New framework boosts the accuracy of disease risk prediction from genetic data

Investigators at Cedars-Sinai Health Sciences University have developed a computational framework to improve how genetic data is used to estimate an individual's inherited risk of developing conditions like Alzheimer's disease, type 2 diabetes, high blood pressure and breast cancer.

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