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GPN-MSA precomputed hg38 scores (Lu et al. 2025)

GPN-MSA precomputed scores for all GRCh38 SNVs from the authors' Hugging Face dataset.

14 evaluations · 14 results1 open disagreement between studies involves its model

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.

Evaluations and results

14 evaluations · 14 results. Different protocols are not a single leaderboard.

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

Sorted by AUROC (ClinVar pathogenic vs benign SNVs, 3' UTR) (higher is better). The best value in each column is highlighted. Decimals are rounded for display; each value links to the printed value and its source.

Tested configurationProtocol and datasetAUROC (ClinVar pathogenic vs benign SNVs, 3' UTR)AUROC (ClinVar pathogenic vs benign SNVs, 5' UTR)AUROC (ClinVar pathogenic vs benign SNVs, All variants)AUROC (ClinVar pathogenic vs benign SNVs, Intron (Non-splice))AUROC (ClinVar pathogenic vs benign SNVs, Missense & 3'UTR)AUROC (ClinVar pathogenic vs benign SNVs, Missense & Intron (Non-splice))AUROC (ClinVar pathogenic vs benign SNVs, Missense)AUROC (ClinVar pathogenic vs benign SNVs, Noncoding)AUROC (ClinVar pathogenic vs benign SNVs, RNA gene)AUROC (ClinVar pathogenic vs benign SNVs, Splice)AUROC (ClinVar pathogenic vs benign SNVs, Start loss)AUROC (ClinVar pathogenic vs benign SNVs, Stop gain)AUROC (ClinVar pathogenic vs benign SNVs, Stop loss)AUROC (ClinVar pathogenic vs benign SNVs, Synonymous)
GPN-MSA precomputed hg38 scores (Lu et al. 2025)EvaluationLu et al. 2025 ClinVar benchmark: 3' UTR (Figure 1)0.908Not reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reported
GPN-MSA precomputed hg38 scores (Lu et al. 2025)EvaluationLu et al. 2025 ClinVar benchmark: All variants (Figure 1)Not reportedNot reported0.96Not reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reported
GPN-MSA precomputed hg38 scores (Lu et al. 2025)EvaluationLu et al. 2025 ClinVar benchmark: Intron (Non-splice) (Figure 1)Not reportedNot reportedNot reported0.885Not reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reported
GPN-MSA precomputed hg38 scores (Lu et al. 2025)EvaluationLu et al. 2025 ClinVar benchmark: Missense & Intron (Non-splice) (Figure 1)Not reportedNot reportedNot reportedNot reportedNot reported0.896Not reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reported
GPN-MSA precomputed hg38 scores (Lu et al. 2025)EvaluationLu et al. 2025 ClinVar benchmark: Missense & 3'UTR (Figure 1)Not reportedNot reportedNot reportedNot reported0.887Not reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reported
GPN-MSA precomputed hg38 scores (Lu et al. 2025)EvaluationLu et al. 2025 ClinVar benchmark: Missense (Figure 1)Not reportedNot reportedNot reportedNot reportedNot reportedNot reported0.906Not reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reported
GPN-MSA precomputed hg38 scores (Lu et al. 2025)EvaluationLu et al. 2025 ClinVar benchmark: Noncoding (Figure 1)Not reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reported0.981Not reportedNot reportedNot reportedNot reportedNot reportedNot reported
GPN-MSA precomputed hg38 scores (Lu et al. 2025)EvaluationLu et al. 2025 ClinVar benchmark: RNA gene (Figure 1)Not reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reported0.938Not reportedNot reportedNot reportedNot reportedNot reported
GPN-MSA precomputed hg38 scores (Lu et al. 2025)EvaluationLu et al. 2025 ClinVar benchmark: Splice (Figure 1)Not reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reported0.775Not reportedNot reportedNot reportedNot reported
GPN-MSA precomputed hg38 scores (Lu et al. 2025)EvaluationLu et al. 2025 ClinVar benchmark: Start loss (Figure 1)Not reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reported0.769Not reportedNot reportedNot reported
GPN-MSA precomputed hg38 scores (Lu et al. 2025)EvaluationLu et al. 2025 ClinVar benchmark: Stop gain (Figure 1)Not reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reported0.783Not reportedNot reported
GPN-MSA precomputed hg38 scores (Lu et al. 2025)EvaluationLu et al. 2025 ClinVar benchmark: Stop loss (Figure 1)Not reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reported0.888Not reported
GPN-MSA precomputed hg38 scores (Lu et al. 2025)EvaluationLu et al. 2025 ClinVar benchmark: Synonymous (Figure 1)Not reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reported0.882
GPN-MSA precomputed hg38 scores (Lu et al. 2025)EvaluationLu et al. 2025 ClinVar benchmark: 5' UTR (Figure 1)Not reported0.728Not reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reported
All 14 result rows with coverage, uncertainty and sources
Filter evaluations

