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Henderson TO, Allen MA, Mim R, Egleston B, Fleisher L, Elkin E, Oeffinger K, Krull K, Ofidis D, Mcleod B, Griffin H, Wood E, Cacioppo C, Weinberg M, Brown S, Howe S, McDonald A, Vukadinovich C, Alston S, Rinehart D, Armstrong GT, Bradbury AR. The ENGAGE study: a 3-arm randomized hybrid type 1 effectiveness and implementation study of an in-home, collaborative PCP model of remote telegenetic services to increase uptake of cancer genetic services in childhood cancer survivors. BMC Health Serv Res 2024; 24:253. [PMID: 38414045 PMCID: PMC10900774 DOI: 10.1186/s12913-024-10586-z] [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: 12/01/2023] [Accepted: 01/09/2024] [Indexed: 02/29/2024] Open
Abstract
BACKGROUND Germline cancer genetic testing has become a standard evidence-based practice, with established risk reduction and screening guidelines for genetic carriers. Access to genetic services is limited in many places, which leaves many genetic carriers unidentified and at risk for late diagnosis of cancers and poor outcomes. This poses a problem for childhood cancer survivors, as this is a population with an increased risk for subsequent malignant neoplasms (SMN) due to cancer therapy or inherited cancer predisposition. The ENGaging and Activating cancer survivors in Genetic services (ENGAGE) study evaluates the effectiveness of an in-home, collaborative PCP model of remote telegenetic services to increase uptake of cancer genetic testing in childhood cancer survivors compared to usual care options for genetic testing. METHODS The ENGAGE study is a 3-arm randomized hybrid type 1 effectiveness and implementation study within the Childhood Cancer Survivor Study population which tests a clinical intervention while gathering information on its delivery during the effectiveness trial and its potential for future implementation among 360 participants. Participants are randomized into three arms. Those randomized to Arm A receive genetic services via videoconferencing, those in Arm B receive these services by phone, and those randomized to Arm C will receive usual care services. DISCUSSION With many barriers to accessing genetic services, innovative delivery models are needed to address this gap and increase uptake of genetic services. The ENGAGE study evaluates the effectiveness of an adapted model of remote delivery of genetic services to increase the uptake of recommended genetic testing in childhood cancer survivors. This study assesses the uptake in remote genetic services and identify barriers to uptake to inform future recommendations and a theoretically-informed process evaluation which can inform modifications to enhance dissemination beyond this study population and to realize the benefits of precision medicine. TRIAL REGISTRATION This protocol was registered at clinicaltrials.gov (NCT04455698) on July 2, 2020.
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Affiliation(s)
- Tara O Henderson
- Department of Pediatrics, The University of Chicago, Chicago, IL, USA.
| | - Mary Ashley Allen
- Department of Pediatrics, The University of Chicago, Chicago, IL, USA
| | - Rajia Mim
- Abramson Cancer Center and Division of Hematology-Oncology, The University of Pennsylvania, Philadelphia, PA, USA
| | | | | | | | | | - Kevin Krull
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Demetrios Ofidis
- Abramson Cancer Center and Division of Hematology-Oncology, The University of Pennsylvania, Philadelphia, PA, USA
| | - Briana Mcleod
- Abramson Cancer Center and Division of Hematology-Oncology, The University of Pennsylvania, Philadelphia, PA, USA
| | - Hannah Griffin
- Abramson Cancer Center and Division of Hematology-Oncology, The University of Pennsylvania, Philadelphia, PA, USA
| | - Elizabeth Wood
- Abramson Cancer Center and Division of Hematology-Oncology, The University of Pennsylvania, Philadelphia, PA, USA
| | - Cara Cacioppo
- Abramson Cancer Center and Division of Hematology-Oncology, The University of Pennsylvania, Philadelphia, PA, USA
| | - Michelle Weinberg
- Abramson Cancer Center and Division of Hematology-Oncology, The University of Pennsylvania, Philadelphia, PA, USA
| | - Sarah Brown
- Abramson Cancer Center and Division of Hematology-Oncology, The University of Pennsylvania, Philadelphia, PA, USA
| | - Sarah Howe
- Abramson Cancer Center and Division of Hematology-Oncology, The University of Pennsylvania, Philadelphia, PA, USA
| | - Aaron McDonald
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Chris Vukadinovich
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Shani Alston
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Dayton Rinehart
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Gregory T Armstrong
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Angela R Bradbury
- Abramson Cancer Center and Division of Hematology-Oncology, The University of Pennsylvania, Philadelphia, PA, USA
- Department of Medical Ethics and Health Policy, The University of Pennsylvania, Philadelphia, PA, USA
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Nolan JJ, Forrest J, Ormondroyd E. Additional findings from the 100,000 Genomes Project: A qualitative study of recipient perspectives. Genet Med 2024; 26:101103. [PMID: 38411041 DOI: 10.1016/j.gim.2024.101103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 02/19/2024] [Accepted: 02/21/2024] [Indexed: 02/28/2024] Open
Abstract
PURPOSE Participants in the 100,000 Genomes Project, a clinical/research initiative delivered through the UK National Health Service, were offered screening for "additional findings" (AFs): pathogenic/likely pathogenic secondary findings in genes associated with familial hypercholesterolemia or a cancer predisposition syndrome. Understanding the psychological and behavioral responses to secondary findings can inform the clinical utility of a search and disclose policy. METHODS Thirty-two adult AF recipients took part in semi-structured interviews analyzed using deductive and inductive thematic analysis. RESULTS Five themes were constructed: cognitive responses to an AF, emotional and psychological responses, personal control, perceived risk of AF-associated disease, and family implications. Many participants had misunderstood or incompletely remembered consent for AFs, and most were surprised or shocked to receive an AF. Although many ultimately appreciated knowing about the risk conferred, some struggled to make sense of their disease risk, which complicated decision making about risk management, particularly for women with a BRCA AF. Recipients sought control through seeking clinical evaluation and information, and informing relatives. Difficulties with conceptualizing risk and lack of AF-associated disease family history meant that some hesitated to inform relatives. CONCLUSION Genome sequencing programs offering secondary findings require attention to consent processes. Post-disclosure care should aim to promote recipients' perceived personal control.
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Affiliation(s)
- Joshua J Nolan
- Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Jamie Forrest
- Oxford Centre for Genomic Medicine, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom; University of Manchester, Manchester, United Kingdom
| | - Elizabeth Ormondroyd
- Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom; NIHR Oxford Biomedical Research Centre, Oxford, United Kingdom.
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3
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Morrow A, Speechly C, Young AL, Tucker K, Harris R, Poplawski N, Andrews L, Nguyen Dumont T, Kirk J, Southey MC, Willis A. "Out of the blue": A qualitative study exploring the experiences of women and next of kin receiving unexpected results from BRA-STRAP research gene panel testing. J Genet Couns 2023. [PMID: 37864663 DOI: 10.1002/jgc4.1803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 09/21/2023] [Accepted: 09/22/2023] [Indexed: 10/23/2023]
Abstract
In the genomic era, the availability of gene panel and whole genome/exome sequencing is rapidly increasing. Opportunities for providing former patients with new genetic information are also increasing over time and recontacting former patients with new information is likely to become more common. Breast cancer Refined Analysis of Sequence Tests-Risk And Penetrance (BRA-STRAP) is an Australian study of individuals who had previously undertaken BRCA1 and BRCA2 genetic testing, with no pathogenic variants detected. Using a waiver of consent, stored DNA samples were retested using a breast/ovarian cancer gene panel and clinically significant results returned to the patient (or next of kin, if deceased). This qualitative study aimed to explore patient experiences, opinions, and expectations of recontacting in the Australian hereditary cancer setting. Participants were familial cancer clinic patients (or next of kin) who were notified of a new pathogenic variant identified via BRA-STRAP. In-depth, semi-structured interviews were conducted approximately 6 weeks post-result. Interviews were transcribed verbatim and analyzed using an inductive thematic approach. Thirty participants (all female; average age = 57; range 36-84) were interviewed. Twenty-five were probands, and five were next of kin. Most women reported initial shock upon being recontacted with unexpected news, after having obtained a sense of closure related to their initial genetic testing experiences and cancer diagnosis. For most, this initial distress was short-lived, followed by a process of readjustment, meaning-making and adaptation that was facilitated by perceived clinical and personal utility of the information. Women were overall satisfied with the waiver of consent approach and recontacting process. Results are in line with previous studies suggesting that patients have positive attitudes about recontacting. Women in this study valued new genetic information gained from retesting and were satisfied with the BRA-STRAP recontact model. Practice implications to facilitate readjustment and promote psychosocial adaptation were identified.
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Affiliation(s)
- April Morrow
- Implementation to Impact (i2i), School of Population Health, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
- Hereditary Cancer Centre, Prince of Wales Hospital, Randwick, New South Wales, Australia
| | - Catherine Speechly
- Hereditary Cancer Centre, Prince of Wales Hospital, Randwick, New South Wales, Australia
| | - Alison Luk Young
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
| | - Kathy Tucker
- Hereditary Cancer Centre, Prince of Wales Hospital, Randwick, New South Wales, Australia
- UNSW Prince of Wales Clinical School, Randwick, New South Wales, Australia
| | - Rebecca Harris
- Westmead Hospital Familial Cancer Service, Crown Princess Mary Cancer Centre, Westmead, New South Wales, Australia
| | - Nicola Poplawski
- Adult Genetics Unit, Royal Adelaide Hospital, Adelaide, South Australia, Australia
- Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia
| | - Lesley Andrews
- Hereditary Cancer Centre, Prince of Wales Hospital, Randwick, New South Wales, Australia
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
| | - Tu Nguyen Dumont
- Department of Clinical Pathology, Melbourne Medical School, The University of Melbourne, Parkville, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Judy Kirk
- Westmead Hospital Familial Cancer Service, Crown Princess Mary Cancer Centre, Westmead, New South Wales, Australia
| | - Melissa C Southey
- Department of Clinical Pathology, Melbourne Medical School, The University of Melbourne, Parkville, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
- Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Amanda Willis
- Clinical Translation and Engagement Platform, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia
- School of Clinical Medicine, UNSW Medicine & Health, St Vincent's Healthcare Clinical Campus, Faculty of Medicine and Health, University of New South Wales, Sydney, New South Wales, Australia
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Leitsalu L, Reigo A, Palover M, Nikopensius T, Läll K, Krebs K, Reisberg S, Mägi R, Kals M, Alavere H, Nõukas M, Kolk A, Normet I, Tammesoo ML, Käärik E, Puusepp M, Metsalu K, Allik A, Milani L, Fischer K, Tõnisson N, Metspalu A. Lessons learned during the process of reporting individual genomic results to participants of a population-based biobank. Eur J Hum Genet 2023; 31:1048-1056. [PMID: 36192438 PMCID: PMC10474261 DOI: 10.1038/s41431-022-01196-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 08/06/2022] [Accepted: 09/13/2022] [Indexed: 11/09/2022] Open
Abstract
The return of individual genomic results (ROR) to research participants is still in its early phase, and insight on how individuals respond to ROR is scarce. Studies contributing to the evidence base for best practices are crucial before these can be established. Here, we describe a ROR procedure conducted at a population-based biobank, followed by surveying the responses of almost 3000 participants to a range of results, and discuss lessons learned from the process, with the aim of facilitating large-scale expansion. Overall, participants perceived the information that they received with counseling as valuable, even when the reporting of high risks initially caused worry. The face-to-face delivery of results limited the number of participants who received results. Although the participants highly valued this type of communication, additional means of communication need to be considered to improve the feasibility of large-scale ROR. The feedback collected sheds light on the value judgements of the participants and on potential responses to the receipt of genetic risk information. Biobanks in other countries are planning or conducting similar projects, and the sharing of lessons learned may provide valuable insight and aid such endeavors.
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Affiliation(s)
- Liis Leitsalu
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia.
| | - Anu Reigo
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Marili Palover
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Tiit Nikopensius
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Kristi Läll
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Kristi Krebs
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Sulev Reisberg
- Institute of Computer Science, University of Tartu, Tartu, Estonia
- STACC, Tartu, Estonia
| | - Reedik Mägi
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Mart Kals
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Helene Alavere
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Margit Nõukas
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Anneli Kolk
- Institute of Clinical Medicine, Faculty of Medicine, University of Tartu, Tartu, Estonia
| | - Ivi Normet
- Family Medicine Center of Medicum, Tallinn, Estonia
| | - Mari-Liis Tammesoo
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Ene Käärik
- Institute of Mathematics and Statistics, University of Tartu, Tartu, Estonia
| | - Mairo Puusepp
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Kristjan Metsalu
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Annely Allik
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
- Current - Estonian Research Council, Tartu, Estonia
| | - Lili Milani
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Krista Fischer
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
- Institute of Mathematics and Statistics, University of Tartu, Tartu, Estonia
| | - Neeme Tõnisson
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
- Tartu University Hospital, Tartu, Estonia
| | - Andres Metspalu
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
- Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
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5
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Jürgens H, Roht L, Leitsalu L, Nõukas M, Palover M, Nikopensius T, Reigo A, Kals M, Kallak K, Kütner R, Budrikas K, Kuusk S, Valvere V, Laidre P, Toome K, Rekker K, Tooming M, Ülle Murumets, Kahre T, Kruuv-Käo K, Õunap K, Padrik P, Metspalu A, Esko T, Fischer K, Tõnisson N. Precise, Genotype-First Breast Cancer Prevention: Experience With Transferring Monogenic Findings From a Population Biobank to the Clinical Setting. Front Genet 2022; 13:881100. [PMID: 35938029 PMCID: PMC9355130 DOI: 10.3389/fgene.2022.881100] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 06/21/2022] [Indexed: 11/13/2022] Open
Abstract
Although hereditary breast cancer screening and management are well accepted and established in clinical settings, these efforts result in the detection of only a fraction of genetic predisposition at the population level. Here, we describe our experience from a national pilot study (2018–2021) in which 180 female participants of Estonian biobank (of >150,000 participants in total) were re-contacted to discuss personalized clinical prevention measures based on their genetic predisposition defined by 11 breast cancer–related genes. Our results show that genetic risk variants are relatively common in the average-risk Estonian population. Seventy-five percent of breast cancer cases in at-risk subjects occurred before the age of 50 years. Only one-third of subjects would have been eligible for clinical screening according to the current criteria. The participants perceived the receipt of genetic risk information as valuable. Fluent cooperation of project teams supported by state-of-art data management, quality control, and secure transfer can enable the integration of research results to everyday medical practice in a highly efficient, timely, and well-accepted manner. The positive experience in this genotype-first breast cancer study confirms the value of using existing basic genomic data from population biobanks for precise prevention.
