Configuration

GADO default, singleton (Yuan et al. 2022)

GADO default, singleton: version 1.0.1; Default parameters; input HPO only; singleton proband analysis.

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Evaluations and results

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

Sorted by Top-1 accuracy (proportion of solved cases with the causal gene within the tool's top-ranked genes) (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 configuration	Protocol and dataset	Top-1 accuracy (proportion of solved cases with the causal gene within the tool's top-ranked genes)	Top-10 accuracy (proportion of solved cases with the causal gene within the tool's top-ranked genes)	Top-20 accuracy (proportion of solved cases with the causal gene within the tool's top-ranked genes)	Top-30 accuracy (proportion of solved cases with the causal gene within the tool's top-ranked genes)	Top-40 accuracy (proportion of solved cases with the causal gene within the tool's top-ranked genes)	Top-5 accuracy (proportion of solved cases with the causal gene within the tool's top-ranked genes)	Top-50 accuracy (proportion of solved cases with the causal gene within the tool's top-ranked genes)
GADO default, singleton (Yuan et al. 2022)Evaluation	Causal-gene rank in 305 DDD exomes, default singleton runs (Yuan et al. 2022 SM Table 3), DDD 305 solved probands (Yuan et al. selection)	0.3% (best in column)	2.3% (best in column)	3.6% (best in column)	4.3% (best in column)	5.6% (best in column)	1.3% (best in column)	6.6% (best in column)
GADO default, singleton (Yuan et al. 2022)Evaluation	Causal-gene rank in 209 in-house exomes, default singleton runs (Yuan et al. 2022 SM Table 3), KingMed Changsha in-house cohort, 209 solved cases (Yuan et al. 2022)	0%	1%	2.4%	2.9%	3.8%	1%	3.8%

