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Chung CCY, Chu ATW, Chung BHY. A roadmap for genome projects to foster psychosocial and economic evidence to further policy and practice. COMMUNICATIONS MEDICINE 2025; 5:198. [PMID: 40425802 PMCID: PMC12117056 DOI: 10.1038/s43856-025-00917-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2024] [Accepted: 05/13/2025] [Indexed: 05/29/2025] Open
Abstract
Advances in genomic sequencing (GS) have transformed personalised treatment strategies for genetic diseases across a diverse array of clinical indications, resulting in notable public health progress. However, limited evidence on the broader psychosocial and economic impacts hinders its widespread adoption in healthcare systems. The launch of genome projects offers an opportunity to address the unmet needs of a wide range of genetic diseases. This Perspective examines the multi-dimensional effectiveness of GS and summarises indicators and measurement tools for psychosocial and economic outcomes. It highlights priority areas identified by the Clinical Sequencing Exploratory Research Consortium. Drawing on initiatives such as the Genomics England 100,000 Genomes Project and Australian Genomics initiative, this article showcases best practices in selecting outcome measures for assessing the effectiveness of GS in policy and practice. This Perspective intends to equip future studies with a strategic and sustainable approach for outcome-oriented research within genome projects, facilitating evidence-based clinical implementation of GS in an appropriate, equitable and efficient manner.
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Affiliation(s)
- Claudia Ching Yan Chung
- Hong Kong Genome Institute, Hong Kong Special Administrative Region, Hong Kong, China
- Department of Paediatrics and Adolescent Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, China
| | - Annie Tsz Wai Chu
- Hong Kong Genome Institute, Hong Kong Special Administrative Region, Hong Kong, China.
| | - Brian Hon Yin Chung
- Hong Kong Genome Institute, Hong Kong Special Administrative Region, Hong Kong, China.
- Department of Paediatrics and Adolescent Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, China.
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Abbott M, Ryan M, Hernández R, Heidenreich S, Miedzybrodzka Z. Beyond the Diagnosis: Valuing Genome-Wide Sequencing for Rare Disease Diagnosis Using Contingent Valuation. APPLIED HEALTH ECONOMICS AND HEALTH POLICY 2025; 23:425-439. [PMID: 40082384 PMCID: PMC12052812 DOI: 10.1007/s40258-025-00948-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 01/19/2025] [Indexed: 03/16/2025]
Abstract
BACKGROUND AND OBJECTIVE The utility of genome-wide sequencing is often quantified in terms of its diagnostic yield. Although obtaining a diagnosis is a fundamental aspect of value, service users also value broader clinical, informational, process and psychological factors in the provision of genomic testing. This study aims to value genome-wide sequencing from the user perspective in Scotland. METHODS A survey was developed and administered to 1014 patients and families with experience of genome-wide sequencing to diagnose a rare condition in Scotland. Participants' willingness to pay for genomic testing was elicited using a contingent valuation payment card. The survey included two genomic-related patient-reported outcome measures: (i) the Personal Utility Scale (PrU) to generate scores for the personal utility of genome-wide sequencing; and (ii) a subscale of the Feelings About Genomic Testing Results (FACTOR) questionnaire to measure negative psychological outcomes. Data were also collected on participants' prior experiences of genomic testing services. A double-hurdle regression model investigated the predictors of patients' willingness to pay for genomic testing. RESULTS Of the 1014 invitations sent, 171 contingent valuation questionnaires were returned. Diagnosed participants reported higher personal utility on PrU than undiagnosed participants. However, both groups reported similar negative psychological outcomes on FACTOR. Diagnosed participants were willing to pay £2043 for genome-wide sequencing, compared with £835 for undiagnosed participants. Diagnostic status, waiting time for results and FACTOR scores (negative psychological outcomes) influenced users' valuations of genome-wide sequencing. CONCLUSIONS Obtaining a diagnosis is a fundamental component of utility in the provision of genomic testing. However, there is still value to those who do not receive a diagnosis. These results have implications for service delivery, such as providing targeted pre-test and post-test genetic counselling, and investing in efficient genome sequencing pipelines to reduce waiting times. Valuing the user experience of genomic testing aligns with patient-centred approaches to the provision of healthcare.
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Affiliation(s)
- Michael Abbott
- Health Economics Research Unit, University of Aberdeen, Aberdeen, UK.
| | - Mandy Ryan
- Health Economics Research Unit, University of Aberdeen, Aberdeen, UK
| | - Rodolfo Hernández
- Health Economics Research Unit, University of Aberdeen, Aberdeen, UK
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Maxwell G, Allen R, Kelley S, Hodge L, Hollitt GL, Seviiri M, Thomson D, Schmidt J, Craig JE, Cohen-Woods S, Souzeau E. Impact of polygeNic risk score for glaucoma on psycHosocial ouTcomes (INSiGHT) study protocol. PLoS One 2024; 19:e0312390. [PMID: 39724070 DOI: 10.1371/journal.pone.0312390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2024] [Accepted: 10/07/2024] [Indexed: 12/28/2024] Open
Abstract
Glaucoma is the leading cause of irreversible blindness with early detection and intervention critical to slowing disease progression. However, half of those affected are undiagnosed. This is largely due to the early stages of disease being asymptomatic; current population-based screening measures being unsupported; and a lack of current efficient prediction models. Research investigating polygenic risk scores (PRS) for glaucoma have shown predictive ability to identify individuals at higher risk. Potential clinical applications include identification of high-risk individuals, resulting in earlier diagnosis and treatment to prevent glaucoma blindness, and adjusted monitoring for low-risk individuals. However, the psychological impact of receiving glaucoma PRS is unknown. There is a critical need to evaluate risk information communication and assess the impact of receiving results, to support clinical implementation of glaucoma PRS testing. In this prospective study, 300 individuals from the GRADE (Genetic Risk Assessment of Degenerative Eye disease) study will be recruited to investigate the psychosocial impact of disclosing polygenic risk results for glaucoma. GRADE aimed to apply PRS testing on 1,000 unexamined individuals aged 50 years or older from the general population and examine a subset of these individuals to assess the clinical validity of PRS to detect glaucoma. In this study, individuals each from the bottom decile (10%), top decile (10%), and middle (45-55%) of the PRS distributions will be invited to receive research glaucoma PRS results. Participants who choose to receive their results will complete up to four questionnaires (prior to receiving their results, and subsequently two-weeks, six- and 12-months after receiving their result). The questionnaires will include health belief model measures and assess glaucoma anxiety, general anxiety and depression, test-related distress, decisional regret, and recall and understanding of results. This research will provide guidance for the implementation of polygenic risk testing into clinical practice and inform delivery strategies.
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Affiliation(s)
- Giorgina Maxwell
- Department of Ophthalmology, Flinders Medical and Health Research Institute, Flinders University, Adelaide, SA, Australia
| | - Robert Allen
- Department of Ophthalmology, Flinders Medical and Health Research Institute, Flinders University, Adelaide, SA, Australia
- Department of Psychology, Flinders Medical and Health Research Institute, Flinders University, Adelaide, SA, Australia
| | - Simone Kelley
- Department of Ophthalmology, Flinders Medical and Health Research Institute, Flinders University, Adelaide, SA, Australia
- Department of Psychology, Flinders Medical and Health Research Institute, Flinders University, Adelaide, SA, Australia
| | - Lucinda Hodge
- Department of Ophthalmology, Flinders Medical and Health Research Institute, Flinders University, Adelaide, SA, Australia
- Department of Psychology, Flinders Medical and Health Research Institute, Flinders University, Adelaide, SA, Australia
| | - Georgina L Hollitt
- Department of Ophthalmology, Flinders Medical and Health Research Institute, Flinders University, Adelaide, SA, Australia
| | - Mathias Seviiri
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Daniel Thomson
- Department of Ophthalmology, Flinders Medical and Health Research Institute, Flinders University, Adelaide, SA, Australia
| | - Joshua Schmidt
- Department of Ophthalmology, Flinders Medical and Health Research Institute, Flinders University, Adelaide, SA, Australia
| | - Jamie E Craig
- Department of Ophthalmology, Flinders Medical and Health Research Institute, Flinders University, Adelaide, SA, Australia
| | - Sarah Cohen-Woods
- Department of Psychology, Flinders Medical and Health Research Institute, Flinders University, Adelaide, SA, Australia
| | - Emmanuelle Souzeau
- Department of Ophthalmology, Flinders Medical and Health Research Institute, Flinders University, Adelaide, SA, Australia
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Smith HS, Rubanovich CK, Robinson JO, Levchenko AN, Classen SA, Malek J, Buchanan AH, Biesecker B, Brothers KB, Wilfond BS, Rini C, Bloss CS, McGuire AL, Knight SJ. Measuring perceived utility of genomic sequencing: Development and validation of the GENEtic Utility (GENE-U) scale for adult screening. Genet Med 2024; 26:101240. [PMID: 39140259 PMCID: PMC11562923 DOI: 10.1016/j.gim.2024.101240] [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: 02/20/2024] [Revised: 08/07/2024] [Accepted: 08/07/2024] [Indexed: 08/15/2024] Open
Abstract
PURPOSE As population-based screening programs to identify genetic conditions in adults using genomic sequencing (GS) are increasingly available, validated patient-centered outcome measures are needed to understand participants' experience. We aimed to develop and validate an instrument to assess the perceived utility of GS in the context of adult screening. METHODS Informed by a 5-domain conceptual model, we used a 5-step approach to instrument development and validation: (1) item writing, (2) cognitive testing, (3) pilot testing and item reduction, (4) psychometric testing, and (5) evaluation of construct validity. Adults undergoing risk-based or population-based GS who had received GS results as part of ongoing research studies participated in structured cognitive interviews and 2 rounds of surveys. After item pool refinement, we conducted an exploratory factor analysis and calculated Pearson correlations with related instruments. RESULTS We derived the 18-item Adult Screening version of the GENEtic Utility scale (total sum score α = .87). Mirroring the Pediatric Diagnostic version, the instrument has a 2-factor structure, including an Informational Utility subscale (14 items, α = .89) and an Emotional Utility subscale (4 items, α = .75). The Informational Utility subscale was strongly associated with empowerment and personal utility of GS. Correlations of the Emotional Utility subscale with psychosocial impact and anxiety and depression were weak to moderate. CONCLUSION Initial psychometric testing of the Adult Screening GENEtic Utility scale demonstrates its promise, and additional validation in translational genomics research is warranted.
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Affiliation(s)
- Hadley Stevens Smith
- PRecisiOn Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Medical School, Boston, MA; Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX.
| | - Caryn Kseniya Rubanovich
- San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA
| | - Jill Oliver Robinson
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX
| | - Ariel N Levchenko
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX
| | - Sarah A Classen
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX
| | - Janet Malek
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX
| | - Adam H Buchanan
- Department of Genomic Health, Geisinger Health, Danville, PA
| | | | - Kyle B Brothers
- Norton Children's Research Institute affiliated with the University of Louisville School of Medicine, Louisville, KY
| | - Benjamin S Wilfond
- Treuman Katz Center for Pediatric Bioethics and Palliative Care, Seattle Children's Research Institute, Seattle, WA; Division of Bioethics and Palliative Care, Department of Pediatrics, University of Washington School of Medicine, Seattle, WA
| | - Christine Rini
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL; Robert H. Lurie Comprehensive Cancer Center of Northwestern University, Chicago, IL
| | - Cinnamon S Bloss
- Herbert Wertheim School of Public Health, University of California San Diego, San Diego, CA
| | - Amy L McGuire
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX
| | - Sara J Knight
- Division of Epidemiology, Department of Internal Medicine, University of Utah, Salt Lake City, UT
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Smith HS, Zettler B, Genetti CA, Hickingbotham MR, Coleman TF, Lebo M, Nagy A, Zouk H, Mahanta L, Christensen KD, Pereira S, Shah ND, Gold NB, Walmsley S, Edwards S, Homayouni R, Krasan GP, Hakonarson H, Horowitz CR, Gelb BD, Korf BR, McGuire AL, Holm IA, Green RC. The BabySeq Project: A clinical trial of genome sequencing in a diverse cohort of infants. Am J Hum Genet 2024; 111:2094-2106. [PMID: 39288765 PMCID: PMC11480845 DOI: 10.1016/j.ajhg.2024.08.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2023] [Revised: 08/15/2024] [Accepted: 08/15/2024] [Indexed: 09/19/2024] Open
Abstract
Efforts to implement and evaluate genome sequencing (GS) as a screening tool for newborns and infants are expanding worldwide. The first iteration of the BabySeq Project (2015-2019), a randomized controlled trial of newborn sequencing, produced novel evidence on medical, behavioral, and economic outcomes. The second iteration of BabySeq, which began participant recruitment in January 2023, examines GS outcomes in a larger, more diverse cohort of more than 500 infants up to one year of age recruited from pediatric clinics at several sites across the United States. The trial aims for families who self-identify as Black/African American or Hispanic/Latino to make up more than 50% of final enrollment, and key aspects of the trial design were co-developed with a community advisory board. All enrolled families receive genetic counseling and a family history report. Half of enrolled infants are randomized to receive GS with comprehensive interpretation of pathogenic and likely pathogenic variants in more than 4,300 genes associated with childhood-onset and actionable adult-onset conditions, as well as larger-scale chromosomal copy number variants classified as pathogenic or likely pathogenic. GS result reports include variants associated with disease (Mendelian disease risks) and carrier status of autosomal-recessive and X-linked disorders. Investigators evaluate the utility and impacts of implementing a GS screening program in a diverse cohort of infants using medical record review and longitudinal parent surveys. In this perspective, we describe the rationale for the second iteration of the BabySeq Project, the outcomes being assessed, and the key decisions collaboratively made by the study team and community advisory board.
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Affiliation(s)
- Hadley Stevens Smith
- Department of Population Medicine, Precision Medicine Translational Research (PROMoTeR) Center, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA; Center for Bioethics, Harvard Medical School, Boston, MA 02215, USA
| | - Bethany Zettler
- Department of Medicine, Mass General Brigham, Boston, MA 02115, USA; Ariadne Labs, Boston, MA 02215, USA
| | - Casie A Genetti
- Division of Genetics and Genomics, Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, MA 02115, USA
| | - Madison R Hickingbotham
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA
| | - Tanner F Coleman
- HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806, USA
| | - Matthew Lebo
- Laboratory for Molecular Medicine, Mass General Brigham Personalized Medicine, Boston, MA 02139, USA; Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02215, USA; Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Anna Nagy
- Laboratory for Molecular Medicine, Mass General Brigham Personalized Medicine, Boston, MA 02139, USA
| | - Hana Zouk
- Laboratory for Molecular Medicine, Mass General Brigham Personalized Medicine, Boston, MA 02139, USA; Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02215, USA; Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Lisa Mahanta
- Laboratory for Molecular Medicine, Mass General Brigham Personalized Medicine, Boston, MA 02139, USA
| | - Kurt D Christensen
- Department of Population Medicine, Precision Medicine Translational Research (PROMoTeR) Center, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA; Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Stacey Pereira
- Center for Medical Ethics & Health Policy, Baylor College of Medicine, Houston, TX 77030, USA
| | - Nidhi D Shah
- Division of Genetics and Genomics, Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, MA 02115, USA; Broad Institute of Harvard and MIT, Cambridge, MA, USA; Dartmouth Health Children's, Lebanon, NH 03756, USA
| | - Nina B Gold
- Massachusetts General Hospital for Children, Division of Medical Genetics and Metabolism, Boston, MA 02114, USA; Harvard Medical School, Department of Pediatrics, Boston, MA 02115, USA
| | - Sheyenne Walmsley
- Department of Medicine, Mass General Brigham, Boston, MA 02115, USA; Ariadne Labs, Boston, MA 02215, USA
| | | | - Ramin Homayouni
- Department of Foundational Medical Studies, Oakland University William Beaumont School of Medicine, Rochester, MI 48309, USA
| | - Graham P Krasan
- Department of Pediatrics, Corewell Health William Beaumont University Hospital, Royal Oak, MI 48073, USA
| | - Hakon Hakonarson
- Center for Applied Genomics, The Joseph Stokes Jr. Research Institute of Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Carol R Horowitz
- Department of Population Health Science and Policy, Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Bruce D Gelb
- Mindich Child Health and Development Institute and the Departments of Pediatrics and Genetics & Genomic Sciences Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Bruce R Korf
- Department of Genetics, UAB Heersink School of Medicine, Birmingham, AL 35233, USA
| | - Amy L McGuire
- Center for Medical Ethics & Health Policy, Baylor College of Medicine, Houston, TX 77030, USA
| | - Ingrid A Holm
- Division of Genetics and Genomics, Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, MA 02115, USA; Harvard Medical School, Department of Pediatrics, Boston, MA 02115, USA.
| | - Robert C Green
- Department of Medicine, Mass General Brigham, Boston, MA 02115, USA; Ariadne Labs, Boston, MA 02215, USA; Broad Institute of Harvard and MIT, Cambridge, MA, USA
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Vassy JL, Brunette CA, Yi T, Harrison A, Cardellino MP, Assimes TL, Christensen KD, Devineni P, Gaziano JM, Gong X, Hui Q, Knowles JW, Muralidhar S, Natarajan P, Pyarajan S, Sears MG, Shi Y, Sturm AC, Whitbourne SB, Sun YV, Danowski ME. Design and pilot results from the Million Veteran Program Return Of Actionable Results (MVP-ROAR) Study. Am Heart J 2024; 276:99-109. [PMID: 38762090 DOI: 10.1016/j.ahj.2024.04.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Revised: 04/30/2024] [Accepted: 04/30/2024] [Indexed: 05/20/2024]
Abstract
BACKGROUND As a mega-biobank linked to a national healthcare system, the Million Veteran Program (MVP) can directly improve the health care of participants. To determine the feasibility and outcomes of returning medically actionable genetic results to MVP participants, the program launched the MVP Return of Actionable Results (MVP-ROAR) Study, with familial hypercholesterolemia (FH) as an exemplar actionable condition. METHODS The MVP-ROAR Study consists of a completed single-arm pilot phase and an ongoing randomized clinical trial (RCT), in which MVP participants are recontacted and invited to receive clinical confirmatory gene sequencing testing and a telegenetic counseling intervention. The primary outcome of the RCT is 6-month change in low-density lipoprotein cholesterol (LDL-C) between participants receiving results at baseline and those receiving results after 6 months. RESULTS The pilot developed processes to identify and recontact participants nationally with probable pathogenic variants in low-density lipoprotein receptor (LDLR) on the MVP genotype array, invite them to clinical confirmatory gene sequencing, and deliver a telegenetic counseling intervention. Among participants in the pilot phase, 8 (100%) had active statin prescriptions after 6 months. Results were shared with 16 first-degree family members. Six-month ΔLDL-C (low-density lipoprotein cholesterol) after the genetic counseling intervention was -37 mg/dL (95% CI: -12 to -61; P = .03). The ongoing RCT will determine between-arm differences in this primary outcome. CONCLUSION While underscoring the importance of clinical confirmation of research results, the pilot phase of the MVP-ROAR Study marks a turning point in MVP and demonstrates the feasibility of returning genetic results to participants and their providers. The ongoing RCT will contribute to understanding how such a program might improve patient health care and outcomes. CLINICAL TRIAL REGISTRATION ClinicalTrials.gov ID NCT04178122.