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6
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Umstead KL, Campbell R, Napier CE, Bartley N, Best MC, Butow PN, Biesecker BB. Further validation of the Perceptions of Uncertainties in Genome Sequencing (PUGS) scale among patients with cancer undergoing tumor sequencing. Clin Genet 2022; 102:110-116. [PMID: 35615816 DOI: 10.1111/cge.14169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Revised: 04/23/2022] [Accepted: 05/12/2022] [Indexed: 11/30/2022]
Abstract
It is important to understand how individuals perceive uncertainties and the consequent impact on their psychological well-being and health behavior. The Perceptions of Uncertainty in Genome Sequencing (PUGS) scale measures clinical, affective, and evaluative uncertainties about information from sequencing. The PUGS scale has been shown to be valid and reliable among individuals receiving results about their genomes. This study assessed whether its validity generalized to patients with cancer undergoing tumor sequencing. Exploratory factor analysis (EFA) was conducted on data from the Molecular Screening and Therapeutics Program (n=310) to identify a measurement model. Confirmatory factor analysis (CFA) was used to determine the adequacy of the resulting fit. EFA identified the same three-factor structure reported previously. CFA confirmed that the measurement model yielded a good fit (χ2/df=3.72, CFI=0.96, SRMR=0.05, RMSEA=0.09) and satisfied convergent and discriminant validity. These findings provide further evidence of the validity and reliability of the PUGS scale in measuring three types of uncertainty. Continued application will facilitate an evidence-based approach to intervention and enhance understanding of what it is like to receive results. In turn, this will improve clinical outcomes as undergoing sequencing becomes an increasingly common experience. This article is protected by copyright. All rights reserved.
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Affiliation(s)
| | - Rachel Campbell
- The University of Sydney, Faculty of Science, School of Psychology, Sydney Quality of Life Office, Sydney, Australia
| | - Christine E Napier
- Cancer Theme, Garvan Institute of Medical Research, Darlinghurst, Australia
| | - Nicole Bartley
- The University of Sydney, Faculty of Science, School of Psychology, Psycho-Oncology Co-operative Research Group (PoCoG), Sydney, Australia
| | - Megan C Best
- Institute for Ethics and Society, University of Notre Dame Australia, Broadway, Australia
| | - Phyllis N Butow
- The University of Sydney, Faculty of Science, School of Psychology, Psycho-Oncology Co-operative Research Group (PoCoG), Sydney, Australia
| | - Barbara B Biesecker
- RTI International, Genomics, Bioinformatics and Translational Science, Bethesda, MD, USA
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7
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Rebbeck TR, Bridges JFP, Mack JW, Gray SW, Trent JM, George S, Crossnohere NL, Paskett ED, Painter CA, Wagle N, Kano M, Nez Henderson P, Henderson JA, Mishra SI, Willman CL, Sussman AL. A Framework for Promoting Diversity, Equity, and Inclusion in Genetics and Genomics Research. JAMA HEALTH FORUM 2022; 3:e220603. [PMID: 35755401 PMCID: PMC9223088 DOI: 10.1001/jamahealthforum.2022.0603] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/13/2023] Open
Abstract
IMPORTANCE Research into the genetic and genomic ("genomics") foundations of disease is central to our understanding of disease prevention, early detection, diagnostic accuracy, and therapeutic intervention. Inequitable participation in genomics research by historically excluded populations limits the ability to translate genomic knowledge to achieve health equity and ensure that findings are generalizable to diverse populations. OBSERVATIONS We propose a novel framework for promoting diversity, equity, and inclusion in genomics research. Building on principles of community-based participatory research and collective impact frameworks, the framework can guide our understanding of the social, cultural, health system, policy, community, and individual contexts in which engagement and genomics research are being done. Our framework highlights the involvement of a multistakeholder team, including the participants and communities to be engaged, to ensure robust methods for recruitment, retention, return of genomic results, quality of engagement, follow-up, and monitoring of participants. CONCLUSIONS AND RELEVANCE The proposed engagement framework will guide investigators in optimizing equitable representation in research and enhancing the rigor of genomics investigation.
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Affiliation(s)
- Timothy R Rebbeck
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts (Rebbeck); Dana-Farber Cancer Institute, Boston, Massachusetts (Rebbeck, Mack, George, Wagle); The Ohio State University, Columbus, Ohio (Bridges, Crossnohere, Paskett); City of Hope, Duarte, California (Gray); The Translational Genomics Research Institute, Phoenix, Arizona (Trent); Broad Institute to Broad Institute of MIT and Harvard and Count Me In, Cambridge, Massachusetts (Painter, Wagle); University of New Mexico Comprehensive Cancer Center and Health Sciences Center, Albuquerque (Kano, Mishra, Willman, Sussman); Black Hills Center for American Indian Health, Rapid City, South Dakota (Nez Henderson, Henderson); Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota (Willman)
| | - John F P Bridges
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts (Rebbeck); Dana-Farber Cancer Institute, Boston, Massachusetts (Rebbeck, Mack, George, Wagle); The Ohio State University, Columbus, Ohio (Bridges, Crossnohere, Paskett); City of Hope, Duarte, California (Gray); The Translational Genomics Research Institute, Phoenix, Arizona (Trent); Broad Institute to Broad Institute of MIT and Harvard and Count Me In, Cambridge, Massachusetts (Painter, Wagle); University of New Mexico Comprehensive Cancer Center and Health Sciences Center, Albuquerque (Kano, Mishra, Willman, Sussman); Black Hills Center for American Indian Health, Rapid City, South Dakota (Nez Henderson, Henderson); Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota (Willman)
| | - Jennifer W Mack
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts (Rebbeck); Dana-Farber Cancer Institute, Boston, Massachusetts (Rebbeck, Mack, George, Wagle); The Ohio State University, Columbus, Ohio (Bridges, Crossnohere, Paskett); City of Hope, Duarte, California (Gray); The Translational Genomics Research Institute, Phoenix, Arizona (Trent); Broad Institute to Broad Institute of MIT and Harvard and Count Me In, Cambridge, Massachusetts (Painter, Wagle); University of New Mexico Comprehensive Cancer Center and Health Sciences Center, Albuquerque (Kano, Mishra, Willman, Sussman); Black Hills Center for American Indian Health, Rapid City, South Dakota (Nez Henderson, Henderson); Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota (Willman)
| | - Stacy W Gray
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts (Rebbeck); Dana-Farber Cancer Institute, Boston, Massachusetts (Rebbeck, Mack, George, Wagle); The Ohio State University, Columbus, Ohio (Bridges, Crossnohere, Paskett); City of Hope, Duarte, California (Gray); The Translational Genomics Research Institute, Phoenix, Arizona (Trent); Broad Institute to Broad Institute of MIT and Harvard and Count Me In, Cambridge, Massachusetts (Painter, Wagle); University of New Mexico Comprehensive Cancer Center and Health Sciences Center, Albuquerque (Kano, Mishra, Willman, Sussman); Black Hills Center for American Indian Health, Rapid City, South Dakota (Nez Henderson, Henderson); Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota (Willman)
| | - Jeffrey M Trent
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts (Rebbeck); Dana-Farber Cancer Institute, Boston, Massachusetts (Rebbeck, Mack, George, Wagle); The Ohio State University, Columbus, Ohio (Bridges, Crossnohere, Paskett); City of Hope, Duarte, California (Gray); The Translational Genomics Research Institute, Phoenix, Arizona (Trent); Broad Institute to Broad Institute of MIT and Harvard and Count Me In, Cambridge, Massachusetts (Painter, Wagle); University of New Mexico Comprehensive Cancer Center and Health Sciences Center, Albuquerque (Kano, Mishra, Willman, Sussman); Black Hills Center for American Indian Health, Rapid City, South Dakota (Nez Henderson, Henderson); Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota (Willman)
| | - Suzanne George
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts (Rebbeck); Dana-Farber Cancer Institute, Boston, Massachusetts (Rebbeck, Mack, George, Wagle); The Ohio State University, Columbus, Ohio (Bridges, Crossnohere, Paskett); City of Hope, Duarte, California (Gray); The Translational Genomics Research Institute, Phoenix, Arizona (Trent); Broad Institute to Broad Institute of MIT and Harvard and Count Me In, Cambridge, Massachusetts (Painter, Wagle); University of New Mexico Comprehensive Cancer Center and Health Sciences Center, Albuquerque (Kano, Mishra, Willman, Sussman); Black Hills Center for American Indian Health, Rapid City, South Dakota (Nez Henderson, Henderson); Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota (Willman)
| | - Norah L Crossnohere
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts (Rebbeck); Dana-Farber Cancer Institute, Boston, Massachusetts (Rebbeck, Mack, George, Wagle); The Ohio State University, Columbus, Ohio (Bridges, Crossnohere, Paskett); City of Hope, Duarte, California (Gray); The Translational Genomics Research Institute, Phoenix, Arizona (Trent); Broad Institute to Broad Institute of MIT and Harvard and Count Me In, Cambridge, Massachusetts (Painter, Wagle); University of New Mexico Comprehensive Cancer Center and Health Sciences Center, Albuquerque (Kano, Mishra, Willman, Sussman); Black Hills Center for American Indian Health, Rapid City, South Dakota (Nez Henderson, Henderson); Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota (Willman)
| | - Electra D Paskett
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts (Rebbeck); Dana-Farber Cancer Institute, Boston, Massachusetts (Rebbeck, Mack, George, Wagle); The Ohio State University, Columbus, Ohio (Bridges, Crossnohere, Paskett); City of Hope, Duarte, California (Gray); The Translational Genomics Research Institute, Phoenix, Arizona (Trent); Broad Institute to Broad Institute of MIT and Harvard and Count Me In, Cambridge, Massachusetts (Painter, Wagle); University of New Mexico Comprehensive Cancer Center and Health Sciences Center, Albuquerque (Kano, Mishra, Willman, Sussman); Black Hills Center for American Indian Health, Rapid City, South Dakota (Nez Henderson, Henderson); Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota (Willman)
| | - Corrie A Painter
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts (Rebbeck); Dana-Farber Cancer Institute, Boston, Massachusetts (Rebbeck, Mack, George, Wagle); The Ohio State University, Columbus, Ohio (Bridges, Crossnohere, Paskett); City of Hope, Duarte, California (Gray); The Translational Genomics Research Institute, Phoenix, Arizona (Trent); Broad Institute to Broad Institute of MIT and Harvard and Count Me In, Cambridge, Massachusetts (Painter, Wagle); University of New Mexico Comprehensive Cancer Center and Health Sciences Center, Albuquerque (Kano, Mishra, Willman, Sussman); Black Hills Center for American Indian Health, Rapid City, South Dakota (Nez Henderson, Henderson); Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota (Willman)
| | - Nikhil Wagle
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts (Rebbeck); Dana-Farber Cancer Institute, Boston, Massachusetts (Rebbeck, Mack, George, Wagle); The Ohio State University, Columbus, Ohio (Bridges, Crossnohere, Paskett); City of Hope, Duarte, California (Gray); The Translational Genomics Research Institute, Phoenix, Arizona (Trent); Broad Institute to Broad Institute of MIT and Harvard and Count Me In, Cambridge, Massachusetts (Painter, Wagle); University of New Mexico Comprehensive Cancer Center and Health Sciences Center, Albuquerque (Kano, Mishra, Willman, Sussman); Black Hills Center for American Indian Health, Rapid City, South Dakota (Nez Henderson, Henderson); Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota (Willman)
| | - Miria Kano
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts (Rebbeck); Dana-Farber Cancer Institute, Boston, Massachusetts (Rebbeck, Mack, George, Wagle); The Ohio State University, Columbus, Ohio (Bridges, Crossnohere, Paskett); City of Hope, Duarte, California (Gray); The Translational Genomics Research Institute, Phoenix, Arizona (Trent); Broad Institute to Broad Institute of MIT and Harvard and Count Me In, Cambridge, Massachusetts (Painter, Wagle); University of New Mexico Comprehensive Cancer Center and Health Sciences Center, Albuquerque (Kano, Mishra, Willman, Sussman); Black Hills Center for American Indian Health, Rapid City, South Dakota (Nez Henderson, Henderson); Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota (Willman)
| | - Patricia Nez Henderson
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts (Rebbeck); Dana-Farber Cancer Institute, Boston, Massachusetts (Rebbeck, Mack, George, Wagle); The Ohio State University, Columbus, Ohio (Bridges, Crossnohere, Paskett); City of Hope, Duarte, California (Gray); The Translational Genomics Research Institute, Phoenix, Arizona (Trent); Broad Institute to Broad Institute of MIT and Harvard and Count Me In, Cambridge, Massachusetts (Painter, Wagle); University of New Mexico Comprehensive Cancer Center and Health Sciences Center, Albuquerque (Kano, Mishra, Willman, Sussman); Black Hills Center for American Indian Health, Rapid City, South Dakota (Nez Henderson, Henderson); Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota (Willman)
| | - Jeffrey A Henderson
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts (Rebbeck); Dana-Farber Cancer Institute, Boston, Massachusetts (Rebbeck, Mack, George, Wagle); The Ohio State University, Columbus, Ohio (Bridges, Crossnohere, Paskett); City of Hope, Duarte, California (Gray); The Translational Genomics Research Institute, Phoenix, Arizona (Trent); Broad Institute to Broad Institute of MIT and Harvard and Count Me In, Cambridge, Massachusetts (Painter, Wagle); University of New Mexico Comprehensive Cancer Center and Health Sciences Center, Albuquerque (Kano, Mishra, Willman, Sussman); Black Hills Center for American Indian Health, Rapid City, South Dakota (Nez Henderson, Henderson); Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota (Willman)
| | - Shiraz I Mishra
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts (Rebbeck); Dana-Farber Cancer Institute, Boston, Massachusetts (Rebbeck, Mack, George, Wagle); The Ohio State University, Columbus, Ohio (Bridges, Crossnohere, Paskett); City of Hope, Duarte, California (Gray); The Translational Genomics Research Institute, Phoenix, Arizona (Trent); Broad Institute to Broad Institute of MIT and Harvard and Count Me In, Cambridge, Massachusetts (Painter, Wagle); University of New Mexico Comprehensive Cancer Center and Health Sciences Center, Albuquerque (Kano, Mishra, Willman, Sussman); Black Hills Center for American Indian Health, Rapid City, South Dakota (Nez Henderson, Henderson); Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota (Willman)
| | - Cheryl L Willman
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts (Rebbeck); Dana-Farber Cancer Institute, Boston, Massachusetts (Rebbeck, Mack, George, Wagle); The Ohio State University, Columbus, Ohio (Bridges, Crossnohere, Paskett); City of Hope, Duarte, California (Gray); The Translational Genomics Research Institute, Phoenix, Arizona (Trent); Broad Institute to Broad Institute of MIT and Harvard and Count Me In, Cambridge, Massachusetts (Painter, Wagle); University of New Mexico Comprehensive Cancer Center and Health Sciences Center, Albuquerque (Kano, Mishra, Willman, Sussman); Black Hills Center for American Indian Health, Rapid City, South Dakota (Nez Henderson, Henderson); Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota (Willman)
| | - Andrew L Sussman
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts (Rebbeck); Dana-Farber Cancer Institute, Boston, Massachusetts (Rebbeck, Mack, George, Wagle); The Ohio State University, Columbus, Ohio (Bridges, Crossnohere, Paskett); City of Hope, Duarte, California (Gray); The Translational Genomics Research Institute, Phoenix, Arizona (Trent); Broad Institute to Broad Institute of MIT and Harvard and Count Me In, Cambridge, Massachusetts (Painter, Wagle); University of New Mexico Comprehensive Cancer Center and Health Sciences Center, Albuquerque (Kano, Mishra, Willman, Sussman); Black Hills Center for American Indian Health, Rapid City, South Dakota (Nez Henderson, Henderson); Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota (Willman)
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8
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Abstract
Since the completion of the Human Genome Project, considerable progress has been made in translating knowledge about the genetic basis of disease risk and treatment response into clinical services and public health interventions that have greater precision. It is anticipated that more precision approaches to early detection, prevention, and treatment will be developed and will enhance equity in healthcare and outcomes among disparity populations. Reduced access to genomic medicine research, clinical services, and public health interventions has the potential to exacerbate disparities in genomic medicine. The purpose of this article is to describe these challenges to equity in genomic medicine and identify opportunities and future directions for addressing these issues. Efforts are needed to enhance access to genomic medicine research, clinical services, and public health interventions, and additional research that examines the clinical utility of precision medicine among disparity populations should be prioritized to ensure equity in genomic medicine. Expected final online publication date for the Annual Review of Genomics and Human Genetics, Volume 23 is October 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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Affiliation(s)
- Chanita Hughes Halbert
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA; .,Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California, USA
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9
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Schwartz TS, Christensen KD, Uveges MK, Waisbren SE, McGuire AL, Pereira S, Robinson JO, Beggs AH, Green RC, Bachmann GA, Rabson AB, Holm IA. Effects of participation in a U.S. trial of newborn genomic sequencing on parents at risk for depression. J Genet Couns 2022; 31:218-229. [PMID: 34309124 PMCID: PMC8789951 DOI: 10.1002/jgc4.1475] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Revised: 06/15/2021] [Accepted: 06/27/2021] [Indexed: 02/03/2023]
Abstract
Much emphasis has been placed on participant's psychological safety within genomic research studies; however, few studies have addressed parental psychological health effects associated with their child's participation in genomic studies, particularly when parents meet the threshold for clinical concern for depression. We aimed to determine if parents' depressive symptoms were associated with their child's participation in a randomized-controlled trial of newborn exome sequencing. Parents completed the Edinburgh Postnatal Depression Scale (EPDS) at baseline, immediately post-disclosure, and 3 months post-disclosure. Mothers and fathers scoring at or above thresholds for clinical concern on the EPDS, 12 and 10, respectively, indicating possible Major Depressive Disorder with Peripartum Onset, were contacted by study staff for mental health screening. Parental concerns identified in follow-up conversations were coded for themes. Forty-five parents had EPDS scores above the clinical threshold at baseline, which decreased by an average of 2.9 points immediately post-disclosure and another 1.1 points 3 months post-disclosure (both p ≤ .014). For 28 parents, EPDS scores were below the threshold for clinical concern at baseline, increased by an average of 4.7 points into the elevated range immediately post-disclosure, and decreased by 3.8 points at 3 months post-disclosure (both p < .001). Nine parents scored above thresholds only at 3 months post-disclosure after increasing an average of 5.7 points from immediately post-disclosure (p < .001). Of the 82 parents who scored above the threshold at any time point, 43 (52.4%) were reached and 30 (69.7%) of these 43 parents attributed their elevated scores to parenting stress, balancing work and family responsibilities, and/or child health concerns. Only three parents (7.0%) raised concerns about their participation in the trial, particularly their randomization to the control arm. Elevated scores on the EPDS were typically transient and parents attributed their symptomatology to life stressors in the postpartum period rather than participation in a trial of newborn exome sequencing.
