Author

Annapoorani Veerappan

Duke UniversityORCID 0000-0001-8502-9504Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:electronic health records· 1 Research Focus:fine-mapping· 1 Research Focus:GWAS / association mapping· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Abel KhoiD· 1 shared Andrew Cagan· 1 shared Andrew J. GawroniD· 1 shared David CarrelliD· 1 shared Erwin P. BöttingeriD· 1 shared Frederick T. J. LiniD· 1 shared Gerard C. TrompiD· 1 shared James G. Linneman· 1 shared

Activity by Year

2020-2020 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Abel KhoORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintJun 8, 2020

Multi-ancestry Genome- and Phenome-wide Association Studies of Diverticular Disease in Electronic Health Records with Natural Language Processing enriched phenotype algorithm

Yoonjung Yoonie Joo, Jennifer A. Pacheco, William K Thompson…·M. Geoffrey Hayes

This study uses NLP to identify diverticular disease from EHRs and performs GWAS and PheWAS across multiple ancestries to find genetic risk variants and clinical associations.

DOI 10.1101/2020.06.08.138735

humanelectronic health records

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