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Affiliation(s)
- Jason L Vassy
- VA Boston Healthcare System, Boston, MA; Departments of Medicine and Population Medicine, Harvard Medical School, Boston, MA.
| | - Charles A Brunette
- VA Boston Healthcare System, Boston, MA; Departments of Medicine and Population Medicine, Harvard Medical School, Boston, MA
| | - Thomas Yi
- VA Boston Healthcare System, Boston, MA
| | | | | | - Themistocles L Assimes
- Department of Medicine, Stanford University School of Medicine, Palo Alto, CA; VA Palo Alto Health Care System, Palo Alto, CA
| | - Kurt D Christensen
- Departments of Medicine and Population Medicine, Harvard Medical School, Boston, MA; PRecisiOn Medicine Translational Research Center, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA
| | | | - J Michael Gaziano
- VA Boston Healthcare System, Boston, MA; Departments of Medicine and Population Medicine, Harvard Medical School, Boston, MA
| | - Xin Gong
- VA Boston Healthcare System, Boston, MA
| | - Qin Hui
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA; VA Atlanta Healthcare System, Decatur, GA
| | - Joshua W Knowles
- Department of Medicine, Stanford University School of Medicine, Palo Alto, CA
| | - Sumitra Muralidhar
- Veterans Health Administration, Office of Research and Development, Washington, DC
| | - Pradeep Natarajan
- Departments of Medicine and Population Medicine, Harvard Medical School, Boston, MA; Division of Cardiology, Massachusetts General Hospital, Boston, MA; Broad Institute of Harvard and MIT, Cambridge, MA
| | | | | | | | | | | | - Yan V Sun
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA; VA Atlanta Healthcare System, Decatur, GA
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Outram SM, Brown JEH, Norstad M, Zamora AN, Ackerman SL. Experts' Views on Children's Access to Community-Based Therapeutic and Education Services After Genomic Sequencing Results. J Dev Behav Pediatr 2024; 45:e456-e462. [PMID: 38990145 PMCID: PMC11483206 DOI: 10.1097/dbp.0000000000001299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 05/13/2024] [Indexed: 07/12/2024]
Abstract
OBJECTIVE To evaluate how community-based experts respond to families seeking therapeutic and educational support services after pediatric genomic sequencing for rare conditions. METHODS We interviewed 15 experts in the provision of community-based services for children with intellectual differences, developmental differences, or both, as part of a large study examining the utility of exome sequencing. RESULTS Interviewees highlighted the complexity of the overall referral and assessment system for therapeutic or educational needs, that genetic diagnoses are secondary to behavioral observations in respect to eligibility for the provision of services, and that social capital drives service acquisition. Although emphasizing that genetic results do not currently provide sufficient information for determining service eligibility, interviewees also highlighted their hopes that genetics would be increasingly relevant in the future. CONCLUSION Genomic results do not usually provide information that directly impacts service provision. However, a positive genomic test result can strengthen evidence for behavioral diagnoses and the future trajectory of a child's condition and support needs. Interviewees' comments suggest a need to combine emerging genetic knowledge with existing forms of therapeutic and educational needs assessment, and for additional supports for families struggling to navigate social and therapeutic services.
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Affiliation(s)
- Simon M Outram
- Division of Prevention Science, University of California San Francisco, San Francisco, CA
| | - Julia E H Brown
- Program in Bioethics, Institute for Health and Aging, University of California San Francisco, San Francisco, CA
| | - Matthew Norstad
- Program in Bioethics, Institute for Health and Aging, University of California San Francisco, San Francisco, CA
| | - Astrid N Zamora
- Maternal and Child Health Research Institute, School of Medicine, Stanford University, Stanford, CA
| | - Sara L Ackerman
- Division of Prevention Science, University of California San Francisco, San Francisco, CA
- Department of Social and Behavioral Sciences, University of California San Francisco, San Francisco, CA
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McInerny S, Mascarenhas L, Yanes T, Petelin L, Chenevix-Trench G, Southey MC, Young MA, James PA. Using polygenic risk modification to improve breast cancer prevention: study protocol for the PRiMo multicentre randomised controlled trial. BMJ Open 2024; 14:e087874. [PMID: 39107016 PMCID: PMC11308879 DOI: 10.1136/bmjopen-2024-087874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2024] [Accepted: 07/16/2024] [Indexed: 08/09/2024] Open
Abstract
INTRODUCTION Established personal and familial risk factors contribute collectively to a woman's risk of breast or ovarian cancer. Existing clinical services offer genetic testing for pathogenic variants in high-risk genes to investigate these risks but recent information on the role of common genomic variants, in the form of a Polygenic Risk Score (PRS), has provided the potential to further personalise breast and ovarian cancer risk assessment. Data from cohort studies support the potential of an integrated risk assessment to improve targeted risk management but experience of this approach in clinical practice is limited. METHODS AND ANALYSIS The polygenic risk modification trial is an Australian multicentre prospective randomised controlled trial of integrated risk assessment including personal and family risk factors with inclusion of breast and ovarian PRS vs standard care. The study will enrol women, unaffected by cancer, undergoing predictive testing at a familial cancer clinic for a pathogenic variant in a known breast cancer (BC) or ovarian cancer (OC) predisposition gene (BRCA1, BRCA2, PALB2, CHEK2, ATM, RAD51C, RAD51D). Array-based genotyping will be used to generate breast cancer (313 SNP) and ovarian cancer (36 SNP) PRS. A suite of materials has been developed for the trial including an online portal for patient consent and questionnaires, and a clinician education programme to train healthcare providers in the use of integrated risk assessment. Long-term follow-up will evaluate differences in the assessed risk and management advice, patient risk management intentions and adherence, patient-reported experience and outcomes, and the health service implications of personalised risk assessment. ETHICS AND DISSEMINATION This study has been approved by the Human Research Ethics Committee of Peter MacCallum Cancer Centre and at all participating centres. Study findings will be disseminated via peer-reviewed publications and conference presentations, and directly to participants. TRIAL REGISTRATION NUMBER ACTRN12621000009819.
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Affiliation(s)
- Simone McInerny
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Parkville Familial Cancer Centre, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Lyon Mascarenhas
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Parkville Familial Cancer Centre, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Tatiane Yanes
- Frazer Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Queensland, Australia
| | - Lara Petelin
- The Daffodil Centre, joint venture with Cancer Council NSW, The University of Sydney, Sydney, New South Wales, Australia
- The University of Melbourne School of Population and Global Health, Melbourne, Victoria, Australia
| | - Georgia Chenevix-Trench
- Cancer Genetics Laboratory, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia
| | - Melissa C Southey
- Precision Medicine, Monash University School of Clinical Sciences at Monash Health, Clayton, Victoria, Australia
- Cancer Council Victoria Cancer Epidemiology Division, Melbourne, Victoria, Australia
| | - Mary-Anne Young
- Clinical Translation and Engagement Platform, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia
- School of Clinical Medicine, St Vincent's Healthcare Clinical Campus, Faculty of Medicine and Health, UNSW Sydney, Sydney, New South Wales, Australia
| | - Paul A James
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Parkville Familial Cancer Centre, The Royal Melbourne Hospital, Parkville, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria, Australia
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Charnysh E, Pal S, Reader JM, Uhlmann WR, McCain S, Sanghavi K, Blasco D, Brandt R, Feero WG, Ferber R, Giri VN, Hendy K, Prince AER, Lee C, Roberts JS. Health care utilization and behavior changes after workplace genetic testing at a large US health care system. Genet Med 2024; 26:101160. [PMID: 38733246 PMCID: PMC11566502 DOI: 10.1016/j.gim.2024.101160] [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: 12/28/2023] [Revised: 05/01/2024] [Accepted: 05/01/2024] [Indexed: 05/13/2024] Open
Abstract
PURPOSE This study explored employee health behavior changes and health care utilization after workplace genetic testing (wGT). Wellness-program-associated wGT seeks to improve employee health, but the related health implications are unknown. METHODS Employees of a large US health care system offering wGT (cancer, heart disease, and pharmacogenomics [PGx]) were sent electronic surveys. Self-reported data from those who received test results were analyzed. Descriptive statistics characterized responses, whereas logistic regression analyses explored correlates of responses to wGT. RESULTS 53.9% (n = 418/776) of respondents (88.3% female, mean age = 44 years) reported receiving wGT results. 12.0% (n = 48/399) received results indicating increased risk (IR) of cancer, 9.5% (n = 38/398) had IR of heart disease, and 31.4% (n = 125/398) received informative PGx results. IR results for cancer and/or heart disease (n = 67) were associated with health behavior changes (adjusted odds ratio: 3.23; 95% CI 1.75, 6.13; P < .001) and health care utilization (adjusted odds ratio: 8.60; 95% CI 4.43, 17.5; P < .001). Informative PGx results (n = 125) were associated with medication changes (PGx-informative: 15.2%; PGx-uninformative: 4.8%; P = .002). CONCLUSION This study explored employee responses to wGT, contributing to the understanding of the ethical and social implications of wGT. Receiving IR results from wGT may promote health behavior changes and health care utilization in employees.
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Affiliation(s)
| | - Subhamoy Pal
- Department of Neurology, University of Michigan School of Medicine, Ann Arbor, MI
| | - Jonathan M Reader
- Department of Neurology, University of Michigan School of Medicine, Ann Arbor, MI
| | - Wendy R Uhlmann
- Departments of Internal Medicine and Human Genetics, University of Michigan School of Medicine, Ann Arbor, MI
| | - Sarah McCain
- Department of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, MI
| | - Kunal Sanghavi
- The Jackson Laboratory for Genomic Medicine, Farmington, CT
| | - Drew Blasco
- Department of Social and Behavioral Health, School of Public Health, University of Nevada, Las Vegas, Las Vegas, NV
| | | | | | - Rebecca Ferber
- Departments of Internal Medicine and Human Genetics, University of Michigan School of Medicine, Ann Arbor, MI
| | - Veda N Giri
- Yale School of Medicine and Yale Cancer Center, New Haven, CT
| | - Katherine Hendy
- Department of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, MI
| | | | - Charles Lee
- The Jackson Laboratory for Genomic Medicine, Farmington, CT.
| | - J Scott Roberts
- Department of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, MI.
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10
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Smith HS, Rubanovich CK, Robinson JO, Levchenko AN, Classen SA, Malek J, Biesecker B, Brothers KB, Wilfond BS, Rini C, Knight SJ, McGuire AL, Bloss CS. Measuring perceived utility of genomic sequencing: Development and validation of the GENEtic Utility (GENE-U) scale for pediatric diagnostic testing. Genet Med 2024; 26:101146. [PMID: 38676451 PMCID: PMC11298290 DOI: 10.1016/j.gim.2024.101146] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 04/16/2024] [Accepted: 04/17/2024] [Indexed: 04/28/2024] Open
Abstract
PURPOSE Measuring the effects of genomic sequencing (GS) on patients and families is critical for translational research. We aimed to develop and validate an instrument to assess parents' perceived utility of pediatric diagnostic GS. METHODS Informed by a 5-domain conceptual model, the study comprised 5 steps: (1) item writing, (2) cognitive testing, (3) pilot testing and item reduction, (4) psychometric testing, and (5) evaluation of construct validity. Parents of pediatric patients who had received results of clinically indicated GS participated in structured cognitive interviews and 2 rounds of surveys. After eliminating items based on theory and quantitative performance, we conducted an exploratory factor analysis and calculated Pearson correlations with related instruments. RESULTS We derived the 21-item Pediatric Diagnostic version of the GENEtic Utility (GENE-U) scale, which has a 2-factor structure that includes an Informational Utility subscale (16 items, α = 0.91) and an Emotional Utility subscale (5 items, α = 0.71). Scores can be summed to calculate a Total scale score (α = 0.87). The Informational Utility subscale was strongly associated with empowerment and personal utility of GS, and the Emotional Utility subscale was moderately associated with psychosocial impact and depression and anxiety. CONCLUSION The pediatric diagnostic GENE-U scale demonstrated good psychometric performance in this initial evaluation and could be a useful tool for translational genomics researchers, warranting additional validation.
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Affiliation(s)
- Hadley Stevens Smith
- PRecisiOn Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Medical School, Boston, MA; Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX.
| | - Caryn Kseniya Rubanovich
- San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA
| | - Jill Oliver Robinson
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX
| | - Ariel N Levchenko
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX
| | - Sarah A Classen
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX
| | - Janet Malek
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX
| | | | - Kyle B Brothers
- Norton Children's Research Institute affiliated with the University of Louisville School of Medicine, Louisville, KY
| | - Benjamin S Wilfond
- Treuman Katz Center for Pediatric Bioethics and Palliative Care, Seattle Children's Research Institute and Hospital, Seattle, WA; Division of Bioethics and Palliative Care, Department of Pediatrics, University of Washington School of Medicine, Seattle, WA
| | - Christine Rini
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL; Robert H. Lurie Comprehensive Cancer Center of Northwestern University, Chicago, IL
| | - Sara J Knight
- Division of Epidemiology, Department of Internal Medicine, University of Utah, Salt Lake City, UT
| | - Amy L McGuire
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX
| | - Cinnamon S Bloss
- Herbert Wertheim School of Public Health, University of California San Diego, San Diego, CA
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11
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Trachtman H, Desmond H, Williams AL, Mariani LH, Eddy S, Ju W, Barisoni L, Ascani HK, Uhlmann WR, Spino C, Holzman LB, Sedor JR, Gadegbeku C, Subramanian L, Lienczewski CC, Manieri T, Roberts SJ, Gipson DS, Kretzler M. Rationale and design of the Nephrotic Syndrome Study Network (NEPTUNE) Match in glomerular diseases: designing the right trial for the right patient, today. Kidney Int 2024; 105:218-230. [PMID: 38245210 PMCID: PMC11090626 DOI: 10.1016/j.kint.2023.11.018] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 11/21/2023] [Accepted: 11/28/2023] [Indexed: 01/22/2024]
Abstract
Glomerular diseases are classified using a descriptive taxonomy that is not reflective of the heterogeneous underlying molecular drivers. This limits not only diagnostic and therapeutic patient management, but also impacts clinical trials evaluating targeted interventions. The Nephrotic Syndrome Study Network (NEPTUNE) is poised to address these challenges. The study has enrolled >850 pediatric and adult patients with proteinuric glomerular diseases who have contributed to deep clinical, histologic, genetic, and molecular profiles linked to long-term outcomes. The NEPTUNE Knowledge Network, comprising combined, multiscalar data sets, captures each participant's molecular disease processes at the time of kidney biopsy. In this editorial, we describe the design and implementation of NEPTUNE Match, which bridges a basic science discovery pipeline with targeted clinical trials. Noninvasive biomarkers have been developed for real-time pathway analyses. A Molecular Nephrology Board reviews the pathway maps together with clinical, laboratory, and histopathologic data assembled for each patient to compile a Match report that estimates the fit between the specific molecular disease pathway(s) identified in an individual patient and proposed clinical trials. The NEPTUNE Match report is communicated using established protocols to the patient and the attending nephrologist for use in their selection of available clinical trials. NEPTUNE Match represents the first application of precision medicine in nephrology with the aim of developing targeted therapies and providing the right medication for each patient with primary glomerular disease.
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Affiliation(s)
- Howard Trachtman
- Division of Nephrology, Department of Pediatrics, University of Michigan, Ann Arbor, Michigan, USA
| | - Hailey Desmond
- Division of Nephrology, Department of Pediatrics, University of Michigan, Ann Arbor, Michigan, USA
| | - Amanda L Williams
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Laura H Mariani
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Sean Eddy
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Wenjun Ju
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA
| | - Laura Barisoni
- Department of Pathology and Medicine, Duke University, Durham, North Carolina, USA
| | - Heather K Ascani
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Wendy R Uhlmann
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA; Department of Human Genetics, University of Michigan, Ann Arbor, Michigan, USA
| | - Cathie Spino
- Statistical Analysis, Biomedical and Educational Research Unit, University of Michigan, Ann Arbor, Michigan, USA
| | - Lawrence B Holzman
- Renal-Electrolyte and Hypertension Division, Department of Internal Medicine, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
| | - John R Sedor
- Department of Kidney Medicine, Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio, USA; Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Crystal Gadegbeku
- Department of Kidney Medicine, Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Lalita Subramanian
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Chrysta C Lienczewski
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Tina Manieri
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Scott J Roberts
- Department of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Debbie S Gipson
- Division of Nephrology, Department of Pediatrics, University of Michigan, Ann Arbor, Michigan, USA
| | - Matthias Kretzler
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA.