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Affiliation(s)
- Talia S Schwartz
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, Massachusetts, USA.,The Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, Massachusetts, USA.,Rutgers Robert Wood Johnson Medical School, Piscataway, New Jersey, USA
| | - Kurt D Christensen
- PRecisiOn Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.,The Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
| | - Melissa K Uveges
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.,Connell School of Nursing, Boston College, Chestnut Hill, Massachusetts, USA
| | - Susan E Waisbren
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
| | - Amy L McGuire
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, Texas, USA
| | - Stacey Pereira
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, Texas, USA
| | - Jill O Robinson
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, Texas, USA
| | - Alan H Beggs
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, Massachusetts, USA.,The Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
| | - Robert C Green
- The Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA.,Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | | | - Gloria A Bachmann
- Rutgers Robert Wood Johnson Medical School, Piscataway, New Jersey, USA
| | - Arnold B Rabson
- Rutgers Robert Wood Johnson Medical School, Piscataway, New Jersey, USA
| | - Ingrid A Holm
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, Massachusetts, USA.,The Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
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10
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Law WK, Yaremych HE, Ferrer RA, Richardson E, Wu YP, Turbitt E. Decision-making about genetic health information among family dyads: a systematic literature review. Health Psychol Rev 2021; 16:412-429. [PMID: 34546151 DOI: 10.1080/17437199.2021.1980083] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Decisions involving two individuals (i.e., dyadic decision-making) have been increasingly studied in healthcare research. There is evidence of bi-directional influences in decision-making processes among spousal, provider-patient and parent-child dyads. Genetic information can directly impact biologically related individuals. Thus, it is important to understand dyadic decision-making about genetic health information among family members. This systematic literature review aimed to identify literature examining decision-making among family dyads. Peer-reviewed publications were included if they reported quantitative empirical research on dyadic decision-making about genetic information, published between January 1998 and August 2020 and written in English. The search was conducted in 6 databases and returned 3167 articles, of which 15 met the inclusion criteria. Most studies were in the context of cancer genetic testing (n = 8) or reproductive testing or screening (n = 5). Studies reported two broad categories of decisions with dyadic influence: undergoing screening or testing (n = 10) and sharing information with family (n = 5). Factors were correlated between dyads such as attitudes, knowledge, behaviors and psychological wellbeing. Emerging evidence shows that dyad members influence each other when making decisions about receiving or sharing genetic information. Our findings emphasize the importance of considering both members of a dyad in intervention design and clinical interactions.
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Affiliation(s)
- Wai Ki Law
- The Discipline of Genetic Counselling, The University of Technology Sydney, Ultimo, Australia
| | - Haley E Yaremych
- Department of Psychology & Human Development, Vanderbilt University, Nashville, TN, USA.,Social and Behavioral Research Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | - Rebecca A Ferrer
- Basic Biobehavioral and Psychological Sciences Branch, National Cancer Institute, Bethesda, MD, USA
| | - Ebony Richardson
- The Discipline of Genetic Counselling, The University of Technology Sydney, Ultimo, Australia
| | - Yelena P Wu
- Department of Dermatology, University of Utah, Salt Lake City, UT, USA.,Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Erin Turbitt
- The Discipline of Genetic Counselling, The University of Technology Sydney, Ultimo, Australia.,Social and Behavioral Research Branch, National Human Genome Research Institute, Bethesda, MD, USA
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11
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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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12
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Umstead KL, Han PKJ, Lewis KL, Miller IM, Hepler CL, Thompson LJ, Wolfsberg TG, Nguyen AD, Fredriksen MT, Gibney G, Turbitt E, Biesecker LG, Biesecker BB. Perceptions of uncertainties about carrier results identified by exome sequencing in a randomized controlled trial. Transl Behav Med 2021; 10:441-450. [PMID: 31505002 DOI: 10.1093/tbm/ibz111] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
How individuals perceive uncertainties in sequencing results may affect their clinical utility. The purpose of this study was to explore perceptions of uncertainties in carrier results and how they relate to psychological well-being and health behavior. Post-reproductive adults (N = 462) were randomized to receive carrier results from sequencing through either a web platform or a genetic counselor. On average, participants received two results. Group differences in affective, evaluative, and clinical uncertainties were assessed from baseline to 1 and 6 months; associations with test-specific distress and communication of results were assessed at 6 months. Reductions in affective uncertainty (∆x̅ = 0.78, 95% CI: 0.53, 1.02) and evaluative uncertainty (∆x̅ = 0.69, 95% CI: 0.51, 0.87) followed receipt of results regardless of randomization arm at 1 month. Participants in the web platform arm reported greater clinical uncertainty than those in the genetic counselor arm at 1 and 6 months; this was corroborated by the 1,230 questions asked of the genetic counselor and residual questions reported by those randomized to the web platform. Evaluative uncertainty was associated with a lower likelihood of communicating results to health care providers. Clinical uncertainty was associated with a lower likelihood of communicating results to children. Learning one's carrier results may reduce perceptions of uncertainties, though web-based return may lead to less reduction in clinical uncertainty in the short term. These findings warrant reinforcement of clinical implications to minimize residual questions and promote appropriate health behavior (communicating results to at-risk relatives in the case of carrier results), especially when testing alternative delivery models.
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Affiliation(s)
- Kendall L Umstead
- Social and Behavioral Research Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | - Paul K J Han
- Center for Outcomes Research and Evaluation, Maine Medical Center Research Institute, Scarborough, ME, USA
| | - Katie L Lewis
- Medical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | - Ilana M Miller
- Medical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | - Charlotte L Hepler
- Social and Behavioral Research Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | - Lydia J Thompson
- Social and Behavioral Research Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | - Tyra G Wolfsberg
- Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | - Anh-Dao Nguyen
- Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | - Mark T Fredriksen
- Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | - Gretchen Gibney
- Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | - Erin Turbitt
- Social and Behavioral Research Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | - Leslie G Biesecker
- Medical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | - Barbara B Biesecker
- Social and Behavioral Research Branch, National Human Genome Research Institute, Bethesda, MD, USA
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13
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Chandrasekar T, Kelly WK, Gomella LG. Overview of Prostate Cancer Genetic Testing. Urol Clin North Am 2021; 48:279-282. [PMID: 34210484 DOI: 10.1016/j.ucl.2021.04.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Affiliation(s)
- Thenappan Chandrasekar
- Department of Urology, Sidney Kimmel Cancer Center, Thomas Jefferson University, 1025 Walnut Street, Suite 1100, Philadelphia, PA 19107, USA.
| | - William K Kelly
- Medical Oncology and Urology, Division of Solid Tumor Oncology, Department of Medical Oncology, Sidney Kimmel Medical College, Thomas Jefferson University, Sidney Kimmel Cancer Center, 1025 Walnut Street, Suite 700, Philadelphia, PA 19107, USA
| | - Leonard G Gomella
- Department of Urology, Thomas Jefferson University and Hospital, Sidney Kimmel Cancer Center, Thomas Jefferson University, 1025 Walnut Street, Suite 1100, Philadelphia, PA 19107, USA. https://twitter.com/LeonardGomella
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14
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Population Genomic Screening for Genetic Etiologies of Neurodevelopmental/Psychiatric Disorders Demonstrates Personal Utility and Positive Participant Responses. J Pers Med 2021; 11:jpm11050365. [PMID: 34062946 PMCID: PMC8147408 DOI: 10.3390/jpm11050365] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 04/26/2021] [Accepted: 04/28/2021] [Indexed: 12/12/2022] Open
Abstract
Genomic variants that cause neurodevelopmental/psychiatric disorders (NPD) are relatively prevalent and highly penetrant. This study aimed to understand adults’ immediate responses to receiving NPD-related results to inform inclusion in population-based genomic screening programs. Nine recurrent, pathogenic copy number variants (CNVs) were identified from research exome data, clinically confirmed, and disclosed to adult participants of the Geisinger MyCode Community Health Initiative DiscovEHR cohort by experienced genetic counselors. A subset of in-person genetic counseling sessions (n = 27) were audio-recorded, transcribed, and coded using a grounded theory approach. Participant reactions were overwhelmingly positive and indicated that an NPD genetic etiology was highly valuable and personally useful. Participants frequently reported learning disabilities or other NPD that were not documented in their electronic health records and noted difficulties obtaining support for NPD needs. Most intended to share their genetic result with family members and health care providers and were interested in how their result could improve their healthcare. This study indicates that results from population-based NPD genomic screening can provide personal value for adults with NPD, were viewed positively by participants, and could improve clinical outcomes by informing symptom monitoring for NPD and co-morbidities, promoting improved health behaviors, and enhancing psychotherapeutic approaches.
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15
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Smith HS, McGuire AL, Wittenberg E, Lavelle TA. Family-level impact of genetic testing: integrating health economics and ethical, legal, and social implications. Per Med 2021; 18:209-212. [PMID: 33728981 DOI: 10.2217/pme-2021-0016] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Tweetable abstract Health economics and ELSI can be better integrated to consider the family impacts of genetic and genomic testing.
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Affiliation(s)
- Hadley Stevens Smith
- Center for Medical Ethics & Health Policy, Baylor College of Medicine, Houston, TX 77030, USA
| | - Amy L McGuire
- Center for Medical Ethics & Health Policy, Baylor College of Medicine, Houston, TX 77030, USA
| | - Eve Wittenberg
- Center for Health Decision Science, Harvard TH Chan School of Public Health, Boston, MA 02115, USA
| | - Tara A Lavelle
- Center for the Evaluation of Value & Risk in Health (CEVR), Institute for Clinical Research & Health Policy Studies, Tufts Medical Center, Boston, MA 02111, USA
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16
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Leitsalu L, Palover M, Sikka TT, Reigo A, Kals M, Pärn K, Nikopensius T, Esko T, Metspalu A, Padrik P, Tõnisson N. Genotype-first approach to the detection of hereditary breast and ovarian cancer risk, and effects of risk disclosure to biobank participants. Eur J Hum Genet 2021; 29:471-481. [PMID: 33230308 PMCID: PMC7940387 DOI: 10.1038/s41431-020-00760-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 10/08/2020] [Accepted: 10/20/2020] [Indexed: 02/06/2023] Open
Abstract
Genotype-first approach allows to systematically identify carriers of pathogenic variants in BRCA1/2 genes conferring a high risk of familial breast and ovarian cancer. Participants of the Estonian biobank have expressed support for the disclosure of clinically significant findings. With an Estonian biobank cohort, we applied a genotype-first approach, contacted carriers, and offered return of results with genetic counseling. We evaluated participants' responses to and the clinical utility of the reporting of actionable genetic findings. Twenty-two of 40 contacted carriers of 17 pathogenic BRCA1/2 variants responded and chose to receive results. Eight of these 22 participants qualified for high-risk assessment based on National Comprehensive Cancer Network criteria. Twenty of 21 counseled participants appreciated being contacted. Relatives of 10 participants underwent cascade screening. Five of 16 eligible female BRCA1/2 variant carriers chose to undergo risk-reducing surgery, and 10 adhered to surveillance recommendations over the 30-month follow-up period. We recommend the return of results to population-based biobank participants; this approach could be viewed as a model for population-wide genetic testing. The genotype-first approach permits the identification of individuals at high risk who would not be identified by application of an approach based on personal and family histories only.
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Affiliation(s)
- Liis Leitsalu
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Marili Palover
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
- Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
| | - Timo Tõnis Sikka
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
- Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
| | - Anu Reigo
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Mart Kals
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Kalle Pärn
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Tiit Nikopensius
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Tõnu Esko
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Andres Metspalu
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
- Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
| | - Peeter Padrik
- Hematology and Oncology Clinic, Tartu University Hospital, Tartu, Estonia
- Institute of Clinical Medicine, University of Tartu, Tartu, Estonia
| | - Neeme Tõnisson
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia.
- Dept. of Clinical Genetics, United Laboratories, Tartu University Hospital, Tartu, Estonia.
