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Berkalieva A, Kelly NR, Fisher A, Hohmann SF, Abul-Husn NS, Greally JM, Horowitz CR, Wasserstein MP, Kenny EE, Gelb BD, Ferket BS. Physician and informal care use explained by the Pediatric Quality of Life Inventory (PedsQL) in children with suspected genetic disorders. Qual Life Res 2024:10.1007/s11136-024-03677-1. [PMID: 38743313 DOI: 10.1007/s11136-024-03677-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/01/2024] [Indexed: 05/16/2024]
Abstract
PURPOSE To examine associations between Pediatric Quality of Life Inventory (PedsQL) 4.0 Generic Core Scales and PedsQL Infant Scales with formal health care resource utilization (HCRU) and informal caregiver burden. METHODS We studied a pediatric cohort of 837 patients (median age: 8.4 years) with suspected genetic disorders enrolled January 2019 through July 2021 in the NYCKidSeq program for diagnostic sequencing. Using linked ~ nine-month longitudinal survey and physician claims data collected through May 2022, we modeled the association between baseline PedsQL scores and post-baseline HCRU (median follow-up: 21.1 months) and informal care. We also assessed the longitudinal change in PedsQL scores with physician services using linear mixed-effects models. RESULTS Lower PedsQL total and physical health scores were independently associated with increases in 18-month physician services, encounters, and weekly informal care. Comparing low vs. median total scores, increases were 10.6 services (95% CI: 1.0-24.6), 3.3 encounters (95% CI: 0.5-6.8), and $668 (95% CI: $350-965), respectively. For the psychosocial domain, higher scores were associated with decreased informal care. Based on adjusted linear mixed-effects modeling, every additional ten physician services was associated with diminished improvement in longitudinal PedsQL total score trajectories by 1.1 point (95% confidence interval: 0.6-1.6) on average. Similar trends were observed in the physical and psychosocial domains. CONCLUSION PedsQL scores were independently associated with higher utilization of physician services and informal care. Moreover, longitudinal trajectories of PedsQL scores became less favorable with increased physician services. Adding PedsQL survey instruments to conventional measures for improved risk stratification should be evaluated in further research.
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Affiliation(s)
- Asem Berkalieva
- Institute for Healthcare Delivery Science, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1077, New York, NY, 10029-6574, USA
| | - Nicole R Kelly
- Division of Pediatric Genetic Medicine, Department of Pediatrics, Children's Hospital at Montefiore/Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Ashley Fisher
- Center for Advanced Analytics, Vizient, Chicago, IL, USA
| | | | - Noura S Abul-Husn
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- 23andMe Inc, Sunnyvale, CA, USA
- Division for Genomic Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - John M Greally
- Division of Genomics, Department of Genetics, Children's Hospital at Montefiore/Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Carol R Horowitz
- Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Division of General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Melissa P Wasserstein
- Division of Pediatric Genetic Medicine, Department of Pediatrics, Children's Hospital at Montefiore/Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Eimear E Kenny
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Division for Genomic Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Bruce D Gelb
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Bart S Ferket
- Institute for Healthcare Delivery Science, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1077, New York, NY, 10029-6574, USA.
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2
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Baldridge D, Kaster L, Sancimino C, Srivastava S, Molholm S, Gupta A, Oh I, Lanzotti V, Grewal D, Riggs ER, Savatt JM, Hauck R, Sveden A, Constantino JN, Piven J, Gurnett CA, Chopra M, Hazlett H, Payne PRO. The Brain Gene Registry: a data snapshot. J Neurodev Disord 2024; 16:17. [PMID: 38632549 PMCID: PMC11022437 DOI: 10.1186/s11689-024-09530-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 03/27/2024] [Indexed: 04/19/2024] Open
Abstract
Monogenic disorders account for a large proportion of population-attributable risk for neurodevelopmental disabilities. However, the data necessary to infer a causal relationship between a given genetic variant and a particular neurodevelopmental disorder is often lacking. Recognizing this scientific roadblock, 13 Intellectual and Developmental Disabilities Research Centers (IDDRCs) formed a consortium to create the Brain Gene Registry (BGR), a repository pairing clinical genetic data with phenotypic data from participants with variants in putative brain genes. Phenotypic profiles are assembled from the electronic health record (EHR) and a battery of remotely administered standardized assessments collectively referred to as the Rapid Neurobehavioral Assessment Protocol (RNAP), which include cognitive, neurologic, and neuropsychiatric assessments, as well as assessments for attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD). Co-enrollment of BGR participants in the Clinical Genome Resource's (ClinGen's) GenomeConnect enables display of variant information in ClinVar. The BGR currently contains data on 479 participants who are 55% male, 6% Asian, 6% Black or African American, 76% white, and 12% Hispanic/Latine. Over 200 genes are represented in the BGR, with 12 or more participants harboring variants in each of these genes: CACNA1A, DNMT3A, SLC6A1, SETD5, and MYT1L. More than 30% of variants are de novo and 43% are classified as variants of uncertain significance (VUSs). Mean standard scores on cognitive or developmental screens are below average for the BGR cohort. EHR data reveal developmental delay as the earliest and most common diagnosis in this sample, followed by speech and language disorders, ASD, and ADHD. BGR data has already been used to accelerate gene-disease validity curation of 36 genes evaluated by ClinGen's BGR Intellectual Disability (ID)-Autism (ASD) Gene Curation Expert Panel. In summary, the BGR is a resource for use by stakeholders interested in advancing translational research for brain genes and continues to recruit participants with clinically reported variants to establish a rich and well-characterized national resource to promote research on neurodevelopmental disorders.
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Affiliation(s)
- Dustin Baldridge
- Department of Pediatrics, Washington University School of Medicine in St. Louis, St. Louis, MO, USA.
| | - Levi Kaster
- Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Catherine Sancimino
- Department of Pediatrics, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Siddharth Srivastava
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Rosamund Stone Zander Translational Neuroscience Center, Boston Children's Hospital, Boston, MA, USA
| | - Sophie Molholm
- Departments of Pediatrics and Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Aditi Gupta
- Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Inez Oh
- Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Virginia Lanzotti
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Daleep Grewal
- Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Erin Rooney Riggs
- Autism and Developmental Medicine Institute, Geisinger, Danville, PA, USA
| | | | - Rachel Hauck
- Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Abigail Sveden
- Rosamund Stone Zander Translational Neuroscience Center, Boston Children's Hospital, Boston, MA, USA
| | - John N Constantino
- Division of Behavioral and Mental Health, Departments of Psychiatry and Pediatrics, Children's Healthcare of Atlanta, Emory University, Atlanta, GA, USA
| | - Joseph Piven
- The Carolina Institute for Developmental Disabilities, University of North Carolina, Chapel Hill, NC, USA
| | - Christina A Gurnett
- Department of Neurology, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Maya Chopra
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Rosamund Stone Zander Translational Neuroscience Center, Boston Children's Hospital, Boston, MA, USA
| | - Heather Hazlett
- The Carolina Institute for Developmental Disabilities, University of North Carolina, Chapel Hill, NC, USA
| | - Philip R O Payne
- Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
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3
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Smith HS, Leo M, Goddard K, Muessig K, Angelo F, Knight S, Outram S, Kelly NR, Rini C. Measuring health-related quality of life in children with suspected genetic conditions: validation of the PedsQL proxy-report versions. Qual Life Res 2024:10.1007/s11136-024-03623-1. [PMID: 38472717 DOI: 10.1007/s11136-024-03623-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/26/2024] [Indexed: 03/14/2024]
Abstract
PURPOSE Measuring health-related quality of life (HRQoL) of children with suspected genetic conditions is important for understanding the effect of interventions such as genomic sequencing (GS). The Pediatric Quality of Life Inventory (PedsQL) is a widely used generic measure of HRQoL in pediatric patients, but its psychometric properties have not yet been evaluated in children undergoing diagnostic GS. METHODS In this cross-sectional study, we surveyed caregivers at the time of their child's enrollment into GS research studies as part of the Clinical Sequencing Evidence Generating Research (CSER) consortium. To evaluate structural validity of the PedsQL 4.0 Generic Core Scales and PedsQL Infant Scales parent proxy-report versions, we performed a confirmatory factor analysis of the hypothesized factor structure. To evaluate convergent validity, we examined correlations between caregivers' reports of their child's health, assessed using the EQ VAS, and PedsQL scores by child age. We conducted linear regression analyses to examine whether age moderated the association between caregiver-reported child health and PedsQL scores. We assessed reliability using Cronbach's alpha. RESULTS We analyzed data for 766 patients across all PedsQL age group versions (1-12 months through 13-18 years). Model fit failed to meet criteria for good fit, even after modification. Neither age group (categorical) nor age (continuous) significantly moderated associations between PedsQL scores and caregiver-reported child health. Cronbach's alphas indicated satisfactory internal consistency for most PedsQL scales. CONCLUSION The PedsQL Generic Core Scales and Infant Scales may be appropriate to measure HRQoL in pediatric patients with suspected genetic conditions across a wide age range. While we found evidence of acceptable internal consistency and preliminary convergent validity in this sample, there were some potential problems with structural validity and reliability that require further attention.
