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Venkataraman V, Martin-Giacalone BA, Drake BF, Salmi L, Claus EB, Schuster ALR, Bridges JFP, Lenz HJ, Willman CL, Diehl D, Janeway KA, Mack JW, George S. Overcoming Systemic Barriers to Make Patient-Partnered Research a Reality. J Clin Oncol 2024:JCO2400347. [PMID: 39094073 DOI: 10.1200/jco.24.00347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2024] [Revised: 04/24/2024] [Accepted: 05/20/2024] [Indexed: 08/04/2024] Open
Affiliation(s)
- Vinayak Venkataraman
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
| | | | - Bettina F Drake
- Washington University School of Medicine, St Louis, MO
- Alvin J. Siteman Cancer Center, St Louis, MO
| | - Liz Salmi
- Beth Israel Deaconess Medical Center, Boston, MA
| | - Elizabeth B Claus
- Department of Biostatistics, Yale School of Public Health, New Haven, CT
- Department of Neurosurgery, Brigham and Women's Hospital, Boston, MA
| | | | | | - Heinz-Josef Lenz
- Keck School of Medicine of USC, Los Angeles, CA
- Norris Comprehensive Cancer Center, Los Angeles, CA
| | - Cheryl L Willman
- Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, MN
- The University of New Mexico School of Medicine, Albuquerque, NM
| | - Diane Diehl
- Count Me In, The Broad Institute of MIT and Harvard, Boston, MA
| | - Katherine A Janeway
- Harvard Medical School, Boston, MA
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA
| | - Jennifer W Mack
- Harvard Medical School, Boston, MA
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA
| | - Suzanne George
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
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Jamal L, May M, Setzer MR, Yu M, Berkman B, Similuk M. Research participants' perspectives about the return of uninformative genomic test results in a clinical research setting. J Genet Couns 2024; 33:689-698. [PMID: 37641538 PMCID: PMC10899523 DOI: 10.1002/jgc4.1772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 08/03/2023] [Accepted: 08/06/2023] [Indexed: 08/31/2023]
Abstract
The majority of genomic sequencing and microarray results are clinically uninformative, meaning that they do not suggest a need for any behavioral action or medical intervention. Prior studies have shown that recipients of uninformative genomic testing results ("uninformative results" hereafter) may incorrectly interpret them to imply a lowered risk of disease or false reassurance about future health risks. Few studies have examined how patients understand uninformative results when they are returned in a research setting, where there is wide variation in analytical specifications of testing, interpretation and reporting practices, and resources to support the return of results. We conducted cross-sectional interviews (N = 17) to explore how a subset of research participants in one genomics study at the National Institutes of Health reacted to and understood their uninformative test results, which were returned to them via a patient portal without genetic counseling. We found that most participants did not remember the details of the informed consent process, including the distinction between "primary" and "secondary" findings. Participants had questions about what genes were tested for and, in most cases, requested a list of the genes covered. Several participants incorrectly assumed that autosomal recessive carrier results would have been reported to them if detected. Some participants interpreted their uninformative results to mean that they could forgo prenatal testing, and participants had mixed expectations about whether their results might be reinterpreted in the future. These themes suggest that there are specific challenges to returning uninformative results in research settings. Educational supplements to uninformative test reports may be most useful if they contextualize results in relation to other types of clinical genetic or genomic testing that may be made available to research participants in their lifetimes.
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Affiliation(s)
- Leila Jamal
- Center for Cancer Research, Genetics Branch, National Cancer Institute, Bethesda, Maryland
- NIH Clinical Center Department of Bioethics, Bethesda, Maryland
| | - Makenna May
- Department of Health, Behavior, and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Medical Genetics and Genomics Branch, National Human Genome Research Institute, Bethesda, Maryland
- National Institute of Allergy and Infectious Diseases, Bethesda, Maryland
| | - Michael R. Setzer
- National Institute of Allergy and Infectious Diseases, Bethesda, Maryland
| | - Mary Yu
- National Institute of Allergy and Infectious Diseases, Bethesda, Maryland
| | - Benjamin Berkman
- NIH Clinical Center Department of Bioethics, Bethesda, Maryland
- Bioethics Core, National Human Genome Research Institute, Bethesda, Maryland
| | - Morgan Similuk
- National Institute of Allergy and Infectious Diseases, Bethesda, Maryland
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Clayton EW, Smith ME, Anderson KC, Chung WK, Connolly JJ, Fullerton SM, McGowan ML, Peterson JF, Prows CA, Sabatello M, Holm IA. Studying the impact of translational genomic research: Lessons from eMERGE. Am J Hum Genet 2023; 110:1021-1033. [PMID: 37343562 PMCID: PMC10357472 DOI: 10.1016/j.ajhg.2023.05.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 05/22/2023] [Accepted: 05/23/2023] [Indexed: 06/23/2023] Open
Abstract
Two major goals of the Electronic Medical Record and Genomics (eMERGE) Network are to learn how best to return research results to patient/participants and the clinicians who care for them and also to assess the impact of placing these results in clinical care. Yet since its inception, the Network has confronted a host of challenges in achieving these goals, many of which had ethical, legal, or social implications (ELSIs) that required consideration. Here, we share impediments we encountered in recruiting participants, returning results, and assessing their impact, all of which affected our ability to achieve the goals of eMERGE, as well as the steps we took to attempt to address these obstacles. We divide the domains in which we experienced challenges into four broad categories: (1) study design, including recruitment of more diverse groups; (2) consent; (3) returning results to participants and their health care providers (HCPs); and (4) assessment of follow-up care of participants and measuring the impact of research on participants and their families. Since most phases of eMERGE have included children as well as adults, we also address the particular ELSI posed by including pediatric populations in this research. We make specific suggestions for improving translational genomic research to ensure that future projects can effectively return results and assess their impact on patient/participants and providers if the goals of genomic-informed medicine are to be achieved.
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Affiliation(s)
- Ellen Wright Clayton
- Center for Biomedical Ethics and Society, Departments of Pediatrics and Health Policy, Vanderbilt University Medical Center, Nashville, TN 37203, USA.
| | - Maureen E Smith
- Department of Medicine, Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Katherine C Anderson
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Wendy K Chung
- Departments of Pediatrics and Medicine, Columbia University, New York, NY 10032, USA
| | - John J Connolly
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Stephanie M Fullerton
- Department of Bioethics & Humanities, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Michelle L McGowan
- Biomedical Ethics Research Program, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA; Department of Women's, Gender, and Sexuality Studies, University of Cincinnati, Cincinnati, OH 45221, USA
| | - Josh F Peterson
- Center for Precision Medicine, Department of Biomedical Informatics, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37203, USA
| | - Cynthia A Prows
- Divisions of Human Genetics and Patient Services, Cincinnati Children's Hospital, Cincinnati, OH 45229, USA
| | - Maya Sabatello
- Center for Precision Medicine & Genomics, Department of Medicine, and Division of Ethics, Department of Medical Humanities & Ethics Columbia University Vagelos College of Physicians and Surgeons, NY, NY 10032, USA
| | - Ingrid A Holm
- Division of Genetics and Genomics, Boston Children's Hospital; Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
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Vears DF, Hallowell N, Bentzen HB, Ellul B, Nøst TH, Kerasidou A, Kerr SM, Th Mayrhofer M, Mežinska S, Ormondroyd E, Solberg B, Sand BW, Budin-Ljøsne I. A practical checklist for return of results from genomic research in the European context. Eur J Hum Genet 2023; 31:687-695. [PMID: 36949262 PMCID: PMC10250331 DOI: 10.1038/s41431-023-01328-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 02/13/2023] [Accepted: 02/21/2023] [Indexed: 03/24/2023] Open
Abstract
An increasing number of European research projects return, or plan to return, individual genomic research results (IRR) to participants. While data access is a data subject's right under the General Data Protection Regulation (GDPR), and many legal and ethical guidelines allow or require participants to receive personal data generated in research, the practice of returning results is not straightforward and raises several practical and ethical issues. Existing guidelines focusing on return of IRR are mostly project-specific, only discuss which results to return, or were developed outside Europe. To address this gap, we analysed existing normative documents identified online using inductive content analysis. We used this analysis to develop a checklist of steps to assist European researchers considering whether to return IRR to participants. We then sought feedback on the checklist from an interdisciplinary panel of European experts (clinicians, clinical researchers, population-based researchers, biobank managers, ethicists, lawyers and policy makers) to refine the checklist. The checklist outlines seven major components researchers should consider when determining whether, and how, to return results to adult research participants: 1) Decide which results to return; 2) Develop a plan for return of results; 3) Obtain participant informed consent; 4) Collect and analyse data; 5) Confirm results; 6) Disclose research results; 7) Follow-up and monitor. Our checklist provides a clear outline of the steps European researchers can follow to develop ethical and sustainable result return pathways within their own research projects. Further legal analysis is required to ensure this checklist complies with relevant domestic laws.
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Affiliation(s)
- Danya F Vears
- Biomedical Ethics Research Group, Murdoch Children's Research Institute, Parkville, VIC, 3052, Australia.
- University of Melbourne, Parkville, VIC, 3052, Australia.
- Centre for Biomedical Ethics and Law, KU Leuven, Leuven, 3000, Belgium.