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17
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Martin CL, Wain KE, Oetjens MT, Tolwinski K, Palen E, Hare-Harris A, Habegger L, Maxwell EK, Reid JG, Walsh LK, Myers SM, Ledbetter DH. Identification of Neuropsychiatric Copy Number Variants in a Health Care System Population. JAMA Psychiatry 2020; 77:1276-1285. [PMID: 32697297 PMCID: PMC7376464 DOI: 10.1001/jamapsychiatry.2020.2159] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
IMPORTANCE Population screening for medically relevant genomic variants that cause diseases such as hereditary cancer and cardiovascular disorders is increasing to facilitate early disease detection or prevention. Neuropsychiatric disorders (NPDs) are common, complex disorders with clear genetic causes; yet, access to genetic diagnosis is limited. We explored whether inclusion of NPD in population-based genomic screening programs is warranted by assessing 3 key factors: prevalence, penetrance, and personal utility. OBJECTIVE To evaluate the suitability of including pathogenic copy number variants (CNVs) associated with NPD in population screening by determining their prevalence and penetrance and exploring the personal utility of disclosing results. DESIGN, SETTING, AND PARTICIPANTS In this cohort study, the frequency of 31 NPD CNVs was determined in patient-participants via exome data. Associated clinical phenotypes were assessed using linked electronic health records. Nine CNVs were selected for disclosure by licensed genetic counselors, and participants' psychosocial reactions were evaluated using a mixed-methods approach. A primarily adult population receiving medical care at Geisinger, a large integrated health care system in the United States with the only population-based genomic screening program approved for medically relevant results disclosure, was included. The cohort was identified from the Geisinger MyCode Community Health Initiative. Exome and linked electronic health record data were available for this cohort, which was recruited from February 2007 to April 2017. Data were collected for the qualitative analysis April 2017 through February 2018. Analysis began February 2018 and ended December 2019. MAIN OUTCOMES AND MEASURES The planned outcomes of this study include (1) prevalence estimate of NPD-associated CNVs in an unselected health care system population; (2) penetrance estimate of NPD diagnoses in CNV-positive individuals; and (3) qualitative themes that describe participants' responses to receiving NPD-associated genomic results. RESULTS Of 90 595 participants with CNV data, a pathogenic CNV was identified in 708 (0.8%; 436 women [61.6%]; mean [SD] age, 50.04 [18.74] years). Seventy percent (n = 494) had at least 1 associated clinical symptom. Of these, 28.8% (204) of CNV-positive individuals had an NPD code in their electronic health record, compared with 13.3% (11 835 of 89 887) of CNV-negative individuals (odds ratio, 2.21; 95% CI, 1.86-2.61; P < .001); 66.4% (470) of CNV-positive individuals had a history of depression and anxiety compared with 54.6% (49 118 of 89 887) of CNV-negative individuals (odds ratio, 1.53; 95% CI, 1.31-1.80; P < .001). 16p13.11 (71 [0.078%]) and 22q11.2 (108 [0.119%]) were the most prevalent deletions and duplications, respectively. Only 5.8% of individuals (41 of 708) had a previously known genetic diagnosis. Results disclosure was completed for 141 individuals. Positive participant responses included poignant reactions to learning a medical reason for lifelong cognitive and psychiatric disabilities. CONCLUSIONS AND RELEVANCE This study informs critical factors central to the development of population-based genomic screening programs and supports the inclusion of NPD in future designs to promote equitable access to clinically useful genomic information.
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Affiliation(s)
- Christa Lese Martin
- Autism & Developmental Medicine Institute, Geisinger, Danville, Pennsylvania
| | - Karen E. Wain
- Autism & Developmental Medicine Institute, Geisinger, Danville, Pennsylvania
| | - Matthew T. Oetjens
- Autism & Developmental Medicine Institute, Geisinger, Danville, Pennsylvania
| | - Kasia Tolwinski
- Autism & Developmental Medicine Institute, Geisinger, Danville, Pennsylvania,Biomedical Ethics Unit, McGill University, Montreal, Quebec, Canada
| | - Emily Palen
- Autism & Developmental Medicine Institute, Geisinger, Danville, Pennsylvania
| | | | | | | | | | | | - Scott M. Myers
- Autism & Developmental Medicine Institute, Geisinger, Danville, Pennsylvania
| | - David H. Ledbetter
- Autism & Developmental Medicine Institute, Geisinger, Danville, Pennsylvania
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18
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Underhill-Blazey M, Blonquist T, Chittenden A, Pozzar R, Nayak M, Lansang K, Hong F, Garber J, Stopfer JE. Informing models of cancer genetics care in the era of multigene panel testing with patient-led recommendations. J Genet Couns 2020; 30:268-282. [PMID: 32851753 DOI: 10.1002/jgc4.1317] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Revised: 07/15/2020] [Accepted: 07/17/2020] [Indexed: 12/23/2022]
Abstract
The study describes patient-reported experiences and recommendations to improve the genetic counseling and multigene panel testing (MGPT) process. A descriptive mixed-method study with concurrently collected and integrated qualitative and quantitative data was conducted. Eligible participants were English-speaking adults with a breast or gynecologic cancer diagnosis who had received genetic counseling and testing with a MGPT from one Comprehensive Cancer Center. Satisfaction with the genetic counseling, genetic knowledge using a recently validated scale (KnowGene), the multidimensional impact of cancer risk assessment (MICRA), family communication, and the association with demographic factors were evaluated. To supplement the large quantitative data set, qualitative focus group responses and open-ended text items were collected. Univariate and multivariable associations between each outcome of interest and personal characteristics were assessed. Qualitative data were content-analyzed. 603 participants completed the survey (48% response rate) and 10 individuals participated in the focus groups. Participants were mostly Caucasian, educated with a college degree or more, and female with median age 58 (24-91), and 78% of participants had a breast cancer diagnosis. Of all individuals undergoing genetic testing using a MGPT, 13% had a pathogenic variant identified, and 30% had a variant of uncertain significance (VUS). Overall, participants reported satisfaction with the genetic counseling and testing process (mean 36.9 [SD 4.7]). On average, participants had 7 incorrect answers out of 19 on the genetic knowledge scale (mean 12.3 [SD 3.4]). MICRA scores showed overall low levels of distress and uncertainty, as well as positive experiences, with wide variability (median 17 [0-84]). Age, marital status, education level, type of cancer diagnosis, and genetic testing results were significantly associated with outcomes. Most participants communicated genetic testing results to mainly female first-degree relatives. A wide range of individual preferences affecting overall satisfaction, or suggestions for improvement were shared. As new models of streamlined cancer genetic services are being clinically implemented, approaches should continue to assess and tailor the process based on patients' informational and emotional needs.
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Affiliation(s)
- Meghan Underhill-Blazey
- Phyllis F. Cantor Center for Research in Nursing and Patient Care Services, Dana-Farber Cancer Institute, Boston, MA, USA.,School of Nursing, University of Rochester, Rochester, NY, USA
| | - Traci Blonquist
- Phyllis F. Cantor Center for Research in Nursing and Patient Care Services, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Anu Chittenden
- Cancer Genetics and Prevention Program, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Rachel Pozzar
- Phyllis F. Cantor Center for Research in Nursing and Patient Care Services, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Manan Nayak
- Phyllis F. Cantor Center for Research in Nursing and Patient Care Services, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Kristina Lansang
- Phyllis F. Cantor Center for Research in Nursing and Patient Care Services, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Fangxin Hong
- Phyllis F. Cantor Center for Research in Nursing and Patient Care Services, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Judy Garber
- Cancer Genetics and Prevention Program, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Jill E Stopfer
- Cancer Genetics and Prevention Program, Dana-Farber Cancer Institute, Boston, MA, USA
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19
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Impacts of personal DNA ancestry testing. J Community Genet 2020; 12:37-52. [PMID: 32789669 DOI: 10.1007/s12687-020-00481-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Accepted: 07/29/2020] [Indexed: 11/27/2022] Open
Abstract
Consumer uptake of direct-to-consumer (DTC) DNA ancestry testing is accelerating, yet few empirical studies have examined test impacts on recipients despite the DTC ancestry industry being two decades old. Participants in a longitudinal cohort study of response to health-related DTC genomic testing also received personal DNA ancestry testing at no additional cost. Baseline survey data from the primary study were analyzed together with responses to an additional follow-up survey focused on the response to ancestry results. Ancestry results were generated for 3466 individuals. Of those, 1317 accessed their results, and 322 individuals completed an ancestry response survey, in other words, approximately one in ten who received ancestry testing responded to the survey. Self-reported race/ethnicity was predictive of those most likely to view their results. While 46% of survey responders (N = 147) reported their ancestry results as surprising or unexpected, less than 1% (N = 3) were distressed by them. Importantly, however, 21% (N = 67) reported that their results reshaped their personal identity. Most (81%; N = 260) planned to share results with family, and 12% (N = 39) intended to share results with a healthcare provider. Many (61%; N = 196) reported test benefits (e.g., health insights), while 12% (N = 38) reported negative aspects (e.g., lack of utility). Over half (N = 162) reported being more likely to have other genetic tests in the future. DNA ancestry testing affected individuals with respect to personal identity, intentions to share genetic information with family and healthcare providers, and the likelihood to engage with other genetic tests in the future. These findings have implications for medical care and research, specifically, provider readiness to engage with genetic ancestry information.
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20
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Reid AE, Ferrer RA, Kadirvel S, Biesecker BB, Lewis KL, Biesecker LG, Klein WMP. Roles of attitudes and injunctive norms in decisional conflict and disclosure following receipt of genome sequencing results. Soc Sci Med 2020; 262:113147. [PMID: 32624263 DOI: 10.1016/j.socscimed.2020.113147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Revised: 05/05/2020] [Accepted: 06/13/2020] [Indexed: 10/24/2022]
Abstract
RATIONALE Individuals who choose to obtain genetic information may learn that their genetic profile confers health risks to themselves or offspring. Individuals may react more negatively to this information when personal attitudes, perceived norms, and/or the decision to receive results conflict with one another. OBJECTIVE We predicted that holding more negative attitudes (personal evaluations) or injunctive norms (perceptions of others' approval) toward obtaining genetic test results would prospectively predict greater conflict about the decision to undergo sequencing and less disclosure of sequencing results to family members. We also expected attitudes and norms to interact, such that attitudes would be negatively associated with decisional conflict and positively associated with disclosure when injunctive norms were positive, but weakly associated with outcomes when injunctive norms were negative. METHOD Participants (N=312) were enrolled in a genomic sequencing trial focused on identifying carrier genetic variants, reflecting a variant that might affect their biological children's or grandchildren's health. Participants reported attitudes and injunctive norms, underwent sequencing, and later received results indicating carrier status for at least one variant. Decisional conflict was assessed at immediate post-test, and 1- and 6-month follow-ups. Disclosure of results to children and siblings were assessed at 1 and 6 months. RESULTS In structural equation models with covariates, attitudes were negatively associated with post-test and 1-month decisional conflict. Injunctive norms were negatively associated with decisional conflict at 1 and 6 months and positively associated with disclosure to children and siblings at 1 month. The significant attitudes by injunctive norms interaction predicting post-test decisional conflict supported lower decisional conflict when attitudes, norms, and the decision to receive results were all aligned. Exploratory analyses supported indirect effects of attitudes and norms on 6-month sibling disclosure via 1- month decisional conflict. CONCLUSION Results support roles of psychosocial factors in decisional conflict and disclosure after receiving sequencing results.
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Affiliation(s)
- Allecia E Reid
- Department of Psychological and Brain Sciences, University of Massachusetts, Amherst, USA.
| | | | - Sanjana Kadirvel
- Department of Psychological and Brain Sciences, University of Massachusetts, Amherst, USA
| | | | - Katie L Lewis
- National Human Genome Research Institute, National Institutes of Health, USA
| | - Leslie G Biesecker
- National Human Genome Research Institute, National Institutes of Health, USA
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21
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Abstract
Genomics is being increasingly utilized in medical research and health care. Countless opportunities exist for social and behavioral scientists to answer novel and important research questions. Evidence that will be produced from such enquiries can help ensure appropriate use of genomic information and realize the potential of genomics to improve patient care and medical outcomes. Here, we provide an accessible overview of different types of genetic and genomic tests and the resulting information produced. There are important nuances that distinguish genetic from genomic tests and different information that each yield. We outline key examples where social and behavioral scientists have made an impact in this field, and opportunities for future research. The intention of this primer is to introduce or clarify genomics concepts to social and behavioral scientists, summarize prior research and outline future research directions. The time is ripe for social and behavioral scientists to engage in genomics and make important contributions to improve clinical and community translation of genomic discoveries.
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Affiliation(s)
- Erin Turbitt
- Bioethics Core, National Human Genome Research Institute, Bethesda, MD, USA
- Discipline of Genetic Counselling, Graduate School of Health, University of Technology Sydney, Ultimo, NSW, Australia
| | - Barbara B Biesecker
- Education and Workforce Development division, RTI International, Washington, DC, USA
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22
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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: 15] [Impact Index Per Article: 3.8] [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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23
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Biffi A, Murphy MP, Kubiszewski P, Kourkoulis C, Schwab K, Gurol ME, Greenberg SM, Viswanathan A, Anderson CD, Rosand J. APOE genotype, hypertension severity and outcomes after intracerebral haemorrhage. Brain Commun 2019; 1:fcz018. [PMID: 32954261 PMCID: PMC7425529 DOI: 10.1093/braincomms/fcz018] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Revised: 08/20/2019] [Accepted: 08/22/2019] [Indexed: 12/21/2022] Open
Abstract
Intracerebral haemorrhage in the elderly is a severe manifestation of common forms of cerebral small vessel disease. Nearly 60% of intracerebral haemorrhage survivors will develop clinical manifestations of small vessel disease progression including recurrent haemorrhage, ischaemic stroke, dementia, late-life depression and gait impairment within 5 years. Blood pressure measurements following intracerebral haemorrhage are strongly associated with this risk. However, aggressive blood pressure lowering in the elderly carries substantial risks. In order to determine whether there might be an opportunity to select individuals at the highest risk for small vessel disease progression for aggressive blood pressure reduction, we investigated whether APOE gene variants ɛ2/ɛ4 modify the association between blood pressure and small vessel disease clinical progression after intracerebral haemorrhage. We conducted a single-centre longitudinal study at a tertiary care referral centre (Massachusetts General Hospital in Boston, MA, USA), analysing 716 consecutive survivors of acute intracerebral haemorrhage, enrolled from January 2006 to December 2016. We conducted research interviews at the time of enrolment and obtained APOE genotypes from peripheral venous blood samples. We followed patients longitudinally by means of validated phone-based research encounters, aimed at gathering measurements of systolic and diastolic blood pressure, as well as information on small vessel disease clinical outcomes (including recurrent haemorrhage, incident ischaemic stroke, incident dementia, incident depression and incident gait impairment). APOE ε4 and systolic blood pressure were associated with the risk of recurrent haemorrhage, ischaemic stroke and post-haemorrhage dementia, depression and gait impairment (all P < 0.05). APOE ε4 and systolic blood pressure interacted to increase the risk of recurrent haemorrhage, ischaemic stroke, dementia and gait impairment (all interaction P < 0.05). Among patients with elevated blood pressure following intracerebral haemorrhage (average systolic blood pressure 120–129 mmHg and diastolic blood pressure <80 mmHg) only those with one or more APOE ε4 copies were at increased risk for one or more small vessel disease outcomes (hazard ratio = 1.97, 95% confidence interval 1.17–3.31). Among haemorrhage survivors with hypertension (stage 1 and beyond) APOE genotype also stratified risk for all small vessel disease outcomes. In conclusion, APOE genotype modifies the already strong association of hypertension with multiple small vessel disease clinical outcomes among intracerebral haemorrhage survivors. These data raise the possibility that genetic screening could inform blood pressure treatment goals in this patient population.
