1
|
Cole JJ, Sellitto AD, Baratta LR, Huecker JB, Balls-Berry JJE, Gurnett CA. Social Determinants of Genetics Referral and Completion Rates Among Pediatric Neurology Patients. Pediatr Neurol 2025; 165:78-86. [PMID: 39970807 PMCID: PMC11911075 DOI: 10.1016/j.pediatrneurol.2025.01.018] [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: 10/17/2023] [Revised: 05/18/2024] [Accepted: 01/21/2025] [Indexed: 02/21/2025]
Abstract
BACKGROUND To investigate clinical, social, and systems-level determinants predictive of genetics clinic referral and completion of genetics clinic visits among pediatric neurology patients. METHODS Electronic health record (EHR) data were extracted from pediatric patients (0-18 years) evaluated in pediatric neurology clinics at a single tertiary care institution between July 2018 and January 2020. Referral and referral completion rates to genetics clinics were compared among non-Hispanic single- or multiracial Black (Black) versus non-Hispanic White (White) patients using bivariablee analysis. Other ethnoracial identities were excluded due to small numbers. Variables associated with genetics clinic referral and visit completion were identified using logistic regressions. RESULTS In a cohort of 11,371 pediatric neurology patients, 304 were referred to genetics clinic and 229 (75.3%) completed genetics clinic visits. In multivariable analyses of Black and White patients (n = 10,601), genetics clinic referral rates did not differ by ethnoracial identity but were associated with younger age, rurality, neurodevelopmental disorder diagnosis, number of neurology clinic visits, and provider type. Genetics clinic visit completion rates were associated with number of neurology clinic visits and ethnoracial identity, with White patients twice as likely as Black patients to complete the visit (adjusted odds ratio=2.18; 95% confidence interval 1.06-4.48). CONCLUSIONS Although no disparity in genetics clinic referral rates was identified, White patients were twice as likely as Black patients to complete a genetics clinic visit after referral. Further work is needed to determine whether this is due to systemic/structural racism, differences in attitudes toward genetics, or other factors.
Collapse
Affiliation(s)
- Jordan J Cole
- Washington University School of Medicine in St. Louis, Department of Neurology, St. Louis, Missouri; University of Colorado Anschutz Medical Campus, Department of Pediatrics, Aurora, Colorado; Children's Hospital Colorado, Pediatric Neuroscience Institute, Aurora, Colorado.
| | - Angela D Sellitto
- Washington University School of Medicine in St. Louis, Department of Neurology, St. Louis, Missouri
| | - Laura Rosa Baratta
- Washington University School of Medicine in St. Louis, Institute for Informatics, Data Science, Biostatistics, St. Louis, Missouri
| | - Julia B Huecker
- Washington University School of Medicine in St. Louis, Institute for Informatics, Data Science, Biostatistics, St. Louis, Missouri
| | - Joyce Joy E Balls-Berry
- Washington University School of Medicine in St. Louis, Department of Neurology, St. Louis, Missouri
| | - Christina A Gurnett
- Washington University School of Medicine in St. Louis, Department of Neurology, St. Louis, Missouri
| |
Collapse
|
2
|
Cole JJ, Williams JP, Sellitto AD, Baratta LR, Huecker JB, Baldridge D, Kannampallil T, Gurnett CA, Balls-Berry JE. Association of Social Determinants of Health With Genetic Test Request and Completion Rates in Children With Neurologic Disorders. Neurology 2025; 104:e210275. [PMID: 39937999 PMCID: PMC11837850 DOI: 10.1212/wnl.0000000000210275] [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: 07/08/2024] [Accepted: 11/20/2024] [Indexed: 02/14/2025] Open
Abstract
BACKGROUND AND OBJECTIVES Genetic testing is critical for optimal diagnosis and management of pediatric neurology patients, but access is challenging. We investigated whether social determinants of health (SDOH) were associated with genetic testing among pediatric neurology patients in a retrospective observational study. METHODS Electronic health record data were extracted from pediatric outpatients (0-18 years) evaluated at a single tertiary care institution between July 2018 and January 2020. Genetic testing requests, insurance denials, and test completion rates were compared among non-Hispanic single-racial or multiracial Black (Black) vs non-Hispanic single-racial White (White) patients. SDOH and clinical variables including ethnoracial identity, insurance type, Area Deprivation Index, rural urban commuting area, sex, age, diagnoses, and number of neurology visits were evaluated to identify associations with chromosomal microarray (CMA), multigene panel (MGP), and exome/genome sequencing (ES/GS) test completion. RESULTS Of 11,371 patients (mean age 9.25 years; 46.1% female), 554 (4.9%) completed ≥1 genetic test in the study interval, with White patients nearly twice as likely to have completed ≥1 genetic test compared with Black patients (aOR 1.88, 95% CI 1.41-2.51). Outpatient pediatric neurology was the most common specialty through which testing was completed. Neurology provider request rates for genetic testing did not differ by patient ethnoracial identity, but insurance denial rates after neurology request were lower for White vs Black patients (relative rate ratio [RR] 0.44, 95% CI 0.27-0.73), and those with public insurance were less likely to complete genetic testing after it was requested through neurology (aOR 0.59, 95% CI 0.35-0.97). However, when considering individual genetic test types completed through any specialty, insurance type was significantly associated only with MGP completion (public vs private OR 0.56, 95% CI 0.40-0.77), not CMA or ES/GS. DISCUSSION Marked ethnoracial disparities in genetic testing completion were identified despite equivalent rates of genetic testing requests by neurologists. While Black patients had higher rates of insurance denials, insurance type itself accounted for the disparity in MGP but not CMA or ES/GS completion. Other unmeasured barriers stemming from systemic racism likely affected genetic testing among Black patients.
Collapse
Affiliation(s)
- Jordan Janae Cole
- Department of Pediatrics, Section of Neurology, University of Colorado, Aurora
| | - Jonathan P Williams
- Division of Epilepsy, Department of Neurology, Washington University in St. Louis, MO
| | - Angela D Sellitto
- Division of Pediatric and Developmental Neurology, Department of Neurology, Washington University in St. Louis, MO
| | - Laura Rosa Baratta
- Institute for Informatics, Data Science, and Biostatistics, Washington University in St. Louis, MO
| | - Julia B Huecker
- Institute for Informatics, Data Science, and Biostatistics, Washington University in St. Louis, MO
| | - Dustin Baldridge
- Division of Genetics and Genomic Medicine, Department of Pediatrics, Washington University in St. Louis, MO
| | - Thomas Kannampallil
- Institute for Informatics, Data Science, and Biostatistics, Washington University in St. Louis, MO
- Department of Anesthesiology, Washington University in St. Louis, MO; and
| | - Christina A Gurnett
- Division of Pediatric and Developmental Neurology, Department of Neurology, Washington University in St. Louis, MO
| | - Joyce E Balls-Berry
- Division of Aging and Dementia, Department of Neurology, Washington University in St. Louis, MO
| |
Collapse
|
3
|
Huo X, Lu X, Lu D, Liu H, Liu Y, Zhao Q, Sun Y, Dai W, Qiu W, Yu Y, Fan Y. Clinical utility of regions of homozygosity (ROH) identified in exome sequencing: when to pursue confirmatory uniparental disomy testing for imprinting disorders? Clin Chem Lab Med 2025; 63:87-96. [PMID: 39022805 DOI: 10.1515/cclm-2024-0239] [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: 02/22/2024] [Accepted: 07/07/2024] [Indexed: 07/20/2024]
Abstract
OBJECTIVES Regions of homozygosity (ROH) could implicate uniparental disomy (UPD) on specific chromosomes associated with imprinting disorders. Though the algorithms for ROH detection in exome sequencing (ES) have been developed, optimal reporting thresholds and when to pursue confirmatory UPD testing for imprinting disorders remain in ambiguity. This study used a data-driven approach to assess optimal reporting thresholds of ROH in clinical practice. METHODS ROH analysis was performed using Automap in a retrospective cohort of 8,219 patients and a prospective cohort of 1,964 patients with ES data. Cases with ROH on imprinting-disorders related chromosomes were selected for additional methylation-specific confirmatory testing. The diagnostic yield, the ROH pattern of eventually diagnosed cases and optimal thresholds for confirmatory testing were analyzed. RESULTS In the retrospective analysis, 15 true UPD cases of imprinting disorders were confirmed among 51 suspected cases by ROH detection. Pattern of ROH differed between confirmed UPD and non-UPD cases. Maximized yield and minimized false discovery rate of confirmatory UPD testing was achieved at the thresholds of >20 Mb or >25 % chromosomal coverage for interstitial ROH, and >5 Mb for terminal ROH. Current recommendation by ACMG was nearly optimal, though refined thresholds as proposed in this study could reduce the workload by 31 % without losing any true UPD diagnosis. Our refined thresholds remained optimal after independent evaluation in a prospective cohort. CONCLUSIONS ROH identified in ES could implicate the presence of clinically relevant UPD. This study recommended size and coverage thresholds for confirmatory UPD testing after ROH detection in ES, contributing to the development of evidence-based reporting guidelines.
Collapse
Affiliation(s)
- Xiaoyan Huo
- Clinical Genetics Center, 91603 Shanghai Institute for Pediatric Research , Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xinyi Lu
- Clinical Genetics Center, 91603 Shanghai Institute for Pediatric Research , Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Deyun Lu
- Clinical Genetics Center, 91603 Shanghai Institute for Pediatric Research , Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Huili Liu
- Clinical Genetics Center, 91603 Shanghai Institute for Pediatric Research , Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yi Liu
- Clinical Genetics Center, 91603 Shanghai Institute for Pediatric Research , Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qianfeng Zhao
- Clinical Genetics Center, 91603 Shanghai Institute for Pediatric Research , Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yu Sun
- Clinical Genetics Center, 91603 Shanghai Institute for Pediatric Research , Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weiqian Dai
- Clinical Genetics Center, 91603 Shanghai Institute for Pediatric Research , Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wenjuan Qiu
- Department of Pediatric Endocrinology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yongguo Yu
- Clinical Genetics Center, 91603 Shanghai Institute for Pediatric Research , Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yanjie Fan
- Clinical Genetics Center, 91603 Shanghai Institute for Pediatric Research , Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| |
Collapse
|
4
|
Kuiper JML, Borry P, Vears DF, Van Hoyweghen I. Boundary-work in genomic medicine: Safeguarding the future of diagnostic next-generation sequencing in the clinic. Soc Sci Med 2025; 365:117498. [PMID: 39642581 DOI: 10.1016/j.socscimed.2024.117498] [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: 10/19/2023] [Revised: 10/06/2024] [Accepted: 11/08/2024] [Indexed: 12/09/2024]
Abstract
Next-generation sequencing (NGS) technologies - which allow to look at large parts or even the whole genome at once - are making their way into diagnostic clinical care. With trends towards 'mainstreaming' genetic services into general medicine, significant ethical challenges, and a disputed clinical utility and cost-benefit ratio, genomic medicine's autonomy and dominance in defining and offering NGS care may come under increased pressure from the outside (e.g., regulators, other healthcare providers and facilities, ethicists, and patients). In this paper, we show how the field of genomic medicine engages in substantial boundary-work in reaction to these circumstances. Building on multi-sited fieldwork in two centers for human genetics in Belgium and the Netherlands, we show how acts of demarcation serve to uphold an image of expertise and authority which helps maintain the field's autonomy and dominance. Through examining the delineations put forward in interviews, practice (based on observations in multidisciplinary meetings and consultations), and grey and academic literature, we show the politics involved in moving NGS forward fairly seamlessly in a way that suits the field. First, we show how genetic healthcare professionals have redefined what makes a genetic test 'valuable' so that it underlines its current value. Secondly, we examine how a genetic imaginary is put forward that both emphasizes the extraordinary character of genomic medicine and the normalcy of NGS testing. By underlining the need for their expertise whilst simultaneously normalizing the ethical challenges and positioning themselves as most capable of reflecting on these, the field minimized external regulation and kept a close grip on defining ethical issues and policy. Despite their current dominance in shaping the future of genomic care, we argue that the closedness of the field hinders it from benefiting from external expertise, reflection, and monitoring to ensure enduring and broad support for this future.
Collapse
Affiliation(s)
| | - Pascal Borry
- Centre for Biomedical Ethics and Law, Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium.
| | - Danya F Vears
- Centre for Biomedical Ethics and Law, Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium; Biomedical Ethics Research Group, Murdoch Children's Research Institute, Parkville, Australia; Melbourne Law School, University of Melbourne, Parkville, Australia.
| | | |
Collapse
|
5
|
Barbour K, Bainbridge MN, Wigby K, Besterman AD, Chuang NA, Tobin LE, Del Campo M, Lenberg J, Bird LM, Friedman J. The Face and Features of RNU4-2: A New, Common, Recognizable, Yet Hidden Neurodevelopmental Disorder. Pediatr Neurol 2024; 161:188-193. [PMID: 39423747 DOI: 10.1016/j.pediatrneurol.2024.09.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2024] [Revised: 08/22/2024] [Accepted: 09/16/2024] [Indexed: 10/21/2024]
Abstract
BACKGROUND RNU4-2 is a newly identified, noncoding gene responsible for a significant proportion of individuals with neurodevelopmental disorders (NDDs). Diagnosis is hampered by the inability of commonly employed clinical testing methods, including exome sequencing and currently formulated multigene panels, to detect variants in the noncoding region. The relatively high prevalence of this condition, predicted to affect thousands of undiagnosed children with NDDs, makes it even more relevant to have better tools to facilitate diagnosis. The initial report of the gene-disease association outlined aggregate phenotypic features but lacked detailed patient evaluations, potentially under-reporting phenotypic features and failing to highlight unique aspects. We aimed to identify individuals with RNU4-2 gene variants to deeply phenotype the clinical profile. We sought to define key features that may suggest the diagnosis, to highlight individuals for whom specialized testing, able to detect noncoding region variants, may be indicated. METHODS We reviewed genomic data from 6,734 individuals, identifying five with recurrent de novo RNU4-2 (n.64_65insT) variants. We clinically evaluated four. Findings were compared with those previously reported. RESULTS We identify common clinical features, a distinctive dysmorphic facial pattern, and shared imaging abnormalities. We describe novel aspects including longitudinal trajectory and treatment response. CONCLUSIONS Enhanced recognition of the RNU4-2 (n.64_65insT-common variant) phenotype, particularly the dysmorphic facial features, will facilitate earlier diagnosis. Distinctive characteristics will guide the selection of patients for testing able to detect RNU4-2 variants: genome sequencing or targeted gene testing. Furthermore, health and research systems may identify undiagnosed patients by querying databases for individuals exhibiting the traits described herein.
Collapse
Affiliation(s)
- Kristen Barbour
- Division of Genetics and Dysmorphology, Department of Pediatrics, University of California, San Diego, Rady Children's Hospital, San Diego, California
| | | | - Kristen Wigby
- Department of Pediatrics, University of California, Davis, Davis, California; University of California Davis Health, MIND Institute, Davis, California
| | - Aaron D Besterman
- Rady Children's Institute for Genomic Medicine, San Diego, California; Department of Psychiatry, University of California, San Diego, La Jolla, California; Division of Child and Adolescent Psychiatry, Rady Children's Hospital, San Diego, California
| | - Nathaniel A Chuang
- Department of Radiology, Rady Children's Hospital, San Diego, California; University of California, San Diego, La Jolla, California
| | - Laura E Tobin
- Rady Children's Institute for Genomic Medicine, San Diego, California
| | - Miguel Del Campo
- Division of Genetics and Dysmorphology, Department of Pediatrics, University of California, San Diego, Rady Children's Hospital, San Diego, California
| | - Jerica Lenberg
- Rady Children's Institute for Genomic Medicine, San Diego, California
| | - Lynne M Bird
- Division of Genetics and Dysmorphology, Department of Pediatrics, University of California, San Diego, Rady Children's Hospital, San Diego, California
| | - Jennifer Friedman
- Rady Children's Institute for Genomic Medicine, San Diego, California; Departments of Neurosciences and Pediatrics, University of California, San Diego, La Jolla, California; Division of Neurology, Rady Children's Hospital, San Diego, California.
| |
Collapse
|
6
|
Srivastava S, Cole JJ, Cohen JS, Chopra M, Smith HS, Deardorff MA, Pedapati E, Corner B, Anixt JS, Jeste S, Sahin M, Gurnett CA, Campbell CA. Survey of the Landscape of Society Practice Guidelines for Genetic Testing of Neurodevelopmental Disorders. Ann Neurol 2024; 96:900-913. [PMID: 39319594 PMCID: PMC11496025 DOI: 10.1002/ana.27045] [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: 02/22/2024] [Revised: 07/09/2024] [Accepted: 07/15/2024] [Indexed: 09/26/2024]
Abstract
Genetic testing of patients with neurodevelopmental disabilities (NDDs) is critical for diagnosis, medical management, and access to precision therapies. Because genetic testing approaches evolve rapidly, professional society practice guidelines serve an essential role in guiding clinical care; however, several challenges exist regarding the creation and equitable implementation of these guidelines. In this scoping review, we assessed the current state of United States professional societies' guidelines pertaining to genetic testing for unexplained global developmental delay, intellectual disability, autism spectrum disorder, and cerebral palsy. We describe several identified shortcomings and argue the need for a unified, frequently updated, and easily-accessible cross-specialty society guideline. ANN NEUROL 2024;96:900-913.