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Affiliation(s)
- Hadley Stevens Smith
- Department of Population Medicine, Harvard Medical School, 401 Park Drive, Suite 401, Boston, MA, 02215, USA.
| | - Michael Leo
- Kaiser Permanente Center for Health Research, Portland, OR, USA
| | - Katrina Goddard
- Department of Translational and Applied Genomics (TAG), Kaiser Permanente Center for Health Research, Portland, OR, USA
| | - Kristin Muessig
- Department of Translational and Applied Genomics (TAG), Kaiser Permanente Center for Health Research, Portland, OR, USA
| | - Frank Angelo
- Institute for Sexual and Gender Minority Health and Wellbeing, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Sara Knight
- Department of Internal Medicine, Division of Epidemiology, University of Utah, Salt Lake City, UT, USA
| | - Simon Outram
- Program in Bioethics, University of California San Francisco, San Francisco, CA, USA
| | - Nicole R Kelly
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Christine Rini
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, The Robert H. Lurie Comprehensive Cancer Center of Northwestern University, Chicago, IL, USA
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4
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Vuocolo B, German RJ, Lalani SR, Murali CN, Bacino CA, Baskin S, Littlejohn R, Odom JD, McLean S, Schmid C, Nutter M, Stuebben M, Magness E, Juarez O, El Achi D, Mitchell B, Glinton KE, Robak L, Nagamani SCS, Saba L, Ritenour A, Zhang L, Streff H, Chan K, Kemere KJ, Carter K, Owen N, Vossaert L, Liu P, Bellen H, Wangler MF. Improving access to exome sequencing in a medically underserved population through the Texome Project. Genet Med 2024; 26:101102. [PMID: 38431799 DOI: 10.1016/j.gim.2024.101102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 02/16/2024] [Accepted: 02/21/2024] [Indexed: 03/05/2024] Open
Abstract
PURPOSE Genomic medicine can end diagnostic odysseys for patients with complex phenotypes; however, limitations in insurance coverage and other systemic barriers preclude individuals from accessing comprehensive genetics evaluation and testing. METHODS The Texome Project is a 4-year study that reduces barriers to genomic testing for individuals from underserved and underrepresented populations. Participants with undiagnosed, rare diseases who have financial barriers to obtaining exome sequencing (ES) clinically are enrolled in the Texome Project. RESULTS We highlight the Texome Project process and describe the outcomes of the first 60 ES results for study participants. Participants received a genetic evaluation, ES, and return of results at no cost. We summarize the psychosocial or medical implications of these genetic diagnoses. Thus far, ES provided molecular diagnoses for 18 out of 60 (30%) of Texome participants. Plus, in 11 out of 60 (18%) participants, a partial or probable diagnosis was identified. Overall, 5 participants had a change in medical management. CONCLUSION To date, the Texome Project has recruited a racially, ethnically, and socioeconomically diverse cohort. The diagnostic rate and medical impact in this cohort support the need for expanded access to genetic testing and services. The Texome Project will continue reducing barriers to genomic care throughout the future study years.
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Affiliation(s)
- Blake Vuocolo
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX; Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX
| | - Ryan J German
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX; Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX
| | - Seema R Lalani
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX
| | - Chaya N Murali
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX
| | - Carlos A Bacino
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX
| | - Stephanie Baskin
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX; Department of Pediatrics, Baylor College of Medicine, San Antonio, TX
| | | | - John D Odom
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX; Department of Pediatrics, Baylor College of Medicine, San Antonio, TX
| | - Scott McLean
- Department of Pediatrics, Baylor College of Medicine, San Antonio, TX
| | - Carrie Schmid
- Department of Pediatrics, Baylor College of Medicine, San Antonio, TX
| | - Morgan Nutter
- Department of Pediatrics, Baylor College of Medicine, San Antonio, TX
| | - Melissa Stuebben
- Department of Pediatrics, Baylor College of Medicine, San Antonio, TX
| | - Emily Magness
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX
| | - Olivia Juarez
- Department of Pediatrics, Baylor College of Medicine, San Antonio, TX
| | - Dina El Achi
- Department of Pediatrics, Baylor College of Medicine, San Antonio, TX
| | - Bailey Mitchell
- Department of Pediatrics, Baylor College of Medicine, San Antonio, TX
| | - Kevin E Glinton
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX
| | - Laurie Robak
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX
| | - Sandesh C S Nagamani
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX; Texas Children's Hospital Department of Pathology, Houston, TX
| | - Lisa Saba
- Texas Children's Hospital Department of Pathology, Houston, TX
| | - Adasia Ritenour
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX
| | - Lilei Zhang
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX
| | - Haley Streff
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX; Texas Children's Hospital Department of Pathology, Houston, TX
| | - Katie Chan
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX
| | - K Jordan Kemere
- Department of Internal Medicine, Section Transition Medicine, Baylor College of Medicine and Texas Children's Hospital, Houston, TX
| | - Kent Carter
- Department of Pediatrics, University of Texas Rio Grande Valley, Harlingen, TX
| | | | | | | | - Hugo Bellen
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX; Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX
| | - Michael F Wangler
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX; Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX.
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5
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Berkalieva A, Kelly NR, Fisher A, Hohmann SF, Sebastin M, Di Biase M, Bonini KE, Marathe P, Odgis JA, Suckiel SA, Ramos MA, Rhodes R, Abul-Husn NS, Greally JM, Horowitz CR, Wasserstein MP, Kenny EE, Gelb BD, Ferket BS. Physician services and costs after disclosure of diagnostic sequencing results in the NYCKidSeq program. Genet Med 2024; 26:101011. [PMID: 37897232 PMCID: PMC10842442 DOI: 10.1016/j.gim.2023.101011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 10/19/2023] [Accepted: 10/22/2023] [Indexed: 10/29/2023] Open
Abstract
PURPOSE To better understand the effects of returning diagnostic sequencing results on clinical actions and economic outcomes for pediatric patients with suspected genetic disorders. METHODS Longitudinal physician claims data after diagnostic sequencing were obtained for patients aged 0 to 21 years with neurologic, cardiac, and immunologic disorders with suspected genetic etiology. We assessed specialist consultation rates prompted by primary diagnostic results, as well as marginal effects on overall 18-month physician services and costs. RESULTS We included data on 857 patients (median age: 9.6 years) with a median follow-up of 17.3 months after disclosure of diagnostic sequencing results. The likelihood of having ≥1 recommendation for specialist consultation in 155 patients with positive findings was high (72%) vs 23% in 443 patients with uncertain findings and 21% in 259 patients with negative findings (P < .001). Follow-through consultation occurred in 30%. Increases in 18-month physician services and costs following a positive finding diminished after multivariable adjustment. Also, no significant differences between those with uncertain and negative findings were demonstrated. CONCLUSION Our study did not provide evidence for significant increases in downstream physician services and costs after returning positive or uncertain diagnostic sequencing findings. More large-scale longitudinal studies are needed to confirm these findings.
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Affiliation(s)
- Asem Berkalieva
- Institute for Healthcare Delivery Science, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Nicole R Kelly
- Division of Pediatric Genetic Medicine, Department of Pediatrics, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY
| | | | | | - Monisha Sebastin
- Division of Pediatric Genetic Medicine, Department of Pediatrics, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY
| | - Miranda Di Biase
- Division of Pediatric Genetic Medicine, Department of Pediatrics, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY
| | - Katherine E Bonini
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Priya Marathe
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Jacqueline A Odgis
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Sabrina A Suckiel
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Michelle A Ramos
- Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Rosamond Rhodes
- Department of Education, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Noura S Abul-Husn
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY; 23andMe Inc, Sunnyvale, CA
| | - John M Greally
- Division of Genomics, Department of Genetics, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY
| | - Carol R Horowitz
- Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, NY; Division of General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Melissa P Wasserstein
- Division of Pediatric Genetic Medicine, Department of Pediatrics, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY
| | - Eimear E Kenny
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY; Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY; Division for Genomic Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Bruce D Gelb
- Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Bart S Ferket
- Institute for Healthcare Delivery Science, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY.
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6
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Suckiel SA, Kelly NR, Odgis JA, Gallagher KM, Sebastin M, Bonini KE, Marathe PN, Brown K, Di Biase M, Ramos MA, Rodriguez JE, Scarimbolo L, Insel BJ, Ferar KDM, Zinberg RE, Diaz GA, Greally JM, Abul-Husn NS, Bauman LJ, Gelb BD, Horowitz CR, Wasserstein MP, Kenny EE. The NYCKidSeq randomized controlled trial: Impact of GUÍA digitally enhanced genetic results disclosure in diverse families. Am J Hum Genet 2023; 110:2029-2041. [PMID: 38006881 PMCID: PMC10716481 DOI: 10.1016/j.ajhg.2023.10.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2023] [Revised: 10/26/2023] [Accepted: 10/27/2023] [Indexed: 11/27/2023] Open
Abstract
Digital solutions are needed to support rapid increases in the application of genetic/genomic tests (GTs) in diverse clinical settings and patient populations. We developed GUÍA, a bilingual digital application that facilitates disclosure of GT results. The NYCKidSeq randomized controlled trial enrolled diverse children with neurologic, cardiac, and immunologic conditions who underwent GTs. The trial evaluated GUÍA's impact on understanding the GT results by randomizing families to results disclosure genetic counseling with GUÍA (intervention) or standard of care (SOC). Parents/legal guardians (participants) completed surveys at baseline, post-results disclosure, and 6 months later. Survey measures assessed the primary study outcomes of participants' perceived understanding of and confidence in explaining their child's GT results and the secondary outcome of objective understanding. The analysis included 551 diverse participants, 270 in the GUÍA arm and 281 in SOC. Participants in the GUÍA arm had significantly higher perceived understanding post-results (OR = 2.8, CI[1.004, 7.617], p = 0.049) and maintained higher objective understanding over time (OR = 1.1, CI[1.004, 1.127], p = 0.038) compared to SOC. There was no impact on perceived confidence. Hispanic/Latino(a) individuals in the GUÍA arm maintained higher perceived understanding (OR = 3.9, CI[1.603, 9.254], p = 0.003), confidence (OR = 2.7, CI[1.021, 7.277], p = 0.046), and objective understanding (OR = 1.1, CI[1.009, 1.212], p = 0.032) compared to SOC. This trial demonstrates that GUÍA positively impacts understanding of GT results in diverse parents of children with suspected genetic conditions and builds a case for utilizing GUÍA to deliver complex results. Continued development and evaluation of digital applications in diverse populations are critical for equitably scaling GT offerings in specialty clinics.
