Author

Ayorinde Cooley

Meharry Medical CollegeORCID 0000-0002-8710-6910Unclaimed 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 Organism:human· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Ali G. GharaviiD· 1 shared Carrie L. Blout ZawatskyiD· 1 shared Chenjie ZengiD· 1 shared Chunhua WengiD· 1 shared Dan M. RodeniD· 1 shared David R. CrossliniD· 1 shared Emma F. PereziD· 1 shared Eric VenneriD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Ali G. GharaviORCID

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1 paper

Recent·Most cited

A scalable EHR-based approach for phenotype discovery and variant interpretation for hereditary cancer genes

Chenjie Zeng, Lisa A. Bastarache, Ran Tao, Eric Venner, Scott Joseph Hebbring, Justin D. Andujar, Harris T. Bland, David R. Crosslin, Siddharth Pratap, Ayorinde Cooley, Jennifer A. Pacheco, Kurt Derek Christensen, Emma F. Perez, Carrie L. Blout Zawatsky, Leora Witkowski, , Joshua C. Denny

This study uses EHR data to identify gene-phenotype associations and develop phenotype risk scores for variant interpretation in hereditary cancer genes.

JAMA Oncology · Apr 21, 2022Peer-reviewedGenetic & Genomic Medicine