(@pnatarajan)

AoU Research Priorities Use Cases

How do environmental exposures, behavior, & genetics, in combination, influence risk of atherosclerotic cardiovascular disease.

Genetics can be the earlier risk predictor of common, heritable traits such as atherosclerotic cardiovascular disease (ASCVD). Longitudinal environmental exposures and behavioral practices subsequently modify risk. Uniform dense ascertainment of environmental exposures and behavior is feasible through wearable sensors. We and others are beginning to look at the comprehensive set of exposures that influence ASCVD risk.... more »

Voting

12 votes
Ideate
(@renaissance)

AoU Research Priorities Use Cases

How reliably do epigenetic aging clocks predict disease onset and mortality? Can they be slowed or reversed?

An annual blood test with analysis of methylation sites from key epigenetic aging clocks (e.g. Horvath). Epigenetic aging clocks have already been shown to reliably predict age, time-to-death, all cause mortality, cog. function, immune function, CV disease, cancer, and more. They may also become a key tool to demonstrate the reversibility of disease risk through dietary and therapeutic regimens, as epigenetic states are... more »

Voting

35 votes
Ideate
(@renaissance)

AoU Research Priorities Use Cases

How reliably do epigenetic aging clocks predict disease onset and mortality? Can they be slowed or reversed?

An annual blood test with analysis of methylation sites from key epigenetic aging clocks (e.g. Horvath). Epigenetic aging clocks have already been shown to reliably predict age, time-to-death, all cause mortality, cog. function, immune function, CV disease, cancer, and more. They may also become a key tool to demonstrate the reversibility of disease risk through dietary and therapeutic regimens, as epigenetic states are... more »

Voting

35 votes
Ideate
(@wye000)

AoU Research Priorities Use Cases

What is the long-term comparative effectiveness of empagliflozin in a heterogeneous population with type 2 diabetes?

Empaglifozin, a highly selective sodium-glucose cotransport 2 (SGLT2) inhibitor, has been shown to significantly reduce major adverse cardiovascular (CV) events and hospitalization for heart failure in patients with type 2 diabetes (T2DM) and established CV disease. The generalizability of this finding to lower risk population is unknown. We propose to compare cardiovascular outcomes in a more heterogeneous population... more »

Voting

3 votes
Ideate
(@wye000)

AoU Research Priorities Use Cases

What is the long-term comparative effectiveness of empagliflozin in a heterogeneous population with type 2 diabetes?

Empaglifozin, a highly selective sodium-glucose cotransport 2 (SGLT2) inhibitor, has been shown to significantly reduce major adverse cardiovascular (CV) events and hospitalization for heart failure in patients with type 2 diabetes (T2DM) and established CV disease. The generalizability of this finding to lower risk population is unknown. We propose to compare cardiovascular outcomes in a more heterogeneous population... more »

Voting

3 votes
Ideate
(@jenna.norton)

AoU Research Priorities Use Cases

Can inclusion of erectile dysfunction (ED) improve prediction of incident cardiovascular disease (CVD)?

Recent epidemiological evidence shows ED is associated with CVD, suggesting ED may be a prodrome of CVD. We proposed to assess associations between ED preceding CVD to confirm this association in the large and diverse All of Us cohort. Additionally, ED will be added to the existing Framingham risk prediction equation to determine if inclusion of ED improves the model.

Voting

7 votes
Ideate
(@jenna.norton)

AoU Research Priorities Use Cases

Can inclusion of erectile dysfunction (ED) improve prediction of incident cardiovascular disease (CVD)?

Recent epidemiological evidence shows ED is associated with CVD, suggesting ED may be a prodrome of CVD. We proposed to assess associations between ED preceding CVD to confirm this association in the large and diverse All of Us cohort. Additionally, ED will be added to the existing Framingham risk prediction equation to determine if inclusion of ED improves the model.

