Author

Monica D. Ramstetter

Cornell University

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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Genetics· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Amy L. WilliamsiD· 2 shared Donna M. LehmaniD· 2 shared Jason G. MezeyiD· 2 shared Joanne E. CurraniD· 2 shared John BlangeroiD· 2 shared Ravindranath DuggiralaiD· 2 shared Thomas D. DyeriD· 2 shared Sushila A. ShenoyiD· 1 shared

Activity by Year

2017-2018 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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2 shared papersGenetics

Amy L. WilliamsORCID

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2 papers

Recent·Most cited

GeneticsThe American Journal of Human GeneticsPeer-reviewedJun 21, 2018

Inferring identical by descent sharing of sample ancestors promotes high resolution relative detection

Monica D. Ramstetter, Sushila A. Shenoy, Thomas D. Dyer…·Amy L. Williams

DRUID improves relative detection by inferring IBD sharing of ungenotyped ancestors, outperforming PADRE in identifying relatives and reducing generational gaps.

39 citations

statistical model

𝕏 PostBluesky

GeneticsGeneticsPeer-reviewedJul 24, 2017

A performance assessment of relatedness inference methods using genome-wide data from thousands of relatives

Monica D. Ramstetter, Thomas D. Dyer, Donna M. Lehman…·Amy L. Williams

This study evaluates 12 relatedness inference methods using genome-wide data from 2,485 relatives, finding high accuracy for first and second degree relationships but significant drops for seventh degree relationships.

109 citationstop 3%

humanwhole-genome sequencing

𝕏 PostBluesky