Author

Amanda Ewart Toland

The Ohio State UniversityORCID 0000-0002-0271-1792Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Organism:human· 2 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1

Frequent Co-Authors

Albert de la ChapelleiD· 1 shared Alexandra MartinsiD· 1 shared Álvaro N.A. MonteiroiD· 1 shared Amanda B. SpurdleiD· 1 shared Amanda Jane CrossiD· 1 shared Amir AsiaeeiD· 1 shared Amit D. JoshiiD· 1 shared Andrea GsuriD· 1 shared

Activity by Year

2021-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Albert de la ChapelleORCID

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3 papers

Recent·Most cited

Evidence-based recommendations for gene-specific ACMG/AMP variant classification from the ClinGen ENIGMA BRCA1 and BRCA2 Variant Curation Expert Panel

Michael T. Parsons, Miguel de la Hoya, Marcy E. Richardson, Emma Tudini, Michael G. Anderson, Windy Berkofsky‐Fessler, Sandrine M. Caputo, Raymond C. Chan, Melissa Cline, Bing Feng, Cristina Fortuño, Encarna B. Gómez-García, Johanna S. Hadler, Susan C. Hiraki, Megan A. Holdren, , Amanda B. Spurdle

The paper refines ACMG/AMP variant classification criteria for BRCA1 and BRCA2 by calibrating evidence strength and improving classification consistency through expert panel review.

The American Journal of Human Genetics · Aug 13, 2024Peer-reviewedGenetic & Genomic Medicine

Oncogenetic Network Estimation with Disjunctive Bayesian Networks

Phillip B. Nicol, Kevin R. Coombes, Courtney Deaver, Oksana Chkrebtii, Subhadeep Paul, Amanda Ewart Toland, Amir Asiaee

This paper introduces a Bayesian network model for oncogenetic network estimation, showing its ability to infer progression networks from synthetic and real data.

Computational and Systems Oncology · Jun 1, 2021Peer-reviewedBioinformatics

Genetic architectures of proximal and distal colorectal cancer are partly distinct

Jeroen R. Huyghe, Tabitha A. Harrison, Stephanie A. Bien, Heather Hampel, Jane C. Figueiredo, Stephanie L. Schmit, David V. Conti, Sai Chen, Conghui Qu, Yi Lin, Richard Barfield, John A. Baron, Amanda Jane Cross, Brenda B. Diergaarde, David J Duggan, , Rachel Pearlman

This study identifies 13 new genetic loci specific to proximal or distal colorectal cancer subtypes, revealing partly distinct genetic architectures for these tumor locations.

Gut · Feb 25, 2021Peer-reviewedGenetic & Genomic Medicine