Voting

7 votes
Ideate
(@ginawei)

AoU Research Priorities Use Cases

Common trajectories of body mass index (BMI) across the lifespan and their differential impact on cardiovascular diseases

Following AoU participants for decades could uncover common trajectories of body mass index (BMI) across lifespan and their associations/impact on cardiovascular diseases (CVD). AoU’s size/diversity also enables precise measure of the associations by different subgroups (e.g., race, sex, social factors, presence of multiple risk factors). The findings could further shed light on optimal timing for initiating and/or intensifying... more »

Voting

16 votes
Ideate
(@ginawei)

AoU Research Priorities Use Cases

Common trajectories of body mass index (BMI) across the lifespan and their differential impact on cardiovascular diseases

Following AoU participants for decades could uncover common trajectories of body mass index (BMI) across lifespan and their associations/impact on cardiovascular diseases (CVD). AoU’s size/diversity also enables precise measure of the associations by different subgroups (e.g., race, sex, social factors, presence of multiple risk factors). The findings could further shed light on optimal timing for initiating and/or intensifying... more »

Voting

16 votes
Ideate
(@ginawei)

AoU Research Priorities Use Cases

Common blood pressure (BP) trajectories across the lifespan and their impact on cardiovascular diseases

Following AoU participants for decades could uncover common trajectories of BP across lifespan and their associations/impact on cardiovascular diseases (CVD). AoU’s size/diversity also enables precise measure of the associations by different subgroups (e.g., race, sex, social factors, presence of multiple risk factors). This could lead to refined risk predictions for CVD and further shed light on optimal timing for initiating... more »

Voting

7 votes
Ideate
(@ginawei)

AoU Research Priorities Use Cases

Why are some people with multiple cardiovascular risk factors resilient against developing cardiovascular diseases?

People who smoke or have hypertension, diabetes, and hyperlipidemia are at increased risk of developing cardiovascular diseases (CVD). However, not all do, and it would be interesting to identify those with CVD risk factors but remain free of CVD. Studying these people phenotypically, genomically, environmentally, and molecularly (via -omics) could provide great insight into novel mechanisms by which new treatments... more »

Voting

13 votes
Ideate
(@ginawei)

AoU Research Priorities Use Cases

The association of cardiovascular risk factors on the development of vascular dementia

Recent findings from 15,744 black and white adults in the ARIC Cohort Study found that several cardiovascular (CV) risk factors in middle age (smoking, diabetes, prehypertension & hypertension) are linked to higher risk of dementia later in life, and that blacks have higher rates of dementia v. whites. AoU offers ability to evaluate differential associations of specific CV risk factors, & their interactions with other... more »

Voting

12 votes
Ideate
(@ginawei)

AoU Research Priorities Use Cases

The association of cardiovascular risk factors on the development of vascular dementia

Recent findings from 15,744 black and white adults in the ARIC Cohort Study found that several cardiovascular (CV) risk factors in middle age (smoking, diabetes, prehypertension & hypertension) are linked to higher risk of dementia later in life, and that blacks have higher rates of dementia v. whites. AoU offers ability to evaluate differential associations of specific CV risk factors, & their interactions with other... more »

Voting

12 votes
Ideate
(@ginawei)

AoU Research Priorities Use Cases

Develop more accurate and clinically relevant sub-classification/phenotyping of heart failure

Heart failure (HF), though relatively common in U.S. adults, can be thought of as a syndrome with many subtypes that require different treatments. All of Us provides a rich platform on which to collect more data (e.g., novel biomarkers and imaging studies) on HF patients. This, coupled with AoU’s existing rich genomics, behavioral, and clinical data, can be analyzed to refine the phenotyping and sub-classification of... more »

Voting

9 votes
Ideate
(@ginawei)

AoU Research Priorities Use Cases

Develop more accurate and clinically relevant sub-classification/phenotyping of heart failure

Heart failure (HF), though relatively common in U.S. adults, can be thought of as a syndrome with many subtypes that require different treatments. All of Us provides a rich platform on which to collect more data (e.g., novel biomarkers and imaging studies) on HF patients. This, coupled with AoU’s existing rich genomics, behavioral, and clinical data, can be analyzed to refine the phenotyping and sub-classification of... more »

Voting

9 votes
Ideate