Evidence mapPaperPMID 41335103Full record

ArticleNucleic acids research2026

FAVOR 2.0: A reengineered functional annotation of variants online resource for interpreting genomic variation.

Hufeng Zhou, Vineet Verma, Xihao Li, Zilin Li, Nicole Shedd, Thomas Cheng Li, Haoyu Yang, Alvin Zhang, Beatrice Borsari, Steven Buyske and 7 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Hufeng ZhouDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, United States.ORCID 0000-0001-9382-5674
Vineet VermaDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, United States.
Xihao LiDepartment of Biostatistics and Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.
Zilin LiSchool of Mathematics and Statistics, Northeast Normal University, Changchun, Jilin 130024, China.ORCID 0000-0003-1521-8945
Nicole SheddDepartment of Genomics and Computational Biology, University of Massachusetts Chan Medical School, Worcester, MA 01605, United States.
Thomas Cheng LiDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, United States.
Haoyu YangDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, United States.
Alvin ZhangDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, United States.
Beatrice BorsariProgram in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06511, United States.
Steven BuyskeDepartment of Statistics, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, United States.ORCID 0000-0001-8539-5416
Mark GersteinProgram in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06511, United States.
Tara MatiseDepartment of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, United States.
Michael C ZodyNew York Genome Center, New York, NY 10013, United States.
Benjamin NealeProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142 , United States.
Zhiping WengDepartment of Genomics and Computational Biology, University of Massachusetts Chan Medical School, Worcester, MA 01605, United States.ORCID 0000-0002-3032-7966
Shamil R SunyaevProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142 , United States.
Xihong LinDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, United States.ORCID 0000-0001-7067-7752

Funding

Spatial patterns of metals and metal mixtures in drinking waterP42ES030990 · NIEHS · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI SUSAN A KORRICK · 2022 to 2024
$10.1M
Statistical Methods for Analysis of Massive Genetic and Genomic Data in Cancer ResearchR35CA197449 · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · 2025 to 2025
$926k
Predictive Modeling of the Functional and Phenotypic Impacts of Genetic VariantsU01HG012064 · UNIV OF MASSACHUSETTS MED SCH WORCESTER · 2025 to 2025
$737k
NCI NIH HHS P01 CA134294NCI NIH HHS R35 CA197449NCI NIH HHS U19 CA203654NHGRI NIH HHS U01 HG009088NHGRI NIH HHS U01 HG012064NHLBI NIH HHS R01 HL113338NIEHS NIH HHS P42 ES030990NIH HHS P01-CA134294NIH HHS R01-HL113338NIH HHS R35-CA197449NIH HHS U01-HG009088NIH HHS U01-HG012064NIH HHS U19-CA203654
6 · The paper itself

Abstract

The Functional Annotation of Variants Online Resource (FAVOR), http://favor.genohub.org, is a whole genome variant annotation database and portal that provides comprehensive variant functional annotations of all possible variants across the genome. It can facilitate the analysis of whole-genome sequencing studies, support the interpretation of variant functional impacts, and help prioritize causal variants of diseases or traits. To support the growing popularity and expand the scope of FAVOR, we present here a substantial platform update. The new release features dramatically expanded annotations, a completely redesigned infrastructure powered by a newly implemented application programming interface (FAVOR-API), and a revamped web interface with advanced data-visualization capabilities and enhanced query performance. Key expansions include much more comprehensive variant annotations, including global, tissue- and cell-type-specific variant annotations; gene and protein annotations; support for both hg38 and hg19 reference genomes; and an interactive genome-browser for visualization of multi-faceted variant annotations. The updated platform also includes FAVOR-GPT, a large language model-powered interface for navigating the FAVOR database and interpreting results. FAVOR continues to evolve to keep pace with advances in research on interpreting the functional and phenotypic impact of genomic variation.

Indexed as

Databases, GeneticGenetic VariationGenomicsMolecular Sequence AnnotationGenome, HumanHumansInternetSoftwareUser-Computer Interface

Identifiers

PMID41335103
PMCPMC12807660

What Socratic holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.