Genetic Predisposition Clinical Trial
Official title:
Mayo Clinic Tapestry 2.0: Applying Multi-Omics on Tapestry Participants for Scientific Discovery
Verified date | June 2024 |
Source | Mayo Clinic |
Contact | Blake Clermont |
Phone | 507-422-6373 |
tapestry2[@]mayo.edu | |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
The purpose of this study is to use multi-omics testing on samples collected from Mayo Clinic patients to build and expand on what has been learned about genomic data.
Status | Not yet recruiting |
Enrollment | 50000 |
Est. completion date | December 31, 2027 |
Est. primary completion date | December 31, 2027 |
Accepts healthy volunteers | |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: - Age = 18 years - Registered Mayo Clinic patient - Able to provide informed written consent - Able to receive mail and packages within a United States (US) state - Able to collect and ship samples within a US state Exclusion Criteria: - Active hematological cancer or history of a hematological cancer - Allogeneic Bone Marrow Transplant (e.g., samples from autologous bone marrow transplant recipients are acceptable if collected at least one month after transplant) - Other co-morbidity that, in physician's opinion, would interfere with patient's ability to participate in the study (e.g., reduced ability to comprehend, i.e., dementia, intellectual disability, etc.) |
Country | Name | City | State |
---|---|---|---|
United States | Mayo Clinic in Florida | Jacksonville | Florida |
United States | Mayo Clinic in Rochester | Rochester | Minnesota |
United States | Mayo Clinic in Arizona | Scottsdale | Arizona |
Lead Sponsor | Collaborator |
---|---|
Mayo Clinic |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Creation of a unique integrated asset of multi-omics data | A variety of patient cohorts will be ascertained throughout this study. Data will be made available to researchers to query correlations of disease states and clinical outcomes to multi-omics findings. These insights will be invaluable to creating omics-informed care plans in the future. Standard descriptive statistics approaches will be used for analysis. | Up to 5 years |
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