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Pinard A, Rajkovic A. Bridging the Genetic Divide: Ensuring Equitable Access to Neurologic Genetic Testing. Neurology 2024; 102:e209289. [PMID: 38447118 DOI: 10.1212/wnl.0000000000209289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 01/24/2024] [Indexed: 03/08/2024] Open
Affiliation(s)
- Amélie Pinard
- From the Department of Pathology (A.P., A.R.) and Institute of Human Genetics (A.R.), University of California, San Francisco
| | - Aleksandar Rajkovic
- From the Department of Pathology (A.P., A.R.) and Institute of Human Genetics (A.R.), University of California, San Francisco
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Britten-Jones AC, Schultz J, Mack HG, Kearns LS, Huq AJ, Ruddle JB, Mackey DA, Hewitt AW, Edwards TL, Ayton LN. Patient experiences and perceived value of genetic testing in inherited retinal diseases: a cross-sectional survey. Sci Rep 2024; 14:5403. [PMID: 38443430 PMCID: PMC10914714 DOI: 10.1038/s41598-024-56121-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 02/29/2024] [Indexed: 03/07/2024] Open
Abstract
This study evaluated patient experiences with genetic testing for inherited retinal diseases (IRDs) and the association between underlying knowledge, testing outcomes, and the perceived value of the results. An online survey was distributed to adults with IRDs and parents/guardians of dependents with IRDs who had had genetic testing. Data included details of genetic testing, pre- and post- test perceptions, Decision Regret Scale, perceived value of results, and knowledge of gene therapy. Of 135 responses (85% from adults with IRDs), genetic testing was primarily conducted at no charge through public hospitals (49%) or in a research setting (30%). Key motivations for genetic testing were to confirm IRD diagnosis and to contribute towards research. Those who had received a genetic diagnosis (odds ratio: 6.71; p < 0.001) and those self-reported to have good knowledge of gene therapy (odds ratio: 2.69; p = 0.018) were more likely to have gained confidence in managing their clinical care. For over 80% of respondents, knowing the causative gene empowered them to learn more about their IRD and explore opportunities regarding clinical trials. Key genetic counselling information needs include resources for family communications, structured information provision, and ongoing genetic support, particularly in the context of emerging ocular therapies, to enhance consistency in information uptake.
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Affiliation(s)
- Alexis Ceecee Britten-Jones
- Department of Optometry and Vision Sciences, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Parkville, VIC, 3010, Australia.
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, Australia.
- Department of Surgery (Ophthalmology), Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, Australia.
| | - Joshua Schultz
- Department of Genomic Medicine, Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Heather G Mack
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, Australia
- Department of Surgery (Ophthalmology), Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, Australia
| | - Lisa S Kearns
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, Australia
- Department of Surgery (Ophthalmology), Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, Australia
| | - Aamira J Huq
- Department of Genomic Medicine, Royal Melbourne Hospital, Parkville, VIC, Australia
- Department of Medicine, University of Melbourne, Parkville, VIC, Australia
| | - Jonathan B Ruddle
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, Australia
| | - David A Mackey
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, Australia
- Menzies Institute for Medical Research, School of Medicine, University of Tasmania, Hobart, TAS, 7000, Australia
- Centre for Ophthalmology and Visual Science, Lions Eye Institute, The University of Western Australia, Nedlands, WA, 6009, Australia
| | - Alex W Hewitt
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, Australia
- Department of Surgery (Ophthalmology), Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, Australia
- Menzies Institute for Medical Research, School of Medicine, University of Tasmania, Hobart, TAS, 7000, Australia
| | - Thomas L Edwards
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, Australia
- Department of Surgery (Ophthalmology), Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, Australia
| | - Lauren N Ayton
- Department of Optometry and Vision Sciences, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Parkville, VIC, 3010, Australia
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, Australia
- Department of Surgery (Ophthalmology), Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, Australia
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David SP, Dunnenberger HM, Choi S, DePersia A, Ilbawi N, Ward C, Wake DT, Khandekar JD, Shannon Y, Hughes K, Miller N, Mangold KA, Sabatini LM, Helseth DL, Xu J, Sanders A, Kaul KL, Hulick PJ. Personalized medicine in a community health system: the NorthShore experience. Front Genet 2023; 14:1308738. [PMID: 38090148 PMCID: PMC10713750 DOI: 10.3389/fgene.2023.1308738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Accepted: 11/06/2023] [Indexed: 02/01/2024] Open
Abstract
Genomic and personalized medicine implementation efforts have largely centered on specialty care in tertiary health systems. There are few examples of fully integrated care systems that span the healthcare continuum. In 2014, NorthShore University HealthSystem launched the Center for Personalized Medicine to catalyze the delivery of personalized medicine. Successful implementation required the development of a scalable family history collection tool, the Genetic and Wellness Assessment (GWA) and Breast Health Assessment (BHA) tools; integrated pharmacogenomics programming; educational programming; electronic medical record integration; and robust clinical decision support tools. To date, more than 225,000 patients have been screened for increased hereditary conditions, such as cancer risk, through these tools in primary care. More than 35,000 patients completed clinical genetic testing following GWA or BHA completion. An innovative program trained more than 100 primary care providers in genomic medicine, activated with clinical decision support and access to patient genetic counseling services and digital healthcare tools. The development of a novel bioinformatics platform (FLYPE) enabled the incorporation of genomics data into electronic medical records. To date, over 4,000 patients have been identified to have a pathogenic or likely pathogenic variant in a gene with medical management implications. Over 33,000 patients have clinical pharmacogenomics data incorporated into the electronic health record supported by clinical decision support tools. This manuscript describes the evolution, strategy, and successful multispecialty partnerships aligned with health system leadership that enabled the implementation of a comprehensive personalized medicine program with measurable patient outcomes through a genomics-enabled learning health system model that utilizes implementation science frameworks.