- Uehiro Centre for Practical Ethics, University of Oxford, Oxford, OX3 7RF, UK.
| | - Nina Hallowell
- Ethox Centre and Wellcome Centre for Ethics and Humanities, Nuffield department of Population Health, University of Oxford, Oxford, OX3 7RF, UK
| | - Heidi Beate Bentzen
- Centre for Medical Ethics, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Bridget Ellul
- Centre for Molecular Medicine and Biobanking, University of Malta, Msida, Malta
| | - Therese Haugdahl Nøst
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, N-9037, Tromsø, Norway
- K. G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health, NTNU, Norwegian University of Science and Technology, N- 7491, Trondheim, Norway
| | - Angeliki Kerasidou
- Ethox Centre and Wellcome Centre for Ethics and Humanities, Nuffield department of Population Health, University of Oxford, Oxford, OX3 7RF, UK
| | - Shona M Kerr
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Edinburgh, EH4 2XU, UK
| | | | - Signe Mežinska
- Institute of Clinical and Preventive Medicine, University of Latvia, Riga, Latvia
| | - Elizabeth Ormondroyd
- Radcliffe Department of Medicine, NIHR Oxford Biomedical Research Centre United Kingdom, University of Oxford, Oxford, UK
| | - Berge Solberg
- Department of Public Health and Nursing, The Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | | | - Isabelle Budin-Ljøsne
- Division of Climate and Environmental Health, Department of Food Safety, Norwegian Institute of Public Health, Oslo, Norway
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Dikilitas O, Sherafati A, Saadatagah S, Satterfield BA, Kochan DC, Anderson KC, Chung WK, Hebbring SJ, Salvati ZM, Sharp RR, Sturm AC, Gibbs RA, Rowley R, Venner E, Linder JE, Jones LK, Perez EF, Peterson JF, Jarvik GP, Rehm HL, Zouk H, Roden DM, Williams MS, Manolio TA, Kullo IJ. Familial Hypercholesterolemia in the Electronic Medical Records and Genomics Network: Prevalence, Penetrance, Cardiovascular Risk, and Outcomes After Return of Results. CIRCULATION. GENOMIC AND PRECISION MEDICINE 2023; 16:e003816. [PMID: 37071725 PMCID: PMC10113961 DOI: 10.1161/circgen.122.003816] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 01/03/2023] [Indexed: 02/24/2023]
Abstract
BACKGROUND The implications of secondary findings detected in large-scale sequencing projects remain uncertain. We assessed prevalence and penetrance of pathogenic familial hypercholesterolemia (FH) variants, their association with coronary heart disease (CHD), and 1-year outcomes following return of results in phase III of the electronic medical records and genomics network. METHODS Adult participants (n=18 544) at 7 sites were enrolled in a prospective cohort study to assess the clinical impact of returning results from targeted sequencing of 68 actionable genes, including LDLR, APOB, and PCSK9. FH variant prevalence and penetrance (defined as low-density lipoprotein cholesterol >155 mg/dL) were estimated after excluding participants enrolled on the basis of hypercholesterolemia. Multivariable logistic regression was used to estimate the odds of CHD compared to age- and sex-matched controls without FH-associated variants. Process (eg, referral to a specialist or ordering new tests), intermediate (eg, new diagnosis of FH), and clinical (eg, treatment modification) outcomes within 1 year after return of results were ascertained by electronic health record review. RESULTS The prevalence of FH-associated pathogenic variants was 1 in 188 (69 of 13,019 unselected participants). Penetrance was 87.5%. The presence of an FH variant was associated with CHD (odds ratio, 3.02 [2.00-4.53]) and premature CHD (odds ratio, 3.68 [2.34-5.78]). At least 1 outcome occurred in 92% of participants; 44% received a new diagnosis of FH and 26% had treatment modified following return of results. CONCLUSIONS In a multisite cohort of electronic health record-linked biobanks, monogenic FH was prevalent, penetrant, and associated with presence of CHD. Nearly half of participants with an FH-associated variant received a new diagnosis of FH and a quarter had treatment modified after return of results. These results highlight the potential utility of sequencing electronic health record-linked biobanks to detect FH.
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Affiliation(s)
- Ozan Dikilitas
- Department of Internal Medicine (O.D.), Mayo Clinic, Rochester, MN
- Department of Cardiovascular Medicine (O.D., A.S., S.S., B.A.S., D.C.K., I.J.K.), Mayo Clinic, Rochester, MN
| | - Alborz Sherafati
- Department of Cardiovascular Medicine (O.D., A.S., S.S., B.A.S., D.C.K., I.J.K.), Mayo Clinic, Rochester, MN
| | - Seyedmohammad Saadatagah
- Department of Cardiovascular Medicine (O.D., A.S., S.S., B.A.S., D.C.K., I.J.K.), Mayo Clinic, Rochester, MN
| | - Benjamin A Satterfield
- Department of Cardiovascular Medicine (O.D., A.S., S.S., B.A.S., D.C.K., I.J.K.), Mayo Clinic, Rochester, MN
| | - David C Kochan
- Department of Cardiovascular Medicine (O.D., A.S., S.S., B.A.S., D.C.K., I.J.K.), Mayo Clinic, Rochester, MN
| | - Katherine C Anderson
- Department of Medicine (K.C.A., J.E.L., J.F.P.), Vanderbilt University Medical Center, Nashville, TN
| | - Wendy K Chung
- Departments of Pediatrics and Medicine, Columbia University Irving Medical Center, New York (W.K.C.)
| | | | - Zachary M Salvati
- Genomic Medicine Institute, Geisinger, Danville, PA (Z.M.S., A.C.S., L.K.J., M.S.W.)
| | - Richard R Sharp
- Biomedical Ethics Research Program (R.R.S.), Mayo Clinic, Rochester, MN
| | - Amy C Sturm
- Genomic Medicine Institute, Geisinger, Danville, PA (Z.M.S., A.C.S., L.K.J., M.S.W.)
| | - Richard A Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX (R.A.G., E.V.)
| | - Robb Rowley
- National Human Genome Research Institute, Bethesda, MD (R.R., T.A.M.)
| | - Eric Venner
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX (R.A.G., E.V.)
| | - Jodell E Linder
- Department of Medicine (K.C.A., J.E.L., J.F.P.), Vanderbilt University Medical Center, Nashville, TN
| | - Laney K Jones
- Genomic Medicine Institute, Geisinger, Danville, PA (Z.M.S., A.C.S., L.K.J., M.S.W.)
| | - Emma F Perez
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, MA (E.F.P.)
| | - Josh F Peterson
- Department of Medicine (K.C.A., J.E.L., J.F.P.), Vanderbilt University Medical Center, Nashville, TN
| | - Gail P Jarvik
- Departments of Medicine (Medical Genetics) and Genome Sciences, University of Washington Medical Center, Seattle (G.P.J.)
| | - Heidi L Rehm
- Laboratory for Molecular Medicine, Partners Healthcare Personalized Medicine, Cambridge (H.L.R., H.Z.)
| | - Hana Zouk
- Laboratory for Molecular Medicine, Partners Healthcare Personalized Medicine, Cambridge (H.L.R., H.Z.)
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston (H.Z.)
| | - Dan M Roden
- Departments of Medicine, Pharmacology, and Biomedical Informatics (D.M.R.), Vanderbilt University Medical Center, Nashville, TN
| | - Marc S Williams
- Genomic Medicine Institute, Geisinger, Danville, PA (Z.M.S., A.C.S., L.K.J., M.S.W.)
| | - Teri A Manolio
- National Human Genome Research Institute, Bethesda, MD (R.R., T.A.M.)
| | - Iftikhar J Kullo
- Department of Cardiovascular Medicine (O.D., A.S., S.S., B.A.S., D.C.K., I.J.K.), Mayo Clinic, Rochester, MN
- Gonda Vascular Ctr (I.J.K.), Mayo Clinic, Rochester, MN
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Outcomes of Returning Medically Actionable Genomic Results in Pediatric Research. J Pers Med 2022; 12:jpm12111910. [PMID: 36422086 PMCID: PMC9694255 DOI: 10.3390/jpm12111910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 11/07/2022] [Accepted: 11/09/2022] [Indexed: 11/17/2022] Open
Abstract
Purpose: The electronic Medical Records and Genomics (eMERGE) Phase III study was undertaken to assess clinical utility of returning medically actionable genomic screening results. We assessed pediatric clinical outcomes following return of pathogenic/likely pathogenic (P/LP) variants in autosomal dominant conditions with available effective interventions. Methods: The two eMERGE III pediatric sites collected outcome data and assessed changes in medical management at 6 and 12 months. Results: We returned P/LP results to 29 participants with outcome data. For 23 of the 29 participants, the P/LP results were previously unknown. Five of the 23 participants were already followed for conditions related to the P/LP variant. Of those receiving novel results and not being followed for the condition related to the P/LP result (n = 18), 14 (77.8%) had a change in healthcare after return of results (RoR). Following RoR, cascade testing of family members occurred for 10 of 23 (43.5%). Conclusions: The most common outcomes post-RoR included imaging/laboratory testing and health behavior recommendations. A change in healthcare was documented in 77.8% of those receiving results by 6 months. Our findings demonstrate how return of genomic screening results impacts healthcare in pediatric populations.
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Johnson LM, Mandrell BN, Li C, Lu Z, Gattuso J, Harrison LW, Mori M, Ouma AA, Pritchard M, Sharp KMH, Nichols KE. Managing Pandora's Box: Familial Expectations around the Return of (Future) Germline Results. AJOB Empir Bioeth 2022; 13:152-165. [PMID: 35471132 DOI: 10.1080/23294515.2022.2063994] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
BACKGROUND Pediatric oncology patients are increasingly being offered germline testing to diagnose underlying cancer predispositions. Meanwhile, as understanding of variant pathogenicity evolves, planned reanalysis of genomic results has been suggested. Little is known regarding the types of genomic information that parents and their adolescent children with cancer prefer to receive at the time of testing or their expectations around the future return of genomic results. METHODS Parents and adolescent children with cancer eligible for genomic testing for cancer predisposition were surveyed regarding their attitudes and expectations for receiving current and future germline results (ClinicalTrials.gov Identifier: NCT02530658). RESULTS All parents (100%) desired to learn about results for treatable or preventable conditions, with 92.4% wanting results even when there is no treatment or prevention. Parents expressed less interest in receiving uncertain results for themselves (88.3%) than for their children (95.3%). Most parents (95.9%) and adolescents (87.9%) believed that providers have a responsibility to share new or updated germline results indefinitely or at any point during follow-up care. Fewer parents (67.5%) indicated that they would want results if their child was deceased: 10.3% would not want to be contacted, 19.3% were uncertain. CONCLUSIONS Expectations for return of new or updated genomic results are high among pediatric oncology families, although up to one third of parents have reservations about receiving such information in the event of their child's death. These results underscore the importance of high-quality pre-and post-test counseling, conducted by individuals trained in consenting around genomic testing to elicit family preferences and align expectations around the return of germline results.