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Affiliation(s)
- Alessandro Biffi
- Henry and Allison McCance Center for Brain Health, MGH, Boston, MA, USA.,Division of Behavioral Neurology, Department of Neurology, MGH, Boston, MA, USA.,Division of Neuropsychiatry, Department of Psychiatry, MGH, Boston, MA, USA.,Hemorrhagic Stroke Research Program, J. Philip Kistler Stroke Research Center, MGH, Boston, MA, USA.,Center for Genomic Medicine, Massachusetts General Hospital (MGH), Boston, MA, USA
| | - Meredith P Murphy
- Henry and Allison McCance Center for Brain Health, MGH, Boston, MA, USA.,Division of Behavioral Neurology, Department of Neurology, MGH, Boston, MA, USA.,Division of Neuropsychiatry, Department of Psychiatry, MGH, Boston, MA, USA.,Hemorrhagic Stroke Research Program, J. Philip Kistler Stroke Research Center, MGH, Boston, MA, USA.,Center for Genomic Medicine, Massachusetts General Hospital (MGH), Boston, MA, USA
| | - Patryk Kubiszewski
- Henry and Allison McCance Center for Brain Health, MGH, Boston, MA, USA.,Division of Behavioral Neurology, Department of Neurology, MGH, Boston, MA, USA.,Division of Neuropsychiatry, Department of Psychiatry, MGH, Boston, MA, USA.,Hemorrhagic Stroke Research Program, J. Philip Kistler Stroke Research Center, MGH, Boston, MA, USA.,Center for Genomic Medicine, Massachusetts General Hospital (MGH), Boston, MA, USA
| | - Christina Kourkoulis
- Center for Genomic Medicine, Massachusetts General Hospital (MGH), Boston, MA, USA
| | - Kristin Schwab
- Hemorrhagic Stroke Research Program, J. Philip Kistler Stroke Research Center, MGH, Boston, MA, USA
| | - Mahmut Edip Gurol
- Hemorrhagic Stroke Research Program, J. Philip Kistler Stroke Research Center, MGH, Boston, MA, USA
| | - Steven M Greenberg
- Hemorrhagic Stroke Research Program, J. Philip Kistler Stroke Research Center, MGH, Boston, MA, USA
| | - Anand Viswanathan
- Hemorrhagic Stroke Research Program, J. Philip Kistler Stroke Research Center, MGH, Boston, MA, USA
| | - Christopher D Anderson
- Hemorrhagic Stroke Research Program, J. Philip Kistler Stroke Research Center, MGH, Boston, MA, USA.,Center for Genomic Medicine, Massachusetts General Hospital (MGH), Boston, MA, USA.,Division of Neurocritical Care and Emergency Neurology, Department of Neurology, MGH, Boston, MA, USA.,Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Jonathan Rosand
- Henry and Allison McCance Center for Brain Health, MGH, Boston, MA, USA.,Hemorrhagic Stroke Research Program, J. Philip Kistler Stroke Research Center, MGH, Boston, MA, USA.,Center for Genomic Medicine, Massachusetts General Hospital (MGH), Boston, MA, USA.,Division of Neurocritical Care and Emergency Neurology, Department of Neurology, MGH, Boston, MA, USA.,Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
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24
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Peterson JF, Roden DM, Orlando LA, Ramirez AH, Mensah GA, Williams MS. Building evidence and measuring clinical outcomes for genomic medicine. Lancet 2019; 394:604-610. [PMID: 31395443 PMCID: PMC6730663 DOI: 10.1016/s0140-6736(19)31278-4] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2019] [Revised: 04/08/2019] [Accepted: 05/16/2019] [Indexed: 12/13/2022]
Abstract
Human genomic sequencing has potential diagnostic, prognostic, and therapeutic value across a wide breadth of clinical disciplines. One barrier to widespread adoption is the paucity of evidence for improved outcomes in patients who do not already have an indication for more focused testing. In this Series paper, we review clinical outcome studies in genomic medicine and discuss the important features and key challenges to building evidence for next generation sequencing in the context of routine patient care.
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Affiliation(s)
- Josh F Peterson
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
| | - Dan M Roden
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Pharmacology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lori A Orlando
- Center for Applied Genomics and Precision Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Andrea H Ramirez
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - George A Mensah
- Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
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25
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Underhill-Blazey M, Stopfer J, Chittenden A, Nayak MM, Lansang K, Lederman R, Garber J, Gundersen DA. Development and testing of the KnowGene scale to assess general cancer genetic knowledge related to multigene panel testing. PATIENT EDUCATION AND COUNSELING 2019; 102:1558-1564. [PMID: 31010603 DOI: 10.1016/j.pec.2019.04.014] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2018] [Revised: 02/13/2019] [Accepted: 04/12/2019] [Indexed: 06/09/2023]
Abstract
PURPOSE To develop and evaluate a measure of cancer genetics knowledge relevant to multigene panel testing. METHODS The instrument was developed using systematic input from a national panel of genetics experts, acceptability evaluation by patient advocates, and cognitive testing. Twenty-four candidate items were completed by 591 breast or gynecological patients who had undergone genetic counseling and multigene panel testing in the past 18 months. A unidimensional item response theory model was fit with a mix of 2-parameter logistic nested response (2 plnrm) and 2-parameter logistic (2 pl) items. RESULTS Key domains addressing cancer genetics knowledge were found to be overlapping. Of the 24 candidate items, 8 items were removed due to poor discrimination or local dependence. The remaining 16 items had good fit (RMSEA = 0.045, CFI = 0.946) and discrimination parameters ranging from 0.49 to 1.60. The items specified as 2 plnrm distinguish between those answering incorrect versus don't know, with discrimination ranging from 0.51 to 1.02. Information curves were highest among those with lower knowledge. CONCLUSION KnowGene is a rigorously developed and effective measure of knowledge after cancer genetic counseling and multigene panel testing. PRACTICE IMPLICATIONS Measuring knowledge in a systematic way will inform practice and research initiatives in cancer genetics.
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Affiliation(s)
| | - Jill Stopfer
- Dana-Farber Cancer Institute, Brigham and Womens Hospital, Simmons College, United States
| | - Anu Chittenden
- Dana-Farber Cancer Institute, Brigham and Womens Hospital, Simmons College, United States
| | - Manan M Nayak
- Dana-Farber Cancer Institute, Brigham and Womens Hospital, Simmons College, United States
| | - Kristina Lansang
- Dana-Farber Cancer Institute, Brigham and Womens Hospital, Simmons College, United States
| | - Ruth Lederman
- Dana-Farber Cancer Institute, Brigham and Womens Hospital, Simmons College, United States
| | - Judy Garber
- Dana-Farber Cancer Institute, Brigham and Womens Hospital, Simmons College, United States
| | - Daniel A Gundersen
- Dana-Farber Cancer Institute, Brigham and Womens Hospital, Simmons College, United States
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26
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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: 46] [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: 2.6] [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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Park J, Zayhowski K, Newson AJ, Ormond KE. Genetic counselors' perceptions of uncertainty in pretest counseling for genomic sequencing: A qualitative study. J Genet Couns 2019; 28:292-303. [DOI: 10.1002/jgc4.1076] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Revised: 11/19/2018] [Accepted: 11/19/2018] [Indexed: 02/02/2023]
Affiliation(s)
- Jessica Park
- Department of Genetics; Stanford University School of Medicine; Stanford California
| | - Kimberly Zayhowski
- Department of Genetics; Stanford University School of Medicine; Stanford California
| | - Ainsley J. Newson
- Sydney School of Public Health, Faculty of Medicine and Health; The University of Sydney, Sydney Health Ethics; Sydney NSW Australia
| | - Kelly E. Ormond
- Department of Genetics; Stanford University School of Medicine; Stanford California
- Stanford Center for Biomedical Ethics; Stanford University School of Medicine; Stanford California
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Abstract
OBJECTIVE To review ethical, legal, and social implications of genomics, a ground-breaking science that when applied improves cancer care outcomes. DATA SOURCES PubMed, Cumulative Index to Nursing and Allied Health (CINAHL), Cochrane Library, consensus statements, and professional guidelines. CONCLUSION Ethical, legal, and social domains of genomics are not fully delineated. Areas needing further discussion and policies include return of findings, informed consent, electronic health records, and data resources and sharing. IMPLICATIONS FOR NURSING PRACTICE All nurses need a basic understanding of the ethical, legal, and social implications of genomics.
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Rubanovich CK, Cheung C, Torkamani A, Bloss CS. Physician Communication of Genomic Results in a Diagnostic Odyssey Case Series. Pediatrics 2019; 143:S44-S53. [PMID: 30600271 DOI: 10.1542/peds.2018-1099i] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/03/2018] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND AND OBJECTIVES The availability of whole genome sequencing (WGS) is increasing in clinical care, and WGS is a promising tool in diagnostic odyssey cases. Physicians' ability to effectively communicate genomic information with patients, however, is unclear. In this multiperspective study, we assessed physicians' communication of patient genome sequencing information in a diagnostic odyssey case series. METHODS We evaluated physician communication of genome sequencing results in the context of an ongoing study of the utility of WGS for the diagnosis of rare and idiopathic diseases. A modified version of the Medical Communication Competence Scale was used to compare patients' ratings of their physicians' communication of general medical information to communication of genome sequencing information. Physician self-ratings were also compared with patient ratings. RESULTS A total of 47 patients, parents, and physicians across 11 diagnostic odyssey cases participated. In 6 of 11 cases (54%), the patient respondent rated the physician's communication of genome sequencing information as worse than that of general medical information. In 9 of 11 cases (82%), physician self-ratings of communication of genome sequencing information were worse than the patient respondent's rating. Identification of a diagnosis via WGS was positively associated with physician self-ratings (P = .021) but was not associated with patient respondent ratings (P = .959). CONCLUSIONS These findings reveal that even in diagnostic odyssey cases, in which genome sequencing may be clinically beneficial, physicians may not be well-equipped to communicate genomic information to patients. Future studies may benefit from multiperspective approaches to assessing and understanding physician-patient communication of genome-sequencing information.
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Affiliation(s)
- Caryn Kseniya Rubanovich
- San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA
| | | | - Ali Torkamani
- Scripps Genomic Medicine Division, Scripps Translational Science Institute, Scripps Health, La Jolla, CA.,Department of Integrative Structural and Computational Biology, Scripps Research, La Jolla, CA; and
| | - Cinnamon S Bloss
- Department of Family Medicine and Public Health, University of California San Diego, La Jolla, CA
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31
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Precision oncology in the age of integrative genomics. Nat Biotechnol 2018; 36:46-60. [PMID: 29319699 DOI: 10.1038/nbt.4017] [Citation(s) in RCA: 76] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2016] [Accepted: 10/20/2017] [Indexed: 02/08/2023]
Abstract
Precision oncology applies genomic and other molecular analyses of tumor biopsies to improve the diagnosis and treatment of cancers. In addition to identifying therapeutic options, precision oncology tracks the response of a tumor to an intervention at the molecular level and detects drug resistance and the mechanisms by which it occurs. Integrative genomics can include sequencing specific panels of genes, exomes, or the entire triad of the patient's germline, tumor exome, and tumor transcriptome. Although the capabilities of sequencing technologies continue to improve, widespread adoption of genomics-driven precision oncology in the clinic has been held back by logistical, regulatory, financial, and ethical considerations. Nevertheless, integrative clinical sequencing programs applied at the point of care have the potential to improve the clinical management of cancer patients.
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32
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The Feelings About genomiC Testing Results (FACToR) Questionnaire: Development and Preliminary Validation. J Genet Couns 2018; 28:477-490. [PMID: 30964586 DOI: 10.1007/s10897-018-0286-9] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2018] [Accepted: 08/02/2018] [Indexed: 12/16/2022]
Abstract
The purpose of this study was to develop a brief instrument, the Feelings About genomiC Testing Results (FACToR), to measure the psychosocial impact of returning genomic findings to patients in research and clinical practice. To create the FACToR, we modified and augmented the Multidimensional Impact of Cancer Risk Assessment (MICRA) questionnaire based on findings from a literature review, two focus groups (N = 12), and cognitive interviews (N = 6). We evaluated data from 122 participants referred for evaluation for inherited colorectal cancer or polyposis from the New EXome Technology in (NEXT) Medicine Study, an RCT of exome sequencing versus usual care. We assessed floor and ceiling effects of each item, conducted principal component analysis to identify subscales, and evaluated each subscale's internal consistency, test-retest reliability, and construct validity. After excluding items that were ambiguous or demonstrated floor or ceiling effects, 12 items forming four distinct subscales were retained for further analysis: negative emotions, positive feelings, uncertainty, and privacy concerns. All four showed good internal consistency (0.66-0.78) and test-retest reliability (0.65-0.91). The positive feelings and the uncertainty subscales demonstrated known-group validity. The 12-item FACToR with four subscales shows promising psychometric properties on preliminary evaluation in a limited sample and needs to be evaluated in other populations.
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Hull LE, Vassy JL. Toward greater understanding of patient decision-making around genome sequencing. Per Med 2018; 15:57-66. [PMID: 29714114 DOI: 10.2217/pme-2017-0037] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
In the era of next-generation sequencing, it is essential to collect and understand the patient outcomes that result from this new technology. One critical determinant of these is the process by which individuals first decide whether and how to pursue genome sequencing. In this perspective article, we examine the literature on adult patient decision-making in genome sequencing and identify current research gaps to address. Several studies have explored the motivations and concerns of patients undergoing sequencing; less attention has been paid to those who decline sequencing or to individuals from lower socioeconomic groups. Many factors that might play a role in the decision to pursue or decline sequencing, including trust, family dynamics and barriers to access, have yet to be explored fully. Future research that captures the experience of the wider population will produce a more generalizable understanding of the clinical, psychosocial, and economic outcomes of pursuing or declining sequencing.