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Affiliation(s)
- Sean P. David
- Department of Family Medicine, NorthShore University HealthSystem, Evanston, IL, United States
- Department of Family Medicine, University of Chicago Pritzker School of Medicine, Chicago, IL, United States
- Mark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, IL, United States
- Outcomes Research Network, NorthShore University HealthSystem, Evanston, IL, United States
| | - Henry M. Dunnenberger
- Mark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, IL, United States
| | - Sarah Choi
- Mark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, IL, United States
| | - Allison DePersia
- Mark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, IL, United States
- Outcomes Research Network, NorthShore University HealthSystem, Evanston, IL, United States
- Department of Medicine, NorthShore University HealthSystem, Evanston, IL, United States
- Department of Medicine, University of Chicago Pritzker School of Medicine, Chicago, IL, United States
| | - Nadim Ilbawi
- Department of Family Medicine, NorthShore University HealthSystem, Evanston, IL, United States
- Department of Family Medicine, University of Chicago Pritzker School of Medicine, Chicago, IL, United States
| | - Christopher Ward
- Mark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, IL, United States
| | - Dyson T. Wake
- Mark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, IL, United States
| | - Janardan D. Khandekar
- Department of Medicine, NorthShore University HealthSystem, Evanston, IL, United States
- Kellogg Cancer Center, NorthShore University HealthSystem, Evanston, IL, United States
| | - Yvette Shannon
- Mark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, IL, United States
- Department of Medicine, NorthShore University HealthSystem, Evanston, IL, United States
- Department of Medicine, University of Chicago Pritzker School of Medicine, Chicago, IL, United States
| | - Kristen Hughes
- Mark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, IL, United States
| | - Nicholas Miller
- Mark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, IL, United States
| | - Kathy A. Mangold
- Department of Pathology, University of Chicago Pritzker School of Medicine, Chicago, IL, United States
| | - Linda M. Sabatini
- Department of Pathology, University of Chicago Pritzker School of Medicine, Chicago, IL, United States
| | - Donald L. Helseth
- Mark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, IL, United States
| | - Jianfeng Xu
- Mark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, IL, United States
| | - Alan Sanders
- Center for Psychiatric Genetics, Department of Psychiatry and Behavioral Sciences, NorthShore University HealthSystem, Evanston, IL, United States
- Departments of Psychiatry and Behavioral Neuroscience, University of Chicago Pritzker School of Medicine, Chicago, IL, United States
| | - Karen L. Kaul
- Outcomes Research Network, NorthShore University HealthSystem, Evanston, IL, United States
- Department of Pathology, University of Chicago Pritzker School of Medicine, Chicago, IL, United States
- Department of Pathology, NorthShore University HealthSystem, Evanston, IL, United States
| | - Peter J. Hulick
- Mark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, IL, United States
- Outcomes Research Network, NorthShore University HealthSystem, Evanston, IL, United States
- Department of Medicine, NorthShore University HealthSystem, Evanston, IL, United States
- Department of Medicine, University of Chicago Pritzker School of Medicine, Chicago, IL, United States
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Dickey L, Gronowski B, Jones K, Rinaldi JB, Emery K, Clemens J, Gordon O, Vartanian K. Participation in genetic screening: testing different outreach methods across a diverse hospital system based patient population. Front Genet 2023; 14:1272931. [PMID: 37900185 PMCID: PMC10602775 DOI: 10.3389/fgene.2023.1272931] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 09/29/2023] [Indexed: 10/31/2023] Open
Abstract
Introduction: Genomics has the potential to transform medicine by identifying genetic risk factors that predispose people to certain illnesses. Use of genetic screening is rapidly expanding and shifting towards screening all patients regardless of known risk factors, but research is limited on the success of broad population-level outreach for genetic testing and the effectiveness of different outreach methods across diverse populations. In this study, we tested the effectiveness of Digital Only (emailing and texting) and Brochure Plus Digital (mailed brochure, emailing, and texting) outreach to encourage a diverse patient population to participate in a large hospital system's whole genome sequencing program. Methods: Disproportionate stratified sampling was used to create a study population more demographically diverse than the eligible population and response rates were analyzed overall and by demographics to understand the effectiveness of different outreach strategies. Results: 7.5% of all eligible patients enrolled in the program. While approximately 70% of patients invited to complete genetic testing identified in their EHR as being Hispanic, Black or African America, Asian, or another non-White race, these patients generally enrolled at lower rates than the overall population. Other underrepresented groups had higher enrollment rates including people with Medicaid coverage (8.7%) and those residing in rural areas (10.6%). We found no significant difference in enrollment rates between our Digital-Only and our Brochure Plus Digital outreach approaches in the overall population, but enrollment rates were significantly higher for Asian patients and patients who resided in rural areas in the Brochure Plus Digital group. Across both outreach approaches, links provided in emails were most commonly used for enrollment. Discussion: Our study reveals expected enrollment rates for proactive outreach by a hospital system for genetic testing in a diverse population. As more hospital systems are adopting population-scale genetic testing, these findings can inform future outreach efforts to recruit patients for genetic testing including those patients traditionally underrepresented in genomics.
