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The goal of this observational study is to 1) better understand and predict biological processes before disease begins or is identified, 2) study genomic and environmental contributors to disease, 3) identify ways to stop disease advancement before it becomes serious or complex, and 4) identify potential targets for disease therapy.
Participants will be asked to:
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Suspected Genetic Predisposition or Multi-Omics Contribution | Patients with a diagnosis or phenotype with the potential for association with a genetic predisposition or Multi-Omics Contribution | ||
| Health Control | Patients with no diagnosis associated with a genetic predisposition or Multi-Omics Contribution. |
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| Measure | Description | Time Frame |
|---|---|---|
| Build a comprehensive, multi-omics and phenotype dataset | Up to 5 years |
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Inclusion Criteria:
Exclusion Criteria:
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Mayo Clinic patients
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| Name | Affiliation | Role |
|---|---|---|
| Konstantinos N. Lazaridis, M.D. | Mayo Clinic | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Mayo Clinic in Rochester | Rochester | Minnesota | 55905 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 16906051 | Background | Thomas DC. High-volume "-omics" technologies and the future of molecular epidemiology. Epidemiology. 2006 Sep;17(5):490-1. doi: 10.1097/01.ede.0000229950.29674.68. No abstract available. | |
| 18441400 | Background | Ramos RG, Olden K. Gene-environment interactions in the development of complex disease phenotypes. Int J Environ Res Public Health. 2008 Mar;5(1):4-11. doi: 10.3390/ijerph5010004. |
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| ID | Term |
|---|---|
| D020022 | Genetic Predisposition to Disease |
| ID | Term |
|---|---|
| D004198 | Disease Susceptibility |
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
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Saliva, stool, urine, blood.
| 16103423 | Background | Wild CP. Complementing the genome with an "exposome": the outstanding challenge of environmental exposure measurement in molecular epidemiology. Cancer Epidemiol Biomarkers Prev. 2005 Aug;14(8):1847-50. doi: 10.1158/1055-9965.EPI-05-0456. No abstract available. |