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Exact evaluated configurations and original reported results
Tested configuration	Protocol and dataset	Finding	Evidence and details
Configuration: GADO default, singleton (Yuan et al. 2022)	Protocol: Causal-gene rank in 305 DDD exomes, default singleton runs (Yuan et al. 2022 SM Table 3) Dataset: DDD 305 solved probands (Yuan et al. selection)	0.3% Top-1 accuracy (proportion of solved cases with the causal gene within the tool's top-ranked genes) percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source GADO default singleton on DDD 305 rare-ranking-20261009-protocol-yuan2022-ddd-singleton-default Aggregation: Not reported Evaluation of phenotype-driven gene prioritization methods for Mendelian diseases; Yuan et al. 2022, SM Table 3 (accuracy in each top level experiment) · SM Table 3 row 9 (DDD, GADO), column 'TOP 1(%)'
Configuration: GADO default, singleton (Yuan et al. 2022)	Protocol: Causal-gene rank in 305 DDD exomes, default singleton runs (Yuan et al. 2022 SM Table 3) Dataset: DDD 305 solved probands (Yuan et al. selection)	2.3% Top-10 accuracy (proportion of solved cases with the causal gene within the tool's top-ranked genes) percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source GADO default singleton on DDD 305 rare-ranking-20261009-protocol-yuan2022-ddd-singleton-default Aggregation: Not reported Evaluation of phenotype-driven gene prioritization methods for Mendelian diseases; Yuan et al. 2022, SM Table 3 (accuracy in each top level experiment) · SM Table 3 row 9 (DDD, GADO), column 'TOP 10(%)'
Configuration: GADO default, singleton (Yuan et al. 2022)	Protocol: Causal-gene rank in 305 DDD exomes, default singleton runs (Yuan et al. 2022 SM Table 3) Dataset: DDD 305 solved probands (Yuan et al. selection)	3.6% Top-20 accuracy (proportion of solved cases with the causal gene within the tool's top-ranked genes) percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source GADO default singleton on DDD 305 rare-ranking-20261009-protocol-yuan2022-ddd-singleton-default Aggregation: Not reported Evaluation of phenotype-driven gene prioritization methods for Mendelian diseases; Yuan et al. 2022, SM Table 3 (accuracy in each top level experiment) · SM Table 3 row 9 (DDD, GADO), column 'TOP 20(%)'
Configuration: GADO default, singleton (Yuan et al. 2022)	Protocol: Causal-gene rank in 305 DDD exomes, default singleton runs (Yuan et al. 2022 SM Table 3) Dataset: DDD 305 solved probands (Yuan et al. selection)	4.3% Top-30 accuracy (proportion of solved cases with the causal gene within the tool's top-ranked genes) percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source GADO default singleton on DDD 305 rare-ranking-20261009-protocol-yuan2022-ddd-singleton-default Aggregation: Not reported Evaluation of phenotype-driven gene prioritization methods for Mendelian diseases; Yuan et al. 2022, SM Table 3 (accuracy in each top level experiment) · SM Table 3 row 9 (DDD, GADO), column 'TOP 30(%)'
Configuration: GADO default, singleton (Yuan et al. 2022)	Protocol: Causal-gene rank in 305 DDD exomes, default singleton runs (Yuan et al. 2022 SM Table 3) Dataset: DDD 305 solved probands (Yuan et al. selection)	5.6% Top-40 accuracy (proportion of solved cases with the causal gene within the tool's top-ranked genes) percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source GADO default singleton on DDD 305 rare-ranking-20261009-protocol-yuan2022-ddd-singleton-default Aggregation: Not reported Evaluation of phenotype-driven gene prioritization methods for Mendelian diseases; Yuan et al. 2022, SM Table 3 (accuracy in each top level experiment) · SM Table 3 row 9 (DDD, GADO), column 'TOP 40(%)'
Configuration: GADO default, singleton (Yuan et al. 2022)	Protocol: Causal-gene rank in 305 DDD exomes, default singleton runs (Yuan et al. 2022 SM Table 3) Dataset: DDD 305 solved probands (Yuan et al. selection)	1.3% Top-5 accuracy (proportion of solved cases with the causal gene within the tool's top-ranked genes) percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source GADO default singleton on DDD 305 rare-ranking-20261009-protocol-yuan2022-ddd-singleton-default Aggregation: Not reported Evaluation of phenotype-driven gene prioritization methods for Mendelian diseases; Yuan et al. 2022, SM Table 3 (accuracy in each top level experiment) · SM Table 3 row 9 (DDD, GADO), column 'TOP 5(%)'
Configuration: GADO default, singleton (Yuan et al. 2022)	Protocol: Causal-gene rank in 305 DDD exomes, default singleton runs (Yuan et al. 2022 SM Table 3) Dataset: DDD 305 solved probands (Yuan et al. selection)	6.6% Top-50 accuracy (proportion of solved cases with the causal gene within the tool's top-ranked genes) percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source GADO default singleton on DDD 305 rare-ranking-20261009-protocol-yuan2022-ddd-singleton-default Aggregation: Not reported Evaluation of phenotype-driven gene prioritization methods for Mendelian diseases; Yuan et al. 2022, SM Table 3 (accuracy in each top level experiment) · SM Table 3 row 9 (DDD, GADO), column 'TOP 50(%)'
Configuration: GADO default, singleton (Yuan et al. 2022)	Protocol: Causal-gene rank in 209 in-house exomes, default singleton runs (Yuan et al. 2022 SM Table 3) Dataset: KingMed Changsha in-house cohort, 209 solved cases (Yuan et al. 2022)	0% Top-1 accuracy (proportion of solved cases with the causal gene within the tool's top-ranked genes) percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source GADO default singleton on KMCGD 209 rare-ranking-20261009-protocol-yuan2022-kmcgd-singleton-default Aggregation: Not reported Evaluation of phenotype-driven gene prioritization methods for Mendelian diseases; Yuan et al. 2022, SM Table 3 (accuracy in each top level experiment) · SM Table 3 row 20 (KMCGD, GADO), column 'TOP 1(%)'
