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

Medicine, Bioinformatics, Biomedical Informatics +16

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 · 426 citations · Full text

Medicine, Biomedical Informatics, Health Informatics +15

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 · 386 citations · Full text

Medicine, Bioinformatics, Biomedical Informatics +15

Quality Control Procedures for Genome‐Wide Association Studies

Stephen Turner, Loren L. Armstrong, Yuki Bradford et al. · Current Protocols in Human Genetics · 2011 · 378 citations

Life Sciences, Bioinformatics, Genetics +14

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

Life Sciences, Biomedical Informatics, Genetics +13