Cancer
We believe our innovative genetic research can unlock solutions to how cancer is detected, treated, and even cured.
Computational Biology
Researchers at PNRI use computational biology to collaborate on some of the biggest questions in genetics. To understand the complex data involved in genetic research, our computational biologists create mathematical models to uncover connections within biological systems.
Diabetes
PNRI researchers are leaders in exploring what triggers and protects against Type 1 diabetes.
Genetic Variations
At PNRI, researchers are developing methods for predicting the consequences of genetic variations. Genetic variations are differences in DNA from person to person and not all differences are understood.
Metabolism
Scientists at PNRI want to better understand human metabolism and what happens when this chemical process malfunctions, causing diseases such as diabetes or inborn errors of metabolism.
Modifier Genes
PNRI scientists work to better understand how modifier genes keep people from developing a genetic disease. Modifier genes control how other genes are expressed. One simple example of this connection: A gene controls your eye color, while a modifier gene controls how bright that color is.
Technology Development
Developing new technologies to improve research is part of PNRI’s commitment to moving our work from the lab to the lives of people who will directly benefit.
Transposable Elements
Scientists at PNRI study transposons, also called transposable elements. Scientists have only recently learned that these parts of the human genome can impact disease. Our researchers are working to better understand the role transposons and the “dark genome” play in the development of genetic diseases.
Resilience
PNRI scientists explore how human resilience to disease holds answers to improving human health. Every day we are learning more about the human body’s genetic traits that protect from disease.
Evolution
By exploring the evolution of the human genome, PNRI researchers uncover new and unexpected pathways to health.