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Affiliation(s)
- Sabrina A Suckiel
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
| | - Nicole R Kelly
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY 10467, USA
| | - Jacqueline A Odgis
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Katie M Gallagher
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY 10467, USA
| | - Monisha Sebastin
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY 10467, USA
| | - Katherine E Bonini
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Priya N Marathe
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Kaitlyn Brown
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY 10467, USA
| | - Miranda Di Biase
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY 10467, USA
| | - Michelle A Ramos
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Jessica E Rodriguez
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Laura Scarimbolo
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Beverly J Insel
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Kathleen D M Ferar
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Randi E Zinberg
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Obstetrics, Gynecology and Reproductive Science, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - George A Diaz
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - John M Greally
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY 10467, USA
| | - Noura S Abul-Husn
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Laurie J Bauman
- Department of Psychiatry and Behavioral Sciences, Albert Einstein College of Medicine, Bronx, NY 10467, USA; Department of Pediatrics, Albert Einstein College of Medicine, Bronx, NY 10467, USA
| | - Bruce D Gelb
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Carol R Horowitz
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Melissa P Wasserstein
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY 10467, USA
| | - Eimear E Kenny
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
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7
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Abul-Husn NS, Marathe PN, Kelly NR, Bonini KE, Sebastin M, Odgis JA, Abhyankar A, Brown K, Di Biase M, Gallagher KM, Guha S, Ioele N, Okur V, Ramos MA, Rodriguez JE, Rehman AU, Thomas-Wilson A, Edelmann L, Zinberg RE, Diaz GA, Greally JM, Jobanputra V, Suckiel SA, Horowitz CR, Wasserstein MP, Kenny EE, Gelb BD. Molecular diagnostic yield of genome sequencing versus targeted gene panel testing in racially and ethnically diverse pediatric patients. Genet Med 2023; 25:100880. [PMID: 37158195 PMCID: PMC10789486 DOI: 10.1016/j.gim.2023.100880] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 04/27/2023] [Accepted: 04/30/2023] [Indexed: 05/10/2023] Open
Abstract
PURPOSE Adoption of genome sequencing (GS) as a first-line test requires evaluation of its diagnostic yield. We evaluated the GS and targeted gene panel (TGP) testing in diverse pediatric patients (probands) with suspected genetic conditions. METHODS Probands with neurologic, cardiac, or immunologic conditions were offered GS and TGP testing. Diagnostic yield was compared using a fully paired study design. RESULTS A total of 645 probands (median age 9 years) underwent genetic testing, and 113 (17.5%) received a molecular diagnosis. Among 642 probands with both GS and TGP testing, GS yielded 106 (16.5%) and TGPs yielded 52 (8.1%) diagnoses (P < .001). Yield was greater for GS vs TGPs in Hispanic/Latino(a) (17.2% vs 9.5%, P < .001) and White/European American (19.8% vs 7.9%, P < .001) but not in Black/African American (11.5% vs 7.7%, P = .22) population groups by self-report. A higher rate of inconclusive results was seen in the Black/African American (63.8%) vs White/European American (47.6%; P = .01) population group. Most causal copy number variants (17 of 19) and mosaic variants (6 of 8) were detected only by GS. CONCLUSION GS may yield up to twice as many diagnoses in pediatric patients compared with TGP testing but not yet across all population groups.
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Affiliation(s)
- Noura S Abul-Husn
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY; 23andMe, Inc., Sunnyvale, CA
| | - Priya N Marathe
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Nicole R Kelly
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY
| | - Katherine E Bonini
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Monisha Sebastin
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY
| | - Jacqueline A Odgis
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY
| | | | - Kaitlyn Brown
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY; Illumina Incorporated, San Diego, CA
| | - Miranda Di Biase
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY
| | - Katie M Gallagher
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY; Invitae Corporation, San Francisco, CA
| | - Saurav Guha
- Molecular Diagnostics, New York Genome Center, New York, NY
| | - Nicolette Ioele
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY; Memorial Sloan Kettering Cancer Center, New York, NY
| | - Volkan Okur
- Molecular Diagnostics, New York Genome Center, New York, NY
| | - Michelle A Ramos
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY; Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Jessica E Rodriguez
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY
| | | | | | | | - Randi E Zinberg
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY
| | - George A Diaz
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY; iECURE Incorporated, Philadelphia, PA
| | - John M Greally
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY
| | - Vaidehi Jobanputra
- Molecular Diagnostics, New York Genome Center, New York, NY; Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY
| | - Sabrina A Suckiel
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Carol R Horowitz
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY; Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Melissa P Wasserstein
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY
| | - Eimear E Kenny
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY.
| | - Bruce D Gelb
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY; Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY.
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8
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Bonini KE, Thomas-Wilson A, Marathe PN, Sebastin M, Odgis JA, Biase MD, Kelly NR, Ramos MA, Insel BJ, Scarimbolo L, Rehman AU, Guha S, Okur V, Abhyankar A, Phadke S, Nava C, Gallagher KM, Elkhoury L, Edelmann L, Zinberg RE, Abul-Husn NS, Diaz GA, Greally JM, Suckiel SA, Horowitz CR, Kenny EE, Wasserstein M, Gelb BD, Jobanputra V. Identification of copy number variants with genome sequencing: Clinical experiences from the NYCKidSeq program. Clin Genet 2023; 104:210-225. [PMID: 37334874 PMCID: PMC10505482 DOI: 10.1111/cge.14365] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 04/28/2023] [Accepted: 05/15/2023] [Indexed: 06/21/2023]
Abstract
Copy number variations (CNVs) play a significant role in human disease. While chromosomal microarray has traditionally been the first-tier test for CNV detection, use of genome sequencing (GS) is increasing. We report the frequency of CNVs detected with GS in a diverse pediatric cohort from the NYCKidSeq program and highlight specific examples of its clinical impact. A total of 1052 children (0-21 years) with neurodevelopmental, cardiac, and/or immunodeficiency phenotypes received GS. Phenotype-driven analysis was used, resulting in 183 (17.4%) participants with a diagnostic result. CNVs accounted for 20.2% of participants with a diagnostic result (37/183) and ranged from 0.5 kb to 16 Mb. Of participants with a diagnostic result (n = 183) and phenotypes in more than one category, 5/17 (29.4%) were solved by a CNV finding, suggesting a high prevalence of diagnostic CNVs in participants with complex phenotypes. Thirteen participants with a diagnostic CNV (35.1%) had previously uninformative genetic testing, of which nine included a chromosomal microarray. This study demonstrates the benefits of GS for reliable detection of CNVs in a pediatric cohort with variable phenotypes.
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Affiliation(s)
- Katherine E. Bonini
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY
| | | | - Priya N. Marathe
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Monisha Sebastin
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children’s Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY
| | - Jacqueline A. Odgis
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Miranda Di Biase
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children’s Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY
| | - Nicole R. Kelly
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children’s Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY
| | - Michelle A. Ramos
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY
- Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Beverly J. Insel
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Laura Scarimbolo
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY
| | | | - Saurav Guha
- Molecular Diagnostics, New York Genome Center, New York, NY
| | - Volkan Okur
- Molecular Diagnostics, New York Genome Center, New York, NY
| | | | - Shruti Phadke
- Molecular Diagnostics, New York Genome Center, New York, NY
| | - Caroline Nava
- Molecular Diagnostics, New York Genome Center, New York, NY
| | - Katie M. Gallagher
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children’s Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY
| | | | | | - Randi E. Zinberg
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY
- Department of Obstetrics, Gynecology and Reproductive Science, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Noura S. Abul-Husn
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - George A. Diaz
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY
| | - John M. Greally
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children’s Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY
| | - Sabrina A. Suckiel
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Carol R. Horowitz
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY
- Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Eimear E. Kenny
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Melissa Wasserstein
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children’s Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY
| | - Bruce D. Gelb
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY
- Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Vaidehi Jobanputra
- Molecular Diagnostics, New York Genome Center, New York, NY
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY
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9
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Serrano JG, O'Leary M, VanNoy GE, Mangilog BE, Holm IA, Fraiman YS, Rehm HL, O'Donnell-Luria A, Wojcik MH. Advancing Understanding of Inequities in Rare Disease Genomics. Clin Ther 2023; 45:745-753. [PMID: 37517917 PMCID: PMC10527807 DOI: 10.1016/j.clinthera.2023.06.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 05/07/2023] [Accepted: 06/02/2023] [Indexed: 08/01/2023]
Abstract
PURPOSE Advances in genomic research have facilitated rare disease diagnosis for thousands of individuals. Unfortunately, the benefits of advanced genetic diagnostic technology are not distributed equitably among the population, as has been seen in many other health care contexts. Quantifying and describing inequities in genetic diagnostic yield is inherently challenging due to barriers to both clinical and research genetic testing. We therefore present an implementation protocol developed to expand access to our rare disease genomic research study and to further understand existing inequities. METHODS AND FINDINGS The Rare Genomes Project (RGP) at the Broad Institute of MIT and Harvard offers research genome sequencing to individuals with rare disease who remain genetically undiagnosed through direct interaction with the individual or family. This presents an opportunity for diagnosis beyond the clinical context, thus eliminating many barriers to access. An initial goal of RGP was to equalize access to genomic sequencing by decoupling testing access from proximity to a major medical center and physician referral. However, study participants over the initial 3 years of this project were predominantly white and well resourced. To further understand and address the lack of diversity within RGP, we developed a novel protocol embedded within the larger RGP study, in an approach informed by an implementation science framework. The aims of this protocol were: (1) to diversify recruitment and enrollment within RGP; (2) understand the process and context of implementing genomic medicine for rare disease diagnosis; and (3) investigate the value of a diagnosis for underserved populations. IMPLICATIONS Improved understanding of existing inequities and potential strategies to address them are needed to advance equity in rare disease genetic diagnosis and research. In addition to the moral imperative of equity in genomic medicine, this approach is critical in order to fully understand the genomic underpinnings of rare disease.