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12
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Tamayo LI, Haque SE, Islam T, Ahmed A, Rahman M, Horayra A, Tong L, Chen L, Martinez-Cardoso A, Ahsan H, Pierce BL. Returning personal genetic information on susceptibility to arsenic toxicity to research participants in Bangladesh. ENVIRONMENTAL RESEARCH 2024; 240:117482. [PMID: 37879393 PMCID: PMC10842833 DOI: 10.1016/j.envres.2023.117482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 10/13/2023] [Accepted: 10/22/2023] [Indexed: 10/27/2023]
Abstract
BACKGROUND There is growing consensus that researchers should offer to return genetic results to participants, but returning results in lower-resource countries has received little attention. In this study, we return results on genetic susceptibility to arsenic toxicity to participants in a Bangladeshi cohort exposed to arsenic through naturally-contaminated drinking water. We examine the impact on behavioral changes related to exposure reduction. METHODS We enrolled participants from the Health Effects of Arsenic Longitudinal Study who had (1) high arsenic (≥150 μg/g creatinine) in a recent urine sample and (2) existing data on genetic variants impacting arsenic metabolism efficiency (AS3MT and FTCD). We used genetic data to recruit three study groups, each with n = 103: (1) efficient metabolizers (low-risk), (2) inefficient metabolizers (high-risk), and (3) a randomly-selected control group (NCT05072132). At baseline, all participants received information on the effects of arsenic and how to reduce exposure by switching to a low arsenic well. The two intervention groups also received their arsenic metabolism efficiency status (based on their genetic results). Changes in behavior and arsenic exposure were assessed using questionnaires and urine arsenic measures after six months. RESULTS Clear decreases in urine arsenic after six months were observed for all three groups. The inefficient group self-reported higher levels of attempted switching to lower arsenic wells than the other groups; however, there was no detectable difference in urine arsenic reduction among the three groups. Participants showed strong interest in receiving genetic results and found them useful. The inefficient group experienced higher levels of anxiety than the other groups. Among the efficient group, that receiving genetic results did not appear to hinder behavioral change. CONCLUSION Returning genetic results increased self-reported exposure-reducing behaviors but did not have a detectable impact on reducing urine arsenic over and above a one-on-one educational intervention.
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Affiliation(s)
- Lizeth I Tamayo
- Department of Public Health Sciences, University of Chicago, Chicago, IL, 60615, USA
| | | | - Tariqul Islam
- University of Chicago Research Bangladesh, Dhaka, Bangladesh
| | - Alauddin Ahmed
- University of Chicago Research Bangladesh, Dhaka, Bangladesh
| | - Moziber Rahman
- University of Chicago Research Bangladesh, Dhaka, Bangladesh
| | - Abu Horayra
- University of Chicago Research Bangladesh, Dhaka, Bangladesh
| | - Lin Tong
- Department of Public Health Sciences, University of Chicago, Chicago, IL, 60615, USA
| | - Lin Chen
- Department of Public Health Sciences, University of Chicago, Chicago, IL, 60615, USA
| | | | - Habibul Ahsan
- Department of Public Health Sciences, University of Chicago, Chicago, IL, 60615, USA; Department of Human Genetics, University of Chicago, Chicago, IL, 60615, USA; Department of Medicine, University of Chicago, Chicago, IL, 60615, USA
| | - Brandon L Pierce
- Department of Public Health Sciences, University of Chicago, Chicago, IL, 60615, USA; Department of Human Genetics, University of Chicago, Chicago, IL, 60615, USA; Comprehensive Cancer Center, University of Chicago, Chicago, IL, 60615, USA.
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13
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Turbitt E, Kohler JN, Brothers KB, Outram SM, Rini C, Sahin-Hodoglugil N, Leo MC, Biesecker BB. The Parent PrU: A measure to assess personal utility of pediatric genomic results. Genet Med 2024; 26:100994. [PMID: 37838931 PMCID: PMC10842058 DOI: 10.1016/j.gim.2023.100994] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 10/03/2023] [Accepted: 10/06/2023] [Indexed: 10/16/2023] Open
Abstract
PURPOSE We aimed to adapt and validate an existing patient-reported outcome measure, the personal-utility (PrU) scale, for use in the pediatric genomic context. METHODS We adapted the adult version of the PrU and obtained feedback from 6 parents whose child had undergone sequencing. The resulting measure, the Parent PrU, was administered to parents of children in 4 pediatric cohorts of the Clinical Sequencing Evidence-Generating Research consortium after they received their children's genomic results. We investigated the measure's structural validity and internal consistency. RESULTS We conducted a principal-axis factor analysis with oblimin rotation on data from 755 participants to determine structural validity. These analyses yielded a 3-factor solution, accounting for 76% of the variance in the 16 items. We used Cronbach's α to assess the internal consistency of each factor: (1) child benefits (α = .95), (2) affective parent benefits (α = .90), and (3) parent control (α = .94). CONCLUSION Our evidence suggests that the Parent PrU scale has potential as a measure for assessing parent-reported personal utility of their children's genomic results. Additional research is needed to further validate the Parent PrU scale, including by comparing its findings with utility assessments reported by clinicians and children themselves.
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Affiliation(s)
- Erin Turbitt
- University of Technology Sydney, Ultimo, NSW, Australia.
| | | | - Kyle B Brothers
- Norton Children's Research Institute Affiliated with the University of Louisville, Louisville, KY
| | | | - Christine Rini
- Northwestern University Feinberg School of Medicine and the Robert H. Lurie Comprehensive Cancer Center of Northwestern University, Chicago, IL
| | | | - Michael C Leo
- Center for Health Research, Kaiser Permanente Northwest, Portland, OR
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14
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Rao ND, King KM, Kaganovsky J, Hassan S, Tsinajinne D, Fullerton SM, Chen AT, Veenstra DL, Shirts BH. Risk perception and intended behavior change after uninformative genetic results for adult-onset hereditary conditions in unselected patients. Eur J Hum Genet 2024; 32:77-82. [PMID: 37752309 PMCID: PMC10772064 DOI: 10.1038/s41431-023-01460-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Revised: 08/16/2023] [Accepted: 09/11/2023] [Indexed: 09/28/2023] Open
Abstract
Population genetic screening for preventable adult-onset hereditary conditions may improve disease management and morbidity but most individuals will receive uninformative results that do not indicate higher risk for disease. Investigation into subsequent psychosocial health and behaviors is necessary to inform population screening feasibility, effectiveness, and cost considerations. We conducted a prospective survey study of unselected University of Washington Medicine patients enrolled in a genetic research study screening for pathogenic variation in medically important genes. Survey questions adapted from the Feelings About genomiC Testing Results (FACToR) questionnaire and designed to understand perceived disease risk change and planned health behaviors were administered after receipt of results. Overall, 2761 people received uninformative results and 1352 (49%) completed survey items. Respondents averaged 41 years old, 62% were female, and 56% were Non-Hispanic Asian. Results from the FACToR instrument showed mean (SD) scores of 0.92 (1.34), 7.63 (3.95), 1.65 (2.23), and 0.77 (1.50) for negative emotions, positive emotions, uncertainty, and privacy concerns, respectively, suggesting minimal psychosocial harms from genetic screening. Overall, 12.2% and 9.6% of survey respondents believed that their risk of cancer or heart disease, respectively, had changed after receiving their uninformative genetic screening results. Further, 8.5% of respondents planned to make healthcare changes and 9.1% other behavior changes. Future work is needed to assess observed behavior changes attributable to uninformative screening results and if small changes in behavior among this population have large downstream impacts.
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Affiliation(s)
- Nandana D Rao
- Institute for Public Health Genetics, University of Washington, Seattle, WA, USA
| | - Kristine M King
- Institute for Public Health Genetics, University of Washington, Seattle, WA, USA
| | - Jailanie Kaganovsky
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Sajida Hassan
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Darwin Tsinajinne
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Stephanie M Fullerton
- Department of Bioethics & Humanities, University of Washington School of Medicine, Seattle, WA, USA
| | - Annie T Chen
- Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, USA
| | - David L Veenstra
- The Comparative Health Outcomes, Policy & Economics (CHOICE) Institute, Department of Pharmacy, University of Washington, Seattle, WA, USA
| | - Brian H Shirts
- Institute for Public Health Genetics, University of Washington, Seattle, WA, USA.
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA.
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15
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Cook L, Verbrugge J, Schwantes-An TH, Schulze J, Beck JC, Naito A, Hall A, Chan AK, Casaceli CJ, Marder K, Nance M, Schwarzschild MA, Simuni T, Wills AM, Alcalay RN. Providing genetic testing and genetic counseling for Parkinson's disease to the community. Genet Med 2023; 25:100907. [PMID: 37302021 DOI: 10.1016/j.gim.2023.100907] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 06/05/2023] [Accepted: 06/05/2023] [Indexed: 06/12/2023] Open
Abstract
PURPOSE To evaluate the feasibility and impact of offering genetic testing and counseling to patients with Parkinson's disease (PD), with the potential to enroll in gene-targeted clinical trials and improve clinical care. METHODS A multicenter, exploratory pilot study at 7 academic hospital sites in the United States tracked enrollment and randomized participants to receive results and genetic counseling at local sites or by genetic counselors, remotely. Follow-up surveys measured participant/provider satisfaction, knowledge, and psychological impact. RESULTS From September 5, 2019 to January 4, 2021, 620 participants were enrolled and 387 completed outcome surveys. There were no significant differences in outcomes between local and remote sites, with both arms reporting high knowledge and satisfaction scores (>80%). Notably, 16% of those tested had reportable PD gene variants (pathogenic/likely pathogenic/risk allele). CONCLUSION Local clinicians, as well as genetic counselors, with educational support as needed, can effectively return genetic results for PD as we observed favorable outcome measures in both groups. Increasing access to PD genetic testing and counseling is urgent; this can inform future efforts to integrate genetic testing and counseling into clinical care for all those with PD.
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Affiliation(s)
- Lola Cook
- Indiana University School of Medicine, Medical and Molecular Genetics, Indianapolis, IN.
| | - Jennifer Verbrugge
- Indiana University School of Medicine, Medical and Molecular Genetics, Indianapolis, IN
| | - Tae-Hwi Schwantes-An
- Indiana University School of Medicine, Medical and Molecular Genetics, Indianapolis, IN
| | - Jeanine Schulze
- Indiana University School of Medicine, Medical and Molecular Genetics, Indianapolis, IN
| | - James C Beck
- Parkinson's Foundation, Miami, FL, New York, NY; NYU Grossman School of Medicine, Neuroscience and Physiology, New York, NY
| | - Anna Naito
- Parkinson's Foundation, Miami, FL, New York, NY
| | - Anne Hall
- Parkinson's Foundation, Miami, FL, New York, NY
| | - Amanda K Chan
- Columbia University Vagelos College of Physicians and Surgeons, Neurology, New York, NY
| | | | - Karen Marder
- Columbia University Vagelos College of Physicians and Surgeons, Neurology, New York, NY
| | - Martha Nance
- Park Nicollet Struthers Parkinson's Center, Neurology, Minneapolis, MN
| | - Michael A Schwarzschild
- Massachusetts General Hospital, Department of Neurology, Boston, MA, and Harvard Medical School, Boston, MA
| | - Tanya Simuni
- Northwestern University Feinberg School of Medicine, Department of Neurology, Chicago, IL
| | - Anne-Marie Wills
- Massachusetts General Hospital, Department of Neurology, Boston, MA, and Harvard Medical School, Boston, MA
| | - Roy N Alcalay
- Columbia University Vagelos College of Physicians and Surgeons, Neurology, New York, NY; Division of Movement Disorders, Neurological Institute; Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
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16
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Bouffler SE, Lee L, Lynch F, Martyn M, Lynch E, Macciocca I, Curnow L, McCorkell G, Lunke S, Chong B, Marum JE, Delatycki M, Downie L, Goranitis I, Vears DF, Best S, Clausen M, Bombard Y, Stark Z, Gaff CL. Two-step offer and return of multiple types of additional genomic findings to families after ultrarapid trio genomic testing in the acute care setting: a study protocol. BMJ Open 2023; 13:e072999. [PMID: 37270192 DOI: 10.1136/bmjopen-2023-072999] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/05/2023] Open
Abstract
INTRODUCTION As routine genomic testing expands, so too does the opportunity to look for additional health information unrelated to the original reason for testing, termed additional findings (AF). Analysis for many different types of AF may be available, particularly to families undergoing trio genomic testing. The optimal model for service delivery remains to be determined, especially when the original test occurs in the acute care setting. METHODS AND ANALYSIS Families enrolled in a national study providing ultrarapid genomic testing to critically ill children will be offered analysis for three types of AF on their stored genomic data: paediatric-onset conditions in the child, adult-onset conditions in each parent and reproductive carrier screening for the parents as a couple. The offer will be made 3-6 months after diagnostic testing. Parents will have access to a modified version of the Genetics Adviser web-based decision support tool before attending a genetic counselling appointment to discuss consent for AF. Parental experiences will be evaluated using qualitative and quantitative methods on data collected through surveys, appointment recordings and interviews at multiple time points. Evaluation will focus on parental preferences, uptake, decision support use and understanding of AF. Genetic health professionals' perspectives on acceptability and feasibility of AF will also be captured through surveys and interviews. ETHICS AND DISSEMINATION This project received ethics approval from the Melbourne Health Human Research Ethics Committee as part of the Australian Genomics Health Alliance protocol: HREC/16/MH/251. Findings will be disseminated through peer-review journal articles and at conferences nationally and internationally.
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Affiliation(s)
| | - Ling Lee
- Melbourne Genomics Health Alliance, Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia
- Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Fiona Lynch
- Murdoch Children's Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Victoria, Australia
| | - Melissa Martyn
- Melbourne Genomics Health Alliance, Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia
- Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Elly Lynch
- Melbourne Genomics Health Alliance, Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Ivan Macciocca
- Department of Paediatrics, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Victoria, Australia
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Lisette Curnow
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Giulia McCorkell
- Australian Genomics Health Alliance, Parkville, Victoria, Australia
- Department of Paediatrics, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Victoria, Australia
| | - Sebastian Lunke
- Department of Paediatrics, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Victoria, Australia
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Belinda Chong
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Justine E Marum
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Martin Delatycki
- Department of Paediatrics, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Victoria, Australia
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Lilian Downie
- Murdoch Children's Research Institute, Parkville, Victoria, Australia
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Ilias Goranitis
- Australian Genomics Health Alliance, Parkville, Victoria, Australia
- Health Economics Unit, Centre for Health Policy, Melbourne Schoold of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Danya F Vears
- Murdoch Children's Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Victoria, Australia
| | - Stephanie Best
- Australian Genomics Health Alliance, Parkville, Victoria, Australia
- Department of Health Services Research, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Marc Clausen
- Genomics Health Services Research Program, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
| | - Yvonne Bombard
- Genomics Health Services Research Program, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Zornitza Stark
- Australian Genomics Health Alliance, Parkville, Victoria, Australia
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Clara L Gaff
- Melbourne Genomics Health Alliance, Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia
- Murdoch Children's Research Institute, Parkville, Victoria, Australia
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Hanson EN, Delacroix E, Austin S, Carr G, Kidwell KM, Bacon E, Gerido LH, Griggs JJ, Stoffel EM, Resnicow K. Psychosocial factors impacting barriers and motivators to cancer genetic testing. Cancer Med 2023; 12:9945-9955. [PMID: 36808717 PMCID: PMC10166953 DOI: 10.1002/cam4.5709] [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: 09/30/2022] [Revised: 02/03/2023] [Accepted: 02/07/2023] [Indexed: 02/22/2023] Open
Abstract
BACKGROUND Only a small proportion of patients who qualify for clinical genetic testing for cancer susceptibility get testing. Many patient-level barriers contribute to low uptake. In this study, we examined self-reported patient barriers and motivators for cancer genetic testing. METHODS A survey comprised of both new and existing measures related to barriers and motivators to genetic testing was emailed to patients with a diagnosis of cancer at a large academic medical center. Patients who self-reported receiving a genetic test were included in these analyses (n = 376). Responses about emotions following testing as well as barriers and motivators prior to getting testing were examined. Group differences in barriers and motivators by patient demographic characteristics were examined. RESULTS Being assigned female at birth was associated with increased emotional, insurance, and family concerns as well as increased health benefits compared to patients assigned male at birth. Younger respondents had significantly higher emotional and family concerns compared to older respondents. Recently diagnosed respondents expressed fewer concerns about insurance implications and emotional concerns. Those with a BRCA-related cancer had higher scores on social and interpersonal concerns scale than those with other cancers. Participants with higher depression scores indicated increased emotional, social and interpersonal, and family concerns. CONCLUSIONS Self-reported depression emerged as the most consistent factor influencing report of barriers to genetic testing. By incorporating mental health resources into clinical practice, oncologists may better identify those patients who might need more assistance following through with a referral for genetic testing and the response afterwards.
