Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
1000 participants
OBSERVATIONAL
2018-02-20
2070-03-31
Brief Summary
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Detailed Description
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As part of this effort, Nicklaus Children's Hospital plans to create a large integrated database that contains the DNA sequences of the participants' whole human genomes and additional health information regarding characteristics and health of the persons whose samples have been sequenced. Scientists can then use the database to try to link those traits, diseases, and other conditions to changes in the sequence of the genome. Nicklaus Children's Hospital plans to make the database available to its collaborators, such as RCIGM, pharmaceutical and biotechnology companies, and other academic institutions which will use the database to find better, innovative ways to prevent, diagnose, and treat cancer and other diseases. De-identified data from this study will be shared with the community at-large, including publications and public databases. In addition, participants will be given the option to allow biospecimens (i.e., residual blood, saliva, CSF, etc.) to be included in biorepositories at Nicklaus Children's Hospital and Rady Pediatric Genomics \& Systems Medicine Institute (RCIGM).
The study will provide clinical laboratory-confirmed results related to the affected patient's phenotype, including optional incidental findings unless subjects opt-out for these additional results, to allow for these research findings to be used in clinical care. Furthermore, this study will aggregate data regarding standard clinical genetic testing as well as cost measures to not only identify differences in diagnostic rates, diagnostic accuracy, and times to diagnoses, but to determine the cost-effectiveness of this testing and subsequent changes in care management. Clinical utility will be defined as changes in care that follow directly from results of genetic testing (both positive and negative), including standard clinical tests and WGS. This data will be used to further examine the analytic, diagnostic, and clinical utility and cost-effectiveness of this testing.
WGS methods continue to improve and pediatric genomic medicine is a very new field of medical practice. This study will also inform investigators regarding best practices, both in terms of traditional medical outcomes and patient-centered outcomes. Consequently, this study will also act as a biorepository for samples and data as the ability to share genomic and phenotypic data amongst researchers is critical to progressing our understanding of the nascent field of pediatric genomic medicine.
Specific Aims:
1. Use WGS to identify new genetic diagnoses in children with multiple congenital anomalies, developmental delay, autism, seizures, intellectual disabilities, neurodegenerative disorders, and metabolic illness.
2. Evaluate the diagnosis rate of genetic diseases by WGS in previously undiagnosed patients.
3. Assess the clinical utility of WGS in the care and management of patients.
4. Examine the health economics and cost-effectiveness of WGS.
5. Evaluate the provider, patient and family experience with genomic medicine
6. Collect biological samples and associated clinical data from pediatric patients who may have a genetic disease and their family members (the "Phenome").
7. Create, analyze and store genomic data from the biological samples. Genomic data will include genomic (gDNA) sequences, RNA sequences, and/or other related 'omic data (including, but not limited to, pharmacogenomics, transcriptomics, and epigenomics). Genomic data from WGS will include single nucleotide variants (SNVs), structural variants such as copy number testing, genomic rearrangements, gene expression , the "whole transcriptome" or more limited DNA sequencing panels of specific genes or of all exons of genes (the "Exome").
8. Analyze and report clinically-confirmed genomic diagnoses and treatment guidance through use of new research technologies.
9. Identify and study novel gene and disease processes.
Conditions
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Study Design
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FAMILY_BASED
PROSPECTIVE
Study Groups
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Genetic Enrollees
Enrollment of patients for whom WGS may be beneficial. Patients who are ill and for whom a genetic diagnosis is suspected but not yet established.
Genetic Enrollees
Identification of new genetic diagnoses in children with multiple congenital anomalies, developmental delay, autism, seizures, intellectual disabilities, neurodegenerative disorders and metabolic illness. Samples and data will be stored in a pediatric biorepository. A subset of samples will undergo genetic/genomic analysis.
Interventions
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Genetic Enrollees
Identification of new genetic diagnoses in children with multiple congenital anomalies, developmental delay, autism, seizures, intellectual disabilities, neurodegenerative disorders and metabolic illness. Samples and data will be stored in a pediatric biorepository. A subset of samples will undergo genetic/genomic analysis.
Eligibility Criteria
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Inclusion Criteria
* Willingness of referring provider or other qualified medical staff member to participate in this study by facilitating collection of biologic specimens and clinical information.
* Patient whose medical condition can be reasonably attributed to a possible genetic etiology.
* Patient have had at least one diagnostic test without a definite diagnosis.
Exclusion Criteria
* Affected adults (\>21 years of age), unless they are a biological relative of the affected child.
* Any patient whose medical condition cannot be reasonably attributed to a possible genetic etiology or there is a prior diagnosis that explains the child's clinical presentation.
21 Years
ALL
No
Sponsors
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Rady Pediatric Genomics & Systems Medicine Institute
OTHER
Nicklaus Children's Hospital f/k/a Miami Children's Hospital
OTHER
Responsible Party
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Principal Investigators
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Parul Jayakar, MD
Role: PRINCIPAL_INVESTIGATOR
Nicklaus Children's Hospital
Locations
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Nickalus Children's Hospital f/k/a Miami Children's Hospital
Miami, Florida, United States
Countries
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Central Contacts
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Facility Contacts
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References
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McCandless SE, Brunger JW, Cassidy SB. The burden of genetic disease on inpatient care in a children's hospital. Am J Hum Genet. 2004 Jan;74(1):121-7. doi: 10.1086/381053. Epub 2003 Dec 12.
Sawyer SL, Hartley T, Dyment DA, Beaulieu CL, Schwartzentruber J, Smith A, Bedford HM, Bernard G, Bernier FP, Brais B, Bulman DE, Warman Chardon J, Chitayat D, Deladoey J, Fernandez BA, Frosk P, Geraghty MT, Gerull B, Gibson W, Gow RM, Graham GE, Green JS, Heon E, Horvath G, Innes AM, Jabado N, Kim RH, Koenekoop RK, Khan A, Lehmann OJ, Mendoza-Londono R, Michaud JL, Nikkel SM, Penney LS, Polychronakos C, Richer J, Rouleau GA, Samuels ME, Siu VM, Suchowersky O, Tarnopolsky MA, Yoon G, Zahir FR; FORGE Canada Consortium; Care4Rare Canada Consortium; Majewski J, Boycott KM. Utility of whole-exome sequencing for those near the end of the diagnostic odyssey: time to address gaps in care. Clin Genet. 2016 Mar;89(3):275-84. doi: 10.1111/cge.12654. Epub 2015 Sep 22.
Other Identifiers
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(WGS) Protocol #20172859
Identifier Type: -
Identifier Source: org_study_id
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