rewirebio.iobenchmarks
Protocol

ClinVar pathogenic versus benign SNVs within variant type, AUROC (Lu et al. 2025)

Separate pathogenic from benign ClinVar SNVs within each variant type, scored by AUROC on the variants every compared model scores.

132 evaluations · 132 results

Overview

An explanatory profile has not yet been reviewed for this record.

Consult the linked sources for architecture or protocol details. Missing evidence is not evidence of a missing capability.

132 recorded evaluations, 132 metric rows. A comparison chart has not yet been validated for these results. The table retains the individual findings and their sources.

View coverage and remaining gaps across all benchmarks

Results

Results are available, but no reviewed comparison panel is linked in this release.

All evaluations

132 evaluations · 132 results. Different protocols are not a single leaderboard.

Filter evaluations

Applied filters: All linked evaluations

Exact evaluated configurations and original reported results
Tested configurationProtocol and datasetFindingEvidence and details
Configuration: AlphaGenome all outputs, quantile, maximum (Lu et al. 2025)Protocol: ClinVar pathogenic versus benign SNVs within variant type, AUROC (Lu et al. 2025)
Dataset subset: Lu et al. 2025 ClinVar benchmark: All variants (Figure 1)
0.31 AUROC (ClinVar pathogenic vs benign SNVs, All variants)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

AlphaGenome on ClinVar All variants SNVs (Lu et al. 2025 Figure 1)

lu-hetero-20261019-protocol-clinvar-variant-type-auroc

Aggregation: Not reported

Genomic heterogeneity inflates the performance of variant pathogenicity predictions (Lu, Liu, Lin and Brandes, bioRxiv 2025, v2) · Figure 1 (page 8), column 1, panel 1 'All variants (N=258,944, %P=30.59%)', row 'AlphaGenome', bar label
Configuration: DNABERT-2 117M, CLS embedding L2 distance (Lu et al. 2025)Protocol: ClinVar pathogenic versus benign SNVs within variant type, AUROC (Lu et al. 2025)
Dataset subset: Lu et al. 2025 ClinVar benchmark: All variants (Figure 1)
0.576 AUROC (ClinVar pathogenic vs benign SNVs, All variants)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

DNABERT2 on ClinVar All variants SNVs (Lu et al. 2025 Figure 1)

lu-hetero-20261019-protocol-clinvar-variant-type-auroc

Aggregation: Not reported

Genomic heterogeneity inflates the performance of variant pathogenicity predictions (Lu, Liu, Lin and Brandes, bioRxiv 2025, v2) · Figure 1 (page 8), column 1, panel 1 'All variants (N=258,944, %P=30.59%)', row 'DNABERT2', bar label
Configuration: Evo 2 7B base, 8,192 bp log-likelihood ratio (Lu et al. 2025)Protocol: ClinVar pathogenic versus benign SNVs within variant type, AUROC (Lu et al. 2025)
Dataset subset: Lu et al. 2025 ClinVar benchmark: All variants (Figure 1)
0.969 AUROC (ClinVar pathogenic vs benign SNVs, All variants)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

Evo2 on ClinVar All variants SNVs (Lu et al. 2025 Figure 1)

lu-hetero-20261019-protocol-clinvar-variant-type-auroc

Aggregation: Not reported

Genomic heterogeneity inflates the performance of variant pathogenicity predictions (Lu, Liu, Lin and Brandes, bioRxiv 2025, v2) · Figure 1 (page 8), column 1, panel 1 'All variants (N=258,944, %P=30.59%)', row 'Evo2', bar label
Configuration: GPN-MSA precomputed hg38 scores (Lu et al. 2025)Protocol: ClinVar pathogenic versus benign SNVs within variant type, AUROC (Lu et al. 2025)
Dataset subset: Lu et al. 2025 ClinVar benchmark: All variants (Figure 1)
0.96 AUROC (ClinVar pathogenic vs benign SNVs, All variants)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