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Affiliation(s)
- Erika N. Hanson
- Department of Internal MedicineUniversity of MichiganAnn ArborMichiganUSA
| | - Emerson Delacroix
- School of Public Health, Department of Health Behavior and EducationUniversity of MichiganAnn ArborMichiganUSA
| | - Sarah Austin
- Department of Internal MedicineUniversity of MichiganAnn ArborMichiganUSA
| | - Grant Carr
- School of Public Health, Department of BiostatisticsUniversity of MichiganAnn ArborMichiganUSA
| | - Kelley M. Kidwell
- School of Public Health, Department of BiostatisticsUniversity of MichiganAnn ArborMichiganUSA
| | - Elizabeth Bacon
- Center for Health Communications Research, Rogel Cancer Center, Michigan MedicineAnn ArborMichiganUSA
| | - Lynette Hammond Gerido
- School of Public Health, Department of Health Behavior and EducationUniversity of MichiganAnn ArborMichiganUSA
| | - Jennifer J. Griggs
- Department of Medicine, Division of Hematology/OncologyUniversity of MichiganAnn ArborMichiganUSA
- School of Public Health, Department of Health Management and PolicyUniversity of MichiganAnn ArborMichiganUSA
- University of Michigan, Institute for Healthcare Policy and InnovationAnn ArborMichiganUSA
| | - Elena M. Stoffel
- Department of Internal MedicineUniversity of MichiganAnn ArborMichiganUSA
- University of Michigan, Institute for Healthcare Policy and InnovationAnn ArborMichiganUSA
| | - Ken Resnicow
- School of Public Health, Department of Health Behavior and EducationUniversity of MichiganAnn ArborMichiganUSA
- University of Michigan, Institute for Healthcare Policy and InnovationAnn ArborMichiganUSA
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18
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Sebastin M, Odgis JA, Suckiel SA, Bonini KE, Di Biase M, Brown K, Marathe P, Kelly NR, Ramos MA, Rodriguez JE, Aguiñiga KL, Lopez J, Maria E, Rodriguez MA, Yelton NM, Cunningham-Rundles C, Gallagher K, McDonald TV, McGoldrick PE, Robinson M, Rubinstein A, Shulman LH, Wolf SM, Yozawitz E, Zinberg RE, Abul-Husn NS, Bauman LJ, Diaz GA, Ferket BS, Greally JM, Jobanputra V, Gelb BD, Horowitz CR, Kenny EE, Wasserstein MP. The TeleKidSeq pilot study: incorporating telehealth into clinical care of children from diverse backgrounds undergoing whole genome sequencing. Pilot Feasibility Stud 2023; 9:47. [PMID: 36949526 PMCID: PMC10031704 DOI: 10.1186/s40814-023-01259-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 02/02/2023] [Indexed: 03/24/2023] Open
Abstract
BACKGROUND The COVID-19 pandemic forced healthcare institutions and many clinical research programs to adopt telehealth modalities in order to mitigate viral spread. With the expanded use of telehealth, there is the potential to increase access to genomic medicine to medically underserved populations, yet little is known about how best to communicate genomic results via telehealth while also ensuring equitable access. NYCKidSeq, a multi-institutional clinical genomics research program in New York City, launched the TeleKidSeq pilot study to assess alternative forms of genomic communication and telehealth service delivery models with families from medically underserved populations. METHODS We aim to enroll 496 participants between 0 and 21 years old to receive clinical genome sequencing. These individuals have a neurologic, cardiovascular, and/or immunologic disease. Participants will be English- or Spanish-speaking and predominantly from underrepresented groups who receive care in the New York metropolitan area. Prior to enrollment, participants will be randomized to either genetic counseling via videoconferencing with screen-sharing or genetic counseling via videoconferencing without screen-sharing. Using surveys administered at baseline, results disclosure, and 6-months post-results disclosure, we will evaluate the impact of the use of screen-sharing on participant understanding, satisfaction, and uptake of medical recommendations, as well as the psychological and socioeconomic implications of obtaining genome sequencing. Clinical utility, cost, and diagnostic yield of genome sequencing will also be assessed. DISCUSSION The TeleKidSeq pilot study will contribute to innovations in communicating genomic test results to diverse populations through telehealth technology. In conjunction with NYCKidSeq, this work will inform best practices for the implementation of genomic medicine in diverse, English- and Spanish-speaking populations.
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Affiliation(s)
- Monisha Sebastin
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, 3411 Wayne Ave, 9th Floor, Bronx, NY, 10467, USA
| | - Jacqueline A Odgis
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sabrina A Suckiel
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Katherine E Bonini
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Miranda Di Biase
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, 3411 Wayne Ave, 9th Floor, Bronx, NY, 10467, USA
| | - Kaitlyn Brown
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, 3411 Wayne Ave, 9th Floor, Bronx, NY, 10467, USA
| | - Priya Marathe
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Nicole R Kelly
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, 3411 Wayne Ave, 9th Floor, Bronx, NY, 10467, USA
| | - Michelle A Ramos
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jessica E Rodriguez
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Karla López Aguiñiga
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jessenia Lopez
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, 3411 Wayne Ave, 9th Floor, Bronx, NY, 10467, USA
| | - Estefany Maria
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, 3411 Wayne Ave, 9th Floor, Bronx, NY, 10467, USA
| | - Michelle A Rodriguez
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Nicole M Yelton
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Charlotte Cunningham-Rundles
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Katie Gallagher
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, 3411 Wayne Ave, 9th Floor, Bronx, NY, 10467, USA
| | - Thomas V McDonald
- Department of Medicine (Cardiology), Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Patricia E McGoldrick
- Department of Pediatrics, Division of Child Neurology, New York Medical College, Valhalla, NY, USA
- Pediatric Neurology, Boston Children's Health Physicians/Maria Fareri Children's Hospital, Hawthorne, NY, USA
| | | | - Arye Rubinstein
- Department of Allergy and Immunology, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Lisa H Shulman
- Department of Pediatrics, Division of Developmental Medicine, Rose F. Kennedy Children's Evaluation & Rehabilitation Center at Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Steven M Wolf
- Department of Pediatrics, Division of Child Neurology, New York Medical College, Valhalla, NY, USA
- Pediatric Neurology, Boston Children's Health Physicians/Maria Fareri Children's Hospital, Hawthorne, NY, USA
| | - Elissa Yozawitz
- Isabelle Rapin Division of Child Neurology of the Saul R Korey Department of Neurology at Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Pediatrics, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Randi E Zinberg
- Department of Genetics and Genomic Sciences , Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Obstetrics, Gynecology and Reproductive Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Noura S Abul-Husn
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences , Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Laurie J Bauman
- Department of Pediatrics, Division of Ambulatory Pediatrics, Albert Einstein College of Medicine, Bronx, NY, USA
| | - George A Diaz
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences , Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Bart S Ferket
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - John M Greally
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, 3411 Wayne Ave, 9th Floor, Bronx, NY, 10467, USA
| | - Vaidehi Jobanputra
- Molecular Diagnostics, New York Genome Center, New York, NY, USA
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY, USA
| | - Bruce D Gelb
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences , Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Carol R Horowitz
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Eimear E Kenny
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences , Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Melissa P Wasserstein
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, 3411 Wayne Ave, 9th Floor, Bronx, NY, 10467, USA.
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19
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Turbitt E, Kohler JN, Angelo F, Miller IM, Lewis KL, Goddard KAB, Wilfond BS, Biesecker BB, Leo MC. The PrU: Development and validation of a measure to assess personal utility of genomic results. Genet Med 2023; 25:100356. [PMID: 36516964 DOI: 10.1016/j.gim.2022.12.003] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 12/06/2022] [Accepted: 12/07/2022] [Indexed: 12/14/2022] Open
Abstract
PURPOSE People report experiencing value from learning genomic results even in the absence of clinically actionable information. Such personal utility has emerged as a key concept in genomic medicine. The lack of a validated patient-reported outcome measure of personal utility has impeded the ability to assess this concept among those receiving genomic results and evaluate the patient-perceived value of genomics. We aimed to construct and psychometrically evaluate a scale to measure personal utility of genomic results-the Personal Utility (PrU) scale. METHODS We used an evidence-based, operational definition of personal utility, with data from a systematic literature review and Delphi survey to build a novel scale. After piloting with 24 adults, the PrU was administered to healthy adults in a Clinical Sequencing Evidence-Generating Research Consortium study after receiving results. We investigated the responses using exploratory factor analysis. RESULTS The exploratory factor analysis (N = 841 participants) resulted in a 3-factor solution, accounting for 74% of the variance in items: (1) self-knowledge (α = 0.92), (2) reproductive planning (α = 0.89), and (3) practical benefits (α = 0.91). CONCLUSION Our findings support the use of the 3-factor PrU to assess personal utility of genomic results. Validation of the PrU in other samples will be important for more wide-spread application.
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Affiliation(s)
- Erin Turbitt
- Graduate School of Health, University of Technology Sydney, Ultimo, New South Wales, Australia.
| | - Jennefer N Kohler
- Stanford Center for Undiagnosed Diseases, Standard University, Stanford, CA
| | - Frank Angelo
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Ilana M Miller
- Rare Disease Institute, Children's National Hospital, Washington, DC
| | - Katie L Lewis
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD
| | | | - Benjamin S Wilfond
- Treuman Katz Center for Pediatric Bioethics, Seattle Children's Hospital, Seattle, WA
| | - Barbara B Biesecker
- Genomics, Ethics, and Translational Research Program, RTI International, Washington, DC
| | - Michael C Leo
- Center for Health Research, Kaiser Permanente Northwest, Portland, OR
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20
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Wallingford CK, Kovilpillai H, Jacobs C, Turbitt E, Primiero CA, Young MA, Brockman DG, Soyer HP, McInerney-Leo AM, Yanes T. Models of communication for polygenic scores and associated psychosocial and behavioral effects on recipients: A systematic review. Genet Med 2023; 25:1-11. [PMID: 36322150 DOI: 10.1016/j.gim.2022.09.008] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 09/14/2022] [Accepted: 09/17/2022] [Indexed: 11/13/2022] Open
Abstract
PURPOSE This study aimed to systematically review current models for communicating polygenic scores (PGS) and psycho-behavioral outcomes of receiving PGSs. METHODS Original research on communicating PGSs and reporting on psycho-behavioral outcomes was included. Search terms were applied to 5 databases and were limited by date (2009-2021). RESULTS In total, 28 articles, representing 17 studies in several disease settings were identified. There was limited consistency in PGS communication and evaluation/reporting of outcomes. Most studies (n = 14) presented risk in multiple ways (ie, numerically, verbally, and/or visually). Three studies provided personalized lifestyle advice and additional resources. Only 1 of 17 studies reported using behavior change theory to inform their PGS intervention. A total of 8 studies found no evidence of long-term negative psychosocial effects up to 12 months post result. Of 14 studies reporting on behavior, 9 found at least 1 favorable change after PGS receipt. When stratified by risk, 7 out of 9 studies found high PGS was associated with favorable changes including lifestyle, medication, and screening. Low-risk PGS was not associated with maladaptive behaviors (n = 4). CONCLUSION PGS has the potential to benefit health behavior. High variability among studies emphasizes the need for developing standardized guidelines for communicating PGSs and evaluating psycho-behavioral outcomes. Our findings call for development of best communication practices and evidence-based interventions informed by behavior change theories.
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Affiliation(s)
- Courtney K Wallingford
- Dermatology Research Centre, The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, Queensland, Australia
| | - Hannah Kovilpillai
- Graduate School of Health, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Chris Jacobs
- Graduate School of Health, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Erin Turbitt
- Graduate School of Health, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Clare A Primiero
- Dermatology Research Centre, The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, Queensland, Australia
| | - Mary-Anne Young
- Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia; St Vincent's Clinical School, University of New South Wales, Sydney, New South Wales, Australia
| | | | - H Peter Soyer
- Dermatology Research Centre, The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, Queensland, Australia; Dermatology Department, The Princess Alexandra Hospital, Brisbane, Queensland, Australia
| | - Aideen M McInerney-Leo
- Dermatology Research Centre, The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, Queensland, Australia
| | - Tatiane Yanes
- Dermatology Research Centre, The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, Queensland, Australia.
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21
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Shickh S, Hirjikaka D, Clausen M, Kodida R, Mighton C, Reble E, Sam J, Panchal S, Aronson M, Graham T, Armel SR, Glogowski E, Elser C, Eisen A, Carroll JC, Shuman C, Seto E, Baxter NN, Scheer A, Shastri-Estrada S, Feldman G, Thorpe KE, Schrader KA, Lerner-Ellis J, Kim RH, Faghfoury H, Bombard Y. Genetics Adviser: a protocol for a mixed-methods randomised controlled trial evaluating a digital platform for genetics service delivery. BMJ Open 2022; 12:e060899. [PMID: 35487723 PMCID: PMC9058789 DOI: 10.1136/bmjopen-2022-060899] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
INTRODUCTION The high demand for genetic tests and limited supply of genetics professionals has created a need for alternative service delivery models. Digital tools are increasingly being used to support multiple points in the genetic testing journey; however, none are transferable across multiple clinical specialties and settings nor do they encompass the entire trajectory of the journey. We aim to evaluate the effectiveness of the Genetics Adviser, an interactive, patient-facing, online digital health tool that delivers pre-test counselling, provides support during the waiting period for results, and returns results with post-test counselling, encompassing the entire patient genetic testing journey. METHODS AND ANALYSIS We will compare the Genetics Adviser paired with a brief genetic counselling session to genetic counselling alone in a randomised controlled trial. One hundred and forty patients who previously received uninformative genetic test results for their personal and family history of cancer will be recruited from familial cancer clinics in Toronto and offered all clinically significant results from genomic sequencing. Participants randomised into the intervention arm will use the Genetics Adviser to learn about genomic sequencing, receive pre-test counselling, support during the waiting period and results, supplemented with brief counselling from a genetic counsellor. Participants in the control arm will receive standard pre-test and post-test counselling for genomic sequencing from a genetic counsellor. Our primary outcome is decisional conflict following pre-test counselling from the Genetics Adviser+genetic counsellor or counsellor alone. Secondary outcomes include: knowledge, satisfaction with decision-making, anxiety, quality of life, psychological impact of results, empowerment, acceptability and economic impact for patients and the health system. A subset of patients will be interviewed to assess user experience. ETHICS AND DISSEMINATION This study has been approved by Clinical Trials Ontario Streamlined Research Ethics Review System (REB#20-035). Results will be shared through stakeholder workshops, national and international conferences and peer-reviewed journals. TRIAL REGISTRATION NUMBER NCT04725565.
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Affiliation(s)
- Salma Shickh
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
| | - Daena Hirjikaka
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
| | - Marc Clausen
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
| | - Rita Kodida
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
| | - Chloe Mighton
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
| | - Emma Reble
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
| | - Jordan Sam
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
| | - Seema Panchal
- Marvelle Koffler Breast Centre, Mount Sinai Hospital, Sinai Health System, Toronto, Ontario, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
| | - Melyssa Aronson
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
- Zane Cohen Centre, Mount Sinai Hospital, Sinai Health System, Toronto, Ontario, Canada
- The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Tracy Graham
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
- Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Susan Randall Armel
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
- Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | | | - Christine Elser
- Marvelle Koffler Breast Centre, Mount Sinai Hospital, Sinai Health System, Toronto, Ontario, Canada
- University Health Network, Toronto, Ontario, Canada
- Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Andrea Eisen
- Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - June C Carroll
- Ray D Wolfe Department of Family Medicine, Mount Sinai Hospital, Sinai Health System, Toronto, Ontario, Canada
- Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Cheryl Shuman
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
| | - Emily Seto
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Centre for Global eHealth Innovation, Techna Institute, University Health Network, Toronto, Ontario, Canada
| | - Nancy N Baxter
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Adena Scheer
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| | | | - Geoff Feldman
- Ontario Disability Coalition, Toronto, Ontario, Canada
| | - Kevin E Thorpe
- Applied Health Research Centre (AHRC), Li Ka Shing Knowledge Institute of St Michael's Hospital, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Kasmintan A Schrader
- BC Cancer, Vancouver, British Columbia, Canada
- Department of Medical Genetics, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Jordan Lerner-Ellis
- Pathology and Laboratory Medicine, Mount Sinai Hospital, Sinai Health System, Toronto, Ontario, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
- Lunenfeld Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
| | - Raymond H Kim
- The Hospital for Sick Children, Toronto, Ontario, Canada
- University Health Network, Toronto, Ontario, Canada
- Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Hanna Faghfoury
- Fred A Litwin and Family Centre in Genetic Medicine, University Health Network, Toronto, Ontario, Canada
| | - Yvonne Bombard
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
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22
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Peck L, Borle K, Folkersen L, Austin J. Why do people seek out polygenic risk scores for complex disorders, and how do they understand and react to results? Eur J Hum Genet 2022; 30:81-87. [PMID: 34276054 PMCID: PMC8738734 DOI: 10.1038/s41431-021-00929-3] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Revised: 05/18/2021] [Accepted: 06/17/2021] [Indexed: 01/03/2023] Open
Abstract
We sought to explore individuals' motivations for using their direct-to-consumer genetic testing data to generate polygenic risk scores (PRSs) using a not-for-profit third-party tool, and to assess understanding of, and reaction to their results. Using a cross-sectional design, users of Impute.me who had already accessed PRS results were invited to complete an online questionnaire asking about demographics, motivations for seeking PRSs, understanding and interpretation of PRSs, and two validated scales regarding reactions to results-the Impact of Event Scale Revised (IES-R) and the Feelings About genomiC Testing Results (FACToR). Independent samples T-tests and ANOVA were used to explore associations between the variables. 227 individuals participated in the study. The most frequently reported motivation was general curiosity (98.2%). Only 25.6% of participants correctly answered all questions assessing understanding/interpretation of PRSs. Over half of participants (60.8%) experienced a negative reaction (upset, anxious, and/or sad on FACToR scale) after receiving their PRSs and 5.3% scored over the threshold for potential post-traumatic stress disorder on the IES-R. Lower understanding about PRS was associated with experiencing a negative psychological reaction (P values <0.001). Higher quality pre-test information, particularly to improve understanding, and manage expectations for PRS may be useful in limiting negative psychological reactions.