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Affiliation(s)
- Jillian G Serrano
- Broad Center for Mendelian Genomics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Melanie O'Leary
- Broad Center for Mendelian Genomics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Grace E VanNoy
- Broad Center for Mendelian Genomics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Brian E Mangilog
- Broad Center for Mendelian Genomics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Ingrid A Holm
- Division of Genetics and Genomics, Department of Pediatrics, Boston Children's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Yarden S Fraiman
- Division of Newborn Medicine, Department of Pediatrics, Boston Children's Hospital and Harvard Medical School, Boston, Massachusetts, USA; Department of Neonatology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA
| | - Heidi L Rehm
- Broad Center for Mendelian Genomics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA; Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Anne O'Donnell-Luria
- Broad Center for Mendelian Genomics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA; Division of Genetics and Genomics, Department of Pediatrics, Boston Children's Hospital and Harvard Medical School, Boston, Massachusetts, USA; Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Monica H Wojcik
- Broad Center for Mendelian Genomics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA; Division of Genetics and Genomics, Department of Pediatrics, Boston Children's Hospital and Harvard Medical School, Boston, Massachusetts, USA; Division of Newborn Medicine, Department of Pediatrics, Boston Children's Hospital and Harvard Medical School, Boston, Massachusetts, USA.
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10
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Felker SA, Lawlor JMJ, Hiatt SM, Thompson ML, Latner DR, Finnila CR, Bowling KM, Bonnstetter ZT, Bonini KE, Kelly NR, Kelley WV, Hurst ACE, Rashid S, Kelly MA, Nakouzi G, Hendon LG, Bebin EM, Kenny EE, Cooper GM. Poison exon annotations improve the yield of clinically relevant variants in genomic diagnostic testing. Genet Med 2023; 25:100884. [PMID: 37161864 PMCID: PMC10524927 DOI: 10.1016/j.gim.2023.100884] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 05/01/2023] [Accepted: 05/03/2023] [Indexed: 05/11/2023] Open
Abstract
PURPOSE Neurodevelopmental disorders (NDDs) often result from rare genetic variation, but genomic testing yield for NDDs remains below 50%, suggesting that clinically relevant variants may be missed by standard analyses. Here, we analyze "poison exons" (PEs), which are evolutionarily conserved alternative exons often absent from standard gene annotations. Variants that alter PE inclusion can lead to loss of function and may be highly penetrant contributors to disease. METHODS We curated published RNA sequencing data from developing mouse cortex to define 1937 conserved PE regions potentially relevant to NDDs, and we analyzed variants found by genome sequencing in multiple NDD cohorts. RESULTS Across 2999 probands, we found 6 novel clinically relevant variants in PE regions. Five of these variants are in genes that are part of the sodium voltage-gated channel alpha subunit family (SCN1A, SCN2A, and SCN8A), which is associated with epilepsies. One variant is in SNRPB, associated with cerebrocostomandibular syndrome. These variants have moderate to high computational impact assessments, are absent from population variant databases, and in genes with gene-phenotype associations consistent with each probands reported features. CONCLUSION With a very minimal increase in variant analysis burden (average of 0.77 variants per proband), annotation of PEs can improve diagnostic yield for NDDs and likely other congenital conditions.
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Affiliation(s)
| | | | - Susan M Hiatt
- HudsonAlpha Institute for Biotechnology, Huntsville, AL
| | | | | | | | | | | | - Katherine E Bonini
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Nicole R Kelly
- Division of Pediatric Genetic Medicine, Department of Pediatrics, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY
| | | | | | | | | | | | | | - E Martina Bebin
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL
| | - Eimear E Kenny
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
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11
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Suckiel SA, Kelly NR, Odgis JA, Gallagher KM, Sebastin M, Bonini KE, Marathe PN, Brown K, Di Biase M, Ramos MA, Rodriguez JE, Scarimbolo L, Insel BJ, Ferar KD, Zinberg RE, Diaz GA, Greally JM, Abul-Husn NS, Bauman LJ, Gelb BD, Horowitz CR, Wasserstein MP, Kenny EE. The NYCKidSeq randomized controlled trial: Impact of GUÍA digitally enhanced genetic counseling in racially and ethnically diverse families. medRxiv 2023:2023.07.05.23292193. [PMID: 37461450 PMCID: PMC10350148 DOI: 10.1101/2023.07.05.23292193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 07/28/2023]
Abstract
Background Digital solutions are needed to support rapid increases in the application of genetic and genomic tests (GT) in diverse clinical settings and patient populations. We developed GUÍA, a bi-lingual web-based platform that facilitates disclosure of GT results. The NYCKidSeq randomized controlled trial evaluated GUÍA's impact on understanding of GT results. Methods NYCKidSeq enrolled diverse children with neurologic, cardiac, and immunologic conditions who underwent GT. Families were randomized to genetic counseling with GUÍA (intervention) or standard of care (SOC) genetic counseling for results disclosure. Parents/legal guardians (participants) completed surveys at baseline, post-results disclosure, and 6-months later. Survey measures assessed the primary study outcomes of perceived understanding of and confidence in explaining their child's GT results and the secondary outcome of objective understanding. We used regression models to evaluate the association between the intervention and the study outcomes. Results The analysis included 551 participants, 270 in the GUÍA arm and 281 in SOC. Participants' mean age was 41.1 years and 88.6% were mothers. Most participants were Hispanic/Latino(a) (46.3%), White/European American (24.5%), or Black/African American (15.8%). Participants in the GUÍA arm had significantly higher perceived understanding post-results (OR=2.8, CI[1.004,7.617], P=0.049) and maintained higher objective understanding over time (OR=1.1, CI[1.004, 1.127], P=0.038) compared to those in the SOC arm. There was no impact on perceived confidence. Hispanic/Latino(a) individuals in the GUÍA arm maintained higher perceived understanding (OR=3.9, CI[1.6, 9.3], P=0.003), confidence (OR=2.7, CI[1.021, 7.277], P=0.046), and objective understanding (OR=1.1, CI[1.009, 1.212], P=0.032) compared to SOC . Conclusions This trial demonstrates that GUÍA positively impacts understanding of GT results in diverse parents of children with suspected genetic conditions. These findings build a case for utilizing GUÍA to deliver complex and often ambiguous genetic results. Continued development and evaluation of digital applications in diverse populations are critical for equitably scaling GT offerings in specialty clinics. Trial Registration Clinicaltrials.gov identifier NCT03738098.
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Affiliation(s)
- Sabrina A. Suckiel
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Nicole R. Kelly
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children’s Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY
| | - Jacqueline A. Odgis
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Katie M. Gallagher
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children’s Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY
| | - Monisha Sebastin
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children’s Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY
| | - Katherine E. Bonini
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Priya N. Marathe
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Kaitlyn Brown
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children’s Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY
| | - Miranda Di Biase
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children’s Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY
| | - Michelle A. Ramos
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY
- Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Jessica E. Rodriguez
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Laura Scarimbolo
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Beverly J. Insel
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Kathleen D.M. Ferar
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Randi E. Zinberg
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY
- Department of Obstetrics, Gynecology and Reproductive Science, Icahn School of Medicine at Mount Sinai, New York, NY
| | - George A. Diaz
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, New York
| | - John M. Greally
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children’s Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY
| | - Noura S. Abul-Husn
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Laurie J. Bauman
- Department of Psychiatry and Behavioral Sciences, Albert Einstein College of Medicine, Bronx, NY
- Department of Pediatrics, Albert Einstein College of Medicine, Bronx, NY
| | - Bruce D. Gelb
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, New York
- Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Carol R. Horowitz
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY
- Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Melissa P. Wasserstein
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children’s Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY
| | - Eimear E. Kenny
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY
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Serrano JG, O'Leary M, VanNoy G, Holm IA, Fraiman YS, Rehm HL, O'Donnell-Luria A, Wojcik MH. Advancing Understanding of Inequities in Rare Disease Genomics. medRxiv 2023:2023.03.28.23286936. [PMID: 37034593 PMCID: PMC10081425 DOI: 10.1101/2023.03.28.23286936] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Purpose Advances in genomic research have led to the diagnosis of rare, early-onset diseases for thousands of individuals. Unfortunately, the benefits of advanced genetic diagnostic technology are not distributed equitably among the population, as has been seen in many other healthcare contexts. Even quantifying and describing inequities in genetic diagnostic yield is challenging due to variation in referrals to clinical genetics practices and other barriers to clinical genetic testing. Methods The Rare Genomes Project (RGP) at the Broad Institute of MIT and Harvard offers research genome sequencing to individuals with rare disease who remain genetically undiagnosed through direct interaction with the individual or family. This presents an opportunity for diagnosis beyond the clinical context, thus eliminating many barriers to access. Findings An initial goal of RGP was to equalize access to genomic sequencing by decoupling testing access from proximity to a major medical center and physician referral. However, our study participants are overwhelmingly non-disadvantaged, as evidenced by their access to specialist care and genetic testing prior to RGP enrollment, and are also predominantly white. Implications We therefore describe our novel initiative to diversify RGP enrollment in order to advance equity in rare disease genetic diagnosis and research. In addition to the moral imperative of medical equity, this is also critical in order to fully understand the genomic underpinnings of rare disease. We utilize a mixed methods approach to understand the priorities and values of underrepresented communities, existing disparities, and the obstacles to addressing them: all of which is necessary to promote equity in future genomic medicine initiatives.