GPN-MSA on ClinVar All variants SNVs (Lu et al. 2025 Figure 1)

lu-hetero-20261019-protocol-clinvar-variant-type-auroc

Aggregation: Not reported

Genomic heterogeneity inflates the performance of variant pathogenicity predictions (Lu, Liu, Lin and Brandes, bioRxiv 2025, v2) · Figure 1 (page 8), column 1, panel 1 'All variants (N=258,944, %P=30.59%)', row 'GPN-MSA', bar label
Configuration: Nucleotide Transformer 2.5B multi-species, CLS embedding L2 distance (Lu et al. 2025)Protocol: ClinVar pathogenic versus benign SNVs within variant type, AUROC (Lu et al. 2025)
Dataset subset: Lu et al. 2025 ClinVar benchmark: All variants (Figure 1)
0.793 AUROC (ClinVar pathogenic vs benign SNVs, All variants)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

Nucleotide Transformer on ClinVar All variants SNVs (Lu et al. 2025 Figure 1)

lu-hetero-20261019-protocol-clinvar-variant-type-auroc

Aggregation: Not reported

Genomic heterogeneity inflates the performance of variant pathogenicity predictions (Lu, Liu, Lin and Brandes, bioRxiv 2025, v2) · Figure 1 (page 8), column 1, panel 1 'All variants (N=258,944, %P=30.59%)', row 'Nucleotide Transformer', bar label
Configuration: PhyloGPN, official example code (Lu et al. 2025)Protocol: ClinVar pathogenic versus benign SNVs within variant type, AUROC (Lu et al. 2025)
Dataset subset: Lu et al. 2025 ClinVar benchmark: All variants (Figure 1)
0.915 AUROC (ClinVar pathogenic vs benign SNVs, All variants)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

PhyloGPN on ClinVar All variants SNVs (Lu et al. 2025 Figure 1)

lu-hetero-20261019-protocol-clinvar-variant-type-auroc

Aggregation: Not reported

Genomic heterogeneity inflates the performance of variant pathogenicity predictions (Lu, Liu, Lin and Brandes, bioRxiv 2025, v2) · Figure 1 (page 8), column 1, panel 1 'All variants (N=258,944, %P=30.59%)', row 'PhyloGPN', bar label
Configuration: PhyloP 100-way vertebrate (Lu et al. 2025)Protocol: ClinVar pathogenic versus benign SNVs within variant type, AUROC (Lu et al. 2025)
Dataset subset: Lu et al. 2025 ClinVar benchmark: All variants (Figure 1)
0.908 AUROC (ClinVar pathogenic vs benign SNVs, All variants)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

PhyloP on ClinVar All variants SNVs (Lu et al. 2025 Figure 1)

lu-hetero-20261019-protocol-clinvar-variant-type-auroc

Aggregation: Not reported

Genomic heterogeneity inflates the performance of variant pathogenicity predictions (Lu, Liu, Lin and Brandes, bioRxiv 2025, v2) · Figure 1 (page 8), column 1, panel 1 'All variants (N=258,944, %P=30.59%)', row 'PhyloP', bar label
Configuration: Variant-type pathogenicity prior on the benchmark's own labels (Lu et al. 2025)Protocol: ClinVar pathogenic versus benign SNVs within variant type, AUROC (Lu et al. 2025)
Dataset subset: Lu et al. 2025 ClinVar benchmark: All variants (Figure 1)
0.962 AUROC (ClinVar pathogenic vs benign SNVs, All variants)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

Rule-based on ClinVar All variants SNVs (Lu et al. 2025 Figure 1)

lu-hetero-20261019-protocol-clinvar-variant-type-auroc

Aggregation: Not reported

Genomic heterogeneity inflates the performance of variant pathogenicity predictions (Lu, Liu, Lin and Brandes, bioRxiv 2025, v2) · Figure 1 (page 8), column 1, panel 1 'All variants (N=258,944, %P=30.59%)', row 'Rule-based', bar label
Configuration: AlphaGenome all outputs, quantile, maximum (Lu et al. 2025)Protocol: ClinVar pathogenic versus benign SNVs within variant type, AUROC (Lu et al. 2025)
Dataset subset: Lu et al. 2025 ClinVar benchmark: Intron (Non-splice) (Figure 1)
0.96 AUROC (ClinVar pathogenic vs benign SNVs, Intron (Non-splice))
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

