Author

Andrew Cagan

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

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 J. GawroniD· 1 shared Annapoorani VeerappaniD· 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

Co-Author Collaboration Network

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

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, Laura J. Rasmussen‐Torvik, Luke V. Rasmussen, Frederick T. J. Lin, Mariza de Andrade, Kenneth M. Borthwick, Erwin P. Böttinger, Andrew Cagan, David Carrell, Joshua C. Denny, Stephen B. Ellis, Omri Gottesman, James G. Linneman, , 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.

bioRxiv · Jun 8, 2020 · PreprintBioinformatics