AoU Research Priorities Use Cases

Estimate risk for common disease such as diabetes from genetic factors, dietary habits, and geolocalization data

Estimate risk for common disease or health outcomes based on known genetic factors combined with novel environmental data types such as proximity to food sources and pollution and laboratory measures of pollutant exposure, for example, what is the relative risk of genetic factors for diabetes compared to dietary habits and proximity to grocery stores?

The remaining questions allow you to outline in more detail the information needed to address your research question. The series of questions allow up to five entries. If you have more than five entries, please try to prioritize them and enter the remainder in the final field. When done, click Submit at the bottom. Yes

Select your required Data Item #1, which is most important to your study. This would be an item that needs to be generated and collected from different sources using various procedures, tools, techniques, assays, etc. If not in the current selection, please enter it in the textbox below. History, health

By what method will Data Item #1 be obtained? This may Include procedures, tools, techniques, assays, and analytical approaches for the collection, measurement, or analysis of data. If you do not find the required method, you may enter it in the textbox below. Electronic Health Records (EHR)

Are there specifications that apply to the method by which Data Item #1 will be obtained, e.g., is the measurement taken once a year, every month, or some other variation? If you do not find your specification in the dropdown, you may enter it in the textbox below. Continuous monitoring

Data Item #2 Hemoglobin A1C (HbA1C)

Method #2 Blood test

Specification #2 At specified times anchored to the clinical event

Data Item #3 Geocode

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Idea No. 836