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Contrasting Association Results Between Existing PheWAS Phenotype Definition Methods and Five Validated Electronic Phenotypes.

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Towards a phenome-wide catalog of human clinical traits impacted by genetic ancestry., , , , , , , and . BioData Min., (2015)Phenome-Wide Interaction Study (PheWIS) in Aids Clinical Trials Group Data (ACTG)., , , , , , and . PSB, page 57-68. (2016)Pathway analysis by randomization incorporating structure - PARIS: an update., , , , , , , and . Bioinform., 32 (15): 2361-2363 (2016)Synthesis-View: visualization and interpretation of SNP association results for multi-cohort, multi-phenotype data and meta-analysis., , , and . BioData Min., (2010)Visually integrating and exploring high throughput Phenome-Wide Association Study (PheWAS) results using PheWAS-View., , , and . BioData Min., (2012)Using BioBin to Explore Rare Variant Population Stratification., , , , and . Pacific Symposium on Biocomputing, page 332-343. World Scientific Publishing, (2013)Visual Integration of Results from a Large Dna Biobank (Biovu) Using Synthesis-View., , , , and . Pacific Symposium on Biocomputing, page 265-275. World Scientific Publishing, (2011)Integrating Clinical Laboratory Measures and ICD-9 Code Diagnoses in Phenome-Wide Association Studies., , , , , , , , , and 7 other author(s). PSB, page 168-179. (2016)Medical records-based chronic kidney disease phenotype for clinical care and "big data" observational and genetic studies., , , , , , , , , and 23 other author(s). npj Digit. Medicine, (2021)Contrasting Association Results Between Existing PheWAS Phenotype Definition Methods and Five Validated Electronic Phenotypes., , , , , , and . AMIA, AMIA, (2015)