Terms of Use

All data in FAVOR are released openly and publicly for the benefit of the broad biomedical and health science community. It is distributed under the terms of MIT license. Users may freely download, search the data and are encouraged to use and publish results generated from these data. There are no restrictions or embargoes on the publication of results derived from the FAVOR database.

All users of the FAVOR data agree to not attempt to re-identify or contact participants, protect data confidentiality, and abide by all applicable laws and regulations for handling genomic data.

This data set has been subjected to extensive quality control, there is still the potential for errors. Please contact us using the Discussion Forum or email us at favor@genohub.org, in the event that any dubious values are encountered so that we may address them.

When using FAVOR in your work, please use the following citation and include the copyright notice stated in the MIT license somewhere in your product or its documentation.

Citation

1. FAVOR

Hufeng Zhou*, Theodore Arapoglou*, Xihao Li, Zilin Li, Xiuwen Zheng, Jill Moore, Abhijith Asok, Sushant Kumar, Elizabeth E. Blue, Steven Buyske, Nancy Cox, Adam Felsenfeld, Mark Gerstein, Eimear Kenny, Bingshan Li, Tara Matise, Anthony Philippakis, Heidi Rehm, Heidi J. Sofia, Grace Snyder, NHGRI Genome Sequencing Program Variant Functional Annotation Working Group, Zhiping Weng, Benjamin Neale, Shamil R. Sunyaev, Xihong Lin. FAVOR: Functional Annotation of Variants Online Resource and Annotator for Variation across the Human Genome . Nucleic Acids Res 2022 Nov 9; gkac966. PMID: 36350676. DOI: 10.1093/nar/gkac966..

FAVOR Full Database, DOI: 10.7910/DVN/KFUBKG. FAVOR Esssential Database, DOI: 10.7910/DVN/1VGTJI.

2. STAAR

Li X, Li Z, Zhou H, Gaynor SM, Liu Y, Chen H, Sun R, Dey R, Arnett DK, Aslibekyan S, Ballantyne CM, Bielak LF, Blangero J, Boerwinkle E, Bowden DW, Broome JG, Conomos MP, Correa A, Cupples LA, Curran JE, Freedman BI, Guo X, Hindy G, Irvin MR, Kardia SLR, 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, Morrison AC, 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 FF, Weeks DE, Weng Z, Wilson JG, Yanek LR, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, TOPMed Lipids Working Group, Neale BM, Sunyaev SR, Abecasis GR, Rotter JI, Willer CJ, Peloso GM, Natarajan P, and Lin X. Dynamic incorporation of multiple in silico functional annotations empowers rare variant association analysis of large whole-genome sequencing studies at scale. Nature Genetics 2020; 52(9): 969-983. PMID: 32839606. DOI: 10.1038/s41588-020-0676-4.

3. STAARpipeline

Zilin Li*, Xihao Li*, Hufeng Zhou, Sheila M. Gaynor, Margaret S. Selvaraj, Theodore Arapoglou, Corbin Quick, Yaowu Liu, Han Chen, Ryan Sun, Rounak Dey, Donna K. Arnett, Lawrence F. Bielak, Joshua C. Bis, Thomas W. Blackwell, John Blangero, Eric Boerwinkle, Donald W. Bowden, Jennifer A. Brody, Brian E. Cade, Matthew P. Conomos, Adolfo Correa, L. Adrienne Cupples, Joanne E. Curran, Paul S. de Vries, Ravindranath Duggirala, Barry I. Freedman, Harald H. H. Göring, Xiuqing Guo, Rita R. Kalyani, Charles Kooperberg, Brian G. Kral, Leslie A. Lange, Ani Manichaikul, Lisa W. Martin, Braxton D. Mitchell, May E. Montasser, Alanna C. Morrison, Take Naseri, Jeffrey R. O’Connell, Nicholette D. Palmer, Patricia A. Peyser, Bruce M. Psaty, Laura M. Raffield, Susan Redline, Alexander P. Reiner, Muagututi‘a Sefuiva Reupena, Kenneth M. Rice, Stephen S. Rich, Jennifer A. Smith, Kent D. Taylor, Ramachandran S. Vasan, Daniel E. Weeks, James G. Wilson, Lisa R. Yanek, Wei Zhao, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, TOPMed Lipids Working Group, Jerome I. Rotter, Cristen J. Willer, Pradeep Natarajan, Gina M. Peloso, Xihong Lin. A framework for detecting noncoding rare variant associations of large-scale whole-genome sequencing studies. Nature Methods 19, 1599–1611 (2022) DOI: s41592-022-01640-x.

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