Applied filters: All linked evaluations

Exact evaluated configurations and original reported results
Tested configurationProtocol and datasetFindingEvidence and details
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: 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: 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
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 & 3'UTR (Figure 1)
0.887 AUROC (ClinVar pathogenic vs benign SNVs, Missense & 3'UTR)
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 & 3'UTR 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 3 'Missense & 3'UTR (N=117, %P=40.97%)', row 'GPN-MSA', 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 (Figure 1)
0.906 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

GPN-MSA 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 'GPN-MSA', 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: Noncoding (Figure 1)
0.981 AUROC (ClinVar pathogenic vs benign SNVs, Noncoding)
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 Noncoding 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 2 'Noncoding (N=118,256, %P=10.69%)', row 'GPN-MSA', 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: RNA gene (Figure 1)
0.938 AUROC (ClinVar pathogenic vs benign SNVs, RNA gene)
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 RNA gene 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 2, panel 2 'RNA gene (N=131, %P=25.95%)', row 'GPN-MSA', 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: Splice (Figure 1)
0.775 AUROC (ClinVar pathogenic vs benign SNVs, 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 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 4 'Splice (N=11,042, %P=99.30%)', row 'GPN-MSA', 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: Start loss (Figure 1)
0.769 AUROC (ClinVar pathogenic vs benign SNVs, Start loss)
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 Start loss 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 2, panel 5 'Start loss (N=847, %P=97.53%)', row 'GPN-MSA', 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: Stop gain (Figure 1)
0.783 AUROC (ClinVar pathogenic vs benign SNVs, Stop gain)
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 Stop gain 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 4 'Stop gain (N=42,408, %P=98.13%)', row 'GPN-MSA', 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: Stop loss (Figure 1)
0.888 AUROC (ClinVar pathogenic vs benign SNVs, Stop loss)
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 Stop loss 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 2, panel 4 'Stop loss (N=94, %P=75.53%)', row 'GPN-MSA', 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: Synonymous (Figure 1)
0.882 AUROC (ClinVar pathogenic vs benign SNVs, Synonymous)
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 Synonymous 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 2, panel 3 'Synonymous (N=42,139, %P=0.66%)', row 'GPN-MSA', 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: 3' UTR (Figure 1)
0.908 AUROC (ClinVar pathogenic vs benign SNVs, 3' UTR)
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 3' UTR 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 5 '3' UTR (N=11,851, %P=0.21%)', row 'GPN-MSA', 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: 5' UTR (Figure 1)
0.728 AUROC (ClinVar pathogenic vs benign SNVs, 5' UTR)
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 5' UTR 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 2, panel 1 '5' UTR (N=2,471, %P=2.38%)', row 'GPN-MSA', bar label

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

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Release 2026-11-02-a7f03c9e55a5 · Record review: source checked

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Technical metadata and extraction receipts

Stable ID: lu-hetero-20261019-config-gpn-msa-precomputed

areas
dna-genomes
contexts
clinical_research
method types
foundation_model
reported name
GPN-MSA
parameters
songlab/gpn-msa-hg38-scores scores.tsv.bgz; score multiplied by -1.
source locator
Methods 'GPN-MSA' (page 14)
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