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Sebastin M, Odgis JA, Suckiel SA, Bonini KE, Di Biase M, Brown K, Marathe P, Kelly NR, Ramos MA, Rodriguez JE, Aguiñiga KL, Lopez J, Maria E, Rodriguez MA, Yelton NM, Cunningham-Rundles C, Gallagher K, McDonald TV, McGoldrick PE, Robinson M, Rubinstein A, Shulman LH, Wolf SM, Yozawitz E, Zinberg RE, Abul-Husn NS, Bauman LJ, Diaz GA, Ferket BS, Greally JM, Jobanputra V, Gelb BD, Horowitz CR, Kenny EE, Wasserstein MP. The TeleKidSeq pilot study: incorporating telehealth into clinical care of children from diverse backgrounds undergoing whole genome sequencing. Pilot Feasibility Stud 2023; 9:47. [PMID: 36949526 PMCID: PMC10031704 DOI: 10.1186/s40814-023-01259-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 02/02/2023] [Indexed: 03/24/2023] Open
Abstract
BACKGROUND The COVID-19 pandemic forced healthcare institutions and many clinical research programs to adopt telehealth modalities in order to mitigate viral spread. With the expanded use of telehealth, there is the potential to increase access to genomic medicine to medically underserved populations, yet little is known about how best to communicate genomic results via telehealth while also ensuring equitable access. NYCKidSeq, a multi-institutional clinical genomics research program in New York City, launched the TeleKidSeq pilot study to assess alternative forms of genomic communication and telehealth service delivery models with families from medically underserved populations. METHODS We aim to enroll 496 participants between 0 and 21 years old to receive clinical genome sequencing. These individuals have a neurologic, cardiovascular, and/or immunologic disease. Participants will be English- or Spanish-speaking and predominantly from underrepresented groups who receive care in the New York metropolitan area. Prior to enrollment, participants will be randomized to either genetic counseling via videoconferencing with screen-sharing or genetic counseling via videoconferencing without screen-sharing. Using surveys administered at baseline, results disclosure, and 6-months post-results disclosure, we will evaluate the impact of the use of screen-sharing on participant understanding, satisfaction, and uptake of medical recommendations, as well as the psychological and socioeconomic implications of obtaining genome sequencing. Clinical utility, cost, and diagnostic yield of genome sequencing will also be assessed. DISCUSSION The TeleKidSeq pilot study will contribute to innovations in communicating genomic test results to diverse populations through telehealth technology. In conjunction with NYCKidSeq, this work will inform best practices for the implementation of genomic medicine in diverse, English- and Spanish-speaking populations.
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Affiliation(s)
- Monisha Sebastin
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, 3411 Wayne Ave, 9th Floor, Bronx, NY, 10467, USA
| | - Jacqueline A Odgis
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sabrina A Suckiel
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Katherine E Bonini
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Miranda Di Biase
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, 3411 Wayne Ave, 9th Floor, Bronx, NY, 10467, USA
| | - Kaitlyn Brown
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, 3411 Wayne Ave, 9th Floor, Bronx, NY, 10467, USA
| | - Priya Marathe
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Nicole R Kelly
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, 3411 Wayne Ave, 9th Floor, Bronx, NY, 10467, USA
| | - Michelle A Ramos
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jessica E Rodriguez
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Karla López Aguiñiga
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jessenia Lopez
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, 3411 Wayne Ave, 9th Floor, Bronx, NY, 10467, USA
| | - Estefany Maria
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, 3411 Wayne Ave, 9th Floor, Bronx, NY, 10467, USA
| | - Michelle A Rodriguez
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Nicole M Yelton
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Charlotte Cunningham-Rundles
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Katie Gallagher
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, 3411 Wayne Ave, 9th Floor, Bronx, NY, 10467, USA
| | - Thomas V McDonald
- Department of Medicine (Cardiology), Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Patricia E McGoldrick
- Department of Pediatrics, Division of Child Neurology, New York Medical College, Valhalla, NY, USA
- Pediatric Neurology, Boston Children's Health Physicians/Maria Fareri Children's Hospital, Hawthorne, NY, USA
| | | | - Arye Rubinstein
- Department of Allergy and Immunology, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Lisa H Shulman
- Department of Pediatrics, Division of Developmental Medicine, Rose F. Kennedy Children's Evaluation & Rehabilitation Center at Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Steven M Wolf
- Department of Pediatrics, Division of Child Neurology, New York Medical College, Valhalla, NY, USA
- Pediatric Neurology, Boston Children's Health Physicians/Maria Fareri Children's Hospital, Hawthorne, NY, USA
| | - Elissa Yozawitz
- Isabelle Rapin Division of Child Neurology of the Saul R Korey Department of Neurology at Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Pediatrics, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Randi E Zinberg
- Department of Genetics and Genomic Sciences , Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Obstetrics, Gynecology and Reproductive Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Noura S Abul-Husn
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences , Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Laurie J Bauman
- Department of Pediatrics, Division of Ambulatory Pediatrics, Albert Einstein College of Medicine, Bronx, NY, USA
| | - George A Diaz
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences , Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Bart S Ferket
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - John M Greally
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, 3411 Wayne Ave, 9th Floor, Bronx, NY, 10467, USA
| | - Vaidehi Jobanputra
- Molecular Diagnostics, New York Genome Center, New York, NY, USA
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY, USA
| | - Bruce D Gelb
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences , Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Carol R Horowitz
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Eimear E Kenny
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences , Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Melissa P Wasserstein
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, 3411 Wayne Ave, 9th Floor, Bronx, NY, 10467, USA.
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14
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Abul-Husn NS, Marathe PN, Kelly NR, Bonini KE, Sebastin M, Odgis JA, Abhyankar A, Brown K, Di Biase M, Gallagher KM, Guha S, Ioele N, Okur V, Ramos MA, Rodriguez JE, Rehman AU, Thomas-Wilson A, Edelmann L, Zinberg RE, Diaz GA, Greally JM, Jobanputra V, Suckiel SA, Horowitz CR, Wasserstein MP, Kenny EE, Gelb BD. Molecular diagnostic yield of genome sequencing versus targeted gene panel testing in racially and ethnically diverse pediatric patients. medRxiv 2023:2023.03.18.23286992. [PMID: 36993157 PMCID: PMC10055570 DOI: 10.1101/2023.03.18.23286992] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/31/2023]
Abstract
Purpose Adoption of genome sequencing (GS) as a first-line test requires evaluation of its diagnostic yield. We evaluated the GS and targeted gene panel (TGP) testing in diverse pediatric patients (probands) with suspected genetic conditions. Methods Probands with neurologic, cardiac, or immunologic conditions were offered GS and TGP testing. Diagnostic yield was compared using a fully paired study design. Results 645 probands (median age 9 years) underwent genetic testing, and 113 (17.5%) received a molecular diagnosis. Among 642 probands with both GS and TGP testing, GS yielded 106 (16.5%) and TGPs yielded 52 (8.1%) diagnoses ( P < .001). Yield was greater for GS vs . TGPs in Hispanic/Latino(a) (17.2% vs . 9.5%, P < .001) and White/European American (19.8% vs . 7.9%, P < .001), but not in Black/African American (11.5% vs . 7.7%, P = .22) population groups by self-report. A higher rate of inconclusive results was seen in the Black/African American (63.8%) vs . White/European American (47.6%; P = .01) population group. Most causal copy number variants (17 of 19) and mosaic variants (6 of 8) were detected only by GS. Conclusion GS may yield up to twice as many diagnoses in pediatric patients compared to TGP testing, but not yet across all population groups.
