circRNADisease v3.0: an updated resource for high-quality, experimentally supported circRNA-disease associations.

Systematic integration of circular RNA (circRNA)-disease associations is essential for elucidating the roles of circRNAs in disease pathogenesis and evaluating their potential as biomarkers and therapeutic targets. circRNADisease was established as a manually curated database of experimentally supported circRNA-disease associations. Here, we present circRNADisease v3.0, a substantially expanded and enhanced release containing 15 390 curated circRNA-disease entries involving 9168 circRNAs, 656 MONDO-standardized disease terms, and 66 species, representing more than a twofold increase in data volume compared with v2.0. Each record is assigned a confidence score according to the strength and diversity of supporting evidence, including clinical evidence, circular-transcript identity verification, expression detection, functional experiments, molecular-mechanism validation, and bioinformatic analysis. The updated database also incorporates genomic coordinates, subcellular localization, experimental validation methods, clinical significance, data and code availability, and cross-references to multiple disease terminologies. Two new modules have been introduced. Circ2CNV contains 2 962 504 circRNA-cancer cohort records with copy-number variations across 33 TCGA cancer cohorts, whereas Circ2Celltype comprises 2025 cell-type-resolved evidence records covering 29 cell types. Together with the existing Circ2Mut module, these additions connect literature-curated circRNA-disease associations with genomic alterations and cellular contexts. circRNADisease v3.0 provides a comprehensive and evidence-oriented platform for circRNA research and is freely available at http://cgga.org.cn/circRNADisease/.

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Journal
PubMed
Published
2026-09-25
DOI
https://doi.org/10.1093/nar/gkag927
Primary Topic
Circular RNAs in diseases
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article
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article

circRNADisease v3.0: an updated resource for high-quality, experimentally supported circRNA-disease associations.

Ji Shi, Hanxiao Zhou, Lijie Huang, Zhiyan Sun et al.
PubMed
Circular RNAs in diseases
article

circRNADisease v3.0: an updated resource for high-quality, experimentally supported circRNA-disease associations.

Ji Shi, Hanxiao Zhou, Lijie Huang, Zhiyan Sun, Wu Fan, Wen-Lu Tan, Chang-Lin Yang, Zheng Zhao, Tao Jiang, Ling-Xiang Wu, Rui Yang
article en

Abstract

Systematic integration of circular RNA (circRNA)-disease associations is essential for elucidating the roles of circRNAs in disease pathogenesis and evaluating their potential as biomarkers and therapeutic targets. circRNADisease was established as a manually curated database of experimentally supported circRNA-disease associations. Here, we present circRNADisease v3.0, a substantially expanded and enhanced release containing 15 390 curated circRNA-disease entries involving 9168 circRNAs, 656 MONDO-standardized disease terms, and 66 species, representing more than a twofold increase in data volume compared with v2.0. Each record is assigned a confidence score according to the strength and diversity of supporting evidence, including clinical evidence, circular-transcript identity verification, expression detection, functional experiments, molecular-mechanism validation, and bioinformatic analysis. The updated database also incorporates genomic coordinates, subcellular localization, experimental validation methods, clinical significance, data and code availability, and cross-references to multiple disease terminologies. Two new modules have been introduced. Circ2CNV contains 2 962 504 circRNA-cancer cohort records with copy-number variations across 33 TCGA cancer cohorts, whereas Circ2Celltype comprises 2025 cell-type-resolved evidence records covering 29 cell types. Together with the existing Circ2Mut module, these additions connect literature-curated circRNA-disease associations with genomic alterations and cellular contexts. circRNADisease v3.0 provides a comprehensive and evidence-oriented platform for circRNA research and is freely available at http://cgga.org.cn/circRNADisease/.

PubMed
Capital Medical University (CN), Beijing Tian Tan Hospital (CN), Beijing Institute of Neurosurgery (CN)
Openalex Percentile: Top 19%
Circular RNAs in diseases
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