabolite, PGE-M, whereas, female mutation carriers were in the normal range. Furthermore, in the male proband, urinary PGE-M remained markedly elevated during NSAID treatment with either celecoxib or sulindac. Thus, in this human kindred, a null SLCO2A1 allele mimics the phenotype of the related HPGD-null mouse, with increased prostaglandin levels that cannot be normalized by NSAID therapy, plus with increased colon neoplasia. The development of early-onset colon neoplasia in male and female human SLCO2A1 mutation carriers suggests that disordered prostaglandin catabolism can mediate inherited susceptibility to colon neoplasia in man.
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Affiliation(s)
- Kishore Guda
- Division of General Medical Sciences-Oncology, Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine
| | | | | | | | | | | | - Andrew J Dannenberg
- Department of Medicine, Weill Cornell Medical College, New York, New York; and
| | - Courtney G Montgomery
- Arthritis and Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, Oklahoma
| | | | - Joseph Willis
- Pathology, Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine; University Hospitals Case Medical Center, Cleveland, Ohio
| | - Georgia L Wiesner
- Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Sanford D Markowitz
- Division of Hematology and Oncology, Departments of Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine; University Hospitals Case Medical Center, Cleveland, Ohio;
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Oxnard GR, Heng JC, Rainville IR, Dahlberg SE, Sable-Hunt AL, Wiesner GL, Taylor KA, Jackman DM, Janne PA, Garber JE. Investigating hereditary risk from T790M (inherit): A prospective multicentered study of risk associated with germ-line EGFR T790M. J Clin Oncol 2013. [DOI: 10.1200/jco.2013.31.15_suppl.tps1606] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
TPS1606 Background: The EGFR T790M mutation, commonly associated with acquired resistance to EGFR kinase inhibitors, has also been seen as a germline mutation in association with familial lung cancer. In collaboration with the Addario Lung Cancer Medical Institute (www.ALCMI.net), we initiated a prospective trial to identify patients and families carrying germline EGFR mutations in order to characterize their cancer risk. Preliminary data: In a prior study (Oxnard et al, JTO, 2012), it was found that patients with lung cancers found to harbor EGFRT790M at diagnosis have a 50% chance of carrying an underlying germline T790M mutation. This suggests that study of patients known to carry T790M in their cancer will enrich for a germline event that otherwise is too rare to study prospectively. Subject eligibility: Three cohorts are eligible: (1) Patients with a cancer (lung or other) harboring EGFR T790M on tumor genotyping; lung cancers that acquire EGFR T790M only after treatment are ineligible. (2) First-degree relatives of patients carrying a germline EGFR mutation. (3) Patients already known to carry a germline EGFRmutation on prior testing. Subjects are referred to cohort 1 based upon routine genotyping results from commercial laboratories (e.g. Response Genetics Inc., Los Angeles, CA). Methods: Subjects may present at a participating cancer center or may participate remotely through a study website (www.Dana-Farber.org/T790Mstudy). Eligible patients submit a saliva and/or blood specimen for central testing in a CLIA lab. After counseling, patients carrying germline EGFR mutations have the option of inviting first-degree relatives to participate. Genetic counseling is coordinated at the participating center or offered over the phone. Chest CT scans are collected from germline carriers and analyzed centrally to study nodule characteristics. Patients are clinically followed for 2 years. At time of submission, 6 subjects have enrolled from 3 different families and 4 different US states. (NCT01754025) Funding: Supported by grants from the Conquer Cancer Foundation of ASCO and the Bonnie J. Addario Lung Cancer Foundation. Clinical trial information: NCT01754025.
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Edwards KL, Lemke AA, Trinidad SB, Lewis SM, Starks H, Quinn Griffin MT, Wiesner GL. Attitudes toward genetic research review: results from a survey of human genetics researchers. Public Health Genomics 2011; 14:337-45. [PMID: 21487211 PMCID: PMC3221257 DOI: 10.1159/000324931] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2010] [Accepted: 02/04/2011] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Researchers often relate personal experiences of difficulties and challenges with Institutional Review Board (IRB) review of their human genetic research protocols. However, there have been no studies that document the range and frequency of these concerns among researchers conducting human genetic/genomic studies. METHODS An online anonymous survey was used to collect information from human genetic researchers regarding views about IRB review of genetic protocols. Logistic regression was used to test specific hypotheses. Results from the national online survey of 351 human genomic researchers are summarized in this report. RESULTS Issues involving considerable discussion with IRBs included reconsent of subjects (51%), protection of participants' personal information (39%) and return of results to participants (34%). Over half of the participants had experienced one or more negative consequences of the IRB review process and approximately 25% had experienced one or more positive consequences. Respondents who had served on an IRB were about 80% more likely to report positive consequences of IRB review than their colleagues who had never served on an IRB (p = 0.03). Survey responses were mixed on the need for reconsent before data sharing and risks related to participant reidentification from genomic data. CONCLUSION The results from this study provide important perspectives of researchers regarding genetic research review and show lack of consensus on key research ethics issues in genomic research.
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Affiliation(s)
- K L Edwards
- Department of Epidemiology, University of Washington, Seattle, WA 98115, USA.