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Versavel S, Subasinghe A, Johnson K, Golonski N, Muhlhausen J, Perry P, Sanchez R. Diversity, equity, and inclusion in clinical trials: A practical guide from the perspective of a trial sponsor. Contemp Clin Trials 2023; 126:107092. [PMID: 36702295 DOI: 10.1016/j.cct.2023.107092] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 12/15/2022] [Accepted: 01/17/2023] [Indexed: 01/24/2023]
Abstract
BACKGROUND Considering diversity, equity, and inclusion (DEI) in clinical trials ensures that data collected for investigational treatments reflect the populations most likely to benefit from those therapies. Resources and recommendations regarding DEI were assembled by the trial sponsor to assist clinical trial development. METHODS A cross-disciplinary team from the sponsoring organization was assembled to inform trial planning and collate resources that promote DEI throughout the clinical trial life cycle. RESULTS Representatives from clinical operations, health economic outcomes research, medical affairs, patient advocacy, procurement, and research and development functional groups united together to implement DEI strategies in clinical trials. Planning strategies focus on eligibility, participant/patient engagement, feedback through patient advocacy organizations, and community interactions. Informed site, investigator, and vendor selection at trial startup supports efforts to recruit diverse target trial populations and engage underrepresented businesses; establishing relationships and demographic target-goal tracking should be maintained throughout trial management. Continued communication during trial closeout consolidates learnings and enhances partnerships with trial participants and patient advocacy organizations. The sponsoring organization continuously updates an internal library of resources to facilitate implementation of outlined strategies. CONCLUSIONS This first iteration of guidance intends to improve the representation of target populations who will ultimately benefit from investigational therapies; to assist sponsor clinical trial teams in developing recruitment and retention plans; and to ensure compliance with federal granting agencies. The sponsoring organization anticipates data from future clinical trials will help characterize the impact of these initiatives to ensure evidence-based practices are used in future clinical trials to enhance DEI.
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16
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Odgis JA, Gallagher KM, Rehman AU, Marathe P, Bonini KE, Sebastin M, Di Biase M, Brown K, Kelly NR, Ramos MA, Thomas-Wilson A, Guha S, Okur V, Ganapathi M, Elkhoury L, Edelmann L, Zinberg RE, Abul-Husn NS, Diaz GA, Greally JM, Suckiel SA, Jobanputra V, Horowitz CR, Kenny EE, Wasserstein MP, Gelb BD. Detection of mosaic variants using genome sequencing in a large pediatric cohort. Am J Med Genet A 2023; 191:699-710. [PMID: 36563179 PMCID: PMC10266700 DOI: 10.1002/ajmg.a.63062] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 11/07/2022] [Accepted: 11/18/2022] [Indexed: 12/24/2022]
Abstract
The increased use of next-generation sequencing has expanded our understanding of the involvement and prevalence of mosaicism in genetic disorders. We describe a total of eleven cases: nine in which mosaic variants detected by genome sequencing (GS) and/or targeted gene panels (TGPs) were considered to be causative for the proband's phenotype, and two of apparent parental mosaicism. Variants were identified in the following genes: PHACTR1, SCN8A, KCNT1, CDKL5, NEXMIF, CUX1, TSC2, GABRB2, and SMARCB1. In addition, we identified one large duplication including three genes, UBE3A, GABRB3, and MAGEL2, and one large deletion including deletion of ARFGAP1, EEF1A2, CHRNA4, and KCNQ2. All patients were enrolled in the NYCKidSeq study, a research program studying the communication of genomic information in clinical care, as well as the clinical utility and diagnostic yield of GS for children with suspected genetic disorders in diverse populations in New York City. We observed variability in the correlation between reported variant allele fraction and the severity of the patient's phenotype, although we were not able to determine the mosaicism percentage in clinically relevant tissue(s). Although our study was not sufficiently powered to assess differences in mosaicism detection between the two testing modalities, we saw a trend toward better detection by GS as compared with TGP testing. This case series supports the importance of mosaicism in childhood-onset genetic conditions and informs guidelines for laboratory and clinical interpretation of mosaic variants detected by GS.
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Affiliation(s)
- Jacqueline A. Odgis
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Katie M. Gallagher
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children’s Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Atteeq U. Rehman
- Molecular Diagnostics, New York Genome Center, New York, NY, USA
| | - Priya Marathe
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Katherine E. Bonini
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Monisha Sebastin
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children’s Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Miranda Di Biase
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children’s Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Kaitlyn Brown
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children’s Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Nicole R. Kelly
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children’s Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Michelle A. Ramos
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Saurav Guha
- Molecular Diagnostics, New York Genome Center, New York, NY, USA
| | - Volkan Okur
- Molecular Diagnostics, New York Genome Center, New York, NY, USA
| | | | | | | | - Randi E. Zinberg
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Obstetrics, Gynecology and Reproductive Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Noura S. Abul-Husn
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - George A. Diaz
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - John M. Greally
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children’s Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Sabrina A. Suckiel
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Vaidehi Jobanputra
- Molecular Diagnostics, New York Genome Center, New York, NY, USA
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY, USA
| | - Carol R. Horowitz
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Eimear E. Kenny
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Melissa P. Wasserstein
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children’s Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Bruce D. Gelb
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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17
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Felker SA, Lawlor JMJ, Hiatt SM, Thompson ML, Latner DR, Finnila CR, Bowling KM, Bonnstetter ZT, Bonini KE, Kelly NR, Kelley WV, Hurst ACE, Kelly MA, Nakouzi G, Hendon LG, Bebin EM, Kenny EE, Cooper GM. Poison exon annotations improve the yield of clinically relevant variants in genomic diagnostic testing. bioRxiv 2023:2023.01.12.523654. [PMID: 36711854 PMCID: PMC9882217 DOI: 10.1101/2023.01.12.523654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Purpose Neurodevelopmental disorders (NDDs) often result from rare genetic variation, but genomic testing yield for NDDs remains around 50%, suggesting some clinically relevant rare variants may be missed by standard analyses. Here we analyze "poison exons" (PEs) which, while often absent from standard gene annotations, are alternative exons whose inclusion results in a premature termination codon. Variants that alter PE inclusion can lead to loss-of-function and may be highly penetrant contributors to disease. Methods We curated published RNA-seq data from developing mouse cortex to define 1,937 PE regions conserved between humans and mice and potentially relevant to NDDs. We then analyzed variants found by genome sequencing in multiple NDD cohorts. Results Across 2,999 probands, we found six clinically relevant variants in PE regions that were previously overlooked. Five of these variants are in genes that are part of the sodium voltage-gated channel alpha subunit family ( SCN1A, SCN2A , and SCN8A ), associated with epilepsies. One variant is in SNRPB , associated with Cerebrocostomandibular Syndrome. These variants have moderate to high computational impact assessments, are absent from population variant databases, and were observed in probands with features consistent with those reported for the associated gene. Conclusion With only a minimal increase in variant analysis burden (most probands had zero or one candidate PE variants in a known NDD gene, with an average of 0.77 per proband), annotation of PEs can improve diagnostic yield for NDDs and likely other congenital conditions.
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Affiliation(s)
| | - James MJ Lawlor
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA 35806
| | - Susan M Hiatt
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA 35806
| | | | - Donald R Latner
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA 35806
| | | | - Kevin M Bowling
- Washington University School of Medicine, Saint Louis, MO, USA 63110
| | | | - Katherine E Bonini
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai. New York, NY, USA 10029
| | - Nicole R Kelly
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children’s Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA 10467
| | - Whitley V Kelley
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA 35806
| | - Anna CE Hurst
- University of Alabama in Birmingham, Birmingham, AL, USA 35294
| | | | | | - Laura G Hendon
- University of Mississippi Medical Center, Jackson, MS, 39216
| | - E Martina Bebin
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA 35294
| | - Eimear E Kenny
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai. New York, NY, USA 10029,Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA 10029,Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA 10029
| | - Gregory M Cooper
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA 35806
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18
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Maselli K, Park H, Breilyn MS, Arens R. Severe central sleep apnea in a child with biallelic variants in NALCN. J Clin Sleep Med 2022; 18:2507-2513. [PMID: 35808948 PMCID: PMC9516572 DOI: 10.5664/jcsm.10146] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 06/06/2022] [Accepted: 06/07/2022] [Indexed: 11/13/2022]
Abstract
The sodium leak channel, nonselective (NALCN), is necessary for the proper function of the neurons that play an important role in the sleep-wake cycle and regulation of breathing patterns during wakefulness and sleep. We report a 38-month-old male with developmental delay, hypotonia, and severe central sleep apnea with periodic breathing requiring noninvasive ventilation during sleep, who was found to have novel biallelic pathogenic variants in NALCN. A review of the literature illustrates 17 additional children with biallelic variants in the NALCN gene. The clinical and sleep manifestations of these children are discussed. CITATION Maselli K, Park H, Breilyn MS, Arens R. Severe central sleep apnea in a child with biallelic variants in NALCN. J Clin Sleep Med. 2022;18(10):2507-2513.
