Duke CAGPM has resources available for researchers interested in conducting their own research. We also have established ongoing research programs in several areas for researchers interested in collaborating.


Digital Health
Wireless and mobile technologies provide an opportunity to connect information in the real-world via wearable sensors and, when coupled with fixed sensors embedded in the environment, to produce continuous streams of data on an individual's biology, psychology, behavior and daily environment.

Risk Assessment
Health assessment tools can help you and your provider better understand and quantify your risk for specific diseases and establish goals and strategies for better health.

Implementation Science
The NIH definition of implementation science is the study of “strategies to adopt and integrate evidence-based health interventions and change practice patterns within specific settings.” It answers questions such as, “Why do evidence-based interventions lose effectiveness over time in real-world settings?” and “How do interventions need to be applied to various settings to maintain effectiveness?” 

​Pharmacogenomics is the study of genetic differences in enzymes, drug transporters and other proteins associated with drug metabolism, which can affect individual responses to drugs in terms of therapeutic effect as well as adverse effects.

Systems Pharmacogenomics
Systems pharmacogenomics integrates the science of systems biology with pharmacology, in an effort to gain, at a systems level, “how drugs work.” The product of this work is to be able to identify on- and off-target mechanisms for drug action, variation in drug response, adverse drug effects, and reposition drug for novel indications.

Cancer is one of the most high profile areas to benefit from genomic medicine. From assessing risk of hereditary cancer to profiling tumors to inform treatment, precision medicine is impacting cancer care.

Clinical Whole Genome Sequencing
Next-generation whole-genome sequencing is increasingly being used in the clinical setting, and as costs continue to decline, it may become a routine part of health care. Early applications of the technology include solving undiagnosed genetic diseases, which may present as diagnostic dilemmas usually in children or in the neonatal setting.

Genetics of Normal Human Variation
While much human genetics research has focused on understanding diseases, relatively little attention has been paid to non-disease traits with clear impact on the lives of healthy people, despite the insights into human biology that would come from understanding their genetic control. Some such traits, like endophenotypes, are relevant to disease, but many of those not known to be directly related to disease still impact individual lives, are of tremendous biological interest and may provide insights into diseases.

Infectious Disease
The Infectious Disease Genomics team is focused discovering and developing host-response markers to rapidly and accurately diagnose and predict health and disease states. Synergy between multi-disciplinary experts is crucial to tackle the threats posed by infectious diseases and the rise in antimicrobial resistance; potential collaborators are encouraged to contact us.