Researchers say they’ve identified 3 type 2 diabetes subtypes

Medical data routinely gathered from millions of patients can be used to detect previously unseen patterns in chronic diseases such as type 2 diabetes, a new study suggests. As a result, researchers say they’ve identified three distinct subgroups of type 2 diabetics by combing through the health records of more than 11,000 patients. Each of the subgroups faces unique health problems related to type 2 diabetes, and shares common genetic traits that can explain those challenges, said senior study author Joel Dudley

Medical data routinely gathered from millions of patients can be used to detect previously unseen patterns in chronic diseases such as type 2 diabetes, a new study suggests. As a result, researchers say they’ve identified three distinct subgroups of type 2 diabetics by combing through the health records of more than 11,000 patients. Each of the subgroups faces unique health problems related to type 2 diabetes, and shares common genetic traits that can explain those challenges, said senior study author Joel Dudley

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Researchers say they’ve identified 3 type 2 diabetes subtypes

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