Li Li

The paper evaluates a comprehensive pan-ethnic carrier screening panel across 282 monogenic diseases in 397,540 patients, showing it identifies 10-times more at-risk carrier couples than a two-gene panel and provides cost savings.

This study identifies drug-comorbidity interactions in T2D using EMR data and genetic validation, finding protective effects of certain drugs against comorbidities.

The paper uses machine learning on electronic medical records to identify comorbidities and medications associated with Lyme disease and its treatment outcomes.

The paper uses next-of-kin data from electronic health records to estimate heritability for 500 disease phenotypes, finding results consistent with existing literature.