Collapse
Affiliation(s)
- Siddharth Srivastava
- Department of Neurology, Rosamund Stone Zander Translational Neuroscience Center, Boston Children’s Hospital, Harvard Medical School
| | | | - Julie S. Cohen
- Department of Neurology and Developmental Medicine, Kennedy Krieger Institute; Department of Neurology, Johns Hopkins School of Medicine
| | - Maya Chopra
- Department of Neurology, Rosamund Stone Zander Translational Neuroscience Center, Boston Children’s Hospital, Harvard Medical School
| | - Hadley Stevens Smith
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute
| | - Matthew A. Deardorff
- Department of Pathology and Pediatrics, Keck School of Medicine of USC, Children’s Hospital Los Angeles
| | - Ernest Pedapati
- Department of Psychiatry and Behavioral Neuroscience, Cincinnati Children’s Hospital
| | - Brian Corner
- Department of Pediatrics and Genetics, Vanderbilt University Medical Center
| | - Julia S. Anixt
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati Children’s Hospital
| | - Shafali Jeste
- Department of Neurology, Keck School of Medicine of USC, Children’s Hospital Los Angeles
| | - Mustafa Sahin
- Department of Neurology, Rosamund Stone Zander Translational Neuroscience Center, Boston Children’s Hospital, Harvard Medical School
| | | | - Colleen A. Campbell
- Department of Internal Medicine, University of Iowa, Carver College of Medicine
| |
Collapse
|
7
|
Copeland H, Low KJ, Wynn SL, Ahmed A, Arthur V, Balasubramanian M, Bennett K, Berg J, Bertoli M, Bryson L, Bucknall C, Campbell J, Chandler K, Chauhan J, Clarkson A, Coles R, Conti H, Costello P, Coupar T, Craig A, Dean J, Dillon A, Dixit A, Drew K, Eason J, Forzano F, Foulds N, Gardham A, Ghali N, Green A, Hanna W, Harrison R, Hegarty M, Higgs J, Holder M, Irving R, Jain V, Johnson K, Jolley R, Jones WD, Jones G, Joss S, Kalinauskiene R, Kanani F, Kavanagh K, Khan M, Khan N, Kivuva E, Lahiri N, Lakhani N, Lampe A, Lynch SA, Mansour S, Marsden A, Massey H, McKee S, Mohammed S, Naik S, Nesarajah M, Newbury-Ecob R, Osborne F, Parker MJ, Patterson J, Pottinger C, Prapa M, Prescott K, Quinn S, Radley JA, Robart S, Ross A, Rosti G, Sansbury FH, Sarkar A, Searle C, Shannon N, Shears D, Smithson S, Stewart H, Suri M, Tadros S, Theobald R, Thomas R, Tsoulaki O, Vasudevan P, Rodriguez MV, Vittery E, Whyte S, Woods E, Wright T, Zocche D, Firth HV, Wright CF. Large-scale evaluation of outcomes after a genetic diagnosis in children with severe developmental disorders. GENETICS IN MEDICINE OPEN 2024; 2:101864. [PMID: 39822267 PMCID: PMC11736166 DOI: 10.1016/j.gimo.2024.101864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 06/19/2024] [Accepted: 06/20/2024] [Indexed: 01/19/2025]
Abstract
Purpose We sought to evaluate outcomes for clinical management after a genetic diagnosis from the Deciphering Developmental Disorders study. Methods Individuals in the Deciphering Developmental Disorders study who had a pathogenic/likely pathogenic genotype in the DECIPHER database were selected for inclusion (n = 5010). Clinical notes from regional clinical genetics services notes were reviewed to assess predefined clinical outcomes relating to interventions, prenatal choices, and information provision. Results Outcomes were recorded for 4237 diagnosed probands (85% of those eligible) from all 24 recruiting centers across the United Kingdom and Ireland. Clinical management was reported to have changed in 28% of affected individuals. Where individual-level interventions were recorded, additional diagnostic or screening tests were started in 903 (21%) probands through referral to a range of different clinical specialties, and stopped or avoided in a further 26 (0.6%). Disease-specific treatment was started in 85 (2%) probands, including seizure-control medications and dietary supplements, and contra-indicated medications were stopped or avoided in a further 20 (0.5%). The option of prenatal/preimplantation genetic testing was discussed with 1204 (28%) families, despite the relatively advanced age of the parents at the time of diagnosis. Importantly, condition-specific information or literature was given to 3214 (76%) families, and 880 (21%) were involved in family support groups. In the most common condition (KBG syndrome; 79 [2%] probands), clinical interventions only partially reflected the temporal development of phenotypes, highlighting the importance of consensus management guidelines and patient support groups. Conclusion Our results underscore the importance of achieving a clinico-molecular diagnosis to ensure timely onward referral of patients, enabling appropriate care and anticipatory surveillance, and for accessing relevant patient support groups.
Collapse
Affiliation(s)
- Harriet Copeland
- Peninsula Clinical Genetics, Clinical Genetics, Royal Devon University Healthcare NHS Foundation Trust, Exeter, United Kingdom
| | - Karen J. Low
- Bristol Regional Clinical Genetics Service, Level B, St Michael’s Hospital, Bristol, United Kingdom
- Centre for Academic Child Health, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Sarah L. Wynn
- Unique (Rare Chromosome Disorder Support Group), Oxted, Surrey, United Kingdom
| | - Ayesha Ahmed
- All Wales Medical Genomics Service, Wales Genomic Health Centre, Cardiff Edge Business Park, Whitchurch, Cardiff, United Kingdom
| | - Victoria Arthur
- Manchester Centre for Genomic Medicine, St Mary’s Hospital, Manchester, United Kingdom
| | - Meena Balasubramanian
- Sheffield Clinical Genomics Service, Sheffield Children’s NHS Foundation Trust, Sheffield, United Kingdom
| | - Katya Bennett
- Liverpool Centre for Genomic Medicine, Liverpool Women’s Hospital, Liverpool, United Kingdom
| | - Jonathan Berg
- Clinical Genetics, Human Genetics Unit, Ninewells Hospital, Dundee, United Kingdom
| | - Marta Bertoli
- Northern Genetics Service, The Newcastle upon Tyne Hospitals NHS Foundation Trust, Institute of Genetic Medicine, International Centre for Life, Newcastle upon Tyne, United Kingdom
| | - Lisa Bryson
- West of Scotland Centre for Genomic Medicine, Laboratory Medicine Building, Queen Elizabeth University Hospital, Glasgow, United Kingdom
| | - Catrin Bucknall
- All Wales Medical Genomics Service, Wales Genomic Health Centre, Cardiff Edge Business Park, Whitchurch, Cardiff, United Kingdom
| | - Jamie Campbell
- North of Scotland Regional Genetics Service, Clinical Genetics Centre, Ashgrove House, Aberdeen Royal Infirmary, Foresterhill, Aberdeen, United Kingdom
| | - Kate Chandler
- Manchester Centre for Genomic Medicine, St Mary’s Hospital, Manchester, United Kingdom
| | - Jaynee Chauhan
- Yorkshire Regional Genetics Service, Chapel Allerton Hospital, Leeds, United Kingdom
| | - Amy Clarkson
- Northern Genetics Service, The Newcastle upon Tyne Hospitals NHS Foundation Trust, Institute of Genetic Medicine, International Centre for Life, Newcastle upon Tyne, United Kingdom
| | - Rachel Coles
- North West Thames Regional Genetics Service, London North West University Healthcare NHS Trust, Northwick Park Hospital, Harrow, United Kingdom
| | - Hector Conti
- All Wales Medical Genomics Service, Wales Genomic Health Centre, Cardiff Edge Business Park, Whitchurch, Cardiff, United Kingdom
| | - Philandra Costello
- Wessex Clinical Genetics Service, Princess Anne Hospital, Southampton, United Kingdom
| | - Tessa Coupar
- Clinical Genetics, Human Genetics Unit, Ninewells Hospital, Dundee, United Kingdom
| | - Amy Craig
- South West Thames Centre for Genomics, St. George's University Hospital, Tooting, London, United Kingdom
| | - John Dean
- North of Scotland Regional Genetics Service, Clinical Genetics Centre, Ashgrove House, Aberdeen Royal Infirmary, Foresterhill, Aberdeen, United Kingdom
| | - Amy Dillon
- Manchester Centre for Genomic Medicine, St Mary’s Hospital, Manchester, United Kingdom
| | - Abhijit Dixit
- Nottingham Regional Genetics Service, Nottingham City Hospital Campus, The Gables, Nottingham, United Kingdom
| | - Kathryn Drew
- West Midlands Regional Genetics Service, Department of Clinical Genetics, Birmingham Women’s Hospital, Edgbaston, United Kingdom
| | - Jacqueline Eason
- Nottingham Regional Genetics Service, Nottingham City Hospital Campus, The Gables, Nottingham, United Kingdom
| | - Francesca Forzano
- Department of Clinical Genetics, Guy's Hospital, London, United Kingdom
| | - Nicola Foulds
- Wessex Clinical Genetics Service, Princess Anne Hospital, Southampton, United Kingdom
| | - Alice Gardham
- North West Thames Regional Genetics Service, London North West University Healthcare NHS Trust, Northwick Park Hospital, Harrow, United Kingdom
| | - Neeti Ghali
- North West Thames Regional Genetics Service, London North West University Healthcare NHS Trust, Northwick Park Hospital, Harrow, United Kingdom
| | - Andrew Green
- Department of Clinical Genetics, Children’s Health Ireland, Crumlin, Ireland
| | - William Hanna
- Northern Ireland Regional Genetics Service, Medical Genetics Department, Belfast City Hospital, Belfast, United Kingdom
| | - Rachel Harrison
- Nottingham Regional Genetics Service, Nottingham City Hospital Campus, The Gables, Nottingham, United Kingdom
| | - Mairead Hegarty
- Northern Ireland Regional Genetics Service, Medical Genetics Department, Belfast City Hospital, Belfast, United Kingdom
| | - Jenny Higgs
- Liverpool Centre for Genomic Medicine, Liverpool Women’s Hospital, Liverpool, United Kingdom
| | - Muriel Holder
- Department of Clinical Genetics, Guy's Hospital, London, United Kingdom
| | - Rachel Irving
- All Wales Medical Genomics Service, Wales Genomic Health Centre, Cardiff Edge Business Park, Whitchurch, Cardiff, United Kingdom
| | - Vani Jain
- All Wales Medical Genomics Service, Wales Genomic Health Centre, Cardiff Edge Business Park, Whitchurch, Cardiff, United Kingdom
| | - Katie Johnson
- Nottingham Regional Genetics Service, Nottingham City Hospital Campus, The Gables, Nottingham, United Kingdom
| | - Rachel Jolley
- West Midlands Regional Genetics Service, Department of Clinical Genetics, Birmingham Women’s Hospital, Edgbaston, United Kingdom
| | - Wendy D. Jones
- North East Thames Regional Genetics Service, Clinical Genetics Unit, Great Ormond Street Hospital NHS Trust, London, United Kingdom
| | - Gabriela Jones
- Nottingham Regional Genetics Service, Nottingham City Hospital Campus, The Gables, Nottingham, United Kingdom
| | - Shelagh Joss
- West of Scotland Centre for Genomic Medicine, Laboratory Medicine Building, Queen Elizabeth University Hospital, Glasgow, United Kingdom
| | | | - Farah Kanani
- Sheffield Clinical Genomics Service, Sheffield Children’s NHS Foundation Trust, Sheffield, United Kingdom
| | - Karl Kavanagh
- Department of Clinical Genetics, Children’s Health Ireland, Crumlin, Ireland
| | - Mahmudur Khan
- North West Thames Regional Genetics Service, London North West University Healthcare NHS Trust, Northwick Park Hospital, Harrow, United Kingdom
| | - Naz Khan
- Manchester Centre for Genomic Medicine, St Mary’s Hospital, Manchester, United Kingdom
| | - Emma Kivuva
- Peninsula Clinical Genetics, Clinical Genetics, Royal Devon University Healthcare NHS Foundation Trust, Exeter, United Kingdom
| | - Nayana Lahiri
- South West Thames Centre for Genomics, St. George's University Hospital, Tooting, London, United Kingdom
| | - Neeta Lakhani
- Leicestershire, Northamptonshire and Rutland Genomic Medicine Service, Leicester Royal Infirmary, University Hospitals of Leicester NHS Trust, Leicester, United Kingdom
| | - Anne Lampe
- South East Scotland Clinical Genetics Service, Western General Hospital, Edinburgh, United Kingdom
| | - Sally Ann Lynch
- Department of Clinical Genetics, Children’s Health Ireland, Crumlin, Ireland
| | - Sahar Mansour
- South West Thames Centre for Genomics, St. George's University Hospital, Tooting, London, United Kingdom
| | - Alice Marsden
- Liverpool Centre for Genomic Medicine, Liverpool Women’s Hospital, Liverpool, United Kingdom
| | - Hannah Massey
- North of Scotland Regional Genetics Service, Clinical Genetics Centre, Ashgrove House, Aberdeen Royal Infirmary, Foresterhill, Aberdeen, United Kingdom
| | - Shane McKee
- Northern Ireland Regional Genetics Service, Medical Genetics Department, Belfast City Hospital, Belfast, United Kingdom
| | - Shehla Mohammed
- Department of Clinical Genetics, Guy's Hospital, London, United Kingdom
| | - Swati Naik
- West Midlands Regional Genetics Service, Department of Clinical Genetics, Birmingham Women’s Hospital, Edgbaston, United Kingdom
| | - Mithushanaa Nesarajah
- Manchester Centre for Genomic Medicine, St Mary’s Hospital, Manchester, United Kingdom
| | - Ruth Newbury-Ecob
- Bristol Regional Clinical Genetics Service, Level B, St Michael’s Hospital, Bristol, United Kingdom
| | - Fiona Osborne
- South East Scotland Clinical Genetics Service, Western General Hospital, Edinburgh, United Kingdom
| | - Michael J. Parker
- Sheffield Clinical Genomics Service, Sheffield Children’s NHS Foundation Trust, Sheffield, United Kingdom
| | - Jenny Patterson
- West of Scotland Centre for Genomic Medicine, Laboratory Medicine Building, Queen Elizabeth University Hospital, Glasgow, United Kingdom
| | - Caroline Pottinger
- All Wales Medical Genomics Service, Wales Genomic Health Centre, Cardiff Edge Business Park, Whitchurch, Cardiff, United Kingdom
| | - Matina Prapa
- East Anglian Medical Genetics Service, Clinical Genetics, Addenbrooke’s Treatment Centre, Addenbrooke’s Hospital, Cambridge, United Kingdom
| | - Katrina Prescott
- Yorkshire Regional Genetics Service, Chapel Allerton Hospital, Leeds, United Kingdom
| | - Shauna Quinn
- Department of Clinical Genetics, Children’s Health Ireland, Crumlin, Ireland
| | - Jessica A. Radley
- North West Thames Regional Genetics Service, London North West University Healthcare NHS Trust, Northwick Park Hospital, Harrow, United Kingdom
| | - Sarah Robart
- North East Thames Regional Genetics Service, Clinical Genetics Unit, Great Ormond Street Hospital NHS Trust, London, United Kingdom
| | - Alison Ross
- North of Scotland Regional Genetics Service, Clinical Genetics Centre, Ashgrove House, Aberdeen Royal Infirmary, Foresterhill, Aberdeen, United Kingdom
| | - Giulia Rosti
- Department of Clinical Genetics, Guy's Hospital, London, United Kingdom
| | - Francis H. Sansbury
- All Wales Medical Genomics Service, Wales Genomic Health Centre, Cardiff Edge Business Park, Whitchurch, Cardiff, United Kingdom
| | - Ajoy Sarkar
- Nottingham Regional Genetics Service, Nottingham City Hospital Campus, The Gables, Nottingham, United Kingdom
| | - Claire Searle
- Nottingham Regional Genetics Service, Nottingham City Hospital Campus, The Gables, Nottingham, United Kingdom
| | - Nora Shannon
- Nottingham Regional Genetics Service, Nottingham City Hospital Campus, The Gables, Nottingham, United Kingdom
| | - Debbie Shears
- Oxford Centre for Genomic Medicine, Department of Clinical Genetics, Churchill Hospital, Headington, Oxford, United Kingdom
| | - Sarah Smithson
- Bristol Regional Clinical Genetics Service, Level B, St Michael’s Hospital, Bristol, United Kingdom
| | - Helen Stewart
- Oxford Centre for Genomic Medicine, Department of Clinical Genetics, Churchill Hospital, Headington, Oxford, United Kingdom
| | - Mohnish Suri
- Nottingham Regional Genetics Service, Nottingham City Hospital Campus, The Gables, Nottingham, United Kingdom
| | - Shereen Tadros
- North East Thames Regional Genetics Service, Clinical Genetics Unit, Great Ormond Street Hospital NHS Trust, London, United Kingdom
| | - Rachel Theobald
- Northern Genetics Service, The Newcastle upon Tyne Hospitals NHS Foundation Trust, Institute of Genetic Medicine, International Centre for Life, Newcastle upon Tyne, United Kingdom
| | - Rhian Thomas
- South West Thames Centre for Genomics, St. George's University Hospital, Tooting, London, United Kingdom
| | - Olga Tsoulaki
- Sheffield Clinical Genomics Service, Sheffield Children’s NHS Foundation Trust, Sheffield, United Kingdom
| | - Pradeep Vasudevan
- Leicestershire, Northamptonshire and Rutland Genomic Medicine Service, Leicester Royal Infirmary, University Hospitals of Leicester NHS Trust, Leicester, United Kingdom
| | | | - Emma Vittery
- Northern Genetics Service, The Newcastle upon Tyne Hospitals NHS Foundation Trust, Institute of Genetic Medicine, International Centre for Life, Newcastle upon Tyne, United Kingdom
| | - Sinead Whyte
- North East Thames Regional Genetics Service, Clinical Genetics Unit, Great Ormond Street Hospital NHS Trust, London, United Kingdom
| | - Emily Woods
- Sheffield Clinical Genomics Service, Sheffield Children’s NHS Foundation Trust, Sheffield, United Kingdom
| | - Thomas Wright
- Manchester Centre for Genomic Medicine, St Mary’s Hospital, Manchester, United Kingdom
| | - David Zocche
- Oxford Centre for Genomic Medicine, Department of Clinical Genetics, Churchill Hospital, Headington, Oxford, United Kingdom
| | - Helen V. Firth
- East Anglian Medical Genetics Service, Clinical Genetics, Addenbrooke’s Treatment Centre, Addenbrooke’s Hospital, Cambridge, United Kingdom
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom
| | - Caroline F. Wright
- Department of Clinical and Biomedical Sciences, Medical School, University of Exeter, St Luke’s Campus, Exeter, United Kingdom
| | - the DDD Study28
- Peninsula Clinical Genetics, Clinical Genetics, Royal Devon University Healthcare NHS Foundation Trust, Exeter, United Kingdom
- Bristol Regional Clinical Genetics Service, Level B, St Michael’s Hospital, Bristol, United Kingdom
- Centre for Academic Child Health, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- Unique (Rare Chromosome Disorder Support Group), Oxted, Surrey, United Kingdom
- All Wales Medical Genomics Service, Wales Genomic Health Centre, Cardiff Edge Business Park, Whitchurch, Cardiff, United Kingdom
- Manchester Centre for Genomic Medicine, St Mary’s Hospital, Manchester, United Kingdom
- Sheffield Clinical Genomics Service, Sheffield Children’s NHS Foundation Trust, Sheffield, United Kingdom
- Liverpool Centre for Genomic Medicine, Liverpool Women’s Hospital, Liverpool, United Kingdom
- Clinical Genetics, Human Genetics Unit, Ninewells Hospital, Dundee, United Kingdom
- Northern Genetics Service, The Newcastle upon Tyne Hospitals NHS Foundation Trust, Institute of Genetic Medicine, International Centre for Life, Newcastle upon Tyne, United Kingdom
- West of Scotland Centre for Genomic Medicine, Laboratory Medicine Building, Queen Elizabeth University Hospital, Glasgow, United Kingdom
- North of Scotland Regional Genetics Service, Clinical Genetics Centre, Ashgrove House, Aberdeen Royal Infirmary, Foresterhill, Aberdeen, United Kingdom
- Yorkshire Regional Genetics Service, Chapel Allerton Hospital, Leeds, United Kingdom
- North West Thames Regional Genetics Service, London North West University Healthcare NHS Trust, Northwick Park Hospital, Harrow, United Kingdom
- Wessex Clinical Genetics Service, Princess Anne Hospital, Southampton, United Kingdom
- South West Thames Centre for Genomics, St. George's University Hospital, Tooting, London, United Kingdom
- Nottingham Regional Genetics Service, Nottingham City Hospital Campus, The Gables, Nottingham, United Kingdom
- West Midlands Regional Genetics Service, Department of Clinical Genetics, Birmingham Women’s Hospital, Edgbaston, United Kingdom
- Department of Clinical Genetics, Guy's Hospital, London, United Kingdom
- Department of Clinical Genetics, Children’s Health Ireland, Crumlin, Ireland
- Northern Ireland Regional Genetics Service, Medical Genetics Department, Belfast City Hospital, Belfast, United Kingdom
- North East Thames Regional Genetics Service, Clinical Genetics Unit, Great Ormond Street Hospital NHS Trust, London, United Kingdom
- Leicestershire, Northamptonshire and Rutland Genomic Medicine Service, Leicester Royal Infirmary, University Hospitals of Leicester NHS Trust, Leicester, United Kingdom
- South East Scotland Clinical Genetics Service, Western General Hospital, Edinburgh, United Kingdom
- East Anglian Medical Genetics Service, Clinical Genetics, Addenbrooke’s Treatment Centre, Addenbrooke’s Hospital, Cambridge, United Kingdom
- Oxford Centre for Genomic Medicine, Department of Clinical Genetics, Churchill Hospital, Headington, Oxford, United Kingdom
- Department of Clinical and Biomedical Sciences, Medical School, University of Exeter, St Luke’s Campus, Exeter, United Kingdom
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom
| |
Collapse
|
8
|
Poli MC, Rebolledo-Jaramillo B, Lagos C, Orellana J, Moreno G, Martín LM, Encina G, Böhme D, Faundes V, Zavala MJ, Hasbún T, Fischer S, Brito F, Araya D, Lira M, de la Cruz J, Astudillo C, Lay-Son G, Cares C, Aracena M, Martin ES, Coban-Akdemir Z, Posey JE, Lupski JR, Repetto GM. Decoding complex inherited phenotypes in rare disorders: the DECIPHERD initiative for rare undiagnosed diseases in Chile. Eur J Hum Genet 2024; 32:1227-1237. [PMID: 38177409 PMCID: PMC11499817 DOI: 10.1038/s41431-023-01523-5] [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: 08/03/2023] [Revised: 10/30/2023] [Accepted: 12/06/2023] [Indexed: 01/06/2024] Open
Abstract
Rare diseases affect millions of people worldwide, and most have a genetic etiology. The incorporation of next-generation sequencing into clinical settings, particularly exome and genome sequencing, has resulted in an unprecedented improvement in diagnosis and discovery in the past decade. Nevertheless, these tools are unavailable in many countries, increasing health care gaps between high- and low-and-middle-income countries and prolonging the "diagnostic odyssey" for patients. To advance genomic diagnoses in a setting of limited genomic resources, we developed DECIPHERD, an undiagnosed diseases program in Chile. DECIPHERD was implemented in two phases: training and local development. The training phase relied on international collaboration with Baylor College of Medicine, and the local development was structured as a hybrid model, where clinical and bioinformatics analysis were performed in-house and sequencing outsourced abroad, due to lack of high-throughput equipment in Chile. We describe the implementation process and findings of the first 103 patients. They had heterogeneous phenotypes, including congenital anomalies, intellectual disabilities and/or immune system dysfunction. Patients underwent clinical exome or research exome sequencing, as solo cases or with parents using a trio design. We identified pathogenic, likely pathogenic or variants of unknown significance in genes related to the patients´ phenotypes in 47 (45.6%) of them. Half were de novo informative variants, and half of the identified variants have not been previously reported in public databases. DECIPHERD ended the diagnostic odyssey for many participants. This hybrid strategy may be useful for settings of similarly limited genomic resources and lead to discoveries in understudied populations.
