Luke V. Rasmussen

Systematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study data

Joshua C. Denny, Lisa Bastarache, Marylyn D. Ritchie et al. · Nature Biotechnology · 2013 · 1.1K citations · Full text

Genome-wide Association Study, Health Informatics, Genotype-phenotype Association +12

Validation of electronic medical record-based phenotyping algorithms: results and lessons learned from the eMERGE network

Katherine M. Newton, Peggy Peissig, A. N. Kho et al. · Journal of the American Medical Informatics Association · 2013 · 408 citations · Full text

Quality Control Procedures for Genome‐Wide Association Studies

Stephen Turner, Loren L. Armstrong, Yuki Bradford et al. · Current Protocols in Human Genetics · 2011 · 370 citations

Genetics, Genetic Epidemiology, Genomics +17

PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportability

Jacqueline Kirby, Peter Speltz, Luke V. Rasmussen et al. · Journal of the American Medical Informatics Association · 2016 · 362 citations · Full text

Electronic Medical Records for Genetic Research: Results of the eMERGE Consortium

Abel Kho, Jennifer A. Pacheco, Peggy Peissig et al. · Science Translational Medicine · 2011 · 350 citations