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Affiliation(s)
- Liza-Marie Johnson
- Department of Oncology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Belinda N Mandrell
- Department of Pediatrics, Division of Nursing Research, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Chen Li
- Department of Biostatistics, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Zhaohua Lu
- Department of Biostatistics, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Jami Gattuso
- Department of Pediatrics, Division of Nursing Research, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Lynn W Harrison
- Department of Oncology, Division of Cancer Predisposition, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Motomi Mori
- Department of Biostatistics, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Annastasia A Ouma
- Department of Oncology, Division of Cancer Predisposition, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Michele Pritchard
- Department of Pediatrics, Division of Nursing Research, St. Jude Children's Research Hospital, Memphis, TN, USA
| | | | - Kim E Nichols
- Department of Oncology, Division of Cancer Predisposition, St. Jude Children's Research Hospital, Memphis, TN, USA
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Linder JE, Bastarache L, Hughey JJ, Peterson JF. The Role of Electronic Health Records in Advancing Genomic Medicine. Annu Rev Genomics Hum Genet 2021; 22:219-238. [PMID: 34038146 PMCID: PMC9297710 DOI: 10.1146/annurev-genom-121120-125204] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Recent advances in genomic technology and widespread adoption of electronic health records (EHRs) have accelerated the development of genomic medicine, bringing promising research findings from genome science into clinical practice. Genomic and phenomic data, accrued across large populations through biobanks linked to EHRs, have enabled the study of genetic variation at a phenome-wide scale. Through new quantitative techniques, pleiotropy can be explored with phenome-wide association studies, the occurrence of common complex diseases can be predicted using the cumulative influence of many genetic variants (polygenic risk scores), and undiagnosed Mendelian syndromes can be identified using EHR-based phenotypic signatures (phenotype risk scores). In this review, we trace the role of EHRs from the development of genome-wide analytic techniques to translational efforts to test these new interventions to the clinic. Throughout, we describe the challenges that remain when combining EHRs with genetics to improve clinical care.
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Affiliation(s)
- Jodell E Linder
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee 37203, USA;
| | - Lisa Bastarache
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee 37203, USA; , ,
| | - Jacob J Hughey
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee 37203, USA; , ,
| | - Josh F Peterson
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee 37203, USA; , ,
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee 37203, USA
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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] [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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10
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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] [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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11
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Peltekova I, Buhas D, Stern L, Kirby E, Yusuf A, Elsabbagh M. Enhancing the Impact of Genomics Research in Autism through Integration of Research Results into Routine Care Pathways-A Case Series. J Pers Med 2021; 11:755. [PMID: 34442399 PMCID: PMC8400173 DOI: 10.3390/jpm11080755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 07/25/2021] [Accepted: 07/28/2021] [Indexed: 12/03/2022] Open
Abstract
The return of genetic results (RoR) to participants, enrolled as children, in autism research remains a complex process. Existing recommendations offer limited guidance on the use of genetic research results for clinical care. We highlight current challenges with RoR and illustrate how the use of a guiding framework drawn from existing literature facilitates RoR and the clinical integration of genetic research results. We report a case series (n = 16) involving the return of genetic results to participants in large genomics studies in Autism Spectrum Disorders (ASD). We outline the framework that guided RoR and facilitated integration into clinical care pathways. We highlight specific cases to illustrate challenges that were, or could have been, resolved through this framework. The case series demonstrates the ethical, clinical and practical difficulties of RoR in ASD genomic studies for participants enrolled as children. Challenges were resolved using pre-established framework to guide RoR and incorporate research genetic results into clinical care. We suggest that optimal use of genetic research results relies on their integration into individualized care pathways for participants. We offer a framework that attempts to bridge the gap between research and healthcare in ASD.
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Affiliation(s)
- Iskra Peltekova
- McGill University Health Centre, McGill University, Montreal, QC H3A 0G4, Canada; (D.B.); (L.S.); (M.E.)
- Montreal Children’s Hospital, McGill University Health Centre, Montreal, QC M4A 3J1, Canada
| | - Daniela Buhas
- McGill University Health Centre, McGill University, Montreal, QC H3A 0G4, Canada; (D.B.); (L.S.); (M.E.)
- Montreal Children’s Hospital, McGill University Health Centre, Montreal, QC M4A 3J1, Canada
| | - Lara Stern
- McGill University Health Centre, McGill University, Montreal, QC H3A 0G4, Canada; (D.B.); (L.S.); (M.E.)
- Montreal Children’s Hospital, McGill University Health Centre, Montreal, QC M4A 3J1, Canada
| | - Emily Kirby
- Centre of Genomics and Policy, McGill University, Montreal, QC H3A 0G1, Canada;
| | - Afiqah Yusuf
- Azrieli Centre for Autism Research, Montreal Neurological Institute, Montreal, QC H3A 2B4, Canada;
| | - Mayada Elsabbagh
- McGill University Health Centre, McGill University, Montreal, QC H3A 0G4, Canada; (D.B.); (L.S.); (M.E.)
- Azrieli Centre for Autism Research, Montreal Neurological Institute, Montreal, QC H3A 2B4, Canada;
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12
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Raymond MB, Cooper KE, Parker LS, Bonham VL. Practices and Attitudes toward Returning Genomic Research Results to Low-Resource Research Participants. Public Health Genomics 2021; 24:241-252. [PMID: 34229325 DOI: 10.1159/000516782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2020] [Accepted: 04/21/2021] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Many research programs are challenged to accommodate low-resource research participants' (LRRP) ancillary care needs when returning genomic research results. We define LRRP as those who are low income, uninsured, underinsured, or facing barriers to act upon the results returned. This study evaluates current policies and practices surrounding return of results (RoR) to LRRP, as well as the attitudes of investigators toward providing ancillary care to LRRP. METHODS A semi-structured interview study was conducted with representatives of 35 genomic research programs nationwide. Eligible programs were returning, or planning to return, medically actionable genomic results to participants. RESULTS Three content categories emerged from this study, including: (1) RoR structures, (2) barriers to RoR to LRRP, and (3) solutions to meet community and LRRP needs. Three major structures of RoR emerged: (1) RoR Embedded in Clinical Care, (2) RoR Independent of Clinical Care, and (3) Reliance on Clinical Partnerships to Facilitate RoR. Inadequacy of program resources to address the needs of LRRP was commonly considered a significant obstacle. The attitudes and views of informants regarding responsibility to provide ancillary care for LRRP receiving genomic results were highly varied. Some informants believed that genomic sequencing and testing was not a priority for LRRP because of other pressing issues in their lives, such as housing and food insecurity. Research programs differ regarding whether clinical and social support for LRRP is considered within the purview of the research team. Some programs instituted accommodations for LRRP, including social work referral and insurance enrollment assistance. CONCLUSION Support to access downstream treatment is not readily available for LRRP in many genomic research programs. Development of best practices and policies for managing RoR to LRRP is needed.
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Affiliation(s)
- Megan B Raymond
- Social and Behavioral Research Branch, National Human Genome Research, National Institutes of Health, Bethesda, Maryland, USA.,University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Kayla E Cooper
- Social and Behavioral Research Branch, National Human Genome Research, National Institutes of Health, Bethesda, Maryland, USA
| | - Lisa S Parker
- University of Pittsburgh, Center for Bioethics & Health Law, Human Genetics, Graduate School of Public Health, Pittsburgh, Pennsylvania, USA
| | - Vence L Bonham
- Social and Behavioral Research Branch, National Human Genome Research, National Institutes of Health, Bethesda, Maryland, USA
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13
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Milo Rasouly H, Cuneo N, Marasa M, DeMaria N, Chatterjee D, Thompson JJ, Fasel DA, Wynn J, Chung WK, Appelbaum P, Weng C, Bakken S, Gharavi AG. GeneLiFT: A novel test to facilitate rapid screening of genetic literacy in a diverse population undergoing genetic testing. J Genet Couns 2021; 30:742-754. [PMID: 33368851 PMCID: PMC8246865 DOI: 10.1002/jgc4.1364] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Revised: 10/20/2020] [Accepted: 11/01/2020] [Indexed: 11/05/2022]
Abstract
With the broader introduction of genomic medicine in research and clinical care, an increasing number of persons are offered genetic testing. Many factors, including genetic literacy, may impact the utilization of genetic results by patients and their families. We developed a rapid, self-administered measure of genetic literacy, called Genetic Literacy Fast Test (GeneLiFT). We next evaluated the association of GeneLiFT scores with the comprehension of limitations of genomic medicine in participants undergoing genetic testing in the NIH-sponsored eMERGE III study at Columbia University Irving Medical Center, New York. All participants underwent genetic screening for variants in 74 actionable genes associated with adult-onset disorders. A diverse cohort of 724 participants completed the survey (60% women, 45% less than 40 years old, and 53% self-reported White non-Hispanic ancestry). The GeneLiFT was validated using known group differences based on education, health literacy, and numeracy, and with questions assessing genetic knowledge. GeneLiFT identified multiple standard genetics terms, that is, jargon, not recognized by more than 50% of participants (including actionability and pathogenicity). Low genetic literacy, identified in 210 participants (29%), was significantly associated with poor understanding of the limitations of genetic testing (p-values < 10-9 ). This association was independent of education, health literacy, and numeracy levels, highlighting the importance of directly measuring genetic literacy. Low genetic literacy was also associated with low satisfaction with the informed consent process. GeneLiFT is a practical tool for rapid assessment of genetic literacy in large studies or clinical care. GeneLiFT will allow future research to efficiently assess the role of genetic literacy on the clinical impact of genetic testing.