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Affiliation(s)
- Larissa Peck
- grid.17091.3e0000 0001 2288 9830Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia Canada ,grid.412745.10000 0000 9132 1600London Health Sciences Centre, London, Ontario Canada
| | - Kennedy Borle
- grid.17091.3e0000 0001 2288 9830Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia Canada
| | - Lasse Folkersen
- Institute of Biological Psychiatry, Mental Health Centre Sankt Hans, Copenhagen, Denmark
| | - Jehannine Austin
- grid.17091.3e0000 0001 2288 9830Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia Canada ,grid.17091.3e0000 0001 2288 9830Department of Psychiatry, University of British Columbia, Vancouver, British Columbia Canada
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23
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Lewis C, Buchanan J, Clarke A, Clement E, Friedrich B, Hastings-Ward J, Hill M, Horn R, Lucassen AM, Patch C, Pickard A, Roberts L, Sanderson SC, Wynn SL, Vindrola-Padros C, Lakhanpaul M. Mixed-methods evaluation of the NHS Genomic Medicine Service for paediatric rare diseases: study protocol. NIHR OPEN RESEARCH 2021; 1:23. [PMID: 35098132 PMCID: PMC7612282 DOI: 10.3310/nihropenres.13236.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 11/09/2021] [Indexed: 11/22/2022]
Abstract
Background A new nationally commissioned NHS England Genomic Medicine Service (GMS) was recently established to deliver genomic testing with equity of access for patients affected by rare diseases and cancer. The overarching aim of this research is to evaluate the implementation of the GMS during its early years, identify barriers and enablers to successful implementation, and provide recommendations for practice. The focus will be on the use of genomic testing for paediatric rare diseases. Methods This will be a four-year mixed-methods research programme using clinic observations, interviews and surveys. Study 1 consists of qualitative interviews with designers/implementers of the GMS in Year 1 of the research programme, along with documentary analysis to understand the intended outcomes for the Service. These will be revisited in Year 4 to compare intended outcomes with what happened in practice, and to identify barriers and facilitators that were encountered along the way. Study 2 consists of clinic observations (pre-test counselling and results disclosure) to examine the interaction between health professionals and parents, along with follow-up interviews with both after each observation. Study 3 consists of a longitudinal survey with parents at two timepoints (time of testing and 12 months post-results) along with follow-up interviews, to examine parent-reported experiences and outcomes. Study 4 consists of qualitative interviews and a cross-sectional survey with medical specialists to identify preparedness, facilitators and challenges to mainstreaming genomic testing. The use of theory-based and pre-specified constructs will help generalise the findings and enable integration across the various sub-studies. Dissemination We will disseminate our results to policymakers as findings emerge, so any suggested changes to service provision can be considered in a timely manner. A workshop with key stakeholders will be held in Year 4 to develop and agree a set of recommendations for practice.
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Affiliation(s)
- Celine Lewis
- Population, Policy and Practice, UCL GOS Institute of Child Health, London, UK
- London North Genomic Laboratory Hub, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - James Buchanan
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford,, Oxford, UK
- NIHR Oxford Biomedical Research Centre, Oxford, UK
| | - Angus Clarke
- Division of Cancer and Genetics, Cardiff University School of Medicine, Cardiff, UK
| | - Emma Clement
- Clinical Genetics and Genomic Medicine, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Bettina Friedrich
- Population, Policy and Practice, UCL GOS Institute of Child Health, London, UK
| | | | - Melissa Hill
- London North Genomic Laboratory Hub, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
- Genetics and Genomic Medicine, UCL GOS Institute of Child Health, London, UK
| | - Ruth Horn
- The Ethox Centre and the Wellcome Centre for Ethics and Humanities, Department of Population Health, University of Oxford, Oxford, UK
| | - Anneke M. Lucassen
- Clinical Ethics and Law, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Chris Patch
- Genomics England, Queen Mary University of London, London, UK
- Counselling, Society and Ethics Research, Wellcome Genome Campus, Cambridge, UK
| | | | | | | | - Sarah L. Wynn
- Unique – the Rare Chromosome Disorder Support Group, Oxted, UK
| | - Cecilia Vindrola-Padros
- Department of Targeted Intervention and Rapid Research Evaluation and Appraisal Lab (RREAL),, University College London, London, UK
| | - Monica Lakhanpaul
- Population, Policy and Practice, UCL GOS Institute of Child Health, London, UK
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The Clinician-reported Genetic testing Utility InDEx (C-GUIDE): Preliminary evidence of validity and reliability. Genet Med 2021; 24:430-438. [PMID: 34906486 DOI: 10.1016/j.gim.2021.10.005] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Revised: 08/25/2021] [Accepted: 10/06/2021] [Indexed: 12/15/2022] Open
Abstract
PURPOSE Demonstrating the clinical utility of genetic testing is fundamental to clinical adoption and reimbursement, but standardized definitions and measurement strategies for this construct do not exist. The Clinician-reported Genetic testing Utility InDEx (C-GUIDE) offers a novel measure to fill this gap. This study assessed its validity and inter-rater reliability. METHODS Genetics professionals completed C-GUIDE after disclosure of test results to patients. Construct validity was assessed using regression analysis to measure associations between C-GUIDE and global item scores as well as potentially explanatory variables. Inter-rater reliability was assessed by administering a vignette-based survey to genetics professionals and calculating Krippendorff's α. RESULTS On average, a 1-point increase in the global item score was associated with an increase of 3.0 in the C-GUIDE score (P < .001). Compared with diagnostic results, partially/potentially diagnostic and nondiagnostic results were associated with a reduction in C-GUIDE score of 9.5 (P < .001) and 10.2 (P < .001), respectively. Across 19 vignettes, Krippendorff's α was 0.68 (95% CI: 0.63-0.72). CONCLUSION C-GUIDE showed acceptable validity and inter-rater reliability. Although further evaluation is required, C-GUIDE version 1.2 can be useful as a standardized approach to assess the clinical utility of genetic testing.
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Smith HS, Brothers KB, Knight SJ, Ackerman SL, Rini C, Veenstra DL, McGuire AL, Wilfond BS, Malek J. Conceptualization of utility in translational clinical genomics research. Am J Hum Genet 2021; 108:2027-2036. [PMID: 34687653 PMCID: PMC8595895 DOI: 10.1016/j.ajhg.2021.08.013] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Prior to integration into clinical care, a novel medical innovation is typically assessed in terms of its balance of benefits and risks, often referred to as utility. Members of multidisciplinary research teams may conceptualize and assess utility in different ways, which has implications within the translational genomics community and for the evidence base upon which clinical guidelines groups and healthcare payers make decisions. Ambiguity in the conceptualization of utility in translational genomics research can lead to communication challenges within research teams and to study designs that do not meet stakeholder needs. We seek to address the ambiguity challenge by describing the conceptual understanding of utility and use of the term by scholars in the fields of philosophy, medicine, and the social sciences of decision psychology and health economics. We illustrate applications of each field's orientation to translational genomics research by using examples from the Clinical Sequencing Evidence-Generating Research (CSER) consortium, and we provide recommendations for increasing clarity and cohesion in future research. Given that different understandings of utility will align to a greater or lesser degree with important stakeholders' views, more precise use of the term can help researchers to better integrate multidisciplinary investigations and communicate with stakeholders.
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Affiliation(s)
- Hadley Stevens Smith
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX 77030, USA.
| | - Kyle B Brothers
- Department of Pediatrics, University of Louisville School of Medicine, Louisville, KY 40202, USA
| | - Sara J Knight
- Division of Epidemiology, Department of Internal Medicine, University of Utah, Salt Lake City, UT 84108, USA
| | - Sara L Ackerman
- Department of Social and Behavioral Sciences, University of California, San Francisco, San Francisco, CA 94108, USA
| | - Christine Rini
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA; Robert H. Lurie Comprehensive Cancer Center of Northwestern University, Chicago, IL 60611, USA
| | - David L Veenstra
- Comparative Health Outcomes, Policy & Economics Institute, University of Washington School of Pharmacy, Seattle, WA 98195, USA
| | - Amy L McGuire
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX 77030, USA
| | - Benjamin S Wilfond
- Treuman Katz Center for Pediatric Bioethics, Seattle Children's Research Institute and Hospital, Seattle, WA 98105, USA; Division of Bioethics and Palliative Care, Department of Pediatrics, University of Washington School of Medicine, Seattle, WA 98105, USA
| | - Janet Malek
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX 77030, USA
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Taher J, Mighton C, Chowdhary S, Casalino S, Frangione E, Arnoldo S, Bearss E, Binnie A, Bombard Y, Borgundvaag B, Chertkow H, Clausen M, Devine L, Faghfoury H, Friedman SM, Gingras AC, Khan Z, Mazzulli T, McGeer A, McLeod SL, Pugh TJ, Richardson D, Simpson J, Stern S, Strug L, Taher A, Lerner-Ellis J. Implementation of serological and molecular tools to inform COVID-19 patient management: protocol for the GENCOV prospective cohort study. BMJ Open 2021; 11:e052842. [PMID: 34593505 PMCID: PMC8487020 DOI: 10.1136/bmjopen-2021-052842] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
INTRODUCTION There is considerable variability in symptoms and severity of COVID-19 among patients infected by the SARS-CoV-2 virus. Linking host and virus genome sequence information to antibody response and biological information may identify patient or viral characteristics associated with poor and favourable outcomes. This study aims to (1) identify characteristics of the antibody response that result in maintained immune response and better outcomes, (2) determine the impact of genetic differences on infection severity and immune response, (3) determine the impact of viral lineage on antibody response and patient outcomes and (4) evaluate patient-reported outcomes of receiving host genome, antibody and viral lineage results. METHODS AND ANALYSIS A prospective, observational cohort study is being conducted among adult patients with COVID-19 in the Greater Toronto Area. Blood samples are collected at baseline (during infection) and 1, 6 and 12 months after diagnosis. Serial antibody titres, isotype, antigen target and viral neutralisation will be assessed. Clinical data will be collected from chart reviews and patient surveys. Host genomes and T-cell and B-cell receptors will be sequenced. Viral genomes will be sequenced to identify viral lineage. Regression models will be used to test associations between antibody response, physiological response, genetic markers and patient outcomes. Pathogenic genomic variants related to disease severity, or negative outcomes will be identified and genome wide association will be conducted. Immune repertoire diversity during infection will be correlated with severity of COVID-19 symptoms and human leucocyte antigen-type associated with SARS-CoV-2 infection. Participants can learn their genome sequencing, antibody and viral sequencing results; patient-reported outcomes of receiving this information will be assessed through surveys and qualitative interviews. ETHICS AND DISSEMINATION This study was approved by Clinical Trials Ontario Streamlined Ethics Review System (CTO Project ID: 3302) and the research ethics boards at participating hospitals. Study findings will be disseminated through peer-reviewed publications, conference presentations and end-users.
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Affiliation(s)
- Jennifer Taher
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
- Pathology and Laboratory Medicine, Mount Sinai Hospital, Sinai Health, Toronto, Ontario, Canada
| | - Chloe Mighton
- Pathology and Laboratory Medicine, Mount Sinai Hospital, Sinai Health, Toronto, Ontario, Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Sunakshi Chowdhary
- Pathology and Laboratory Medicine, Mount Sinai Hospital, Sinai Health, Toronto, Ontario, Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, Ontario, Canada
| | - Selina Casalino
- Pathology and Laboratory Medicine, Mount Sinai Hospital, Sinai Health, Toronto, Ontario, Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, Ontario, Canada
| | - Erika Frangione
- Pathology and Laboratory Medicine, Mount Sinai Hospital, Sinai Health, Toronto, Ontario, Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, Ontario, Canada
| | - Saranya Arnoldo
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
- William Osler Health System, Brampton, Ontario, Canada
| | - Erin Bearss
- Mount Sinai Academic Family Health Team, Mount Sinai Hospital, Sinai Health, Toronto, Ontario, Canada
- Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada
| | | | - Yvonne Bombard
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Bjug Borgundvaag
- Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada
- Department of Emergency Medicine, Mount Sinai Hospital, Sinai Health, Toronto, Ontario, Canada
| | | | - Marc Clausen
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
| | - Luke Devine
- Division of General Internal Medicine, Mount Sinai Hospital, Sinai Health, Toronto, Ontario, Canada
- Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Hanna Faghfoury
- Fred A Litwin and Family Centre in Genetic Medicine, University Health Network & Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Steven Marc Friedman
- Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada
- Emergency Medicine, University Health Network, Toronto, Ontario, Canada
| | - Anne-Claude Gingras
- Pathology and Laboratory Medicine, Mount Sinai Hospital, Sinai Health, Toronto, Ontario, Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, Ontario, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
| | - Zeeshan Khan
- Mackenzie Health, Richmond Hill, Ontario, Canada
| | - Tony Mazzulli
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
- Department of Microbiology, Mount Sinai Hospital, Sinai Health, Toronto, Ontario, Canada
| | - Allison McGeer
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, Ontario, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Department of Microbiology, Mount Sinai Hospital, Sinai Health, Toronto, Ontario, Canada
| | - Shelley L McLeod
- Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada
- Schwartz/Reisman Emergency Medicine Institute, Sinai Health System, Toronto, Ontario, Canada
| | - Trevor J Pugh
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | | | - Jared Simpson
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
- Department of Computer Science, University of Toronto, Toronto, Ontario, Canada
| | - Seth Stern
- Mackenzie Health, Richmond Hill, Ontario, Canada
| | - Lisa Strug
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Statistical Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Ahmed Taher
- Emergency Medicine, University Health Network, Toronto, Ontario, Canada
- Mackenzie Health, Richmond Hill, Ontario, Canada
- Division of Emergency Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Jordan Lerner-Ellis
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
- Pathology and Laboratory Medicine, Mount Sinai Hospital, Sinai Health, Toronto, Ontario, Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, Ontario, Canada
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Lindberg NM, Gutierrez AM, Mittendorf KF, Ramos MA, Anguiano B, Angelo F, Joseph G. Creating accessible Spanish language materials for Clinical Sequencing Evidence-Generating Research consortium genomic projects: challenges and lessons learned. Per Med 2021; 18:441-454. [PMID: 34448595 PMCID: PMC8438935 DOI: 10.2217/pme-2020-0075] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Accepted: 05/26/2021] [Indexed: 01/31/2023]
Abstract
Aim: To increase Spanish speakers' representation in genomics research, accessible study materials on genetic topics must be made available in Spanish. Materials & methods: The Clinical Sequencing Evidence-Generating Research consortium is evaluating genome sequencing for underserved populations. All sites needed Spanish translation of recruitment materials, surveys and return of results. Results: We describe our process for translating site-specific materials, as well as shared measures across sites, to inform future efforts to engage Spanish speakers in research. Conclusion: In translating and adapting study materials for roughly 1000 Spanish speakers across the USA, and harmonizing translated measures across diverse sites, we overcame numerous challenges. Translation should be performed by professionals. Studies must allocate sufficient time, effort and budget to translate and adapt participant materials.
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Affiliation(s)
- Nangel M Lindberg
- Kaiser Permanente Northwest Center for Health Research, 3800 N. Interstate Ave, Portland, OR 97227, USA
| | - Amanda M Gutierrez
- Baylor College of Medicine Center for Medical Ethics & Health Policy, One Baylor Plaza, Suite 310D, Houston, TX 77030, USA
| | - Kathleen F Mittendorf
- Kaiser Permanente Northwest Center for Health Research, 3800 N. Interstate Ave, Portland, OR 97227, USA
| | - Michelle A Ramos
- Department of Population Health Science & Policy Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1077, New York, NY 10029, USA
| | - Beatriz Anguiano
- University of California, San Francisco (UCSF) Program in Bioethics, 3333 California Ave (suite 340), San Francisco, CA 94606, USA
| | - Frank Angelo
- CSER Coordinating Center, University of Washington, Division of Medical Genetics, Health Sciences Building, K-253 Box 357720 Seattle, WA 98195, USA
| | - Galen Joseph
- University of California San Francisco Department of Humanities & Social Sciences, 1450 3rd Street, Rm. 551 San Francisco, CA 94143, USA
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Christensen KD, Schonman EF, Robinson JO, Roberts JS, Diamond PM, Lee KB, Green RC, McGuire AL. Behavioral and psychological impact of genome sequencing: a pilot randomized trial of primary care and cardiology patients. NPJ Genom Med 2021; 6:72. [PMID: 34429410 PMCID: PMC8384838 DOI: 10.1038/s41525-021-00236-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Accepted: 07/30/2021] [Indexed: 12/20/2022] Open
Abstract
Many expect genome sequencing (GS) to become routine in patient care and preventive medicine, but uncertainties remain about its ability to motivate participants to improve health behaviors and the psychological impact of disclosing results. In a pilot trial with exploratory analyses, we randomized 100 apparently healthy, primary-care participants and 100 cardiology participants to receive a review of their family histories of disease, either alone or in addition to GS analyses. GS results included polygenic risk information for eight cardiometabolic conditions. Overall, no differences were observed between the percentage of participants in the GS and control arms, who reported changes to health behaviors such as diet and exercise at 6 months post disclosure (48% vs. 36%, respectively, p = 0.104). In the GS arm, however, the odds of reporting a behavior change increased by 52% per high-risk polygenic prediction (p = 0.032). Mean anxiety and depression scores for GS and control arms had confidence intervals within equivalence margins of ±1.5. Mediation analyses suggested an indirect impact of GS on health behaviors by causing positive psychological responses (p ≤ 0.001). Findings suggest that GS did not distress participants. Future research on GS in more diverse populations is needed to confirm that it does not raise risks for psychological harms and to confirm the ability of polygenic risk predictions to motivate preventive behaviors.
