Type 2 diabetes (T2D) and obesity are metabolic conditions with many causes, including overlapping and distinct genetic features. A polygenic risk score (PRS) can capture multiple genetic risk factors to provide an estimate for whether a person may develop a complex medical condition and how they might fare long-term.
Building stronger genetic risk scores
By integrating genetic findings from several of the world’s largest biobanks, investigators from Mass General Brigham built metabolic PRSs for predicting obesity and T2D, which outperformed existing disease-prediction models and predicted downstream morbidity and clinical interventions. Findings are published in Cell Metabolism.
“Our intention was to not only capture the risk of being diagnosed ...
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