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Affiliation(s)
- Lindsay Dickey
- Center for Outcomes Research and Education, Portland, OR, United States
| | - Ben Gronowski
- Center for Outcomes Research and Education, Portland, OR, United States
| | - Kyle Jones
- Center for Outcomes Research and Education, Portland, OR, United States
| | - J. B. Rinaldi
- Center for Outcomes Research and Education, Portland, OR, United States
| | - Kate Emery
- Center for Clinical Genetics and Genomics for Providence Southern California, Burbank, CA, United States
| | - Jon Clemens
- Center for Clinical Genetics and Genomics for Providence Southern California, Burbank, CA, United States
| | - Ora Gordon
- Center for Clinical Genetics and Genomics for Providence Southern California, Burbank, CA, United States
| | - Keri Vartanian
- Center for Outcomes Research and Education, Portland, OR, United States
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Melendez K, Gutierrez-Meza D, Gavin KL, Alagoz E, Sperber N, Wu RR, Silva A, Pati B, Voora D, Hung A, Roberts MC, Voils CI. Patient Perspectives of Barriers and Facilitators for the Uptake of Pharmacogenomic Testing in Veterans Affairs' Pharmacogenomic Testing for the Veterans (PHASER) Program. J Pers Med 2023; 13:1367. [PMID: 37763135 PMCID: PMC10532622 DOI: 10.3390/jpm13091367] [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: 08/13/2023] [Revised: 08/30/2023] [Accepted: 09/06/2023] [Indexed: 09/29/2023] Open
Abstract
We applied implementation science frameworks to identify barriers and facilitators to veterans' acceptance of pharmacogenomic testing (PGx), which was made available as a part of clinical care at 25 VA medical centers. We conducted 30 min interviews with veterans who accepted (n = 14), declined (n = 9), or were contemplating (n = 8) PGx testing. Six team members coded one transcript from each participant group to develop the codebook and finalize definitions. Three team members coded the remaining 28 transcripts and met regularly with the larger team to reach a consensus. The coders generated a matrix of implementation constructs by testing status to identify the similarities and differences between accepters, decliners, and contemplators. All groups understood the PGx testing procedures and possible benefits. In the decision-making, accepters prioritized the potential health benefits of PGx testing, such as reducing side effects or the number of medications. In contrast, decliners prioritized the possibilities of data breach or the negative impact on healthcare insurance or Veterans Affairs benefits. Contemplators desired to speak to a provider to learn more before making a decision. Efforts to improve the clarity of data security and the impact on benefits may improve veterans' abilities to make more informed decisions about whether to undergo PGx testing.
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Affiliation(s)
- Karina Melendez
- Department of Surgery, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792, USA; (K.M.); (D.G.-M.); (E.A.); (B.P.); (A.H.)
| | - Diana Gutierrez-Meza
- Department of Surgery, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792, USA; (K.M.); (D.G.-M.); (E.A.); (B.P.); (A.H.)
| | - Kara L. Gavin
- Department of Surgery, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792, USA; (K.M.); (D.G.-M.); (E.A.); (B.P.); (A.H.)
| | - Esra Alagoz
- Department of Surgery, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792, USA; (K.M.); (D.G.-M.); (E.A.); (B.P.); (A.H.)
| | - Nina Sperber
- Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Medical Center, Durham, NC 27705, USA
- Duke Department of Population Health Sciences, Duke University School of Medicine, Durham, NC 27701, USA
| | - Rebekah Ryanne Wu
- VA National Pharmacogenomics Program, Department of Veteran’s Affairs, Durham, NC 27705, USA; (R.R.W.)
