Goal 2: Reduce Human Disease

Precision medicine in non-malignant lung diseases

NIH has a major initiative in Precision Medicine, including whole genome sequencing. In contrast to cancer, mutations with large clinical effects are expected to be uncommon in most non-malignant chronic diseases, such as asthma and COPD. Other data types such as gene expression, biomarkers, and micro RNAs must be combined with clinical and imaging phenotyping to advance Precision medicine in non-malignant lung diseases. ...more »

Submitted by (@craighersh)

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Goal 3: Advance Translational Research

Translational Bioinformatics Spanning Multiple Scales of Biologic Complexity to Implement Precision Pulmonary Medicine at the Po

What translational bioinformatics tools could be used in pulmonary medicine to allow multidimensional, multi-scale modeling of clinical and biomolecular data to assist clinical decision-making?

Submitted by (@nhlbiforumadministrator)

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Goal 2: Reduce Human Disease

Consequences of drug interactions leading to QTc prolongation

Better understand the consequences of drug interactions leading to QTc prolongation. About 1/3 of cardiac ICU patients develop QT prolongation and about 45% receive drugs that are possibly contributing to this problem. The full spectrum of contributors and causes, as well as the patient-centered and health-system-centered clinical outcomes, are not known.

Submitted by (@greg.martin)

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Goal 2: Reduce Human Disease

The importance of cosidering sex and gender in presicion medicine

Precision medicine will be invested in across NIH, as per the President's "Precision Medicine Initiative". It is critical that the population base be reflective of the US population, including 50% women. Gender, especially as it relates to exposures, must be a dominant consideration, as these factors are critical to the development of human disease and therefore will be important to prevention.

Submitted by (@pajohnson)

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Goal 3: Advance Translational Research

Use isogenic iPS cells to advance Precision Medicine

The goals of Precision Medicine can be achieved if we determine the biological basis of disease-associated variants for NHLBI diseases. Advances in genetic research have yielded hundreds of disease-associated DNA polymorphisms, yet we lack robust methods to experimentally test their functional relevance in human cells. Determining the molecular and cellular basis of human phenotypic variation is one of the great challenges ...more »

Submitted by (@bconklin)

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Goal 2: Reduce Human Disease

Bringing Personalized Biochemistry and Biophysics to Bear on Problems of Personalized Heart, Lung and Blood Medicine

Precision medicine will provide unprecedented opportunities to tailor health care based on knowledge of personal patterns of genetic variations. These variations usually impact protein or RNA sequences, resulting in altered properties. These alterations can result in increased susceptibility to a particular disease or intolerance to common therapeutics. To take full advantage of knowing a patient’s set of gene variations, ...more »

Submitted by (@chuck.sanders)

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Goal 3: Advance Translational Research

Durable gene activity map at the individual level

A durable gene activity map of the individual to understand when certain gene sets are on vs off or dysfunctional over an individual’s lifetime as one way of guiding the precision of medicine for that patient. It would need to be person portable and universally exportable and interpretable across all of the EHRs.

Submitted by (@greg.martin)

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Goal 2: Reduce Human Disease

Balancing Risks and Benefits: How Do Clinical Guidelines in Cardiovascular Medicine Promote the Health of an Individual?

Much of the hopes for precision medicine (as outlined Dr. Dr. Collins) are based on deriving large amounts of genomic, proteomic, epigenomic and metabolomic data on large cohorts of patients. It will take decades to build these cohorts and even more time to analyze them and derive specific conclusions on how these will help individualize treatments. However, there is a pressing need for how to individualize contemporary ...more »

Submitted by (@jalees)

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Goal 1: Promote Human Health

Predictive analytics to engage healthy behaviors and maintain health while reducing cost

Predictive Health employs the principle that using modern health testing and predictive analytics will better define true health (not just absence of disease) and, in combination with large-scale data analytics, will facilitate predicting deviations from the healthy trajectory earlier than traditional disease diagnosis, thus allowing more effective and less costly interventions to maintain health. Predictive Health educates ...more »

Submitted by (@greg.martin)

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