Researchers are building a database of DNA sequence, functional and
epigenomic information, and clinical data from studies on type 2 diabetes and its macro - and microvascular complications, and creating analytic tools to analyze these data.
Not exact matches
Genetic data combined with
information on gene expression and
epigenomics in relevant tissues, and clinical
information, can provide clues about the effects of genetic changes within an individual's genome that increase or decrease one's risk of developing type 2 diabetes and its complications, including heart and kidney disease.
Called the Center for
Epigenomics of the Mouse Brain Atlas (CEMBA), the project involves collecting
information from more than 100 regions of the mouse brain, and linking them to features believed to be common to mammalian nervous systems in general.