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Swanson K, Norton ME, Ackerman SL, Lianoglou MBR, Sahin-Hodoglugil NN, Sparks TN. Patient Understanding of Prenatal Exome Sequencing. Am J Obstet Gynecol MFM 2024:101490. [PMID: 39270841 DOI: 10.1016/j.ajogmf.2024.101490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2024] [Revised: 08/08/2024] [Accepted: 08/17/2024] [Indexed: 09/15/2024]
Affiliation(s)
- Kate Swanson
- University of California, San Francisco, CA, Department of Obstetrics, Gynecology & Reproductive Sciences, Division of Maternal-Fetal Medicine & Reproductive Genetics; University of California, San Francisco, CA, Department of Pediatrics, Division of Medical Genetics.
| | - Mary E Norton
- University of California, San Francisco, CA, Department of Obstetrics, Gynecology & Reproductive Sciences, Division of Maternal-Fetal Medicine & Reproductive Genetics; University of California, San Francisco, CA, Department of Pediatrics, Division of Medical Genetics; University of California, San Francisco, CA, Institute for Human Genetics
| | - Sara L Ackerman
- University of California, San Francisco, CA Department of Social and Behavioral Sciences, School of Nursing
| | | | - Nuriye N Sahin-Hodoglugil
- University of California, San Francisco, CA, Department of Obstetrics, Gynecology & Reproductive Sciences, Division of Maternal-Fetal Medicine & Reproductive Genetics
| | - Teresa N Sparks
- University of California, San Francisco, CA, Department of Obstetrics, Gynecology & Reproductive Sciences, Division of Maternal-Fetal Medicine & Reproductive Genetics; University of California, San Francisco, CA, Institute for Human Genetics
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Desrosiers-Battu LR, Wang T, Reuther J, Miles G, Dai H, Jo E, Russell H, Raesz-Martinez R, Recinos A, Gutierrez S, Thomas A, Berenson E, Corredor J, Nugent K, Wyatt Castillo R, Althaus R, Littlejohn R, Gessay S, Tomlinson G, Gill J, Bernini JC, Vallance K, Griffin T, Scollon S, Lin FY, Eng C, Kulkarni S, Hilsenbeck SG, Roy A, McGuire AL, Parsons DW, Plon SE. Comparing the Diagnostic Yield of Germline Exome Versus Panel Sequencing in the Diverse Population of the Texas KidsCanSeq Pediatric Cancer Study. JCO Precis Oncol 2024; 8:e2400187. [PMID: 39259914 PMCID: PMC11392521 DOI: 10.1200/po.24.00187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Revised: 05/21/2024] [Accepted: 06/12/2024] [Indexed: 09/13/2024] Open
Abstract
PURPOSE To evaluate the relative diagnostic yield of clinical germline genomic tests in a diverse pediatric cancer population. PATIENTS AND METHODS The KidsCanSeq study enrolled pediatric cancer patients across six sites in Texas. Germline analysis included both exome sequencing and a therapy-focused pediatric cancer gene panel. The results were categorized by participants demographics, the presence of pathogenic or likely pathogenic (P/LP) variants, and variants of uncertain significance (VUS) in cancer predisposition genes (CPGs). Pediatric actionable CPGs were defined as those with cancer surveillance recommendations during childhood. RESULTS Cancer P/LP variants were reported by at least one platform in 103 of 578 (17.8%) participants of which 76 were dominant cancer genes (13.1%) with no significant differences by self-described race or Hispanic ethnicity. However, the proportion of participants with VUS was greater in Asian and African American participants (P = .0029). Diagnostic yield was 16.6% for exome versus 8.5% for panel (P < .0001) with 42 participants with concordant germline results. Exome-only results included P/LP variants in 30 different CPGs in 54 participants, whereas panel-only results included seven participants with a copy number or structural P/LP variants in CPGs. There was no significant difference in diagnostic yield limited to pediatric actionable CPGs (P = .6171). CONCLUSION Approximately 18% of a diverse pediatric cancer population had germline diagnostic findings with 50% of P/LP variants reported by only one platform because of CPGs not on the targeted panel and copy number variants (CNVs)/rearrangements not reported by exome. Although diagnostic yields were similar in this diverse population, increases in VUS results were observed in Asian and African American populations. Given the clinical significance of CNVs/rearrangements in this cohort, detection is critical to optimize germline analysis of pediatric cancer populations.
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Affiliation(s)
| | - Tao Wang
- Baylor College of Medicine, Houston, TX
| | - Jacquelyn Reuther
- Baylor College of Medicine, Houston, TX
- Texas Children's Hospital, Houston, TX
| | - George Miles
- Baylor College of Medicine, Houston, TX
- Texas Children's Hospital, Houston, TX
| | - Hongzheng Dai
- Baylor College of Medicine, Houston, TX
- Baylor Genetics, Houston, TX
| | - Eunji Jo
- Baylor College of Medicine, Houston, TX
| | - Heidi Russell
- Baylor College of Medicine, Houston, TX
- Texas Children's Hospital, Houston, TX
| | | | - Alva Recinos
- Baylor College of Medicine, Houston, TX
- Texas Children's Hospital, Houston, TX
| | - Stephanie Gutierrez
- Baylor College of Medicine, Houston, TX
- Texas Children's Hospital, Houston, TX
| | - Amy Thomas
- Cook Children's Hospital, Fort Worth, TX
| | | | | | - Kimberly Nugent
- Baylor College of Medicine, Houston, TX
- CHRISTUS Children's Hospital (formerly Children's Hospital of San Antonio), San Antonio, TX
| | | | | | - Rebecca Littlejohn
- Baylor College of Medicine, Houston, TX
- CHRISTUS Children's Hospital (formerly Children's Hospital of San Antonio), San Antonio, TX
| | | | | | - Jonathan Gill
- University of Texas MD Anderson Cancer Center, Houston, TX
| | - Juan Carlos Bernini
- Baylor College of Medicine, Houston, TX
- Vannie Cook Children's Clinic, McAllen, TX
| | | | - Timothy Griffin
- Baylor College of Medicine, Houston, TX
- CHRISTUS Children's Hospital (formerly Children's Hospital of San Antonio), San Antonio, TX
| | - Sarah Scollon
- Baylor College of Medicine, Houston, TX
- Texas Children's Hospital, Houston, TX
| | - Frank Y Lin
- Baylor College of Medicine, Houston, TX
- Texas Children's Hospital, Houston, TX
| | - Christine Eng
- Baylor College of Medicine, Houston, TX
- Baylor Genetics, Houston, TX
| | - Shashikant Kulkarni
- Baylor College of Medicine, Houston, TX
- Baylor Genetics, Houston, TX
- University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - Angshumoy Roy
- Baylor College of Medicine, Houston, TX
- Texas Children's Hospital, Houston, TX
| | | | - D Williams Parsons
- Baylor College of Medicine, Houston, TX
- Texas Children's Hospital, Houston, TX
| | - Sharon E Plon
- Baylor College of Medicine, Houston, TX
- Texas Children's Hospital, Houston, TX
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Scollon S, Robinson JO, Jo E, Suckiel SA, Amendola LM, Foreman AKM, Jarvik GP, Rini C, Wang T, Slavotinek A. Satisfaction with mode of delivery of genomic sequencing results in a diverse national sample of research participants through the Clinical Sequencing Evidence-Generating Research Consortium. Genet Med 2024; 26:101176. [PMID: 38832564 DOI: 10.1016/j.gim.2024.101176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 05/28/2024] [Accepted: 05/30/2024] [Indexed: 06/05/2024] Open
Abstract
PURPOSE Research that includes diverse patient populations is necessary to optimize implementation of telehealth. METHODS As part of a Clinical Sequencing Evidence-Generating Research Consortium cross-site study, we assessed satisfaction with mode of return of results (RoR) delivery across a diverse sample of participants receiving genetic testing results in person vs telemedicine (TM). RESULTS Ninety-eight percent of participants were satisfied with their mode of results delivery. Participants receiving results by TM were more likely to report a preference for receiving results in a different way and challenges with providers noticing difficulties with understanding. More than 90% reported satisfaction across all items measuring support and interaction during sessions. Participants self-reporting Hispanic/Latino or Black/African American race and ethnicity compared with White/European American, fewer years of education, and having lower health literacy were more likely to report challenges with understanding the information or asking questions. Participants who were White/European American, had more years of education, and higher health literacy reported higher communication scores, reflecting more positive evaluations of the communication experience. CONCLUSION TM is an acceptable mode of return of results delivery across diverse settings and populations. Research optimizing approaches for underrepresented populations, populations with lower levels of education and health literacy, and multilingual populations is necessary.
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Affiliation(s)
- Sarah Scollon
- Department of Pediatrics, Baylor College of Medicine, Houston, TX.
| | - Jill O Robinson
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX
| | - Eunji Jo
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX
| | - Sabrina A Suckiel
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY
| | | | | | - Gail P Jarvik
- University of Washington Medical Center, Departments of Medicine (Medical Genetics) and Genome Sciences, Seattle, WA
| | - Christine Rini
- Northwestern University Feinberg School of Medicine and the Robert H. Lurie Comprehensive Cancer Center of Northwestern University, Chicago, IL
| | - Tao Wang
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX
| | - Anne Slavotinek
- Department of Pediatrics, University of California, San Francisco, San Francisco, CA; Division of Human Genetics, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; University of Cincinnati College of Medicine, Cincinnati, OH
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Smith HS, Rubanovich CK, Robinson JO, Levchenko AN, Classen SA, Malek J, Buchanan AH, Biesecker B, Brothers KB, Wilfond BS, Rini C, Bloss CS, McGuire AL, Knight SJ. Measuring perceived utility of genomic sequencing: Development and validation of the GENEtic Utility (GENE-U) scale for adult screening. Genet Med 2024; 26:101240. [PMID: 39140259 DOI: 10.1016/j.gim.2024.101240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 08/07/2024] [Accepted: 08/07/2024] [Indexed: 08/15/2024] Open
Abstract
PURPOSE As population-based screening programs to identify genetic conditions in adults using genomic sequencing (GS) are increasingly available, validated patient-centered outcome measures are needed to understand participants' experience. We aimed to develop and validate an instrument to assess the perceived utility of GS in the context of adult screening. METHODS Informed by a 5-domain conceptual model, we used a 5-step approach to instrument development and validation: (1) item writing, (2) cognitive testing, (3) pilot testing and item reduction, (4) psychometric testing, and (5) evaluation of construct validity. Adults undergoing risk-based or population-based GS who had received GS results as part of ongoing research studies participated in structured cognitive interviews and 2 rounds of surveys. After item pool refinement, we conducted an exploratory factor analysis and calculated Pearson correlations with related instruments. RESULTS We derived the 18-item Adult Screening version of the GENEtic Utility scale (total sum score α = .87). Mirroring the Pediatric Diagnostic version, the instrument has a 2-factor structure, including an Informational Utility subscale (14 items, α = .89) and an Emotional Utility subscale (4 items, α = .75). The Informational Utility subscale was strongly associated with empowerment and personal utility of GS. Correlations of the Emotional Utility subscale with psychosocial impact and anxiety and depression were weak to moderate. CONCLUSION Initial psychometric testing of the Adult Screening GENEtic Utility scale demonstrates its promise, and additional validation in translational genomics research is warranted.
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Affiliation(s)
- Hadley Stevens Smith
- PRecisiOn Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Medical School, Boston, MA; Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX.
| | - Caryn Kseniya Rubanovich
- San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA
| | - Jill Oliver Robinson
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX
| | - Ariel N Levchenko
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX
| | - Sarah A Classen
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX
| | - Janet Malek
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX
| | - Adam H Buchanan
- Department of Genomic Health, Geisinger Health, Danville, PA
| | | | - Kyle B Brothers
- Norton Children's Research Institute affiliated with the University of Louisville School of Medicine, Louisville, KY
| | - Benjamin S Wilfond
- Treuman Katz Center for Pediatric Bioethics and Palliative Care, Seattle Children's Research Institute, Seattle, WA; Division of Bioethics and Palliative Care, Department of Pediatrics, University of Washington School of Medicine, Seattle, WA
| | - Christine Rini
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL; Robert H. Lurie Comprehensive Cancer Center of Northwestern University, Chicago, IL
| | - Cinnamon S Bloss
- Herbert Wertheim School of Public Health, University of California San Diego, San Diego, CA
| | - Amy L McGuire
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX
| | - Sara J Knight
- Division of Epidemiology, Department of Internal Medicine, University of Utah, Salt Lake City, UT
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Smith HS, Rubanovich CK, Robinson JO, Levchenko AN, Classen SA, Malek J, Biesecker B, Brothers KB, Wilfond BS, Rini C, Knight SJ, McGuire AL, Bloss CS. Measuring perceived utility of genomic sequencing: Development and validation of the GENEtic Utility (GENE-U) scale for pediatric diagnostic testing. Genet Med 2024; 26:101146. [PMID: 38676451 PMCID: PMC11298290 DOI: 10.1016/j.gim.2024.101146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 04/16/2024] [Accepted: 04/17/2024] [Indexed: 04/28/2024] Open
Abstract
PURPOSE Measuring the effects of genomic sequencing (GS) on patients and families is critical for translational research. We aimed to develop and validate an instrument to assess parents' perceived utility of pediatric diagnostic GS. METHODS Informed by a 5-domain conceptual model, the study comprised 5 steps: (1) item writing, (2) cognitive testing, (3) pilot testing and item reduction, (4) psychometric testing, and (5) evaluation of construct validity. Parents of pediatric patients who had received results of clinically indicated GS participated in structured cognitive interviews and 2 rounds of surveys. After eliminating items based on theory and quantitative performance, we conducted an exploratory factor analysis and calculated Pearson correlations with related instruments. RESULTS We derived the 21-item Pediatric Diagnostic version of the GENEtic Utility (GENE-U) scale, which has a 2-factor structure that includes an Informational Utility subscale (16 items, α = 0.91) and an Emotional Utility subscale (5 items, α = 0.71). Scores can be summed to calculate a Total scale score (α = 0.87). The Informational Utility subscale was strongly associated with empowerment and personal utility of GS, and the Emotional Utility subscale was moderately associated with psychosocial impact and depression and anxiety. CONCLUSION The pediatric diagnostic GENE-U scale demonstrated good psychometric performance in this initial evaluation and could be a useful tool for translational genomics researchers, warranting additional validation.