Collapse
Affiliation(s)
- M Cecilia Poli
- Program for Immunogenetics and Translational Immunology, Institute of Science and Innovation in Medicine, Facultad de Medicina, Clinica Alemana Universidad del Desarrollo, Santiago, Chile
- Hospital Dr. Roberto del Río, Santiago, Chile
| | - Boris Rebolledo-Jaramillo
- Rare Diseases Program, Center for Genetics and Genomics, Institute of Science and Innovation in Medicine, Facultad de Medicina, Clínica Alemana Universidad del Desarrollo, Santiago, Chile
| | - Catalina Lagos
- Rare Diseases Program, Center for Genetics and Genomics, Institute of Science and Innovation in Medicine, Facultad de Medicina, Clínica Alemana Universidad del Desarrollo, Santiago, Chile
| | - Joan Orellana
- Rare Diseases Program, Center for Genetics and Genomics, Institute of Science and Innovation in Medicine, Facultad de Medicina, Clínica Alemana Universidad del Desarrollo, Santiago, Chile
| | - Gabriela Moreno
- Rare Diseases Program, Center for Genetics and Genomics, Institute of Science and Innovation in Medicine, Facultad de Medicina, Clínica Alemana Universidad del Desarrollo, Santiago, Chile
| | - Luz M Martín
- Rare Diseases Program, Center for Genetics and Genomics, Institute of Science and Innovation in Medicine, Facultad de Medicina, Clínica Alemana Universidad del Desarrollo, Santiago, Chile
- Unidad de Gestión Clínica del Niño, Hospital Padre Hurtado, Santiago, Chile
| | | | - Daniela Böhme
- Rare Diseases Program, Center for Genetics and Genomics, Institute of Science and Innovation in Medicine, Facultad de Medicina, Clínica Alemana Universidad del Desarrollo, Santiago, Chile
- Biosoluciones UDD, Santiago, Chile
| | - Víctor Faundes
- Laboratorio de Genética y Enfermedades Metabólicas, Instituto de Nutrición y Tecnología de los Alimentos (INTA), Universidad de Chile, Santiago, Chile
| | | | - Trinidad Hasbún
- Department of Dermatology, Facultad de Medicina Universidad del Desarrollo, Clínica Alemana de Santiago, Vitacura, Chile
- Department of Dermatology, Hospital Exequiel González Cortés, Vitacura, Chile
| | - Sara Fischer
- Rare Diseases Program, Center for Genetics and Genomics, Institute of Science and Innovation in Medicine, Facultad de Medicina, Clínica Alemana Universidad del Desarrollo, Santiago, Chile
| | - Florencia Brito
- Rare Diseases Program, Center for Genetics and Genomics, Institute of Science and Innovation in Medicine, Facultad de Medicina, Clínica Alemana Universidad del Desarrollo, Santiago, Chile
| | - Diego Araya
- Rare Diseases Program, Center for Genetics and Genomics, Institute of Science and Innovation in Medicine, Facultad de Medicina, Clínica Alemana Universidad del Desarrollo, Santiago, Chile
| | - Manuel Lira
- Rare Diseases Program, Center for Genetics and Genomics, Institute of Science and Innovation in Medicine, Facultad de Medicina, Clínica Alemana Universidad del Desarrollo, Santiago, Chile
| | - Javiera de la Cruz
- Program for Immunogenetics and Translational Immunology, Institute of Science and Innovation in Medicine, Facultad de Medicina, Clinica Alemana Universidad del Desarrollo, Santiago, Chile
| | | | - Guillermo Lay-Son
- Division of Pediatrics, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Carolina Cares
- Genetics Unit, Hospital Dr Luis Calvo Mackenna, Santiago, Chile
| | - Mariana Aracena
- Genetics Unit, Hospital Dr Luis Calvo Mackenna, Santiago, Chile
| | | | - Zeynep Coban-Akdemir
- University of Texas Health Science Center at Houston, School of Public Health, Department of Epidemiology, Human Genetics and Environmental Sciences, Santiago, Chile
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Jennifer E Posey
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - James R Lupski
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Gabriela M Repetto
- Rare Diseases Program, Center for Genetics and Genomics, Institute of Science and Innovation in Medicine, Facultad de Medicina, Clínica Alemana Universidad del Desarrollo, Santiago, Chile.
- Unidad de Gestión Clínica del Niño, Hospital Padre Hurtado, Santiago, Chile.
| |
Collapse
|
9
|
Pande S, Majethia P, Nair K, Rao LP, Mascarenhas S, Kaur N, do Rosario MC, Neethukrishna K, Chaurasia A, Hunakunti B, Jadhav N, Xavier S, Kumar J, Bhat V, Bhavani GS, Narayanan DL, Yatheesha BL, Patil SJ, Nampoothiri S, Kamath N, Aroor S, Bhat Y R, Lewis LE, Sharma S, Bajaj S, Sankhyan N, Siddiqui S, Nayak SS, Bielas S, Girisha KM, Shukla A. De novo variants underlying monogenic syndromes with intellectual disability in a neurodevelopmental cohort from India. Eur J Hum Genet 2024; 32:1291-1298. [PMID: 38114583 PMCID: PMC7616498 DOI: 10.1038/s41431-023-01513-7] [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: 06/29/2023] [Revised: 09/21/2023] [Accepted: 11/27/2023] [Indexed: 12/21/2023] Open
Abstract
The contribution of de novo variants as a cause of intellectual disability (ID) is well established in several cohorts reported from the developed world. However, the genetic landscape as well as the appropriate testing strategies for identification of de novo variants of these disorders remain largely unknown in low-and middle-income countries like India. In this study, we delineate the clinical and genotypic spectrum of 54 families (55 individuals) with syndromic ID harboring rare de novo variants. We also emphasize on the effectiveness of singleton exome sequencing as a valuable tool for diagnosing these disorders in resource limited settings. Overall, 46 distinct disorders were identified encompassing 46 genes with 51 single-nucleotide variants and/or indels and two copy-number variants. Pathogenic variants were identified in CREBBP, TSC2, KMT2D, MECP2, IDS, NIPBL, NSD1, RIT1, SOX10, BRWD3, FOXG1, BCL11A, KDM6B, KDM5C, SETD5, QRICH1, DCX, SMARCD1, ASXL1, ASXL3, AKT3, FBN2, TCF12, WASF1, BRAF, SMARCA4, SMARCA2, TUBG1, KMT2A, CTNNB1, DLG4, MEIS2, GATAD2B, FBXW7, ANKRD11, ARID1B, DYNC1H1, HIVEP2, NEXMIF, ZBTB18, SETD1B, DYRK1A, SRCAP, CASK, L1CAM, and KRAS. Twenty-four of these monogenic disorders have not been previously reported in the Indian population. Notably, 39 out of 53 (74%) disease-causing variants are novel. These variants were identified in the genes mainly encoding transcriptional and chromatin regulators, serine threonine kinases, lysosomal enzymes, molecular motors, synaptic proteins, neuronal migration machinery, adhesion molecules, structural proteins and signaling molecules.
Collapse
Affiliation(s)
- Shruti Pande
- Department of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Purvi Majethia
- Department of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Karthik Nair
- Department of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Lakshmi Priya Rao
- Department of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Selinda Mascarenhas
- Department of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Namanpreet Kaur
- Department of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Michelle C do Rosario
- Department of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Kausthubham Neethukrishna
- Department of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Ankur Chaurasia
- Department of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
- Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PL, United Kingdom
| | - Bhagesh Hunakunti
- Department of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Nalesh Jadhav
- Department of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Sruthy Xavier
- Department of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Jeevan Kumar
- Department of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Vivekananda Bhat
- Department of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Gandham SriLakshmi Bhavani
- Department of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Dhanya Lakshmi Narayanan
- Department of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - B L Yatheesha
- Dheemahi Child Neurology and Development Center, Shivamogga, India
| | - Siddaramappa J Patil
- Division of Medical Genetics, Mazumdar Shaw Medical Center, Narayana Hrudayalaya Hospitals, Bangalore, India
| | - Sheela Nampoothiri
- Department of Pediatric Genetics, Amrita Institute of Medical Sciences & Research Centre, Cochin, India
| | - Nutan Kamath
- Department of Paediatrics, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, India
| | - Shrikiran Aroor
- Department of Paediatrics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Ramesh Bhat Y
- Department of Paediatrics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Leslie E Lewis
- Department of Paediatrics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Suvasini Sharma
- Neurology Division, Department of Pediatrics, Lady Hardinge Medical College and Associated Kalawati Saran Children's Hospital, New Delhi, India
| | | | - Naveen Sankhyan
- Pediatric Neurology Unit, Department of Pediatrics, Advanced Pediatrics Centre, Postgraduate Institute of Medical Education & Research, Chandigarh, India
| | - Shahyan Siddiqui
- Department of Neuro and Vascular Interventional Radiology, Yashoda Hospitals, Secunderabad, Hyderabad, India
| | - Shalini S Nayak
- Department of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Stephanie Bielas
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, United States of America
| | - Katta Mohan Girisha
- Department of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
- Suma Genomics Private Limited, Manipal Center for Biotherapeutics Research, Manipal Academy of Higher Education, Manipal, India
- Department of Genetics, College of Medicine & Health Sciences, Sultan Qaboos University, Muscat, Oman
| | - Anju Shukla
- Department of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India.
| |
Collapse
|
10
|
Yang M, Kim JA, Jo HS, Park JH, Ahn SY, Sung SI, Park WS, Cho HW, Kim JM, Park MH, Park HY, Jang JH, Chang YS. Diagnostic Utility of Whole Genome Sequencing After Negative Karyotyping/Chromosomal Microarray in Infants Born With Multiple Congenital Anomalies. J Korean Med Sci 2024; 39:e250. [PMID: 39315442 PMCID: PMC11419962 DOI: 10.3346/jkms.2024.39.e250] [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: 03/27/2024] [Accepted: 07/14/2024] [Indexed: 09/25/2024] Open
Abstract
BACKGROUND Achieving a definitive genetic diagnosis of unexplained multiple congenital anomalies (MCAs) in neonatal intensive care units (NICUs) infants is challenging because of the limited diagnostic capabilities of conventional genetic tests. Although the implementation of whole genome sequencing (WGS) has commenced for diagnosing MCAs, due to constraints in resources and faculty, many NICUs continue to utilize chromosomal microarray (CMA) and/or karyotyping as the initial diagnostic approach. We aimed to evaluate the diagnostic efficacy of WGS in infants with MCAs who have received negative results from karyotyping and/or CMA. METHODS In this prospective study, we enrolled 80 infants with MCAs who were admitted to a NICU at a single center and had received negative results from CMA and/or karyotyping. The phenotypic characteristics were classified according to the International Classification of Diseases and the Human Phenotype Ontology. We assessed the diagnostic yield of trio-WGS in infants with normal chromosomal result and explored the process of diagnosing by analyzing both phenotype and genotype. Also, we compared the phenotype and clinical outcomes between the groups diagnosed with WGS and the undiagnosed group. RESULTS The diagnostic yield of WGS was 26% (21/80), of which 76% were novel variants. There was a higher diagnostic yield in cases of craniofacial abnormalities, including those of the eye and ear, and a lower diagnostic yield in cases of gastrointestinal and genitourinary abnormalities. In addition, higher rates of rehabilitation therapy and gastrostomy were observed in WGS-diagnosed infants than in undiagnosed infants. CONCLUSION This prospective cohort study assessed the usefulness of trio-WGS following chromosomal analysis for diagnosing MCAs in the NICU and revealed improvements in the diagnostic yield and clinical utility of WGS.
Collapse
Affiliation(s)
- Misun Yang
- Department of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Cell and Gene Therapy Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jee Ah Kim
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Department of Laboratory Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Heui Seung Jo
- Department of Pediatrics, Kangwon National University Hospital, Kangwon National University School of Medicine, Chuncheon, Korea
| | - Jong-Ho Park
- Clinical Genomics Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - So Yoon Ahn
- Department of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Cell and Gene Therapy Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Se In Sung
- Department of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Cell and Gene Therapy Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Won Soon Park
- Department of Pediatrics, CHA Gangnam Medical Center, CHA University, Seoul, Korea
| | - Hye-Won Cho
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju, Korea
| | - Jeong-Min Kim
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju, Korea
| | - Mi-Hyun Park
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju, Korea
| | | | - Ja-Hyun Jang
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
| | - Yun Sil Chang
- Department of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Cell and Gene Therapy Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Korea.
| |
Collapse
|
11
|
Weymann D, Buckell J, Fahr P, Loewen R, Ehman M, Pollard S, Friedman JM, Stockler-Ipsiroglu S, Elliott AM, Wordsworth S, Buchanan J, Regier DA. Health Care Costs After Genome-Wide Sequencing for Children With Rare Diseases in England and Canada. JAMA Netw Open 2024; 7:e2420842. [PMID: 38985473 PMCID: PMC11238031 DOI: 10.1001/jamanetworkopen.2024.20842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Accepted: 05/07/2024] [Indexed: 07/11/2024] Open
Abstract
Importance Etiologic diagnoses for rare diseases can involve a diagnostic odyssey, with repeated health care interactions and inconclusive diagnostics. Prior studies reported cost savings associated with genome-wide sequencing (GWS) compared with cytogenetic or molecular testing through rapid genetic diagnosis, but there is limited evidence on whether diagnosis from GWS is associated with reduced health care costs. Objective To measure changes in health care costs after diagnosis from GWS for Canadian and English children with suspected rare diseases. Design, Setting, and Participants This cohort study was a quasiexperimental retrospective analysis across 3 distinct English and Canadian cohorts, completed in 2023. Mixed-effects generalized linear regression was used to estimate associations between GWS and costs in the 2 years before and after GWS. Difference-in-differences regression was used to estimate associations of genetic diagnosis and costs. Costs are in 2019 US dollars. GWS was conducted in a research setting (Genomics England 100 000 Genomes Project [100KGP] and Clinical Assessment of the Utility of Sequencing and Evaluation as a Service [CAUSES] Research Clinic) or clinical outpatient setting (publicly reimbursed GWS in British Columbia [BC], Canada). Participants were children with developmental disorders, seizure disorders, or both undergoing GWS between 2014 and 2019. Data were analyzed from April 2021 to September 2023. Exposures GWS and genetic diagnosis. Main Outcomes and Measures Annual health care costs and diagnostic costs per child. Results Study cohorts included 7775 patients in 100KGP, among whom 788 children had epilepsy (mean [SD] age at GWS, 11.6 [11.1] years; 400 female [50.8%]) and 6987 children had an intellectual disability (mean [SD] age at GWS, 8.2 [8.4] years; 2750 female [39.4%]); 77 patients in CAUSES (mean [SD] age at GWS, 8.5 [4.4] years; 33 female [42.9%]); and 118 publicly reimbursed GWS recipients from BC (mean [SD] age at GWS, 5.5 [5.2] years; 58 female [49.2%]). GWS diagnostic yield was 143 children (18.1%) for those with epilepsy and 1323 children (18.9%) for those with an intellectual disability in 100KGP, 47 children (39.8%) in the BC publicly reimbursed setting, and 42 children (54.5%) in CAUSES. Mean annual per-patient spending over the study period was $5283 (95% CI, $5121-$5427) for epilepsy and $3373 (95% CI, $3322-$3424) for intellectual disability in the 100KGP, $724 (95% CI, $563-$886) in CAUSES, and $1573 (95% CI, $1372-$1773) in the BC reimbursed setting. Receiving a genetic diagnosis from GWS was not associated with changed costs in any cohort. Conclusions and Relevance In this study, receiving a genetic diagnosis was not associated with cost savings. This finding suggests that patient benefit and cost-effectiveness should instead drive GWS implementation.