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Affiliation(s)
- Kurt D Christensen
- PRecisiOn Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA, USA. .,Department of Population Medicine, Harvard Medical School, Boston, MA, USA. .,Broad Institute of Harvard and MIT, Cambridge, MA, USA.
| | - Erica F Schonman
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Jill O Robinson
- Center for Medical Ethics and Health Policy at Baylor College of Medicine, Houston, TX, USA
| | - J Scott Roberts
- Department of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Pamela M Diamond
- Center for Health Promotion and Prevention Research, University of Texas Houston School of Public Health, Houston, TX, USA
| | - Kaitlyn B Lee
- Center for Medical Ethics and Health Policy at Baylor College of Medicine, Houston, TX, USA
| | - Robert C Green
- Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.,Partners Personalized Medicine, Boston, MA, USA.,Department of Medicine, Harvard Medical School, Boston, MA, USA.,Ariadne Labs, Boston, MA, USA
| | - Amy L McGuire
- Center for Medical Ethics and Health Policy at Baylor College of Medicine, Houston, TX, USA
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Lemke AA, Amendola LM, Thompson J, Dunnenberger HM, Kuchta K, Wang C, Dilzell-Yu K, Hulick PJ. Patient-Reported Outcomes and Experiences with Population Genetic Testing Offered Through a Primary Care Network. Genet Test Mol Biomarkers 2021; 25:152-160. [PMID: 33596141 PMCID: PMC7891215 DOI: 10.1089/gtmb.2020.0275] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Aims: To explore patient experiences in a large-scale primary care-based, preemptive genetic testing program. Methods: Patients who received genetic results from the initiative were invited to participate in an online survey 3 weeks postresult disclosure. A 6-month follow-up survey was sent to assess changes over time. Results: The initial survey was completed by 1646 patients, with 544 completing the 6-month follow-up survey. The following outcomes were high overall: patient-reported understanding of results (cancer: 87%; cardiac: 86%); perceived utility (75%); positive emotions (relieved: 66.8%; happy: 62.0%); family result sharing (67.6%); and satisfaction (87%), although analysis by demographic factors identified groups who may benefit from additional education and emotional support. Results-related health behaviors and discussions with providers increased over time (screening procedures 6.1% to 14.2% p < 0.001; provider discussion 10.3% to 25.3%, p < 0.001), and were more likely to take place for patients with positive cancer and/or cardiac results (39.8% vs. 7.6%, p < 0.001). Forty-seven percent of patients reported insurance discrimination concerns, and most (79.4%) were not familiar with privacy and nondiscrimination laws. Concerns regarding discrimination and negative emotions decreased between the two survey time points (privacy issues 44.6% to 35.1% p < 0.001; life insurance discrimination concerns 35.5% to 29.6%, p = 0.001; anxiety 8.1% to 3.3%, p < 0.001; and uncertainty 19.8% to 12.8%, p < 0.001). These findings led to the development and integration of additional patient resources to improve program implementation. Conclusion: Our findings highlight patient experiences with and areas of need in a community-based genomic screening pilot initiative using a mixed primary care/genetics provider model to deliver precision medicine.
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Affiliation(s)
- Amy A Lemke
- Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, Illinois, USA
| | - Laura M Amendola
- Division of Medical Genetics, University of Washington, Seattle, Washington, USA
| | - Jennifer Thompson
- Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, Illinois, USA
| | - Henry M Dunnenberger
- Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, Illinois, USA
| | - Kristine Kuchta
- Center for Biomedical Research Informatics, NorthShore University HealthSystem, Evanston, Illinois, USA
| | - Chi Wang
- Center for Biomedical Research Informatics, NorthShore University HealthSystem, Evanston, Illinois, USA
| | - Kristen Dilzell-Yu
- Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, Illinois, USA
| | - Peter J Hulick
- Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, Illinois, USA
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30
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Mittendorf KF, Kauffman TL, Amendola LM, Anderson KP, Biesecker BB, Dorschner MO, Duenas DM, Eubanks DJ, Feigelson HS, Gilmore MJ, Hunter JE, Joseph G, Kraft SA, Lee SSJ, Leo MC, Liles EG, Lindberg NM, Muessig KR, Okuyama S, Porter KM, Riddle LS, Rolf BA, Rope AF, Zepp JM, Jarvik GP, Wilfond BS, Goddard KAB. Cancer Health Assessments Reaching Many (CHARM): A clinical trial assessing a multimodal cancer genetics services delivery program and its impact on diverse populations. Contemp Clin Trials 2021; 106:106432. [PMID: 33984519 PMCID: PMC8336568 DOI: 10.1016/j.cct.2021.106432] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 05/06/2021] [Accepted: 05/07/2021] [Indexed: 12/11/2022]
Abstract
Advances in the application of genomic technologies in clinical care have the potential to increase existing healthcare disparities. Studies have consistently shown that only a fraction of eligible patients with a family history of cancer receive recommended cancer genetic counseling and subsequent genetic testing. Care delivery models using pre-test and post-test counseling are not scalable, which contributes to barriers in accessing genetics services. These barriers are even more pronounced for patients in historically underserved populations. We have designed a multimodal intervention to improve subsequent cancer surveillance, by improving the identification of patients at risk for familial cancer syndromes, reducing barriers to genetic counseling/testing, and increasing patient understanding of complex genetic results. We are evaluating this intervention in two large, integrated healthcare systems that serve diverse patient populations (NCT03426878). The primary outcome is the number of diagnostic (hereditary cancer syndrome) findings. We are examining the clinical and personal utility of streamlined pathways to genetic testing using electronic medical record data, surveys, and qualitative interviews. We will assess downstream care utilization of individuals receiving usual clinical care vs. genetic testing through the study. We will evaluate the impacts of a literacy-focused genetic counseling approach versus usual care genetic counseling on care utilization and participant understanding, satisfaction, and family communication. By recruiting participants belonging to historically underserved populations, this study is uniquely positioned to evaluate the potential of a novel genetics care delivery program to reduce care disparities.
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Affiliation(s)
- Kathleen F Mittendorf
- Department of Translational and Applied Genomics, Center for Health Research, Kaiser Permanente Northwest, 3800 N. Interstate Ave, Portland, OR 97227, USA.
| | - Tia L Kauffman
- Department of Translational and Applied Genomics, Center for Health Research, Kaiser Permanente Northwest, 3800 N. Interstate Ave, Portland, OR 97227, USA.
| | - Laura M Amendola
- Department of Medicine, Division of Medical Genetics, University of Washington Medical Center, 1705 NE Pacific St., Seattle, WA 98195, USA
| | | | | | - Michael O Dorschner
- Department of Medicine, Division of Medical Genetics, University of Washington Medical Center, 1705 NE Pacific St., Seattle, WA 98195, USA
| | - Devan M Duenas
- Treuman Katz Center for Pediatric Bioethics, Seattle Children's Research Institute and Hospital, 1900 9(th) Ave, M/S JMB-6, Seattle, WA 98101, USA
| | - Donna J Eubanks
- Center for Health Research, Kaiser Permanente Northwest, 3800 N Interstate Ave, Portland, OR 97227, USA
| | - Heather Spencer Feigelson
- Institute for Health Research, Kaiser Permanente Colorado, 2550 S Parker Rd, Suite 200, Aurora, CO 80014, USA
| | - Marian J Gilmore
- Department of Translational and Applied Genomics, Center for Health Research, Kaiser Permanente Northwest, 3800 N. Interstate Ave, Portland, OR 97227, USA
| | - Jessica Ezzell Hunter
- Department of Translational and Applied Genomics, Center for Health Research, Kaiser Permanente Northwest, 3800 N. Interstate Ave, Portland, OR 97227, USA
| | - Galen Joseph
- Department of Humanities and Social Sciences, University of California, San Francisco, 1450 3rd Street, Rm 551 & 556, San Francisco, CA 94143, USA
| | - Stephanie A Kraft
- Treuman Katz Center for Pediatric Bioethics, Seattle Children's Research Institute and Hospital, 1900 9(th) Ave, M/S JMB-6, Seattle, WA 98101, USA; Department of Pediatrics, Division of Bioethics and Palliative Care, University of Washington, 1959 NE Pacific St, Seattle, WA 98195, USA
| | - Sandra Soo Jin Lee
- Division of Ethics, Department of Medical Humanities and Ethics, Columbia University, 630 West 168(th) St, PH15E-1525, New York, NY 10032, USA
| | - Michael C Leo
- Center for Health Research, Kaiser Permanente Northwest, 3800 N Interstate Ave, Portland, OR 97227, USA
| | - Elizabeth G Liles
- Center for Health Research, Kaiser Permanente Northwest, 3800 N Interstate Ave, Portland, OR 97227, USA
| | - Nangel M Lindberg
- Center for Health Research, Kaiser Permanente Northwest, 3800 N Interstate Ave, Portland, OR 97227, USA
| | - Kristin R Muessig
- Department of Translational and Applied Genomics, Center for Health Research, Kaiser Permanente Northwest, 3800 N. Interstate Ave, Portland, OR 97227, USA
| | - Sonia Okuyama
- Denver Health and Hospital Authority, 777 Bannock Denver, CO 80204, USA
| | - Kathryn M Porter
- Treuman Katz Center for Pediatric Bioethics, Seattle Children's Research Institute and Hospital, 1900 9(th) Ave, M/S JMB-6, Seattle, WA 98101, USA
| | - Leslie S Riddle
- Department of Humanities and Social Sciences, University of California, San Francisco, 1450 3rd Street, Rm 551 & 556, San Francisco, CA 94143, USA
| | - Bradley A Rolf
- Department of Medicine, Division of Medical Genetics, University of Washington Medical Center, 1705 NE Pacific St., Seattle, WA 98195, USA
| | - Alan F Rope
- Center for Health Research, Kaiser Permanente Northwest, 3800 N Interstate Ave, Portland, OR 97227, USA; Genome Medical, 701 Gateway Blvd, Suite 380, San Francisco, CA 94080, USA
| | - Jamilyn M Zepp
- Department of Translational and Applied Genomics, Center for Health Research, Kaiser Permanente Northwest, 3800 N. Interstate Ave, Portland, OR 97227, USA
| | - Gail P Jarvik
- Department of Medicine, Division of Medical Genetics, University of Washington Medical Center, 1705 NE Pacific St., Seattle, WA 98195, USA
| | - Benjamin S Wilfond
- Treuman Katz Center for Pediatric Bioethics, Seattle Children's Research Institute and Hospital, 1900 9(th) Ave, M/S JMB-6, Seattle, WA 98101, USA; Department of Pediatrics, Division of Bioethics and Palliative Care, University of Washington, 1959 NE Pacific St, Seattle, WA 98195, USA
| | - Katrina A B Goddard
- Department of Translational and Applied Genomics, Center for Health Research, Kaiser Permanente Northwest, 3800 N. Interstate Ave, Portland, OR 97227, USA
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Staley BS, Milko LV, Waltz M, Griesemer I, Mollison L, Grant TL, Farnan L, Roche M, Navas A, Lightfoot A, Foreman AKM, O'Daniel JM, O'Neill SC, Lin FC, Roman TS, Brandt A, Powell BC, Rini C, Berg JS, Bensen JT. Evaluating the clinical utility of early exome sequencing in diverse pediatric outpatient populations in the North Carolina Clinical Genomic Evaluation of Next-generation Exome Sequencing (NCGENES) 2 study: a randomized controlled trial. Trials 2021; 22:395. [PMID: 34127041 PMCID: PMC8201439 DOI: 10.1186/s13063-021-05341-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2021] [Accepted: 05/26/2021] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND Exome sequencing (ES) has probable utility for shortening the diagnostic odyssey of children with suspected genetic disorders. This report describes the design and methods of a study evaluating the potential of ES as a routine clinical tool for pediatric patients who have suspected genetic conditions and who are in the early stages of the diagnostic odyssey. METHODS The North Carolina Clinical Genomic Evaluation by Next-generation Exome Sequencing (NCGENES) 2 study is an interdisciplinary, multi-site Phase III randomized controlled trial of two interventions: educational pre-visit preparation (PVP) and offer of first-line ES. In this full-factorial design, parent-child dyads are randomly assigned to one of four study arms (PVP + usual care, ES + usual care, PVP + ES + usual care, or usual care alone) in equal proportions. Participants are recruited from Pediatric Genetics or Neurology outpatient clinics in three North Carolina healthcare facilities. Eligible pediatric participants are < 16 years old and have a first visit to a participating clinic, a suspected genetic condition, and an eligible parent/guardian to attend the clinic visit and complete study measures. The study oversamples participants from underserved and under-represented populations. Participants assigned to the PVP arms receive an educational booklet and question prompt list before clinical interactions. Randomization to offer of first-line ES is revealed after a child's clinic visit. Parents complete measures at baseline, pre-clinic, post-clinic, and two follow-up timepoints. Study clinicians provide phenotypic data and complete measures after the clinic visit and after returning results. Reportable study-related research ES results are confirmed in a CLIA-certified clinical laboratory. Results are disclosed to the parent by the clinical team. A community consultation team contributed to the development of study materials and study implementation methods and remains engaged in the project. DISCUSSION NCGENES 2 will contribute valuable knowledge concerning technical, clinical, psychosocial, and health economic issues associated with using early diagnostic ES to shorten the diagnostic odyssey of pediatric patients with likely genetic conditions. Results will inform efforts to engage diverse populations in genomic medicine research and generate evidence that can inform policy, practice, and future research related to the utility of first-line diagnostic ES in health care. TRIAL REGISTRATION ClinicalTrials.gov NCT03548779 . Registered on June 07, 2018.
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Affiliation(s)
- Brooke S Staley
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Campus Box #7295, Chapel Hill, NC, 27599-7295, USA.
| | - Laura V Milko
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Margaret Waltz
- Department of Social Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Ida Griesemer
- Department of Heath Behavior, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Lonna Mollison
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Tracey L Grant
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Laura Farnan
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Myra Roche
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Department of Pediatrics, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, 27599, USA
| | - Angelo Navas
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Alexandra Lightfoot
- Department of Heath Behavior, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Center for Health Promotion and Disease Prevention, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Ann Katherine M Foreman
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Julianne M O'Daniel
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Suzanne C O'Neill
- Department of Oncology, Georgetown University, Washington, DC, 20007, USA
| | - Feng-Chang Lin
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Tamara S Roman
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Alicia Brandt
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Bradford C Powell
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Christine Rini
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Robert H. Lurie Comprehensive Cancer Center, Northwestern University, Chicago, IL, USA
| | - Jonathan S Berg
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Jeannette T Bensen
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Campus Box #7295, Chapel Hill, NC, 27599-7295, USA
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Genomic medicine implementation protocols in the PhenX Toolkit: tools for standardized data collection. Genet Med 2021; 23:1783-1788. [PMID: 33972721 PMCID: PMC8108409 DOI: 10.1038/s41436-021-01183-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Revised: 04/06/2021] [Accepted: 04/08/2021] [Indexed: 11/09/2022] Open
Abstract
PURPOSE The PhenX Toolkit ( www.phenxtoolkit.org ), an online catalog of recommended measurement protocols, facilitates cross-study analyses for research with human participants. The PhenX Steering Committee recommended genomic medicine implementation as a new research domain, with the following scope: genomic knowledge and education (both patients and providers); implementation science; changes in management and treatment; return of results; patient outcomes; and ethical, legal, and social issues (ELSI) associated with genomic research. METHODS A seven-member expert Working Group convened in October 2019 to identify well-established measurement protocols for a new genomic medicine implementation domain and used the established PhenX consensus process to select measurement protocols for inclusion in the PhenX Toolkit. RESULTS The Working Group recommended 15 measurement protocols for inclusion in the PhenX Toolkit, with priority given to those with empirical evidence supporting validity. Consortia funded by the National Institutes of Health, and particularly the National Human Genome Research Institute, proved critical in identifying protocols with established utility in this research domain, and identified protocols that were developed through a rigorous process for scope elements that lacked formally validated protocols. CONCLUSION Use of these protocols, which were released in September 2020, can facilitate standard data collection for genomic medicine implementation research.
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Hayeems RZ, Luca S, Assamad D, Bhatt A, Ungar WJ. Utility of Genetic Testing from the Perspective of Parents/Caregivers: A Scoping Review. CHILDREN (BASEL, SWITZERLAND) 2021; 8:259. [PMID: 33801725 PMCID: PMC8067127 DOI: 10.3390/children8040259] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 03/23/2021] [Accepted: 03/25/2021] [Indexed: 11/16/2022]
Abstract
In genomics, perceived and personal utility have been proposed as constructs of value that include the subjective meanings and uses of genetic testing. Precisely what constitutes these constructs of utility and how they vary by stakeholder perspective remains unresolved. To advance methods for measuring the value of genetic testing in child health, we conducted a scoping review of the literature to characterize utility from the perspective of parents/caregivers. Peer reviewed literature that included empiric findings from parents/caregivers who received genetic test results for an index child and was written in English from 2016-2020 was included. Identified concepts of utility were coded according to Kohler's construct of personal utility. Of 2142 abstracts screened, 33 met inclusion criteria. Studies reflected a range of genetic test types; the majority of testing was pursued for children with developmental or neurodevelopmental concerns. Coding resulted in 15 elements of utility that mapped to Kohler's four domains of personal utility (affective, cognitive, behavioural and social) and one additional medical management domain. An adapted construct of utility for parents/caregivers may enable specific and standardized strategies for researchers to use to generate evidence of the post-test value of genetic testing. In turn, this will contribute to emerging methods for health technology assessment and policy decision making for genomics in child health.
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Affiliation(s)
- Robin Z. Hayeems
- Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, ON M5G 1X8, Canada; (S.L.); (D.A.); (A.B.); (W.J.U.)
- Institute of Health Policy Management and Evaluation, The University of Toronto, Toronto, ON M5T 3M6, Canada
| | - Stephanie Luca
- Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, ON M5G 1X8, Canada; (S.L.); (D.A.); (A.B.); (W.J.U.)
| | - Daniel Assamad
- Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, ON M5G 1X8, Canada; (S.L.); (D.A.); (A.B.); (W.J.U.)
| | - Ayushi Bhatt
- Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, ON M5G 1X8, Canada; (S.L.); (D.A.); (A.B.); (W.J.U.)
- Schulich School of Medicine and Dentistry, Western University, London, ON N6A 5C1, Canada
| | - Wendy J. Ungar
- Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, ON M5G 1X8, Canada; (S.L.); (D.A.); (A.B.); (W.J.U.)