- Department of Medicine, Duke Precision Medicine Program, Duke University School of Medicine, Durham, NC 27599, USA
| | - Abigail Silva
- Center of Innovation for Complex Chronic Healthcare, Edward Hines Jr. Veterans Affairs Hospital, Hines, IL 60141, USA
- Parkinson School of Health Sciences and Public Health, Loyola University Chicago, Maywood, IL 60153, USA
| | - Bhabna Pati
- Department of Surgery, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792, USA; (K.M.); (D.G.-M.); (E.A.); (B.P.); (A.H.)
| | - Deepak Voora
- VA National Pharmacogenomics Program, Department of Veteran’s Affairs, Durham, NC 27705, USA; (R.R.W.)
- Department of Medicine, Duke Precision Medicine Program, Duke University School of Medicine, Durham, NC 27599, USA
| | - Allison Hung
- Department of Surgery, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792, USA; (K.M.); (D.G.-M.); (E.A.); (B.P.); (A.H.)
| | - Megan C. Roberts
- Division of Pharmaceutical Outcomes & Policy, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA;
| | - Corrine I. Voils
- Department of Surgery, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792, USA; (K.M.); (D.G.-M.); (E.A.); (B.P.); (A.H.)
- William S. Middleton Memorial Veterans Hospital, Madison, WI 53705, USA
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Rao ND, Kaganovsky J, Fullerton SM, Chen AT, Shirts BH. Factors Influencing Genetic Screening Enrollment among a Diverse, Community-Ascertained Cohort. Public Health Genomics 2023; 26:113-122. [PMID: 37604133 PMCID: PMC10614558 DOI: 10.1159/000531989] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Accepted: 07/05/2023] [Indexed: 08/23/2023] Open
Abstract
INTRODUCTION Genetic screening for preventable adult-onset hereditary conditions has been proposed as a mechanism to reduce health disparities. Analysis of how race and ethnicity influence decision-making to receive screening can inform recruitment efforts and more equitable population screening design. A study at the University of Washington Medicine that invited unselected patients to participate in genetic screening for pathogenic variation in medically important genes provided an opportunity to evaluate these factors. METHODS We analyzed screening enrollee survey data to understand factors most important and least important in decision-making about screening overall and across different race and ethnicity groups. Electronic health record race and ethnicity and survey-reported race and ethnicity were compared to assist with interpretation. Comments provided about reasons for not enrolling in screening were analyzed using content analysis. RESULTS Overall, learning about disease risk and identifying risk early for prevention purposes were important factors in decision-making to receive screening, and regrets about screening and screening being against one's moral code were not viewed as important. Although racial identity was challenging to assign in all cases, compared to other enrollees, African-American and Asian enrollees considered test accuracy and knowing more about the test to be of greater importance. Three themes emerged related to nonparticipation: benefits do not outweigh risks, don't want to know, and challenges with study logistics. CONCLUSION Our results highlight important motivators for receiving screening and areas that can be addressed to increase screening interest and accessibility. This knowledge can inform future population screening program design including recruitment and education approaches.
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Affiliation(s)
- Nandana D Rao
- Institute for Public Health Genetics, University of Washington, Seattle, Washington, USA,
| | - Jailanie Kaganovsky
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA
| | - Stephanie M Fullerton
- Department of Bioethics and Humanities, University of Washington School of Medicine, Seattle, Washington, USA
| | - Annie T Chen
- Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington, USA
| | - Brian H Shirts
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA
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Miller EG, Young JL, Rao A, Ward-Lev E, Halley MC. Demographic Characteristics Associated With Perceptions of Personal Utility in Genetic and Genomic Testing: A Systematic Review. JAMA Netw Open 2023; 6:e2310367. [PMID: 37145601 PMCID: PMC10163389 DOI: 10.1001/jamanetworkopen.2023.10367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Accepted: 03/14/2023] [Indexed: 05/06/2023] Open
Abstract
Importance The expansion of genetic and genomic testing in health care has led to recognition that these tests provide personal as well as clinical utility to patients and families. However, available systematic reviews on this topic have not reported the demographic backgrounds of participants in studies of personal utility, leaving generalizability unclear. Objective To determine the demographic characteristics of participants in studies examining the personal utility of genetic and genomic testing in health care. Evidence Review For this systematic review, we utilized and updated the results of a highly cited 2017 systematic review on the personal utility of genetics and genomics, which identified relevant articles published between January 1, 2003, and August 4, 2016. We also used the original methods to update this bibliography with literature published subsequently up to January 1, 2022. Studies were screened for eligibility by 2 independent reviewers. Eligible studies reported empirical data on the perspectives of patients, family members, and/or the general public in the US on the personal utility of any type of health-related genetic or genomic test. We utilized a standardized codebook to extract study and participant characteristics. We summarized demographic characteristics descriptively across all studies and by subgroup based on study and participant characteristics. Findings We included 52 studies with 13 251 eligible participants. Sex or gender was the most frequently reported demographic characteristic (48 studies [92.3%]), followed by race and ethnicity (40 studies [76.9%]), education (38 studies [73.1%]), and income (26 studies [50.0%]). Across studies, participants disproportionately were women or female (mean [SD], 70.8% [20.5%]), were White (mean [SD], 76.1% [22.0%]), had a college degree or higher (mean [SD], 64.5% [19.9%]), and reported income above the US median (mean [SD], 67.4% [19.2%]). Examination of subgroups of results by study and participant characteristics evidenced only small shifts in demographic characteristics. Conclusions and Relevance This systematic review examined the demographic characteristics of individual participants in studies of the personal utility of health-related genetic and genomic testing in the US. The results suggest that participants in these studies were disproportionately White, college-educated women with above-average income. Understanding the perspectives of more diverse individuals regarding the personal utility of genetic and genomic testing may inform barriers to research recruitment and uptake of clinical testing in currently underrepresented populations.