Configuration: GADO default, singleton (Yuan et al. 2022)	Protocol: Causal-gene rank in 209 in-house exomes, default singleton runs (Yuan et al. 2022 SM Table 3) Dataset: KingMed Changsha in-house cohort, 209 solved cases (Yuan et al. 2022)	1% Top-10 accuracy (proportion of solved cases with the causal gene within the tool's top-ranked genes) percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source GADO default singleton on KMCGD 209 rare-ranking-20261009-protocol-yuan2022-kmcgd-singleton-default Aggregation: Not reported Evaluation of phenotype-driven gene prioritization methods for Mendelian diseases; Yuan et al. 2022, SM Table 3 (accuracy in each top level experiment) · SM Table 3 row 20 (KMCGD, GADO), column 'TOP 10(%)'
Configuration: GADO default, singleton (Yuan et al. 2022)	Protocol: Causal-gene rank in 209 in-house exomes, default singleton runs (Yuan et al. 2022 SM Table 3) Dataset: KingMed Changsha in-house cohort, 209 solved cases (Yuan et al. 2022)	2.4% Top-20 accuracy (proportion of solved cases with the causal gene within the tool's top-ranked genes) percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source GADO default singleton on KMCGD 209 rare-ranking-20261009-protocol-yuan2022-kmcgd-singleton-default Aggregation: Not reported Evaluation of phenotype-driven gene prioritization methods for Mendelian diseases; Yuan et al. 2022, SM Table 3 (accuracy in each top level experiment) · SM Table 3 row 20 (KMCGD, GADO), column 'TOP 20(%)'
Configuration: GADO default, singleton (Yuan et al. 2022)	Protocol: Causal-gene rank in 209 in-house exomes, default singleton runs (Yuan et al. 2022 SM Table 3) Dataset: KingMed Changsha in-house cohort, 209 solved cases (Yuan et al. 2022)	2.9% Top-30 accuracy (proportion of solved cases with the causal gene within the tool's top-ranked genes) percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source GADO default singleton on KMCGD 209 rare-ranking-20261009-protocol-yuan2022-kmcgd-singleton-default Aggregation: Not reported Evaluation of phenotype-driven gene prioritization methods for Mendelian diseases; Yuan et al. 2022, SM Table 3 (accuracy in each top level experiment) · SM Table 3 row 20 (KMCGD, GADO), column 'TOP 30(%)'
Configuration: GADO default, singleton (Yuan et al. 2022)	Protocol: Causal-gene rank in 209 in-house exomes, default singleton runs (Yuan et al. 2022 SM Table 3) Dataset: KingMed Changsha in-house cohort, 209 solved cases (Yuan et al. 2022)	3.8% Top-40 accuracy (proportion of solved cases with the causal gene within the tool's top-ranked genes) percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source GADO default singleton on KMCGD 209 rare-ranking-20261009-protocol-yuan2022-kmcgd-singleton-default Aggregation: Not reported Evaluation of phenotype-driven gene prioritization methods for Mendelian diseases; Yuan et al. 2022, SM Table 3 (accuracy in each top level experiment) · SM Table 3 row 20 (KMCGD, GADO), column 'TOP 40(%)'
Configuration: GADO default, singleton (Yuan et al. 2022)	Protocol: Causal-gene rank in 209 in-house exomes, default singleton runs (Yuan et al. 2022 SM Table 3) Dataset: KingMed Changsha in-house cohort, 209 solved cases (Yuan et al. 2022)	1% Top-5 accuracy (proportion of solved cases with the causal gene within the tool's top-ranked genes) percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source GADO default singleton on KMCGD 209 rare-ranking-20261009-protocol-yuan2022-kmcgd-singleton-default Aggregation: Not reported Evaluation of phenotype-driven gene prioritization methods for Mendelian diseases; Yuan et al. 2022, SM Table 3 (accuracy in each top level experiment) · SM Table 3 row 20 (KMCGD, GADO), column 'TOP 5(%)'
Configuration: GADO default, singleton (Yuan et al. 2022)	Protocol: Causal-gene rank in 209 in-house exomes, default singleton runs (Yuan et al. 2022 SM Table 3) Dataset: KingMed Changsha in-house cohort, 209 solved cases (Yuan et al. 2022)	3.8% Top-50 accuracy (proportion of solved cases with the causal gene within the tool's top-ranked genes) percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source GADO default singleton on KMCGD 209 rare-ranking-20261009-protocol-yuan2022-kmcgd-singleton-default Aggregation: Not reported Evaluation of phenotype-driven gene prioritization methods for Mendelian diseases; Yuan et al. 2022, SM Table 3 (accuracy in each top level experiment) · SM Table 3 row 20 (KMCGD, GADO), column 'TOP 50(%)'

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

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Evaluation of phenotype-driven gene prioritization methods for Mendelian diseases · Original source · Briefings in Bioinformatics 23(2):bbac019, published 2022-02-04; PMC8921623 full-text XML
Yuan et al. 2022, SM Table 3 (accuracy in each top level experiment) · Original source · sm_table_3_r1_bbac019.docx inside the Europe PMC supplementaryFiles zip for PMC8921623

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Technical metadata and extraction receipts

Stable ID: rare-ranking-20261009-config-yuan2022-gado

areas: dna-genomes
contexts: clinical_research
method types: supervised_machine_learning
reported name: GADO default, singleton (Yuan et al. 2022)
foundation model eligible: false
version: 1.0.1
parameters: Default parameters; input HPO only; singleton proband analysis
source locator: Table 2 row 'GADO'; SM Table 3 row 'GADO'
provenance note: GADO default, singleton (Yuan et al. 2022) as evaluated in the cited comparison.

Related records

configuration of: GADO
system: GADO default singleton on DDD 305
system: GADO default singleton on KMCGD 209

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