Author

Ethan X. Fang

Duke UniversityORCID 0000-0003-3762-9155Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell-cell communication· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Organism:human· 1 Research Focus:spatial domain detection· 1 Approach:statistical model· 1

Frequent Co-Authors

Hongtu Zhu BiD· 1 shared Jason L. SteiniD· 1 shared Patrick F. SullivaniD· 1 shared Tengfei LiiD· 1 shared Yun LiiD· 1 shared Zhiwen JiangiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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6 top collaborators · 15 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Hongtu Zhu BORCID

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1 paper

Recent·Most cited

Computation and resource efficient genome-wide association analysis for large-scale imaging studies

Zhiwen Jiang, Jason L. Stein, Tengfei Li, Ethan X. Fang, Yun Li, Patrick F. Sullivan, Hongtu Zhu B

This paper introduces RVGA, a framework for efficient genome-wide association analysis in imaging genetics, identifying novel loci and genetic correlations in brain structures using UK Biobank data.

Nature Communications · Feb 28, 2026Peer-reviewedGenetic & Genomic Medicine