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Affiliation(s)
- Hila Milo Rasouly
- Division of Nephrology, Department of MedicineColumbia University Irving Medical CenterNew YorkNYUSA
- Center for Precision Medicine and Genomics, Department of MedicineColumbia University Irving Medical CenterNew YorkNYUSA
| | - Nicole Cuneo
- Division of Nephrology, Department of MedicineColumbia University Irving Medical CenterNew YorkNYUSA
| | - Maddalena Marasa
- Division of Nephrology, Department of MedicineColumbia University Irving Medical CenterNew YorkNYUSA
- Center for Precision Medicine and Genomics, Department of MedicineColumbia University Irving Medical CenterNew YorkNYUSA
| | - Natalia DeMaria
- Division of Nephrology, Department of MedicineColumbia University Irving Medical CenterNew YorkNYUSA
| | - Debanjana Chatterjee
- Division of Nephrology, Department of MedicineColumbia University Irving Medical CenterNew YorkNYUSA
- Center for Precision Medicine and Genomics, Department of MedicineColumbia University Irving Medical CenterNew YorkNYUSA
| | - Jacqueline J. Thompson
- Division of Nephrology, Department of MedicineColumbia University Irving Medical CenterNew YorkNYUSA
| | - David A. Fasel
- Center for Precision Medicine and Genomics, Department of MedicineColumbia University Irving Medical CenterNew YorkNYUSA
| | - Julia Wynn
- Department of MedicineColumbia University Irving Medical CenterNew YorkNYUSA
| | - Wendy K. Chung
- Department of MedicineColumbia University Irving Medical CenterNew YorkNYUSA
- Department of PediatricsColumbia University Irving Medical CenterNew YorkNYUSA
| | - Paul Appelbaum
- Department of PsychiatryColumbia University Irving Medical CenterNew YorkNYUSA
| | - Chunhua Weng
- Department of Biomedical informaticsColumbia University Irving Medical CenterNew YorkNYUSA
| | - Suzanne Bakken
- School of Nursing and Department of Biomedical InformaticsColumbia University Irving Medical CenterNew YorkNYUSA
| | - Ali G. Gharavi
- Division of Nephrology, Department of MedicineColumbia University Irving Medical CenterNew YorkNYUSA
- Center for Precision Medicine and Genomics, Department of MedicineColumbia University Irving Medical CenterNew YorkNYUSA
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14
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Beck AT, Sutton EJ, Chow CPY, Curtis SH, Kullo IJ, Sharp RR. "Who Doesn't Like Receiving Good News?" Perspectives of Individuals Who Received Genomic Screening Results by Mail. J Pers Med 2021; 11:jpm11050322. [PMID: 33919001 PMCID: PMC8142970 DOI: 10.3390/jpm11050322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 04/08/2021] [Accepted: 04/16/2021] [Indexed: 12/02/2022] Open
Abstract
As genomic sequencing expands to screen larger numbers of individuals, offering genetic counseling to everyone may not be possible. One approach to managing this limitation is for a genetic counselor to communicate clinically actionable results in person or by telephone, but report other results by mail. We employed this approach in a large genomic implementation study. In this paper, we describe participants' experiences receiving genomic screening results by mail. We conducted 50 semi-structured telephone interviews with individuals who received neutral genomic screening results by mail. Most participants were satisfied receiving neutral results by mail. Participants generally had a good understanding of results; however, a few participants had misunderstandings about their genomic screening results, including mistaken beliefs about their disease risk and the comprehensiveness of the test. No one reported plans to alter health behaviors, defer medical evaluations, or take other actions that might be considered medically problematic. Reporting neutral results by mail is unlikely to cause recipients distress or generate misunderstandings that may result in reduced vigilance in following recommended preventive health strategies. Nonetheless, some individuals may benefit from additional genetic counseling support to help situate their results in the context of personal concerns and illness experiences.
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Affiliation(s)
- Annika T. Beck
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN 55901, USA; (A.T.B.); (E.J.S.); (C.P.Y.C.); (S.H.C.)
| | - Erica J. Sutton
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN 55901, USA; (A.T.B.); (E.J.S.); (C.P.Y.C.); (S.H.C.)
| | - Carolyn P. Y. Chow
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN 55901, USA; (A.T.B.); (E.J.S.); (C.P.Y.C.); (S.H.C.)
| | - Susan H. Curtis
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN 55901, USA; (A.T.B.); (E.J.S.); (C.P.Y.C.); (S.H.C.)
| | - Iftikhar J. Kullo
- Division of Cardiovascular Diseases, Mayo Clinic, Rochester, MN 55901, USA;
| | - Richard R. Sharp
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN 55901, USA; (A.T.B.); (E.J.S.); (C.P.Y.C.); (S.H.C.)
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55901, USA
- Correspondence:
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15
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Mittendorf KF, Ukaegbu C, Gilmore MJ, Lindberg NM, Kauffman TL, Eubanks DJ, Shuster E, Allen J, McMullen C, Feigelson HS, Anderson KP, Leo MC, Hunter JE, Sasaki SO, Zepp JM, Syngal S, Wilfond BS, Goddard KAB. Adaptation and early implementation of the PREdiction model for gene mutations (PREMM 5™) for lynch syndrome risk assessment in a diverse population. Fam Cancer 2021; 21:167-180. [PMID: 33754278 PMCID: PMC8458476 DOI: 10.1007/s10689-021-00243-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 03/04/2021] [Indexed: 01/20/2023]
Abstract
Lynch syndrome (LS) is the most common inherited cause of colorectal and endometrial cancers. Identifying individuals at risk for LS without personal cancer history requires detailed collection and assessment of family health history. However, barriers exist to family health history collection, especially in historically underserved populations. To improve LS risk assessment in historically underserved populations, we adapted the provider-facing PREdiction Model for gene Mutations (PREMM5™ model), a validated LS risk assessment model, into a patient-facing electronic application through an iterative development process involving expert and patient stakeholders. We report on preliminary findings based on the first 500 individuals exposed to the adapted application in a primary care population enriched for low-literacy and low-resource patients. Major adaptations to the PREMM5™ provider module included reduction in reading level, addition of interactive literacy aids, incorporation of family history assessment for both maternal and paternal sides of the family, and inclusion of questions about individual relatives or small groups of relatives to reduce cognitive burden. In the first 500 individuals, 90% completed the PREMM5™ independently; of those, 94% did so in 5 min or less (ranged from 0.2 to 48.8 min). The patient-facing application was able to accurately classify 84% of patients as having clinically significant or not clinically significant LS risk. Our preliminary results suggest that in this diverse study population, most participants were able to rapidly, accurately, and independently complete an interactive application collecting family health history assessment that accurately assessed for Lynch syndrome risk.
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Affiliation(s)
- Kathleen F Mittendorf
- Department of Translational and Applied Genomics, Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA.
| | - Chinedu Ukaegbu
- Dana Farber Cancer Institute, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Marian J Gilmore
- Department of Translational and Applied Genomics, Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA
| | - Nangel M Lindberg
- Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA
| | - Tia L Kauffman
- Department of Translational and Applied Genomics, Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA
| | - Donna J Eubanks
- Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA
| | - Elizabeth Shuster
- Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA
| | - Jake Allen
- Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA
| | - Carmit McMullen
- Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA
| | | | | | - Michael C Leo
- Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA
| | - Jessica Ezzell Hunter
- Department of Translational and Applied Genomics, Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA
| | | | - Jamilyn M Zepp
- Department of Translational and Applied Genomics, Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA
| | - Sapna Syngal
- Dana Farber Cancer Institute, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA.,Brigham and Women's Hospital, Boston, MA, USA
| | - Benjamin S Wilfond
- Treuman Katz Center for Pediatric Bioethics, Seattle Children's Research Institute and Hospital, Seattle, WA, USA.,Department of Pediatrics, University of Washington School of Medicine, Seattle, WA, USA
| | - Katrina A B Goddard
- Department of Translational and Applied Genomics, Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA
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16
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Rosenthal EA, Crosslin DR, Gordon AS, Carrell DS, Stanaway IB, Larson EB, Grafton J, Wei WQ, Denny JC, Feng QP, Shah AS, Sturm AC, Ritchie MD, Pacheco JA, Hakonarson H, Rasmussen-Torvik LJ, Connolly JJ, Fan X, Safarova M, Kullo IJ, Jarvik GP. Association between triglycerides, known risk SNVs and conserved rare variation in SLC25A40 in a multi-ancestry cohort. BMC Med Genomics 2021; 14:11. [PMID: 33407432 PMCID: PMC7789246 DOI: 10.1186/s12920-020-00854-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Accepted: 12/09/2020] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Elevated triglycerides (TG) are associated with, and may be causal for, cardiovascular disease (CVD), and co-morbidities such as type II diabetes and metabolic syndrome. Pathogenic variants in APOA5 and APOC3 as well as risk SNVs in other genes [APOE (rs429358, rs7412), APOA1/C3/A4/A5 gene cluster (rs964184), INSR (rs7248104), CETP (rs7205804), GCKR (rs1260326)] have been shown to affect TG levels. Knowledge of genetic causes for elevated TG may lead to early intervention and targeted treatment for CVD. We previously identified linkage and association of a rare, highly conserved missense variant in SLC25A40, rs762174003, with hypertriglyceridemia (HTG) in a single large family, and replicated this association with rare, highly conserved missense variants in a European American and African American sample. METHODS Here, we analyzed a longitudinal mixed-ancestry cohort (European, African and Asian ancestry, N = 8966) from the Electronic Medical Record and Genomics (eMERGE) Network. We tested associations between median TG and the genes of interest, using linear regression, adjusting for sex, median age, median BMI, and the first two principal components of ancestry. RESULTS We replicated the association between TG and APOC3, APOA5, and risk variation at APOE, APOA1/C3/A4/A5 gene cluster, and GCKR. We failed to replicate the association between rare, highly conserved variation at SLC25A40 and TG, as well as for risk variation at INSR and CETP. CONCLUSIONS Analysis using data from electronic health records presents challenges that need to be overcome. Although large amounts of genotype data is becoming increasingly accessible, usable phenotype data can be challenging to obtain. We were able to replicate known, strong associations, but were unable to replicate moderate associations due to the limited sample size and missing drug information.