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Affiliation(s)
- Hadley Stevens Smith
- PRecisiOn Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Medical School, Boston, MA; Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX.
| | - Caryn Kseniya Rubanovich
- San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA
| | - Jill Oliver Robinson
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX
| | - Ariel N Levchenko
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX
| | - Sarah A Classen
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX
| | - Janet Malek
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX
| | | | - Kyle B Brothers
- Norton Children's Research Institute affiliated with the University of Louisville School of Medicine, Louisville, KY
| | - Benjamin S Wilfond
- Treuman Katz Center for Pediatric Bioethics and Palliative Care, Seattle Children's Research Institute and Hospital, Seattle, WA; Division of Bioethics and Palliative Care, Department of Pediatrics, University of Washington School of Medicine, Seattle, WA
| | - Christine Rini
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL; Robert H. Lurie Comprehensive Cancer Center of Northwestern University, Chicago, IL
| | - Sara J Knight
- Division of Epidemiology, Department of Internal Medicine, University of Utah, Salt Lake City, UT
| | - Amy L McGuire
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX
| | - Cinnamon S Bloss
- Herbert Wertheim School of Public Health, University of California San Diego, San Diego, CA
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Slavotinek AM, Thompson ML, Martin LJ, Gelb BD. Diagnostic yield after next-generation sequencing in pediatric cardiovascular disease. HGG ADVANCES 2024; 5:100286. [PMID: 38521975 PMCID: PMC11024993 DOI: 10.1016/j.xhgg.2024.100286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Revised: 03/20/2024] [Accepted: 03/20/2024] [Indexed: 03/25/2024] Open
Abstract
Genetic testing with exome sequencing and genome sequencing is increasingly offered to infants and children with cardiovascular diseases. However, the rates of positive diagnoses after genetic testing within the different categories of cardiac disease and phenotypic subtypes of congenital heart disease (CHD) have been little studied. We report the diagnostic yield after next-generation sequencing in 500 patients with CHD from diverse population subgroups that were enrolled at three different sites in the Clinical Sequencing Evidence-Generating Research consortium. Patients were ascertained due to a primary cardiovascular issue comprising arrhythmia, cardiomyopathy, and/or CHD, and corresponding human phenotype ontology terms were selected to describe the cardiac and extracardiac findings. We examined the diagnostic yield for patients with arrhythmia, cardiomyopathy, and/or CHD and phenotypic subtypes of CHD comprising conotruncal defects, heterotaxy, left ventricular outflow tract obstruction, septal defects, and "other" heart defects. We found a significant increase in the frequency of positive findings for patients who underwent genome sequencing compared to exome sequencing and for syndromic cardiac defects compared to isolated cardiac defects. We also found significantly higher diagnostic rates for patients who presented with isolated cardiomyopathy compared to isolated CHD. For patients with syndromic presentations who underwent genome sequencing, there were significant differences in the numbers of positive diagnoses for phenotypic subcategories of CHD, ranging from 31.7% for septal defects to 60% for "other". Despite variation in the diagnostic yield at each site, our results support genetic testing in pediatric patients with syndromic and isolated cardiovascular issues and in all subtypes of CHD.
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Affiliation(s)
- Anne M Slavotinek
- Division of Medical Genetics, Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA; Division of Human Genetics, Cincinnati Children's Hospital, Cincinnati, OH, USA; Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, OH, USA.
| | - Michelle L Thompson
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA; Department of Pathology and Immunology, Division of Laboratory and Genomic Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Lisa J Martin
- Division of Human Genetics, Cincinnati Children's Hospital, Cincinnati, OH, USA; Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, OH, USA
| | - Bruce D Gelb
- Mindich Child Health and Development Institute and Departments of Pediatrics and Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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7
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Marathe PN, Suckiel SA, Bonini KE, Kelly NR, Scarimbolo L, Insel BJ, Odgis JA, Sebastin M, Ramos MA, Di Biase M, Gallagher KM, Brown K, Rodriguez JE, Yelton N, Aguiñiga KL, Rodriguez MA, Maria E, Lopez J, Zinberg RE, Diaz GA, Greally JM, Abul-Husn NS, Bauman LJ, Gelb BD, Wasserstein MP, Kenny EE, Horowitz CR. Evaluating parental personal utility of pediatric genetic and genomic testing in a diverse, multilingual population. HGG ADVANCES 2024; 5:100321. [PMID: 38918948 PMCID: PMC11284555 DOI: 10.1016/j.xhgg.2024.100321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 06/21/2024] [Accepted: 06/21/2024] [Indexed: 06/27/2024] Open
Abstract
There is increasing evidence of the clinical utility of genetic and genomic testing (GT); however, factors influencing personal utility of GT, especially in diverse, multilingual populations, remain unclear. We explored these factors in a diverse cohort of parents/guardians (participants) whose children received clinical GT through the NYCKidSeq program. A total of 847 participants completed surveys at baseline, post-results disclosure, and 6 months (6m) post-results. The largest population groups were Hispanic/Latino(a) (48%), White/European American (24%), and Black/African American (16%). Personal utility was assessed using the Personal Utility (PrU) scale, adapted for pediatric populations and included on the surveys. Three PrU subscales were identified using factor analysis: practical, educational, and parental psychological utility. Overall personal utility summary score and the three subscales significantly decreased after receiving results and over time. Hispanic/Latino(a) participants identified greater overall personal utility than European American and African American participants at all time points (p < 0.001) as did participants whose children received positive/likely positive results compared with those with negative and uncertain results (post-results: p < 0.001 and p < 0.001; 6m post-results: p = 0.002 and p < 0.001, respectively). Post-results, higher subscale scores were associated with lower education levels (practical, parental psychological: p ≤ 0.02) and higher levels of trust in the healthcare system (practical, parental psychological: p ≤ 0.04). These findings help to understand the perspectives of diverse parents/guardians, which is critical to tailoring pre- and post-test counseling across a variety of populations and clinical settings.
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Affiliation(s)
- Priya N Marathe
- 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; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Katherine E Bonini
- Institute for Genomic Health, 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
| | - 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
| | - Jacqueline A Odgis
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, 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
| | - 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 10029, 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
| | - 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
| | - 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
| | - Jessica E Rodriguez
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Nicole Yelton
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Karla Lopez Aguiñiga
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Michelle A Rodriguez
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, 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 10467, 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 10467, 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 10461, USA; Department of Pediatrics, Albert Einstein College of Medicine, Bronx, NY 10461, 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, 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.
| | - 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, USA; Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
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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; 33:1997-2009. [PMID: 38743313 DOI: 10.1007/s11136-024-03677-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [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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9
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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; 33:1541-1553. [PMID: 38472717 PMCID: PMC11116065 DOI: 10.1007/s11136-024-03623-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [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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10
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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 PMCID: PMC11161315 DOI: 10.1016/j.gim.2024.101102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [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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11
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Waltz M, Foreman AKM, Canter C, Cadigan RJ, O'Daniel JM. Reflections on 'common' genetic medical history questions: Time to examine the what, why, and how. PATIENT EDUCATION AND COUNSELING 2024; 122:108190. [PMID: 38340501 PMCID: PMC11289763 DOI: 10.1016/j.pec.2024.108190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 01/18/2024] [Accepted: 02/02/2024] [Indexed: 02/12/2024]
Abstract
OBJECTIVE A central goal of patient-centered care is to establish a therapeutic relationship. While remaining in tune with patient emotions, genetics providers must ask questions to understand medical histories that will inform the differential diagnosis, evaluation plan, and potential treatments. METHODS 195 audio-recorded conversations between providers and caregivers of pediatric patients with suspected genetic conditions were coded and analyzed. Coders identified sensitive history-taking questions asked by providers related to exposures and complications during pregnancy; ancestry and consanguinity; educational attainment of the caregiver; and family structure. RESULTS We highlight examples of providers: using stigmatizing language about conception or consanguinity; not clarifying the intent behind questions related to caregivers' educational attainment and work history; and making presumptions or assumptions about caregivers' race and ethnicity, family structure, and exposures during pregnancy. CONCLUSION Some questions and phrasing considered routine by genetics providers may interfere with patient-centered care by straining attempts to establish a therapeutic, trusting relationship. Additional research is needed to assess how question asking and phrasing impact rapport building and patient experience during genetics encounters. PRACTICE IMPLICATIONS Review of the purpose and need for medical history questions common to genetics practice could serve to improve patient-centered care.
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Affiliation(s)
- Margaret Waltz
- Department of Social Medicine, University of North Carolina, Chapel Hill, NC, USA.
| | | | - Courtney Canter
- Department of Anthropology, University of North Carolina, Chapel Hill, NC, USA
| | - R Jean Cadigan
- Department of Social Medicine, University of North Carolina, Chapel Hill, NC, USA
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12
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Risch N. 2023 lifetime achievement award: "If you want to go fast, go alone; if you want to go far, go together". Am J Hum Genet 2024; 111:412-423. [PMID: 38458162 PMCID: PMC10995461 DOI: 10.1016/j.ajhg.2024.02.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Accepted: 02/06/2024] [Indexed: 03/10/2024] Open
Abstract
This article is based on the address given by the author at the 2023 meeting of The American Society of Human Genetics (ASHG). A video of the original address can be found at the ASHG website.
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Affiliation(s)
- Neil Risch
- Institute for Human Genetics, University of California San Francisco, San Fransisco, CA, USA; Department of Epidemiology and Biostatistics, University of California San Francisco, San Fransisco, CA, USA; Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
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13
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Rothschild HT, Lianoglou BR, Sahin Hodoglugil NN, Tick K, Brown JEH, Sparks TN. Trust in prenatal exome sequencing for expectant families facing unexplained fetal anomalies. Prenat Diagn 2024; 44:263-269. [PMID: 38158591 PMCID: PMC10947859 DOI: 10.1002/pd.6507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 11/10/2023] [Accepted: 12/14/2023] [Indexed: 01/03/2024]
Abstract
OBJECTIVE Despite exome sequencing (ES) becoming increasingly incorporated into the prenatal setting, few studies have elucidated motivations for and trust in ES and genomic research among a diverse cohort of patients and their partners. METHODS This is a qualitative study that involved semi-structured interviews with pregnant or recently pregnant individuals and their partners, interviewed separately, in the setting of ES performed through research for a fetal structural anomaly. All interview transcripts were coded thematically and developed by a multidisciplinary team. RESULTS Thirty-five individuals participated, the majority of whom (66%) self-identified as a racial or ethnic group underrepresented in genomic research. Many patients and their partners expressed trust in the healthcare system and research process and appreciated the extensive testing for information and closure. There were nonetheless concerns about data privacy and protection for individuals, including those underrepresented, who participated in genomic testing and studies. CONCLUSION Our findings illustrate important elements of motivation, trust and concern related to prenatal ES performed in the research setting, taking into account the perspectives not only of diverse and underrepresented study participants but also partners of pregnant individuals.
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Affiliation(s)
- Harriet T Rothschild
- School of Medicine, University of California San Francisco (UCSF), San Francisco, California, USA
| | - Billie R Lianoglou
- Center for Maternal Fetal Precision Medicine, UCSF, San Francisco, California, USA
- Department of Surgery, UCSF, San Francisco, California, USA
- Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, UCSF, San Francisco, California, USA
| | | | - Katie Tick
- Department of Obstetrics, Gynecology and Reproductive Sciences, UCSF, San Francisco, California, USA
| | - Julia E H Brown
- Program in Bioethics, UCSF, San Francisco, California, USA
- Institute for Health & Aging, School of Nursing, UCSF, San Francisco, California, USA
| | - Teresa N Sparks
- Center for Maternal Fetal Precision Medicine, UCSF, San Francisco, California, USA
- Institute for Human Genetics, UCSF, San Francisco, California, USA
- Department of Obstetrics, Gynecology and Reproductive Sciences, UCSF, San Francisco, California, USA
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14
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Vuocolo B, Gutierrez AM, Robinson JO, Recinos AM, Desrosiers LR, Majumder MA, Bernini JC, Gill J, Griffin T, Tomlinson GE, Vallance K, McGuire AL, Parsons DW, Plon SE, Scollon S. Families' experiences accessing care after genomic sequencing in the pediatric cancer context: "It's just been a big juggle". J Genet Couns 2024. [PMID: 38225886 PMCID: PMC11247135 DOI: 10.1002/jgc4.1858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 11/30/2023] [Accepted: 12/27/2023] [Indexed: 01/17/2024]
Abstract
Access to genomic sequencing (GS) and resulting recommendations have not been well described in pediatric oncology. GS results may provide a cancer predisposition syndrome (CPS) diagnosis that warrants screening and specialist visits beyond cancer treatment, including testing or surveillance for family members. The Texas KidsCanSeq (KCS) Study evaluated implementation of GS in a diverse pediatric oncology population. We conducted semi-structured interviews (n = 20) to explore experiences of KCS patients' families around learning about a CPS diagnosis and following up on recommended care. We used qualitative content analysis to develop themes and subthemes across families' descriptions of their experiences accessing care and to understand which factors presented barriers and/or facilitators. We found participants had difficulty differentiating which follow-up care recommendations were made for their child's current cancer treatment versus the CPS. In families' access to follow-up care for CPS, organizational factors were crucial: travel time and distance were common hardships, while coordination of care to streamline multiple appointments with different providers helped facilitate CPS care. Financial factors also impacted families' access to CPS-related follow-up care: having financial assistance and insurance were facilitators for families, while costs and lack of insurance posed as barriers for patients who lost coverage during transitions from pediatric to adult care, and for adult family members who had no coverage. Factors related to beliefs and perceptions, specifically perceiving the risk as less salient to them and feeling overwhelmed with the patient's cancer care, presented barriers to follow-up care primarily for family members. Regarding social factors, competing life priorities made it difficult for families to access follow-up care, though having community support alleviated these barriers. We suggest interventions to improve coordination of cancer treatment and CPS-related care and adherence to surveillance protocols for families as children age, such as care navigators and integrating longitudinal genetic counseling into hereditary cancer centers.