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Affiliation(s)
- Leland E Hull
- Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, MA, 02130, USA.,Section of General Internal Medicine, VA Boston Healthcare System, Boston, MA, 02130, USA
| | - Jason L Vassy
- Section of General Internal Medicine, VA Boston Healthcare System, Boston, MA, 02130, USA.,Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA.,Division of General Medicine & Primary Care, Brigham & Women's Hospital, Boston, MA, 02115, USA
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Sanderson SC, Loe BS, Freeman M, Gabriel C, Stevenson DC, Gibbons C, Chitty L, Lewis C. Development of the Knowledge of Genome Sequencing (KOGS) questionnaire. PATIENT EDUCATION AND COUNSELING 2018; 101:1966-1972. [PMID: 30031711 DOI: 10.1016/j.pec.2018.07.011] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2018] [Revised: 07/07/2018] [Accepted: 07/11/2018] [Indexed: 06/08/2023]
Abstract
OBJECTIVE Whole-genome sequencing is being implemented in research and clinical care, yet tools to assess patients' knowledge are lacking. Our aim was to develop a robust measure of whole-genome sequencing knowledge suitable for patients and other stakeholders including research participants, public, students, and healthcare professionals. METHODS An initial set of 17 items was developed via an iterative process including literature review, expert consultation, focus groups, and cognitive interviews with patients, and then administered to 243 individuals. We used exploratory factor analysis and item-response theory to confirm the psychometric suitability of the candidate items for assessing whole-genome sequencing knowledge. RESULTS There was a strong main component after removing 5 items with low factor loadings. Item and scale homogeneity was achieved using Mokken scale analysis. Three further items were removed because they were misfits, inverse duplicates or resulted in local dependency. The remaining nine items fitted the two-parameter logistic IRT model which achieved excellent fit to the observed data. Cronbach's alpha was 0.79 indicating acceptable reliability. CONCLUSION The KOGS, developed using a rigorous psychometric approach, is a brief and reliable tool. PRACTICE IMPLICATIONS The KOGS may prove useful for researchers and healthcare professionals using whole-genome sequencing with patients and other stakeholders.
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Affiliation(s)
- Saskia C Sanderson
- North East Thames Regional Genetics Services, Great Ormond Street Hospital, London, UK; UCL Great Ormond Street Institute of Child Health, UK; Department of Behavioural Science and Health, University College London, London, UK.
| | - Bao Sheng Loe
- The Psychometrics Centre, University of Cambridge, Cambridge, UK
| | - Maddie Freeman
- Department of Behavioural Science and Health, University College London, London, UK
| | - Camila Gabriel
- Center for Bioethics, Harvard Medical School, Boston, USA
| | - Danielle C Stevenson
- North East Thames Regional Genetics Services, Great Ormond Street Hospital, London, UK
| | - Chris Gibbons
- Patient Reported Outcomes, Value and Experience (PROVE) Center, Brigham and Women's Hospital, Boston, USA; Department of Surgery, Harvard Medical School, Boston, USA
| | - Lyn Chitty
- North East Thames Regional Genetics Services, Great Ormond Street Hospital, London, UK; UCL Great Ormond Street Institute of Child Health, UK
| | - Celine Lewis
- North East Thames Regional Genetics Services, Great Ormond Street Hospital, London, UK; UCL Great Ormond Street Institute of Child Health, UK
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35
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Christensen KD, Phillips KA, Green RC, Dukhovny D. Cost Analyses of Genomic Sequencing: Lessons Learned from the MedSeq Project. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2018; 21:1054-1061. [PMID: 30224109 PMCID: PMC6444358 DOI: 10.1016/j.jval.2018.06.013] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2018] [Accepted: 06/11/2018] [Indexed: 05/17/2023]
Abstract
OBJECTIVE To summarize lessons learned while analyzing the costs of integrating whole genome sequencing into the care of cardiology and primary care patients in the MedSeq Project by conducting the first randomized controlled trial of whole genome sequencing in general and specialty medicine. METHODS Case study that describes key methodological and data challenges that were encountered or are likely to emerge in future work, describes the pros and cons of approaches considered by the study team, and summarizes the solutions that were implemented. RESULTS Major methodological challenges included defining whole genome sequencing, structuring an appropriate comparator, measuring downstream costs, and examining clinical outcomes. Discussions about solutions addressed conceptual and practical issues that arose because of definitions and analyses around the cost of genomic sequencing in trial-based studies. CONCLUSIONS The MedSeq Project provides an instructive example of how to conduct a cost analysis of whole genome sequencing that feasibly incorporates best practices while being sensitive to the varied applications and diversity of results it may produce. Findings provide guidance for researchers to consider when conducting or analyzing economic analyses of whole genome sequencing and other next-generation sequencing tests, particularly regarding costs.
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Affiliation(s)
- Kurt D Christensen
- Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
| | - Kathryn A Phillips
- Department of Clinical Pharmacy, Center for Translational and Policy Research on Personalized Medicine (TRANSPERS), University of California San Francisco, San Francisco, CA, USA; Philip R. Lee Institute for Health Policy and Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Robert C Green
- Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Partners HealthCare Personalized Medicine, Boston, MA, USA
| | - Dmitry Dukhovny
- Department of Pediatrics, Oregon Health & Science University, Portland, OR, USA
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36
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Reid AE, Taber JM, Ferrer RA, Biesecker BB, Lewis KL, Biesecker LG, Klein WMP. Associations of perceived norms with intentions to learn genomic sequencing results: Roles for attitudes and ambivalence. Health Psychol 2018; 37:553-561. [PMID: 29745680 PMCID: PMC5962407 DOI: 10.1037/hea0000579] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
OBJECTIVE Genomic sequencing is becoming increasingly accessible, highlighting the need to understand the social and psychological factors that drive interest in receiving testing results. These decisions may depend on perceived descriptive norms (how most others behave) and injunctive norms (what is approved of by others). We predicted that descriptive norms would be directly associated with intentions to learn genomic sequencing results, whereas injunctive norms would be associated indirectly, via attitudes. These differential associations with intentions versus attitudes were hypothesized to be strongest when individuals held ambivalent attitudes toward obtaining results. METHOD Participants enrolled in a genomic sequencing trial (n = 372) reported intentions to learn medically actionable, nonmedically actionable, and carrier sequencing results. Descriptive norms items referenced other study participants. Injunctive norms were analyzed separately for close friends and family members. Attitudes, attitudinal ambivalence, and sociodemographic covariates were also assessed. RESULTS In structural equation models, both descriptive norms and friend injunctive norms were associated with intentions to receive all sequencing results (ps < .004). Attitudes consistently mediated all friend injunctive norms-intentions associations, but not the descriptive norms-intentions associations. Attitudinal ambivalence moderated the association between friend injunctive norms (p ≤ .001), but not descriptive norms (p = .16), and attitudes. Injunctive norms were significantly associated with attitudes when ambivalence was high, but were unrelated when ambivalence was low. Results replicated for family injunctive norms. CONCLUSIONS Descriptive and injunctive norms play roles in genomic sequencing decisions. Considering mediators and moderators of these processes enhances ability to optimize use of normative information to support informed decision making. (PsycINFO Database Record
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Affiliation(s)
| | | | | | | | - Katie L. Lewis
- National Human, Research Institute, National Institutes of Health
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37
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Schmidlen T, Sturm AC, Hovick S, Scheinfeldt L, Scott Roberts J, Morr L, McElroy J, Toland AE, Christman M, O'Daniel JM, Gordon ES, Bernhardt BA, Ormond KE, Sweet K. Operationalizing the Reciprocal Engagement Model of Genetic Counseling Practice: a Framework for the Scalable Delivery of Genomic Counseling and Testing. J Genet Couns 2018; 27:1111-1129. [PMID: 29460110 DOI: 10.1007/s10897-018-0230-z] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2017] [Accepted: 02/01/2018] [Indexed: 12/14/2022]
Abstract
With the advent of widespread genomic testing for diagnostic indications and disease risk assessment, there is increased need to optimize genetic counseling services to support the scalable delivery of precision medicine. Here, we describe how we operationalized the reciprocal engagement model of genetic counseling practice to develop a framework of counseling components and strategies for the delivery of genomic results. This framework was constructed based upon qualitative research with patients receiving genomic counseling following online receipt of potentially actionable complex disease and pharmacogenomics reports. Consultation with a transdisciplinary group of investigators, including practicing genetic counselors, was sought to ensure broad scope and applicability of these strategies for use with any large-scale genomic testing effort. We preserve the provision of pre-test education and informed consent as established in Mendelian/single-gene disease genetic counseling practice. Following receipt of genomic results, patients are afforded the opportunity to tailor the counseling agenda by selecting the specific test results they wish to discuss, specifying questions for discussion, and indicating their preference for counseling modality. The genetic counselor uses these patient preferences to set the genomic counseling session and to personalize result communication and risk reduction recommendations. Tailored visual aids and result summary reports divide areas of risk (genetic variant, family history, lifestyle) for each disease to facilitate discussion of multiple disease risks. Post-counseling, session summary reports are actively routed to both the patient and their physician team to encourage review and follow-up. Given the breadth of genomic information potentially resulting from genomic testing, this framework is put forth as a starting point to meet the need for scalable genetic counseling services in the delivery of precision medicine.
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Affiliation(s)
- Tara Schmidlen
- Genomic Medicine Institute, Geisinger Health System, Danville, PA, USA.,Coriell Institute for Medical Research, 403 Haddon Avenue, Camden, NJ, 08103, USA
| | - Amy C Sturm
- Genomic Medicine Institute, Geisinger Health System, Danville, PA, USA.,Division of Human Genetics, Ohio State University Wexner Medical Center, 2012 Kenny Road, Columbus, OH, 43221, USA
| | - Shelly Hovick
- School of Communication, Ohio State University, Columbus, OH, 43214, USA
| | - Laura Scheinfeldt
- Coriell Institute for Medical Research, 403 Haddon Avenue, Camden, NJ, 08103, USA
| | - J Scott Roberts
- Department of Health Behavior & Health Education, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Lindsey Morr
- School of Communication, Ohio State University, Columbus, OH, 43214, USA
| | - Joseph McElroy
- Department of Biomedical Informatics, Center for Biostatistics, Columbus, OH, 43221, USA
| | - Amanda E Toland
- Division of Human Genetics, Ohio State University Wexner Medical Center, 2012 Kenny Road, Columbus, OH, 43221, USA
| | - Michael Christman
- Coriell Institute for Medical Research, 403 Haddon Avenue, Camden, NJ, 08103, USA
| | - Julianne M O'Daniel
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Erynn S Gordon
- Coriell Institute for Medical Research, 403 Haddon Avenue, Camden, NJ, 08103, USA.,Genome Medical, Monterey, CA, 93940, USA
| | - Barbara A Bernhardt
- Division of Translational Medicine and Human Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Kelly E Ormond
- Department of Genetics and Stanford Center for Biomedical Ethics, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Kevin Sweet
- Division of Human Genetics, Ohio State University Wexner Medical Center, 2012 Kenny Road, Columbus, OH, 43221, USA.
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Vora NL, Powell B, Brandt A, Strande N, Hardisty E, Gilmore K, Foreman AKM, Wilhelmsen K, Bizon C, Reilly J, Owen P, Powell CM, Skinner D, Rini C, Lyerly AD, Boggess KA, Weck K, Berg JS, Evans JP. Prenatal exome sequencing in anomalous fetuses: new opportunities and challenges. Genet Med 2017; 19:1207-1216. [PMID: 28518170 PMCID: PMC5675748 DOI: 10.1038/gim.2017.33] [Citation(s) in RCA: 117] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2016] [Accepted: 02/04/2017] [Indexed: 12/13/2022] Open
Abstract
PurposeWe investigated the diagnostic and clinical performance of exome sequencing in fetuses with sonographic abnormalities with normal karyotype and microarray and, in some cases, normal gene-specific sequencing.MethodsExome sequencing was performed on DNA from 15 anomalous fetuses and from the peripheral blood of their parents. Parents provided consent to be informed of diagnostic results in the fetus, medically actionable findings in the parents, and their identification as carrier couples for significant autosomal recessive conditions. We assessed the perceptions and understanding of exome sequencing using mixed methods in 15 mother-father dyads.ResultsIn seven (47%) of 15 fetuses, exome sequencing provided a diagnosis or possible diagnosis with identification of variants in the following genes: COL1A1, MUSK, KCTD1, RTTN, TMEM67, PIEZO1 and DYNC2H1. One additional case revealed a de novo nonsense mutation in a novel candidate gene (MAP4K4). The perceived likelihood that exome sequencing would explain the results (5.2 on a 10-point scale) was higher than the approximately 30% diagnostic yield discussed in pretest counseling.ConclusionExome sequencing had diagnostic utility in a highly select population of fetuses where a genetic diagnosis was highly suspected. Challenges related to genetics literacy and variant interpretation must be addressed by highly tailored pre- and posttest genetic counseling.
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Affiliation(s)
- Neeta L. Vora
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Bradford Powell
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Alicia Brandt
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Natasha Strande
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Emily Hardisty
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Kelly Gilmore
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Ann Katherine M. Foreman
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
- North Carolina Translational and Clinical Sciences (NC TraCS) Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Kirk Wilhelmsen
- Departments of Genetics and Neurology, Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Chris Bizon
- Departments of Genetics and Neurology, Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Jason Reilly
- Departments of Genetics and Neurology, Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Phil Owen
- Departments of Genetics and Neurology, Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Cynthia M. Powell
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Department of Pediatrics, Division of Genetics and Metabolism, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Debra Skinner
- FPG Child Development Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Christine Rini
- Department of Health Behavior, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Anne D. Lyerly
- Department of Social Medicine and Center for Bioethics, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Kim A. Boggess
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Karen Weck
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Jonathan S. Berg
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - James P. Evans
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Department of Social Medicine and Center for Bioethics, University of North Carolina at Chapel Hill, Chapel Hill, NC
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Biesecker BB, Woolford SW, Klein WMP, Brothers KB, Umstead KL, Lewis KL, Biesecker LG, Han PKJ. PUGS: A novel scale to assess perceptions of uncertainties in genome sequencing. Clin Genet 2017; 92:172-179. [PMID: 27925165 PMCID: PMC5462880 DOI: 10.1111/cge.12949] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2016] [Revised: 11/30/2016] [Accepted: 12/01/2016] [Indexed: 01/25/2023]
Abstract
Expectations of results from genome sequencing by end users are influenced by perceptions of uncertainty. This study aimed to assess uncertainties about sequencing by developing, evaluating, and implementing a novel scale. The Perceptions of Uncertainties in Genome Sequencing (PUGS) scale comprised ten items to assess uncertainties within three domains: clinical, affective, and evaluative. Participants (n=535) from the ClinSeq® NIH sequencing study completed a baseline survey that included the PUGS; responses (mean = 3.4/5, SD=0.58) suggested modest perceptions of certainty. A confirmatory factor analysis identified factor loadings that led to elimination of two items. A revised eight-item PUGS scale was used to test correlations with perceived ambiguity (r = -0.303, p < 0.001), attitudinal ambivalence (r = -0.111, p = 0.011), and ambiguity aversion (r = -0.093, p = 0.033). Results support nomological validity. A correlation with the MICRA uncertainty subscale was found among 175 cohort participants who had received results (r = -0.335, p < 0.001). Convergent and discriminant validity were also satisfied in a second sample of 208 parents from the HudsonAlpha CSER Project who completed the PUGS (mean = 3.4/5, SD = 0.72), and configural invariance was supported across the two datasets. As such, the PUGS is a promising scale for evaluating perceived uncertainties in genome sequencing, which can inform interventions to help patients form realistic expectations of these uncertainties.
