The convergence of two rapidly developing technologies-high-throughput genotyping and
electronic health records (EHRs)-gives scientists an unprecedented opportunity to utilize …

Beginning in the early 2000s, the accumulation of biospecimens linked to electronic health
records (EHRs) made possible genome-phenome studies (ie, comparative analyses of …

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

Clinical data describing the phenotypes and treatment of patients represents an underused
data source that has much greater research potential than is currently realized. Mining of …

The combination of improved genomic analysis methods, decreasing genotyping costs, and
increasing computing resources has led to an explosion of clinical genomic knowledge in …

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 …

Electronic health records (EHRs) are a rich source of data for researchers, but extracting
meaningful information out of this highly complex data source is challenging. Phecodes …

The combination of electronic health records (EHRs) with genetic data has ushered in the
next wave of complex disease genetics. Population-based biobanks and other large cohorts …

Integration of detailed phenotype information with genetic data is well established to
facilitate accurate diagnosis of hereditary disorders. As a rich source of phenotype …

Objective The combination of phenomic data from electronic health records (EHR) and
clinical data repositories with dense biological data has enabled genomic and …