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Gray-McGuire C, Guda K, Adrianto I, Lin CP, Natale L, Potter JD, Newcomb P, Poole EM, Ulrich CM, Lindor N, Goode EL, Fridley BL, Jenkins R, Le Marchand L, Casey G, Haile R, Hopper J, Jenkins M, Young J, Buchanan D, Gallinger S, Adams M, Lewis S, Willis J, Elston R, Markowitz SD, Wiesner GL. Confirmation of linkage to and localization of familial colon cancer risk haplotype on chromosome 9q22. Cancer Res 2010; 70:5409-18. [PMID: 20551049 DOI: 10.1158/0008-5472.can-10-0188] [Citation(s) in RCA: 41] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Genetic risk factors are important contributors to the development of colorectal cancer. Following the definition of a linkage signal at 9q22-31, we fine mapped this region in an independent collection of colon cancer families. We used a custom array of single-nucleotide polymorphisms (SNP) densely spaced across the candidate region, performing both single-SNP and moving-window association analyses to identify a colon neoplasia risk haplotype. Through this approach, we isolated the association effect to a five-SNP haplotype centered at 98.15 Mb on chromosome 9q. This haplotype is in strong linkage disequilibrium with the haplotype block containing HABP4 and may be a surrogate for the effect of this CD30 Ki-1 antigen. It is also in close proximity to GALNT12, also recently shown to be altered in colon tumors. We used a predictive modeling algorithm to show the contribution of this risk haplotype and surrounding candidate genes in distinguishing between colon cancer cases and healthy controls. The ability to replicate this finding, the strength of the haplotype association (odds ratio, 3.68), and the accuracy of our prediction model (approximately 60%) all strongly support the presence of a locus for familial colon cancer on chromosome 9q.
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Affiliation(s)
- Courtney Gray-McGuire
- Department of Arthritis and Immunology, Oklahoma Medical Research Foundation, Oklahoma City, Oklahoma, USA
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Lemke AA, Trinidad SB, Edwards KL, Starks H, Wiesner GL. Attitudes toward genetic research review: results from a national survey of professionals involved in human subjects protection. J Empir Res Hum Res Ethics 2010; 5:83-91. [PMID: 20235866 DOI: 10.1525/jer.2010.5.1.83] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The recent expansion of human genetics research has raised complex ethical and regulatory issues. However, few published reports describe the views of professionals involved in human subjects protection (HSP) regarding the risks and benefits of genetic research. This anonymous, web-based study elicited the opinions of 208 HSP professionals about review of genetic research. The majority of respondents felt that different guidance is needed for various aspects of genetic protocol review compared with other types of human subjects research. Importantly, opinions were divided on specific genetic research issues, such as what constitutes human subjects research, when to re-consent, and the likelihood and risks of research participant identification. Findings from this study illustrate the need for a collaborative approach to ethics oversight in the review and conduct of genetic research.
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Affiliation(s)
- Amy A Lemke
- Center for Genetic Medicine, Northwestern University, Chicago, IL 60611, USA.
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Guda K, Natale L, Lutterbaugh J, Wiesner GL, Lewis S, Tanner SM, Tomsic J, Valle L, de la Chapelle A, Elston RC, Willis J, Markowitz SD. Infrequent detection of germline allele-specific expression of TGFBR1 in lymphoblasts and tissues of colon cancer patients. Cancer Res 2009; 69:4959-61. [PMID: 19509225 PMCID: PMC2739986 DOI: 10.1158/0008-5472.can-09-0225] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Recently, germline allele-specific expression (ASE) of the gene encoding for transforming growth factor-beta type I receptor (TGFBR1) has been proposed to be a major risk factor for cancer predisposition in the colon. Germline ASE results in a lowered expression of one of the TGFBR1 alleles (>1.5-fold), and was shown to occur in approximately 20% of informative familial and sporadic colorectal cancer (CRC) cases. In the present study, using the highly quantitative pyrosequencing technique, we estimated the frequency of ASE in TGFBR1 in a cohort of affected individuals from familial clusters of advanced colon neoplasias (cancers and adenomas with high-grade dysplasia), and also from a cohort of individuals with sporadic CRCs. Cases were considered positive for the presence of ASE if demonstrating an allelic expression ratio <0.67 or >1.5. Using RNA derived from lymphoblastoid cell lines, we find that of 46 informative Caucasian advanced colon neoplasia cases with a family history, only 2 individuals display a modest ASE, with allelic ratios of 1.65 and 1.73, respectively. Given that ASE of TGFBR1, if present, would likely be more pronounced in the colon compared with other tissues, we additionally determined the allele ratios of TGFBR1 in the RNA derived from normal-appearing colonic mucosa of sporadic CRC cases. We, however, found no evidence of ASE in any of 44 informative sporadic cases analyzed. Taken together, we find that germline ASE of TGFBR1, as assayed in lymphoblastoid and colon epithelial cells of colon cancer patients, is a relatively rare event.
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Affiliation(s)
- Kishore Guda
- Department of Medicine, Ireland Cancer Center, Ohio, USA
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