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Affiliation(s)
- Elisabeth A Rosenthal
- Division of Medical Genetics, School of Medicine, University of Washington Medical Center, 1705 NE Pacific St, Box 357720, Seattle, WA, 98195, USA.
| | - David R Crosslin
- Department of Biomedical Informatics Medical Education, School of Medicine, University of Washington, Seattle, WA, USA
| | - Adam S Gordon
- Center for Genetic Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - David S Carrell
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Ian B Stanaway
- Department of Biomedical Informatics Medical Education, School of Medicine, University of Washington, Seattle, WA, USA
| | - Eric B Larson
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Jane Grafton
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Wei-Qi Wei
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Joshua C Denny
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Qi-Ping Feng
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Amy S Shah
- Division of Endocrinology, Department of Pediatrics, Cincinnati Children's Hospital and the University of Cincinnati, Cincinnati, OH, USA
| | - Amy C Sturm
- Genomic Medicine Institute, Geisinger, Danville, PA, 17822, USA
| | - Marylyn D Ritchie
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Jennifer A Pacheco
- Center for Genetic Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Hakon Hakonarson
- Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Laura J Rasmussen-Torvik
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - John J Connolly
- Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Xiao Fan
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Maya Safarova
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Iftikhar J Kullo
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
- Gonda Vascular Center, Mayo Clinic, Rochester, MN, USA
| | - Gail P Jarvik
- Division of Medical Genetics, School of Medicine, University of Washington Medical Center, 1705 NE Pacific St, Box 357720, Seattle, WA, 98195, USA
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
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17
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18
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Finn KS, Lynch J, Aufox S, Bland S, Chung W, Halverson C, Hebbring S, Hoell C, Holm I, Jarvik G, Kullo I, Leppig K, Myers M, Prows C, Rasouly HM, Singh R, Weisner G, Williams J, Wynn J, Smith M, Sharp R. Returning negative results from
large‐scale
genomic screening: Experiences from the
eMERGE III
network. Am J Med Genet A 2020; 185:508-516. [DOI: 10.1002/ajmg.a.62002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Affiliation(s)
- Kelsey Stuttgen Finn
- Biomedical Ethics Research Program Mayo Clinic Rochester Minnesota USA
- Department of Health Sciences Research Mayo Clinic Rochester Minnesota USA
| | - John Lynch
- Department of Communication University of Cincinnati Cincinnati Ohio USA
| | - Sharon Aufox
- Center for Genomic Medicine Feinberg School of Medicine, Northwestern University Chicago Illinois USA
| | - Sarah Bland
- Department of Biomedical Informatics Vanderbilt University Medical Center Nashville Tennessee USA
| | - Wendy Chung
- Department of Pediatrics Columbia University New York New York USA
| | - Colin Halverson
- School of Medicine Indiana University‐Purdue University Indianapolis Indiana USA
| | - Scott Hebbring
- Center for Human Genetics Marshfield Clinic Research Institute Marshfield Wisconsin USA
| | - Christin Hoell
- Center for Genomic Medicine Feinberg School of Medicine, Northwestern University Chicago Illinois USA
| | - Ingrid Holm
- Department of Pediatrics Harvard Medical School Boston Massachusetts USA
- Division of Genetics and Genomics Boston Children's Hospital Boston Massachusetts USA
| | - Gail Jarvik
- Division of Medical Genetics School of Medicine, University of Washington Seattle Washington USA
| | - Iftikhar Kullo
- Department of Cardiovascular Medicine Mayo Clinic Rochester Minnesota USA
| | - Kathleen Leppig
- Genetic Services Kaiser Permanente of Washington Seattle Washington USA
- Biomedical and Health Informatics University of Washington Seattle Washington USA
| | - Melanie Myers
- College of Medicine University of Cincinnati Cincinnati Ohio USA
- Department of Pediatrics Cincinnati Children's Hospital Medical Center, University of Cincinnati Cincinnati Ohio USA
| | - Cynthia Prows
- Department of Pediatrics Cincinnati Children's Hospital Medical Center, University of Cincinnati Cincinnati Ohio USA
| | - Hila Milo Rasouly
- Department of Medicine, Division of Nephrology Columbia University Irving Medical Center New York New York USA
| | - Rajbir Singh
- Department of Microbiology and Immunology Meharry Medical College Nashville Tennessee USA
- Department of Obstetrics and Gynecology Meharry Medical College Nashville Tennessee USA
| | - Georgia Weisner
- Department of Medicine Vanderbilt University Medical Center Nashville Tennessee USA
- Vanderbilt Clinical and Translational Hereditary Cancer Program Vanderbilt‐Ingram Cancer Center, Vanderbilt University Medical Center Nashville Tennessee USA
| | - Janet Williams
- Geisinger Genomic Medicine Institute Danville Pennsylvania USA
| | - Julia Wynn
- Department of Pediatrics Columbia University New York New York USA
| | - Maureen Smith
- Department of Medicine Feinberg School of Medicine, Northwestern University Chicago Illinois USA
| | - Richard Sharp
- Biomedical Ethics Research Program Mayo Clinic Rochester Minnesota USA
- Department of Health Sciences Research Mayo Clinic Rochester Minnesota USA
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19
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Streeten EA, See VY, Jeng LBJ, Maloney KA, Lynch M, Glazer AM, Yang T, Roden D, Pollin TI, Daue M, Ryan KA, Van Hout C, Gosalia N, Gonzaga-Jauregui C, Economides A, Perry JA, O'Connell J, Beitelshees A, Palmer K, Mitchell BD, Shuldiner AR. KCNQ1 and Long QT Syndrome in 1/45 Amish: The Road From Identification to Implementation of Culturally Appropriate Precision Medicine. CIRCULATION-GENOMIC AND PRECISION MEDICINE 2020; 13:e003133. [PMID: 33141630 PMCID: PMC7748050 DOI: 10.1161/circgen.120.003133] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Supplemental Digital Content is available in the text. In population-based research exome sequencing, the path from variant discovery to return of results is not well established. Variants discovered by research exome sequencing have the potential to improve population health.
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Affiliation(s)
- Elizabeth A Streeten
- Program for Personalized and Genomic Medicine (E.A.S., L.B.J.J., K.A.M., M.L., T.I.P., M.D., K.A.R., J.A.P., J.O., A.B., K.P., B.D.M.), University of Maryland School of Medicine.,Department of Medicine (E.A.S., V.Y.S., L.B.J.J., K.A.M., M.L., T.I.P., M.D., K.A.R., J.A.P., J.O., A.B., B.D.M.), University of Maryland School of Medicine
| | - Vincent Y See
- Department of Medicine (E.A.S., V.Y.S., L.B.J.J., K.A.M., M.L., T.I.P., M.D., K.A.R., J.A.P., J.O., A.B., B.D.M.), University of Maryland School of Medicine.,Division of Cardiolovascular Medicine (V.Y.S., T.I.P., K.P.), University of Maryland School of Medicine
| | - Linda B J Jeng
- Program for Personalized and Genomic Medicine (E.A.S., L.B.J.J., K.A.M., M.L., T.I.P., M.D., K.A.R., J.A.P., J.O., A.B., K.P., B.D.M.), University of Maryland School of Medicine.,Department of Medicine (E.A.S., V.Y.S., L.B.J.J., K.A.M., M.L., T.I.P., M.D., K.A.R., J.A.P., J.O., A.B., B.D.M.), University of Maryland School of Medicine
| | - Kristin A Maloney
- Program for Personalized and Genomic Medicine (E.A.S., L.B.J.J., K.A.M., M.L., T.I.P., M.D., K.A.R., J.A.P., J.O., A.B., K.P., B.D.M.), University of Maryland School of Medicine.,Department of Medicine (E.A.S., V.Y.S., L.B.J.J., K.A.M., M.L., T.I.P., M.D., K.A.R., J.A.P., J.O., A.B., B.D.M.), University of Maryland School of Medicine
| | - Megan Lynch
- Program for Personalized and Genomic Medicine (E.A.S., L.B.J.J., K.A.M., M.L., T.I.P., M.D., K.A.R., J.A.P., J.O., A.B., K.P., B.D.M.), University of Maryland School of Medicine.,Department of Medicine (E.A.S., V.Y.S., L.B.J.J., K.A.M., M.L., T.I.P., M.D., K.A.R., J.A.P., J.O., A.B., B.D.M.), University of Maryland School of Medicine
| | - Andrew M Glazer
- Division of Clinical Pharmacology, Department of Medicine (A.M.G., T.Y., D.R.), Vanderbilt University Medical Center, Nashville, TN
| | - Tao Yang
- Division of Clinical Pharmacology, Department of Medicine (A.M.G., T.Y., D.R.), Vanderbilt University Medical Center, Nashville, TN.,Department of Pharmacology (T.Y., D.R.), Vanderbilt University Medical Center, Nashville, TN
| | - Dan Roden
- Division of Clinical Pharmacology, Department of Medicine (A.M.G., T.Y., D.R.), Vanderbilt University Medical Center, Nashville, TN.,Department of Pharmacology (T.Y., D.R.), Vanderbilt University Medical Center, Nashville, TN.,Biomedical Informatics (D.R.), Vanderbilt University Medical Center, Nashville, TN
| | - Toni I Pollin
- Program for Personalized and Genomic Medicine (E.A.S., L.B.J.J., K.A.M., M.L., T.I.P., M.D., K.A.R., J.A.P., J.O., A.B., K.P., B.D.M.), University of Maryland School of Medicine.,Department of Medicine (E.A.S., V.Y.S., L.B.J.J., K.A.M., M.L., T.I.P., M.D., K.A.R., J.A.P., J.O., A.B., B.D.M.), University of Maryland School of Medicine.,Division of Cardiolovascular Medicine (V.Y.S., T.I.P., K.P.), University of Maryland School of Medicine
| | - Melanie Daue
- Program for Personalized and Genomic Medicine (E.A.S., L.B.J.J., K.A.M., M.L., T.I.P., M.D., K.A.R., J.A.P., J.O., A.B., K.P., B.D.M.), University of Maryland School of Medicine.,Department of Medicine (E.A.S., V.Y.S., L.B.J.J., K.A.M., M.L., T.I.P., M.D., K.A.R., J.A.P., J.O., A.B., B.D.M.), University of Maryland School of Medicine
| | - Kathleen A Ryan
- Program for Personalized and Genomic Medicine (E.A.S., L.B.J.J., K.A.M., M.L., T.I.P., M.D., K.A.R., J.A.P., J.O., A.B., K.P., B.D.M.), University of Maryland School of Medicine.,Department of Medicine (E.A.S., V.Y.S., L.B.J.J., K.A.M., M.L., T.I.P., M.D., K.A.R., J.A.P., J.O., A.B., B.D.M.), University of Maryland School of Medicine
| | - Cristopher Van Hout
- Regeneron Genetics Center LLC, Tarrytown, NY (C.V.H., N.G., C.G.-J., A.E., A.R.S.)