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Affiliation(s)
- Kristina Maselli
- Sleep Wake Disorders Center, Department of Neurology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
| | - Hyunbin Park
- Division of Pediatric Respiratory and Sleep Medicine, Department of Pediatrics, Children’s Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, New York
| | - Margo Sheck Breilyn
- Genetics and Genomics, Department of Pediatrics, The Mount Sinai Hospital, New York, New York
| | - Raanan Arens
- Division of Pediatric Respiratory and Sleep Medicine, Department of Pediatrics, Children’s Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, New York
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19
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O'Daniel JM, Ackerman S, Desrosiers LR, Rego S, Knight SJ, Mollison L, Byfield G, Anderson KP, Danila MI, Horowitz CR, Joseph G, Lamoure G, Lindberg NM, McMullen CK, Mittendorf KF, Ramos MA, Robinson M, Sillari C, Madden EB. Integration of stakeholder engagement from development to dissemination in genomic medicine research: Approaches and outcomes from the CSER Consortium. Genet Med 2022; 24:1108-1119. [PMID: 35227608 PMCID: PMC9081226 DOI: 10.1016/j.gim.2022.01.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Revised: 01/07/2022] [Accepted: 01/13/2022] [Indexed: 11/16/2022] Open
Abstract
PURPOSE There is a critical need for genomic medicine research that reflects and benefits socioeconomically and ancestrally diverse populations. However, disparities in research populations persist, highlighting that traditional study designs and materials may be insufficient or inaccessible to all groups. New approaches can be gained through collaborations with patient/community stakeholders. Although some benefits of stakeholder engagement are recognized, routine incorporation into the design and implementation of genomics research has yet to be realized. METHODS The National Institutes of Health-funded Clinical Sequencing Evidence-Generating Research (CSER) consortium required stakeholder engagement as a dedicated project component. Each CSER project planned and carried out stakeholder engagement activities with differing goals and expected outcomes. Examples were curated from each project to highlight engagement strategies and outcomes throughout the research lifecycle from development through dissemination. RESULTS Projects tailored strategies to individual study needs, logistical constraints, and other challenges. Lessons learned include starting early with engagement efforts across project stakeholder groups and planned flexibility to enable adaptations throughout the project lifecycle. CONCLUSION Each CSER project used more than 1 approach to engage with relevant stakeholders, resulting in numerous adaptations and tremendous value added throughout the full research lifecycle. Incorporation of community stakeholder insight improves the outcomes and relevance of genomic medicine research.
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Affiliation(s)
- Julianne M O'Daniel
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC.
| | - Sara Ackerman
- Department of Social & Behavioral Sciences, School of Nursing, University of California San Francisco, San Francisco, CA
| | - Lauren R Desrosiers
- Department of Pediatrics, Baylor College of Medicine, Texas Children's Cancer Center, Texas Children's Hospital, Houston, TX
| | - Shannon Rego
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA
| | - Sara J Knight
- Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT
| | - Lonna Mollison
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Grace Byfield
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | | | - Maria I Danila
- Division of Clinical Immunology and Rheumatology, Department of Medicine, Heersink School of Medicine, The University of Alabama at Birmingham, Birmingham, AL
| | - Carol R Horowitz
- Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Galen Joseph
- Department of Humanities and Social Sciences, University of California San Francisco, San Francisco, CA
| | - Grace Lamoure
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD
| | - Nangel M Lindberg
- Center for Health Research Kaiser Permanente Northwest, Portland, OR
| | - Carmit K McMullen
- Center for Health Research Kaiser Permanente Northwest, Portland, OR
| | - Kathleen F Mittendorf
- Vanderbilt Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN
| | - Michelle A Ramos
- Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, NY
| | | | - Catherine Sillari
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD
| | - Ebony B Madden
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD
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20
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Gutierrez AM, Robinson JO, Outram SM, Smith HS, Kraft SA, Donohue KE, Biesecker BB, Brothers KB, Chen F, Hailu B, Hindorff LA, Hoban H, Hsu RL, Knight SJ, Koenig BA, Lewis KL, Lich KH, O'Daniel JM, Okuyama S, Tomlinson GE, Waltz M, Wilfond BS, Ackerman SL, Majumder MA. Examining access to care in clinical genomic research and medicine: Experiences from the CSER Consortium. J Clin Transl Sci 2021; 5:e193. [PMID: 34888063 DOI: 10.1017/cts.2021.855] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Revised: 08/30/2021] [Accepted: 09/06/2021] [Indexed: 12/12/2022] Open
Abstract
Introduction: Ensuring equitable access to health care is a widely agreed-upon goal in medicine, yet access to care is a multidimensional concept that is difficult to measure. Although frameworks exist to evaluate access to care generally, the concept of “access to genomic medicine” is largely unexplored and a clear framework for studying and addressing major dimensions is lacking. Methods: Comprised of seven clinical genomic research projects, the Clinical Sequencing Evidence-Generating Research consortium (CSER) presented opportunities to examine access to genomic medicine across diverse contexts. CSER emphasized engaging historically underrepresented and/or underserved populations. We used descriptive analysis of CSER participant survey data and qualitative case studies to explore anticipated and encountered access barriers and interventions to address them. Results: CSER’s enrolled population was largely lower income and racially and ethnically diverse, with many Spanish-preferring individuals. In surveys, less than a fifth (18.7%) of participants reported experiencing barriers to care. However, CSER project case studies revealed a more nuanced picture that highlighted the blurred boundary between access to genomic research and clinical care. Drawing on insights from CSER, we build on an existing framework to characterize the concept and dimensions of access to genomic medicine along with associated measures and improvement strategies. Conclusions: Our findings support adopting a broad conceptualization of access to care encompassing multiple dimensions, using mixed methods to study access issues, and investing in innovative improvement strategies. This conceptualization may inform clinical translation of other cutting-edge technologies and contribute to the promotion of equitable, effective, and efficient access to genomic medicine.
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21
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Donohue KE, Dolan SM, Watnick D, Gallagher KM, Odgis JA, Suckiel SA, Teitelman N, Gelb BD, Kenny EE, Wasserstein MP, Horowitz CR, Bauman LJ. Hope versus reality: Parent expectations of genomic testing. Patient Educ Couns 2021; 104:2073-2079. [PMID: 33640235 PMCID: PMC8679507 DOI: 10.1016/j.pec.2021.01.030] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 01/26/2021] [Accepted: 01/27/2021] [Indexed: 05/11/2023]
Abstract
OBJECTIVE Genomics is increasingly used for diagnostic testing in children. This study describes the expectations of parents whose child received genomic testing and whether or not they were met. METHODS A diverse stratified, purposive sample of parents of 22 children in New York City was interviewed using a semi-structured guide. Genomic test results were positive, negative, or uncertain. RESULTS Parents expressed their expectations in narrative and numeric fashion. Parents expected that their child's test would have a direct effect on their child's diagnosis. Some believed that results would be definitive, while others recognized testing limitations. Expectations reflected parents' hope to find a diagnosis and led to disappointment when results were uninformative or did not impact clinical management. CONCLUSION Results suggest pre-test genetic counseling emphasize the low likelihood of actionable results; however, parents' expectations of genomics' diagnostic capabilities are strongly rooted in their need to end the diagnostic odyssey and may be difficult to manage. PRACTICE IMPLICATIONS Parents' hope for a resolution and effective treatment for their child is a powerful context in which genetic counseling is heard. Clinicians who provide genomic testing should continue to acknowledge parents' preconceptions. Additional research in other settings will help understand how to best address and manage parent expectations of genomic medicine.
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Affiliation(s)
- Katherine E Donohue
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Siobhan M Dolan
- Department of Obstetrics, Gynecology and Reproductive Science, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Dana Watnick
- Department of Pediatrics, Montefiore Medical Center / Albert Einstein College of Medicine, Bronx, NY, United States
| | - Katie M Gallagher
- Department of Pediatrics, Montefiore Medical Center / Albert Einstein College of Medicine, Bronx, NY, United States
| | - Jacqueline A Odgis
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Sabrina A Suckiel
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Nehama Teitelman
- Department of Pediatrics, Montefiore Medical Center / Albert Einstein College of Medicine, Bronx, NY, United States
| | - Bruce D Gelb
- Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States; Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Eimear E Kenny
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Melissa P Wasserstein
- Department of Pediatrics, Montefiore Medical Center / Albert Einstein College of Medicine, Bronx, NY, United States
| | - Carol R Horowitz
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, United States; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States; Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Laurie J Bauman
- Department of Pediatrics, Montefiore Medical Center / Albert Einstein College of Medicine, Bronx, NY, United States; Department of Psychiatry and Behavioral Sciences, Montefiore Medical Center / Albert Einstein College of Medicine, Bronx, NY, United States.
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22
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Pearson NM, Stolte C, Shi K, Beren F, Abul-Husn NS, Bertier G, Brown K, Diaz GA, Odgis JA, Suckiel SA, Horowitz CR, Wasserstein M, Gelb BD, Kenny EE, Gagnon C, Jobanputra V, Bloom T, Greally JM. GenomeDiver: a platform for phenotype-guided medical genomic diagnosis. Genet Med 2021; 23:1998-2002. [PMID: 34113009 PMCID: PMC8488006 DOI: 10.1038/s41436-021-01219-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2020] [Revised: 05/06/2021] [Accepted: 05/07/2021] [Indexed: 12/11/2022] Open
Abstract
Purpose: Making a diagnosis from clinical genomic sequencing requires well-structured phenotypic data to guide genotype interpretation. A patient’s phenotypic features can be documented using the Human Phenotype Ontology (HPO), generating terms used to prioritize genes potentially causing the patient’s disease. We have developed GenomeDiver to provide a user interface for clinicians that allows more effective collaboration with the clinical diagnostic laboratory, with the goal of improving the success of the diagnostic process. Methods: GenomeDiver uses genomic data to prompt reverse phenotyping of patients undergoing genetic testing, enriching the amount and quality of structured phenotype data for the diagnostic laboratory, and helping clinicians to explore and flag diseases potentially causing their patient’s presentation. Results: We show how GenomeDiver communicates the clinician’s informed insights to the diagnostic lab in the form of HPO terms for interpretation of genomic sequencing data. We describe our user-driven design process, the engineering of the software for efficiency, security and portability, and examples of the performance of GenomeDiver using genomic testing data. Conclusions: GenomeDiver is a first step in a new approach to genomic diagnostics that enhances laboratory-clinician interactions, with the goal of directly engaging clinicians to improve the outcome of genomic diagnostic testing.