- Institute of Health Policy Management and Evaluation, The University of Toronto, Toronto, ON M5T 3M6, Canada
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Beil A, Hornsby W, Uhlmann WR, Aatre R, Arscott P, Wolford B, Eagle KA, Yang B, McNamara J, Willer C, Roberts JS. Disclosure of clinically actionable genetic variants to thoracic aortic dissection biobank participants. BMC Med Genomics 2021; 14:66. [PMID: 33648514 PMCID: PMC7923508 DOI: 10.1186/s12920-021-00902-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Accepted: 02/14/2021] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Disclosure of pathogenic variants to thoracic aortic dissection biobank participants was implemented. The impact and costs, including confirmatory genetic testing in a Clinical Laboratory Improvement Amendments (CLIA)-certified laboratory, were evaluated. METHODS We exome sequenced 240 cases with thoracic aortic dissection and 258 controls, then examined 11 aortopathy genes. Pathogenic variants in 6 aortopathy genes (COL3A1, FBN1, LOX, PRKG1, SMAD3, and TGFBR2) were identified in 26 participants, representing 10.8% of the cohort (26/240). A second research sample was used to validate the initial findings. Mailed letters to participants disclosed that a potentially disease causing DNA alteration had been identified (neither the gene nor variant was disclosed). Participants were offered clinical genetic counseling and confirmatory genetic testing in a CLIA laboratory. RESULTS Excluding 6 participants who were deceased or lost to follow-up, 20 participants received the disclosure letter, 10 of whom proceeded with genetic counseling, confirmatory genetic testing, and enrolled in a survey study. Participants reported satisfaction with the letter (4.2 ± 0.7) and genetic counseling (4.4 ± 0.4; [out of 5, respectively]). The psychosocial impact was characterized by low decisional regret (11.5 ± 11.6) and distress (16.0 ± 4.2, [out of 100, respectively]). The average cost for 26 participants was $400, including validation and sending letters. The average cost for those who received genetic counseling and CLIA laboratory confirmation was $605. CONCLUSIONS Participants were satisfied with the return of clinically significant biobank genetic results and CLIA laboratory testing; however, the process required significant time and resources. These findings illustrate the trade-offs involved for researchers considering returning research genetic results.
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Affiliation(s)
- Adelyn Beil
- Division of Pediatric Genetics, Metabolism, and Genomic Medicine, Department of Pediatrics, Michigan Medicine, Ann Arbor, MI, 48109, USA
| | - Whitney Hornsby
- Department of Internal Medicine, Michigan Medicine, 5804 Medical Science II, 1241 E. Catherine Street, Ann Arbor, MI, 48109-5618, USA
| | - Wendy R Uhlmann
- Department of Internal Medicine, Michigan Medicine, 5804 Medical Science II, 1241 E. Catherine Street, Ann Arbor, MI, 48109-5618, USA
- Department of Human Genetics, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
- Center for Bioethics and Social Sciences in Medicine, University of Michigan, Ann Arbor, MI, 48109-2029, USA
| | - Rajani Aatre
- Department of Internal Medicine, Michigan Medicine, 5804 Medical Science II, 1241 E. Catherine Street, Ann Arbor, MI, 48109-5618, USA
| | - Patricia Arscott
- Department of Internal Medicine, Michigan Medicine, 5804 Medical Science II, 1241 E. Catherine Street, Ann Arbor, MI, 48109-5618, USA
| | - Brooke Wolford
- Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
| | - Kim A Eagle
- Department of Internal Medicine, Michigan Medicine, 5804 Medical Science II, 1241 E. Catherine Street, Ann Arbor, MI, 48109-5618, USA
| | - Bo Yang
- Department of Cardiac Surgery, Michigan Medicine, Ann Arbor, MI, 48109, USA
| | - Jennifer McNamara
- Department of Internal Medicine, Michigan Medicine, 5804 Medical Science II, 1241 E. Catherine Street, Ann Arbor, MI, 48109-5618, USA
| | - Cristen Willer
- Department of Internal Medicine, Michigan Medicine, 5804 Medical Science II, 1241 E. Catherine Street, Ann Arbor, MI, 48109-5618, USA.
- Department of Human Genetics, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.
- Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.
| | - J Scott Roberts
- Center for Bioethics and Social Sciences in Medicine, University of Michigan, Ann Arbor, MI, 48109-2029, USA.
- Department of Health Behavior and Health Education, School of Public Health, University of Michigan, Ann Arbor, MI, 48109, USA.
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Carmichael N, Martinez Manzano JM, Quesada-Arias LD, Poli SDF, Baumgartner MA, Planchart Ferretto MA, DiGianni L, Gampala-Sagar S, Leone DA, Gulati S, El-Chemaly SY, Goldberg HJ, Putman R, Hatabu H, Rosas IO, Hunninghake GM, Raby BA. Psychological impact of genetic and clinical screening for pulmonary fibrosis on asymptomatic first-degree relatives of affected individuals. Thorax 2021; 76:621-623. [PMID: 33483364 DOI: 10.1136/thoraxjnl-2020-216244] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Revised: 12/01/2020] [Accepted: 12/28/2020] [Indexed: 12/25/2022]
Abstract
Screening for pulmonary fibrosis may help to identify early stages of the disease. We assessed the psychological impact of screening undiagnosed first-degree relatives of patients with pulmonary fibrosis by administering two validated measures after participants received their results: the Decisional Regret Scale and the Feelings About genomiC Testing Results Questionnaire. More than 90% of relatives reported either no or mild decisional regret. Increased measures of decisional regret and negative feelings were present in those found to have a low diffusion capacity of carbon monoxide or interstitial lung abnormalities. Results of telomere length and genetic testing did not significantly impact regret.
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Affiliation(s)
- Nikkola Carmichael
- Division of Pulmonary Medicine, Department of Pediatrics, Boston Children's Hospital, Boston, Massachusetts, USA .,BWH Pulmonary Genetics Center, Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Jose M Martinez Manzano
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Luisa D Quesada-Arias
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Sergio de Frías Poli
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Maura Alvarez Baumgartner
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Maria A Planchart Ferretto
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Lisa DiGianni
- Division of Pulmonary Medicine, Department of Pediatrics, Boston Children's Hospital, Boston, Massachusetts, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Shannon Gampala-Sagar
- Division of Pulmonary Medicine, Department of Pediatrics, Boston Children's Hospital, Boston, Massachusetts, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Dominick A Leone
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Swati Gulati
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Souheil Y El-Chemaly
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
| | - Hilary J Goldberg
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
| | - Rachel Putman
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
| | - Hiroto Hatabu
- Harvard Medical School, Boston, Massachusetts, USA.,Center for Pulmonary Functional Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Ivan O Rosas
- Department of Medicine: Pulmonary, Critical Care and Sleep Medicine, Baylor College of Medicine, Houston, Texas, USA
| | - Gary M Hunninghake
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA.,Center for Pulmonary Functional Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Benjamin A Raby
- Division of Pulmonary Medicine, Department of Pediatrics, Boston Children's Hospital, Boston, Massachusetts, USA.,BWH Pulmonary Genetics Center, Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
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Odgis JA, Gallagher KM, Suckiel SA, Donohue KE, Ramos MA, Kelly NR, Bertier G, Blackburn C, Brown K, Fielding L, Lopez J, Aguiniga KL, Maria E, Rodriguez JE, Sebastin M, Teitelman N, Watnick D, Yelton NM, Abhyankar A, Abul-Husn NS, Baum A, Bauman LJ, Beal JC, Bloom T, Cunningham-Rundles C, Diaz GA, Dolan S, Ferket BS, Jobanputra V, Kovatch P, McDonald TV, McGoldrick PE, Rhodes R, Rinke ML, Robinson M, Rubinstein A, Shulman LH, Stolte C, Wolf SM, Yozawitz E, Zinberg RE, Greally JM, Gelb BD, Horowitz CR, Wasserstein MP, Kenny EE. The NYCKidSeq project: study protocol for a randomized controlled trial incorporating genomics into the clinical care of diverse New York City children. Trials 2021; 22:56. [PMID: 33446240 PMCID: PMC7807444 DOI: 10.1186/s13063-020-04953-4] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2020] [Accepted: 12/08/2020] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Increasingly, genomics is informing clinical practice, but challenges remain for medical professionals lacking genetics expertise, and in access to and clinical utility of genomic testing for minority and underrepresented populations. The latter is a particularly pernicious problem due to the historical lack of inclusion of racially and ethnically diverse populations in genomic research and genomic medicine. A further challenge is the rapidly changing landscape of genetic tests and considerations of cost, interpretation, and diagnostic yield for emerging modalities like whole-genome sequencing. METHODS The NYCKidSeq project is a randomized controlled trial recruiting 1130 children and young adults predominantly from Harlem and the Bronx with suspected genetic disorders in three disease categories: neurologic, cardiovascular, and immunologic. Two clinical genetic tests will be performed for each participant, either proband, duo, or trio whole-genome sequencing (depending on sample availability) and proband targeted gene panels. Clinical utility, cost, and diagnostic yield of both testing modalities will be assessed. This study will evaluate the use of a novel, digital platform (GUÍA) to digitize the return of genomic results experience and improve participant understanding for English- and Spanish-speaking families. Surveys will collect data at three study visits: baseline (0 months), result disclosure visit (ROR1, + 3 months), and follow-up visit (ROR2, + 9 months). Outcomes will assess parental understanding of and attitudes toward receiving genomic results for their child and behavioral, psychological, and social impact of results. We will also conduct a pilot study to assess a digital tool called GenomeDiver designed to enhance communication between clinicians and genetic testing labs. We will evaluate GenomeDiver's ability to increase the diagnostic yield compared to standard practices, improve clinician's ability to perform targeted reverse phenotyping, and increase the efficiency of genetic testing lab personnel. DISCUSSION The NYCKidSeq project will contribute to the innovations and best practices in communicating genomic test results to diverse populations. This work will inform strategies for implementing genomic medicine in health systems serving diverse populations using methods that are clinically useful, technologically savvy, culturally sensitive, and ethically sound. TRIAL REGISTRATION ClinicalTrials.gov NCT03738098 . Registered on November 13, 2018 Trial Sponsor: Icahn School of Medicine at Mount Sinai Contact Name: Eimear Kenny, PhD (Principal Investigator) Address: Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Pl., Box 1003, New York, NY 10029 Email: eimear.kenny@mssm.edu.
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Affiliation(s)
- Jacqueline A Odgis
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Katie M Gallagher
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Sabrina A Suckiel
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Katherine E Donohue
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Michelle A Ramos
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Nicole R Kelly
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Gabrielle Bertier
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Christina Blackburn
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kaitlyn Brown
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Lena Fielding
- Molecular Diagnostics, New York Genome Center, New York, NY, USA
| | - Jessenia Lopez
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Karla Lopez Aguiniga
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Estefany Maria
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Jessica E Rodriguez
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Monisha Sebastin
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Nehama Teitelman
- Department of Pediatrics, Division of Pediatric Academic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Dana Watnick
- Department of Pediatrics, Division of Pediatric Academic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Nicole M Yelton
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Noura S Abul-Husn
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Aaron Baum
- Department of Health System Design and Global Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Laurie J Bauman
- Department of Pediatrics, Division of Pediatric Academic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Jules C Beal
- Department of Pediatrics, Division of Child Neurology, Weill Cornell Medical, New York, NY, USA
| | - Toby Bloom
- Molecular Diagnostics, New York Genome Center, New York, NY, USA
| | - Charlotte Cunningham-Rundles
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - George A Diaz
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Siobhan Dolan
- Department of Obstetrics and Gynecology and Women's Health (Reproductive and Medical Genetics), Albert Einstein College of Medicine, Bronx, NY, USA
| | - Bart S Ferket
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Vaidehi Jobanputra
- Molecular Diagnostics, New York Genome Center, New York, NY, USA
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY, USA
| | - Patricia Kovatch
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Scientific Computing and Data Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Thomas V McDonald
- Department of Medicine (Cardiology), Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Patricia E McGoldrick
- Department of Pediatrics, Division of Child Neurology, New York Medical College, Valhalla, NY, USA
- Pediatric Neurology, Boston Children's Health Physicians/Maria Fareri Children's Hospital, Hawthorne, NY, USA
| | - Rosamond Rhodes
- Department of Medical Education, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Michael L Rinke
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | | | - Arye Rubinstein
- Department of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Lisa H Shulman
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Christian Stolte
- Molecular Diagnostics, New York Genome Center, New York, NY, USA
| | - Steven M Wolf
- Department of Pediatrics, Division of Child Neurology, New York Medical College, Valhalla, NY, USA
- Pediatric Neurology, Boston Children's Health Physicians/Maria Fareri Children's Hospital, Hawthorne, NY, USA
| | - Elissa Yozawitz
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
- Isabelle Rapin Division of Child Neurology of the Saul R Korey Department of Neurology at Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Randi E Zinberg
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Obstetrics, Gynecology and Reproductive Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - John M Greally
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Bruce D Gelb
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Carol R Horowitz
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Melissa P Wasserstein
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Eimear E Kenny
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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Rolf B, Blue EE, Bucks S, Dorschner MO, Jayadev S. Genetic counseling for early onset and familial dementia: Patient perspectives on exome sequencing. J Genet Couns 2021; 30:793-802. [PMID: 33393146 DOI: 10.1002/jgc4.1379] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Revised: 12/07/2020] [Accepted: 12/09/2020] [Indexed: 12/12/2022]
Abstract
Genetic testing has become routine for many inherited conditions; however, little is known about the unique issues that arise when offering genetic testing for inherited forms of dementia. To better understand the patient perspective, we surveyed study participants about their experiences as they underwent genetic counseling and genetic testing for dementia. We recruited 50 pairs of subjects. Each pair was comprised of one person with cognitive impairment and a cognitively intact co-participant. Study participants received pre- and post-test genetic counseling and comprehensive genetic testing for dementia. During the study, participant pairs completed four surveys which asked about their experience. Testing began with a 38 gene dementia panel. Participants with negative panel results or variants of uncertain significance (VUS) were reflexed to exome sequencing (ES). Twenty-nine participants (58%) reported that their primary motivation to join the study was for the benefit to their families. Fifty-two percent of participants initially planned to use their test results to make health and wellness changes, but, six months after disclosure, only 31% had done so. Six months after result disclosure, approximately 90% of participant pairs accurately recalled their genetic test results. Overall satisfaction with testing was high, and decision regret was negligible. This observational study describes the experiences of study participants undergoing genetic counseling and genetic testing for dementia and found that most participant pairs accurately recalled their results up to six months following disclosure while also maintaining high levels of satisfaction without decision regret. These findings suggest that, in the context of genetic counseling, genetic testing can be effectively used in this population.
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Affiliation(s)
- Bradley Rolf
- Department of Neurology, University of Washington, Seattle, WA, USA
| | - Elizabeth E Blue
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA, USA
| | - Stephanie Bucks
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Michael O Dorschner
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Suman Jayadev
- Department of Neurology, University of Washington, Seattle, WA, USA
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38
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Hayeems RZ, Dimmock D, Bick D, Belmont JW, Green RC, Lanpher B, Jobanputra V, Mendoza R, Kulkarni S, Grove ME, Taylor SL, Ashley E. Clinical utility of genomic sequencing: a measurement toolkit. NPJ Genom Med 2020; 5:56. [PMID: 33319814 PMCID: PMC7738524 DOI: 10.1038/s41525-020-00164-7] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Accepted: 11/12/2020] [Indexed: 12/21/2022] Open
Abstract
Whole-genome sequencing (WGS) is positioned to become one of the most robust strategies for achieving timely diagnosis of rare genomic diseases. Despite its favorable diagnostic performance compared to conventional testing strategies, routine use and reimbursement of WGS are hampered by inconsistencies in the definition and measurement of clinical utility. For example, what constitutes clinical utility for WGS varies by stakeholder's perspective (physicians, patients, families, insurance companies, health-care organizations, and society), clinical context (prenatal, pediatric, critical care, adult medicine), and test purpose (diagnosis, screening, treatment selection). A rapidly evolving technology landscape and challenges associated with robust comparative study design in the context of rare disease further impede progress in this area of empiric research. To address this challenge, an expert working group of the Medical Genome Initiative was formed. Following a consensus-based process, we align with a broad definition of clinical utility and propose a conceptually-grounded and empirically-guided measurement toolkit focused on four domains of utility: diagnostic thinking efficacy, therapeutic efficacy, patient outcome efficacy, and societal efficacy. For each domain of utility, we offer specific indicators and measurement strategies. While we focus on diagnostic applications of WGS for rare germline diseases, this toolkit offers a flexible framework for best practices around measuring clinical utility for a range of WGS applications. While we expect this toolkit to evolve over time, it provides a resource for laboratories, clinicians, and researchers looking to characterize the value of WGS beyond the laboratory.
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Affiliation(s)
- Robin Z Hayeems
- Program in Child Health Evaluative Sciences, The Hospital for Sick Children and the Institute of Health Policy Management and Evaluation, University of Toronto, Toronto, ON, Canada.
| | - David Dimmock
- Rady Children's Hospital Institute for Genomic Medicine, San Diego, CA, USA
| | - David Bick
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | | | - Robert C Green
- Brigham and Women's Hospital Broad Institute and Harvard Medical School, Boston, MA, USA
| | | | - Vaidehi Jobanputra
- New York Genome Center, New York, NY, USA
- Department of Pathology and Cell Biology Columbia University Medical Center, New York, NY, USA
| | - Roberto Mendoza
- The Division of Clinical and Metabolic Genetics, The Hospital for Sick Children, Toronto, ON, Canada
| | - Shashi Kulkarni
- Baylor Genetics and Baylor College of Medicine, Houston, TX, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
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39
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Mighton C, Shickh S, Uleryk E, Pechlivanoglou P, Bombard Y. Clinical and psychological outcomes of receiving a variant of uncertain significance from multigene panel testing or genomic sequencing: a systematic review and meta-analysis. Genet Med 2020; 23:22-33. [PMID: 32921787 DOI: 10.1038/s41436-020-00957-2] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 08/21/2020] [Accepted: 08/24/2020] [Indexed: 12/18/2022] Open
Abstract
This study systematically reviewed and synthesized the literature on psychological and clinical outcomes of receiving a variant of uncertain significance (VUS) from multigene panel testing or genomic sequencing. MEDLINE and EMBASE were searched. Two reviewers screened studies and extracted data. Data were synthesized through meta-analysis and meta-aggregation. The search identified 4539 unique studies and 15 were included in the review. Patients with VUS reported higher genetic test-specific concerns on the Multidimensional Impact of Cancer Risk Assessment (MICRA) scale than patients with negative results (mean difference 3.73 [95% CI 0.80 to 6.66] P = 0.0126), and lower than patients with positive results (mean difference -7.01 [95% CI -11.31 to -2.71], P = 0.0014). Patients with VUS and patients with negative results were similarly likely to have a change in their clinical management (OR 1.41 [95% CI 0.90 to 2.21], P = 0.182), and less likely to have a change in management than patients with positive results (OR 0.09 [95% CI 0.05 to 0.19], P < 0.0001). Factors that contributed to how patients responded to their VUS included their interpretation of the result and their health-care provider's counseling and recommendations. Review findings suggest there may be a need for practice guidelines or clinical decision support tools for VUS disclosure and management.
