Author

Theodore Arapoglou

Harvard UniversityORCID 0000-0002-6084-8957Unclaimed 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· 3 Approach:statistical model· 3 Research Focus:variant effect prediction· 3 Assay:whole-genome sequencing· 3 Research Focus:benchmarking· 2 Research Focus:database / resource· 1 Research Focus:fine-mapping· 1 Research Focus:GWAS / association mapping· 1

Frequent Co-Authors

Hufeng ZhouiD· 3 shared Xihao LiiD· 3 shared Zilin LiiD· 3 shared Ryan SuniD· 2 shared Xihong LiniD· 2 shared Yaowu LiuiD· 2 shared Abhijith Asok· 1 shared Adam L. Felsenfeld· 1 shared

Activity by Year

2022-2022 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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3 shared papersGenetics

Hufeng ZhouORCID

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Author profile →

3 papers

Recent·Most cited

A framework for detecting noncoding rare variant associations of large-scale whole-genome sequencing studies

Zilin Li, Xihao Li, Hufeng Zhou, Sheila M. Gaynor, Margaret Sunitha Selvaraj, Theodore Arapoglou, Corbin Quick, Yaowu Liu, Han Chen, Ryan Sun, Rounak Dey, Donna K. Arnett, Paul Livermore Auer, Lawrence F. Bielak, Joshua C. Bis, , Deborah Brown

The paper introduces a framework for detecting noncoding rare variant associations using whole-genome sequencing data, applying it to lipid traits in the TOPMed program.

Nature Methods · Oct 27, 2022Peer-reviewedGenetics

FAVOR: Functional Annotation of Variants Online Resource and Annotator for Variation across the Human Genome

Hufeng Zhou, Theodore Arapoglou, Xihao Li, Zilin Li, Xiuwen Zheng, Jill E. Moore, Abhijith Asok, Sushant Kumar, Elizabeth Blue, Steven G. Buyske, Nancy Jean Cox, Adam L. Felsenfeld, Mark Gerstein, Eimear E. Kenny, Bingshan Li, , Xihong Lin

FAVOR provides an online resource and tool for functional annotation of variants from whole genome sequencing studies to aid in disease gene prioritization.

Nucleic Acids Research · Oct 14, 2022Peer-reviewedGenetics

A multi-dimensional integrative scoring framework for predicting functional variants in the human genome

Xihao Li, Godwin Yung, Hufeng Zhou, Ryan Sun, Zilin Li, Kangcheng Hou, Martin Jinye Zhang, Yaowu Liu, Theodore Arapoglou, Chen Wang, Iuliana Ionita‐Laza, Xihong Lin

The paper introduces MACIE, a framework for predicting functional variants by integrating diverse annotations, and applies it to fine-mapping using GWAS data.

The American Journal of Human Genetics · Feb 24, 2022Peer-reviewedGenetics