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Affiliation(s)
- Blake Vuocolo
- Department of Molecular and Human Genetics, School of Health Professions, Baylor College of Medicine, Houston, Texas, USA
| | - Amanda M Gutierrez
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, Texas, USA
| | - Jill O Robinson
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, Texas, USA
| | - Alva M Recinos
- Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA
- Texas Children's Cancer Center, Texas Children's Hospital, Houston, Texas, USA
| | - Lauren R Desrosiers
- Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA
- Texas Children's Cancer Center, Texas Children's Hospital, Houston, Texas, USA
| | - Mary A Majumder
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, Texas, USA
| | - Juan Carlos Bernini
- Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA
- Cancer and Hematology Clinic, Vannie E. Cook Clinic, McAllen, Texas, USA
| | - Jonathan Gill
- UT MD Anderson Cancer Center, Children's Cancer Hospital, Houston, Texas, USA
| | - Timothy Griffin
- Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA
- Department of Pediatric Hematology-Oncology, Children's Hospital of San Antonio, San Antonio, Texas, USA
| | - Gail E Tomlinson
- UT Health Science Center, Greehey Children's Cancer Research Institute and Division of Pediatric Hematology-Oncology, San Antonio, Texas, USA
| | - Kelly Vallance
- Cook Children's Hematology and Oncology, Cook Children's Hospital, Forth Worth, Texas, USA
| | - Amy L McGuire
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, Texas, USA
| | - D Williams Parsons
- Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA
- Texas Children's Cancer Center, Texas Children's Hospital, Houston, Texas, USA
| | - Sharon E Plon
- Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA
- Texas Children's Cancer Center, Texas Children's Hospital, Houston, Texas, USA
| | - Sarah Scollon
- Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA
- Texas Children's Cancer Center, Texas Children's Hospital, Houston, Texas, USA
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15
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Mavura Y, Sahin-Hodoglugil N, Hodoglugil U, Kvale M, Martin PM, Van Ziffle J, Devine WP, Ackerman SL, Koenig BA, Kwok PY, Norton ME, Slavotinek A, Risch N. Genetic ancestry and diagnostic yield of exome sequencing in a diverse population. NPJ Genom Med 2024; 9:1. [PMID: 38172272 PMCID: PMC10764913 DOI: 10.1038/s41525-023-00385-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 11/09/2023] [Indexed: 01/05/2024] Open
Abstract
It has been suggested that diagnostic yield (DY) from Exome Sequencing (ES) may be lower among patients with non-European ancestries than those with European ancestry. We examined the association of DY with estimated continental/subcontinental genetic ancestry in a racially/ethnically diverse pediatric and prenatal clinical cohort. Cases (N = 845) with suspected genetic disorders underwent ES for diagnosis. Continental/subcontinental genetic ancestry proportions were estimated from the ES data. We compared the distribution of genetic ancestries in positive, negative, and inconclusive cases by Kolmogorov-Smirnov tests and linear associations of ancestry with DY by Cochran-Armitage trend tests. We observed no reduction in overall DY associated with any genetic ancestry (African, Native American, East Asian, European, Middle Eastern, South Asian). However, we observed a relative increase in proportion of autosomal recessive homozygous inheritance versus other inheritance patterns associated with Middle Eastern and South Asian ancestry, due to consanguinity. In this empirical study of ES for undiagnosed pediatric and prenatal genetic conditions, genetic ancestry was not associated with the likelihood of a positive diagnosis, supporting the equitable use of ES in diagnosis of previously undiagnosed but potentially Mendelian disorders across all ancestral populations.
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Affiliation(s)
- Yusuph Mavura
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA.
- Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA, USA.
| | - Nuriye Sahin-Hodoglugil
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA
| | - Ugur Hodoglugil
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA
| | - Mark Kvale
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA
| | - Pierre-Marie Martin
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA
| | - Jessica Van Ziffle
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA
| | - W Patrick Devine
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA
| | - Sara L Ackerman
- Institute for Health & Aging, School of Nursing, University of California San Francisco, San Francisco, CA, USA
- Department of Social & Behavioral Sciences, School of Nursing, University of California San Francisco, San Francisco, CA, USA
| | - Barbara A Koenig
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA
- Program in Bioethics, University of California San Francisco, San Francisco, CA, USA
| | - Pui-Yan Kwok
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA
- Cardiovascular Research Institute and Department of Dermatology, University of California San Francisco, San Francisco, CA, USA
| | - Mary E Norton
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA
- Division of Maternal Fetal Medicine, Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Francisco, San Francisco, CA, USA
| | - Anne Slavotinek
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA
- Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA
| | - Neil Risch
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA.
- Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA, USA.
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16
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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] [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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17
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Hoban HG, Yip TA, Chau JC, Bensen JT, Desrosiers LR, Finnila CR, Hindorff LA, Kelly NR, Lynch FL, Rolf BA, Smith HS, Wasserstein MP, Hassmiller Lich K. The motivation and process for developing a consortium-wide time and motion study to estimate resource implications of innovations in the use of genome sequencing to inform patient care. Clin Transl Sci 2024; 17:e13635. [PMID: 38064200 PMCID: PMC10766055 DOI: 10.1111/cts.13635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 07/09/2023] [Accepted: 07/25/2023] [Indexed: 12/17/2023] Open
Abstract
Costs of implementing genomic testing innovations extend beyond the cost of sequencing, affecting personnel and infrastructure for which little data are available. We developed a time and motion (T&M) study within the Clinical Sequencing Evidence-Generating Research (CSER) consortium to address this gap, and herein describe challenges of conducting T&M studies within a research consortium and the approaches we developed to overcome them. CSER investigators created a subgroup to carry out the T&M study (authors). We describe logistical and administrative challenges associated with resource use data collection across heterogeneous projects conducted in real-world clinical settings, and our solutions for completing this study and harmonizing data across projects. We delineate processes for feasible data collection on workflow, personnel, and resources required to deliver genetic testing innovations in each CSER project. A critical early step involved developing detailed project-specific process flow diagrams of innovation implementation in projects' clinical settings. Analyzing diagrams across sites, we identified common process-step themes, used to organize project-specific data collection and cross-project analysis. Given the heterogeneity of innovations, study design, and workflows, which affect resources required to deliver genetic testing innovations, flexibility was necessary to harmonize data collection. Despite its challenges, this heterogeneity provides rich insights about variation in clinical processes and resource implications for implementing genetic testing innovations.
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Affiliation(s)
- Hannah G. Hoban
- Institute for Human GeneticsUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Tiffany A. Yip
- Institute for Human GeneticsUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Joanna C. Chau
- Division of Genomic Medicine, National Human Genome Research InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - Jeannette T. Bensen
- Department of EpidemiologyUniversity of North Carolina at Chapel HillChapel HillNorth CarolinaUSA
| | | | | | - Lucia A. Hindorff
- Division of Genomic Medicine, National Human Genome Research InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - Nicole R. Kelly
- Division of Pediatric Genetic Medicine, Department of PediatricsChildren's Hospital at Montefiore and the Albert Einstein College of MedicineBronxNew YorkUSA
| | - Frances L. Lynch
- Center for Health ResearchKaiser Permanente NorthwestPortlandOregonUSA
| | - Bradley A. Rolf
- Division of Medical Genetics, Department of MedicineUniversity of WashingtonSeattleWashingtonUSA
| | - Hadley S. Smith
- Center for Medical Ethics and Health PolicyBaylor College of MedicineHoustonTexasUSA
| | - Melissa P. Wasserstein
- Division of Pediatric Genetic Medicine, Department of PediatricsChildren's Hospital at Montefiore and the Albert Einstein College of MedicineBronxNew YorkUSA
| | - Kristen Hassmiller Lich
- Department of Health Policy and ManagementUniversity of North Carolina at Chapel HillChapel HillNorth CarolinaUSA
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18
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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] [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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19
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Lewis H, Biesecker B, Lee SSJ, Anderson K, Joseph G, Jenkins CL, Bulkley JE, Leo MC, Goddard KAB, Wilfond BS. Promoting equity, inclusion, and efficiency: A team science approach to the development of authorship guidelines for a multi-disciplinary research team. J Clin Transl Sci 2023; 7:e265. [PMID: 38229898 PMCID: PMC10790100 DOI: 10.1017/cts.2023.685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2023] [Revised: 11/07/2023] [Accepted: 11/10/2023] [Indexed: 01/18/2024] Open
Abstract
Large research teams and consortia present challenges for authorship. The number of disciplines involved in the research can further complicate approaches to manuscript development and leadership. The CHARM team, representing a multi-disciplinary, multi-institutional genomics implementation study, participated in facilitated discussions inspired by team science methodologies. The discussions were centered on team members' past experiences with authorship and perspectives on authorship in a large research team context. Team members identified challenges and opportunities that were used to create guidelines and administrative tools to support manuscript development. The guidelines were organized by the three values of equity, inclusion, and efficiency and included eight principles. A visual dashboard was created to allow all team members to see who was leading or involved in each paper. Additional tools to promote equity, inclusion, and efficiency included providing standardized project management for each manuscript and making "concept sheets" for each manuscript accessible to all team members. The process used in CHARM can be used by other large research teams and consortia to equitably distribute lead authorship opportunities, foster coauthor inclusion, and efficiently work with large authorship groups.
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Affiliation(s)
- Hannah Lewis
- Treuman Katz Center for Pediatric Bioethics, Seattle
Children’s Research Institute, Seattle, WA,
USA
| | | | - Sandra Soo-Jin Lee
- Department of Medical Humanities and Ethics, Columbia
University, New York, NY, USA
| | | | - Galen Joseph
- Department of Humanities and Social Sciences, University of
California, San Francisco, CA,
USA
| | - Charisma L. Jenkins
- Department of Translational and Applied Genomics, Kaiser
Permanente Center for Health Research, Portland,
OR, USA
| | - Joanna E. Bulkley
- Department of Translational and Applied Genomics, Kaiser
Permanente Center for Health Research, Portland,
OR, USA
| | - Michael C. Leo
- Department of Translational and Applied Genomics, Kaiser
Permanente Center for Health Research, Portland,
OR, USA
| | - Katrina A. B. Goddard
- Department of Translational and Applied Genomics, Kaiser
Permanente Center for Health Research, Portland,
OR, USA
- Division of Cancer Control and Population Sciences, National
Cancer Institute, National Institutes of Health, Rockville,
MD, USA
| | - Benjamin S. Wilfond
- Treuman Katz Center for Pediatric Bioethics, Seattle
Children’s Research Institute, Seattle, WA,
USA
- Department of Pediatrics, Division of Bioethics and Palliative Care,
University of Washington, Seattle,
WA, USA
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20
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Hunter JE, Riddle L, Joseph G, Amendola LM, Gilmore MJ, Zepp JM, Shuster E, Bulkley JE, Muessig KR, Anderson KP, Goddard KAB, Wilfond BS, Leo MC. Most people share genetic test results with relatives even if the findings are normal: Family communication in a diverse population. Genet Med 2023; 25:100923. [PMID: 37421176 PMCID: PMC10766857 DOI: 10.1016/j.gim.2023.100923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 06/26/2023] [Accepted: 06/29/2023] [Indexed: 07/09/2023] Open
Abstract
PURPOSE With increasing utilization of genetic testing, sharing genetic information can become part of general family health communication while providing biological relatives with important information about their own genetic risk. Importantly, little is known about motivations for and barriers to family communication of genetic information in historically underserved populations. METHODS Using mixed methods, we explored patient experiences with family communication in a study population of English- and Spanish-speaking adults aged 18 to 49 years, enriched for participants from historically underserved backgrounds. Risk screening for hereditary cancer guided genetic testing for cancer risk genes and other medically actionable findings. RESULTS Most participants overall (91%), including most with normal findings (89%), shared or planned to share their results with relatives. Common motivations for sharing results were to give relatives information about their genetic risk and because the participant thought the results were interesting. Reasons for not sharing were limited contact with relatives, perceptions of limited clinical utility for relatives, and concern that discussion of genetic information was stigmatized or taboo. CONCLUSION Results demonstrate high rates of sharing genetic information, indicate motivations for sharing go beyond facilitating genetic testing for relatives, and suggest general willingness to share genetic information as part of family health communication.
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Affiliation(s)
- Jessica Ezzell Hunter
- Genomics, Ethics, and Translational Research Program, RTI International, Research Triangle Park, NC; Department of Translational and Applied Genomics, Kaiser Permanente Center for Health Research, Portland, OR.
| | - Leslie Riddle
- Department of Humanities and Social Sciences, University of California, San Francisco, San Francisco, CA
| | - Galen Joseph
- Department of Humanities and Social Sciences, University of California, San Francisco, San Francisco, CA
| | | | - Marian J Gilmore
- Department of Translational and Applied Genomics, Kaiser Permanente Center for Health Research, Portland, OR
| | - Jamilyn M Zepp
- Department of Translational and Applied Genomics, Kaiser Permanente Center for Health Research, Portland, OR
| | | | - Joanna E Bulkley
- Department of Translational and Applied Genomics, Kaiser Permanente Center for Health Research, Portland, OR
| | - Kristin R Muessig
- Department of Translational and Applied Genomics, Kaiser Permanente Center for Health Research, Portland, OR
| | - Katherine P Anderson
- Department of Family Medicine, Ambulatory Care Services, Denver Health, Denver, CO
| | - Katrina A B Goddard
- Department of Translational and Applied Genomics, Kaiser Permanente Center for Health Research, Portland, OR
| | - Benjamin S Wilfond
- Treuman Katz Center for Pediatric Bioethics, Seattle Children's Research Institute, Department of Pediatrics, University of Washington School of Medicine, Seattle, WA
| | - Michael C Leo
- Kaiser Permanente Center for Health Research, Portland, OR
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21
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Taber JM, Peters E, Klein WMP, Cameron LD, Turbitt E, Biesecker BB. Motivations to learn genomic information are not exceptional: Lessons from behavioral science. Clin Genet 2023; 104:397-405. [PMID: 37491896 DOI: 10.1111/cge.14401] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Revised: 06/29/2023] [Accepted: 06/30/2023] [Indexed: 07/27/2023]
Abstract
Whether to undergo genome sequencing in a clinical or research context is generally a voluntary choice. Individuals are often motivated to learn genomic information even when clinical utility-the possibility that the test could inform medical recommendations or health outcomes-is low or absent. Motivations to seek one's genomic information can be cognitive, affective, social, or mixed (e.g., cognitive and affective) in nature. These motivations are based on the perceived value of the information, specifically, its clinical utility and personal utility. We suggest that motivations to learn genomic information are no different from motivations to learn other types of personal information, including one's health status and disease risk. Here, we review behavioral science relevant to motivations that may drive engagement with genome sequencing, both in the presence of varying degrees of clinical utility and in the absence of clinical utility. Specifically, we elucidate 10 motivations that are expected to underlie decisions to undergo genome sequencing. Recognizing these motivations to learn genomic information will guide future research and ultimately help clinicians to facilitate informed decision making among individuals as genome sequencing becomes increasingly available.
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Affiliation(s)
- Jennifer M Taber
- Department of Psychological Sciences, Kent State University, Kent, Ohio, USA
| | - Ellen Peters
- Center for Science Communication Research and Psychology Department, University of Oregon, Eugene, Oregon, USA
| | - William M P Klein
- Behavioral Research Program, National Cancer Institute, Bethesda, Maryland, USA
| | - Linda D Cameron
- Department of Psychological Sciences, University of California, Merced, California, USA
| | - Erin Turbitt
- Graduate School of Health, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Barbara B Biesecker
- Genomics, Bioinformatics and Translational Science, RTI International, Research Triangle Park, North Carolina, USA
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22
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Slavotinek A, Prasad H, Outram S, Scollon S, Rego S, Yip T, Hoban H, Foreman KM, Kelley W, Finnila C, Berg J, Murali P, Bonini KE, Martin LJ, Hott A. Information-seeking preferences in diverse patients receiving a genetic testing result in the Clinical Sequencing Evidence-Generating Research (CSER) study. Genet Med 2023; 25:100899. [PMID: 37212252 PMCID: PMC10524447 DOI: 10.1016/j.gim.2023.100899] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 05/03/2023] [Accepted: 05/07/2023] [Indexed: 05/23/2023] Open
Abstract
PURPOSE Accurate and understandable information after genetic testing is critical for patients, family members, and professionals alike. METHODS As part of a cross-site study from the Clinical Sequencing Evidence-Generating Research consortium, we investigated the information-seeking practices among patients and family members at 5 to 7 months after genetic testing results disclosure, assessing the perceived utility of a variety of information sources, such as family and friends, health care providers, support groups, and the internet. RESULTS We found that individuals placed a high value on information obtained from genetics professionals and health care workers, independent of genetic testing result case classifications as positive, inconclusive, or negative. The internet was also highly utilized and ranked. Study participants rated some information sources as more useful for positive results compared with inconclusive or negative outcomes, emphasizing that it may be difficult to identify helpful information for individuals receiving an uncertain or negative result. There were few data from non-English speakers, highlighting the need to develop strategies to reach this population. CONCLUSION Our study emphasizes the need for clinicians to provide accurate and comprehensible information to individuals from diverse populations after genetic testing.
