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
500 participants
OBSERVATIONAL
2021-07-16
2030-10-31
Brief Summary
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Detailed Description
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This study is the research arm of the UW Undiagnosed Disease program (UW-UDP). The primary objective of this study is to discover new disease genes and expand the known phenotypes of rare Mendelian disorders. The secondary objectives are: a) Diagnose individuals with genetic disorders who have not been diagnosed using conventional clinical means and provide them with actionable knowledge to manage their disorders; b) Improve our understanding of the pathobiology of genetic disorders and the relationships between genomic variation and disease; and c) Develop and trial novel diagnostic technologies and analytics.
These objectives will be achieved through three aims:
Aim 1: Identify candidate disease variants in individuals suspected of an undiagnosed genetic disorder through the use of trio short read genome sequencing and data sharing with the rare disease databases GeneMatcher and MatchMaker Exchange.
Aim2: Further evaluate those individuals not diagnosed in Aim 1 by using novel 'omics technologies and bioinformatics algorithms. These approaches include a) ultra-long read de novo assembly-based genomic sequencing; b) RNA-Seq; c) epigenomics profiling, and d) conformational analysis of chromatin organization.
Aim 3: Provide functional assessments of selected candidate disease genes and genomic variants discovered in Aims 1 and 2 through collaborations with UW and external model organism researchers. These efforts will be facilitated through the use of a UW model organism researcher database that is linked to the Canadian Rare Diseases Models and Mechanisms Network database and an emerging global network of model organism researcher databases.
This research project is closely integrated with the UW-UDP's comprehensive clinical evaluations of undiagnosed patients. The standard clinical care component entails patient referral, collection and pre-visit assessment of medical records, and clinic visits for extensive phenotyping at the beginning of the study and for the return of results at the end of the study. The research workflow includes genome sequencing, data sharing with global disease gene discovery networks, and follow-up studies to determine causality of variants identified by genetic testing. This study will advance understanding of the pathobiology of genetic disease, improve clinical diagnostics, and aid in the diagnosis and management of individuals with previously undiagnosed rare disorders both within Wisconsin and beyond its borders.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Undiagnosed Disease Group
Blood or other relevant biological samples obtained from consenting research subjects will be banked and extracted for DNA and RNA.
Trio Whole Genome Sequencing and Participant-Specific Research
The initial evaluation begins with short-read genome sequencing of DNA extracted from blood of affected individual(s) and participating family members (The most common approach will be trio whole genome sequencing, which involves the affected child + their parents).
Additional evaluation may include: functional assessments, animal modeling, reverse phenotyping (may require an interim visit), epigenetic profiling, or clinical database matching through selective sharing of coded patient data with external collaborators (e.g., via Matchmaker Exchange and Phenome Central), long read genome sequencing, de novo genome assembly, RNA sequencing, and novel bioinformatics analyses
Interventions
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Trio Whole Genome Sequencing and Participant-Specific Research
The initial evaluation begins with short-read genome sequencing of DNA extracted from blood of affected individual(s) and participating family members (The most common approach will be trio whole genome sequencing, which involves the affected child + their parents).
Additional evaluation may include: functional assessments, animal modeling, reverse phenotyping (may require an interim visit), epigenetic profiling, or clinical database matching through selective sharing of coded patient data with external collaborators (e.g., via Matchmaker Exchange and Phenome Central), long read genome sequencing, de novo genome assembly, RNA sequencing, and novel bioinformatics analyses
Eligibility Criteria
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Inclusion Criteria
* The applicant has at least one objective finding that is likely to have an identifiable genetic etiology.
* The applicant likely has a currently undescribed/new genetic condition or a known genetic condition associated with a novel gene.
* The applicant/legal guardian agrees to the collection, storage and recurrent sharing of coded information and biomaterials for research and diagnostic purposes both within and outside of the University of Wisconsin-Undiagnosed Diseases Program (UW-UDP)
* The applicant/legal guardian agrees to receive secondary findings from genetic testing.
* The applicant/legal guardian has sufficient proficiency in English to understand the consent.
Exclusion Criteria
* A specific diagnosis is suspected and a standard clinical workup performed by the referring/primary care provider would be appropriate.
* The UW-UDP is unlikely to improve on the comprehensive workup the applicant has already received.
* The applicant's symptoms are likely multifactorial or due to a non-genetic cause.
100 Years
ALL
No
Sponsors
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University of Wisconsin Center for Human Genomics and Precision Medicine
UNKNOWN
University of Wisconsin, Madison
OTHER
Responsible Party
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Principal Investigators
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Bryn Webb, MD
Role: PRINCIPAL_INVESTIGATOR
University of Wisconsin, Madison
Locations
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University of Wisconsin School of Medicine and Public Health
Madison, Wisconsin, United States
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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SMPH
Identifier Type: OTHER
Identifier Source: secondary_id
Protocol Version 10/28/2024
Identifier Type: OTHER
Identifier Source: secondary_id
2020-0700
Identifier Type: -
Identifier Source: org_study_id
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