PreprintCited by 1Genomics and Rare DiseasesRNA Research and SplicingGenomics and Phylogenetic Studies

Benchmarking the AlphaGenome Variant Impact score against SpliceAI on post-release ClinVar classifications and experimental splicing assays

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Cavus, Ozge A., Kuskucu, Aysegul·2026·bioRxiv (Cold Spring Harbor Laboratory)

Abstract

The AlphaGenome Variant Impact (AVI) score ranks variants by predicted impact, and its developers report large gains over other genome-wide scores for intronic ClinVar variants. We tested AVI on two kinds of ground truth the developers did not use, under an analysis plan set before scoring: ClinVar classifications made after the developers' ClinVar release (87,666 rare single-nucleotide variants outside AVI's training chromosomes), and six splicing assays whose variants no predictor chose. In intronic variants at least 3 bases from an exon (449 pathogenic or likely pathogenic, 28,188 benign or likely benign), AVI reached an area under the receiver operating characteristic curve (AUROC) of 0.957. It did not differ detectably from SpliceAI (difference −0.005, 95% interval −0.017 to 0.006) or Pangolin (−0.006, −0.018 to 0.007); both intervals exclude differences larger than about 0.02. AVI had a higher AUROC than CADD (+0.071). In deep intronic variants it trailed SpliceAI (−0.070, −0.118 to −0.026). Under an adapted ClinGen calibration, AVI gave strong evidence to 52% of pathogenic variants on the pooled test set, but its levels did not hold in every region. It gave benign evidence to 24% of benign variants, against 90% for SpliceAI. On the assays, AVI ranked splice-altering variants below raw SpliceAI (pooled difference −0.089, −0.129 to −0.049) and did not differ from masked SpliceAI (+0.003). SpliceAI2, released during the study, led AVI on both kinds of ground truth. AVI did not outperform splicing predictors on AUROC and gave little benign evidence. AlphaGenome outputs are provided for research use, not for diagnostic decisions.

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Crossref · 10.64898/2026.10.11.758362

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Cited by

Authors
Cavus, O. A., & Kuskucu, A.
Affiliations
  • AIstanbul Research Group, Istanbul, Türkiye
  • Department of Medical Genetics, Faculty of Medicine, Yeditepe University, Istanbul, Türkiye
Corresponding author
Cavus, Ozge A.
Venue
bioRxiv (Cold Spring Harbor Laboratory)
Publisher
openRxiv
Published
2026-10-17
OpenAlex
W7222880099
Cited by
1
References
0
Citations by year
2026: 1
Type
posted content
Language
en
Open access
Locations
bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
Keywords
SpliceAI, variant effect prediction, intronic variants, deep intronic variants, pangolins, CADD

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