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Affiliation(s)
- Emily G. Miller
- Stanford Center for Biomedical Ethics, Stanford University School of Medicine, Stanford, California
| | - Jennifer L. Young
- Stanford Center for Biomedical Ethics, Stanford University School of Medicine, Stanford, California
- Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Anoushka Rao
- Stanford Center for Biomedical Ethics, Stanford University School of Medicine, Stanford, California
| | - Eliana Ward-Lev
- Stanford Center for Biomedical Ethics, Stanford University School of Medicine, Stanford, California
| | - Meghan C. Halley
- Stanford Center for Biomedical Ethics, Stanford University School of Medicine, Stanford, California
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8
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Miura MS, Suckiel SA, Naik H, Soper ER, Abul-Husn NS. Elective genetic testing: Genetics professionals' perspectives and practices. J Genet Couns 2022. [PMID: 36575824 DOI: 10.1002/jgc4.1666] [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: 07/20/2022] [Revised: 11/30/2022] [Accepted: 12/04/2022] [Indexed: 12/29/2022]
Abstract
Elective genetic testing (EGT) to identify disease risk in individuals who may or may not meet clinical criteria for testing is increasingly being offered in clinical practice. However, little is known about how EGT is currently implemented and how genetics professionals perceive this type of testing. We conducted a mixed-methods survey study to evaluate genetics professionals' perspectives and attitudes about EGT and describe the current landscape of EGT practices in the United States (U.S.) and Canada. Six clinical geneticists and 131 genetic counselors responded to the online survey, among whom 44% reported offering EGT in their practice. Over 84% of survey respondents agreed that EGT may improve health outcomes and understanding of genotype-phenotype correlations, and 85% agreed that potential risks include result misinterpretation and contribution to economic health disparities. Though most respondents felt comfortable providing pretest (77%) and post-test (86%) counseling for EGT, lack of provider resources (such as time and personnel) and prioritization of diagnostic testing were cited most frequently in free-text responses as reasons for not offering EGT. Of those offering EGT, 88% reported positive overall experiences. Qualitative analysis of open-ended questions identified benefits of EGT as expanding access to genetic testing, providing potential health benefits, and providing psychological benefits for patients. Disadvantages included prohibitive costs, limited clinical utility, and strain on resources. Overall, we found that genetics providers perceive both potential benefits and harms of EGT and that those offering this testing had generally positive experiences, although ethical reservations and practical limitations exist.
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Affiliation(s)
- Madison S Miura
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Sabrina A Suckiel
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Division of Genomic Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Hetanshi Naik
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Emily R Soper
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Division of Genomic Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Noura S Abul-Husn
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Division of Genomic Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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McCormick CZ, Yu KD, Johns A, Campbell-Salome G, Hallquist MLG, Sturm AC, Buchanan AH. Investigating Psychological Impact after Receiving Genetic Risk Results-A Survey of Participants in a Population Genomic Screening Program. J Pers Med 2022; 12:jpm12121943. [PMID: 36556164 PMCID: PMC9781266 DOI: 10.3390/jpm12121943] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 11/17/2022] [Accepted: 11/19/2022] [Indexed: 11/24/2022] Open
Abstract
Genomic screening programs have potential to benefit individuals who may not be clinically ascertained, but little is known about the psychological impact of receiving genetic results in this setting. The current study sought to further the understanding of individuals’ psychological response to receiving an actionable genetic test result from genomic screening. Telephone surveys were conducted with patient-participants at 6 weeks and 6 months post genetic result disclosure between September 2019 and May 2021 and assessed emotional response to receiving results via the FACToR, PANAS, and decision regret scales. Overall, 354 (29.4%) study participants completed both surveys. Participants reported moderate positive emotions and low levels of negative emotions, uncertainty, privacy concern, and decision regret over time. There were significant decreases in negative emotions (p = 0.0004) and uncertainty (p = 0.0126) between time points on the FACToR scale. “Interested” was the highest scoring discrete emotion (T1 3.6, T2 3.3, scale 0−5) but was significantly lower at 6 months (<0.0001). Coupled with other benefits of genomic screening, these results of modest psychological impact waning over time adds support to clinical utility of population genomic screening programs. However, questions remain regarding how to elicit an emotional response that motivates behavior change without causing psychological harm.
