… Obviously, such resources must be in place before initiating a genomics–EHR project.
Initiatives such as Pharmacogenomics Knowledgebase and the related Clinical …

Candidate gene and genome-wide association studies (GWAS) have identified genetic variants
that modulate risk for human disease; many of these associations require further study to …

… Peggy L Peissig , Peggy L Peissig … Katherine M Newton, Peggy L Peissig, Abel Ngo Kho,
Suzette J Bielinski, Richard L Berg, Vidhu Choudhary, Melissa Basford, Christopher G Chute, …

Clinical data in electronic medical records (EMRs) are a potential source of longitudinal
clinical data for research. The Electronic Medical Records and Genomics Network (eMERGE) …

Objective Health care generated data have become an important source for clinical and
genomic research. Often, investigators create and iteratively refine phenotype algorithms to …

Objective: Genome-wide association studies (GWAS) require high specificity and large numbers
of subjects to identify genotype–phenotype correlations accurately. The aim of this study …

Rationale: Abdominal aortic aneurysm (AAA) is a complex disease with both genetic and
environmental risk factors. Together, 6 previously identified risk loci only explain a small …

Background Electronic health records (EHRs) are increasingly used for clinical and translational
research through the creation of phenotype algorithms. Currently, phenotype algorithms …

Objective: There is increasing interest in using electronic health records (EHRs) to identify
subjects for genomic association studies, due in part to the availability of large amounts of …

Objective: Phenotyping algorithms applied to electronic health record (EHR) data enable
investigators to identify large cohorts for clinical and genomic research. Algorithm development …