| | - Nehal Gosalia
- Regeneron Genetics Center LLC, Tarrytown, NY (C.V.H., N.G., C.G.-J., A.E., A.R.S.)
| | | | - Aris Economides
- Regeneron Genetics Center LLC, Tarrytown, NY (C.V.H., N.G., C.G.-J., A.E., A.R.S.)
| | - James A Perry
- Program for Personalized and Genomic Medicine (E.A.S., L.B.J.J., K.A.M., M.L., T.I.P., M.D., K.A.R., J.A.P., J.O., A.B., K.P., B.D.M.), University of Maryland School of Medicine.,Department of Medicine (E.A.S., V.Y.S., L.B.J.J., K.A.M., M.L., T.I.P., M.D., K.A.R., J.A.P., J.O., A.B., B.D.M.), University of Maryland School of Medicine
| | - Jeffrey O'Connell
- Program for Personalized and Genomic Medicine (E.A.S., L.B.J.J., K.A.M., M.L., T.I.P., M.D., K.A.R., J.A.P., J.O., A.B., K.P., B.D.M.), University of Maryland School of Medicine.,Department of Medicine (E.A.S., V.Y.S., L.B.J.J., K.A.M., M.L., T.I.P., M.D., K.A.R., J.A.P., J.O., A.B., B.D.M.), University of Maryland School of Medicine
| | - Amber Beitelshees
- Program for Personalized and Genomic Medicine (E.A.S., L.B.J.J., K.A.M., M.L., T.I.P., M.D., K.A.R., J.A.P., J.O., A.B., K.P., B.D.M.), University of Maryland School of Medicine.,Department of Medicine (E.A.S., V.Y.S., L.B.J.J., K.A.M., M.L., T.I.P., M.D., K.A.R., J.A.P., J.O., A.B., B.D.M.), University of Maryland School of Medicine
| | - Kathleen Palmer
- Program for Personalized and Genomic Medicine (E.A.S., L.B.J.J., K.A.M., M.L., T.I.P., M.D., K.A.R., J.A.P., J.O., A.B., K.P., B.D.M.), University of Maryland School of Medicine.,Division of Cardiolovascular Medicine (V.Y.S., T.I.P., K.P.), University of Maryland School of Medicine
| | - Braxton D Mitchell
- Program for Personalized and Genomic Medicine (E.A.S., L.B.J.J., K.A.M., M.L., T.I.P., M.D., K.A.R., J.A.P., J.O., A.B., K.P., B.D.M.), University of Maryland School of Medicine.,Department of Medicine (E.A.S., V.Y.S., L.B.J.J., K.A.M., M.L., T.I.P., M.D., K.A.R., J.A.P., J.O., A.B., B.D.M.), University of Maryland School of Medicine.,Baltimore Veterans Administration Medical Center Geriatrics Research and Education Clinical Center, Baltimore, MD (B.D.M.)
| | - Alan R Shuldiner
- Regeneron Genetics Center LLC, Tarrytown, NY (C.V.H., N.G., C.G.-J., A.E., A.R.S.)
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20
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Inamura K. Ethical Considerations about Genomic Medicine Implementation: Lessons Learned from the eMERGE III Study. J Pers Med 2020; 10:jpm10040195. [PMID: 33114528 PMCID: PMC7712392 DOI: 10.3390/jpm10040195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Accepted: 10/23/2020] [Indexed: 11/17/2022] Open
Abstract
The development of high-throughput techniques has permitted the accumulation of enormous amounts of genomic information. As increasing numbers of studies aim to utilize individual genomic information for diagnostic, preventive, or therapeutic purposes, Institutional Review Boards (IRBs) have a greater opportunity to review such types of study protocols. An article published in the Journal of Personalized Medicine titled, “Ethical Considerations Related to Return of Results from Genomic Medicine Projects: The eMERGE Network (Phase III) Experience” identified the common concerns of IRBs in the process of reviewing such studies, and some concerns included the readability of informed consent materials, potential risks to participants, information sharing with family members, options for withdrawal or receiving limited results, and provisions to clear participant questions. Since there is an increase in the number of genomic medicine implementation studies worldwide, the insights provided by this study would assist future researchers in protocol preparation as well as aid project review by IRB members.
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Affiliation(s)
- Kentaro Inamura
- Division of Pathology, The Cancer Institute, Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-ku, Tokyo 135-8550, Japan
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21
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Frequency of genomic secondary findings among 21,915 eMERGE network participants. Genet Med 2020; 22:1470-1477. [PMID: 32546831 PMCID: PMC7713503 DOI: 10.1038/s41436-020-0810-9] [Citation(s) in RCA: 58] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2019] [Revised: 02/24/2020] [Accepted: 04/06/2020] [Indexed: 12/31/2022] Open
Abstract
PURPOSE Discovering an incidental finding (IF) or secondary finding (SF) is a potential result of genomic testing, but few data exist describing types and frequencies of SFs likely to appear in broader clinical populations. METHODS The Electronic Medical Records and Genomics Network Phase III (eMERGE III) developed a CLIA-compliant sequencing panel of 109 genes and 1551 variants of clinical relevance or research interest and deployed this panel at ten clinical sites. We evaluated medically actionable SFs across 67 genes and 14 single-nucleotide variants (SNVs) in a diverse cohort of 21,915 participants drawn from a variety of settings (e.g., primary care, biobanks, specialty clinics). RESULTS Correcting for testing indication, we found a 3.02% overall frequency of SFs; 2.54% from 59 genes the American College of Medical Genetics and Genomics recommends for SF return, and 0.48% in other genes, primarily HFE and PALB2. SFs associated with cancer susceptibility were most frequent (1.38%), followed by cardiovascular diseases (0.87%), and lipid disorders (0.50%). After removing HFE, the frequency of SFs and proportion of pathogenic versus likely pathogenic SFs did not differ in those self-identifying as White versus others. CONCLUSION Here we present frequencies and types of medically actionable secondary findings to support informed decision making by patients, participants, and practitioners engaged in genomic medicine.
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22
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Challenges in returning results in a genomic medicine implementation study: the Return of Actionable Variants Empirical (RAVE) study. NPJ Genom Med 2020; 5:19. [PMID: 32377377 PMCID: PMC7198538 DOI: 10.1038/s41525-020-0127-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Accepted: 03/27/2020] [Indexed: 12/25/2022] Open
Abstract
To inform the process of returning results in genome sequencing studies, we conducted a quantitative and qualitative assessment of challenges encountered during the Return of Actionable Variants Empiric (RAVE) study conducted at Mayo Clinic. Participants (n = 2535, mean age 63 ± 7, 57% female) were sequenced for 68 clinically actionable genes and 14 single nucleotide variants. Of 122 actionable results detected, 118 were returnable; results were returned by a genetic counselor—86 in-person and 12 by phone. Challenges in returning actionable results were encountered in a significant proportion (38%) of the cohort and were related to sequencing and participant contact. Sequencing related challenges (n = 14), affecting 13 participants, included reports revised based on clinical presentation (n = 3); reports requiring corrections (n = 2); mosaicism requiring alternative DNA samples for confirmation (n = 3); and variant re-interpretation due to updated informatics pipelines (n = 6). Participant contact related challenges (n = 44), affecting 38 participants, included nonresponders (n = 20), decedents (n = 1), and previously known results (n = 23). These results should be helpful to investigators preparing for return of results in large-scale genomic sequencing projects.