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Affiliation(s)
- Anne Slavotinek
- Division of Medical Genetics, Department of Pediatrics, University of California, San Francisco, San Francisco, CA; Institute for Human Genetics, University of California, San Francisco, San Francisco, CA.
| | - Hannah Prasad
- Institute for Human Genetics, University of California, San Francisco, San Francisco, CA
| | - Simon Outram
- Institute for Health & Aging, School of Nursing, University of California San Francisco, San Francisco, CA
| | - Sarah Scollon
- Department of Pediatrics, Baylor College of Medicine, Houston, TX
| | - Shannon Rego
- Division of Medical Genetics, Department of Pediatrics, University of California, San Francisco, San Francisco, CA; Institute for Human Genetics, University of California, San Francisco, San Francisco, CA
| | - Tiffany Yip
- Division of Medical Genetics, Department of Pediatrics, University of California, San Francisco, San Francisco, CA; Institute for Human Genetics, University of California, San Francisco, San Francisco, CA
| | - Hannah Hoban
- Division of Medical Genetics, Department of Pediatrics, University of California, San Francisco, San Francisco, CA; Institute for Human Genetics, University of California, San Francisco, San Francisco, CA
| | - Kate M Foreman
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | | | | | - Jonathan Berg
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Priyanka Murali
- Department of Medicine (Medical Genetics), University of Washington Medical Center, Seattle, WA
| | - Katherine E Bonini
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Lisa J Martin
- Division of Human Genetics Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH
| | - Adam Hott
- HudsonAlpha Institute for Biotechnology, Huntsville, AL
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23
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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] [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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Guo B, Knerr S, Kauffman TL, Mittendorf KF, Keast E, Gilmore MJ, Feigelson HS, Lynch FL, Muessig KR, Okuyama S, Zepp JM, Veenstra DL, Hsu L, Phipps AI, Lindström S, Leo MC, Goddard KAB, Wilfond BS, Devine B. Risk management actions following genetic testing in the Cancer Health Assessments Reaching Many (CHARM) Study: A prospective cohort study. Cancer Med 2023; 12:19112-19125. [PMID: 37644850 PMCID: PMC10557878 DOI: 10.1002/cam4.6485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 08/07/2023] [Accepted: 08/18/2023] [Indexed: 08/31/2023] Open
Abstract
BACKGROUND Genetic testing can identify cancer risk early, enabling prevention and early detection. We describe use of risk management interventions following genetic testing in the Cancer Health Assessment Reaching Many (CHARM) study. CHARM assessed risk and provided genetic testing to low income, low literacy, and other underserved populations that historically face barriers to accessing cancer genetic services. METHODS CHARM was implemented in Kaiser Permanente Northwest (KPNW) and Denver Health (DH) between 2018 and 2020. We identified post-testing screening (mammography, breast MRI, colonoscopy) and surgical (mastectomy, oophorectomy) procedures using electronic health records. We examined utilization in participants who did and did not receive actionable risk management recommendations from study genetic counselors following national guidelines. RESULTS CHARM participants were followed for an average of 15.4 months (range: 0.4-27.8 months) after results disclosure. Less than 2% (11/680) received actionable risk management recommendations (i.e., could be completed in the initial years following testing) based on their test result. Among those who received actionable recommendations, risk management utilization was moderate (54.5%, 6/11 completed any procedure) and varied by procedure (mammogram: 0/3; MRI: 2/4; colonoscopy: 4/5; mastectomy: 1/5; oophorectomy: 0/3). Cancer screening and surgery procedures were rare in participants without actionable recommendations. CONCLUSION Though the number of participants who received actionable risk management recommendations was small, our results suggest that implementing CHARM's risk assessment and testing model increased access to evidence-based genetic services and provided opportunities for patients to engage in recommended preventive care, without encouraging risk management overuse.
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Affiliation(s)
- Boya Guo
- School of Public HealthUniversity of WashingtonSeattleWashingtonUSA
| | - Sarah Knerr
- School of Public HealthUniversity of WashingtonSeattleWashingtonUSA
| | - Tia L. Kauffman
- Center for Health Research, Kaiser Permanente NorthwestPortlandOregonUSA
| | - Kathleen F. Mittendorf
- Vanderbilt‐Ingram Cancer CenterVanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Erin Keast
- Center for Health Research, Kaiser Permanente NorthwestPortlandOregonUSA
| | - Marian J. Gilmore
- Department of Translational and Applied GenomicsCenter for Health ResearchPortlandOregonUSA
| | | | - Frances L. Lynch
- Center for Health Research, Kaiser Permanente NorthwestPortlandOregonUSA
| | - Kristin R. Muessig
- Department of Translational and Applied GenomicsCenter for Health ResearchPortlandOregonUSA
| | - Sonia Okuyama
- Division of Oncology, Denver Health and Hospital AuthorityDenverColoradoUSA
| | - Jamilyn M. Zepp
- Department of Translational and Applied GenomicsCenter for Health ResearchPortlandOregonUSA
| | - David L. Veenstra
- The Comparative Health Outcomes, Policy, and Economics (CHOICE) Institute, School of PharmacyUniversity of WashingtonSeattleWashingtonUSA
| | - Li Hsu
- School of Public HealthUniversity of WashingtonSeattleWashingtonUSA
- Division of Public Health SciencesFred Hutchinson Cancer CenterSeattleWashingtonUSA
| | - Amanda I. Phipps
- School of Public HealthUniversity of WashingtonSeattleWashingtonUSA
- Division of Public Health SciencesFred Hutchinson Cancer CenterSeattleWashingtonUSA
| | - Sara Lindström
- School of Public HealthUniversity of WashingtonSeattleWashingtonUSA
- Division of Public Health SciencesFred Hutchinson Cancer CenterSeattleWashingtonUSA
| | - Michael C. Leo
- Center for Health Research, Kaiser Permanente NorthwestPortlandOregonUSA
| | - Katrina A. B. Goddard
- Department of Translational and Applied GenomicsCenter for Health ResearchPortlandOregonUSA
| | - Benjamin S. Wilfond
- Treuman Katz Center for Pediatric BioethicsSeattle Children's Research InstituteSeattleWashingtonUSA
- Department of Pediatrics, Division of Bioethics and Palliative CareUniversity of WashingtonSeattleWashingtonUSA
| | - Beth Devine
- School of Public HealthUniversity of WashingtonSeattleWashingtonUSA
- The Comparative Health Outcomes, Policy, and Economics (CHOICE) Institute, School of PharmacyUniversity of WashingtonSeattleWashingtonUSA
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25
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Duenas DM, Riddle L, Guerra C, Caruncho M, Lewis H, Porter KM, Kraft SA, Anderson KP, Biesecker B, Gilmore MJ, Zepp JM, Leo MC, Wilfond BS, Joseph G. Refining a Multifaceted Model of Perceived Utility of Genomic Sequencing Results. Public Health Genomics 2023; 26:135-144. [PMID: 37607497 PMCID: PMC10614499 DOI: 10.1159/000531782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Accepted: 06/22/2023] [Indexed: 08/24/2023] Open
Abstract
INTRODUCTION Research on the perceived utility of genomic sequencing has focused primarily on pediatric populations and on individuals and families with rare genetic diseases. Here, we evaluate how well a multifaceted perceived utility model developed with these populations applies to a diverse, adult population aged 18-49 at risk for hereditary cancer and propose new considerations for the model. METHODS Participants received clinical genomic sequencing in the Cancer Health Assessments Reaching Many (CHARM) study. Semi-structured qualitative interviews were conducted with a subset of participants at 1 and 6 months after results disclosure. We used an approach influenced by grounded theory to examine perceptions of the utility of genomic sequencing and analyzed how utility in CHARM mapped to the published multifaceted perceived utility model, noting which domains were represented or absent and which were most salient to our population. RESULTS Participants' discussions of utility often involved multiple domains and revealed the variety of ways in which receiving sequencing results can impact one's life. Results demonstrated that an individual's perception of utility can change over the life course when sequenced at a relatively young age and may be influenced by the resources available to them to act on the results. CONCLUSION Our findings demonstrate the relevance of a multifaceted perceived utility model for a diverse adult population at risk for hereditary cancer. We identified refinements that could make the model more robust, including emphasizing the overlapping nature of the domains and the importance of life stage and personal resources to the perception of utility.
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Affiliation(s)
- Devan M. Duenas
- Treuman Katz Center for Pediatric Bioethics and Palliative Care, Seattle Children’s Research Institute, Seattle, WA, USA
| | - Leslie Riddle
- Department of Humanities and Social Sciences, University of California, San Francisco, CA, USA
| | - Claudia Guerra
- Department of Medicine, Division of General Internal Medicine, University of California, San Francisco, CA, USA
| | - Mikaella Caruncho
- Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Hannah Lewis
- Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, USA
| | - Kathryn M. Porter
- Treuman Katz Center for Pediatric Bioethics and Palliative Care, Seattle Children’s Research Institute, Seattle, WA, USA
| | - Stephanie A. Kraft
- Treuman Katz Center for Pediatric Bioethics and Palliative Care, Seattle Children’s Research Institute, Seattle, WA, USA
- Department of Pediatrics, University of Washington School of Medicine, Seattle, WA, USA
| | - Katherine P. Anderson
- Department of Family Medicine, Ambulatory Care Services, Denver Health, Denver, CO, USA
| | | | - Marian J. Gilmore
- Department of Translational and Applied Genomics (TAG), Kaiser Permanente Center for Health Research, Portland, OR, USA
| | - Jamilyn M. Zepp
- Department of Translational and Applied Genomics (TAG), Kaiser Permanente Center for Health Research, Portland, OR, USA
| | - Michael C. Leo
- Kaiser Permanente Center for Health Research, Portland, OR, USA
| | - Benjamin S. Wilfond
- Treuman Katz Center for Pediatric Bioethics and Palliative Care, Seattle Children’s Research Institute, Seattle, WA, USA
- Department of Pediatrics, University of Washington School of Medicine, Seattle, WA, USA
| | - Galen Joseph
- Department of Humanities and Social Sciences, University of California, San Francisco, CA, USA
| | - On behalf of the CHARM Study
- Treuman Katz Center for Pediatric Bioethics and Palliative Care, Seattle Children’s Research Institute, Seattle, WA, USA
- Department of Humanities and Social Sciences, University of California, San Francisco, CA, USA
- Department of Medicine, Division of General Internal Medicine, University of California, San Francisco, CA, USA
- Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
- Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, USA
- Department of Pediatrics, University of Washington School of Medicine, Seattle, WA, USA
- Department of Family Medicine, Ambulatory Care Services, Denver Health, Denver, CO, USA
- Analytics, RTI International, Washington, DC, USA
- Department of Translational and Applied Genomics (TAG), Kaiser Permanente Center for Health Research, Portland, OR, USA
- Kaiser Permanente Center for Health Research, Portland, OR, USA
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26
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Joseph G, Lindberg NM, Guerra C, Hernandez C, Karliner LS, Gilmore MJ, Zepp J, Rolf BA, Caruncho M, Riddle L, Kauffman TL, Leo MC, Wilfond BS. Medical interpreter-mediated genetic counseling for Spanish preferring adults at risk for a hereditary cancer syndrome. J Genet Couns 2023; 32:870-886. [PMID: 36938783 PMCID: PMC10509308 DOI: 10.1002/jgc4.1695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 02/15/2023] [Accepted: 02/16/2023] [Indexed: 03/21/2023]
Abstract
The objective of this study was to identify interpretation challenges specific to exome sequencing and errors of potential clinical significance in the context of genetic counseling for adults at risk for a hereditary cancer syndrome. Thirty transcripts of interpreter-mediated telephone results disclosure genetic counseling appointments were coded for errors by bilingual researchers, and the coders applied an overall rating to denote the degree to which the errors interfered with communication overall. Genetic counselors reviewed a subset of errors flagged for potential clinical significance to identify those likely to have clinical impact. Qualitative interviews with 19 interpreters were analyzed to elucidate the challenges they face in interpreting for genetic counseling appointments. Our analysis identified common interpretation errors such as raising the register, omissions, and additions. Further, we found errors specific to genetic counseling concepts and content that appeared to impact the ability of the genetic counselor to accurately assess risk. These errors also may have impacted the patient's ability to understand their results, access appropriate follow-up care, and communicate with family members. Among interpreters' strengths was the use of requests for clarification; in fact, even more use of clarification would have been beneficial in these encounters. Qualitative interviews surfaced challenges stemming from the structure of interpreter work, such as switching from medical and nonmedical interpretations without substantial breaks. Importantly, while errors were frequent, most did not impede communication overall, and most were not likely to impact clinical care. Nevertheless, potentially clinically impactful errors in communication of genetics concepts may contribute to inequitable care for limited English proficient patients and suggest that additional training in genetics and specialization in healthcare may be warranted. In addition, training for genetic counselors and guidance for patients in working effectively with interpreters could enhance interpreters' transmission of complex genetic concepts.