Collapse
Affiliation(s)
- Deirdre Weymann
- Cancer Control Research, BC Cancer Research Institute, Vancouver, British Columbia, Canada
- Faculty of Health Sciences, Simon Fraser University, Burnaby, British Columbia, Canada
| | - John Buckell
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
- Nuffield Department of Primary Health Care Sciences, University of Oxford, Oxford, United Kingdom
- National Institute for Health Research Biomedical Research Centre, Oxford, United Kingdom
| | - Patrick Fahr
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Rosalie Loewen
- Cancer Control Research, BC Cancer Research Institute, Vancouver, British Columbia, Canada
| | - Morgan Ehman
- Cancer Control Research, BC Cancer Research Institute, Vancouver, British Columbia, Canada
| | - Samantha Pollard
- Cancer Control Research, BC Cancer Research Institute, Vancouver, British Columbia, Canada
| | - Jan M. Friedman
- Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada
- BC Children’s Hospital Research Institute, Vancouver, British Columbia, Canada
| | - Sylvia Stockler-Ipsiroglu
- BC Children’s Hospital Research Institute, Vancouver, British Columbia, Canada
- Department of Pediatrics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
- Division of Biochemical Genetics, BC Children’s Hospital, Vancouver, British Columbia, Canada
| | - Alison M. Elliott
- Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada
- BC Children’s Hospital Research Institute, Vancouver, British Columbia, Canada
| | - Sarah Wordsworth
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
- National Institute for Health Research Biomedical Research Centre, Oxford, United Kingdom
| | - James Buchanan
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
- National Institute for Health Research Biomedical Research Centre, Oxford, United Kingdom
| | - Dean A. Regier
- Cancer Control Research, BC Cancer Research Institute, Vancouver, British Columbia, Canada
- School of Population and Public Health, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| |
Collapse
|
12
|
Khalaf T, Al Ojaimi M, Saleh DA, Sulaiman A, Sohal AP, Khan A, El-Hattab AW. The utility of exome sequencing in diagnosing pediatric neurodevelopmental disorders in a highly consanguineous population. Clin Genet 2024; 106:82-89. [PMID: 38438125 DOI: 10.1111/cge.14508] [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: 11/03/2023] [Revised: 02/07/2024] [Accepted: 02/08/2024] [Indexed: 03/06/2024]
Abstract
Exome sequencing (ES) has been utilized in diagnosing children with neurodevelopmental manifestations, this study aimed to investigate the utility of ES in children within a highly consanguineous population that presented with neurodevelopmental complaints. A retrospective chart review was performed for 405 children with neurodevelopmental complaints who have had ES and were evaluated in multiple centers in the United Arab Emirates over a four-year period. Within the cohort of 405 children, consanguinity was reported in 35% (144/405). The primary clinical presentations were developmental delay/cognitive impairment, distinctive facial features, hypotonia, seizures, and weakness. The diagnostic yield was 57% (231/405). Novel variants were identified in 54% (125/231) of positive cases. Within the positive cases, specific treatment was available in 6% (13/231) and copy number variants (CNV) were reported in 3% (8/231) of cases. In eight children, variants in genes that have not yet been linked to human disease that could potentially be the cause of the observed phenotype "candidate genes" were identified. ES was utilized effectively within this cohort with a high diagnostic yield and through the identification of novel gene variants, CNVs, candidate genes and secondary findings as well as the alteration of the treatment plan in cases where treatment was available.
Collapse
Affiliation(s)
- Tamam Khalaf
- Genetic Counseling Division, Igenomix, Dubai, UAE
| | - Mode Al Ojaimi
- Department of Clinical Sciences, College of Medicine, University of Sharjah, Sharjah, UAE
- Department of Pediatrics, University Hospital Sharjah, Sharjah, UAE
| | - Dina Amin Saleh
- Pediatric Neurology Division, American Center for Psychiatry and Neurology, Abu Dhabi, UAE
- Department of Pediatrics, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Alena Sulaiman
- Pediatric Division, KidsHeart Medical Center, Abu Dhabi, UAE
| | - Aman P Sohal
- Pediatric Neurology Division, Neuropedia Children's Neuroscience Center, Dubai, UAE
- Pediatric Neurology Division, Al Qassimi Women and Children's Hospital, Sharjah, UAE
| | - Arif Khan
- Pediatric Neurology Division, Neuropedia Children's Neuroscience Center, Dubai, UAE
- Pediatric Division, Kings College Hospital London, Dubai, UAE
- Pediatric Neurology Division, Kids Neuro Clinic and Rehab Center, Dubai, UAE
| | - Ayman W El-Hattab
- Department of Clinical Sciences, College of Medicine, University of Sharjah, Sharjah, UAE
- Department of Pediatrics, University Hospital Sharjah, Sharjah, UAE
| |
Collapse
|
13
|
Zhang J, Xu Y, Liu Y, Yue L, Jin H, Chen Y, Wang D, Wang M, Chen G, Yang L, Zhang G, Zhang X, Li S, Zhao H, Zhao Y, Niu G, Gao Y, Cai Z, Yang F, Zhu C, Zhu D. Genetic Testing for Global Developmental Delay in Early Childhood. JAMA Netw Open 2024; 7:e2415084. [PMID: 38837156 PMCID: PMC11154162 DOI: 10.1001/jamanetworkopen.2024.15084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2024] [Accepted: 04/03/2024] [Indexed: 06/06/2024] Open
Abstract
Importance Global developmental delay (GDD) is characterized by a complex etiology, diverse phenotypes, and high individual heterogeneity, presenting challenges for early clinical etiologic diagnosis. Cognitive impairment is the core symptom, and despite the pivotal role of genetic factors in GDD development, the understanding of them remains limited. Objectives To assess the utility of genetic detection in patients with GDD and to examine the potential molecular pathogenesis of GDD to identify targets for early intervention. Design, Setting, and Participants This multicenter, prospective cohort study enrolled patients aged 12 to 60 months with GDD from 6 centers in China from July 4, 2020, to August 31, 2023. Participants underwent trio whole exome sequencing (trio-WES) coupled with copy number variation sequencing (CNV-seq). Bioinformatics analysis was used to unravel pathogenesis and identify therapeutic targets. Main Outcomes and Measures The main outcomes of this study involved enhancing the rate of positive genetic diagnosis for GDD, broadening the scope of genetic testing indications, and investigating the underlying pathogenesis. The classification of children into levels of cognitive impairment was based on the developmental quotient assessed using the Gesell scale. Results The study encompassed 434 patients with GDD (262 [60%] male; mean [SD] age, 25.75 [13.24] months) with diverse degrees of cognitive impairment: mild (98 [23%]), moderate (141 [32%]), severe (122 [28%]), and profound (73 [17%]). The combined use of trio-WES and CNV-seq resulted in a 61% positive detection rate. Craniofacial abnormalities (odds ratio [OR], 2.27; 95% CI, 1.45-3.56), moderate or severe cognitive impairment (OR, 1.69; 95% CI, 1.05-2.70), and age between 12 and 24 months (OR, 1.57; 95% CI, 1.05-2.35) were associated with a higher risk of carrying genetic variants. Additionally, bioinformatics analysis suggested that genetic variants may induce alterations in brain development and function, which may give rise to cognitive impairment. Moreover, an association was found between the dopaminergic pathway and cognitive impairment. Conclusions and Relevance In this cohort study of patients with GDD, combining trio-WES with CNV-seq was a demonstrable, instrumental strategy for advancing the diagnosis of GDD. The close association among genetic variations, brain development, and clinical phenotypes contributed valuable insights into the pathogenesis of GDD. Notably, the dopaminergic pathway emerged as a promising focal point for potential targets in future precision medical interventions for GDD.
Collapse
Affiliation(s)
- Jiamei Zhang
- Department of Rehabilitation Medicine, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yiran Xu
- Henan Key Laboratory of Child Brain Injury and Henan Pediatric Clinical Research Center, Institute of Neuroscience and Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yun Liu
- Kunming Children’s Hospital, Kunming, China
| | - Ling Yue
- Department of Neurological Rehabilitation, Children’s Hospital of Hebei Province, Shijiazhuang, China
| | - Hongfang Jin
- Qinghai Provincial Women and Children’s Hospital, Xining, China
| | | | - Dong Wang
- Department of Pediatric Neurology, Xi’an Children’s Hospital, Xi’an, China
| | - Mingmei Wang
- Department of Rehabilitation Medicine, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Gongxun Chen
- Department of Rehabilitation Medicine, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Lei Yang
- Department of Rehabilitation Medicine, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Guangyu Zhang
- Department of Rehabilitation Medicine, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xiaoli Zhang
- Department of Pediatric Neurology, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Sansong Li
- Department of Rehabilitation Medicine, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Huiling Zhao
- Department of Rehabilitation Medicine, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yunxia Zhao
- Department of Rehabilitation Medicine, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Guohui Niu
- Department of Rehabilitation Medicine, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yongqiang Gao
- Department of Rehabilitation Medicine, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zhijun Cai
- Department of Rehabilitation Medicine, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | | | - Changlian Zhu
- Henan Key Laboratory of Child Brain Injury and Henan Pediatric Clinical Research Center, Institute of Neuroscience and Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Center for Brain Repair and Rehabilitation, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
| | - Dengna Zhu
- Department of Rehabilitation Medicine, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Key Laboratory of Child Brain Injury and Henan Pediatric Clinical Research Center, Institute of Neuroscience and Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| |
Collapse
|
14
|
Regier DA, Loewen R, Chan B, Ehman M, Pollard S, Friedman JM, Stockler-Ipsiroglu S, van Karnebeek C, Race S, Elliott AM, Dragojlovic N, Lynd LD, Weymann D. Real-world diagnostic outcomes and cost-effectiveness of genome-wide sequencing for developmental and seizure disorders: Evidence from Canada. Genet Med 2024; 26:101069. [PMID: 38205742 DOI: 10.1016/j.gim.2024.101069] [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: 07/21/2023] [Revised: 01/03/2024] [Accepted: 01/04/2024] [Indexed: 01/12/2024] Open
Abstract
PURPOSE To determine real-world diagnostic rates, cost trajectories, and cost-effectiveness of exome sequencing (ES) and genome sequencing (GS) for children with developmental and/or seizure disorders in British Columbia, Canada. METHODS Based on medical records review, we estimated real-world costs and outcomes for 491 patients who underwent standard of care (SOC) diagnostic testing at British Columbia Children's Hospital. Results informed a state-transition Markov model examining cost-effectiveness of 3 competing diagnostic strategies: (1) SOC with last-tier access to ES, (2) streamlined ES access, and (3) first-tier GS. RESULTS Through SOC, 49.4% (95% CI: 40.6, 58.2) of patients were diagnosed at an average cost of C$11,683 per patient (95% CI: 9200, 14,166). Compared with SOC, earlier ES or GS access yielded similar or improved diagnostic rates and shorter times to genetic diagnosis, with 94% of simulations demonstrating cost savings for streamlined ES and 60% for first-tier GS. Net benefit from the perspective of the health care system was C$2956 (95% CI: -608, 6519) for streamlined ES compared with SOC. CONCLUSION Using real-world data, we found earlier access to ES may yield more rapid genetic diagnosis of childhood developmental and seizure disorders and cost savings compared with current practice in a Canadian health care system.
Collapse
Affiliation(s)
- Dean A Regier
- School of Population and Public Health, Faculty of Medicine, University of British Columbia, Vancouver, Canada; Cancer Control Research, BC Cancer Research Institute, Vancouver, Canada
| | - Rosalie Loewen
- Cancer Control Research, BC Cancer Research Institute, Vancouver, Canada
| | - Brandon Chan
- Cancer Control Research, BC Cancer Research Institute, Vancouver, Canada
| | - Morgan Ehman
- Cancer Control Research, BC Cancer Research Institute, Vancouver, Canada
| | - Samantha Pollard
- Cancer Control Research, BC Cancer Research Institute, Vancouver, Canada
| | - Jan M Friedman
- Department of Medical Genetics, University of British Columbia, Vancouver, Canada; BC Children's Hospital Research Institute, Vancouver, Canada
| | - Sylvia Stockler-Ipsiroglu
- BC Children's Hospital Research Institute, Vancouver, Canada; Department of Pediatrics, Faculty of Medicine, University of British Columbia, Vancouver, Canada; Division of Biochemical Genetics, BC Children's Hospital, Vancouver, Canada
| | - Clara van Karnebeek
- Department of Pediatrics, Faculty of Medicine, University of British Columbia, Vancouver, Canada; Departments of Pediatrics and Human Genetics, Emma Center for Personalized Medicine, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Simone Race
- Division of Biochemical Genetics, BC Children's Hospital, Vancouver, Canada
| | - Alison M Elliott
- Department of Medical Genetics, University of British Columbia, Vancouver, Canada; BC Children's Hospital Research Institute, Vancouver, Canada
| | - Nick Dragojlovic
- Collaboration for Outcomes Research and Evaluation, Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, Canada
| | - Larry D Lynd
- Collaboration for Outcomes Research and Evaluation, Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, Canada; Centre for Health Evaluation and Outcomes Sciences, Providence Health Research Institute, Vancouver, Canada
| | - Deirdre Weymann
- Cancer Control Research, BC Cancer Research Institute, Vancouver, Canada.
| |
Collapse
|
15
|
Wigby KM, Brockman D, Costain G, Hale C, Taylor SL, Belmont J, Bick D, Dimmock D, Fernbach S, Greally J, Jobanputra V, Kulkarni S, Spiteri E, Taft RJ. Evidence review and considerations for use of first line genome sequencing to diagnose rare genetic disorders. NPJ Genom Med 2024; 9:15. [PMID: 38409289 PMCID: PMC10897481 DOI: 10.1038/s41525-024-00396-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: 06/11/2023] [Accepted: 01/26/2024] [Indexed: 02/28/2024] Open
Abstract
Early use of genome sequencing (GS) in the diagnostic odyssey can reduce suffering and improve care, but questions remain about which patient populations are most amenable to GS as a first-line diagnostic test. To address this, the Medical Genome Initiative conducted a literature review to identify appropriate clinical indications for GS. Studies published from January 2011 to August 2022 that reported on the diagnostic yield (DY) or clinical utility of GS were included. An exploratory meta-analysis using a random effects model evaluated DY based on cohort size and diagnosed cases per cohort. Seventy-one studies met inclusion criteria, comprising over 13,000 patients who received GS in one of the following settings: hospitalized pediatric patients, pediatric outpatients, adult outpatients, or mixed. GS was the first-line test in 38% (27/71). The unweighted mean DY of first-line GS was 45% (12-73%), 33% (6-86%) in cohorts with prior genetic testing, and 33% (9-60%) in exome-negative cohorts. Clinical utility was reported in 81% of first-line GS studies in hospitalized pediatric patients. Changes in management varied by cohort and underlying molecular diagnosis (24-100%). To develop evidence-informed points to consider, the quality of all 71 studies was assessed using modified American College of Radiology (ACR) criteria, with five core points to consider developed, including recommendations for use of GS in the N/PICU, in lieu of sequential testing and when disorders with substantial allelic heterogeneity are suspected. Future large and controlled studies in the pediatric and adult populations may support further refinement of these recommendations.
Collapse
Affiliation(s)
- Kristen M Wigby
- University of California, Davis, CA, USA.
- Rady Children's Institute for Genomic Medicine, San Diego, CA, USA.
| | | | | | | | | | - John Belmont
- Genetics & Genomics Services Inc, Houston, TX, USA
| | | | - David Dimmock
- Rady Children's Institute for Genomic Medicine, San Diego, CA, USA
| | | | - John Greally
- Albert Einstein College of Medicine, Bronx, NY, USA
| | | | | | | | | |
Collapse
|
16
|
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.
Collapse
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.
| |
Collapse
|
17
|
Shin S, Lee J, Kim YG, Ha C, Park JH, Kim JW, Lee J, Jang JH. Genetic Diagnosis of Children With Neurodevelopmental Disorders Using Whole Genome Sequencing. Pediatr Neurol 2023; 149:44-52. [PMID: 37776660 DOI: 10.1016/j.pediatrneurol.2023.09.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 06/05/2023] [Accepted: 09/05/2023] [Indexed: 10/02/2023]
Abstract
BACKGROUND Neurodevelopmental disorders (NDDs) have diverse phenotypes. Their genetic diagnoses are often challenged by difficulties of targeting causative genes due to heterogeneous genetic etiologies. The objective of this study was to perform genetic diagnosis of children with NDDs using whole genome sequencing. METHODS This study included 78 pediatric patients with NDDs and their 152 family members for whole genome sequencing (WGS). All cases except one were families with at least two members. Seventy-five patients had previously undergone other genetic tests besides WGS. Detected variants were classified according to the guidelines of the American College of Medical Genetics and Genomics. RESULTS Among 78 probands, 26 patients were genetically diagnosed with NDDs through WGS, showing a diagnostic rate of 33.3%. Of them, 22 cases had de novo variants (DNVs) identified through trio analysis. Of these DNVs, half were novel variants. Three structural variants, including a multiexon deletion, a contiguous gene deletion involving 13 Mb, and a retrotransposon insertion, were revealed by WGS. All cases except one had defects in different genes, consistent with the phenotypically diverse nature of NDDs. In addition, three patients were inconclusive, two of them had one likely pathogenic variant in a gene associated with autosomal recessive disease and the other one had no clinical phenotypes associated with the detected DNV. CONCLUSIONS Our experience demonstrates the advantage of WGS in the diagnosis of NDDs, including detection of copy number variations and also the advantage of trio sequencing for interpretation of DNVs.
Collapse
Affiliation(s)
- Sunghwan Shin
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea; Department of Laboratory Medicine, Inje University Ilsan Paik Hospital, Goyang, Korea
| | - Jiwon Lee
- Department of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Young-Gon Kim
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Changhee Ha
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jong-Ho Park
- Clinical Genomics Center, Samsung Medical Center, Seoul, Korea
| | - Jong-Won Kim
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jeehun Lee
- Department of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Ja-Hyun Jang
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
| |
Collapse
|
18
|
Cole JJ, Sellitto AD, Baratta LR, Huecker JB, Balls-Berry JE, Gurnett CA. Social Determinants of Genetics Referral and Completion Rates Among Child Neurology Patients. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.09.12.23295450. [PMID: 37745339 PMCID: PMC10516043 DOI: 10.1101/2023.09.12.23295450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
Objective To investigate clinical, social, and systems-level determinants predictive of genetics clinic referral and completion of genetics clinic visits among child neurology patients. Methods Electronic health record data were extracted from patients 0-18 years old who were evaluated in child neurology clinics at a single tertiary care institution between July 2018 to January 2020. Variables aligned with the Health Equity Implementation Framework. Referral and referral completion rates to genetics and cardiology clinics were compared among Black vs White patients using bivariate analysis. Demographic variables associated with genetics clinic referral and visit completion were identified using logistic regressions. Results In a cohort of 11,371 child neurology patients, 304 genetics clinic referrals and 82 cardiology clinic referrals were placed. In multivariate analysis of patients with Black or White ethnoracial identity (n=10,601), genetics clinic referral rates did not differ by race, but were significantly associated with younger age, rural address, neurodevelopmental disorder diagnosis, number of neurology clinic visits, and provider type. The only predictors of genetics clinic visit completion number of neurology clinic visits and race/ethnicity, with White patients being twice as likely as Black patients to complete the visit. Cardiology clinic referrals and visit completion did not differ by race/ethnicity. Interpretation Although race/ethnicity was not associated with differences in genetics clinic referral rates, White patients were twice as likely as Black patients to complete a genetics clinic visit after referral. Further work is needed to determine whether this is due to systemic/structural racism, differences in attitudes toward genetic testing, or other factors.
