Author

Hang Dai

Duke 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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Genetic & Genomic Medicine· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:GWAS / association mapping· 1 Assay:metagenomics· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Alexandre BolzeiD· 1 shared Ashley Arana Waring· 1 shared Basil KhuderiD· 1 shared C. Anwar A. ChahaliD· 1 shared Cassie Hajek· 1 shared Christopher N. Chapman· 1 shared Dana WymaniD· 1 shared Daniel Philip JudgeiD· 1 shared

Activity by Year

2019-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Alexandre BolzeORCID

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2 papers

Recent·Most cited

A novel method for predicting Lp(a) levels from routine outpatient genomic testing identifies those at risk of cardiovascular disease across a diverse cohort

Natalie Telis, Hang Dai, Ashley Arana Waring, David Kann, Dana Wyman, Simon J. White, Basil Khuder, Francisco Tanudjaja, Alexandre Bolze, Matthew E. Levy, Cassie Hajek, Lisa M. McEwen, Douglas A. Stoller, Christopher N. Chapman, C. Anwar A. Chahal, , Kelly M. Schiabor Barrett

This paper develops a method to predict Lp(a) levels from genomic data, combining SNV risk scores and KIV-2 repeat counts, and shows it improves risk prediction for cardiovascular disease in diverse populations.

medRxiv · Nov 1, 2024 · PreprintGenetic & Genomic Medicine

Human microbiome sequences in the light of the Nubeam

Hang Dai, Yongtao Guan

The paper introduces Nubeam, a reference-free method for analyzing sequencing reads, and applies it to human microbiome data to analyze unmapped reads and their contributions.

bioRxiv · Sep 9, 2019 · PreprintGenetics