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Detecting potential pleiotropy across cardiovascular and neurological diseases using univariate, bivariate, and multivariate methods on 43, 870 individuals from the eMERGE network.

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Detecting potential pleiotropy across cardiovascular and neurological diseases using univariate, bivariate, and multivariate methods on 43, 870 individuals from the eMERGE network., , , , , , , , , and 14 other author(s). PSB, page 272-283. (2019)Application of clinical text data for phenome-wide association studies (PheWASs)., , , , , and . Bioinform., 31 (12): 1981-1987 (2015)High-Throughput Approach to Modeling Healthcare Costs Using Electronic Healthcare Records., , , , and . CoRR, (2020)Medical Big Data Analysis System to Discover Associations between Genetic Variants and Diseases., , , , , , and . ICC, page 1-6. IEEE, (2021)E-Pedigrees: a large-scale automatic family pedigree prediction application., , , , , , and . Bioinform., 37 (21): 3966-3968 (2021)The All of Us Research Program: Data quality, utility, and diversity., , , , , , , , , and 38 other author(s). Patterns, 3 (8): 100570 (2022)Applying family analyses to electronic health records to facilitate genetic research., , , , , , , , and . Bioinform., 34 (4): 635-642 (2018)Use of Electronic Health Record to Predict Family Relationships for Phenome-wide Research., , , , , , and . AMIA, AMIA, (2018)