Author

Zhentian Kai

ORCID 0000-0002-7934-9285Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:variant effect prediction· 2 Assay:whole-genome sequencing· 2 Research Focus:differential expression· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Claire L. ShovliniD· 2 shared Sihao XiaoiD· 2 shared Adrianna M. BielowkaiD· 1 shared Andrew David MumfordiD· 1 shared Awatif Abdulmogith· 1 shared Dan MurphyiD· 1 shared David Brown· 1 shared Dilip Patel· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Claire L. ShovlinORCID

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2 papers

Recent·Most cited

Functional filter for whole genome sequence data identifies stress impact, non-coding, alternate polyadenylation site variants >5kb from coding DNA

Sihao Xiao, Zhentian Kai, Dan Murphy, Dongyang Li, Dilip Patel, Adrianna M. Bielowka, María E Bernabeu-Herrero, Awatif Abdulmogith, Andrew David Mumford, Sarah K. Westbury, Micheala A. Aldred, Neil Vargesson, Mark J. Caulfield, Claire L. Shovlin

GROFFFY filters whole genome sequence data to identify non-coding and polyadenylation site variants, improving detection of disease-causing variants in unsolved cases.

medRxiv · May 10, 2023 · PreprintGenetic & Genomic Medicine

Harnessing the 100,000 Genomes Project whole genome sequencing data - an unbiased systematic tool to filter by biologically validated regions of functionality

Sihao Xiao, Zhentian Kai, David Brown, Claire L. Shovlin

The paper develops a filter called GROFFFY to prioritize functional genomic variants from whole genome sequencing data, reducing variant numbers while retaining clinically relevant variants.

medRxiv · Mar 30, 2020 · PreprintGenetic & Genomic Medicine