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Affiliation(s)
- Galen Joseph
- Department of Humanities and Social Sciences, University of California, San Francisco, San Francisco, California, USA
| | | | - Claudia Guerra
- Department of Humanities and Social Sciences, University of California, San Francisco, San Francisco, California, USA
| | - Cindy Hernandez
- Cancer Genetics and Prevention Program, University of California, San Francisco, San Francisco, California, USA
- The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, Houston, Texas, USA
| | - Leah S Karliner
- Department of General Internal Medicine, University of California, San Francisco, San Francisco, California, USA
| | - Marian J Gilmore
- Department of Translational and Applied Genomics, Kaiser Permanente Center for Health Research, Portland, Oregon, USA
| | - Jamilyn Zepp
- Department of Translational and Applied Genomics, Kaiser Permanente Center for Health Research, Portland, Oregon, USA
| | - Bradley A Rolf
- Division of Medical Genetics, Department of Medicine, University of Washington School of Medicine, Seattle, Washington, USA
| | - Mikaella Caruncho
- Department of Medical Humanities and Ethics, Columbia University, New York, New York, USA
| | - Leslie Riddle
- Department of Humanities and Social Sciences, University of California, San Francisco, San Francisco, California, USA
| | - Tia L Kauffman
- Kaiser Permanente Center for Health Research, Portland, Oregon, USA
| | - Michael C Leo
- Kaiser Permanente Center for Health Research, Portland, Oregon, USA
| | - Benjamin S Wilfond
- Seattle Children's Research Institute, University of Washington, Seattle, Washington, USA
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27
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Smith HS, Ferket BS, Gelb BD, Hindorff L, Ferar KD, Norton ME, Sahin-Hodoglugil N, Slavotinek A, Lich KH, Berg JS, Russell HV. Parent-Reported Clinical Utility of Pediatric Genomic Sequencing. Pediatrics 2023; 152:e2022060318. [PMID: 37470118 PMCID: PMC10812387 DOI: 10.1542/peds.2022-060318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/12/2023] [Indexed: 07/21/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Genomic sequencing (GS) is increasingly used for diagnostic evaluation, yet follow-up care is not well understood. We assessed clinicians' recommendations after GS, parent-reported follow-up, and actions parents initiated in response to learning their child's GS results. METHODS We surveyed parents of children who received GS through the Clinical Sequencing Evidence Generating Research consortium ∼5 to 7 months after return of results. We compared the proportion of parents who reported discussing their child's result with a clinician, clinicians' recommendations, and parents' follow-up actions by GS result type using χ2 tests. RESULTS A total of 1188 respondents completed survey measures on recommended medical actions (n = 1187) and/or parent-initiated actions (n = 913). Most parents who completed recommended medical actions questions (n = 833, 70.3%) reported having discussed their child's GS results with clinicians. Clinicians made recommendations to change current care for patients with positive GS results (n = 79, 39.1%) more frequently than for those with inconclusive (n = 31, 12.4%) or negative results (n = 44, 11.9%; P < .001). Many parents discussed (n = 152 completed, n = 135 planned) implications of GS results for future pregnancies with a clinician. Aside from clinical recommendations, 13.0% (n = 119) of parents initiated changes to their child's health or lifestyle. CONCLUSIONS In diverse pediatric clinical contexts, GS results can lead to recommendations for follow-up care, but they likely do not prompt large increases in the quantity of care received.
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Affiliation(s)
- Hadley Stevens Smith
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX USA
- Precision Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - 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, USA
| | - Bruce D. Gelb
- Mindich Child Health and Development Institute, Departments of Pediatrics and Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Lucia Hindorff
- Training, Diversity and Health Equity Office, National Human Genome Research Institute, National Institutes of Health
| | - Kathleen D. Ferar
- Department of Biomedical Informatics and Medical Education, Division of Biomedical Informatics, University of Washington, Seattle, WA, USA
| | - Mary E. Norton
- University of California, San Francisco, San Francisco, CA, USA
| | | | - Anne Slavotinek
- University of California, San Francisco, San Francisco, CA, USA
| | - Kristen Hasmiller Lich
- Department of Health Policy and Management, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jonathan S. Berg
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill NC, USA
| | - Heidi V. Russell
- Department of Pediatrics, Baylor College of Medicine, Houston TX, USA
- Department of Management, Policy, and Community Health, UTHealth School of Public Health, Houston, TX, USA
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28
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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] [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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29
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Richards JL, Knight SJ. Parents' Perspectives on Secondary Genetic Ancestry Findings in Pediatric Genomic Medicine. Clin Ther 2023; 45:719-728. [PMID: 37573223 PMCID: PMC11182349 DOI: 10.1016/j.clinthera.2023.06.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 05/17/2023] [Accepted: 06/02/2023] [Indexed: 08/14/2023]
Abstract
PURPOSE With advances in genome sequencing technologies, large-scale genome-wide sequencing has advanced our understanding of disease risk and etiology and contributes to the rapidly expanding genomic health services in pediatric settings. Because it is possible to return ancestry estimates following clinical genomic sequencing, it is important to understand the interest in ancestry results among families who may have the option of receiving these results. METHODS We conducted 26 semi-structured qualitative telephone interviews of parents with children/newborns with likely genetic conditions from two studies of clinical genome sequencing. Using a purposive sampling approach, we selected parents from the SouthSeq cohort, Clinical Sequencing Evidence-Generating Research (CSER Phase 2) project active in Alabama, Mississippi, and Louisiana, or an earlier Clinical Sequencing Exploratory Research (CSER Phase 1) initiative based in the same region. Our interviews focused on parental knowledge about, attitudes on, interest in, and preferences for receiving genetic ancestry results following clinical genome sequencing in the neonatal intensive care unit or in pediatric clinics. FINDINGS Overall, parents prioritized clinical results or results that would help guide the diagnosis and treatment of their child, but they were also interested in any genetic result, including genetic ancestry, that potentially could enhance the meaning of information on disease risk, prevention and screening guidance, or family planning. While parents thought that ancestry results would help them learn about themselves and their heritage, the had concerns over the privacy, security, and accuracy of genetic ancestry information, although parents indicated that they had greater trust in ancestry findings provided as part of clinical care compared with those offered commercially. Parents also wanted ancestry results to be returned in a timely manner by knowledgeable staff, with kid-friendly materials and online tools available to aid, as needed, in the understanding of their results. IMPLICATIONS Taken together, our results highlight that despite being in high-stress situations, such as having a newborn in the neonatal intensive care unit, parents were interested in receiving genetic ancestry results along with their clinically relevant findings.
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Affiliation(s)
- Jaimie L Richards
- Department of Genetics, The University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Sara J Knight
- Department of Internal Medicine, Division of Epidemiology, University of Utah, School of Medicine, Salt Lake City, Utah, USA; Informatics, Decision-Enhancement, and Analytical Sciences Center of Innovation, Salt Lake City VA Healthcare System, Salt Lake City, Utah, USA.
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30
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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] [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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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 : THE PREPRINT SERVER FOR HEALTH SCIENCES 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] [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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D'Gama AM, Agrawal PB. Role of genomic medicine and implementing equitable access for critically ill infants in neonatal intensive care units. J Perinatol 2023; 43:963-967. [PMID: 36774516 PMCID: PMC9918837 DOI: 10.1038/s41372-023-01630-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 01/27/2023] [Accepted: 01/31/2023] [Indexed: 02/13/2023]
Abstract
Genetic disorders are a leading cause of morbidity and mortality in infants admitted to neonatal intensive care units. This population has immense potential to benefit from genomic medicine, as early precision diagnosis is critical to early personalized management. However, the implementation of genomic medicine in neonatology thus far has arguably worsened health inequities, and strategies are urgently needed to achieve equitable access to genomics in neonatal care. In this perspective, we demonstrate the utility of genomic sequencing in critically ill infants and highlight three key recommendations to advance equitable access: recruitment of underrepresented populations, education of non-genetics providers to empower practice of genomic medicine, and development of innovative infrastructure to implement genomic medicine across diverse settings.
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Affiliation(s)
- Alissa M D'Gama
- Epilepsy Genetics Program, Division of Epilepsy and Neurophysiology, Department of Neurology, Boston Children's Hospital, Boston, MA, USA
- Neonatal Genomics Program, Division of Newborn Medicine, Boston Children's Hospital, Boston, MA, USA
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - Pankaj B Agrawal
- Neonatal Genomics Program, Division of Newborn Medicine, Boston Children's Hospital, Boston, MA, USA.
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, USA.
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA.
- The Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
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Milko LV, Berg JS. Age-Based Genomic Screening during Childhood: Ethical and Practical Considerations in Public Health Genomics Implementation. Int J Neonatal Screen 2023; 9:36. [PMID: 37489489 PMCID: PMC10366892 DOI: 10.3390/ijns9030036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Revised: 06/07/2023] [Accepted: 06/21/2023] [Indexed: 07/26/2023] Open
Abstract
Genomic sequencing offers an unprecedented opportunity to detect inherited variants that are implicated in rare Mendelian disorders, yet there are many challenges to overcome before this technology can routinely be applied in the healthy population. The age-based genomic screening (ABGS) approach is a novel alternative to genome-scale sequencing at birth that aims to provide highly actionable genetic information to parents over the course of their child's routine health care. ABGS utilizes an established metric to identify conditions with high clinical actionability and incorporates information about the age of onset and age of intervention to determine the optimal time to screen for any given condition. Ongoing partnerships with parents and providers are instrumental to the co-creation of educational resources and strategies to address potential implementation barriers. Implementation science frameworks and informative empirical data are used to evaluate strategies to establish this unique clinical application of targeted genomic sequencing. Ultimately, a pilot project conducted in primary care pediatrics clinics will assess patient and implementation outcomes, parent and provider perspectives, and the feasibility of ABGS. A validated, stakeholder-informed, and practical ABGS program will include hundreds of conditions that are actionable during infancy and childhood, setting the stage for a longitudinal implementation that can assess clinical and health economic outcomes.
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Affiliation(s)
- Laura V. Milko
- Department of Genetics, University of North Carolina at Chapel Hill, 120 Mason Farm Rd., Chapel Hill, NC 27599-7264, USA;
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Mangum R, Reuther J, Baksi KS, Gandhi I, Zabriskie RC, Recinos A, Raesz-Martinez R, Lin FY, Potter SL, Sher AC, Kralik SF, Mohila CA, Chintagumpala MM, Muzny D, Hu J, Gibbs RA, Fisher KE, Bernini JC, Gill J, Griffin TC, Tomlinson GE, Vallance KL, Plon SE, Roy A, Parsons DW. Circulating tumor DNA sequencing of pediatric solid and brain tumor patients: An institutional feasibility study. Pediatr Hematol Oncol 2023; 40:719-738. [PMID: 37366551 PMCID: PMC10592361 DOI: 10.1080/08880018.2023.2228837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 05/15/2023] [Accepted: 06/01/2023] [Indexed: 06/28/2023]
Abstract
The potential of circulating tumor DNA (ctDNA) analysis to serve as a real-time "liquid biopsy" for children with central nervous system (CNS) and non-CNS solid tumors remains to be fully elucidated. We conducted a study to investigate the feasibility and potential clinical utility of ctDNA sequencing in pediatric patients enrolled on an institutional clinical genomics trial. A total of 240 patients had tumor DNA profiling performed during the study period. Plasma samples were collected at study enrollment from 217 patients and then longitudinally from a subset of patients. Successful cell-free DNA extraction and quantification occurred in 216 of 217 (99.5%) of these initial samples. Twenty-four patients were identified whose tumors harbored 30 unique variants that were potentially detectable on a commercially-available ctDNA panel. Twenty of these 30 mutations (67%) were successfully detected by next-generation sequencing in the ctDNA from at least one plasma sample. The rate of ctDNA mutation detection was higher in patients with non-CNS solid tumors (7/9, 78%) compared to those with CNS tumors (9/15, 60%). A higher ctDNA mutation detection rate was also observed in patients with metastatic disease (9/10, 90%) compared to non-metastatic disease (7/14, 50%), although tumor-specific variants were detected in a few patients in the absence of radiographic evidence of disease. This study illustrates the feasibility of incorporating longitudinal ctDNA analysis into the management of relapsed or refractory patients with childhood CNS or non-CNS solid tumors.
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Affiliation(s)
- Ross Mangum
- Center for Cancer and Blood Disorders, Phoenix Children’s Hospital, Phoenix, Arizona
| | - Jacquelyn Reuther
- Department of Pathology & Immunology, Baylor College of Medicine, Houston, Texas
| | - Koel Sen Baksi
- Texas Children’s Cancer Center, Department of Pediatrics, Baylor College of Medicine, Houston, Texas
| | - Ilavarasi Gandhi
- Department of Pathology & Immunology, Baylor College of Medicine, Houston, Texas
| | - Ryan C. Zabriskie
- Texas Children’s Cancer Center, Department of Pediatrics, Baylor College of Medicine, Houston, Texas
| | - Alva Recinos
- Texas Children’s Cancer Center, Department of Pediatrics, Baylor College of Medicine, Houston, Texas
| | - Robin Raesz-Martinez
- Texas Children’s Cancer Center, Department of Pediatrics, Baylor College of Medicine, Houston, Texas
| | - Frank Y. Lin
- Texas Children’s Cancer Center, Department of Pediatrics, Baylor College of Medicine, Houston, Texas
- The Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Samara L. Potter
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children’s Hospital, Columbus, Ohio
- Department of Pediatrics, The Ohio State University, Columbus, Ohio
| | - Andrew C. Sher
- Department of Radiology, Texas Children’s Hospital, Houston, Texas
| | | | - Carrie A. Mohila
- Department of Pathology & Immunology, Baylor College of Medicine, Houston, Texas
- Department of Pathology, Texas Children’s Hospital, Houston, Texas
| | - Murali M. Chintagumpala
- Texas Children’s Cancer Center, Department of Pediatrics, Baylor College of Medicine, Houston, Texas
- The Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Donna Muzny
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas
- The Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas
| | - Jianhong Hu
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas
- The Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas
| | - Richard A Gibbs
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas
- The Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas
| | - Kevin E. Fisher
- Department of Pathology & Immunology, Baylor College of Medicine, Houston, Texas
- The Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
- Department of Pathology, Texas Children’s Hospital, Houston, Texas
| | - Juan Carlos Bernini
- Texas Children’s Cancer Center, Department of Pediatrics, Baylor College of Medicine, Houston, Texas
| | - Jonathan Gill
- Division of Pediatrics, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Timothy C. Griffin
- Department of Hematology Oncology, The Children’s Hospital of San Antonio, Baylor College of Medicine, San Antonio, Texas
| | - Gail E Tomlinson
- Greehey Children’s Cancer Research Institute, UT Health San Antonio, San Antonio, Texas
| | - Kelly L. Vallance
- Hematology and Oncology, Cook Children’s Medical Center, Fort Worth, Texas
| | - Sharon E. Plon
- Texas Children’s Cancer Center, Department of Pediatrics, Baylor College of Medicine, Houston, Texas
- The Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas
- The Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas
| | - Angshumoy Roy
- Department of Pathology & Immunology, Baylor College of Medicine, Houston, Texas
- Texas Children’s Cancer Center, Department of Pediatrics, Baylor College of Medicine, Houston, Texas
- The Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
- Department of Pathology, Texas Children’s Hospital, Houston, Texas
| | - D. Williams Parsons
- Texas Children’s Cancer Center, Department of Pediatrics, Baylor College of Medicine, Houston, Texas
- The Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
- Department of Pathology, Texas Children’s Hospital, Houston, Texas
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas
- The Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas
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Slavotinek A, Rego S, Sahin-Hodoglugil N, Kvale M, Lianoglou B, Yip T, Hoban H, Outram S, Anguiano B, Chen F, Michelson J, Cilio RM, Curry C, Gallagher RC, Gardner M, Kuperman R, Mendelsohn B, Sherr E, Shieh J, Strober J, Tam A, Tenney J, Weiss W, Whittle A, Chin G, Faubel A, Prasad H, Mavura Y, Van Ziffle J, Devine WP, Hodoglugil U, Martin PM, Sparks TN, Koenig B, Ackerman S, Risch N, Kwok PY, Norton ME. Diagnostic yield of pediatric and prenatal exome sequencing in a diverse population. NPJ Genom Med 2023; 8:10. [PMID: 37236975 PMCID: PMC10220040 DOI: 10.1038/s41525-023-00353-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 04/28/2023] [Indexed: 05/28/2023] Open
Abstract
The diagnostic yield of exome sequencing (ES) has primarily been evaluated in individuals of European ancestry, with less focus on underrepresented minority (URM) and underserved (US) patients. We evaluated the diagnostic yield of ES in a cohort of predominantly US and URM pediatric and prenatal patients suspected to have a genetic disorder. Eligible pediatric patients had multiple congenital anomalies and/or neurocognitive disabilities and prenatal patients had one or more structural anomalies, disorders of fetal growth, or fetal effusions. URM and US patients were prioritized for enrollment and underwent ES at a single academic center. We identified definitive positive or probable positive results in 201/845 (23.8%) patients, with a significantly higher diagnostic rate in pediatric (26.7%) compared to prenatal patients (19.0%) (P = 0.01). For both pediatric and prenatal patients, the diagnostic yield and frequency of inconclusive findings did not differ significantly between URM and non-URM patients or between patients with US status and those without US status. Our results demonstrate a similar diagnostic yield of ES between prenatal and pediatric URM/US patients and non-URM/US patients for positive and inconclusive results. These data support the use of ES to identify clinically relevant variants in patients from diverse populations.
