Combines codes from the International Classification of Diseases (ICD) system into distinct diseases or traits. Phecodes enables the identification of individuals with phenotypes as well as the definition of relevant control populations for each case through lists of individuals who have similar or potentially overlapping disease states. This repository can be downloaded as a CSV file and used to create phecode phenotype files.
Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA; Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, UK; Public Health and Intelligence SBU, National Services Scotland, Edinburgh, UK; Edinburgh Cancer Research Centre, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK; Medical Scientist Training Program, Vanderbilt University School of Medicine, Nashville, TN, USA; Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
Phecode funding source(s)
Supported by NIH grant R01 LM 010685, R01 HL133786 and AHA Scientist Development Grant 16SDG27490014, a CRUK Career Development Fellowship (C31250/ A22804), China Scholarship Council studentships, T32 GM007347 from the National Institute of General Medical Studies for the Vanderbilt Medical-Scientist Training Program, T15 LM007450 from the National Library of Medicine for the Vanderbilt Biomedical Informatics Training Program, and P50 GM115305 from the National Institute of General Medical Studies for PGRN.