Collapse
Affiliation(s)
- Jordan J Cole
- Washington University in St. Louis, Department of Neurology
- University of Colorado, Department of Pediatrics
| | | | | | - Julia B Huecker
- Washington University in St. Louis, Center for Biostatistics & Data Science
| | | | | |
Collapse
|
19
|
Malherbe HL, Modell B, Blencowe H, Strong KL, Aldous C. A review of key terminology and definitions used for birth defects globally. J Community Genet 2023; 14:241-262. [PMID: 37093545 PMCID: PMC10272040 DOI: 10.1007/s12687-023-00642-2] [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: 12/14/2022] [Accepted: 03/08/2023] [Indexed: 04/25/2023] Open
Abstract
Birth defects, also known as congenital disorders, are a significant health issue impacting at least five million births annually worldwide. For policymakers to mount a relevant healthcare response to care for those affected, the burden of disease of these conditions must be quantified. Estimates of the contribution of birth defects to under-5 child mortality and morbidity are generated by several groups globally. These estimates often differ, causing confusion for policymakers. While some differences may be attributed to the data sources and methods used, much is due to a lack of clarity in the terminology used for the group of disorders classed as "congenital". This study aimed to gain insight into the diversity of terms and definitions for birth defects, including those used routinely by relevant international/national organisations and in the peer-reviewed literature. This two-part study included (1) scoping review of peer-reviewed literature to identify terms and definitions in use for birth defects and (2) review of key websites and grey literature to identify terms and definitions used. The results of this study indicate a wide variety of terms being used, often interchangeably and undefined, in peer-reviewed publications, on institutional websites and related literature. This suggests a lack of clarity related to terminology and sets the scene for further discussion, recommending that the community of practice working on birth defects comes to a consensus on standard terminology and definitions for global uptake and implementation. Such standardisation will facilitate a common understanding of the burden of these disorders globally, regionally and within countries so that action can be taken to support affected children and their families.
Collapse
Affiliation(s)
- H L Malherbe
- Centre for Human Metabolomics, North-West University, North-West Province, Potchefstroom, South Africa.
- Rare Diseases South Africa NPC, The Station, 63 Peter Place, Bryanston, Johannesburg, 2021, Gauteng, South Africa.
| | - B Modell
- University College London, London, UK
| | - H Blencowe
- Centre for Maternal, Adolescent, Reproductive and Child Health, London School of Hygiene and Tropical Medicine, London, UK
| | - K L Strong
- Department of Maternal, Newborn, Child and Adolescent Health and Aging, Health, World Health Organization, Geneva, Switzerland
| | - C Aldous
- School of Clinical Medicine, University of Kwa-Zulu Natal, Durban, South Africa
| |
Collapse
|
20
|
Zion TN, Berrios CD, Cohen ASA, Bartik L, Cross LA, Engleman KL, Fleming EA, Gadea RN, Hughes SS, Jenkins JL, Kussmann J, Lawson C, Schwager C, Strenk ME, Welsh H, Rush ET, Amudhavalli SM, Sullivan BR, Zhou D, Gannon JL, Heese BA, Moore R, Boillat E, Biswell RL, Louiselle DA, Puckett LMB, Beyer S, Neal SH, Sierant V, McBeth M, Belden B, Walter AM, Gibson M, Cheung WA, Johnston JJ, Thiffault I, Farrow EG, Grundberg E, Pastinen T. Insurance denials and diagnostic rates in a pediatric genomic research cohort. Genet Med 2023; 25:100020. [PMID: 36718845 PMCID: PMC10584034 DOI: 10.1016/j.gim.2023.100020] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 01/12/2023] [Accepted: 01/12/2023] [Indexed: 01/29/2023] Open
Abstract
PURPOSE This study aimed to assess the amount and types of clinical genetic testing denied by insurance and the rate of diagnostic and candidate genetic findings identified through research in patients who faced insurance denials. METHODS Analysis consisted of review of insurance denials in 801 patients enrolled in a pediatric genomic research repository with either no previous genetic testing or previous negative genetic testing result identified through cross-referencing with insurance prior-authorizations in patient medical records. Patients and denials were also categorized by type of insurance coverage. Diagnostic findings and candidate genetic findings in these groups were determined through review of our internal variant database and patient charts. RESULTS Of the 801 patients analyzed, 147 had insurance prior-authorization denials on record (18.3%). Exome sequencing and microarray were the most frequently denied genetic tests. Private insurance was significantly more likely to deny testing than public insurance (odds ratio = 2.03 [95% CI = 1.38-2.99] P = .0003). Of the 147 patients with insurance denials, 53.7% had at least 1 diagnostic or candidate finding and 10.9% specifically had a clinically diagnostic finding. Fifty percent of patients with clinically diagnostic results had immediate medical management changes (5.4% of all patients experiencing denials). CONCLUSION Many patients face a major barrier to genetic testing in the form of lack of insurance coverage. A number of these patients have clinically diagnostic findings with medical management implications that would not have been identified without access to research testing. These findings support re-evaluation of insurance carriers' coverage policies.
Collapse
Affiliation(s)
- Tricia N Zion
- Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO; Division of Clinical Genetics, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO.
| | - Courtney D Berrios
- Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO
| | - Ana S A Cohen
- Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO
| | - Lauren Bartik
- Division of Clinical Genetics, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; University of Kansas Medical Center, School of Professional Health Sciences, Kansas City, MO
| | - Laura A Cross
- Division of Clinical Genetics, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO
| | - Kendra L Engleman
- Division of Clinical Genetics, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO
| | - Emily A Fleming
- Division of Clinical Genetics, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO
| | - Randi N Gadea
- Division of Clinical Genetics, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO
| | - Susan S Hughes
- Division of Clinical Genetics, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO
| | - Janda L Jenkins
- Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO; Division of Clinical Genetics, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO
| | - Jennifer Kussmann
- Division of Clinical Genetics, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO
| | - Caitlin Lawson
- Division of Clinical Genetics, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO
| | - Caitlin Schwager
- Division of Clinical Genetics, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO
| | - Meghan E Strenk
- Division of Clinical Genetics, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO
| | - Holly Welsh
- Division of Clinical Genetics, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO
| | - Eric T Rush
- Division of Clinical Genetics, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; Department of Internal Medicine, University of Kansas Medical Center, Kansas City, MO
| | - Shivarajan M Amudhavalli
- Division of Clinical Genetics, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO
| | - Bonnie R Sullivan
- Division of Clinical Genetics, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO
| | - Dihong Zhou
- Division of Clinical Genetics, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO
| | - Jennifer L Gannon
- Division of Clinical Genetics, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO
| | - Bryce A Heese
- Division of Clinical Genetics, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO
| | - Riley Moore
- Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO
| | - Emelia Boillat
- Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO
| | - Rebecca L Biswell
- Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO
| | - Daniel A Louiselle
- Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO
| | - Laura M B Puckett
- Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO
| | - Shanna Beyer
- Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO
| | - Shelby H Neal
- Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO
| | - Victoria Sierant
- Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO
| | - Macy McBeth
- Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO
| | - Bradley Belden
- Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO
| | - Adam M Walter
- Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO
| | - Margaret Gibson
- Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO
| | - Warren A Cheung
- Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO
| | - Jeffrey J Johnston
- Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO
| | - Isabelle Thiffault
- Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO
| | - Emily G Farrow
- Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO
| | - Elin Grundberg
- Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO
| | - Tomi Pastinen
- Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO
| |
Collapse
|
21
|
Vockley J, Defay T, Goldenberg AJ, Gaviglio AM. Scaling genetic resources: New paradigms for diagnosis and treatment of rare genetic disease. AMERICAN JOURNAL OF MEDICAL GENETICS. PART C, SEMINARS IN MEDICAL GENETICS 2023; 193:77-86. [PMID: 36448938 PMCID: PMC10038858 DOI: 10.1002/ajmg.c.32016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 10/25/2022] [Accepted: 11/15/2022] [Indexed: 12/05/2022]
Abstract
Development of genetic tests for rare genetic diseases has traditionally focused on individual diseases. Similarly, development of new therapies occurred one disease at a time. With >10,000 rare genetic diseases, this approach is not feasible. Diagnosis of genetic disorders has already transcended old paradigms as whole exome and genome sequencing have allowed expedient interrogation of all relevant genes in a single test. The growth of newborn screening has allowed identification of diseases in presymptomatic babies. Similarly, the ability to develop therapies is rapidly expanding due to technologies that leverage platform technology that address multiple diseases. However, movement from the basic science laboratory to clinical trials is still hampered by a regulatory system rooted in traditional trial design, requiring a fresh assessment of safe ways to obtain approval for new drugs. Ultimately, the number of nucleic acid-based therapies will challenge the ability of clinics focused on rare diseases to deliver them safely with appropriate evaluation and long-term follow-up. This manuscript summarizes discussions arising from a recent National Institutes of Health conference on nucleic acid therapy, with a focus on scaling technologies for diagnosis of rare disorders and provision of therapies across the age and disease spectrum.
Collapse
Affiliation(s)
- Jerry Vockley
- University of Pittsburgh Schools of Medicine and Public Health, Pittsburgh, Pennsylvania, USA
| | - Thomas Defay
- Alexion AstraZeneca Rare Diseases, Boston, Massachusetts, USA
| | - Aaron J Goldenberg
- Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
| | | |
Collapse
|
22
|
Vockley J, Aartsma-Rus A, Cohen JL, Cowsert LM, Howell RR, Yu TW, Wasserstein MP, Defay T. Whole-genome sequencing holds the key to the success of gene-targeted therapies. AMERICAN JOURNAL OF MEDICAL GENETICS. PART C, SEMINARS IN MEDICAL GENETICS 2023; 193:19-29. [PMID: 36453229 DOI: 10.1002/ajmg.c.32017] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 10/12/2022] [Accepted: 11/15/2022] [Indexed: 12/02/2022]
Abstract
Rare genetic disorders affect as many as 3%-5% of all babies born. Approximately 10,000 such disorders have been identified or hypothesized to exist. Treatment is supportive except in a limited number of instances where specific therapies exist. Development of new therapies has been hampered by at least two major factors: difficulty in diagnosing diseases early enough to enable treatment before irreversible damage occurs, and the high cost of developing new drugs and getting them approved by regulatory agencies. Whole-genome sequencing (WGS) techniques have become exponentially less expensive and more rapid since the beginning of the human genome project, such that return of clinical data can now be achieved in days rather than years and at a cost that is comparable to other less expansive genetic testing. Thus, it is likely that WGS will ultimately become a mainstream, first-tier NBS technique at least for those disorders without appropriate high-throughput functional tests. However, there are likely to be several steps in the evolution to this end. The clinical implications of these advances are profound but highlight the bottlenecks in drug development that still limit transition to treatments. This article summarizes discussions arising from a recent National Institute of Health conference on nucleic acid therapy, with a focus on the impact of WGS in the identification of diagnosis and treatment of rare genetic disorders.
Collapse
Affiliation(s)
- Jerry Vockley
- Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
- Department of Human Genetics, University of Pittsburgh School of Public Health, Pittsburgh, Pennsylvania, USA
| | | | - Jennifer L Cohen
- Department of Pediatrics, Duke University Medical Center, Durham, North Carolina, USA
| | - Lex M Cowsert
- National Phenylketonuria Alliance, Eau Claire, Wisconsin, USA
| | - R Rodney Howell
- Miller School of Medicine, University of Miami, Miami, Florida, USA
| | - Timothy W Yu
- Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA
| | - Melissa P Wasserstein
- Department of Pediatrics, Albert Einstein College of Medicine and the Children's Hospital at Montefiore, Bronx, New York, USA
| | - Thomas Defay
- Alexion AstraZeneca Rare Diseases, Boston, Massachusetts, USA
| |
Collapse
|
23
|
Carter MT, Srour M, Au PYB, Buhas D, Dyack S, Eaton A, Inbar-Feigenberg M, Howley H, Kawamura A, Lewis SME, McCready E, Nelson TN, Vallance H. Genetic and metabolic investigations for neurodevelopmental disorders: position statement of the Canadian College of Medical Geneticists (CCMG). J Med Genet 2023; 60:523-532. [PMID: 36822643 DOI: 10.1136/jmg-2022-108962] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 01/27/2023] [Indexed: 02/25/2023]
Abstract
PURPOSE AND SCOPE The aim of this position statement is to provide recommendations for clinicians regarding the use of genetic and metabolic investigations for patients with neurodevelopmental disorders (NDDs), specifically, patients with global developmental delay (GDD), intellectual disability (ID) and/or autism spectrum disorder (ASD). This document also provides guidance for primary care and non-genetics specialists caring for these patients while awaiting consultation with a clinical geneticist or metabolic specialist. METHODS OF STATEMENT DEVELOPMENT A multidisciplinary group reviewed existing literature and guidelines on the use of genetic and metabolic investigations for the diagnosis of NDDs and synthesised the evidence to make recommendations relevant to the Canadian context. The statement was circulated for comment to the Canadian College of Medical Geneticists (CCMG) membership-at-large and to the Canadian Pediatric Society (Mental Health and Developmental Disabilities Committee); following incorporation of feedback, it was approved by the CCMG Board of Directors on 1 September 2022. RESULTS AND CONCLUSIONS Chromosomal microarray is recommended as a first-tier test for patients with GDD, ID or ASD. Fragile X testing should also be done as a first-tier test when there are suggestive clinical features or family history. Metabolic investigations should be done if there are clinical features suggestive of an inherited metabolic disease, while the patient awaits consultation with a metabolic physician. Exome sequencing or a comprehensive gene panel is recommended as a second-tier test for patients with GDD or ID. Genetic testing is not recommended for patients with NDDs in the absence of GDD, ID or ASD, unless accompanied by clinical features suggestive of a syndromic aetiology or inherited metabolic disease.
Collapse
Affiliation(s)
| | - Myriam Srour
- Division of Neurology, McGill University Health Centre, Montreal, Québec, Canada
- Department of Pediatrics, McGill University, Montréal, QC, Canada
| | - Ping-Yee Billie Au
- Department of Medical Genetics, Alberta Children's Hospital, Calgary, Alberta, Canada
| | - Daniela Buhas
- Division of Medical Genetics, Department of Specialized Medicine, McGill University Health Centre, McGill University, Montreal, Québec, Canada
- Department of Human Genetics, McGill University, Montreal, QC, Canada
| | - Sarah Dyack
- Division of Medical Genetics, IWK Health Centre, Halifax, Nova Scotia, Canada
- Department of Pediatrics, Dalhousie University, Halifax, NS, Canada
| | - Alison Eaton
- Department of Medical Genetics, Stollery Children's Hospital, Edmonton, Alberta, Canada
- Department of Medical Genetics, University of Alberta, Edmonton, AB, Canada
| | - Michal Inbar-Feigenberg
- Division of Clinical and Metabolic Genetics, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Heather Howley
- Office of Research Services, CHEO Research Institute, Ottawa, Ontario, Canada
| | - Anne Kawamura
- Division of Developmental Pediatrics, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Ontario, Canada
- Department of Paediatrics, University of Toronto, Toronto, ON, Canada
- Mental Health and Developmental Disability Committee, Canadian Pediatric Society, Ottawa, ON, Canada
- Canadian Paediatric Society, Toronto, Ontario, Canada
| | - Suzanne M E Lewis
- Department of Medical Genetics, BC Children's and Women's Hospital, Vancouver, British Columbia, Canada
| | - Elizabeth McCready
- Department of Pathology and Molecular Medicine, McMaster University, McMaster University, Hamilton, ON, Canada, Hamilton, Ontario, Canada
- Hamilton Regional Laboratory Medicine Program, Hamilton Health Sciences Centre, Hamilton, ON, Canada
| | - Tanya N Nelson
- Department of Pathology and Laboratory Medicine, BC Children's Hospital, University of British Columbia, Vancouver, British Columbia, Canada
| | - Hilary Vallance
- Department of Pathology and Laboratory Medicine, BC Children's Hospital, University of British Columbia, Vancouver, British Columbia, Canada
| |
Collapse
|
24
|
Popova S, Charness ME, Burd L, Crawford A, Hoyme HE, Mukherjee RAS, Riley EP, Elliott EJ. Fetal alcohol spectrum disorders. Nat Rev Dis Primers 2023; 9:11. [PMID: 36823161 DOI: 10.1038/s41572-023-00420-x] [Citation(s) in RCA: 94] [Impact Index Per Article: 47.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/16/2023] [Indexed: 02/25/2023]
Abstract
Alcohol readily crosses the placenta and may disrupt fetal development. Harm from prenatal alcohol exposure (PAE) is determined by the dose, pattern, timing and duration of exposure, fetal and maternal genetics, maternal nutrition, concurrent substance use, and epigenetic responses. A safe dose of alcohol use during pregnancy has not been established. PAE can cause fetal alcohol spectrum disorders (FASD), which are characterized by neurodevelopmental impairment with or without facial dysmorphology, congenital anomalies and poor growth. FASD are a leading preventable cause of birth defects and developmental disability. The prevalence of FASD in 76 countries is >1% and is high in individuals living in out-of-home care or engaged in justice and mental health systems. The social and economic effects of FASD are profound, but the diagnosis is often missed or delayed and receives little public recognition. Future research should be informed by people living with FASD and be guided by cultural context, seek consensus on diagnostic criteria and evidence-based treatments, and describe the pathophysiology and lifelong effects of FASD. Imperatives include reducing stigma, equitable access to services, improved quality of life for people with FASD and FASD prevention in future generations.
Collapse
Affiliation(s)
- Svetlana Popova
- Institute for Mental Health Policy Research, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, Canada.
| | - Michael E Charness
- VA Boston Healthcare System, West Roxbury, MA, USA.,Department of Neurology, Harvard Medical School, Boston, MA, USA.,Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.,Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| | - Larry Burd
- North Dakota Fetal Alcohol Syndrome Center, Department of Pediatrics, University of North Dakota School of Medicine and Health Sciences, Pediatric Therapy Services, Altru Health System, Grand Forks, ND, USA
| | - Andi Crawford
- Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - H Eugene Hoyme
- Sanford Children's Genomic Medicine Consortium, Sanford Health, and University of South Dakota Sanford School of Medicine, Sioux Falls, SD, USA
| | - Raja A S Mukherjee
- National UK FASD Clinic, Surrey and Borders Partnership NHS Foundation Trust, Redhill, Surrey, UK
| | - Edward P Riley
- Center for Behavioral Teratology, San Diego State University, San Diego, CA, USA
| | - Elizabeth J Elliott
- Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.,New South Wales FASD Assessment Service, CICADA Centre for Care and Intervention for Children and Adolescents affected by Drugs and Alcohol, Sydney Children's Hospitals Network, Westmead, Sydney, New South Wales, Australia
| |
Collapse
|
25
|
Lee NC. The incorporation of next-generation sequencing into pediatric care. Pediatr Neonatol 2023; 64 Suppl 1:S30-S34. [PMID: 36456424 DOI: 10.1016/j.pedneo.2022.11.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 11/07/2022] [Indexed: 11/16/2022] Open
Abstract
Genetic condition is one of the major etiologies causing morbidity and mortality in infants and children. More and more etiologies can be solved using next-generation sequencing (NGS) as it develops. Currently, whole-exome sequencing (WES) and whole-genome sequencing (WGS) have been highly integrated into clinical practice. The average diagnostic yield of WES/WGS in pediatric patients with genetic condition was around 40% (range: 21%-80%), with acceptable turnaround time and cost. The higher diagnostic yield categories are deafness, ophthalmic, neurological, skeletal conditions, and inborn error of metabolism. Positive results provide benefit with those for actionable diseases, next pregnancy planning, and family members. For those in critical condition, with the emergence of sequencing technology and bioinformatics analysis tools, provisional diagnosis can be made as short as 13.5 h using ultrarapid WGS. We believe this powerful tool has changed pediatric daily practice.
