Skip Navigation
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

National Institute of Environmental Health Sciences

Use this QR code to view the newest version of this document
Use this QR code to view the newest version of this document

Your Environment. Your Health.

Person Details: Hufeng Zhou

Superfund Research Program

Hufeng Zhou

Harvard School of Public Health
677 Huntington Ave
Boston, Massachusetts 02115
Phone: 617-903-8599
Email: hzhou@hsph.harvard.edu

Projects

Publications

2023

  • Zhou H, Arapoglou T, Li X, Li Z, Zheng X, Moore JE, Asok A, Kumar S, Blue EE, Buyske S, Cox NJ, Felsenfeld A, Gerstein M, Kenny E, Li B, Matise T, Philippakis A, Rehm HL, Sofia HJ, Snyder G, Weng Z, Neale BM, Sunyaev SR, Lin X. 2023. FAVOR: functional annotation of variants online resource and annotator for variation across the human genome. Nucleic Acids Res 51:1300-1311. doi:10.1093/nar/gkac966 PMID:36350676 PMCID:9825437

2022

  • Li X, Yung G, Zhou H, Sun R, Li Z, Hou K, Zhang MJ, Liu Y, Arapoglou T, Wang C, Ionita-Laza I, Lin X. 2022. A multi-dimensional integrative scoring framework for predicting functional variants in the human genome. Am J Hum Genet 103(3):446-456. doi:10.1016/j.ajhg.2022.01.017 PMID:35216679 PMCID:8948160

2020

  • Li X, Li Z, Zhou H, Gaynor S, Liu Y, Chen H, Sun R, Dey R, Arnett D, Aslibekyan S, Ballantyne CM, Bielak LF, Blangero J, Boerwinkle E, Bowden DW, Broome JG, Conomos MP, Correa A, Cupples A, Curran JE, Freedman BI, Guo X, Hindy G, Irvin MR, Kardia SL, Kathiresan S, Khan AT, Kooperberg CL, Laurie CC, Liu XS, Mahaney MC, Manichaikul AW, Martin LW, Mathias RA, McGarvey ST, Mitchell BD, Montasser ME, Moore JE, O'Connell JR, Palmer ND, Pampana A, Peralta JM, Peyser PA, Psaty BM, Redline S, Rice KM, Rich SS, Smith JA, Tiwari HK, Tsai MY, Vasan RS, Wang F, Weeks DE, Weng Z, Wilson JG, Yanek LR, Neale BM, Sunyaev SR, Abecasis GR, Rotter JI, Willer CJ, Peloso GM, Natarajan P, Lin X. 2020. Dynamic incorporation of multiple in silico functional annotations empowers rare variant association analysis of large whole-genome sequencing studies at scale. Nat Genet 52:969-983. doi:10.1038/s41588-020-0676-4 PMID:32839606 PMCID:PMC7483769
  • Sun R, Xu M, Li X, Gaynor S, Zhou H, Li Z, Bosse Y, Lam S, Tsao M, Tardon A, Chen C, Doherty JA, Goodman G, Bojesen SE, Landi MT, Johansson M, Field JK, Bickeboller H, Wichmann H, Risch A, Rennert G, Arnold S, Wu X, Melander O, Brunnstrom H, Le Marchand L, Liu G, Andrew AS, Duell EJ, Kiemeney LA, Shen H, Haugen A, Johansson M, Grankvist K, Caporaso N, Woll P, Dawn Teare M, Scelo G, Hong Y, Yuan J, Lazarus P, Schabath MB, Aldrich MC, Albanes D, Mak R, Barbie D, Brennan P, Hung RJ, Amos CI, Christiani DC, Lin X. 2020. Integration of multiomic annotation data to prioritize and characterize inflammation and immune-related risk variants in squamous cell lung cancer. Genet Epidemiol doi:10.1002/gepi.22358 PMID:32924180
Back
to Top