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Affiliation(s)
| | - Christian Stolte
- New York Genome Center, New York, NY, USA.,Stolte Design, Islesboro, ME, USA
| | - Kevin Shi
- New York Genome Center, New York, NY, USA
| | - Faygel Beren
- Columbia University, Graduate School of Arts and Sciences, New York, NY, USA
| | - Noura S Abul-Husn
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Kaitlyn Brown
- Division of Genetics, Department of Pediatrics, Children's Hospital at Montefiore, Bronx, NY, USA
| | - George A Diaz
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jacqueline A Odgis
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sabrina A Suckiel
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Melissa Wasserstein
- Division of Genetics, Department of Pediatrics, Children's Hospital at Montefiore, Bronx, NY, USA.,Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Bruce D Gelb
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Eimear E Kenny
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | | | - Toby Bloom
- New York Genome Center, New York, NY, USA.,eGenesis, Inc., Cambridge, MA, USA
| | - John M Greally
- Division of Genetics, Department of Pediatrics, Children's Hospital at Montefiore, Bronx, NY, USA. .,Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, USA. .,Center for Epigenomics, Albert Einstein College of Medicine, Bronx, NY, USA.
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23
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Odgis JA, Gallagher KM, Suckiel SA, Donohue KE, Ramos MA, Kelly NR, Bertier G, Blackburn C, Brown K, Fielding L, Lopez J, Aguiniga KL, Maria E, Rodriguez JE, Sebastin M, Teitelman N, Watnick D, Yelton NM, Abhyankar A, Abul-Husn NS, Baum A, Bauman LJ, Beal JC, Bloom T, Cunningham-Rundles C, Diaz GA, Dolan S, Ferket BS, Jobanputra V, Kovatch P, McDonald TV, McGoldrick PE, Rhodes R, Rinke ML, Robinson M, Rubinstein A, Shulman LH, Stolte C, Wolf SM, Yozawitz E, Zinberg RE, Greally JM, Gelb BD, Horowitz CR, Wasserstein MP, Kenny EE. Correction to: The NYCKidSeq project: study protocol for a randomized controlled trial incorporating genomics into the clinical care of diverse New York City children. Trials 2021; 22:146. [PMID: 33593377 PMCID: PMC7885500 DOI: 10.1186/s13063-021-05057-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Affiliation(s)
- Jacqueline A Odgis
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Katie M Gallagher
- Department of Pediatrics, Division of Pediatric Genetic, Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert, Einstein College of Medicine, Bronx, NY, USA
| | - Sabrina A Suckiel
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Katherine E Donohue
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Michelle A Ramos
- Department of Population, Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Nicole R Kelly
- Department of Pediatrics, Division of Pediatric Genetic, Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert, Einstein College of Medicine, Bronx, NY, USA
| | - Gabrielle Bertier
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Christina Blackburn
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kaitlyn Brown
- Department of Pediatrics, Division of Pediatric Genetic, Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert, Einstein College of Medicine, Bronx, NY, USA
| | - Lena Fielding
- Molecular Diagnostics, New York, Genome Center, New York, NY, USA
| | - Jessenia Lopez
- Department of Pediatrics, Division of Pediatric Genetic, Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert, Einstein College of Medicine, Bronx, NY, USA
| | - Karla Lopez Aguiniga
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Estefany Maria
- Department of Pediatrics, Division of Pediatric Genetic, Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert, Einstein College of Medicine, Bronx, NY, USA
| | - Jessica E Rodriguez
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Monisha Sebastin
- Department of Pediatrics, Division of Pediatric Genetic, Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert, Einstein College of Medicine, Bronx, NY, USA
| | - Nehama Teitelman
- Department of Pediatrics, Division of, Pediatric Academic Medicine, Children's Hospital at Montefiore/Montefiore, Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Dana Watnick
- Department of Pediatrics, Division of, Pediatric Academic Medicine, Children's Hospital at Montefiore/Montefiore, Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Nicole M Yelton
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Noura S Abul-Husn
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Aaron Baum
- Department of Health System, Design and Global Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Laurie J Bauman
- Department of Pediatrics, Division of, Pediatric Academic Medicine, Children's Hospital at Montefiore/Montefiore, Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Jules C Beal
- Department of Pediatrics, Division of Child Neurology, Weill Cornell Medical, New York, NY, USA
| | - Toby Bloom
- Molecular Diagnostics, New York, Genome Center, New York, NY, USA
| | - Charlotte Cunningham-Rundles
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Pediatrics, Icahn School, of Medicine at Mount Sinai, New York, NY, USA
| | - George A Diaz
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Pediatrics, Icahn School, of Medicine at Mount Sinai, New York, NY, USA
| | - Siobhan Dolan
- Department of Obstetrics and Gynecology and Women's Health (Reproductive and Medical Genetics), Albert Einstein College of Medicine, Bronx, NY, USA
| | - Bart S Ferket
- Department of Population, Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Vaidehi Jobanputra
- Molecular Diagnostics, New York, Genome Center, New York, NY, USA.,Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY, USA
| | - Patricia Kovatch
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Scientific Computing and Data Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Thomas V McDonald
- Department of Medicine (Cardiology), Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Patricia E McGoldrick
- Department of Pediatrics, Division of Child Neurology, New York Medical College, Valhalla, NY, USA.,Pediatric Neurology
- Boston Children's Health Physicians/Maria Fareri Children's Hospital, Hawthorne, NY, USA
| | - Rosamond Rhodes
- Department of Medical Education, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Michael L Rinke
- Department of Pediatrics, Division of Pediatric Genetic, Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert, Einstein College of Medicine, Bronx, NY, USA
| | | | - Arye Rubinstein
- Department of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Lisa H Shulman
- Department of Pediatrics, Division of Pediatric Genetic, Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert, Einstein College of Medicine, Bronx, NY, USA
| | - Christian Stolte
- Molecular Diagnostics, New York, Genome Center, New York, NY, USA
| | - Steven M Wolf
- Department of Pediatrics, Division of Child Neurology, New York Medical College, Valhalla, NY, USA.,Pediatric Neurology
- Boston Children's Health Physicians/Maria Fareri Children's Hospital, Hawthorne, NY, USA
| | - Elissa Yozawitz
- Department of Pediatrics, Division of Pediatric Genetic, Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert, Einstein College of Medicine, Bronx, NY, USA.,Isabelle Rapin Division of Child Neurology of the Saul R Korey Department of Neurology at Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Randi E Zinberg
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Obstetrics, Gynecology and Reproductive Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - John M Greally
- Department of Pediatrics, Division of Pediatric Genetic, Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert, Einstein College of Medicine, Bronx, NY, USA
| | - Bruce D Gelb
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Pediatrics, Icahn School, of Medicine at Mount Sinai, New York, NY, USA.,Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Carol R Horowitz
- Department of Population, Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Melissa P Wasserstein
- Department of Pediatrics, Division of Pediatric Genetic, Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert, Einstein College of Medicine, Bronx, NY, USA
| | - Eimear E Kenny
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA. .,Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA. .,Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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24
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Watnick D, Odgis JA, Suckiel SA, Gallagher KM, Teitelman N, Donohue KE, Gelb BD, Kenny EE, Wasserstein MP, Horowitz CR, Dolan SM, Bauman LJ. "Is that something that should concern me?": a qualitative exploration of parent understanding of their child's genomic test results. HGG Adv 2021; 2. [PMID: 33884375 PMCID: PMC8057699 DOI: 10.1016/j.xhgg.2021.100027] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Genetic counselors are trained to deliver complicated genomic test results to parents of pediatric patients. However, there is limited knowledge on how parents perceive this information and what they understand about the results. This research aims to qualitatively explore parents’ experiences receiving genomic test results for their children. As part of formative research for the NYCKidSeq Study, we recruited a purposive sample of parents of 22 children stratified by child race/ethnicity and test result classification (positive, uncertain, or negative) and conducted in-depth interviews using a semi-structured guide. Analysis was conducted using grounded theory’s constant comparative method across cases and themes. Parents described different elements of understanding: genetics knowledge; significance and meaning of positive, uncertain, or negative results; and implications for the health of their child and family. Parents reported challenges understanding technical details and significance of their child’s results but gladly allowed their providers to be custodians of this information. However, of the different elements of understanding described, parents cared most deeply about being able to understand implications for their child’s and family’s health. These findings suggest that a counseling approach that primarily addresses parents’ desire to understand how to best care for their child and family may be more appropriate than an information-heavy approach focused on technical details. Further research is warranted to confirm these findings in larger parent cohorts and to explore ways genetic counseling can support parents’ preferences without sacrificing important components of parent understanding and overall satisfaction with their experiences with genomic medicine.
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Affiliation(s)
- Dana Watnick
- Department of Pediatrics, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Jacqueline A Odgis
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Sabrina A Suckiel
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Katie M Gallagher
- Department of Pediatrics, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Nehama Teitelman
- Department of Pediatrics, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Katherine E Donohue
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Bruce D Gelb
- Mindich Child Health and Development Institute, Departments of Pediatrics and Genetics & Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Eimear E Kenny
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.,Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.,Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | | | - Carol R Horowitz
- Departments of Population Health Science and Policy and Medicine, Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.,Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Siobhan M Dolan
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.,Department of Obstetrics, Gynecology, and Reproductive Science, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Laurie J Bauman
- Department of Pediatrics, Albert Einstein College of Medicine, Bronx, NY 10461, USA.,Department of Psychiatry and Behavioral Sciences, Albert Einstein College of Medicine, Bronx, NY 10461, USA
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