AlphaGenome on ClinVar Intron (Non-splice) SNVs (Lu et al. 2025 Figure 1)

lu-hetero-20261019-protocol-clinvar-variant-type-auroc

Aggregation: Not reported

Genomic heterogeneity inflates the performance of variant pathogenicity predictions (Lu, Liu, Lin and Brandes, bioRxiv 2025, v2) · Figure 1 (page 8), column 1, panel 3 'Intron (Non-splice) (N=88,049, %P=1.60%)', row 'AlphaGenome', bar label
Configuration: DNABERT-2 117M, CLS embedding L2 distance (Lu et al. 2025)Protocol: ClinVar pathogenic versus benign SNVs within variant type, AUROC (Lu et al. 2025)
Dataset subset: Lu et al. 2025 ClinVar benchmark: Intron (Non-splice) (Figure 1)
0.437 AUROC (ClinVar pathogenic vs benign SNVs, Intron (Non-splice))
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

DNABERT2 on ClinVar Intron (Non-splice) SNVs (Lu et al. 2025 Figure 1)

lu-hetero-20261019-protocol-clinvar-variant-type-auroc

Aggregation: Not reported

Genomic heterogeneity inflates the performance of variant pathogenicity predictions (Lu, Liu, Lin and Brandes, bioRxiv 2025, v2) · Figure 1 (page 8), column 1, panel 3 'Intron (Non-splice) (N=88,049, %P=1.60%)', row 'DNABERT2', bar label
Configuration: Evo 2 7B base, 8,192 bp log-likelihood ratio (Lu et al. 2025)Protocol: ClinVar pathogenic versus benign SNVs within variant type, AUROC (Lu et al. 2025)
Dataset subset: Lu et al. 2025 ClinVar benchmark: Intron (Non-splice) (Figure 1)
0.903 AUROC (ClinVar pathogenic vs benign SNVs, Intron (Non-splice))
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

Evo2 on ClinVar Intron (Non-splice) SNVs (Lu et al. 2025 Figure 1)

lu-hetero-20261019-protocol-clinvar-variant-type-auroc

Aggregation: Not reported

Genomic heterogeneity inflates the performance of variant pathogenicity predictions (Lu, Liu, Lin and Brandes, bioRxiv 2025, v2) · Figure 1 (page 8), column 1, panel 3 'Intron (Non-splice) (N=88,049, %P=1.60%)', row 'Evo2', bar label
Configuration: GPN-MSA precomputed hg38 scores (Lu et al. 2025)Protocol: ClinVar pathogenic versus benign SNVs within variant type, AUROC (Lu et al. 2025)
Dataset subset: Lu et al. 2025 ClinVar benchmark: Intron (Non-splice) (Figure 1)
0.885 AUROC (ClinVar pathogenic vs benign SNVs, Intron (Non-splice))
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

GPN-MSA on ClinVar Intron (Non-splice) SNVs (Lu et al. 2025 Figure 1)

lu-hetero-20261019-protocol-clinvar-variant-type-auroc

Aggregation: Not reported

Genomic heterogeneity inflates the performance of variant pathogenicity predictions (Lu, Liu, Lin and Brandes, bioRxiv 2025, v2) · Figure 1 (page 8), column 1, panel 3 'Intron (Non-splice) (N=88,049, %P=1.60%)', row 'GPN-MSA', bar label
Configuration: Nucleotide Transformer 2.5B multi-species, CLS embedding L2 distance (Lu et al. 2025)Protocol: ClinVar pathogenic versus benign SNVs within variant type, AUROC (Lu et al. 2025)
Dataset subset: Lu et al. 2025 ClinVar benchmark: Intron (Non-splice) (Figure 1)
0.75 AUROC (ClinVar pathogenic vs benign SNVs, Intron (Non-splice))
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

Nucleotide Transformer on ClinVar Intron (Non-splice) SNVs (Lu et al. 2025 Figure 1)

lu-hetero-20261019-protocol-clinvar-variant-type-auroc

Aggregation: Not reported

Genomic heterogeneity inflates the performance of variant pathogenicity predictions (Lu, Liu, Lin and Brandes, bioRxiv 2025, v2) · Figure 1 (page 8), column 1, panel 3 'Intron (Non-splice) (N=88,049, %P=1.60%)', row 'Nucleotide Transformer', bar label
Configuration: PhyloGPN, official example code (Lu et al. 2025)Protocol: ClinVar pathogenic versus benign SNVs within variant type, AUROC (Lu et al. 2025)
Dataset subset: Lu et al. 2025 ClinVar benchmark: Intron (Non-splice) (Figure 1)
0.846 AUROC (ClinVar pathogenic vs benign SNVs, Intron (Non-splice))
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