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Affiliation(s)
- Barbara B Biesecker
- Social and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892
| | | | - William MP Klein
- Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892
| | - Kyle B Brothers
- Department of Pediatrics, University of Louisville School of Medicine, Louisville, Kentucky 40202
| | - Kendall L Umstead
- Social and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892
| | - Katie L Lewis
- Medical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892
| | - Leslie G Biesecker
- Medical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892
| | - Paul KJ Han
- Maine Medical Center Research Institute, Center for Outcomes Research and Evaluation, 81 Research Dr Scarborough, ME 04074
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40
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Marshall DA, Gonzalez JM, MacDonald KV, Johnson FR. Estimating Preferences for Complex Health Technologies: Lessons Learned and Implications for Personalized Medicine. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2017; 20:32-39. [PMID: 28212966 PMCID: PMC5319756 DOI: 10.1016/j.jval.2016.08.737] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/18/2016] [Accepted: 08/26/2016] [Indexed: 05/09/2023]
Abstract
We examine key study design challenges of using stated-preference methods to estimate the value of whole-genome sequencing (WGS) as a specific example of genomic testing. Assessing the value of WGS is complex because WGS provides multiple findings, some of which can be incidental in nature and unrelated to the specific health concerns that motivated the test. In addition, WGS results can include actionable findings (variants considered to be clinically useful and can be acted on), findings for which evidence for best clinical action is not available (variants considered clinically valid but do not meet as high of a standard for clinical usefulness), and findings of unknown significance. We consider three key challenges encountered in designing our national study on the value of WGS-layers of uncertainty, potential downstream consequences with endogenous aspects, and both positive and negative utility associated with testing information-and potential solutions as strategies to address these challenges. We conceptualized the decision to acquire WGS information as a series of sequential choices that are resolved separately. To determine the value of WGS information at the initial decision to undergo WGS, we used contingent valuation questions, and to elicit respondent preferences for reducing risks of health problems and the consequences of taking the steps to reduce these risks, we used a discrete-choice experiment. We conclude by considering the implications for evaluating the value of other complex health technologies that involve multiple forms of uncertainty.
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Affiliation(s)
- Deborah A Marshall
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada.
| | | | - Karen V MacDonald
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
| | - F Reed Johnson
- Duke Clinical Research Institute, Duke University, Durham, NC, USA
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Marshall DA, Gonzalez JM, Johnson FR, MacDonald KV, Pugh A, Douglas MP, Phillips KA. What are people willing to pay for whole-genome sequencing information, and who decides what they receive? Genet Med 2016; 18:1295-1302. [PMID: 27253734 PMCID: PMC5133139 DOI: 10.1038/gim.2016.61] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2015] [Accepted: 03/30/2016] [Indexed: 01/31/2023] Open
Abstract
PURPOSE Whole-genome sequencing (WGS) can be used as a powerful diagnostic tool as well as for screening, but it may lead to anxiety, unnecessary testing, and overtreatment. Current guidelines suggest reporting clinically actionable secondary findings when diagnostic testing is performed. We examined preferences for receiving WGS results. METHODS A US nationally representative survey (n = 410 adults) was used to rank preferences for who decides (an expert panel, your doctor, you) which WGS results are reported. We estimated the value of information about variants with varying levels of clinical usefulness by using willingness to pay contingent valuation questions. RESULTS The results were as follows: 43% preferred to decide themselves what information is included in the WGS report. 38% (95% confidence interval (CI): 33-43%) would not pay for actionable variants, and 3% (95% CI: 1-5%) would pay more than $1,000. 55% (95% CI: 50-60%) would not pay for variants for which medical treatment is currently unclear, and 7% (95% CI: 5-9%) would pay more than $400. CONCLUSION Most people prefer to decide what WGS results are reported. Despite valuing actionable information more, some respondents perceive that genetic information could negatively impact them. Preference heterogeneity for WGS information should be considered in the development of policies, particularly to integrate patient preferences with personalized medicine and shared decision making.Genet Med 18 12, 1295-1302.
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Affiliation(s)
- DA Marshall
- Department of Community Health Sciences, University of Calgary, Alberta, Canada
| | - JM Gonzalez
- Research Triangle Institute, North Carolina, USA
| | - FR Johnson
- Duke Clinical Research Institute, Duke University, North Carolina, USA
| | - KV MacDonald
- Department of Community Health Sciences, University of Calgary, Alberta, Canada
| | - A Pugh
- Research Triangle Institute, North Carolina, USA
| | - MP Douglas
- University of California at San Francisco, Department of Clinical Pharmacy, Center for Translational and Policy Research on Personalized Medicine (TRANSPERS), California, USA
| | - KA Phillips
- University of California at San Francisco, Department of Clinical Pharmacy, Center for Translational and Policy Research on Personalized Medicine (TRANSPERS); UCSF Philip R. Lee Institute for Health Policy; and UCSF Helen Diller Family Comprehensive Cancer Center, California, USA
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Tabor HK, Jamal SM, Yu JH, Crouch JM, Shankar AG, Dent KM, Anderson N, Miller DA, Futral BT, Bamshad MJ. My46: a Web-based tool for self-guided management of genomic test results in research and clinical settings. Genet Med 2016; 19:467-475. [PMID: 27632689 PMCID: PMC5352554 DOI: 10.1038/gim.2016.133] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2016] [Accepted: 07/19/2016] [Indexed: 11/24/2022] Open
Abstract
A major challenge to implementing precision medicine is the need for an efficient and cost-effective strategy for returning individual genomic test results that is easily scalable and can be incorporated into multiple models of clinical practice. My46 is a web-based tool for managing the return of genetic results that was designed and developed to support a wide range of approaches to results disclosure, ranging from traditional face-to-face disclosure to self-guided models. My46 has five key functions: set and modify results return preferences, return results, educate, manage return of results, and assess return of results. These key functions are supported by six distinct modules and a suite of features that enhance the user experience, ease site navigation, facilitate knowledge sharing, and enable results return tracking. My46 is a potentially effective solution for returning results and supports current trends toward shared decision-making between patient and provider and patient-driven health management.
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Affiliation(s)
- Holly K Tabor
- Department of Pediatrics, University of Washington, Seattle, Washington, USA.,Treuman Katz Center for Pediatric Bioethics, Seattle Children's Research Institute, Seattle, Washington, USA
| | - Seema M Jamal
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.,Department of Paediatric Laboratory Medicine, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Joon-Ho Yu
- Department of Pediatrics, University of Washington, Seattle, Washington, USA
| | - Julia M Crouch
- Treuman Katz Center for Pediatric Bioethics, Seattle Children's Research Institute, Seattle, Washington, USA
| | - Aditi G Shankar
- Department of Pediatrics, University of Washington, Seattle, Washington, USA
| | - Karin M Dent
- Department of Pediatrics University of Utah, Salt Lake City, Utah, USA
| | - Nick Anderson
- Department of Public Health Sciences, University of California, Davis, Sacramento, California, USA
| | | | | | - Michael J Bamshad
- Department of Pediatrics, University of Washington, Seattle, Washington, USA.,Department of Genome Sciences, University of Washington, Seattle, Washington, USA
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43
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Newson AJ, Leonard SJ, Hall A, Gaff CL. Known unknowns: building an ethics of uncertainty into genomic medicine. BMC Med Genomics 2016; 9:57. [PMID: 27586379 PMCID: PMC5009566 DOI: 10.1186/s12920-016-0219-0] [Citation(s) in RCA: 53] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2015] [Accepted: 08/26/2016] [Indexed: 12/02/2022] Open
Abstract
Background Genomic testing has reached the point where, technically at least, it can be cheaper to undertake panel-, exome- or whole genome testing than it is to sequence a single gene. An attribute of these approaches is that information gleaned will often have uncertain significance. In addition to the challenges this presents for pre-test counseling and informed consent, a further consideration emerges over how - ethically - we should conceive of and respond to this uncertainty. To date, the ethical aspects of uncertainty in genomics have remained under-explored. Discussion In this paper, we draft a conceptual and ethical response to the question of how to conceive of and respond to uncertainty in genomic medicine. After introducing the problem, we articulate a concept of ‘genomic uncertainty’. Drawing on this, together with exemplar clinical cases and related empirical literature, we then critique the presumption that uncertainty is always problematic and something to be avoided, or eradicated. We conclude by outlining an ‘ethics of genomic uncertainty’; describing how we might handle uncertainty in genomic medicine. This involves fostering resilience, welfare, autonomy and solidarity. Conclusions Uncertainty will be an inherent aspect of clinical practice in genomics for some time to come. Genomic testing should not be offered with the explicit aim to reduce uncertainty. Rather, uncertainty should be appraised, adapted to and communicated about as part of the process of offering and providing genomic information.
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Affiliation(s)
- Ainsley J Newson
- Centre for Values, Ethics and the Law in Medicine, Sydney School of Public Health, University of Sydney, Level 1, Medical Foundation Building K25, 92-94, Parramatta Road, Camperdown, NSW, 2006, Australia.
| | - Samantha J Leonard
- Inserm, Unite 1027, University Toulouse III, Paul Sabatier, France.,Service de Genetique Medicale CHU Toulouse, Toulouse, France
| | | | - Clara L Gaff
- Melbourne Genomics Health Alliance, Melbourne, Australia.,Departments of Paediatrics and Medicine, University of Melbourne, Melbourne, Australia
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Leitsalu L, Alavere H, Jacquemont S, Kolk A, Maillard AM, Reigo A, Nõukas M, Reymond A, Männik K, Ng PC, Metspalu A. Reporting incidental findings of genomic disorder-associated copy number variants to unselected biobank participants. Per Med 2016; 13:303-314. [PMID: 29749813 DOI: 10.2217/pme-2016-0009] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
BACKGROUND Procedural guidelines for disclosure of incidental genomic information are lacking. METHODS We introduce a method and evaluated the impact of returning results to population biobank participants with 16p11.2 copy number variants, which are commonly associated with neurodevelopmental disorders and BMI imbalance. Of the 7877 participants, 11 carriers were detected. Eight participants were informed of their carrier status and surveyed 11-17 months later. RESULTS All participants demonstrated preference for disclosure. Although two participants experienced worry, all five survey respondents rated receiving this information favorably. One participant reported modifications in treatment and three felt that their treatment/condition had since improved. CONCLUSION This approach can be adapted and applied for the return of incidental findings to biobank participants.
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Affiliation(s)
- Liis Leitsalu
- Estonian Genome Center, University of Tartu (EGCUT), Tartu, 51010, Estonia.,Institute of Molecular & Cell Biology, University of Tartu, Tartu, 51010, Estonia
| | - Helene Alavere
- Estonian Genome Center, University of Tartu (EGCUT), Tartu, 51010, Estonia
| | - Sébastien Jacquemont
- Service of Medical Genetics, Lausanne University Hospital, Lausanne, 1011, Switzerland
| | - Anneli Kolk
- Estonian Genome Center, University of Tartu (EGCUT), Tartu, 51010, Estonia.,Department of Neurology, Children's Clinic of Tartu University Hospital, Tartu, 50406, Estonia
| | - Anne M Maillard
- Service of Medical Genetics, Lausanne University Hospital, Lausanne, 1011, Switzerland
| | - Anu Reigo
- Estonian Genome Center, University of Tartu (EGCUT), Tartu, 51010, Estonia
| | - Margit Nõukas
- Estonian Genome Center, University of Tartu (EGCUT), Tartu, 51010, Estonia.,Institute of Molecular & Cell Biology, University of Tartu, Tartu, 51010, Estonia
| | - Alexandre Reymond
- Center for Integrative Genomics, University of Lausanne, Lausanne, 1015, Switzerland
| | - Katrin Männik
- Estonian Genome Center, University of Tartu (EGCUT), Tartu, 51010, Estonia.,Center for Integrative Genomics, University of Lausanne, Lausanne, 1015, Switzerland
| | - Pauline C Ng
- Estonian Genome Center, University of Tartu (EGCUT), Tartu, 51010, Estonia.,Genome Institute of Singapore, Singapore, 138672, Singapore
| | - Andres Metspalu
- Estonian Genome Center, University of Tartu (EGCUT), Tartu, 51010, Estonia.,Institute of Molecular & Cell Biology, University of Tartu, Tartu, 51010, Estonia
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45
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Green RC, Goddard KAB, Jarvik GP, Amendola LM, Appelbaum PS, Berg JS, Bernhardt BA, Biesecker LG, Biswas S, Blout CL, Bowling KM, Brothers KB, Burke W, Caga-Anan CF, Chinnaiyan AM, Chung WK, Clayton EW, Cooper GM, East K, Evans JP, Fullerton SM, Garraway LA, Garrett JR, Gray SW, Henderson GE, Hindorff LA, Holm IA, Lewis MH, Hutter CM, Janne PA, Joffe S, Kaufman D, Knoppers BM, Koenig BA, Krantz ID, Manolio TA, McCullough L, McEwen J, McGuire A, Muzny D, Myers RM, Nickerson DA, Ou J, Parsons DW, Petersen GM, Plon SE, Rehm HL, Roberts JS, Robinson D, Salama JS, Scollon S, Sharp RR, Shirts B, Spinner NB, Tabor HK, Tarczy-Hornoch P, Veenstra DL, Wagle N, Weck K, Wilfond BS, Wilhelmsen K, Wolf SM, Wynn J, Yu JH. Clinical Sequencing Exploratory Research Consortium: Accelerating Evidence-Based Practice of Genomic Medicine. Am J Hum Genet 2016; 98:1051-1066. [PMID: 27181682 DOI: 10.1016/j.ajhg.2016.04.011] [Citation(s) in RCA: 109] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2015] [Accepted: 04/14/2016] [Indexed: 12/11/2022] Open
Abstract
Despite rapid technical progress and demonstrable effectiveness for some types of diagnosis and therapy, much remains to be learned about clinical genome and exome sequencing (CGES) and its role within the practice of medicine. The Clinical Sequencing Exploratory Research (CSER) consortium includes 18 extramural research projects, one National Human Genome Research Institute (NHGRI) intramural project, and a coordinating center funded by the NHGRI and National Cancer Institute. The consortium is exploring analytic and clinical validity and utility, as well as the ethical, legal, and social implications of sequencing via multidisciplinary approaches; it has thus far recruited 5,577 participants across a spectrum of symptomatic and healthy children and adults by utilizing both germline and cancer sequencing. The CSER consortium is analyzing data and creating publically available procedures and tools related to participant preferences and consent, variant classification, disclosure and management of primary and secondary findings, health outcomes, and integration with electronic health records. Future research directions will refine measures of clinical utility of CGES in both germline and somatic testing, evaluate the use of CGES for screening in healthy individuals, explore the penetrance of pathogenic variants through extensive phenotyping, reduce discordances in public databases of genes and variants, examine social and ethnic disparities in the provision of genomics services, explore regulatory issues, and estimate the value and downstream costs of sequencing. The CSER consortium has established a shared community of research sites by using diverse approaches to pursue the evidence-based development of best practices in genomic medicine.