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Affiliation(s)
- Chloe Mighton
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada.,Genomics Health Services Research Program, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
| | - Salma Shickh
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada.,Genomics Health Services Research Program, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
| | | | - Petros Pechlivanoglou
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada.,The Hospital for Sick Children, Toronto, ON, Canada
| | - Yvonne Bombard
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada. .,Genomics Health Services Research Program, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.
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40
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Goddard KA, Angelo FA, Ackerman SL, Berg JS, Biesecker BB, Danila MI, East KM, Hindorff LA, Horowitz CR, Hunter JE, Joseph G, Knight SJ, McGuire A, Muessig KR, Ou J, Outram S, Rahn EJ, Ramos MA, Rini C, Robinson JO, Smith HS, Waltz M, Lee SSJ. Lessons learned about harmonizing survey measures for the CSER consortium. J Clin Transl Sci 2020; 4:537-546. [PMID: 33948230 PMCID: PMC8057449 DOI: 10.1017/cts.2020.41] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Accepted: 03/05/2020] [Indexed: 01/09/2023] Open
Abstract
INTRODUCTION Implementation of genome-scale sequencing in clinical care has significant challenges: the technology is highly dimensional with many kinds of potential results, results interpretation and delivery require expertise and coordination across multiple medical specialties, clinical utility may be uncertain, and there may be broader familial or societal implications beyond the individual participant. Transdisciplinary consortia and collaborative team science are well poised to address these challenges. However, understanding the complex web of organizational, institutional, physical, environmental, technologic, and other political and societal factors that influence the effectiveness of consortia is understudied. We describe our experience working in the Clinical Sequencing Evidence-Generating Research (CSER) consortium, a multi-institutional translational genomics consortium. METHODS A key aspect of the CSER consortium was the juxtaposition of site-specific measures with the need to identify consensus measures related to clinical utility and to create a core set of harmonized measures. During this harmonization process, we sought to minimize participant burden, accommodate project-specific choices, and use validated measures that allow data sharing. RESULTS Identifying platforms to ensure swift communication between teams and management of materials and data were essential to our harmonization efforts. Funding agencies can help consortia by clarifying key study design elements across projects during the proposal preparation phase and by providing a framework for data sharing data across participating projects. CONCLUSIONS In summary, time and resources must be devoted to developing and implementing collaborative practices as preparatory work at the beginning of project timelines to improve the effectiveness of research consortia.
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Affiliation(s)
| | - Frank A.N. Angelo
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA, USA
| | - Sara L. Ackerman
- Department of Social and Behavioral Sciences, University of California, San Francisco, USA
| | - Jonathan S. Berg
- Department of Genetics, University of North Carolina, Chapel Hill, USA
| | | | - Maria I. Danila
- Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Kelly M. East
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | | | - Carol R. Horowitz
- Department of Medicine, General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Galen Joseph
- Department of Anthropology, History, and Social Medicine, University of California, San Francisco, USA
| | - Sara J. Knight
- Division of Epidemiology, Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA
| | - Amy McGuire
- Center for Medical Ethics and Health Policy at Baylor College of Medicine, Houston, TX, USA
| | - Kristin R. Muessig
- Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA
| | - Jeffrey Ou
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA, USA
| | - Simon Outram
- Program in Bioethics, University of California, San Francisco, USA
| | - Elizabeth J. Rahn
- Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Michelle A. Ramos
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Christine Rini
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Robert H. Lurie Comprehensive Cancer Center of Northwestern University, Chicago, IL, USA
| | - Jill O. Robinson
- Center for Medical Ethics and Health Policy at Baylor College of Medicine, Houston, TX, USA
| | - Hadley Stevens Smith
- Center for Medical Ethics and Health Policy at Baylor College of Medicine, Houston, TX, USA
| | - Margaret Waltz
- Department of Social Medicine, University of North Carolina, Chapel Hill, USA
| | - Sandra Soo-Jin Lee
- Division of Ethics, Department of Medical Humanities and Ethics, Columbia University, New York, NY, USA
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41
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What Results Should Be Returned from Opportunistic Screening in Translational Research? J Pers Med 2020; 10:jpm10010013. [PMID: 32121581 PMCID: PMC7151595 DOI: 10.3390/jpm10010013] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Revised: 02/16/2020] [Accepted: 02/18/2020] [Indexed: 12/15/2022] Open
Abstract
Increasingly, patients without clinical indications are undergoing genomic tests. The purpose of this study was to assess their appreciation and comprehension of their test results and their clinicians' reactions. We conducted 675 surveys with participants from the Vanderbilt Electronic Medical Records and Genomics (eMERGE) cohort. We interviewed 36 participants: 19 had received positive results, and 17 were self-identified racial minorities. Eleven clinicians who had patients who had participated in eMERGE were interviewed. A further 21 of these clinicians completed surveys. Participants spontaneously admitted to understanding little or none of the information returned to them from the eMERGE study. However, they simultaneously said that they generally found testing to be "helpful," even when it did not inform their health care. Primary care physicians expressed discomfort in being asked to interpret the results for their patients and described it as an undue burden. Providing genetic testing to otherwise healthy patients raises a number of ethical issues that warrant serious consideration. Although our participants were enthusiastic about enrolling and receiving their results, they express a limited understanding of what the results mean for their health care. This fact, coupled the clinicians' concern, urges greater caution when educating and enrolling participants in clinically non-indicated testing.
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42
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McConkie-Rosell A, Schoch K, Sullivan J, Cope H, Spillmann R, Palmer CGS, Pena L, Jiang YH, Daniels N, Walley N, Tan KG, Hooper SR, Shashi V. The genome empowerment scale: An assessment of parental empowerment in families with undiagnosed disease. Clin Genet 2019; 96:521-531. [PMID: 31448412 DOI: 10.1111/cge.13635] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Revised: 07/12/2019] [Accepted: 07/31/2019] [Indexed: 12/19/2022]
Abstract
While genomic sequencing (ES/GS) has the potential to diagnose children with difficult to diagnose phenotypes, the goal should be not only a diagnosis, but also to empower parents to seek next steps for their children and to emotionally manage the outcome, whether or not a diagnosis is secured. To help achieve this goal, objective measures are needed to assess the process of parental empowerment related to genome sequencing. We present the validity and reliability of the Genome Empowerment Scale (GEmS), developed using a healthcare empowerment theoretical model. To evaluate its psychometric properties, 158 parents of 117 children with an undiagnosed condition undergoing genomic sequencing completed the GEmS, measures for criterion validity and for depression and anxiety. Factor analysis resulted in a four factor solution: (a) meaning of a diagnosis; (b) emotional management of the process; (c) seeking information and support and (d) implications and planning. Reliability and validity analyses show that the GEmS has good psychometric properties. The inter-relationships among the factors revealed a profile that may identify parents at risk for a poorer outcome who may benefit from targeted genetic counseling. The GEmS, an objective measure of parental genomic empowerment, can be utilized for future research and translational applications.
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Affiliation(s)
- Allyn McConkie-Rosell
- Department of Pediatrics, Division of Medical Genetics, Duke University School of Medicine, Durham, North Carolina
| | - Kelly Schoch
- Department of Pediatrics, Division of Medical Genetics, Duke University School of Medicine, Durham, North Carolina
| | - Jennifer Sullivan
- Department of Pediatrics, Division of Medical Genetics, Duke University School of Medicine, Durham, North Carolina
| | - Heidi Cope
- Department of Pediatrics, Division of Medical Genetics, Duke University School of Medicine, Durham, North Carolina
| | - Rebecca Spillmann
- Department of Pediatrics, Division of Medical Genetics, Duke University School of Medicine, Durham, North Carolina
| | - Christina G S Palmer
- Department of Psychiatry and Biobehavioral Sciences, UCLA Semel Institute, Los Angeles, California
| | - Loren Pena
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Department of Pediatrics, University of Cincinnati School of Medicine
| | - Yong-Hui Jiang
- Department of Pediatrics, Division of Medical Genetics, Duke University School of Medicine, Durham, North Carolina
| | - Nicole Daniels
- Department of Pediatrics, Division of Medical Genetics, Duke University School of Medicine, Durham, North Carolina
| | - Nicole Walley
- Department of Pediatrics, Division of Medical Genetics, Duke University School of Medicine, Durham, North Carolina
| | - Khoon G Tan
- Department of Pediatrics, Division of Medical Genetics, Duke University School of Medicine, Durham, North Carolina
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- Undiagnosed Diseases Network, NIH Common Fund, Bethesda, Maryland
| | - Stephen R Hooper
- Department of Allied Health Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Vandana Shashi
- Department of Pediatrics, Division of Medical Genetics, Duke University School of Medicine, Durham, North Carolina
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43
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Niu X, Amendola LM, Hart R, Bennette CS, Heagerty P, Horike-Pyne M, Trinidad SB, Rosenthal EA, Comstock B, Nefcy C, Hisama FM, Bennett RL, Grady WM, Gallego CJ, Tarczy-Hornoch P, Fullerton SM, Burke W, Regier DA, Dorschner MO, Shirts BH, Robertson PD, Nickerson DA, Patrick DL, Jarvik GP, Veenstra DL. Clinical exome sequencing vs. usual care for hereditary colorectal cancer diagnosis: A pilot comparative effectiveness study. Contemp Clin Trials 2019; 84:105820. [PMID: 31400517 PMCID: PMC6741782 DOI: 10.1016/j.cct.2019.105820] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2019] [Revised: 07/26/2019] [Accepted: 08/04/2019] [Indexed: 12/18/2022]
Abstract
BACKGROUND Clinical exome sequencing (CES) provides the advantage of assessing genetic variation across the human exome compared to a traditional stepwise diagnostic approach or multi-gene panels. Comparative effectiveness research methods offer an approach to better understand the patient-centered and economic outcomes of CES. PURPOSE To evaluate CES compared to usual care (UC) in the diagnostic work-up of inherited colorectal cancer/polyposis (CRCP) in a randomized controlled trial (RCT). METHODS The primary outcome was clinical sensitivity for the diagnosis of inherited CRCP; secondary outcomes included psychosocial outcomes, family communication, and healthcare resource utilization. Participants were surveyed 2 and 4 weeks after results return and at 3-month intervals up to 1 year. RESULTS Evolving outcome measures and standard of care presented critical challenges. The majority of participants in the UC arm received multi-gene panels [94.73%]. Rates of genetic findings supporting the diagnosis of hereditary CRCP were 7.5% [7/93] vs. 5.4% [5/93] in the CES and UC arms, respectively (P = 0.28). Differences in privacy concerns after receiving CRCP results were identified (0.88 in UC vs 0.38 in CES, P = 0.05); however, healthcare resource utilization, family communication and psychosocial outcomes were similar between the two arms. More participants with positive results (17.7%) intended to change their life insurance 1 month after the first return visit compared to participants returned a variant of uncertain significance (9.1%) or negative result (4.8%) (P = 0.09). CONCLUSION Our results suggest that CES provides similar clinical benefits to multi-gene panels in the diagnosis of hereditary CRCP.
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Affiliation(s)
- Xin Niu
- Department of Epidemiology, University of Washington, Seattle, WA 98195, USA
| | - Laura M Amendola
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA 98195, USA
| | - Ragan Hart
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA 98195, USA
| | | | - Patrick Heagerty
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Martha Horike-Pyne
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA 98195, USA
| | - Susan B Trinidad
- Department of Bioethics and Humanities, University of Washington, Seattle, WA 98195, USA
| | - Elisabeth A Rosenthal
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA 98195, USA
| | - Bryan Comstock
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Chris Nefcy
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Fuki M Hisama
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA 98195, USA
| | - Robin L Bennett
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA 98195, USA
| | - William M Grady
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98101, USA
| | - Carlos J Gallego
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA 98195, USA; Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, OH 44106, USA; Comparative Health Outcomes, Economics and Policy Institute (CHOICE), University of Washington, Seattle, WA 98195, USA
| | - Peter Tarczy-Hornoch
- Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA 98195, USA
| | - Stephanie M Fullerton
- Department of Bioethics and Humanities, University of Washington, Seattle, WA 98195, USA
| | - Wylie Burke
- Department of Bioethics and Humanities, University of Washington, Seattle, WA 98195, USA
| | - Dean A Regier
- Canadian Centre for Applied Research in Cancer Control, BC Cancer Agency, Vancouver, BC V5Z 1L3, Canada
| | - Michael O Dorschner
- Department of Pathology, University of Washington, Seattle, WA 98195, USA; Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Brian H Shirts
- Department of Laboratory Medicine, University of Washington, Seattle, WA 98195, USA
| | - Peggy D Robertson
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Deborah A Nickerson
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Donald L Patrick
- Department of Health Services, University of Washington, Seattle, WA 98195, USA
| | - Gail P Jarvik
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA 98195, USA; Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - David L Veenstra
- Comparative Health Outcomes, Economics and Policy Institute (CHOICE), University of Washington, Seattle, WA 98195, USA.
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44
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Robinson JO, Wynn J, Biesecker B, Biesecker LG, Bernhardt B, Brothers KB, Chung WK, Christensen KD, Green RC, McGuire AL, Hart MR, Griesemer I, Patrick DL, Rini C, Veenstra D, Cronin AM, Gray SW. Psychological outcomes related to exome and genome sequencing result disclosure: a meta-analysis of seven Clinical Sequencing Exploratory Research (CSER) Consortium studies. Genet Med 2019; 21:2781-2790. [PMID: 31189963 DOI: 10.1038/s41436-019-0565-3] [Citation(s) in RCA: 55] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Accepted: 05/22/2019] [Indexed: 12/31/2022] Open
Abstract
PURPOSE As exome and genome sequencing (ES/GS) enters the clinic, there is an urgent need to understand the psychological effects of test result disclosure. Through a Clinical Sequencing Exploratory Research (CSER), phase 1 (CSER1) Consortium collaboration, we evaluated participants' psychological outcomes across multiple clinical settings. METHODS We conducted a random effects meta-analysis of state anxiety (Hospital Anxiety and Depression Scale [HADS]/Generalized Anxiety Disorder 7-item), depressive symptoms (HADS/Personal Health Questionnaire 9-item), and multidimensional impact (i.e., test-related distress, uncertainty and positive impact: modified Multidimensional Impact of Cancer Risk Assessment/Feelings About Genomic Testing Results scale). RESULTS Anxiety and depression did not increase significantly following test result disclosure. Meta-analyses examining mean differences from pre- to postdisclosure revealed an overall trend for a decrease in participants' anxiety. We observed low levels of test-related distress and perceptions of uncertainty in some populations (e.g., pediatric patients) and a wide range of positive responses. CONCLUSION Our findings across multiple clinical settings suggest no clinically significant psychological harms from the return of ES/GS results. Some populations may experience low levels of test-related distress or greater positive psychological effects. Future research should further investigate the reasons for test-related psychological response variation.
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Affiliation(s)
- Jill O Robinson
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX, USA
| | - Julia Wynn
- Department of Pediatrics, Columbia University Medical Center, New York, NY, USA
| | | | - Leslie G Biesecker
- Medical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | - Barbara Bernhardt
- Division of Translational Medicine and Human Genetics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Kyle B Brothers
- Department of Pediatrics, University of Louisville School of Medicine, Louisville, KY, USA
| | - Wendy K Chung
- Department of Pediatrics, Columbia University Medical Center, New York, NY, USA.,Department of Medicine, Columbia University Medical Center, New York, NY, USA
| | - Kurt D Christensen
- Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Robert C Green
- Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.,Broad Institute of MIT, Cambridge, MA, USA
| | - Amy L McGuire
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX, USA
| | - M Ragan Hart
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
| | - Ida Griesemer
- Department of Health Behavior, University of North Carolina, Chapel Hill, NC, USA
| | - Donald L Patrick
- Department of Health Services, University of Washington, Seattle, WA, USA
| | - Christine Rini
- John Theurer Cancer Center, Hackensack University Medical Center, Hackensack, NJ, USA.,Georgetown University School of Medicine, Washington, DC, USA
| | - David Veenstra
- Clinical Sequencing Exploratory Research Coordinating Center, University of Washington, Seattle, WA, USA.,Department of Pharmacy, University of Washington, Seattle, WA, USA
| | | | - Stacy W Gray
- Department of Population Science, City of Hope, Duarte, CA, USA. .,Department of Medical Oncology & Therapeutics Research, City of Hope, Duarte, CA, USA.
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Roberts JS. Assessing the Psychological Impact of Genetic Susceptibility Testing. Hastings Cent Rep 2019; 49 Suppl 1:S38-S43. [PMID: 31268575 PMCID: PMC7026861 DOI: 10.1002/hast.1015] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
The expanded use of genetic testing raises key ethical and policy questions about possible benefits and harms for those receiving disease-risk information. As predictive testing for Huntington's was initiated in a clinical setting, survey research posing hypothetical test scenarios suggested that the vast majority of at-risk relatives wanted to know whether they carried a disease-causing mutation. However, only a small minority ultimately availed themselves of this opportunity. Many at-risk individuals concluded that a positive test result would be too psychologically overwhelming. A substantial literature suggests that individuals are often more resilient than anticipated in coping with many different health-related stresses. Much of my own work in the field has been through the Risk Evaluation & Education for Alzheimer's Disease study (REVEAL), a series of randomized clinical trials assessing the impact of genetic susceptibility testing on asymptomatic individuals at risk for Alzheimer's disease. Our experience in developing and implementing four successive, multisite trials provides some potentially useful lessons for the field. More people will be asking for their personal genetic information. Better understanding will help us decide when access is appropriate and how best to disclose results in a manner that supports adjustment to test findings and promotes use of genetic information to improve human health.
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