The Brazilian Initiative on Precision Medicine (BIPMed) is an initiative of five Research Innovation and Dissemination Centers (RIDCs) supported by FAPESP:
- The Brazilian Research Institute for Neuroscience and Neurotechnology (BRAINN), coordinated by Dr. Fernando Cendes;
- Center for Computational Science and Engineering (CCES), coordinated by Dr. Munir Skaf;
- Center for Research in Cell Therapy (CTC), coordinated by Dr. Marco Antonio Zago;
- Center for Research on Inflammatory Diseases (CRID), coordinated by Dr. Fernando Queiroz Cunha.
- Obesity and Comorbidities Research Center (OCRC), coordinated by Dr. Licio Augusto Velloso;
Precision Medicine recently emerged as a concept in which scientific knowledge and technology will come together to provide the bases for medicine in the 21st century. It includes translational research, genomic medicine and personalized medicine and proposes a new level of integration of data in order to improve health care.
BIPMed is based on a software platform, built following the guidelines and principles of the Global Alliance for Genomics and Health (GAG4GH), and observing the responsible sharing of genomic and clinical data. This platform is the first of its kind in Latin America and aims to offer public access to genomic and phenotypic data. It is intended to be used by clinicians and scientists all over the world, to share and obtain information about various aspects of genomic medicine and human health, as well as to support dissemination and training in the areas of human molecular genetics, computational biology and others. BIPMed is the Brazilian Country Node of the The Human Variome Project (HVP). We believe BIPMed to be essential for the development of Precision Medicine in Brazil, allowing for significant advances in health care and health science research.
The database design follows the recommendations of the Human Genome Variation Society, in addition to the principles and guidelines of the Global Alliance for Genomics and Health for the ethical and responsible sharing of genomic and clinical information.