Accurate prediction of disease risk based on the genetic make-up of an individual is
essential for effective prevention and personalized treatment. Nevertheless, to date …

Technologies such as next-generation sequencing and chromosomal microarray have
advanced the understanding of the molecular pathogenesis of a variety of renal disorders …

Purpose Assessing the risk of common, complex diseases requires consideration of clinical
risk factors as well as monogenic and polygenic risks, which in turn may be reflected in …

Because polygenic risk scores (PRSs) for coronary heart disease (CHD) are derived from
mainly European ancestry (EA) cohorts, their validity in African ancestry (AA) and Hispanic …

Electronic health records contain patient‐level data collected during and for clinical care.
Data within the electronic health record include diagnostic billing codes, procedure codes …

Electronic health records (EHRs) have become increasingly relied upon as a source for
biomedical research. One important research application of EHRs is the identification of …

Abstract The Electronic Medical Records and Genomics (eMERGE) network is a network of
medical centers with electronic medical records linked to existing biorepository samples for …

Recent advances in genomic technology and widespread adoption of electronic health
records (EHRs) have accelerated the development of genomic medicine, bringing promising …

Abstract Machine learning (ML) models trained for triggering clinical decision support (CDS)
are typically either accurate or interpretable but not both. Scaling CDS to the panoply of …

Genome-wide association studies (GWAS) revolutionized our understanding of common
genetic variation and its impact on common human disease and traits. Developed and …