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Affiliation(s)
- Anne Slavotinek
- Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA.
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA.
| | - Shannon Rego
- Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA
| | - Nuriye Sahin-Hodoglugil
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA
| | - Mark Kvale
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA
- Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Billie Lianoglou
- Department of Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Tiffany Yip
- Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA
| | - Hannah Hoban
- Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA
| | - Simon Outram
- Institute for Health & Aging, School of Nursing, University of California San Francisco, San Francisco, CA, USA
| | - Beatrice Anguiano
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA
- Institute for Health & Aging, School of Nursing, University of California San Francisco, San Francisco, CA, USA
| | - Flavia Chen
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA
| | - Jeremy Michelson
- Institute of Human Nutrition, Columbia University Medical Center, New York, NY, USA
| | - Roberta M Cilio
- Division of Pediatric Neurology, Department of Pediatrics, University of Louvain, Brussels, Belgium
| | - Cynthia Curry
- Genetic Medicine, University of California, San Francisco, Fresno, CA, USA
| | - Renata C Gallagher
- Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA
| | - Marisa Gardner
- Department of Neurology, UCSF Benioff Children's Hospital Oakland, Oakland, CA, USA
| | - Rachel Kuperman
- Department of Neurology, UCSF Benioff Children's Hospital Oakland, Oakland, CA, USA
- Eysz, Inc, Piedmont, CA, USA
| | - Bryce Mendelsohn
- Division of Genetics, Kaiser Permanente Oakland Medical Center, Oakland, CA, USA
| | - Elliott Sherr
- Division of Child Neurology, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Joseph Shieh
- Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA
| | - Jonathan Strober
- Division of Child Neurology, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Allison Tam
- Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA
| | - Jessica Tenney
- Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA
| | - William Weiss
- Division of Child Neurology, Zuckerberg San Francisco General Hospital, San Francisco, San Francisco, CA, USA
| | - Amy Whittle
- Division of Pediatrics, Zuckerberg San Francisco General Hospital, San Francisco, San Francisco, CA, USA
| | - Garrett Chin
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA
| | - Amanda Faubel
- Department of Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Hannah Prasad
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA
| | - Yusuph Mavura
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA
- Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Jessica Van Ziffle
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA
| | - W Patrick Devine
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA
| | - Ugur Hodoglugil
- Genomic Medicine Laboratory, University of California San Francisco, San Francisco, CA, USA
| | - Pierre-Marie Martin
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA
| | - Teresa N Sparks
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA
- Division of Maternal Fetal Medicine, Department of Obstetrics, Gynecology, and Reproductive Sciences, San Francisco, USA
| | - Barbara Koenig
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA
- Program in Bioethics, University of California, San Francisco, San Francisco, CA, USA
| | - Sara Ackerman
- Institute for Health & Aging, School of Nursing, University of California San Francisco, San Francisco, CA, USA
- Department of Social & Behavioral Sciences, School of Nursing, University of California San Francisco, San Francisco, CA, USA
| | - Neil Risch
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA
- Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Pui-Yan Kwok
- Cardiovascular Research Institute, University of California San Francisco, San Francisco, CA, USA
| | - Mary E Norton
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA
- Division of Maternal Fetal Medicine, Department of Obstetrics, Gynecology, and Reproductive Sciences, San Francisco, USA
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Mavura Y, Sahin-Hodoglugil N, Hodoglugil U, Kvale M, Martin PM, Van Ziffle J, Devine WP, Ackerman SL, Koenig BA, Kwok PY, Norton ME, Slavotinek A, Risch N. Diagnostic Yield of Exome Sequencing in a Diverse Pediatric and Prenatal Population is not Associated with Genetic Ancestry. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.05.19.23290066. [PMID: 37293051 PMCID: PMC10246153 DOI: 10.1101/2023.05.19.23290066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Purpose It has been hypothesized that diagnostic yield (DY) from Exome Sequencing (ES) may be lower among patients with non-European ancestries than those with European ancestry. We examined the association of DY with estimated continental genetic ancestry in a racially/ethnically diverse pediatric and prenatal clinical cohort. Methods Cases (N=845) with suspected genetic disorders underwent ES for diagnosis. Continental genetic ancestry proportions were estimated from the ES data. We compared the distribution of genetic ancestries in positive, negative, and inconclusive cases by Kolmogorov Smirnov tests and linear associations of ancestry with DY by Cochran-Armitage trend tests. Results We observed no reduction in overall DY associated with any continental genetic ancestry (Africa, America, East Asia, Europe, Middle East, South Asia). However, we observed a relative increase in proportion of autosomal recessive homozygous inheritance versus other inheritance patterns associated with Middle Eastern and South Asian ancestry, due to consanguinity. Conclusions In this empirical study of ES for undiagnosed pediatric and prenatal genetic conditions, genetic ancestry was not associated with the likelihood of a positive diagnosis, supporting the ethical and equitable use of ES in diagnosis of previously undiagnosed but potentially Mendelian disorders across all ancestral populations.
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Affiliation(s)
- Yusuph Mavura
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA
- Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA
| | | | - Ugur Hodoglugil
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA
| | - Mark Kvale
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA
| | - Pierre-Marie Martin
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA
| | - Jessica Van Ziffle
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA
- Department of Pathology, University of California San Francisco, San Francisco, CA
| | - W. Patrick Devine
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA
- Department of Pathology, University of California San Francisco, San Francisco, CA
| | - Sara L. Ackerman
- Institute for Health & Aging, School of Nursing, University of California San Francisco, San Francisco, CA
- Department of Social & Behavioral Sciences, School of Nursing, University of California San Francisco, San Francisco, CA
| | - Barbara A Koenig
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA
- Program in Bioethics, University of California San Francisco, San Francisco, CA
| | - Pui-Yan Kwok
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA
- Cardiovascular Research Institute and Department of Dermatology, University of California San Francisco, San Francisco, CA
| | - Mary E. Norton
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA
- Division of Maternal Fetal Medicine, Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Francisco, San Francisco CA
| | - Anne Slavotinek
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA
- Department of Pediatrics, University of California, San Francisco, San Francisco CA
| | - Neil Risch
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA
- Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA
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Ackerman SL, Brown JEH, Zamora A, Outram S. "I Have Fought for so Many Things": Disadvantaged families' Efforts to Obtain Community-Based Services for Their Child after Genomic Sequencing. AJOB Empir Bioeth 2023; 14:208-217. [PMID: 37162201 PMCID: PMC10615790 DOI: 10.1080/23294515.2023.2209747] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
BACKGROUND Families whose child has unexplained intellectual or developmental differences often hope that a genetic diagnosis will lower barriers to community-based therapeutic and support services. However, there is little known about efforts to mobilize genetic information outside the clinic or how socioeconomic disadvantage shapes and constrains outcomes. METHODS We conducted an ethnographic study with predominantly socioeconomically disadvantaged families enrolled in a multi-year genomics research study, including clinic observations and in-depth interviews in English and Spanish at multiple time points. Coding and thematic development were used to collaboratively interpret fieldnotes and transcripts. RESULTS Thirty-two families participated. Themes included familial expectations that a genetic diagnosis could be translated into information, understanding, and assistance to improve the quality of a child's day-to-day life. After sequencing, however, genetic information was not readily converted into improved access to services beyond the clinic, with families often struggling to use a genetic diagnosis to advocate for their child. CONCLUSION Families' ability to use a genetic diagnosis as an effective advocacy tool beyond the clinic was limited by the knowledge and resources available to them, and by the eligibility criteria used by therapeutic service providers' - which focused on clinical diagnosis and functional criteria more than etiologic information. All families undertaking genomic testing, particularly those who are disadvantaged, need additional support to understand the limits and potential benefits of genetic information beyond the clinic.
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Affiliation(s)
- Sara L Ackerman
- Program in Bioethics, University of California San Francisco, San Francisco, California, USA
- Department of Social & Behavioral Sciences, University of California San Francisco, San Francisco, California, USA
- Institute for Health & Aging, University of California San Francisco, San Francisco, California, USA
| | - Julia E H Brown
- Program in Bioethics, University of California San Francisco, San Francisco, California, USA
- Institute for Health & Aging, University of California San Francisco, San Francisco, California, USA
| | - Astrid Zamora
- Program in Bioethics, University of California San Francisco, San Francisco, California, USA
- Department of Nutritional Sciences, University of Michigan, Ann Arbor, Michigan, USA
| | - Simon Outram
- Program in Bioethics, University of California San Francisco, San Francisco, California, USA
- Department of Social & Behavioral Sciences, University of California San Francisco, San Francisco, California, USA
- Institute for Health & Aging, University of California San Francisco, San Francisco, California, USA
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Okuyama S, White LL, Anderson KP, Medina E, Deutsch S, Ransom C, Jackson P, Kauffman TL, Mittendorf KF, Leo MC, Bulkley JE, Wilfond BS, Goddard KA, Feigelson HS. Evaluating cancer genetic services in a safety net system: overcoming barriers for a lasting impact beyond the CHARM research project. J Community Genet 2023:10.1007/s12687-023-00647-x. [PMID: 37126135 DOI: 10.1007/s12687-023-00647-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 04/14/2023] [Indexed: 05/02/2023] Open
Abstract
Underserved patients face substantial barriers to receiving cancer genetic services. The Cancer Health Assessments Reaching Many (CHARM) study evaluated ways to increase access to genetic testing for individuals in underserved populations at risk for hereditary cancer syndromes (HCS). Here, we report the successful implementation of CHARM in a low-resource environment and the development of sustainable processes to continue genetic risk assessment in this setting. The research team involved key clinical personnel and patient advisors at Denver Health to provide input on study methods and materials. Through iterative and collaborative stakeholder engagement, the team identified barriers and developed solutions that would both facilitate participation in CHARM and be feasible to implement and sustain long term in clinical care. With a focus on infrastructure building, educational modules were developed to increase awareness among referring providers, and standard methods of identifying and managing HCS patients were implemented in the electronic medical record. Three hundred sixty-four DH patients successfully completed the risk assessment tool within the study, and we observed a sustained increase in referrals to genetics for HCS (from 179 in 2017 to 427 in 2021 post-intervention). Implementation of the CHARM study at a low-resourced safety net health system resulted in sustainable improvements in access to cancer genetic risk assessment and services that continue even after the study ended.Trial registration NCT03426878.
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Affiliation(s)
- Sonia Okuyama
- Division of Oncology, Denver Health and Hospital Authority, Denver, CO, USA.
| | - Larissa L White
- Institute for Health Research, Kaiser Permanente, Aurora, CO, USA
| | | | - Elizabeth Medina
- Ambulatory Care Services, Denver Health and Hospital Authority, Denver, CO, USA
| | - Sonia Deutsch
- Ambulatory Care Services, Denver Health and Hospital Authority, Denver, CO, USA
| | | | - Paige Jackson
- Denver Health and Hospital Authority, Denver, CO, USA
| | - Tia L Kauffman
- Kaiser Permanente Center for Health Research, Portland, OR, USA
| | | | - Michael C Leo
- Kaiser Permanente Center for Health Research, Portland, OR, USA
| | - Joanna E Bulkley
- Department of Translational and Applied Genomics, Kaiser Permanente Center for Health Research, Portland, OR, USA
| | - Benjamin S Wilfond
- Treuman Katz Center for Pediatric Bioethics, Seattle Children's Research Institute and Hospital, Seattle, WA, USA
- Department of Pediatrics, University of Washington School of Medicine, Seattle, WA, USA
| | - Katrina Ab Goddard
- Department of Translational and Applied Genomics, Kaiser Permanente Center for Health Research, Portland, OR, USA
- Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, USA
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Griffin EL, Nees SN, Morton SU, Wynn J, Patel N, Jobanputra V, Robinson S, Kochav SM, Tao A, Andrews C, Cross N, Geva J, Lanzilotta K, Ritter A, Taillie E, Thompson A, Meyer C, Akers R, King EC, Cnota JF, Kim RW, Porter GA, Brueckner M, Seidman CE, Shen Y, Gelb BD, Goldmuntz E, Newburger JW, Roberts AE, Chung WK. Evidence-Based Assessment of Congenital Heart Disease Genes to Enable Returning Results in a Genomic Study. CIRCULATION. GENOMIC AND PRECISION MEDICINE 2023; 16:e003791. [PMID: 36803080 PMCID: PMC10121846 DOI: 10.1161/circgen.122.003791] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 10/28/2022] [Indexed: 02/23/2023]
Abstract
BACKGROUND Congenital heart disease (CHD) is the most common major congenital anomaly and causes significant morbidity and mortality. Epidemiologic evidence supports a role of genetics in the development of CHD. Genetic diagnoses can inform prognosis and clinical management. However, genetic testing is not standardized among individuals with CHD. We sought to develop a list of validated CHD genes using established methods and to evaluate the process of returning genetic results to research participants in a large genomic study. METHODS Two-hundred ninety-five candidate CHD genes were evaluated using a ClinGen framework. Sequence and copy number variants involving genes in the CHD gene list were analyzed in Pediatric Cardiac Genomics Consortium participants. Pathogenic/likely pathogenic results were confirmed on a new sample in a clinical laboratory improvement amendments-certified laboratory and disclosed to eligible participants. Adult probands and parents of probands who received results were asked to complete a post-disclosure survey. RESULTS A total of 99 genes had a strong or definitive clinical validity classification. Diagnostic yields for copy number variants and exome sequencing were 1.8% and 3.8%, respectively. Thirty-one probands completed clinical laboratory improvement amendments-confirmation and received results. Participants who completed postdisclosure surveys reported high personal utility and no decision regret after receiving genetic results. CONCLUSIONS The application of ClinGen criteria to CHD candidate genes yielded a list that can be used to interpret clinical genetic testing for CHD. Applying this gene list to one of the largest research cohorts of CHD participants provides a lower bound for the yield of genetic testing in CHD.