Collapse
Affiliation(s)
- Ni-Chung Lee
- Department of Pediatrics and Medical Genetics, National Taiwan University Hospital, 8 Chung-Shan South Road, Taipei 10041, Taiwan.
| |
Collapse
|
26
|
Howley MM, Williford E, Agopian AJ, Lin AE, Botto LD, Cunniff CM, Romitti PA, Nestoridi E, Browne ML. Patterns of multiple congenital anomalies in the National Birth Defect Prevention Study: Challenges and insights. Birth Defects Res 2023; 115:43-55. [PMID: 35277952 PMCID: PMC9464263 DOI: 10.1002/bdr2.2003] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 02/15/2022] [Accepted: 03/02/2022] [Indexed: 01/25/2023]
Abstract
BACKGROUND About 20%-30% of children with birth defects have multiple major birth defects in more than one organ system, often referred to as multiple congenital anomalies (MCAs). Evaluating the patterns of MCAs can provide clues to the underlying causes, pathogenic mechanisms, and developmental pathways. We sought to explore selected patterns of MCAs within the National Birth Defects Prevention Study (NBDPS), a population-based, case-control study that excluded cases attributed to known chromosomal or single-gene abnormalities. METHODS We defined MCAs as having two or more NBDPS-eligible birth defects and calculated the adjusted observed-to-expected ratio for all observed MCA patterns using co-occurring defect analysis. RESULTS Of the 50,186 case infants eligible for NBDPS, 2,734 (3.7%) had at least two eligible birth defects. We observed 209 distinct 2-way combinations of birth defects, 297 distinct 3-way combinations, 179 distinct 4-way combinations, and 69 distinct 5-way combinations. Sacral agenesis had the largest proportion of cases with MCAs (70%), whereas gastroschisis had the lowest (3%). Among the cases with MCAs, 63% had a heart defect, 23% had an oral cleft, and 21% had anorectal atresia/stenosis. Of the patterns with adjusted observed-to-expected ratios in the top 20%, most were consistent with the known associations or syndromes, including VATER/VACTERL association and CHARGE syndrome. CONCLUSIONS Most but not all patterns that had the highest adjusted observed-to-expected ratios were instances of known syndromes or associations. These findings highlight the importance of considering birth defect combinations that suggest syndromic patterns in the absence of a formal syndromic diagnosis. New approaches for screening for sequences and associations, and VATER/VACTERL in particular, in surveillance systems with limited resources for manual review may be valuable for improving surveillance system quality. The observed MCA patterns within NBDPS may help focus future genetic studies by generating case groups of higher yield.
Collapse
Affiliation(s)
- Meredith M. Howley
- Birth Defects Registry, New York State Department of Health, Albany, New York, USA
| | - Eva Williford
- Birth Defects Registry, New York State Department of Health, Albany, New York, USA
| | - A. J. Agopian
- Department of Epidemiology, Human Genetics, and Environmental Sciences, UTHealth School of Public Health, Houston, Texas, USA
| | - Angela E. Lin
- Medical Genetics Unit, Department of Pediatrics, MassGeneral Hospital for Children, Boston, Massachusetts, USA
| | - Lorenzo D. Botto
- Division of Medical Genetics, Department of Pediatrics, University of Utah, Salt Lake City, Utah, USA
| | - Christopher M. Cunniff
- Division of Medical Genetics, Department of Pediatrics, Weill Cornell Medical College, New York, New York, USA
| | - Paul A. Romitti
- Department of Epidemiology, University of Iowa, Iowa City, Iowa, USA
| | - Eirini Nestoridi
- Center for Birth Defects Research and Prevention, Massachusetts Department of Public Health, Boston, Massachusetts, USA
| | - Marilyn L. Browne
- Birth Defects Registry, New York State Department of Health, Albany, New York, USA
- Department of Epidemiology and Biostatistics, School of Public Health, Rensselaer, New York, USA
| |
Collapse
|
27
|
Rojnueangnit K, Anthanont P, Khetkham T, Puttamanee S, Ittiwut C. Genetic diagnosis for adult patients at a genetic clinic. Cold Spring Harb Mol Case Stud 2022; 8:a006235. [PMID: 36265913 PMCID: PMC9808555 DOI: 10.1101/mcs.a006235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 10/04/2022] [Indexed: 01/31/2023] Open
Abstract
Clinical utility of genetic testing has rapidly increased in the past decade to identify the definitive diagnosis, etiology, and specific management. The majority of patients receiving testing are children. There are several barriers for genetic tests in adult patients; barriers may arise from either patients or clinicians. Our study aims to realize the detection rate and the benefits of genetic tests in adults. We conducted a prospective study of 10 adult patients who were referred to a genetic clinic. Exome sequencing (ES) was pursued in all cases, and chromosomal microarray (CMA) was performed for six cases. Our result is impressive; six cases (60%) received likely pathogenic and pathogenic variants. Four definitive diagnosis cases had known pathogenic variants in KCNJ2, TGFBR1, SCN1A, and FBN1, whereas another two cases revealed novel likely pathogenic and pathogenic variants in GNB1 and DNAH9. Our study demonstrates the success in genetic diagnosis in adult patients: four cases with definitive, two cases with possible, and one case with partial diagnosis. The advantage of diagnosis is beyond obtaining the diagnosis itself, but also relieving any doubt for the patient regarding any previous questionable diagnosis, guide for management, and recurrence risk in their children or family members. Therefore, this supports the value of genetic testing in adult patients.
Collapse
Affiliation(s)
- Kitiwan Rojnueangnit
- Department of Pediatrics, Faculty of Medicine, Thammasat University, Pathumthani, 12120 Thailand
| | - Pimjai Anthanont
- Department of Medicine, Faculty of Medicine, Thammasat University, Pathumthani, 12120 Thailand
| | - Thanitchet Khetkham
- Division of Forensic Medicine, Thammasat University Hospital, 12120 Thailand
| | - Sukita Puttamanee
- Faculty of Medicine, Thammasat University, Pathumthani, 12120 Thailand
| | - Chupong Ittiwut
- Center of Excellence for Medical Genomics, Department of Pediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330 Thailand
- Excellence Center for Genomics and Precision Medicine, King Chulalongkorn Memorial Hospital, the Thai Red Cross Society, Bangkok, 10330 Thailand
| |
Collapse
|
28
|
Buchh M, Gillespie PJ, Treat K, Abreu MA, Schwantes-An THL, Helm BM, Fang F, Xuei X, Mantcheva L, Suhrie KR, Graham BH, Conboy E, Vetrini F. Characterization of a novel deep-intronic variant in DYNC2H1 identified by whole-exome sequencing in a patient with a lethal form of a short-rib thoracic dysplasia type III. Cold Spring Harb Mol Case Stud 2022; 8:a006254. [PMID: 36442996 PMCID: PMC9808550 DOI: 10.1101/mcs.a006254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 11/21/2022] [Indexed: 11/30/2022] Open
Abstract
Biallelic pathogenic variants in DYNC2H1 are the cause of short-rib thoracic dysplasia type III with or without polydactyly (OMIM #613091), a skeletal ciliopathy characterized by thoracic hypoplasia due to short ribs. In this report, we review the case of a patient who was admitted to the Neonatal Intensive Care Unit (NICU) of Indiana University Health (IUH) for respiratory support after experiencing respiratory distress secondary to a small, narrow chest causing restrictive lung disease. Additional phenotypic features include postaxial polydactyly, short proximal long bones, and ambiguous genitalia were noted. Exome sequencing (ES) revealed a maternally inherited likely pathogenic variant c.10322C > T p.(Leu3448Pro) in the DYNC2H1 gene. However, there was no variant found on the paternal allele. Microarray analysis to detect deletion or duplication in DYNC2H1 was normal. Therefore, there was insufficient evidence to establish a molecular diagnosis. To further explore the data and perform additional investigations, the patient was subsequently enrolled in the Undiagnosed Rare Disease Clinic (URDC) at Indiana University School of Medicine (IUSM). The investigators at the URDC performed a reanalysis of the ES raw data, which revealed a paternally inherited DYNC2H1 deep-intronic variant c.10606-14A > G predicted to create a strong cryptic acceptor splice site. Additionally, the RNA sequencing of fibroblasts demonstrated partial intron retention predicted to cause a premature stop codon and nonsense-mediated mRNA decay (NMD). Droplet digital RT-PCR (RT-ddPCR) showed a drastic reduction by 74% of DYNCH2H1 mRNA levels. As a result, the intronic variant was subsequently reclassified as likely pathogenic resulting in a definitive clinical and genetic diagnosis for this patient. Reanalysis of ES and fibroblast mRNA experiments confirmed the pathogenicity of the splicing variants to supplement critical information not revealed in original ES or CMA reports. The NICU and URDC collaboration ended the diagnostic odyssey for this family; furthermore, its importance is emphasized by the possibility of prenatally diagnosing the mother's current pregnancy.
Collapse
Affiliation(s)
- Muqsit Buchh
- Indiana University School of Medicine, Indianapolis, Indiana 46202, USA
| | | | - Kayla Treat
- Indiana University School of Medicine, Indianapolis, Indiana 46202, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana 46202, USA
- Undiagnosed Rare Disease Clinic (URDC), Indiana University School of Medicine. Indianapolis, Indiana 46202, USA
| | - Marco A Abreu
- Indiana University School of Medicine, Indianapolis, Indiana 46202, USA
| | - Tae-Hwi Linus Schwantes-An
- Indiana University School of Medicine, Indianapolis, Indiana 46202, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana 46202, USA
- Undiagnosed Rare Disease Clinic (URDC), Indiana University School of Medicine. Indianapolis, Indiana 46202, USA
| | - Benjamin M Helm
- Indiana University School of Medicine, Indianapolis, Indiana 46202, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana 46202, USA
- Undiagnosed Rare Disease Clinic (URDC), Indiana University School of Medicine. Indianapolis, Indiana 46202, USA
| | - Fang Fang
- Indiana University School of Medicine, Indianapolis, Indiana 46202, USA
| | - Xiaoling Xuei
- Indiana University School of Medicine, Indianapolis, Indiana 46202, USA
| | - Lili Mantcheva
- Indiana University School of Medicine, Indianapolis, Indiana 46202, USA
| | - Kristen R Suhrie
- Indiana University School of Medicine, Indianapolis, Indiana 46202, USA
| | - Brett H Graham
- Indiana University School of Medicine, Indianapolis, Indiana 46202, USA
| | - Erin Conboy
- Indiana University School of Medicine, Indianapolis, Indiana 46202, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana 46202, USA
- Undiagnosed Rare Disease Clinic (URDC), Indiana University School of Medicine. Indianapolis, Indiana 46202, USA
| | - Francesco Vetrini
- Indiana University School of Medicine, Indianapolis, Indiana 46202, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana 46202, USA
- Undiagnosed Rare Disease Clinic (URDC), Indiana University School of Medicine. Indianapolis, Indiana 46202, USA
| |
Collapse
|
29
|
Lee G, Yu L, Suarez CJ, Stevenson DA, Ling A, Killer L. Factors associated with the time to complete clinical exome sequencing in a pediatric patient population. Genet Med 2022; 24:2028-2033. [PMID: 35951015 DOI: 10.1016/j.gim.2022.06.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 06/16/2022] [Accepted: 06/21/2022] [Indexed: 11/17/2022] Open
Abstract
PURPOSE Exome sequencing (ES) is becoming increasingly important for diagnosing rare genetic disorders. Patients and clinicians face several barriers when attempting to obtain ES. This study is aimed to describe factors associated with a longer time interval between provider recommendation of testing and sample collection for ES. METHODS A retrospective chart review was conducted for insurance-authorized, completed pediatric ES in which initial requests were reviewed by Stanford's Genetic Testing Optimization Service between November 2018 and December 2019. Regression analysis was used to determine the association between the geocoded median household income and 3 different time point intervals defined as time to test, insurance decision, and scheduling/consent. RESULTS Of the 281 charts reviewed, 115 cases were included in the final cohort. The average time from provider preauthorization request to sample collection took 104.4 days, and income was negatively correlated with the length of the insurance decision interval. CONCLUSION Pediatric patients undergo a lengthy, uncertain process when attempting to obtain ES, some of which is associated with income. More research and clinician interventions are required to clarify specific socioeconomic factors that influence the ability to obtain timely ES and develop optimal protocols.
Collapse
Affiliation(s)
- Gabriella Lee
- Human Genetics and Genetic Counseling Master's Program, Stanford Medicine, Stanford, CA
| | - Linbo Yu
- Stanford Hospitals and Clinics Genetic Testing Optimization Service, Stanford Medicine, Stanford, CA
| | - Carlos J Suarez
- Stanford Hospitals and Clinics Genetic Testing Optimization Service, Stanford Medicine, Stanford, CA; Department of Pathology, Stanford University, Stanford, CA
| | - David A Stevenson
- Stanford Hospitals and Clinics Genetic Testing Optimization Service, Stanford Medicine, Stanford, CA; Division of Medical Genetics, Department of Pediatrics, Stanford University, Stanford, CA
| | - Albee Ling
- Quantitative Sciences Unit, Stanford University, Palo Alto, CA
| | - Lindsay Killer
- Stanford Hospitals and Clinics Genetic Testing Optimization Service, Stanford Medicine, Stanford, CA.
| |
Collapse
|
30
|
Lee A, Neidich J, Nguyen H. Outpatient Primary Care Genetic Testing Primer: What to Order and Testing Considerations. MISSOURI MEDICINE 2022; 119:390-396. [PMID: 36118815 PMCID: PMC9462914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
The field of genetics has evolved rapidly over the last few decades, from testing methods to genetic diagnoses, bringing new genetic testing guidelines and considerations for health care providers. Overall geneticists are limited in number and availability, particularly in non-academic settings, and many patients first present to a primary care provider. Here, we aim to review various modalities of genetic testing, their indications, limitations, and other pretest considerations for the primary care provider. In addition, we comment on the limitations of direct-to-consumer (DTC) genetic testing, which has seen a rise in popularity among the general population.
Collapse
Affiliation(s)
- Angela Lee
- Department of Pediatrics, Division of Genetics and Genomic Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Julie Neidich
- Department of Pediatrics, Division of Genetics and Genomic Medicine, Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri
| | - Hoanh Nguyen
- Department of Pediatrics, Division of Genetics and Genomic Medicine, Washington University School of Medicine, St. Louis, Missouri
| |
Collapse
|
31
|
Rodriguez Llorian E, Dragojlovic N, Campbell TM, Friedman JM, Osiovich H, Elliott AM, Lynd LD. The effect of rapid exome sequencing on downstream health care utilization for infants with suspected genetic disorders in an intensive care unit. Genet Med 2022; 24:1675-1683. [PMID: 35622065 DOI: 10.1016/j.gim.2022.04.014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Revised: 04/05/2022] [Accepted: 04/06/2022] [Indexed: 01/12/2023] Open
Abstract
PURPOSE This study aimed to compare downstream utilization of medical services among critically ill infants admitted to intensive care units who received rapid exome sequencing (ES) and those who followed alternative diagnostic testing pathways. METHODS Using propensity score-weighted regression models including sex, age at admission, and severity indicators, we compared a group of 47 infants who underwent rapid ES with a group of 211 infants who did not receive rapid ES. Utilization and cost indicators were compared between cohorts using negative binomial models for utilization and two-part models for costs. RESULTS After controlling for patients' sociodemographic and clinical characteristics, we found no statistically significant difference in outpatient visits, hospitalizations, intensive care unit or total length of stay, or length of stay-associated costs between the cohorts at 12- or 26-month follow-up. Similarly, there was no evidence of higher utilization or costs by the ES group when infants who died were removed from the analysis. CONCLUSION When examining utilization during and beyond the diagnostic trajectory, there is no evidence that ES changes frequency of outpatient visits or use of in-hospital resources in critically ill infants with suspected genetic disorders.
Collapse
Affiliation(s)
- Elisabet Rodriguez Llorian
- Collaboration for Outcomes Research and Evaluation, Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia, Canada
| | - Nick Dragojlovic
- Collaboration for Outcomes Research and Evaluation, Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia, Canada
| | - Teresa M Campbell
- Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Jan M Friedman
- Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Horacio Osiovich
- Division of Neonatology, Department of Paediatrics, University of British Columbia, Vancouver, British Columbia, Canada
| | | | - Alison M Elliott
- Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Larry D Lynd
- Collaboration for Outcomes Research and Evaluation, Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia, Canada; Centre for Health Evaluation and Outcome Sciences, St. Paul's Hospital, Vancouver, British Columbia, Canada.
| |
Collapse
|
32
|
Swanson K, Sparks TN, Lianoglou BR, Chen F, Downum S, Patel S, Rego S, Yip T, Van Ziffle J, Koenig BA, Slavotinek AM, Norton ME. Preference for secondary findings in prenatal and pediatric exome sequencing. Prenat Diagn 2022; 42:753-761. [PMID: 34057224 PMCID: PMC8630094 DOI: 10.1002/pd.5973] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Revised: 05/14/2021] [Accepted: 05/18/2021] [Indexed: 11/06/2022]
Abstract
OBJECTIVE We aimed to determine the frequency of accepting secondary findings in families undergoing exome sequencing in prenatal and pediatric settings. METHODS This was a secondary analysis of prospectively enrolled patients undergoing trio exome sequencing for congenital anomalies or developmental disorders in prenatal and pediatric settings, in which families were offered receiving secondary findings (initially assessed in the proband and, if identified, then in the parents). The primary outcome was frequency of accepting secondary findings. Secondary outcomes included frequency of acceptance in prenatal versus pediatric settings, and sociodemographic differences between those who accepted versus declined secondary findings. RESULTS There were 682 families included in the cohort (289 prenatal and 393 pediatric). Overall, 84% (576/682) of families accepted secondary findings: 86.2% (249/289) of families undergoing prenatal versus 83.2% (327/393) pediatric (p = 0.30) testing. Secondary findings were identified in 2.6% (15/576) of cases, with no difference between prenatal and pediatric settings. There were no differences in sociodemographics between families that accepted versus declined secondary findings. CONCLUSION The majority of families undergoing exome sequencing accepted secondary findings; this did not differ in prenatal versus pediatric settings. This highlights the need for guidance surrounding the offer of secondary findings in the prenatal setting.
Collapse
Affiliation(s)
- Kate Swanson
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Division of Maternal-Fetal Medicine, University of California, San Francisco, California, USA
- Department of Pediatrics, Division of Medical Genetics, University of California, San Francisco, California, USA
| | - Teresa N. Sparks
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Division of Maternal-Fetal Medicine, University of California, San Francisco, California, USA
- Fetal Treatment Center, University of California, San Francisco, California, USA
- Institute for Human Genetics, University of California, San Francisco, California, USA
| | - Billie R. Lianoglou
- Fetal Treatment Center, University of California, San Francisco, California, USA
| | - Flavia Chen
- Institute for Human Genetics, University of California, San Francisco, California, USA
| | - Sarah Downum
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Division of Maternal-Fetal Medicine, University of California, San Francisco, California, USA
| | - Sachi Patel
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Division of Maternal-Fetal Medicine, University of California, San Francisco, California, USA
- Institute for Human Genetics, University of California, San Francisco, California, USA
| | - Shannon Rego
- Institute for Human Genetics, University of California, San Francisco, California, USA
| | - Tiffany Yip
- Institute for Human Genetics, University of California, San Francisco, California, USA
| | - Jessica Van Ziffle
- Institute for Human Genetics, University of California, San Francisco, California, USA
| | - Barbara A. Koenig
- Program in Bioethics, University of California, San Francisco, California, USA
| | - Anne M. Slavotinek
- Department of Pediatrics, Division of Medical Genetics, University of California, San Francisco, California, USA
- Institute for Human Genetics, University of California, San Francisco, California, USA
| | - Mary E. Norton
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Division of Maternal-Fetal Medicine, University of California, San Francisco, California, USA
- Department of Pediatrics, Division of Medical Genetics, University of California, San Francisco, California, USA
- Fetal Treatment Center, University of California, San Francisco, California, USA
- Institute for Human Genetics, University of California, San Francisco, California, USA
| |
Collapse
|
33
|
Van den Veyver IB, Chandler N, Wilkins-Haug L, Wapner RJ, Chitty LS. International Society for Prenatal Diagnosis Updated Position Statement on the use of genome-wide sequencing for prenatal diagnosis. Prenat Diagn 2022; 42:796-803. [PMID: 35583085 PMCID: PMC11220784 DOI: 10.1002/pd.6157] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 04/22/2022] [Indexed: 12/13/2022]
Abstract
The research and clinical use of genome-wide sequencing for prenatal diagnosis of fetuses at risk for genetic disorders have rapidly increased in recent years. Current data indicate that the diagnostic rate is comparable and for certain indications higher than that of standard testing by karyotype and chromosomal microarray. Responsible clinical implementation and diagnostic use of prenatal sequencing depends on standardized laboratory practices and detailed pre-test and post-test counseling. This Updated Position Statement on behalf of the International Society for Prenatal Diagnosis recommends best practices for the clinical use of prenatal exome and genome sequencing from an international perspective. We include several new points for consideration by researchers and clinical service and laboratory providers.
