Evidence map›Paper›PMID 41844667›Full record

ArticleScientific data2026

VISDB 2.0: A manually curated resource of viral integration sites and their regulatory maps in human diseases.

Citu Citu, Ajeet Singh, Xinyi Liu, Mounika Ashannagari, Rinki Ratnapriya, Zhongming Zhao

Abstract read
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Citu Citu *Center for Precision Health, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.ORCID http://orcid.org/0009-0008-7624-3195
Ajeet Singh *Department of Ophthalmology, Baylor College of Medicine, Houston, TX, 77030, USA.
Xinyi LiuCenter for Precision Health, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
Mounika AshannagariCenter for Precision Health, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
Rinki RatnapriyaDepartment of Ophthalmology, Baylor College of Medicine, Houston, TX, 77030, USA.
Zhongming ZhaoCenter for Precision Health, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA. zhongming.zhao@uth.tmc.edu.

Funding

AIM-AI: an Actionable, Integrated and Multiscale genetic map of Alzheimer's disease via deep learningU01AG079847 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Christopher A. Gaiteri, Xiaoqian Jiang · 2023 to 2026
$5.1M
Transforming dbGaP genetic and genomic data to FAIR-ready by artificial intelligence and machine learning algorithmsR01LM012806 · NLM · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Zhongming Zhao · 2017 to 2026
$3.7M
Cancer Prevention and Research Institute of Texas (Cancer Prevention Research Institute of Texas) RP240610NIA NIH HHS U01 AG079847NLM NIH HHS R01 LM012806U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01LM012806U.S. Department of Health & Human Services | National Institutes of Health (NIH) U01AG079847
6 · The paper itself

Abstract

The integration of viral sequence into the human genome plays critical role in the onset of various diseases, especially cancers. To facilitate systematic analysis of these events, we present VISDB 2.0, an expanded and updated database of human viral integration sites (VISs). The current release contains more than 270,000 manually curated VISs derived from 209 peer-reviewed publications, covering 11 viruses, including four retroviruses and seven DNA viruses. This represents a 3.5-fold increase in VIS entries compared with the previous version. Each VIS record includes standardized genomic coordinates and annotations describing local genomic context, CpG islands, repetitive elements, chromosomal fragile sites, non-coding RNA loci, regulatory elements, epigenomic features, and associated drug-target genes. All records are organized into structured datasets and are available for bulk download to support reuse and independent analysis. VISDB 2.0 also provides a web-based interface that enables querying, filtering, visualization, and retrieval of VISs across different viruses and genomic features. Together, these data constitute a comprehensive and traceable resource for investigating viral integration landscapes and their genomic associations.

Indexed as

Databases, GeneticGenome, HumanVirus IntegrationBiocurationDatasets as TopicHumans

Identifiers

PMID41844667
PMCPMC13144339

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 OpenQuestion graph.