AoU Research Priorities Use Cases
Below are the research questions others have already entered. IdeaScale is temporarily closed, but you can read what has been submitted so far. When re-opened, you can leave a comment or vote for the ideas you like. At that time, you'll also be able to submit your own idea.
When you are ready to submit your own idea after IdeaScale is re-opened, click the "Submit New Idea" button in the top right corner. Moderators from our team will review your submission and then add it to the rest of the submitted research questions.
To review the All of Us Research Program's Policy on Posting in IdeaScale, please click here.
Acute exacerbation accounts for frequent and recurrent ER visits in children with asthma. Genetic susceptibility and interaction with factors such as infection/inflammation, exposure to environmental pollutants may contribute to acute decompensation. Predictive modeling using multiple data points including genetic variants, environmental exposure, and self monitored spirometry may help with early detection and intervention... more »
Cohort study will be done by recruiting mothers at their first year of giving birth to their baby. The intervention can be both health center oriented or home based physical exercise coaching. Weekly Edinburgh post Natal depression scale will be used to followup how their feelings and physical as well as emotional health is being improved. The result can be compared against previously conducted research on mother's or... more »
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?
Characterize phenotypes of participants with rare deleterious variants of unknown significance discovered by deep sequencing through available surveys and EHR data or through recontact with additional studies.
The goal of this study is to ascertain clinical implications of rare variants associated with rare disease such as autoimmune polyglandular syndrome type 1. Whole genome sequencing will discover variants known to cause disease, likely in individuals not carrying the diagnosis. Using existing phenotypes or potentially with recontact to participants physiological impact of variants on health and disease can be understood.... more »
The goal of this study is to ascertain clinical implications of rare genetic variants predicted to be deleterious discovered in individuals not carrying the diagnosis. Using existing phenotypes or potentially with recontact to participants physiological impact of variants on health and disease can be understood.
The goal of this study is to understand pharmacogenetic and other predictors of adverse effects of medications and therapeutic failure enabled by aggregation of claims data and pharmacy fill data from multiple sources over many years. For example, does treatment failure of proton pump inhibitors in genetic hypermetabolizers cause increased surgical procedures and how do drugs interact in patients treated with multiple... more »
The goal of this study is to understand if mobile technologies can contribute clinically meaningful metrics. By analyzing mobile technology over time and comparing to available clinical health records, supervised and unsupervised machine learning can be applied to understand potential of this technology in clinical care and outcomes.
The goal of this study is to use existing data such as billing codes and laboratory values to predict the presence of a genetic condition before it is diagnosed by traditional medical practice.
The goal of this study is to research underlying causes of health disparities using existing data and novel data sources for example is diagnosis and treatment of diabetes different across ethnic groups, does a1c vary by G6PD genotype and does follow up and a1c target differ by diversity standards.
The goal would be to examine how body fat, pre-pregnancy, and activity levels before and during pregnancy were related to pregnancy outcomes (e.g., miscarriage, full-term, low birthweight, etc.) in athletes with a normal or high BMI and normal ovulatory function; prior studies focus solely on BMI, which is often an inaccurate measure for athletes. All of Us should collect data on body fat preconception, physical activity... more »
Lipedema is an underdiagnosed or misdiagnosed Adipose Disorder that is often mistaken for Obesity or Lymphedema. It is estimated that 1 out of 9 adult females suffer from this fat disorder that is marked by an abnormal deposition of fat in the lower body that is resistant to diet and exercise. Research into the pathogenesis of Lipedema would lead to better diagnostic methods and treatment modalities. Genetics are thought... more »
Neighborhoods nominated for testing by underserved, understudied vulnerable persons with environmental injuries and illnesses including toxicant-induced loss of tolerance (TILT), multiple chemical sensitivities, toxicant-induced encephalopathies, myalgic encephalomyelitis (ME), CFS & asthma. Of particular concern on the neighborhood scale are pesticides and hydrophobic organic chemicals -- especially those emitted... more »
Circadian clock and/or sleep disruptions have been suggested associated with health and disease outcome. A systematic longitudinal follow up over lifespan is needed to understand the underlining mechanisms. All of Us project could provide such opportunity to evaluate the dynamic relationships of circadian clock and sleep with other multi-level factors, such as, lifestyle (diet, exercise and mental health) and behavior,... more »