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Affiliation(s)
| | | | - Alicia Johns
- Department of Population Health Sciences, Geisinger, Danville, PA 17822, USA
| | - Gemme Campbell-Salome
- Department of Genomic Health, Geisinger, Danville, PA 17822, USA
- Department of Population Health Sciences, Geisinger, Danville, PA 17822, USA
| | | | - Amy C. Sturm
- Department of Genomic Health, Geisinger, Danville, PA 17822, USA
- 23andMe, Sunnyvale, CA 94086, USA
| | - Adam H. Buchanan
- Department of Genomic Health, Geisinger, Danville, PA 17822, USA
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10
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Dusic EJ, Theoryn T, Wang C, Swisher EM, Bowen DJ. Barriers, interventions, and recommendations: Improving the genetic testing landscape. Front Digit Health 2022; 4:961128. [PMID: 36386046 PMCID: PMC9665160 DOI: 10.3389/fdgth.2022.961128] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2022] [Accepted: 09/27/2022] [Indexed: 11/06/2022] Open
Abstract
Individual, provider, clinic, and societal level barriers have been shown to undermine the potential impact of genetic testing. The current approach in the primary care setting places an exorbitant burden on both providers and patients. Current literature provides insight into how to address barriers across multiple levels (patient, provider, clinic, system) and at multiple stages in the testing process (identification, referral, counseling, and testing) but interventions have had limited success. After outlining the current approach to genetic testing in the primary care setting, including the barriers that prevent genetic testing uptake and the methods proposed to address these issues, we recommend integrating genetic testing into routine medical care through population-based testing. Success in efforts to increase the uptake of genetic testing will not occur without significant changes to the way genetic services are delivered. These changes will not be instantaneous but are critical in moving this field forward to realize the potential for cancer risk genetic assessment to reduce cancer burden.
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Affiliation(s)
- E. J. Dusic
- Institute of Public Health Genetics, Department of Biostatistics, University of Washington, Seattle, WA, United States
- Correspondence: E. J. Dusic
| | - Tesla Theoryn
- Institute of Public Health Genetics, Department of Biostatistics, University of Washington, Seattle, WA, United States
| | - Catharine Wang
- Department of Community Health Sciences, Boston University School of Public Health, Boston, MA, United States
| | - Elizabeth M. Swisher
- Department of Obstetrics and Gynecology, Fred Hutchinson Cancer Center, University of Washington, Seattle, WA, United States
| | - Deborah J. Bowen
- Institute of Public Health Genetics, Department of Biostatistics, University of Washington, Seattle, WA, United States
- Department of Bioethics, University of Washington, Seattle, WA, United States
| | - EDGE Study Team
- Beth Devine, Department of Pharmacy, University of Washington, Seattle, WA, United States
- Barbara Norquist, Department of Obstetrics & Gynecology, University of Washington Medical Center, University of Washington, Seattle, WA, United States
- Brian Shirts, Department of Laboratory Medicine & Pathology, University of Washington Medical Center, University of Washington, Seattle, WA, United States
- Mariebeth Velasquez, Department of Family Medicine, University of Washington Medical Center, University of Washington, Seattle, WA, United States
- Michael Raff, Genomics Institute, MultiCare Health System, Tacoma, WA, United States
- Jeannine M. Brant, Clinical Science & Innovation, Billings Clinic, Billings, MT, United States
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11
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Assessing Vietnamese American patient perspectives on population genetic testing in primary care: A community-engaged approach. HGG ADVANCES 2022; 3:100134. [PMID: 36039118 PMCID: PMC9418978 DOI: 10.1016/j.xhgg.2022.100134] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Accepted: 08/03/2022] [Indexed: 12/04/2022] Open
Abstract
Achieving health equity in precision medicine remains a critical challenge because of the continued underrepresentation of non-white populations in research and barriers to genetic services. The goal of this study was to explore Vietnamese American (VA) participant views toward incorporating genetics in routine healthcare to better serve the local VA community within an integrated health system offering primary care-based population genetic testing to adults for conditions that could be prevented or mitigated when detected early. We conducted semi-structured interviews from August–September 2021, with 22 individuals receiving primary care who self-identified as Vietnamese or VA, and employed rapid qualitative analysis (RQA) to identify key concepts. Community research team members participated in study design, data collection, RQA, and reporting. Findings from the interviews revealed that several participant perceived challenges to genetic testing, which included lack of information, fear of results impact, cost, and privacy concerns. Participants suggested various ways to overcome some of these barriers, such as decreasing the cost of testing, receiving information from a trusted physician, using preferred education strategies in the community, and having convenient access to testing. Study participants also shared a variety of trusted sources they would seek out for advice on genetic testing. This study with VAs identified barriers, facilitators, and messengers to offering genetic testing in a local healthcare context and demonstrated how community-engaged research coupled with RQA is a promising approach for healthcare institutions as they identify needs and tailor strategies for implementing population genetic screening programs in local ethnic communities.