Collapse
Affiliation(s)
- Ignatia B. Van den Veyver
- Departments of Obstetrics and Gynecology and Molecular and Human Genetics, Baylor College of Medicine
- Texas Children’s Hospital, Houston TX 77030, USA
| | - Natalie Chandler
- North Thames Genomic Laboratory Hub, Great Ormond Street NHS Foundation Trust, London, WC1N 3JH, UK
| | - Louise Wilkins-Haug
- Division of Maternal-Fetal Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Ronald J. Wapner
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Columbia University Irving Medical Center, New York, NY
| | - Lyn S Chitty
- North Thames Genomic Laboratory Hub, Great Ormond Street NHS Foundation Trust, London, WC1N 3JH, UK
- Genetics and Genomics, UCL Great Ormond Street Institute of Child Health, London, WC1N 1EH, UK
| |
Collapse
|
34
|
Verberne EA, Westermann JM, de Vries TI, Ecury-Goossen GM, Lo-A-Njoe SM, Manshande ME, Faries S, Veenhuis HD, Philippi P, Falix FA, Rosina-Angelista I, Ponson-Wever M, Rafael-Croes L, Thorsen P, Arends E, de Vroomen M, Nagelkerke SQ, Tilanus M, van der Veken LT, Huijsdens-van Amsterdam K, van der Kevie-Kersemaekers AM, Alders M, Mannens MMAM, van Haelst MM. Genetic care in geographically isolated small island communities: 8 years of experience in the Dutch Caribbean. Am J Med Genet A 2022; 188:1777-1791. [PMID: 35253369 PMCID: PMC9314971 DOI: 10.1002/ajmg.a.62708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 01/25/2022] [Accepted: 02/12/2022] [Indexed: 11/16/2022]
Abstract
Worldwide, there are large inequalities in genetic service delivery. In 2011, we established a bi‐annual joint pediatric‐genetics clinic with a visiting clinical geneticist in the Dutch Caribbean. This retrospective study evaluates the yield of diagnostic testing and the clinical utility of a diagnosis for patients with rare diseases on these relatively isolated, resource‐limited islands. A total of 331 patients that were referred to the clinical geneticist between November 2011 and November 2019 and had genetic testing were included in this study. A total of 508 genetic tests were performed on these patients. Microarray, next‐generation sequencing gene panels, and single‐gene analyses were the most frequently performed genetic tests. A molecularly confirmed diagnosis was established in 33% of patients (n = 108). Most diagnosed patients had single nucleotide variants or small insertions and/or deletions (48%) or copy number variants (34%). Molecular diagnostic yield was highest in patients referred for seizures and developmental delay/intellectual disability. The genetic diagnosis had an impact on clinical management in 52% of patients. Referrals to other health professionals and changes in therapy were the most frequently reported clinical consequences. In conclusion, despite limited financial resources, our genetics service resulted in a reasonably high molecular diagnostic yield. Even in this resource‐limited setting, a genetic diagnosis had an impact on clinical management for the majority of patients. Our approach with a visiting clinical geneticist may be an example for others who are developing genetic services in similar settings.
Collapse
Affiliation(s)
- Eline A Verberne
- Department of Human Genetics and Amsterdam Reproduction & Development research institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Jonne M Westermann
- Department of Human Genetics and Amsterdam Reproduction & Development research institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.,Department of Human Genetics, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Tamar I de Vries
- Department of Human Genetics, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.,Department of Medical Genetics, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | | | | | | | - Sonja Faries
- Department of Pediatrics, Curaçao Medical Center, Willemstad, Curaçao
| | - Hans D Veenhuis
- Department of Pediatrics, Curaçao Medical Center, Willemstad, Curaçao
| | - Patricia Philippi
- Department of Pediatrics, Curaçao Medical Center, Willemstad, Curaçao
| | - Farah A Falix
- Department of Pediatrics, Curaçao Medical Center, Willemstad, Curaçao
| | | | - Maria Ponson-Wever
- Department of Pediatrics, Dr. Horacio E. Oduber Hospital, Oranjestad, Aruba
| | | | - Patricia Thorsen
- Department of Pediatrics, Dr. Horacio E. Oduber Hospital, Oranjestad, Aruba
| | - Eric Arends
- Department of Pediatrics, Dr. Horacio E. Oduber Hospital, Oranjestad, Aruba
| | - Maartje de Vroomen
- Department of Pediatrics, Fundashon Mariadal, Kralendijk, Bonaire, The Netherlands.,Department of Pediatrics, Emma Children's Hospital, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Sietse Q Nagelkerke
- Department of Pediatrics, Fundashon Mariadal, Kralendijk, Bonaire, The Netherlands.,Department of Pediatrics, Emma Children's Hospital, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Martijn Tilanus
- Department of Pediatrics, St. Maarten Medical Center, Cay Hill, St. Maarten
| | - Lars T van der Veken
- Department of Genetics, Division Laboratories, Pharmacy and Biomedical Genetics, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Karin Huijsdens-van Amsterdam
- Department of Genetics, Division Laboratories, Pharmacy and Biomedical Genetics, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Anne-Marie van der Kevie-Kersemaekers
- Department of Human Genetics and Amsterdam Reproduction & Development research institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Mariëlle Alders
- Department of Human Genetics and Amsterdam Reproduction & Development research institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Marcel M A M Mannens
- Department of Human Genetics and Amsterdam Reproduction & Development research institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Mieke M van Haelst
- Department of Human Genetics and Amsterdam Reproduction & Development research institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| |
Collapse
|
35
|
Gonzales PR, Andersen EF, Brown TR, Horner VL, Horwitz J, Rehder CW, Rudy NL, Robin NH, Thorland EC, On Behalf Of The Acmg Laboratory Quality Assurance Committee. Interpretation and reporting of large regions of homozygosity and suspected consanguinity/uniparental disomy, 2021 revision: A technical standard of the American College of Medical Genetics and Genomics (ACMG). Genet Med 2022; 24:255-261. [PMID: 34906464 DOI: 10.1016/j.gim.2021.10.004] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 10/06/2021] [Indexed: 12/18/2022] Open
Abstract
Genomic testing, including single-nucleotide variation (formerly single-nucleotide polymorphism)-based chromosomal microarray and exome and genome sequencing, can detect long regions of homozygosity (ROH) within the genome. Genomic testing can also detect possible uniparental disomy (UPD). Platforms that can detect ROH and possible UPD have matured since the initial American College of Medical Genetics and Genomics (ACMG) standard was published in 2013, and the detection of ROH and UPD by these platforms has shown utility in diagnosis of patients with genetic/genomic disorders. The presence of these segments, when distributed across multiple chromosomes, may indicate a familial relationship between the proband's parents. This technical standard describes the detection of possible consanguinity and UPD by genomic testing, as well as the factors confounding the inference of a specific parental relationship or UPD. Current bioethical and legal issues regarding detection and reporting of consanguinity are also discussed.
Collapse
Affiliation(s)
| | - Erica F Andersen
- ARUP Laboratories, Salt Lake City, UT; The University of Utah, Salt Lake City, UT
| | | | | | | | | | | | | | | | | |
Collapse
|
36
|
Murdock DR, Rosenfeld JA, Lee B. What Has the Undiagnosed Diseases Network Taught Us About the Clinical Applications of Genomic Testing? Annu Rev Med 2022; 73:575-585. [PMID: 35084988 PMCID: PMC10874501 DOI: 10.1146/annurev-med-042120-014904] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Genetic testing has undergone a revolution in the last decade, particularly with the advent of next-generation sequencing and its associated reductions in costs and increases in efficiencies. The Undiagnosed Diseases Network (UDN) has been a leader in the application of such genomic testing for rare disease diagnosis. This review discusses the current state of genomic testing performed within the UDN, with a focus on the strengths and limitations of whole-exome and whole-genome sequencing in clinical diagnostics and the importance of ongoing data reanalysis. The role of emerging technologies such as RNA and long-read sequencing to further improve diagnostic rates in the UDN is also described. This review concludes with a discussion of the challenges faced in insurance coverage of comprehensive genomic testing as well as the opportunities for a larger role of testing in clinical medicine.
Collapse
Affiliation(s)
- David R Murdock
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030, USA;
| | - Jill A Rosenfeld
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030, USA;
| | - Brendan Lee
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030, USA;
- Texas Children's Hospital, Houston, Texas 77030, USA
| |
Collapse
|
37
|
Peltekova I, Yusuf A, Frei J, Savion-Lemieux T, Joober R, Howe J, Scherer SW, Elsabbagh M. Predictors of empowerment in parents of children with autism and related neurodevelopmental disorders who are undergoing genetic testing. Mol Genet Genomic Med 2021; 9:e1803. [PMID: 34668664 PMCID: PMC8606197 DOI: 10.1002/mgg3.1803] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2021] [Revised: 08/18/2021] [Accepted: 08/24/2021] [Indexed: 12/29/2022] Open
Abstract
Background There is limited empirical data quantifying the utility of genetic testing for families of children with autism spectrum disorder (ASD) or related neurodevelopmental disorders (NDD). We assessed the utility of clinical chromosomal microarray analysis (CMA), defined by diagnostic yield and parental empowerment, in population‐based sample of parents of affected children; and explored child, family, and health services factors predictive of empowerment. Methods Participants were families of children undergoing diagnostic assessments, between 2016 and 2019. Diagnostic yield of CMA in affected children was determined. Parental empowerment was measured through adapted version of the Genetics Counseling Outcome Scale‐24. Parents completed questionnaires to capture child, family, and health service factors. Results The diagnostic yield of CMA was 2.8% for pathogenic variants. Parental empowerment was significantly correlated with family functioning and aspects of perceived family‐centeredness of care. The model accounted for 49.8% of the variation in parental empowerment, F (10,37) = 3.67, p = 0.002. After accounting for other predictors, parental perception of the provision of general information remained significantly associated with empowerment. Conclusion The informational needs of families play an important role in their empowerment during genetic testing. Meeting these needs and monitoring empowerment can aid genomic technologies integration in personalized healthcare for ASD/NDD.
Collapse
Affiliation(s)
| | - Afiqah Yusuf
- McGill University Health Centre, Montreal, Quebec, Canada.,Azraeli Centre for Autism Research, Montreal Neurologic Institute, Montreal, Quebec, Canada
| | - Jennifer Frei
- McGill University Health Centre, Montreal, Quebec, Canada
| | | | - Ridha Joober
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Jennifer Howe
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Stephen W Scherer
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada.,McLaughlin Centre and Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
| | - Mayada Elsabbagh
- McGill University Health Centre, Montreal, Quebec, Canada.,Azraeli Centre for Autism Research, Montreal Neurologic Institute, Montreal, Quebec, Canada
| |
Collapse
|
38
|
Peltekova I, Buhas D, Stern L, Kirby E, Yusuf A, Elsabbagh M. Enhancing the Impact of Genomics Research in Autism through Integration of Research Results into Routine Care Pathways-A Case Series. J Pers Med 2021; 11:755. [PMID: 34442399 PMCID: PMC8400173 DOI: 10.3390/jpm11080755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 07/25/2021] [Accepted: 07/28/2021] [Indexed: 12/03/2022] Open
Abstract
The return of genetic results (RoR) to participants, enrolled as children, in autism research remains a complex process. Existing recommendations offer limited guidance on the use of genetic research results for clinical care. We highlight current challenges with RoR and illustrate how the use of a guiding framework drawn from existing literature facilitates RoR and the clinical integration of genetic research results. We report a case series (n = 16) involving the return of genetic results to participants in large genomics studies in Autism Spectrum Disorders (ASD). We outline the framework that guided RoR and facilitated integration into clinical care pathways. We highlight specific cases to illustrate challenges that were, or could have been, resolved through this framework. The case series demonstrates the ethical, clinical and practical difficulties of RoR in ASD genomic studies for participants enrolled as children. Challenges were resolved using pre-established framework to guide RoR and incorporate research genetic results into clinical care. We suggest that optimal use of genetic research results relies on their integration into individualized care pathways for participants. We offer a framework that attempts to bridge the gap between research and healthcare in ASD.
Collapse
Affiliation(s)
- Iskra Peltekova
- McGill University Health Centre, McGill University, Montreal, QC H3A 0G4, Canada; (D.B.); (L.S.); (M.E.)
- Montreal Children’s Hospital, McGill University Health Centre, Montreal, QC M4A 3J1, Canada
| | - Daniela Buhas
- McGill University Health Centre, McGill University, Montreal, QC H3A 0G4, Canada; (D.B.); (L.S.); (M.E.)
- Montreal Children’s Hospital, McGill University Health Centre, Montreal, QC M4A 3J1, Canada
| | - Lara Stern
- McGill University Health Centre, McGill University, Montreal, QC H3A 0G4, Canada; (D.B.); (L.S.); (M.E.)
- Montreal Children’s Hospital, McGill University Health Centre, Montreal, QC M4A 3J1, Canada
| | - Emily Kirby
- Centre of Genomics and Policy, McGill University, Montreal, QC H3A 0G1, Canada;
| | - Afiqah Yusuf
- Azrieli Centre for Autism Research, Montreal Neurological Institute, Montreal, QC H3A 2B4, Canada;
| | - Mayada Elsabbagh
- McGill University Health Centre, McGill University, Montreal, QC H3A 0G4, Canada; (D.B.); (L.S.); (M.E.)
- Azrieli Centre for Autism Research, Montreal Neurological Institute, Montreal, QC H3A 2B4, Canada;
| |
Collapse
|
39
|
Exome and genome sequencing for pediatric patients with congenital anomalies or intellectual disability: an evidence-based clinical guideline of the American College of Medical Genetics and Genomics (ACMG). Genet Med 2021; 23:2029-2037. [PMID: 34211152 DOI: 10.1038/s41436-021-01242-6] [Citation(s) in RCA: 289] [Impact Index Per Article: 72.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 05/26/2021] [Accepted: 05/26/2021] [Indexed: 01/22/2023] Open
Abstract
PURPOSE To develop an evidence-based clinical practice guideline for the use of exome and genome sequencing (ES/GS) in the care of pediatric patients with one or more congenital anomalies (CA) with onset prior to age 1 year or developmental delay (DD) or intellectual disability (ID) with onset prior to age 18 years. METHODS The Pediatric Exome/Genome Sequencing Evidence-Based Guideline Work Group (n = 10) used the Grading of Recommendations Assessment, Development and Evaluation (GRADE) evidence to decision (EtD) framework based on the recent American College of Medical Genetics and Genomics (ACMG) systematic review, and an Ontario Health Technology Assessment to develop and present evidence summaries and health-care recommendations. The document underwent extensive internal and external peer review, and public comment, before approval by the ACMG Board of Directors. RESULTS The literature supports the clinical utility and desirable effects of ES/GS on active and long-term clinical management of patients with CA/DD/ID, and on family-focused and reproductive outcomes with relatively few harms. Compared with standard genetic testing, ES/GS has a higher diagnostic yield and may be more cost-effective when ordered early in the diagnostic evaluation. CONCLUSION We strongly recommend that ES/GS be considered as a first- or second-tier test for patients with CA/DD/ID.
Collapse
|
40
|
Sampayo-Cordero M, Miguel-Huguet B, Malfettone A, Pérez-García JM, Llombart-Cussac A, Cortés J, Pardo A, Pérez-López J. The Impact of Excluding Nonrandomized Studies From Systematic Reviews in Rare Diseases: "The Example of Meta-Analyses Evaluating the Efficacy and Safety of Enzyme Replacement Therapy in Patients With Mucopolysaccharidosis". Front Mol Biosci 2021; 8:690615. [PMID: 34239895 PMCID: PMC8257960 DOI: 10.3389/fmolb.2021.690615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2021] [Accepted: 05/24/2021] [Indexed: 12/01/2022] Open
Abstract
Nonrandomized studies are usually excluded from systematic reviews. This could lead to loss of a considerable amount of information on rare diseases. In this article, we explore the impact of excluding nonrandomized studies on the generalizability of meta-analyses results on mucopolysaccharidosis (MPS) disease. A comprehensive search of systematic reviews on MPS patients up to May 2020 was carried out (CRD42020191217). The primary endpoint was the rate of patients excluded from systematic reviews if only randomized studies were considered. Secondary outcomes included the differences in patient and study characteristics between randomized and nonrandomized studies, the methods used to combine data from studies with different designs, and the number of patients excluded from systematic reviews if case reports were not considered. More than 50% of the patients analyzed have been recruited in nonrandomized studies. Patient characteristics, duration of follow-up, and the clinical outcomes evaluated differ between the randomized and nonrandomized studies. There are feasible strategies to combine the data from different randomized and nonrandomized designs. The analyses suggest the relevance of including case reports in the systematic reviews, since the smaller the number of patients in the reference population, the larger the selection bias associated to excluding case reports. Our results recommend including nonrandomized studies in the systematic reviews of MPS to increase the representativeness of the results and to avoid a selection bias. The recommendations obtained from this study should be considered when conducting systematic reviews on rare diseases.
Collapse
Affiliation(s)
| | | | | | - José Manuel Pérez-García
- Medica Scientia Innovation Research (MedSIR), Barcelona, Spain
- IOB Institute of Oncology, Quiron Salud Group, Madrid, Spain
| | - Antonio Llombart-Cussac
- Medica Scientia Innovation Research (MedSIR), Barcelona, Spain
- Hospital Arnau de Vilanova, Universidad Católica de Valencia San Vicente Mártir, Valencia, Spain
| | - Javier Cortés
- Medica Scientia Innovation Research (MedSIR), Barcelona, Spain
- IOB Institute of Oncology, Quiron Salud Group, Madrid, Spain
- Vall d´Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Almudena Pardo
- Albiotech Consultores y Redacción Científica S.L., Madrid, Spain
| | - Jordi Pérez-López
- Department of Internal Medicine, Hospital Vall d’Hebron, Barcelona, Spain
| |
Collapse
|
41
|
Ozlu C, Bailey RM, Sinnett S, Goodspeed KD. Gene Transfer Therapy for Neurodevelopmental Disorders. Dev Neurosci 2021; 43:230-240. [PMID: 33882495 DOI: 10.1159/000515434] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 02/13/2021] [Indexed: 11/19/2022] Open
Abstract
Neurodevelopmental disorders (NDDs) include a broad spectrum of disorders that disrupt normal brain development. Though some NDDs are caused by acquired insults (i.e., toxic or infectious encephalopathy) or may be cryptogenic, many NDDs are caused by variants in a single gene or groups of genes that disrupt neuronal development or function. In this review, we will focus on those NDDs with a genetic etiology. The exact mechanism, timing, and progression of the molecular pathology are seldom well known; however, the abnormalities in development typically manifest in similar patterns such as delays or regression in motor function, social skills, and language or cognitive abilities. Severity of impairment can vary widely. At present, only symptomatic treatments are available to manage seizures and behavioral problems commonly seen in NDDs. In recent years, there has been a rapid expansion of research into gene therapy using adeno-associated viruses (AAVs). Using AAVs as vectors to replace the non- or dysfunctional gene in vivo is a relatively simple model which has created an unprecedented opportunity for the future of NDD treatment. Advances in this field are of paramount importance as NDDs lead to a massive lifelong burden of disease on the affected individuals and families. In this article, we review the unique advantages and challenges of AAV gene therapies. We then look at potential applications of gene therapy for 3 of the more common NDDs (Rett syndrome, fragile X syndrome, and Angelman syndrome), as well as 2 less common NDDs (SLC13A5 deficiency disorder and SLC6A1-related disorder). We will review the available natural history of each disease and current state of preclinical studies including a discussion on the application of AAV gene therapies for each disease.
