CADD
Combined Annotation-Dependent Depletion: a genome-wide variant deleteriousness score that integrates more than 60 genomic features in a machine learning model trained to separate simulated de novo variants from variants fixed in human populations since the human-chimpanzee split. It scores single nucleotide variants and short insertions and deletions anywhere in the reference assembly, not only missense variants (Rentzsch et al. 2019, Nucleic Acids Research 47:D886).
No reviewed evaluations are linked here in this release. See the sources and separately identified configurations below.
Overview
Combined Annotation-Dependent Depletion: a genome-wide variant deleteriousness score that integrates more than 60 genomic features in a machine learning model trained to separate simulated de novo variants from variants fixed in human populations since the human-chimpanzee split. It scores single nucleotide variants and short insertions and deletions anywhere in the reference assembly, not only missense variants (Rentzsch et al. 2019, Nucleic Acids Research 47:D886).
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Source checking is not independent reproduction. Release 2026-10-10-7fcc3e48a123.
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Sources and history
Release 2026-10-10-7fcc3e48a123 · Record review: source checked
3 source records and release history
- Comprehensive assessment of computational algorithms in predicting cancer driver mutations · Original source · Genome Biology 21:43, published 2020-02-20; PMC7033911 full-text XML
- An openly licensed benchmark and per-gene calibration map for missense pathogenicity predictors on activating cancer drivers · Original source · bioRxiv 2026.07.16.739080 v1, posted 2026-07-23; full-text HTML page
- Benchmarking deep learning splice prediction tools using functional splice assays · Original source · Human Mutation 42(7):799, published online 2021-05-20; PMC8360004 full-text XML
Technical metadata and extraction receipts
Stable ID: somatic-oncogenicity-20261009-method-cadd
- areas
- dna-genomes
- contexts
- clinical_research
- method types
- supervised_machine_learning
- reported name
- CADD
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- version: reason: inapplicable; note: Family record; score sources are on configurations
Related records
- configuration of: CADD (Chen et al. 2020)
- configuration of: CADD_raw rank score, dbNSFP 5.3.1a (Lee 2026)
- configuration of: CADD (Riepe et al. 2021)