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12
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Bombard Y, Ginsburg GS, Sturm AC, Zhou AY, Lemke AA. Digital health-enabled genomics: Opportunities and challenges. Am J Hum Genet 2022; 109:1190-1198. [PMID: 35803232 PMCID: PMC9300757 DOI: 10.1016/j.ajhg.2022.05.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
Digital health solutions, with apps, virtual care, and electronic medical records, are gaining momentum across all medical disciplines, and their adoption has been accelerated, in part, by the COVID-19 pandemic. Personal wearables, sensors, and mobile technologies are increasingly being used to identify health risks and assist in diagnosis, treatment, and monitoring of health and disease. Genomics is a vanguard of digital healthcare as we witness a convergence of the fields of genomic and digital medicine. Spurred by the acute need to increase health literacy, empower patients' preference-sensitive decisions, or integrate vast amounts of complex genomic data into the clinical workflow, there has been an emergence of digital support tools in genomics-enabled care. We present three use cases that demonstrate the application of these converging technologies: digital genomics decision support tools, conversational chatbots to scale the genetic counseling process, and the digital delivery of comprehensive genetic services. These digital solutions are important to facilitate patient-centered care delivery, improve patient outcomes, and increase healthcare efficiencies in genomic medicine. Yet the development of these innovative digital genomic technologies also reveals strategic challenges that need to be addressed before genomic digital health can be broadly adopted. Alongside key evidentiary gaps in clinical and cost-effectiveness, there is a paucity of clinical guidelines, policy, and regulatory frameworks that incorporate digital health. We propose a research agenda, guided by learning healthcare systems, to realize the vision of digital health-enabled genomics to ensure its sustainable and equitable deployment in clinical care.
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Affiliation(s)
- Yvonne Bombard
- University of Toronto, Genomics Health Services Research Program, St. Michael’s Hospital, Unity Health Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada,Corresponding author
| | - Geoffrey S. Ginsburg
- All of Us Research Program, National Institutes of Health, Bethesda, MD 20892, USA
| | - Amy C. Sturm
- 23andMe, 223 North Mathilda Avenue, Sunnyvale, CA 94086, USA
| | - Alicia Y. Zhou
- Color Health, Inc, 831 Mitten Road, Burlingame, CA 94010, USA
| | - Amy A. Lemke
- Norton Children’s Research Institute, Affiliated with the University of Louisville School of Medicine, 571 South Floyd Street, Louisville, KY 40202, USA
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13
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Wildin RS, Giummo CA, Reiter AW, Peterson TC, Leonard DGB. Primary Care Implementation of Genomic Population Health Screening Using a Large Gene Sequencing Panel. Front Genet 2022; 13:867334. [PMID: 35547253 PMCID: PMC9081681 DOI: 10.3389/fgene.2022.867334] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 03/21/2022] [Indexed: 11/17/2022] Open
Abstract
To realize the promise of genomic medicine, harness the power of genomic technologies, and capitalize on the extraordinary pace of research linking genomic variation to disease risks, healthcare systems must embrace and integrate genomics into routine healthcare. We have implemented an innovative pilot program for genomic population health screening for any-health-status adults within the largest health system in Vermont, United States. This program draws on key research and technological advances to safely extract clinical value for genomics in routine health care. The program offers no-cost, non-research DNA sequencing to patients by their primary care providers as a preventive health tool. We partnered with a commercial clinical testing company for two next generation sequencing gene panels comprising 431 genes related to both high and low-penetrance common health risks and carrier status for recessive disorders. Only pathogenic or likely pathogenic variants are reported. Routine written clinical consultation is provided with a concise, clinical “action plan” that presents core messages for primary care provider and patient use and supports clinical management and health education beyond the testing laboratory’s reports. Access to genetic counseling is free in most cases. Predefined care pathways and access to genetics experts facilitates the appropriate use of results. This pilot tests the feasibility of routine, ethical, and scalable use of population genomic screening in healthcare despite generally imperfect genomic competency among both the public and health care providers. This article describes the program design, implementation process, guiding philosophies, and insights from 2 years of experience offering testing and returning results in primary care settings. To aid others planning similar programs, we review our barriers, solutions, and perceived gaps in the context of an implementation research framework.
