Author

Élodie Gazave

Cornell UniversityORCID 0000-0002-6972-7051Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:variant effect prediction· 2 Assay:whole-genome sequencing· 2 Organism:multiple species· 1 Organism:plant (other)· 1

Frequent Co-Authors

Edward S. BuckleriD· 2 shared Michael A. GoreiD· 2 shared Nonoy B. BandilloiD· 2 shared Patrick J. BrowniD· 2 shared Ravi ValluruiD· 2 shared Roberto Daniel LozanoiD· 2 shared Samuel B. FernandesiD· 2 shared Andrew D. B. LeakeyiD· 1 shared

Activity by Year

2018-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

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2 shared papersGenomics

Edward S. BucklerORCID

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2 papers

Recent·Most cited

Comparative evolutionary analysis and prediction of deleterious mutation patterns between sorghum and maize

Roberto Daniel Lozano, Élodie Gazave, Jhonathan Pedroso Rigal dos Santos, Markus G Stetter, Ravi Valluru, Nonoy B. Bandillo, Samuel B. Fernandes, Patrick J. Brown, Nadia Shakoor, Todd C. Mockler, Jeffrey Ross‐Ibarra, Edward S. Buckler, Michael A. Gore

This study compares deleterious mutation patterns between sorghum and maize, finding sorghum diverges from the domestication cost hypothesis and develops a gene deleterious index with accuracy over 0.5.

bioRxiv · Sep 23, 2019 · PreprintGenomics

Leveraging mutational burden for complex trait prediction in sorghum

Ravi Valluru, Élodie Gazave, Samuel B. Fernandes, John N. Ferguson, Roberto Daniel Lozano, Pradeepa Hirannaiah, Tao Zuo, Patrick J. Brown, Andrew D. B. Leakey, Michael A. Gore, Edward S. Buckler, Nonoy B. Bandillo

This study estimates deleterious mutation burden in sorghum and assesses its impact on agronomic traits, finding moderate genetic variance explanation but limited improvement in breeding accuracy due to linkage.

bioRxiv · Jun 27, 2018 · PreprintGenetics