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23
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Returning genomic results in a Federally Qualified Health Center: the intersection of precision medicine and social determinants of health. Genet Med 2020; 22:1552-1559. [PMID: 32371921 PMCID: PMC7483616 DOI: 10.1038/s41436-020-0806-5] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Revised: 03/05/2020] [Accepted: 04/01/2020] [Indexed: 12/16/2022] Open
Abstract
Purpose: This report describes the return of sequencing results to low-income Latino participants recruited through a Federally Qualified Health Center (FQHC). We describe challenges in returning research results secondary to social determinants of health and present lessons learned to guide future genomic medicine implementation studies in low resource settings. Methods: 500 Latino adults (76% women) consented to research sequencing for a predetermined panel of actionable genes. Providers and staff from the FQHC were engaged to align processes with the practice and a Community Advisory Board grounded the project in the local community. Results: A pathogenic/likely pathogenic variant was present in 10 participants (2%). Challenges in return of results included the time lag (582±53 days) between enrollment and returning actionable results, difficulty reaching participants, missed appointments, low health literacy, lack of health insurance, and reconciling results with limited information on family history. Return of one actionable result was deferred due to acute emotional distress secondary to recent traumatic life events. Conclusion: The social determinants of health influence the implementation of genomic medicine in low-income populations in low-resource settings. Considering non-biological factors that contribute to disparities will be necessary to better appreciate how genomic medicine may fit within the context of health equity.
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24
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Returning Results in the Genomic Era: Initial Experiences of the eMERGE Network. J Pers Med 2020; 10:jpm10020030. [PMID: 32349224 PMCID: PMC7354592 DOI: 10.3390/jpm10020030] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Revised: 04/20/2020] [Accepted: 04/21/2020] [Indexed: 12/31/2022] Open
Abstract
A goal of the 3rd phase of the Electronic Medical Records and Genomics (eMERGE3) Network was to examine the return of results (RoR) of actionable variants in more than 100 genes to consenting participants and their healthcare providers. Each of the 10 eMERGE sites developed plans for three essential elements of the RoR process: Disclosure to the participant, notification of the health care provider, and integration of results into the electronic health record (EHR). Procedures and protocols around these three elements were adapted as appropriate to individual site requirements and limitations. Detailed information about the RoR procedures at each site was obtained through structured telephone interviews and follow-up surveys with the clinical investigator leading or participating in the RoR process at each eMERGE3 institution. Because RoR processes at each of the 10 sites allowed for taking into account differences in population, disease focus and institutional requirements, significant heterogeneity of process was identified, including variability in the order in which patients and clinicians were notified and results were placed in the EHR. This heterogeneity in the process flow for eMERGE3 RoR reflects the “real world” of genomic medicine in which RoR procedures must be shaped by the needs of the patients and institutional environments.
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25
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Raghuram Pillai P, Prows CA, Martin LJ, Myers MF. Decisional conflict among adolescents and parents making decisions about genomic sequencing results. Clin Genet 2019; 97:312-320. [PMID: 31654527 DOI: 10.1111/cge.13658] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Revised: 09/23/2019] [Accepted: 10/18/2019] [Indexed: 01/08/2023]
Abstract
Genomic testing of adolescents is increasing yet engaging them in decision-making is not routine. We assessed decisional conflict in adolescents and a parent making independent decisions about actual genomic testing results and factors that influenced their choices. We enrolled 163 dyads consisting of an adolescent (13-17 years) not selected based on a specific clinical indication and one parent. After independently choosing categories of conditions to learn for the adolescent, participants completed the validated Decisional Conflict Scale and a survey assessing factors influencing their respective choices. Adolescents had higher decisional conflict scores than parents (15.6 [IQR:4.7-25.6] vs 9.4 [IQR:1.6-21.9]; P = .0007). Adolescents with clinically significant decisional conflict were less likely to choose to learn all results than adolescents with lower decisional conflict (19.6% vs 80.4%; P < .0001) and less likely to report their choices were influenced by actionability of results (33.3% vs 18.9%; P = .044) and feeling confident they can deal with the results (71.2% vs 91.9%; P = .0005). Our findings suggest higher decisional conflict in adolescents may influence the type and amount of genomic results they wish to learn. Additional research assessing decisional conflict and factors influencing testing choices among adolescents in clinical settings are required.
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Affiliation(s)
- Preethi Raghuram Pillai
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center and University of Cincinnati, Cincinnati, Ohio
| | - Cynthia A Prows
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center and University of Cincinnati, Cincinnati, Ohio.,Division of Patient Services, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Lisa J Martin
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center and University of Cincinnati, Cincinnati, Ohio
| | - Melanie F Myers
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center and University of Cincinnati, Cincinnati, Ohio
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26
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Kimberly RP. Translational Research-For the Individual and the Community. J Health Care Poor Underserved 2019; 30:79-85. [PMID: 31735721 DOI: 10.1353/hpu.2019.0118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
The potential for translational research to improve human health is unprecedented, as the integration of genetic health risks with other data influencing health provides substantial opportunities for improvement. However, how integrating these data sources in a fair, unbiased and appropriate way without reinforcing pre-existing assumptions requires thoughtful implementation. Furthermore, integration of new technologies requires assessment of needs and benefits for the individual balanced with community needs and goals. Thus, examination of values, goals and implicit assumptions through transparent, authentic engagement of individuals and communities is essential.
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27
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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: 81] [Impact Index Per Article: 16.2] [Reference Citation Analysis] [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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Pervola J, Myers MF, McGowan ML, Prows CA. Giving adolescents a voice: the types of genetic information adolescents choose to learn and why. Genet Med 2019; 21:965-971. [PMID: 30369597 PMCID: PMC10445294 DOI: 10.1038/s41436-018-0320-1] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2018] [Accepted: 09/14/2018] [Indexed: 12/26/2022] Open
Abstract
PURPOSE The American College of Medical Genetics and Genomics supports parents' opting in or out of secondary analysis of 59 genes when their child has clinical exome/genome sequencing. We explored the reasons adolescents choose to learn certain types of results and the reasons they want to involve or not involve parents in decision-making. METHODS Adolescents recruited without clinical indication were offered independent, followed by joint choices with a parent to learn genomic results. After making independent choices, adolescent/parent dyads were interviewed to explore the reasons for their choices. Interviews were audio-recorded and transcribed. The constant comparative method was used to analyze 64 purposefully selected transcripts that included 31 from adolescents who excluded some or all potential results. RESULTS Three major themes informed adolescents' choices: (1) actionability of information, (2) knowledge seeking, and (3) psychological impact. Of adolescents who independently excluded some conditions (n=31), 58% changed their initial choices during the joint interview due to parental influence or improved understanding. Nearly all adolescents (98%) wanted to be involved in the decision-making process, and 53% wanted to make choices independently. CONCLUSIONS Our findings contribute empirical evidence to support the refinement of professional guidelines for adolescents' engagement and preferences in genetic testing decisions.
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Affiliation(s)
- Josie Pervola
- College of Medicine, University of Cincinnati, Cincinnati, OH, USA
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Melanie F Myers
- College of Medicine, University of Cincinnati, Cincinnati, OH, USA
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Michelle L McGowan
- Ethics Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- Department of Pediatrics & Women's, Gender & Sexuality Studies, University of Cincinnati, Cincinnati, OH, USA
| | - Cynthia A Prows
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
- Patient Services, Cincinnati Children's Hospital Medical Center Cincinnati, Cincinnati, OH, USA.
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Henrikson NB, Blasi PR, Fullerton SM, Grafton J, Leppig KA, Jarvik GP, Larson EB. "It would be so much easier": health system-led genetic risk notification-feasibility and acceptability of cascade screening in an integrated system. J Community Genet 2019; 10:461-470. [PMID: 30843145 PMCID: PMC6754469 DOI: 10.1007/s12687-019-00412-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2018] [Revised: 01/04/2019] [Accepted: 02/07/2019] [Indexed: 11/02/2022] Open
Abstract
Assess the feasibility and acceptability of health system-led genetic risk notification in a US integrated health system. We conducted semi-structured phone interviews with individuals age 40-64 years who had undergone genetic sequencing, but had not yet received their results, assessing attitudes to direct outreach to relatives. During each interview, we collected contact information for adult relatives identified as members of the same system and attempted to identify each relative in administrative data. We conducted 20 interviews. Most participants expressed support for Kaiser Permanente Washington involvement in familial risk notification. Direct outreach to relatives received the most unqualified support; outreach to the relatives' physician or interaction with the relatives' electronic medical record received more tempered support. Support was motivated by the desire to have risk communicated accurately and quickly. The most common caveat was a desire to alert relatives before the health system contacted them. Of 57 named relatives who were members of the same health system, we retrieved a single match for 40 (70.2%) based on name or birthdate. Health system involvement in familial risk notification received support in a sample of patients in a US integrated health system, and identification of relatives is feasible.
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Affiliation(s)
- Nora B Henrikson
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
| | - Paula R Blasi
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Stephanie M Fullerton
- Department of Bioethics and Humanities, School of Medicine, University of Washington, Seattle, WA, USA
| | - Jane Grafton
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | | | - Gail P Jarvik
- Departments of Medicine (Medical Genetics) and Genome Sciences, University of Washington, Seattle, WA, USA
| | - Eric B Larson
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
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Lu A, Kuhn P, Deichaite I. Time for a change: considering the rights of study participants to ownership of their personal research-grade genomic data. CONVERGENT SCIENCE PHYSICAL ONCOLOGY 2018. [DOI: 10.1088/2057-1739/aaf822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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Shaibi GQ, Kullo IJ, Singh DP, Sharp RR, De Filippis E, Cuellar I, Hernandez V, Levey S, Radecki Breitkopf C, Olson JE, Cerhan JR, Mandarino LJ, Thibodeau SN, Lindor NM. Developing a Process for Returning Medically Actionable Genomic Variants to Latino Patients in a Federally Qualified Health Center. Public Health Genomics 2018; 21:77-84. [PMID: 30522109 DOI: 10.1159/000494488] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2018] [Accepted: 10/14/2018] [Indexed: 12/14/2022] Open
Abstract
AIM To develop a process for returning medically actionable genomic variants to Latino patients receiving care in a Federally Qualified Health Center. METHODS Prior to recruitment, researchers met with primary care providers to (1) orient clinicians to the project, (2) establish a process for returning actionable and nonactionable results to participants and providers through the electronic health record, and (3) develop a process for offering clinical decision support for follow-up education and care. A Community Advisory Board was engaged to provide input on recruitment strategies and materials for conveying results to participants. Participants in the Sangre Por Salud (Blood for Health) Biobank with hyperlipidemia or colon polyps represented the pool of potentially eligible participants. RESULTS A total of 1,621 individuals were invited to participate and 710 agreed to an in- person consenting visit (194 no-showed and 16 declined). Over 12-months, 500 participants were enrolled. Participants were primarily Spanish-speaking (81.6%), female (74.2%), and enrolled because of hyperlipidemia (95.4%). All but 2 participants opted to receive primary (i.e., related to enrollment phenotypes) as well as secondary actionable results. CONCLUSION Efforts to bring precision medicine to community-based health centers serving minority patients may require multilevel engagement activities to include individuals, providers, health systems, and the community.