Collapse
Affiliation(s)
- Can Ozlu
- Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Rachel M Bailey
- Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Center for Alzheimer's and Neurodegenerative Diseases, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Sarah Sinnett
- Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Eugene McDermott Center for Human Growth and Development, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Kimberly D Goodspeed
- Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| |
Collapse
|
42
|
Endrakanti M, Gupta N, Gupta P. 50 Years Ago in TheJournalofPediatrics: Syndromic Intellectual Disability: A Never-Ending Genomic Odyssey. J Pediatr 2021; 231:109. [PMID: 33766290 DOI: 10.1016/j.jpeds.2020.11.038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Affiliation(s)
| | - Neerja Gupta
- All India Institute of Medical Sciences, Delhi, India
| | - Piyush Gupta
- University College of Medical Sciences, Delhi, India
| |
Collapse
|
43
|
Lapato DM, Moore AA, Findling R, Brown RC, Roberson-Nay R. An Update on Precision Medicine Advances In Neurodevelopmental Disorders. Psychiatr Ann 2021; 51:175-184. [PMID: 37609560 PMCID: PMC10443929 DOI: 10.3928/00485713-20210309-01] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/24/2023]
Abstract
Neurodevelopmental disorders, including autism spectrum disorder (ASD) and attention-deficit/hyper-activity disorder (ADHD), represent a group of conditions that manifest early in child development and produce impairments across multiple domains of functioning. Although a number of pharmacological and psychosocial treatments exist to improve the symptoms associated with these syndromes, treatment advances have lagged. The Precision Medicine Initiative was launched with the goal of revolutionizing medicine by progressing beyond the historical one-size-fits-all approach. In this review, we evaluate current research efforts to personalize treatments for ASD and ADHD. Most pharmacogenetic testing has focused on the cytochrome P450 enzyme family with a particular focus on CYP2D6 and CYP2C19, which are genes that produce an enzyme that acts as a key metabolizer of many prescribed medications. This article provides an update on the state of the field of pharmacogenetics and "therapy-genetics" in the context of ASD and ADHD, and it also encourages clinicians to follow US Food and Drug Administration recommendations regarding pharmacogenetic testing.
Collapse
Affiliation(s)
- Dana M. Lapato
- Department of Human and Molecular Genetics, Virginia Commonwealth University
- Virginia Institute of Psychiatric and Behavioral Genetics, Virginia Commonwealth University
| | - Ashlee A. Moore
- Virginia Institute of Psychiatric and Behavioral Genetics, Virginia Commonwealth University
- Department of Psychiatry Virginia Commonwealth University
| | | | - Ruth C. Brown
- Virginia Institute of Psychiatric and Behavioral Genetics, Virginia Commonwealth University
- Department of Psychiatry Virginia Commonwealth University
| | - Roxann Roberson-Nay
- Virginia Institute of Psychiatric and Behavioral Genetics, Virginia Commonwealth University
- Department of Psychiatry Virginia Commonwealth University
| |
Collapse
|
44
|
Abstract
PURPOSE OF REVIEW Perinatal disorders include stillbirth, congenital structural anomalies, and critical illnesses in neonates. The cause of these is often unknown despite a thorough clinical workup. Genetic diseases cause a significant portion of perinatal disorders. The purpose of this review is to describe recent advances in genetic testing of perinatal disorders of unknown cause and to provide a potential diagnostic strategy. RECENT FINDINGS Exome and genome sequencing (ES and GS) have demonstrated that significant portions of perinatal disorders are caused by genetic disease. However, estimates of the exact proportion have varied widely across fetal and neonatal cohorts and most of the genetic diagnoses found in recent studies have been unique to individual cases. Having a specific genetic diagnosis provides significant clinical utility, including improved prognostication of the outcome, tailored therapy, directed testing for associated syndromic manifestations, referral to appropriate subspecialists, family planning, and redirection of care. SUMMARY Perinatal disorders of unknown cause, with nonspecific presentations, are often caused by genetic diseases best diagnosed by ES or GS. Prompt diagnosis facilitates improved clinical care. Improvements in noninvasive sampling, variant interpretation, and population-level research will further enhance the clinical utility of genetic testing. VIDEO ABSTRACT http://links.lww.com/MOP/A61.
Collapse
Affiliation(s)
- Thomas Hays
- Division of Neonatology, Department of Pediatrics, Columbia University Irving Medical Center, New York, New York, USA
| | - Ronald J. Wapner
- Department of Obstetrics and Gynecology, Columbia University Irving Medical Center, New York, New York, USA
- Institute for Genomic Medicine, Columbia University Irving Medical Center, New York, New York, USA
| |
Collapse
|
45
|
Vinkšel M, Writzl K, Maver A, Peterlin B. Improving diagnostics of rare genetic diseases with NGS approaches. J Community Genet 2021; 12:247-256. [PMID: 33452619 PMCID: PMC8141085 DOI: 10.1007/s12687-020-00500-5] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Accepted: 12/08/2020] [Indexed: 01/08/2023] Open
Abstract
According to a rough estimate, one in fifteen people worldwide is affected by a rare disease. Rare diseases are therefore common in clinical practice; however, timely diagnosis of rare diseases is still challenging. Introduction of novel methods based on next-generation sequencing (NGS) technology offers a successful diagnosis of genetically heterogeneous disorders, even in case of unclear clinical diagnostic hypothesis. However, the application of novel technology differs among the centres and health systems significantly. Our goal is to discuss the impact of the implementation of NGS in the diagnosis of rare diseases and present advantages along with challenges of diagnostic approach. Systematic implementation of NGS in health systems can significantly improve the access of patients with rare diseases to diagnosis and reduce the dependence of national health systems for cross-border collaboration.
Collapse
Affiliation(s)
- Mateja Vinkšel
- Clinical Institute of Genomic Medicine, University medical Centre Ljubljana, Zaloška cesta 7, Ljubljana, Slovenia
| | - Karin Writzl
- Clinical Institute of Genomic Medicine, University medical Centre Ljubljana, Zaloška cesta 7, Ljubljana, Slovenia
| | - Aleš Maver
- Clinical Institute of Genomic Medicine, University medical Centre Ljubljana, Zaloška cesta 7, Ljubljana, Slovenia
| | - Borut Peterlin
- Clinical Institute of Genomic Medicine, University medical Centre Ljubljana, Zaloška cesta 7, Ljubljana, Slovenia.
| |
Collapse
|
46
|
Systematic assessment of outcomes following a genetic diagnosis identified through a large-scale research study into developmental disorders. Genet Med 2021; 23:1058-1064. [PMID: 33603196 PMCID: PMC8187151 DOI: 10.1038/s41436-021-01110-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Revised: 01/14/2021] [Accepted: 01/22/2021] [Indexed: 11/29/2022] Open
Abstract
Purpose The clinical and psychosocial outcomes associated with receiving a genetic diagnosis for developmental disorders are wide-ranging but under-studied. We sought to investigate outcomes from a subset of families who received a diagnosis through the Deciphering Developmental Disorders (DDD) study. Methods Individuals recruited through the Peninsula Clinical Genetics Service who received a confirmed genetic diagnosis through the DDD study before August 2019 (n = 112) were included in a clinical audit. Families with no identified clinical outcomes (n = 16) were invited to participate in semistructured telephone interviews. Results Disease-specific treatment was identified for 7 probands (6%), while 48 probands (43%) were referred for further investigations or screening and 60 probands (54%) were recruited to further research. Just 5 families (4%) opted for prenatal testing in a subsequent pregnancy, reflecting the relatively advanced maternal age in our cohort, and 42 families (38%) were given disease-specific information or signposting to patient-specific resources such as support groups. Six interviews were performed (response rate = 47%) and thematic analysis identified four major themes: reaching a diagnosis, emotional impact, family implications, and practical issues. Conclusion Our data demonstrate that receiving a genetic diagnosis has substantial positive medical and psychosocial outcomes for the majority of patients and their families.
Collapse
|
47
|
Finucane BM, Ledbetter DH, Vorstman JA. Diagnostic genetic testing for neurodevelopmental psychiatric disorders: closing the gap between recommendation and clinical implementation. Curr Opin Genet Dev 2021; 68:1-8. [PMID: 33434711 DOI: 10.1016/j.gde.2020.12.016] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 12/09/2020] [Accepted: 12/22/2020] [Indexed: 12/19/2022]
Abstract
Advances in laboratory testing have significantly increased the detection of rare genetic etiologies of neurodevelopmental psychiatric disorders (NPD), particularly developmental delay/ intellectual disability, autism spectrum disorder, and schizophrenia. Establishing a genetic diagnosis has important medical and personal utility for individuals with these conditions. Diagnostic genetic tests for NPD are clinically available but underutilized outside of medical genetics settings. Without clear multidisciplinary consensus recommendations, active involvement of medical specialists working with NPD patients, and practical education and training, the implementation of genetic testing for NPD will continue to lag behind other areas of medicine. In the long-term, collaborative efforts to address educational, logistical, and workforce obstacles will improve patient care and pave the way for targeted, effective NPD treatments.
Collapse
Affiliation(s)
- Brenda M Finucane
- Autism & Developmental Medicine Institute, Geisinger, Lewisburg, PA USA.
| | - David H Ledbetter
- Autism & Developmental Medicine Institute, Geisinger, Lewisburg, PA USA
| | - Jacob As Vorstman
- Department of Psychiatry, The Hospital for Sick Children, Toronto, ON, Canada
| |
Collapse
|
48
|
Sobering AK, Li D, Beighley JS, Carey JC, Donald T, Elsea SH, Figueroa KP, Gerdts J, Hamlet A, Mirzaa GM, Nelson B, Pulst SM, Smith JL, Tassone F, Toriello HV, Walker RH, Yearwood KR, Bhoj EJ. Experiences with offering pro bono medical genetics services in the West Indies: Benefits to patients, physicians, and the community. AMERICAN JOURNAL OF MEDICAL GENETICS. PART C, SEMINARS IN MEDICAL GENETICS 2020; 184:1030-1041. [PMID: 33274544 PMCID: PMC8683562 DOI: 10.1002/ajmg.c.31871] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Revised: 11/21/2020] [Accepted: 11/25/2020] [Indexed: 12/16/2022]
Abstract
We describe our experiences with organizing pro bono medical genetics and neurology outreach programs on several different resource-limited islands in the West Indies. Due to geographic isolation, small population sizes, and socioeconomic disparities, most Caribbean islands lack medical services for managing, diagnosing, and counseling individuals with genetic disorders. From 2015 to 2019, we organized 2-3 clinics per year on various islands in the Caribbean. We also organized a week-long clinic to provide evaluations for children suspected of having autism spectrum disorder. Consultations for over 100 different individuals with suspected genetic disorders were performed in clinics or during home visits following referral by locally registered physicians. When possible, follow-up visits were attempted. When available and appropriate, clinical samples were shipped to collaborating laboratories for molecular analysis. Laboratory tests included karyotyping, cytogenomic microarray analysis, exome sequencing, triplet repeat expansion testing, blood amino acid level determination, biochemical assaying, and metabolomic profiling. We believe that significant contributions to healthcare by genetics professionals can be made even if availability is limited. Visiting geneticists may help by providing continuing medical education seminars. Clinical teaching rounds help to inform local physicians regarding the management of genetic disorders with the aim of generating awareness of genetic conditions. Even when only periodically available, a visiting geneticist may benefit affected individuals, their families, their local physicians, and the community at large.
Collapse
Affiliation(s)
- Andrew K. Sobering
- Department of Biochemistry, St. George's University School of Medicine, St. George's, Grenada
- Windward Islands Research and Education Foundation, True Blue, St. George's, Grenada
| | - Dong Li
- Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Jennifer S. Beighley
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, Washington
| | - John C. Carey
- Department of Pediatrics, University of Utah Health, Salt Lake City, Utah
| | - Tyhiesia Donald
- Grenada General Hospital, Pediatrics Ward, St. George's, Grenada
- Clinical Teaching Unit, St. George's University School of Medicine, St. George's, Grenada
| | - Sarah H. Elsea
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas
| | | | - Jennifer Gerdts
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, Washington
| | - Andre Hamlet
- Grenada General Hospital, Pediatrics Ward, St. George's, Grenada
- Clinical Teaching Unit, St. George's University School of Medicine, St. George's, Grenada
| | - Ghayda M. Mirzaa
- Center for Integrative Brain Research, Seattle Children's Research Institute, Seattle, Washington
- Department of Pediatrics, University of Washington, Seattle, Washington
- Brotman Baty Institute for Precision Medicine, Seattle, Washington
| | - Beverly Nelson
- Clinical Teaching Unit, St. George's University School of Medicine, St. George's, Grenada
| | - Stefan M. Pulst
- Department of Neurology, University of Utah, Salt Lake City, Utah
| | - Janice L. Smith
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas
| | - Flora Tassone
- Department of Biochemistry and Molecular Medicine, University of California Davis, School of Medicine, Sacramento, California
- MIND Institute, University of California Davis Medical Center, Sacramento, California
| | - Helga V. Toriello
- Department of Pediatrics/Human Development College of Human Medicine, Michigan State University, Grand Rapids, Michigan
| | - Ruth H. Walker
- Department of Neurology, James J. Peters Veterans Affairs Medical Center, Bronx, New York
- Department of Neurology, Mount Sinai School of Medicine, New York City, New York
| | | | - Elizabeth J. Bhoj
- Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| |
Collapse
|
49
|
Clinical impact of genomic testing in patients with suspected monogenic kidney disease. Genet Med 2020; 23:183-191. [PMID: 32939031 PMCID: PMC7790755 DOI: 10.1038/s41436-020-00963-4] [Citation(s) in RCA: 78] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Revised: 08/25/2020] [Accepted: 08/31/2020] [Indexed: 12/15/2022] Open
Abstract
Purpose To determine the diagnostic yield and clinical impact of exome sequencing (ES) in patients with suspected monogenic kidney disease. Methods We performed clinically accredited singleton ES in a prospectively ascertained cohort of 204 patients assessed in multidisciplinary renal genetics clinics at four tertiary hospitals in Melbourne, Australia. Results ES identified a molecular diagnosis in 80 (39%) patients, encompassing 35 distinct genetic disorders. Younger age at presentation was independently associated with an ES diagnosis (p < 0.001). Of those diagnosed, 31/80 (39%) had a change in their clinical diagnosis. ES diagnosis was considered to have contributed to management in 47/80 (59%), including negating the need for diagnostic renal biopsy in 10/80 (13%), changing surveillance in 35/80 (44%), and changing the treatment plan in 16/80 (20%). In cases with no change to management in the proband, the ES result had implications for the management of family members in 26/33 (79%). Cascade testing was subsequently offered to 40/80 families (50%). Conclusion In this pragmatic pediatric and adult cohort with suspected monogenic kidney disease, ES had high diagnostic and clinical utility. Our findings, including predictors of positive diagnosis, can be used to guide clinical practice and health service design.
Collapse
|
50
|
Yusuf A, Peltekova I, Savion‐Lemieux T, Frei J, Joober R, Howe J, Scherer SW, Elsabbagh M. Adaptation and validation of the Genetic Counseling Outcome Scale for autism spectrum disorders and related conditions. J Genet Couns 2020; 30:305-318. [PMID: 32893416 PMCID: PMC7891368 DOI: 10.1002/jgc4.1323] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Revised: 07/23/2020] [Accepted: 07/29/2020] [Indexed: 12/12/2022]
Abstract
The genetics care pathway experienced by families affected by autism spectrum disorder (ASD) around the time of diagnosis is currently uncharacterized and potentially variable across contexts. The lack of consensus on outcome measures to capture the impact of genetic services for these families shows a gap in understanding and optimizing this genetics care pathway. The Genetic Counseling Outcome Scale (GCOS‐24) is a validated outcome measure of clinical genetics services. The current study aims to adapt and validate the GCOS‐24 as an outcome measure in the context routine genetic testing in ASD and related conditions. Families seen for their child’s developmental evaluation for ASD and related conditions were invited to participate in a genomics cohort between 2016 and 2018. Families (n = 111) completed the mGCOS‐24 (modified GCOS‐24), adapted from the original GCOS‐24 by clinicians working in the target population’s routine care pathway. The mGCOS‐24 has acceptable internal consistency (Cronbach’s α = 0.84) and high test–retest reliability (ICC = 0.88). It also inversely correlates with stress as measured by Perceived Stress Scale (PSS‐10) and distress, as measured by the Distress Thermometer, rs ≥ 0.39, ps < 0.001. The mGCOS‐24 had adequate readability, as supported by cognitive interviews completed by a sub‐sample of five mothers of a child with ASD. Together, our findings show that the mGCOS‐24 has good validity for the target population. Preliminary characterization of the genetics care pathway in this population revealed remarkable variability in pre‐test counseling and limited post‐test counseling. The use of the mGCOS‐24 as an outcome measure is useful in filling some of these gaps by offering a way to assess, and in the future, optimize the genetics care pathway for families affected by autism and related neurodevelopmental conditions.
Collapse
Affiliation(s)
- Afiqah Yusuf
- Azrieli Centre for Autism Research, Montreal Neurological Institute‐HospitalMcGill UniversityMontrealQCCanada
- Research‐Institute of the McGill University Health CentreMontrealQCCanada
| | - Iskra Peltekova
- Azrieli Centre for Autism Research, Montreal Neurological Institute‐HospitalMcGill UniversityMontrealQCCanada
- Research‐Institute of the McGill University Health CentreMontrealQCCanada
| | - Tal Savion‐Lemieux
- Research‐Institute of the McGill University Health CentreMontrealQCCanada
| | - Jennifer Frei
- Research‐Institute of the McGill University Health CentreMontrealQCCanada
| | - Ridha Joober
- Department of PsychiatryMcGill UniversityMontrealQCCanada
- Douglas Mental Health University InstituteMontrealQCCanada
| | - Jennifer Howe
- The Centre for Applied GenomicsHospital for Sick ChildrenTorontoONCanada
| | - Stephen W. Scherer
- The Centre for Applied GenomicsHospital for Sick ChildrenTorontoONCanada
- McLaughlin Centre and Department of Molecular GeneticsUniversity of TorontoTorontoONCanada
| | - Mayada Elsabbagh
- Azrieli Centre for Autism Research, Montreal Neurological Institute‐HospitalMcGill UniversityMontrealQCCanada
- Research‐Institute of the McGill University Health CentreMontrealQCCanada
| |
Collapse
|