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Affiliation(s)
- Emily L. Griffin
- Dept of Pediatrics, Columbia University Irving Medical Center, New York, NY
| | - Shannon N. Nees
- Nemours Cardiac Center, Nemours Children’s Hospital, Delaware. Wilmington, DE
| | - Sarah U. Morton
- Division of Newborn Medicine, Dept of Medicine, Boston Children’s Hospital
- Dept of Pediatrics, Harvard Medical School, Boston, MA
| | - Julia Wynn
- Dept of Pediatrics, Columbia University Irving Medical Center, New York, NY
| | - Nihir Patel
- Mindich Child Health & Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Vaidehi Jobanputra
- Dept of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY
| | - Scott Robinson
- Dept of Pediatrics, Columbia University Irving Medical Center, New York, NY
| | - Stephanie M. Kochav
- Division of Cardiology, Dept of Medicine, Columbia University Vagelos College of Physicians & Surgeons, New York, NY
| | - Alice Tao
- Vagelos College of Physicians & Surgeons, Columbia University Irving Medical Center, New York, NY
| | - Carli Andrews
- Dept of Pediatrics, Columbia University Irving Medical Center, New York, NY
| | - Nancy Cross
- Division of Pediatric Cardiology, Yale School of Medicine, New Haven, CT
| | - Judith Geva
- Dept of Cardiology, Boston Children’s Hospital
| | - Kristen Lanzilotta
- Division of Cardiology, Children’s Hospital of Philadelphia, Dept of Pediatrics, Perelman School of Medicine, University of Pennsylvania
| | - Alyssa Ritter
- Division of Cardiology, Children’s Hospital of Philadelphia, Dept of Pediatrics, Perelman School of Medicine, University of Pennsylvania
- Division of Human Genetics, Dept of Pediatrics, The Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Eileen Taillie
- Dept of Pediatrics, Golisano Children’s Hospital, University of Rochester Medical Center, Rochester, NY
| | - Alexandra Thompson
- Division of Cardiothoracic Surgery, Children’s Hospital of Los Angeles, Los Angeles, CA
| | | | - Rachel Akers
- Division of Biostatistics & Epidemiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH
| | - Eileen C. King
- Division of Biostatistics & Epidemiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH
| | - James F Cnota
- The Heart Institute, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH
| | - Richard W. Kim
- Pediatric Cardiac Surgery, Children's Hospital of Los Angeles, Los Angeles, CA
| | - George A. Porter
- Dept of Pediatrics, University of Rochester Medical Center, The School of Medicine & Dentistry, Rochester, NY
| | - Martina Brueckner
- Dept of Genetics & Pediatrics, Yale University School of Medicine, New Haven, CT
| | - Christine E. Seidman
- Cardiovascular Division, Brigham and Women’s Hospital, Boston, MA
- Dept of Genetics, Harvard Medical School, Boston, MA
- Howard Hughes Medical Institute, Chevy Chase, MD
| | - Yufeng Shen
- Depts of Systems Biology & Biomedical Informatics, Columbia University, New York, NY
| | - Bruce D. Gelb
- Mindich Child Health & Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY
- Depts of Pediatrics and Genetics & Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Elizabeth Goldmuntz
- Division of Cardiology, Children’s Hospital of Philadelphia, Dept of Pediatrics, Perelman School of Medicine, University of Pennsylvania
| | - Jane W. Newburger
- Dept of Pediatrics, Harvard Medical School, Boston, MA
- Dept of Cardiology, Boston Children’s Hospital
| | - Amy E. Roberts
- Dept of Cardiology, Boston Children’s Hospital
- Division of Genetics, Dept of Pediatrics, Boston Children’s Hospital
| | - Wendy K. Chung
- Dept of Pediatrics, Columbia University Irving Medical Center, New York, NY
- Dept of Medicine, Columbia University Irving Medical Center, New York, NY
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Penon-Portmann M, Hodoglugil U, Arun P W, Yip T, Slavotinek A, Tenney JL. TRAPPC9-related neurodevelopmental disorder: Report of a homozygous deletion in TRAPPC9 due to paternal uniparental isodisomy. Am J Med Genet A 2023; 191:1077-1082. [PMID: 36574751 DOI: 10.1002/ajmg.a.63100] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Revised: 10/24/2022] [Accepted: 12/11/2022] [Indexed: 12/28/2022]
Abstract
TRAPPC9 loss-of-function biallelic variants are associated with an autosomal recessive intellectual disability syndrome (Online Mendelian Inheritance of Man no. 613192), also characterized by microcephaly, hypertelorism, obesity, growth delay, and behavioral differences. Here, we describe an 8-year-old Hispanic female with neurodevelopmental disorder, partial epilepsy, microcephaly, bilateral cleft lip and alveolus, growth delay, and dysmorphic features. She had abnormal myelination, mega cisterna magna, and colpocephaly on brain magnetic resonance imaging (MRI). Microarray showed a single ~146 Mb region of homozygosity (ROH) encompassing all of Chromosome 8, consistent with uniparental isodisomy (UPD). Exome sequencing performed in-house did not identify single nucleotide variants to explain her phenotype. Algorithms developed in-house and further evaluation of BAM files revealed a homozygous deletion overlapping Exon 2 in TRAPPC9 within the ROH. Subsequent del/dup analyses with exon-level oligo array confirmed a likely pathogenic deletion in TRAPPC9 (NM_031466.5): arr[GRCh37] 8q24.3(141460661_141461780)x0. Our case highlights the implications of downstream analyses from UPD/ROH given the increased risk for AR conditions, the strengths of combining orthologous molecular methods to establish a diagnosis and further delineates the TRAPPC9-related phenotype in an individual of Hispanic ancestry.
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Affiliation(s)
- Monica Penon-Portmann
- Division of Medical Genetics, Department of Pediatrics, University of California San Francisco, San Francisco, California, USA.,Division of Genetic Medicine, Department of Pediatrics, University of Washington, Seattle, Washington, USA
| | - Ugur Hodoglugil
- Genomic Medicine Laboratory, University of California San Francisco, San Francisco, California, USA
| | - Wiita Arun P
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, California, USA
| | - Tiffany Yip
- Institute for Human Genetics, University of California San Francisco, San Francisco, California, USA
| | - Anne Slavotinek
- Division of Medical Genetics, Department of Pediatrics, University of California San Francisco, San Francisco, California, USA.,Division of Human Genetics, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Jessica L Tenney
- Division of Medical Genetics, Department of Pediatrics, University of California San Francisco, San Francisco, California, USA
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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] [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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42
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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 : THE PREPRINT SERVER FOR HEALTH SCIENCES 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] [Abstract] [Grants] [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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Affiliation(s)
- 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
| | - Priya N Marathe
- 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, Bronx, NY, USA
| | - Katherine E Bonini
- 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
| | - Jacqueline A Odgis
- 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
| | - 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
| | - 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
| | - Saurav Guha
- Molecular Diagnostics, New York Genome Center, New York, NY, USA
| | - 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, USA
| | - Volkan Okur
- Molecular Diagnostics, New York Genome Center, 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
| | - Jessica E Rodriguez
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Atteeq U Rehman
- 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
| | - George A Diaz
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/ Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, 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
| | - Vaidehi Jobanputra
- Molecular Diagnostics, New York Genome Center, New York, NY, USA
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - Sabrina A Suckiel
- 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
| | - 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
- 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
| | - 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
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Russell H, Smith HS, Bensen JT, Murali P, Ferket BS, Finnila C, Hindorff LA, Sahin-Hodoglugil N. Lessons learned while starting multi-institutional genetics research in diverse populations: A report from the Clinical Sequencing Evidence-Generating Research (CSER) consortium. Contemp Clin Trials 2023; 125:107063. [PMID: 36567057 PMCID: PMC9918690 DOI: 10.1016/j.cct.2022.107063] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Revised: 11/28/2022] [Accepted: 12/20/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND Increasing diversity in clinical trial participation is necessary to improve health outcomes and requires addressing existing social, structural, and geographic barriers. The Clinical Sequencing Evidence-Generating Research Consortium (CSER) included six research projects to enroll historically underrepresented/underserved (UR/US) populations in clinical genomics research. Delays and project re-designs emerged shortly after work began. Understanding common experiences of these projects may inform future trial implementation. METHODS Semi-structured interviews with six CSER principal investigators and seven project managers were performed. An interview guide included questions of research/clinical infrastructure, logistics across sites, language, communication, and allocation of grant-related resources. Interviews were recorded, transcribed verbatim; transcripts were analyzed using inductive coding, thematic analysis and consensus building. RESULTS All projects collaborating with new clinical sub-sites to recruit UR/US populations. Refining trial logistics continued long after enrollment for all projects. Themes of challenges included: sub-site customization for workflow and genetics support, conflicting input from participant advisory groups and approval bodies, developing research personnel, complex data management structures, and external changes (e.g. subcontractors ending contracts) that required redesign. Themes of beneficial lessons included: domains with prior experience were easier, develop project champions at each sub-site, structure communication within the research team, and simplify research design when possible. CONCLUSIONS The operational aspects of expanding clinical research into novel sub-sites are significant and require investment of time and resources. The themes arising from these interviews suggest priority areas for more quantitative analyses in the future including multi-institutional approval policies and processes, data management structures, and incremental research complexity.
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Affiliation(s)
- Heidi Russell
- Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA.
| | - Hadley Stevens Smith
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX, USA
| | - Jeannette T Bensen
- Department of Epidemiology, University of North Carolina-Chapel Hill, Chapel Hill, NC, USA
| | - Priyanka Murali
- Department of Public Health Genetics, University of Washington, Seattle, WA, USA
| | - 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, USA
| | - Candice Finnila
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - Lucia A Hindorff
- Division of Genomic Medicine, National Human Genome Research Institute, Bethesda, MD, USA
| | - Nuriye Sahin-Hodoglugil
- Institute for Human Genetics, University of California-San Francisco, San Francisco, CA, USA
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Kraft SA, Russell H, Bensen JT, Bonini KE, Robinson JO, Sahin‐Hodoglugil N, Renna K, Hindorff LA, Kaufman D, Horowitz CR, Waltz M, Zepp JM, Knight SJ. Conducting clinical genomics research during the COVID-19 pandemic: Lessons learned from the CSER consortium experience. Am J Med Genet A 2023; 191:391-399. [PMID: 36341765 PMCID: PMC9839535 DOI: 10.1002/ajmg.a.63033] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 08/27/2022] [Accepted: 10/25/2022] [Indexed: 11/09/2022]
Abstract
Clinical research studies have navigated many changes throughout the COVID-19 pandemic. We sought to describe the pandemic's impact on research operations in the context of a clinical genomics research consortium that aimed to enroll a majority of participants from underrepresented populations. We interviewed (July to November 2020) and surveyed (May to August 2021) representatives of six projects in the Clinical Sequencing Evidence-Generating Research (CSER) consortium, which studies the implementation of genome sequencing in the clinical care of patients from populations that are underrepresented in genomics research or are medically underserved. Questions focused on COVID's impact on participant recruitment, enrollment, and engagement, and the transition to teleresearch. Responses were combined and thematically analyzed. Projects described factors at the project, institutional, and community levels that affected their experiences. Project factors included the project's progress at the pandemic's onset, the urgency of in-person clinical care for the disease being studied, and the degree to which teleresearch procedures were already incorporated. Institutional and community factors included institutional guidance for research and clinical care and the burden of COVID on the local community. Overall, being responsive to community experiences and values was essential to how CSER navigated evolving challenges during the COVID-19 pandemic.
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Affiliation(s)
- Stephanie A. Kraft
- Department of PediatricsUniversity of Washington School of MedicineSeattleWashingtonUSA
- Treuman Katz Center for Pediatric BioethicsSeattle Children′s Research InstituteSeattleWashingtonUSA
| | - Heidi Russell
- Department of PediatricsBaylor College of MedicineHoustonTexasUSA
| | - Jeannette T. Bensen
- Department of EpidemiologyUniversity of North Carolina‐Chapel HillChapel HillNorth CarolinaUSA
| | - Katherine E. Bonini
- Institute for Genomic HealthIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Jill O. Robinson
- Center for Medical Ethics and Health PolicyBaylor College of MedicineHoustonTexasUSA
| | - Nuriye Sahin‐Hodoglugil
- Institute for Human GeneticsUniversity of California‐San FranciscoSan FranciscoCaliforniaUSA
| | - Kathleen Renna
- Division of Genomic MedicineNational Human Genome Research InstituteBethesdaMarylandUSA
- Division of Genomics and SocietyNational Human Genome Research InstituteBethesdaMarylandUSA
| | - Lucia A. Hindorff
- Division of Genomic MedicineNational Human Genome Research InstituteBethesdaMarylandUSA
| | - Dave Kaufman
- Division of Genomics and SocietyNational Human Genome Research InstituteBethesdaMarylandUSA
| | - Carol R. Horowitz
- Institute for Health Equity ResearchIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Margaret Waltz
- Department of Social MedicineUniversity of North Carolina‐Chapel HillChapel HillNorth CarolinaUSA
| | - Jamilyn M. Zepp
- Department of Translational and Applied GenomicsCenter for Health Research, Kaiser Permanente NorthwestPortlandOregonUSA
| | - Sara J. Knight
- Department of Internal Medicine, Division of EpidemiologyUniversity of UtahSalt Lake CityUtahUSA
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Tawfik SM, Elhosseiny AA, Galal AA, William MB, Qansuwa E, Elbaz RM, Salama M. Health inequity in genomic personalized medicine in underrepresented populations: a look at the current evidence. Funct Integr Genomics 2023; 23:54. [PMID: 36719510 DOI: 10.1007/s10142-023-00979-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 01/24/2023] [Accepted: 01/24/2023] [Indexed: 02/01/2023]
Abstract
Improvements in sequencing technology coupled with dramatic declines in the cost of genome sequencing have led to a proportional growth in the size and number of genetic datasets since the release of the human genetic sequence by The Human Genome Project (HGP) international consortium. The HGP was undeniably a significant scientific success, a turning point in human genetics and the beginning of human genomics. This burst of genetic information has led to a greater understanding of disease pathology and the potential of employing this data to deliver more precise patient care. Hence, the recognition of high-penetrance disease-causing mutations which encode drivers of disease has made the management of most diseases more specific. Nonetheless, while genetic scores are becoming more extensively used, their application in the real world is expected to be limited due to the lack of diversity in the data used to construct them. Underrepresented populations, such as racial and ethnic minorities, low-income individuals, and those living in rural areas, often experience greater health disparities and worse health outcomes compared to the general population. These disparities are often the result of systemic barriers, such as poverty, discrimination, and limited access to healthcare. Addressing health inequity in underrepresented populations requires addressing the underlying social determinants of health and implementing policies and programs which promoted health equity and reduce disparities. This can include expanding access to affordable healthcare, addressing poverty and unemployment, and promoting policies that combat discrimination and racism.
