Author

Linfeng Hu

Broad InstituteORCID 0009-0004-2898-9268Unclaimed 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· 4 Approach:statistical model· 4 Research Focus:eQTL / molecular QTL mapping· 2 Research Focus:gene regulatory network inference· 2 Research Focus:GWAS / association mapping· 2 Assay:whole-genome sequencing· 2 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1

Frequent Co-Authors

Wei ZhouiD· 4 shared Angli XueiD· 2 shared Anna S. E. CuomoiD· 2 shared Benjamin M. NealeiD· 2 shared Daniel G. MacArthuriD· 2 shared Elizabeth G. AtkinsoniD· 2 shared Joseph E. PowelliD· 2 shared Mark J. DalyiD· 2 shared

Activity by Year

2025-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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4 shared papersGenetic & Genomic Medicine

Wei ZhouORCID

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Author profile →

4 papers

Recent·Most cited

Scalable context-dependent single-cell eQTL mapping reveals disease-relevant regulatory variation beyond static models

Yijia Christiana Liu, Anna S. E. Cuomo, Yi Huang, Joaquín Pérez‐Schindler, Bellis Min, Sanchari Datta, NIVEDITA NAMBRATH, Linfeng Hu, Kisung Nam, Masahiro Kanai, Angli Xue, Ramnik J. Xavier, Mark J. Daly, Daniel G. MacArthur, Joseph E. Powell, , Wei Zhou

The paper introduces CASTIE, a method for context-dependent eQTL mapping in single-cell data, identifying regulatory variants missed by static models and linking them to disease traits.

medRxiv · Sep 14, 2026 · PreprintGenetic & Genomic Medicine

A unified framework for local-ancestry-aware genetic association analysis across biobanks

Linfeng Hu, Taotao Tan, Kai Yuan, Ying Wang, Bram L. Gorissen, Yi-Sian Lin, Pragati Kore, Wenhan Lu, Ravi Mandla, Zhuozheng Shi, Kangcheng Hou, Konrad J. Karczewski, Hailiang Huang, Benjamin M. Neale, Mark J. Daly, , Wei Zhou

FELIX improves genetic association analysis by accounting for local ancestry in admixed populations, increasing significant loci and improving polygenic score prediction.

medRxiv · Aug 11, 2026 · PreprintGenetic & Genomic Medicine

Local ancestry-informed rare variant burden testing improves gene discovery in admixed populations

Pragati Kore, Taotao Tan, Wenxuan Lu, Astrid Manuel-Friedman, Linfeng Hu, Nilanjan Chatterjee, Wei Zhou, Ryan S. Dhindsa, Elizabeth G. Atkinson

Tractor-Burden improves gene discovery in admixed populations by incorporating local ancestry in rare variant burden testing, identifying additional genes and pathways for type 2 diabetes.

medRxiv · Jul 15, 2026 · PreprintGenetic & Genomic Medicine

Genetic regulation of cell type-specific chromatin accessibility shapes immune function and disease risk

Angli Xue, Jianan Fan, Oscar A Dong, Hao Lawrence Huang, Ling Chen, Peter C. Allen, Eleanor Spenceley, Eszter Sagi-Zsigmond, Blake Bowen, Albert Henry, Anna S. E. Cuomo, Hope A. Tanudisastro, Zhen Qiao, Elizabeth Dorans, Eyal Ben‐David, , Joseph E. Powell

The paper maps chromatin accessibility and genetic variation in immune cells, showing how integrating cell-type-specific data improves disease risk understanding.

medRxiv · Aug 27, 2025 · PreprintGenetic & Genomic Medicine