AoU Research Priorities Use Cases

Using big data to understand the basis of individual differences in response to environmental exposures

Some individuals are more susceptible or resistant to the health effects of certain environmental exposure for unknown reasons. It is likely that a combination of elements, such as genetic variation, microbiome differences, life stage, or the combined impact of multiple factors (such as diet) contribute to these differences. Mapping the multiple interactions between exposure and response requires the unprecedented power afforded by the AoU cohort.

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. No

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. Environmental exposure

If you did not find your method for obtaining Data Item #1 in the dropdown selection above, please enter it here. untargeted analysis using broad spectrum metabolomics approaches; targeted analysis of specific chemcials such as endocrine disrupting compounds in blood and urine

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. Once per year

Data Item #2 Genome

Method #2 Whole Genome Sequencing (WGS)

Specification #2 Once

Data Item #3 Bilirubin (direct)

If Data Item #3 was not in the dropdown, please enter it here Gut microbiome

If Method #3 was not in the dropdown, please enter it here 16S genome sequencing of stool samples

Specification #3 Quarterly

If Data Item #4 was not in the dropdown, please enter it here Health and Phenotype data

Method #4 Electronic Health Records (EHR)

Specification #4 Once per year

Data Item #5 Diet

Method #5 Survey

Specification #5 At specified times anchored to the clinical event

If you have more than five data items, you may enter them here.

Other 'omic analyses including DNA methylation, proteomics, transcriptomics

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Idea No. 681