PhyloGPN on ClinVar Intron (Non-splice) SNVs (Lu et al. 2025 Figure 1)

lu-hetero-20261019-protocol-clinvar-variant-type-auroc

Aggregation: Not reported

Genomic heterogeneity inflates the performance of variant pathogenicity predictions (Lu, Liu, Lin and Brandes, bioRxiv 2025, v2) · Figure 1 (page 8), column 1, panel 3 'Intron (Non-splice) (N=88,049, %P=1.60%)', row 'PhyloGPN', bar label
Configuration: PhyloP 100-way vertebrate (Lu et al. 2025)Protocol: ClinVar pathogenic versus benign SNVs within variant type, AUROC (Lu et al. 2025)
Dataset subset: Lu et al. 2025 ClinVar benchmark: Intron (Non-splice) (Figure 1)
0.852 AUROC (ClinVar pathogenic vs benign SNVs, Intron (Non-splice))
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

PhyloP on ClinVar Intron (Non-splice) SNVs (Lu et al. 2025 Figure 1)

lu-hetero-20261019-protocol-clinvar-variant-type-auroc

Aggregation: Not reported

Genomic heterogeneity inflates the performance of variant pathogenicity predictions (Lu, Liu, Lin and Brandes, bioRxiv 2025, v2) · Figure 1 (page 8), column 1, panel 3 'Intron (Non-splice) (N=88,049, %P=1.60%)', row 'PhyloP', bar label
Configuration: AlphaGenome all outputs, quantile, maximum (Lu et al. 2025)Protocol: ClinVar pathogenic versus benign SNVs within variant type, AUROC (Lu et al. 2025)
Dataset subset: Lu et al. 2025 ClinVar benchmark: Missense (Figure 1)
0.56 AUROC (ClinVar pathogenic vs benign SNVs, Missense)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

AlphaGenome on ClinVar Missense SNVs (Lu et al. 2025 Figure 1)

lu-hetero-20261019-protocol-clinvar-variant-type-auroc

Aggregation: Not reported

Genomic heterogeneity inflates the performance of variant pathogenicity predictions (Lu, Liu, Lin and Brandes, bioRxiv 2025, v2) · Figure 1 (page 8), column 3, panel 1 'Missense (N=50,820, %P=40.09%)', row 'AlphaGenome', bar label
Configuration: AlphaMissense precomputed scores (Lu et al. 2025)Protocol: ClinVar pathogenic versus benign SNVs within variant type, AUROC (Lu et al. 2025)
Dataset subset: Lu et al. 2025 ClinVar benchmark: Missense (Figure 1)
0.959 AUROC (ClinVar pathogenic vs benign SNVs, Missense)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

AlphaMissense on ClinVar Missense SNVs (Lu et al. 2025 Figure 1)

lu-hetero-20261019-protocol-clinvar-variant-type-auroc

Aggregation: Not reported

Genomic heterogeneity inflates the performance of variant pathogenicity predictions (Lu, Liu, Lin and Brandes, bioRxiv 2025, v2) · Figure 1 (page 8), column 3, panel 1 'Missense (N=50,820, %P=40.09%)', row 'AlphaMissense', bar label
Configuration: AlphaGenome all outputs, quantile, maximum (Lu et al. 2025)Protocol: ClinVar pathogenic versus benign SNVs within variant type, AUROC (Lu et al. 2025)
Dataset subset: Lu et al. 2025 ClinVar benchmark: Missense & Intron (Non-splice) (Figure 1)
0.583 AUROC (ClinVar pathogenic vs benign SNVs, Missense & Intron (Non-splice))
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

