The widespread adoption of electronic health record (EHRs) in healthcare systems has
created a vast and continuously growing resource of clinical data and provides new …

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 …

An unprecedented amount of clinical information is now available via electronic health
records (EHRs). These massive data sets have stimulated opportunities to adapt …

Electronic Health Records (EHR) are a rich repository of valuable clinical information that
exist in primary and secondary care databases. In order to utilize EHRs for medical …

Background In over half of pediatric cases, ADHD presents with comorbidities, and often, it is
unclear whether the symptoms causing impairment are due to the comorbidity or the …

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

Psychiatric disorders differ from other complex phenotypes in their lack of objectively
assessable biological markers that contribute to the establishment of a research diagnosis …

Abstract The use of Electronic Health Records (EHR) for translational research can be
challenging due to difficulty in extracting accurate disease phenotype data. Historically, EHR …

Twin and family studies have shown the importance of biological variation in psychiatric
disorders. Heritability estimates vary from 50% to 80% for cognitive disorders, such as …

Endophenotypes are measurable biomarkers that are correlated with an illness, at least in
part, because of shared underlying genetic influences. Endophenotypes may improve our …