Global Biobank Meta-analysis Initiative: Powering genetic discovery across human disease
The Global Biobank Meta-analysis Initiative is a collaborative network of 23 biobanks, representing more than 2.2M consented participants with genetic data linked to electronic health records. This collaborative effort will improve genome-wide association studies’ power for diseases, benefit understudied diseases, and improve risk prediction.
Polygenic risk scores predict diabetes complications and their response to intensive blood pressure and glucose control
This study assessed whether cardiovascular and renal risk factors combined with the age of onset and duration of diabetes are sufficient predictors of type 2 diabetes. Of the 21,702 participants, 488 participants with type 2 diabetes originated from CanPath. The researchers developed a prediction model to help identify high-risk individuals who could benefit from therapies and treatments.