AlphaGenome on ClinVar Missense & Intron (Non-splice) SNVs (Lu et al. 2025 Figure 1)

lu-hetero-20261019-protocol-clinvar-variant-type-auroc

Aggregation: Not reported

Genomic heterogeneity inflates the performance of variant pathogenicity predictions (Lu, Liu, Lin and Brandes, bioRxiv 2025, v2) · Figure 1 (page 8), column 3, panel 2 'Missense & Intron (Non-splice) (N=255, %P=17.91%)', row 'AlphaGenome', bar label
Configuration: AlphaMissense precomputed scores (Lu et al. 2025)Protocol: ClinVar pathogenic versus benign SNVs within variant type, AUROC (Lu et al. 2025)
Dataset subset: Lu et al. 2025 ClinVar benchmark: Missense & Intron (Non-splice) (Figure 1)
0.924 AUROC (ClinVar pathogenic vs benign SNVs, Missense & Intron (Non-splice))
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

AlphaMissense on ClinVar Missense & Intron (Non-splice) SNVs (Lu et al. 2025 Figure 1)

lu-hetero-20261019-protocol-clinvar-variant-type-auroc

Aggregation: Not reported

Genomic heterogeneity inflates the performance of variant pathogenicity predictions (Lu, Liu, Lin and Brandes, bioRxiv 2025, v2) · Figure 1 (page 8), column 3, panel 2 'Missense & Intron (Non-splice) (N=255, %P=17.91%)', row 'AlphaMissense', bar label
Configuration: DNABERT-2 117M, CLS embedding L2 distance (Lu et al. 2025)Protocol: ClinVar pathogenic versus benign SNVs within variant type, AUROC (Lu et al. 2025)
Dataset subset: Lu et al. 2025 ClinVar benchmark: Missense & Intron (Non-splice) (Figure 1)
0.449 AUROC (ClinVar pathogenic vs benign SNVs, Missense & Intron (Non-splice))
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

DNABERT2 on ClinVar Missense & Intron (Non-splice) SNVs (Lu et al. 2025 Figure 1)

lu-hetero-20261019-protocol-clinvar-variant-type-auroc

Aggregation: Not reported

Genomic heterogeneity inflates the performance of variant pathogenicity predictions (Lu, Liu, Lin and Brandes, bioRxiv 2025, v2) · Figure 1 (page 8), column 3, panel 2 'Missense & Intron (Non-splice) (N=255, %P=17.91%)', row 'DNABERT2', bar label
Configuration: ESM1b 650M log-likelihood ratio, Brandes et al. pipeline (Lu et al. 2025)Protocol: ClinVar pathogenic versus benign SNVs within variant type, AUROC (Lu et al. 2025)
Dataset subset: Lu et al. 2025 ClinVar benchmark: Missense & Intron (Non-splice) (Figure 1)
0.8 AUROC (ClinVar pathogenic vs benign SNVs, Missense & Intron (Non-splice))
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

ESM1b on ClinVar Missense & Intron (Non-splice) SNVs (Lu et al. 2025 Figure 1)

lu-hetero-20261019-protocol-clinvar-variant-type-auroc

Aggregation: Not reported

Genomic heterogeneity inflates the performance of variant pathogenicity predictions (Lu, Liu, Lin and Brandes, bioRxiv 2025, v2) · Figure 1 (page 8), column 3, panel 2 'Missense & Intron (Non-splice) (N=255, %P=17.91%)', row 'ESM1b', bar label
Configuration: ESM1v model 1 log-likelihood ratio, Brandes et al. pipeline (Lu et al. 2025)Protocol: ClinVar pathogenic versus benign SNVs within variant type, AUROC (Lu et al. 2025)
Dataset subset: Lu et al. 2025 ClinVar benchmark: Missense & Intron (Non-splice) (Figure 1)
0.769 AUROC (ClinVar pathogenic vs benign SNVs, Missense & Intron (Non-splice))
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