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Affiliation(s)
- Gabriel Q Shaibi
- Center for Health Promotion and Disease Prevention, College of Nursing and Health Innovation, Arizona State University, Phoenix, Arizona, USA,
| | - Iftikhar J Kullo
- Department of Cardiovascular Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Richard R Sharp
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Idali Cuellar
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Sharon Levey
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Janet E Olson
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - James R Cerhan
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Lawrence J Mandarino
- Division of Endocrinology, Department of Medicine, and Center for Disparities in Diabetes, Obesity, and Metabolism, University of Arizona, Tucson, Arizona, USA
| | - Stephen N Thibodeau
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Noralane M Lindor
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
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Stein CM, Ponsaran R, Trapl ES, Goldenberg AJ. Experiences and perspectives on the return of secondary findings among genetic epidemiologists. Genet Med 2018; 21:1541-1547. [PMID: 30467403 DOI: 10.1038/s41436-018-0369-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2018] [Accepted: 11/06/2018] [Indexed: 11/09/2022] Open
Abstract
PURPOSE While there has been a recent increase in scholarship around developing policies for the return of results from genetic sequencing, it is not clear whether these approaches are appropriate for genetic epidemiology studies. Because genetic epidemiological research increasingly utilizes genome sequencing methods, particularly in large data sets where researchers did not directly ascertain the subjects, it is important to understand researchers' perspectives on the return of results. METHODS We conducted an online survey of members of the International Genetic Epidemiology Society to document the diversity of experiences and impressions regarding return of results. The survey contained both closed and open-ended questions. RESULTS Among our respondents who enroll their own research participants, only 21% return secondary findings. Most respondents do not search their sequence data for clinically actionable findings not associated with their disease of interest. Many feel that genetic epidemiologists have a unique perspective on the return of results and that research studies should not follow the same procedures as clinical sequencing studies. CONCLUSION Precision medicine initiatives that rely on both clinical and "big data" genomic research should account for variation in researcher perspectives and study design limitations when developing policies and standard practices regarding the return of results.
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Affiliation(s)
- Catherine M Stein
- Department of Population & Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Roselle Ponsaran
- Department of Bioethics, Case Western Reserve University, Cleveland, OH, USA
| | - Erika S Trapl
- Department of Population & Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Aaron J Goldenberg
- Department of Bioethics, Case Western Reserve University, Cleveland, OH, USA.
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Kullo IJ, Olson J, Fan X, Jose M, Safarova M, Radecki Breitkopf C, Winkler E, Kochan DC, Snipes S, Pacyna JE, Carney M, Chute CG, Gupta J, Jose S, Venner E, Murugan M, Jiang Y, Zordok M, Farwati M, Philogene M, Smith E, Shaibi GQ, Caraballo P, Freimuth R, Lindor NM, Sharp R, Thibodeau SN. The Return of Actionable Variants Empirical (RAVE) Study, a Mayo Clinic Genomic Medicine Implementation Study: Design and Initial Results. Mayo Clin Proc 2018; 93:1600-1610. [PMID: 30392543 PMCID: PMC6652203 DOI: 10.1016/j.mayocp.2018.06.026] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2018] [Revised: 05/04/2018] [Accepted: 06/08/2018] [Indexed: 12/02/2022]
Abstract
OBJECTIVES To identify clinically actionable genetic variants from targeted sequencing of 68 disease-related genes, estimate their penetrance, and assess the impact of disclosing results to participants and providers. PATIENTS AND METHODS The Return of Actionable Variants Empirical (RAVE) Study investigates outcomes following the return of pathogenic/likely pathogenic (P/LP) variants in 68 disease-related genes. The study was initiated in December 2016 and is ongoing. Targeted sequencing was performed in 2533 individuals with hyperlipidemia or colon polyps. The electronic health records (EHRs) of participants carrying P/LP variants in 36 cardiovascular disease (CVD) genes were manually reviewed to ascertain the presence of relevant traits. Clinical outcomes, health care utilization, family communication, and ethical and psychosocial implications of disclosure of genomic results are being assessed by surveys, telephone interviews, and EHR review. RESULTS Of 29,208 variants in the 68 genes, 1915 were rare (frequency <1%) and putatively functional, and 102 of these (60 in 36 CVD genes) were labeled P/LP based on the American College of Medical Genetics and Genomics framework. Manual review of the EHRs of participants (n=73 with P/LP variants in CVD genes) revealed that 33 had the expected trait(s); however, only 6 of 45 participants with non-familial hypercholesterolemia (FH) P/LP variants had the expected traits. CONCLUSION Expected traits were present in 13% of participants with P/LP variants in non-FH CVD genes, suggesting low penetrance; this estimate may change with additional testing performed as part of the clinical evaluation. Ongoing analyses of the RAVE Study will inform best practices for genomic medicine.
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Affiliation(s)
- Iftikhar J Kullo
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN.
| | - Janet Olson
- Department of Health Sciences Research, Biomedical Ethics Program, Mayo Clinic, Rochester, MN
| | - Xiao Fan
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | - Merin Jose
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | - Maya Safarova
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | | | - Erin Winkler
- Center for Individualized Medicine-Genomics, Mayo Clinic, Rochester, MN
| | - David C Kochan
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | - Sara Snipes
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | - Joel E Pacyna
- Department of Health Sciences Research, Biomedical Ethics Program, Mayo Clinic, Rochester, MN
| | - Meaghan Carney
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | - Christopher G Chute
- Johns Hopkins University, Schools of Medicine, Public Health and Nursing, Baltimore, MD
| | - Jyoti Gupta
- National Human Genome Research Institute, Bethesda, MD
| | - Sheethal Jose
- National Human Genome Research Institute, Bethesda, MD
| | - Eric Venner
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX
| | - Mullai Murugan
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX
| | - Yunyun Jiang
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX
| | - Magdi Zordok
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | - Medhat Farwati
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | | | - Erica Smith
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | - Gabriel Q Shaibi
- Center for Health Promotion and Disease Prevention, Arizona State University, Phoenix, AZ
| | | | - Robert Freimuth
- Department of Health Sciences Research, Biomedical Ethics Program, Mayo Clinic, Rochester, MN
| | | | - Richard Sharp
- Department of Health Sciences Research, Biomedical Ethics Program, Mayo Clinic, Rochester, MN
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Paquette ED, Derrington SF, Shukla A, Sinha N, Oswald S, Sorce L, Michelson KN. Biobanking in the Pediatric Critical Care Setting: Adolescent/Young Adult Perspectives. J Empir Res Hum Res Ethics 2018; 13:391-401. [PMID: 29900801 PMCID: PMC6146019 DOI: 10.1177/1556264618782231] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Biorepository research in children raises numerous ethical questions that are heightened in the pediatric intensive care unit (PICU) setting. We conducted a cross-sectional, interview-based study of 20 adolescent/young adult (A/YA) PICU patients and 75 parents of PICU patients to elucidate perspectives on biorepository research. A/YAs had a positive attitude toward biobanking. In young adults, comprehension was higher for knowledge of a choice to withdraw and participate in the research and lower for purpose, procedures, risks, and benefits of participation. All but one A/YA wanted to have a say in whether their samples would be used. Parent views on child assent were mixed; 55% of parents favored child involvement in decisions. Efforts should be made to improve comprehension by A/YAs and involvement of A/YAs in decisions.
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Affiliation(s)
- Erin D Paquette
- 1 Northwestern University, Chicago, IL, USA
- 2 Ann & Robert H. Lurie Children's Hospital of Chicago, IL, USA
| | - Sabrina F Derrington
- 1 Northwestern University, Chicago, IL, USA
- 2 Ann & Robert H. Lurie Children's Hospital of Chicago, IL, USA
| | - Avani Shukla
- 2 Ann & Robert H. Lurie Children's Hospital of Chicago, IL, USA
| | - Neha Sinha
- 3 Geisinger Medical Center, Danville, PA, USA
| | | | - Lauren Sorce
- 2 Ann & Robert H. Lurie Children's Hospital of Chicago, IL, USA
| | - Kelly N Michelson
- 1 Northwestern University, Chicago, IL, USA
- 2 Ann & Robert H. Lurie Children's Hospital of Chicago, IL, USA
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Strengthen federal and local policies to advance precision health implementation and nurses’ impact on healthcare quality and safety. Nurs Outlook 2018; 66:401-406. [DOI: 10.1016/j.outlook.2018.06.001] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
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Morgan TM. Genomic Screening: The Mutation and the Mustard Seed. THE JOURNAL OF LAW, MEDICINE & ETHICS : A JOURNAL OF THE AMERICAN SOCIETY OF LAW, MEDICINE & ETHICS 2018; 46:541-546. [PMID: 30146977 PMCID: PMC9547665 DOI: 10.1177/1073110518782963] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Affiliation(s)
- Thomas M Morgan
- Thomas M. Morgan, M.D., F.A.C.M.G., is an Associate Professor of Pediatrics at Vanderbilt University School of Medicine
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