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Affiliation(s)
- Robert S Wildin
- Department of Pathology & Laboratory Medicine, University of Vermont Health Network and Robert Larner M.D. College of Medicine at the University of Vermont, Burlington, VT, United States.,Department of Pediatrics, University of Vermont Health Network and Robert Larner M.D. College of Medicine at the University of Vermont, Burlington, VT, United States
| | - Christine A Giummo
- Department of Pathology & Laboratory Medicine, University of Vermont Health Network and Robert Larner M.D. College of Medicine at the University of Vermont, Burlington, VT, United States.,Department of Pediatrics, University of Vermont Health Network and Robert Larner M.D. College of Medicine at the University of Vermont, Burlington, VT, United States
| | - Aaron W Reiter
- Department of Family Medicine, University of Vermont Health Network and Robert Larner M.D. College of Medicine at the University of Vermont, Burlington, VT, United States
| | - Thomas C Peterson
- Department of Family Medicine, University of Vermont Health Network and Robert Larner M.D. College of Medicine at the University of Vermont, Burlington, VT, United States
| | - Debra G B Leonard
- Department of Pathology & Laboratory Medicine, University of Vermont Health Network and Robert Larner M.D. College of Medicine at the University of Vermont, Burlington, VT, United States
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14
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Martin JL, Lee YM, Corbin LW, Colson R, Aquilante CL. Patients' perspectives of a pharmacist-provided clinical pharmacogenomics service. Pharmacogenomics 2022; 23:463-474. [PMID: 35469451 DOI: 10.2217/pgs-2022-0013] [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] [Indexed: 12/16/2022] Open
Abstract
Aim: To assess the perspectives and experiences of patients who participated in a pharmacist-provided clinical pharmacogenomics (PGx) service. Methods: We conducted individual semistructured interviews with 16 patients who received a pharmacist-provided PGx service. Qualitative data were analyzed to identify pertinent themes. Results: The major themes identified were: heterogeneity of patient PGx experiences and preferences, pharmacists as appropriate providers of PGx services, considerations regarding the use of PGx results in routine healthcare, and perceived applications of PGx testing. Theme-derived considerations included the need to establish appropriate pre-genotyping expectations, individualize patient education, facilitate collaboration with patients' providers and sustainably update patients' PGx information over time. Conclusion: Patient-specific perspectives such as these are important to consider when providing clinical PGx services, with intention of optimizing patient experiences.
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Affiliation(s)
- James L Martin
- Department of Pharmaceutical Sciences, University of Colorado, Skaggs School of Pharmacy & Pharmaceutical Sciences, Aurora, CO 80045, USA
| | - Yee Ming Lee
- Department of Clinical Pharmacy, University of Colorado, Skaggs School of Pharmacy & Pharmaceutical Sciences, Aurora, CO 80045, USA
| | - Lisa W Corbin
- Division of General Internal Medicine, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Ronald Colson
- Division of General Internal Medicine, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Christina L Aquilante
- Department of Pharmaceutical Sciences, University of Colorado, Skaggs School of Pharmacy & Pharmaceutical Sciences, Aurora, CO 80045, USA
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15
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Pritchard D, Hulick PJ, Wells CJ. The integration of personalized medicine into health systems: progress and a path forward. Per Med 2021; 18:527-531. [PMID: 34672204 DOI: 10.2217/pme-2021-0102] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Tweetable abstract Fueled by technological advancements and the integration efforts of many pioneer health systems, personalized medicine is now being clinically implemented at measurable but incomplete levels system-wide.
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Affiliation(s)
- Daryl Pritchard
- Personalized Medicine Coalition, 1710 Rhode Island Avenue, NW, Washington, DC 20036, USA
| | - Peter J Hulick
- Mark R Neaman Center for Personalized Medicine, NorthShore University HealthSystem, 2650 Ridge Avenue, Evanston, IL 60201, USA
| | - Christopher J Wells
- Personalized Medicine Coalition, 1710 Rhode Island Avenue, NW, Washington, DC 20036, USA
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16
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Amendola LM, Golden-Grant K, Scollon S. Scaling Genetic Counseling in the Genomics Era. Annu Rev Genomics Hum Genet 2021; 22:339-355. [PMID: 33722076 DOI: 10.1146/annurev-genom-110320-121752] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
The development of massively parallel sequencing-based genomic sequencing tests has increased genetic test availability and access. The field and practice of genetic counseling have adapted in response to this paradigm-shifting technology and the subsequent transition to practicing genomic medicine. While the key elements defining genetic counseling remain relevant, genetic counseling service delivery models and practice settings have evolved. Genetic counselors are addressing the challenges of direct-to-consumer and consumer-driven genetic testing, and genetic counseling training programs are responding to the ongoing increased demand for genetic counseling services across a broadening range of contexts. The need to diversify both the patient and participant groups with access to genetic information, as well as the field of genetic counseling, is at the forefront of research and training program initiatives. Genetic counselors are key stakeholders in the genomics era, and their contributions are essential to effectively and equitably deliver precision medicine.
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Affiliation(s)
- Laura M Amendola
- Department of Medicine, Division of Medical Genetics, University of Washington Medical Center, Seattle, Washington 98195, USA; ,
| | - Katie Golden-Grant
- Department of Medicine, Division of Medical Genetics, University of Washington Medical Center, Seattle, Washington 98195, USA; ,
| | - Sarah Scollon
- Department of Pediatrics, Baylor College of Medicine, Houston, Texas 77030, USA;
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