Genomic data for more than 125,000 individuals uncovered type 2 diabetes risk variants, many appearing at loci identified through common variant association studies.
The researchers plan to use the award to improve upon existing approaches to analysis of longitudinal proteomics data in the context of type I diabetes.
In the study, the partners will perform exome sequencing and whole-genome array genotyping on more than 9,000 individuals with diabetes or with diabetic relatives.
The portal offers access to genotype, phenotype, and clinical data related to type 2 diabetes as well as computational tools for querying the information.
Initially studying pancreatic tissue, the team also linked their findings to methylation patterns in blood, suggesting the possibility of developing a non-invasive test.
