Showing 3 ideas for tag "multi-omic-integration"

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... more »

Voting

9 votes
Ideate

AoU Research Priorities Use Cases

Telomere length as a determinant of disease susceptibility

Telomere length may influence the interplay between the combined effects of the environment and stress responses. For instance, a combination between psychosocial stress, chemical exposures, and windows of susceptibility could lead to altered homeostasis (a new “normal”). Uncovering how timing, allostatic loads, and physiology combined contribute to disease development and progression could be better understood with... more »

Voting

8 votes
Ideate

AoU Research Priorities Use Cases

Identifying and understanding the genetic and epigenetic factors associated with disease

Combining genome-wide genetic/epigenetic variation and gene/protein expression with clinical, behavioral, imaging, environmental, and molecular data, in the large and diverse All of Us cohort will enhance our understanding of disease risk factors and subtypes, relevant biological processes, and targeted treatments. Methods involved include: genomic data generation, storage and sharing; data integration, visualization,... more »

Voting

2 votes
Ideate