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Affiliation(s)
- Robert C Green
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Harvard Medical School, Boston, MA 02115, USA; Partners Personalized Medicine, Boston, MA 02139, USA.
| | - Katrina A B Goddard
- Center for Health Research, Kaiser Permanente Northwest, Portland, OR 97227, USA
| | - Gail P Jarvik
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA; Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA 98195, USA; Clinical Sequencing Exploratory Research Coordinating Center, University of Washington, Seattle, WA 98195, USA
| | - Laura M Amendola
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA 98195, USA; Clinical Sequencing Exploratory Research Coordinating Center, University of Washington, Seattle, WA 98195, USA
| | - Paul S Appelbaum
- Department of Psychiatry, Columbia University Medical Center and New York State Psychiatric Institute, New York, NY 10032, USA
| | - Jonathan S Berg
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Barbara A Bernhardt
- Division of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Leslie G Biesecker
- Medical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, NIH, Bethesda, MD 20892, USA
| | - Sawona Biswas
- Division of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Carrie L Blout
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Kevin M Bowling
- HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806, USA
| | - Kyle B Brothers
- Department of Pediatrics, University of Louisville, Louisville, KY 40202, USA
| | - Wylie Burke
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA 98195, USA; Clinical Sequencing Exploratory Research Coordinating Center, University of Washington, Seattle, WA 98195, USA; Department of Bioethics and Humanities, Department of Medicine, University of Washington, Seattle, WA 98195, USA
| | | | - Arul M Chinnaiyan
- Michigan Center for Translational Pathology, Ann Arbor, MI 48109, USA; Comprehensive Cancer Center, University of Michigan, Ann Arbor, MI 48109, USA; Departments of Pathology and Urology, University of Michigan, Ann Arbor, MI 48109, USA; Howard Hughes Medical Institute, Ann Arbor, MI 48109, USA
| | - Wendy K Chung
- Department of Pediatrics, Columbia University, New York, NY 10029, USA; Department of Medicine, Columbia University Medical Center, New York, NY 10032, USA
| | - Ellen W Clayton
- Center for Biomedical Ethics and Society, Vanderbilt University, Nashville, TN 37203, USA
| | - Gregory M Cooper
- HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806, USA
| | - Kelly East
- HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806, USA
| | - James P Evans
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Stephanie M Fullerton
- Department of Bioethics and Humanities, Department of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Levi A Garraway
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medical Oncology and Center for Cancer Precision Medicine, Dana-Farber Cancer Institute, Boston, MA 02115, USA; Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Jeremy R Garrett
- Children's Mercy Bioethics Center, Children's Mercy Hospital, Kansas City, MO 64108, USA; Departments of Pediatrics and Philosophy, University of Missouri - Kansas City, Kansas City, MO 64110, USA
| | - Stacy W Gray
- Harvard Medical School, Boston, MA 02115, USA; Dana-Farber Cancer Institute, Boston, MA 02115, USA
| | - Gail E Henderson
- Department of Social Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Lucia A Hindorff
- Division of Genomic Medicine, National Human Genome Research Institute, NIH, Bethesda, MD 20892, USA
| | - Ingrid A Holm
- Harvard Medical School, Boston, MA 02115, USA; Division of Genetics and Genomics and the Manton Center for Orphan Diseases Research, Boston Children's Hospital, Boston, MA 02115, USA
| | | | - Carolyn M Hutter
- Division of Genomic Medicine, National Human Genome Research Institute, NIH, Bethesda, MD 20892, USA
| | - Pasi A Janne
- Harvard Medical School, Boston, MA 02115, USA; Dana-Farber Cancer Institute, Boston, MA 02115, USA
| | - Steven Joffe
- Department of Medical Ethics & Health Policy, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA
| | - David Kaufman
- Division of Genomics and Society, National Human Genome Research Institute, NIH, Bethesda, MD 20892, USA
| | - Bartha M Knoppers
- Centre of Genomics and Policy, Faculty of Medicine, Department of Human Genetics, McGill University, Montreal, QC H3A 1B1, Canada
| | - Barbara A Koenig
- Institute for Health and Aging, University of California, San Francisco, San Francisco, CA 94118, USA
| | - Ian D Krantz
- Division of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Teri A Manolio
- Division of Genomic Medicine, National Human Genome Research Institute, NIH, Bethesda, MD 20892, USA
| | - Laurence McCullough
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX 77030, USA
| | - Jean McEwen
- Division of Genomics and Society, National Human Genome Research Institute, NIH, Bethesda, MD 20892, USA
| | - Amy McGuire
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX 77030, USA
| | - Donna Muzny
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Richard M Myers
- HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806, USA
| | - Deborah A Nickerson
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA; Clinical Sequencing Exploratory Research Coordinating Center, University of Washington, Seattle, WA 98195, USA
| | - Jeffrey Ou
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA 98195, USA; Clinical Sequencing Exploratory Research Coordinating Center, University of Washington, Seattle, WA 98195, USA
| | - Donald W Parsons
- Baylor College of Medicine and Texas Children's Cancer Center, Houston, TX 77030, USA
| | - Gloria M Petersen
- Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, MN 55905, USA
| | - Sharon E Plon
- Baylor College of Medicine and Texas Children's Cancer Center, Houston, TX 77030, USA
| | - Heidi L Rehm
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Harvard Medical School, Boston, MA 02115, USA; Partners Personalized Medicine, Boston, MA 02139, USA; Laboratory for Molecular Medicine, Partners HealthCare, Cambridge, MA 02139, USA
| | - J Scott Roberts
- Department of Health Behavior & Health Education, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
| | - Dan Robinson
- Michigan Center for Translational Pathology, Ann Arbor, MI 48109, USA
| | - Joseph S Salama
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA 98195, USA; Clinical Sequencing Exploratory Research Coordinating Center, University of Washington, Seattle, WA 98195, USA
| | - Sarah Scollon
- Department of Pediatrics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Richard R Sharp
- Biomedical Ethics Research Program, Mayo Clinic College of Medicine, Rochester, MN 55905, USA
| | - Brian Shirts
- Department of Laboratory Medicine, University of Washington, Seattle, WA 98195, USA
| | - Nancy B Spinner
- Division of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Holly K Tabor
- Department of Pediatrics and Seattle Children's Research Institute, University of Washington, Seattle, WA, USA
| | - Peter Tarczy-Hornoch
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA 98195, USA; University of Washington, Seattle, WA 98105, USA
| | - David L Veenstra
- Department of Pharmacy, University of Washington, Seattle, WA 98195, USA
| | - Nikhil Wagle
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medical Oncology and Center for Cancer Precision Medicine, Dana-Farber Cancer Institute, Boston, MA 02115, USA; Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Karen Weck
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, NC 27599, USA
| | - Benjamin S Wilfond
- Department of Pediatrics and Seattle Children's Research Institute, University of Washington, Seattle, WA, USA
| | - Kirk Wilhelmsen
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Susan M Wolf
- Law School, Medical School, and Consortium on Law and Values in Health, Environment, & the Life Sciences, Minneapolis, University of Minnesota, MN 55455, USA
| | - Julia Wynn
- Department of Pediatrics, Columbia University, New York, NY 10029, USA
| | - Joon-Ho Yu
- Department of Pediatrics, University of Washington, Seattle, WA 98195, USA
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46
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Shyr C, Kushniruk A, van Karnebeek CDM, Wasserman WW. Dynamic software design for clinical exome and genome analyses: insights from bioinformaticians, clinical geneticists, and genetic counselors. J Am Med Inform Assoc 2016; 23:257-68. [PMID: 26117142 PMCID: PMC4784553 DOI: 10.1093/jamia/ocv053] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2015] [Revised: 04/03/2015] [Accepted: 04/22/2015] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND The transition of whole-exome and whole-genome sequencing (WES/WGS) from the research setting to routine clinical practice remains challenging. OBJECTIVES With almost no previous research specifically assessing interface designs and functionalities of WES and WGS software tools, the authors set out to ascertain perspectives from healthcare professionals in distinct domains on optimal clinical genomics user interfaces. METHODS A series of semi-scripted focus groups, structured around professional challenges encountered in clinical WES and WGS, were conducted with bioinformaticians (n = 8), clinical geneticists (n = 9), genetic counselors (n = 5), and general physicians (n = 4). RESULTS Contrary to popular existing system designs, bioinformaticians preferred command line over graphical user interfaces for better software compatibility and customization flexibility. Clinical geneticists and genetic counselors desired an overarching interactive graphical layout to prioritize candidate variants--a "tiered" system where only functionalities relevant to the user domain are made accessible. They favored a system capable of retrieving consistent representations of external genetic information from third-party sources. To streamline collaboration and patient exchanges, the authors identified user requirements toward an automated reporting system capable of summarizing key evidence-based clinical findings among the vast array of technical details. CONCLUSIONS Successful adoption of a clinical WES/WGS system is heavily dependent on its ability to address the diverse necessities and predilections among specialists in distinct healthcare domains. Tailored software interfaces suitable for each group is likely more appropriate than the current popular "one size fits all" generic framework. This study provides interfaces for future intervention studies and software engineering opportunities.
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Affiliation(s)
- Casper Shyr
- Centre for Molecular Medicine and Therapeutics; Child and Family Research Institute, Vancouver BC, Canada Bioinformatics Graduate Program, University of British Columbia, Vancouver BC, Canada Treatable Intellectual Disability Endeavour in British Columbia (www.tidebc.org), Vancouver, Canada
| | - Andre Kushniruk
- School of Health Information Science, University of Victoria, 3800 Finnerty Rd, Victoria, BC V8P 5C2, Canada
| | - Clara D M van Karnebeek
- Treatable Intellectual Disability Endeavour in British Columbia (www.tidebc.org), Vancouver, Canada Division of Biochemical Diseases, BC Children's Hospital, Vancouver BC, Canada Department of Pediatrics, University of British Columbia, Vancouver BC, Canada
| | - Wyeth W Wasserman
- Centre for Molecular Medicine and Therapeutics; Child and Family Research Institute, Vancouver BC, Canada Treatable Intellectual Disability Endeavour in British Columbia (www.tidebc.org), Vancouver, Canada Department of Medical Genetics, University of British Columbia, Vancouver BC, Canada
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Nelson SC, Crouch JM, Bamshad MJ, Tabor HK, Yu JH. Use of metaphors about exome and whole genome sequencing. Am J Med Genet A 2016; 170A:1127-33. [PMID: 26822973 DOI: 10.1002/ajmg.a.37571] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2015] [Accepted: 01/14/2016] [Indexed: 12/27/2022]
Abstract
Clinical and research uses of exome and whole genome sequencing (ES/WGS) are growing rapidly. An enhanced understanding of how individuals conceptualize and communicate about sequencing results is needed to ensure effective, mutual exchange of information between care providers and patients and between researchers and participants. Focus groups and interviews participants were recruited to discuss their attitudes and preferences for receiving hypothetical results from ES/WGS. African Americans were intentionally oversampled. We qualitatively analyzed participants' speech to identify unsolicited metaphorical language pertaining to genes and health, and grouped these occurrences into metaphorical concepts. Participants compared genetic information to physical objects including tools, weapons, contents of boxes, and formal documents or reports. These metaphorical concepts centered on several key themes, including locus of control; containment versus release of information; and desirability, usability, interpretability, and ownership of genetic results. Metaphorical language is often used intentionally or unintentionally in discussions about receiving results from ES/WGS in both clinical and research settings. Awareness of the use of metaphorical language and attention to its varied meanings facilitates effective communication about return of ES/WGS results. In turn, both should foster shared and informed decision-making and improve the translation of genetic information by clinicians and researchers.
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Affiliation(s)
- Sarah C Nelson
- Institute for Public Health Genetics, University of Washington, Seattle, Washington
| | - Julia M Crouch
- Seattle Children's Research Institute, Seattle, Washington
| | - Michael J Bamshad
- Department of Pediatrics, University of Washington, Seattle, Washington.,Department of Genome Sciences, University of Washington, Seattle, Washington
| | - Holly K Tabor
- Seattle Children's Research Institute, Seattle, Washington.,Department of Pediatrics, University of Washington, Seattle, Washington
| | - Joon-Ho Yu
- Department of Pediatrics, University of Washington, Seattle, Washington
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Hofstatter E, Mehra K, Yushak M, Pusztai L. Tumor profiling and the incidentalome: patient decisions and risks. Future Oncol 2015; 11:3299-305. [DOI: 10.2217/fon.15.260] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Abstract
In recent years, the field of oncology has witnessed rapid advancements in genetic sequencing simultaneously with steeply declining costs of sequencing technology. As a result, genomics-driven cancer medicine and the use of tumor profiling are quickly becoming mainstays of cancer therapy. Oncology patients can benefit from tumor profiling by allowing the selection of targeted therapies tailored to their disease. However, it is increasingly recognized that the process of determining a tumor DNA sequence may lead to incidental discovery of underlying germline mutations which can impact other aspects of a patient’s health, and that of their family. How to handle the ‘incidentalome’ has been the subject of recent public debate, yet patient education about the potential risks of tumor profiling remains sparse. Patient perspectives and clinical implications of the tumor incidentalome must be specifically addressed by the oncology community as tumor profiling expands to become a new standard of care.
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Affiliation(s)
- Erin Hofstatter
- Section of Medical Oncology, Yale Cancer Center, Yale School of Medicine, New Haven, CT 06520, USA
| | - Karishma Mehra
- Section of Medical Oncology, Yale Cancer Center, Yale School of Medicine, New Haven, CT 06520, USA
| | - Melinda Yushak
- Department of Hematology & Medical Oncology, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Lajos Pusztai
- Section of Medical Oncology, Yale Cancer Center, Yale School of Medicine, New Haven, CT 06520, USA
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Bernhardt BA, Roche MI, Perry DL, Scollon SR, Tomlinson AN, Skinner D. Experiences with obtaining informed consent for genomic sequencing. Am J Med Genet A 2015; 167A:2635-46. [PMID: 26198374 PMCID: PMC4980577 DOI: 10.1002/ajmg.a.37256] [Citation(s) in RCA: 87] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2015] [Accepted: 07/06/2015] [Indexed: 01/11/2023]
Abstract
Despite the increased utilization of genome and exome sequencing, little is known about the actual content and process of informed consent for sequencing. We addressed this by interviewing 29 genetic counselors and research coordinators experienced in obtaining informed consent for sequencing in research and clinical settings. Interviews focused on the process and content of informed consent; patients/participants' common questions, concerns and misperceptions; and challenges to obtaining informed consent. Content analysis of transcribed interviews revealed that the main challenges to obtaining consent related to the broad scope and uncertainty of results, and patient/participants' unrealistic expectations about the likely number and utility of results. Interviewees modified their approach to sessions according to contextual issues surrounding the indication for testing, type of patient, and timing of testing. With experience, most interviewees structured sessions to place less emphasis on standard elements in the consent form and technological aspects of sequencing. They instead focused on addressing misperceptions and helping patients/participants develop realistic expectations about the types and implications of possible results, including secondary findings. These findings suggest that informed consent sessions should focus on key issues that may be misunderstood by patients/participants. Future research should address the extent to which various stakeholders agree on key elements of informed consent.
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Affiliation(s)
- Barbara A. Bernhardt
- Division of Translational Medicine and Human Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Myra I. Roche
- Department of Pediatrics, University of North Carolina, Chapel Hill, North Carolina
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina
| | | | - Sarah R. Scollon
- Department of Pediatrics, Baylor College of Medicine, Houston, Texas
| | - Ashley N. Tomlinson
- Division of Translational Medicine and Human Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Debra Skinner
- FPG Child Development Institute, University of North Carolina, Chapel Hill, North Carolina
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Smit AK, Keogh LA, Newson AJ, Hersch J, Butow P, Cust AE. Exploring the Potential Emotional and Behavioural Impact of Providing Personalised Genomic Risk Information to the Public: A Focus Group Study. Public Health Genomics 2015; 18:309-17. [DOI: 10.1159/000439246] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
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