ESM1v on ClinVar Missense & Intron (Non-splice) SNVs (Lu et al. 2025 Figure 1)

lu-hetero-20261019-protocol-clinvar-variant-type-auroc

Aggregation: Not reported

Genomic heterogeneity inflates the performance of variant pathogenicity predictions (Lu, Liu, Lin and Brandes, bioRxiv 2025, v2) · Figure 1 (page 8), column 3, panel 2 'Missense & Intron (Non-splice) (N=255, %P=17.91%)', row 'ESM1v', bar label
Configuration: ESM2 650M log-likelihood ratio, Brandes et al. pipeline (Lu et al. 2025)Protocol: ClinVar pathogenic versus benign SNVs within variant type, AUROC (Lu et al. 2025)
Dataset subset: Lu et al. 2025 ClinVar benchmark: Missense & Intron (Non-splice) (Figure 1)
0.818 AUROC (ClinVar pathogenic vs benign SNVs, Missense & Intron (Non-splice))
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

ESM2 on ClinVar Missense & Intron (Non-splice) SNVs (Lu et al. 2025 Figure 1)

lu-hetero-20261019-protocol-clinvar-variant-type-auroc

Aggregation: Not reported

Genomic heterogeneity inflates the performance of variant pathogenicity predictions (Lu, Liu, Lin and Brandes, bioRxiv 2025, v2) · Figure 1 (page 8), column 3, panel 2 'Missense & Intron (Non-splice) (N=255, %P=17.91%)', row 'ESM2', bar label
Configuration: Evo 2 7B base, 8,192 bp log-likelihood ratio (Lu et al. 2025)Protocol: ClinVar pathogenic versus benign SNVs within variant type, AUROC (Lu et al. 2025)
Dataset subset: Lu et al. 2025 ClinVar benchmark: Missense & Intron (Non-splice) (Figure 1)
0.835 AUROC (ClinVar pathogenic vs benign SNVs, Missense & Intron (Non-splice))
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

Evo2 on ClinVar Missense & Intron (Non-splice) SNVs (Lu et al. 2025 Figure 1)

lu-hetero-20261019-protocol-clinvar-variant-type-auroc

Aggregation: Not reported

Genomic heterogeneity inflates the performance of variant pathogenicity predictions (Lu, Liu, Lin and Brandes, bioRxiv 2025, v2) · Figure 1 (page 8), column 3, panel 2 'Missense & Intron (Non-splice) (N=255, %P=17.91%)', row 'Evo2', bar label
Configuration: GPN-MSA precomputed hg38 scores (Lu et al. 2025)Protocol: ClinVar pathogenic versus benign SNVs within variant type, AUROC (Lu et al. 2025)
Dataset subset: Lu et al. 2025 ClinVar benchmark: Missense & Intron (Non-splice) (Figure 1)
0.896 AUROC (ClinVar pathogenic vs benign SNVs, Missense & Intron (Non-splice))
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

GPN-MSA on ClinVar Missense & Intron (Non-splice) SNVs (Lu et al. 2025 Figure 1)

lu-hetero-20261019-protocol-clinvar-variant-type-auroc

Aggregation: Not reported

Genomic heterogeneity inflates the performance of variant pathogenicity predictions (Lu, Liu, Lin and Brandes, bioRxiv 2025, v2) · Figure 1 (page 8), column 3, panel 2 'Missense & Intron (Non-splice) (N=255, %P=17.91%)', row 'GPN-MSA', bar label

Source checking is not independent reproduction. Release 2026-11-02-a7f03c9e55a5.

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External evaluations
132

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Technical metadata and extraction receipts

Stable ID: lu-hetero-20261019-protocol-clinvar-variant-type-auroc

areas
dna-genomes
contexts
clinical_research
metric
auroc
metric direction
higher
protocol
AUROC per variant group; scores multiplied by -1 where lower means more pathogenic (Evo2, GPN-MSA, PhyloGPN, ESM models); within each group, variants missing a score from any compared model are excluded, except stop-gains for PrimateAI-3D (19,795 of 42,408 scored).
source locator
Methods 'Calculating and comparing AUROC scores' (pages 12 to 13); Figure 1 legend
limitations
Canonical splice site is defined as intronic within 1 to 2 nt of an exon boundary.; Groups such as 'Missense & 3'UTR' hold variants with different effects on different transcripts.; No confidence intervals.; Benign ClinVar labels can be informed by some of the evaluated predictors; the paper does not address label circularity.
task link exemption
No task or benchmark in the store covers ClinVar pathogenicity across all variant types; left unlinked on purpose so the discrepancy rules treat its scope as unknown rather than guess (#208). Reviewed 2026-11-01.
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