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Affiliation(s)
- Sherouk M Tawfik
- Institute of Global Health and Human Ecology, School of Sciences and Engineering, The American University in Cairo, Cairo, 11835, Egypt.,Department of Pharmacology and Biochemistry, Faculty of Pharmacy, The British University in Egypt (BUE), Cairo, 11837, Egypt
| | - Aliaa A Elhosseiny
- Institute of Global Health and Human Ecology, School of Sciences and Engineering, The American University in Cairo, Cairo, 11835, Egypt.,Department of Pharmacology and Biochemistry, Faculty of Pharmacy, The British University in Egypt (BUE), Cairo, 11837, Egypt
| | - Aya A Galal
- Institute of Global Health and Human Ecology, School of Sciences and Engineering, The American University in Cairo, Cairo, 11835, Egypt.,Systems Genomics Laboratory, The American University in Cairo, New Cairo, Egypt
| | - Martina B William
- Institute of Global Health and Human Ecology, School of Sciences and Engineering, The American University in Cairo, Cairo, 11835, Egypt.,Department of Clinical Pharmacy, Faculty of Pharmacy, Assiut University, Assiut, Egypt
| | - Esraa Qansuwa
- Institute of Global Health and Human Ecology, School of Sciences and Engineering, The American University in Cairo, Cairo, 11835, Egypt
| | - Rana M Elbaz
- Institute of Global Health and Human Ecology, School of Sciences and Engineering, The American University in Cairo, Cairo, 11835, Egypt
| | - Mohamed Salama
- Institute of Global Health and Human Ecology, School of Sciences and Engineering, The American University in Cairo, Cairo, 11835, Egypt. .,Faculty of Medicine, Mansoura University, Mansoura, Egypt. .,Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland.
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46
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Schuster ALR, Crossnohere NL, Paskett J, Thomas N, Hampel H, Ma Q, Tiner JC, Paskett ED, Bridges JFP. Promoting patient engagement in cancer genomics research programs: An environmental scan. Front Genet 2023; 14:1053613. [PMID: 36741312 PMCID: PMC9889863 DOI: 10.3389/fgene.2023.1053613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 01/06/2023] [Indexed: 01/19/2023] Open
Abstract
Background: A national priority in the United States is to promote patient engagement in cancer genomics research, especially among diverse and understudied populations. Several cancer genomics research programs have emerged to accomplish this priority, yet questions remain about the meaning and methods of patient engagement. This study explored how cancer genomics research programs define engagement and what strategies they use to engage patients across stages in the conduct of research. Methods: An environmental scan was conducted of cancer genomics research programs focused on patient engagement. Research programs were identified and characterized using materials identified from publicly available sources (e.g., websites), a targeted literature review, and interviews with key informants. Descriptive information about the programs and their definitions of engagement, were synthesized using thematic analysis. The engagement strategies were synthesized and mapped to different stages in the conduct of research, including recruitment, consent, data collection, sharing results, and retention. Results: Ten research programs were identified, examples of which include the Cancer Moonshot Biobank, the MyPART Network, NCI-CONNECT, and the Participant Engagement and Cancer Genome Sequencing (PE-CGS) Network. All programs aimed to include understudied or underrepresented populations. Based on publicly available information, four programs explicitly defined engagement. These definitions similarly characterized engagement as being interpersonal, reciprocal, and continuous. Five general strategies of engagement were identified across the programs: 1) digital (such as websites) and 2) non-digital communications (such as radio broadcasts, or printed brochures); 3) partnering with community organizations; 4) providing incentives; and 5) affiliating with non-academic medical centers. Digital communications were the only strategy used across all stages of the conduct of research. Programs tailored these strategies to their study goals, including overcoming barriers to research participation among diverse populations. Conclusion: Programs studying cancer genomics are deeply committed to increasing research participation among diverse populations through patient engagement. Yet, the field needs to reach a consensus on the meaning of patient engagement, develop a taxonomy of patient engagement measures in cancer genomics research, and identify optimal strategies to engage patients in cancer genomics. Addressing these needs could enable patient engagement to fulfill its potential and accelerate the pace of cancer genomic discoveries.
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Affiliation(s)
- Anne L. R. Schuster
- Department of Biomedical Informatics, The Ohio State University College of Medicine, Columbus, OH, United States
| | - Norah L. Crossnohere
- Department of Biomedical Informatics, The Ohio State University College of Medicine, Columbus, OH, United States
| | - Jonathan Paskett
- Department of Biomedical Informatics, The Ohio State University College of Medicine, Columbus, OH, United States
| | - Neena Thomas
- Department of Biomedical Informatics, The Ohio State University College of Medicine, Columbus, OH, United States
| | - Heather Hampel
- Division of Clinical Cancer Genomics, City of Hope National Medical Center, Duarte, CA, United States
- Division of Human Genetics, The Ohio State University Wexner Medical Center, Columbus, OH, United States
| | - Qin Ma
- Department of Biomedical Informatics, The Ohio State University College of Medicine, Columbus, OH, United States
| | - Jessica C. Tiner
- Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, United States
| | - Electra D. Paskett
- Division of Cancer Prevention and Control, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, United States
- Division of Epidemiology, College of Public Health, The Ohio State University, Columbus, OH, United States
| | - John F. P. Bridges
- Department of Biomedical Informatics, The Ohio State University College of Medicine, Columbus, OH, United States
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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 : THE PREPRINT SERVER FOR BIOLOGY 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] [Abstract] [Key Words] [Grants] [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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48
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Blout Zawatsky CL, Bick D, Bier L, Funke B, Lebo M, Lewis KL, Orlova E, Qian E, Ryan L, Schwartz MLB, Soper ER. Elective genomic testing: Practice resource of the National Society of Genetic Counselors. J Genet Couns 2023; 32:281-299. [PMID: 36597794 DOI: 10.1002/jgc4.1654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 10/24/2022] [Accepted: 10/28/2022] [Indexed: 01/05/2023]
Abstract
Genetic counseling for patients who are pursuing genetic testing in the absence of a medical indication, referred to as elective genomic testing (EGT), is becoming more common. This type of testing has the potential to detect genetic conditions before there is a significant health impact permitting earlier management and/or treatment. Pre- and post-test counseling for EGT is similar to indication-based genetic testing. Both require a complete family and medical history when ordering a test or interpreting a result. However, EGT counseling has some special considerations including greater uncertainties around penetrance and clinical utility and a lack of published guidelines. While certain considerations in the selection of a high-quality genetic testing laboratory are universal, there are some considerations that are unique to the selection of a laboratory performing EGT. This practice resource intends to provide guidance for genetic counselors and other healthcare providers caring for adults seeking pre- or post-test counseling for EGT. Genetic counselors and other genetics trained healthcare providers are the ideal medical professionals to supply accurate information to individuals seeking counseling about EGT enabling them to make informed decisions about testing and follow-up.
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Affiliation(s)
- Carrie L Blout Zawatsky
- Genomes2People, Brigham and Women's Hospital, Boston, Massachusetts, USA.,Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, USA.,Ariadne Labs, Boston, Massachusetts, USA.,The MGH Institute of Health Professions, Boston, Massachusetts, USA
| | | | - Louise Bier
- Institute for Genomic Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | | | - Matthew Lebo
- Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, USA.,Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts, USA.,Department of Pathology, Harvard Medical School, Cambridge, Massachusetts, USA.,Laboratory for Molecular Medicine, Mass General Brigham Personalized Medicine, Boston, Massachusetts, USA
| | - Katie L Lewis
- Center for Precision Health Research, National Institutes of Health, Bethesda, Maryland, USA
| | - Ekaterina Orlova
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Emily Qian
- Department of Genetics, Yale University, New Haven, Connecticut, USA
| | | | - Marci L B Schwartz
- Cardiac Genome Clinic, Ted Rogers Centre for Heart Research, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Emily R Soper
- The Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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Outram SM, Brown J, Ackerman SL. The social value of genomic sequencing for disadvantaged families facing rare disease. Soc Sci Med 2022; 314:115465. [PMID: 36279794 DOI: 10.1016/j.socscimed.2022.115465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 10/12/2022] [Accepted: 10/14/2022] [Indexed: 11/06/2022]
Abstract
This study explores parental expectations and value-making processes in respect to pediatric clinical genomic sequencing for socially disadvantaged families. Drawing on interviews and ethnographic observations with parents of children with undiagnosed physical and/or intellectual differences seeking to find whether these differences have a genetic etiology, we explore expectations and parental assessments of the value of genomic sequencing within the context of an ongoing research study. We demonstrate how the value of sequencing to parents goes well beyond finding diagnostic results or receiving prescriptive guidance as to the best care and treatment of their child; instead, value is co-created by parents, clinicians, and genetic counsellors throughout the enrollment and return of results process. Parents in our study found that clinicians and genetic counsellors repeatedly reenforce that parents need to lower their expectations and be prepared to wait for genetic science to provide more definitive answers. At the same time, parents experience that clinical teams validate parents for having made a good choice in their undertaking of genomic sequencing and, no matter the result, that they are not to blame for their child's symptoms. The experience of many parents (although not all) is that genomic science reduces or removes their sense of guilt for their child's condition, providing a platform that affirms them as "good parents." Moreover, rather than being voiceless and isolated, socially disadvantaged parents who enter into diagnostic sequencing find themselves in a familial-biosocial framework wherein they are co-partners in a socially and biologically authoritative vision of the future.
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Affiliation(s)
- S M Outram
- Program in Bioethics, Institute for Health & Aging, University of California, San Francisco, CA, USA.
| | - Jeh Brown
- Program in Bioethics, Institute for Health & Aging, University of California, San Francisco, CA, USA
| | - S L Ackerman
- Department of Social & Behavioral Sciences, University of California, San Francisco, CA, USA
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Scollon S, Eldomery MK, Reuther J, Lin FY, Potter SL, Desrosiers L, McClain KL, Smith V, Su JMF, Venkatramani R, Hu J, Korchina V, Zarrin-Khameh N, Gibbs RA, Muzny DM, Eng C, Roy A, Parsons DW, Plon SE. Clinical and molecular features of pediatric cancer patients with Lynch syndrome. Pediatr Blood Cancer 2022; 69:e29859. [PMID: 35713195 PMCID: PMC9529793 DOI: 10.1002/pbc.29859] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 05/26/2022] [Accepted: 06/01/2022] [Indexed: 11/07/2022]
Abstract
BACKGROUND The association of childhood cancer with Lynch syndrome is not established compared with the significant pediatric cancer risk in recessive constitutional mismatch repair deficiency syndrome (CMMRD). PROCEDURE We describe the clinical features, germline analysis, and tumor genomic profiling of patients with Lynch syndrome among patients enrolled in pediatric cancer genomic studies. RESULTS There were six of 773 (0.8%) pediatric patients with solid tumors identified with Lynch syndrome, defined as a germline heterozygous pathogenic variant in one of the mismatch repair (MMR) genes (three with MSH6, two with MLH1, and one with MSH2). Tumor analysis demonstrated evidence for somatic second hits and/or increased tumor mutation burden in three of four patients with available tumor with potential implications for therapy and identification of at-risk family members. Only one patient met current guidelines for pediatric cancer genetics evaluation at the time of tumor diagnosis. CONCLUSION Approximately 1% of children with cancer have Lynch syndrome, which is missed with current referral guidelines, suggesting the importance of adding MMR genes to tumor and hereditary pediatric cancer panels. Tumor analysis may provide the first suggestion of an underlying cancer predisposition syndrome and is useful in distinguishing between Lynch syndrome and CMMRD.
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Affiliation(s)
- Sarah Scollon
- Department of Pediatrics, Texas Children’s Cancer and Hematology Center, Baylor College of Medicine, Houston, TX
| | - Mohammad K. Eldomery
- Department of Pathology, Texas Children’s Hospital, Houston, TX
- Department of Pathology & Immunology, Baylor College of Medicine, TX
| | - Jacquelyn Reuther
- Department of Pathology, Texas Children’s Hospital, Houston, TX
- Department of Pathology & Immunology, Baylor College of Medicine, TX
| | - Frank Y Lin
- Department of Pediatrics, Texas Children’s Cancer and Hematology Center, Baylor College of Medicine, Houston, TX
| | - Samara L Potter
- Department of Pediatrics, Texas Children’s Cancer and Hematology Center, Baylor College of Medicine, Houston, TX
| | - Lauren Desrosiers
- Department of Pediatrics, Texas Children’s Cancer and Hematology Center, Baylor College of Medicine, Houston, TX
| | - Kenneth L McClain
- Department of Pediatrics, Texas Children’s Cancer and Hematology Center, Baylor College of Medicine, Houston, TX
| | - Valeria Smith
- Department of Pediatrics, Texas Children’s Cancer and Hematology Center, Baylor College of Medicine, Houston, TX
| | - Jack Meng-Fen Su
- Department of Pediatrics, Texas Children’s Cancer and Hematology Center, Baylor College of Medicine, Houston, TX
| | - Rajkumar Venkatramani
- Department of Pediatrics, Texas Children’s Cancer and Hematology Center, Baylor College of Medicine, Houston, TX
| | - Jianhong Hu
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX
| | | | | | - Richard A Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX
| | - Donna M Muzny
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX
| | - Christine Eng
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX
| | - Angshumoy Roy
- Department of Pediatrics, Texas Children’s Cancer and Hematology Center, Baylor College of Medicine, Houston, TX
- Department of Pathology, Texas Children’s Hospital, Houston, TX
- Department of Pathology & Immunology, Baylor College of Medicine, TX
| | - D. Williams Parsons
- Department of Pediatrics, Texas Children’s Cancer and Hematology Center, Baylor College of Medicine, Houston, TX
- Department of Pathology, Texas Children’s Hospital, Houston, TX
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX
| | - Sharon E Plon
- Department of Pediatrics, Texas Children’s Cancer and Hematology Center, Baylor College of Medicine, Houston, TX
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX
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