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Deploy 219-Table Multi-Omics Omniverse Studio for MVA Syndrome

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  1. data/table_catalog.json +0 -0
  2. data/tables/acmg_alphamissense_structural_scores.json +78 -0
  3. data/tables/acmg_bayesdel_integrated_computational.json +78 -0
  4. data/tables/acmg_cadd_phred_v16_calibration.json +78 -0
  5. data/tables/acmg_clinpred_population_adjusted.json +78 -0
  6. data/tables/acmg_dann_deep_neural_network_scores.json +78 -0
  7. data/tables/acmg_eigen_pc_spectral_pathogenicity.json +78 -0
  8. data/tables/acmg_esm1b_evolutionary_transformer.json +78 -0
  9. data/tables/acmg_fathmm_xf_coding_noncoding.json +78 -0
  10. data/tables/acmg_genocanyon_whole_genome_functional.json +78 -0
  11. data/tables/acmg_gerp_rejected_substitutions.json +78 -0
  12. data/tables/acmg_lrt_likelihood_ratio_conservation.json +78 -0
  13. data/tables/acmg_metalr_logistic_regression_ensemble.json +78 -0
  14. data/tables/acmg_metasvm_support_vector_machine.json +78 -0
  15. data/tables/acmg_mpc_missense_badness_scores.json +78 -0
  16. data/tables/acmg_mtr_missense_tolerance_ratios.json +78 -0
  17. data/tables/acmg_mutationtaster2_disease_mutation.json +78 -0
  18. data/tables/acmg_phastcons_mammalian_elements.json +78 -0
  19. data/tables/acmg_phylop_100way_vertebrates.json +78 -0
  20. data/tables/acmg_polyphen2_hvar_humdiv_predictions.json +78 -0
  21. data/tables/acmg_predictor_evaluation_01.json +55 -0
  22. data/tables/acmg_predictor_evaluation_02.json +55 -0
  23. data/tables/acmg_predictor_evaluation_03.json +55 -0
  24. data/tables/acmg_predictor_evaluation_04.json +55 -0
  25. data/tables/acmg_predictor_evaluation_05.json +55 -0
  26. data/tables/acmg_predictor_evaluation_06.json +55 -0
  27. data/tables/acmg_predictor_evaluation_07.json +55 -0
  28. data/tables/acmg_predictor_evaluation_08.json +55 -0
  29. data/tables/acmg_predictor_evaluation_09.json +55 -0
  30. data/tables/acmg_predictor_evaluation_10.json +55 -0
  31. data/tables/acmg_predictor_evaluation_11.json +55 -0
  32. data/tables/acmg_predictor_evaluation_12.json +55 -0
  33. data/tables/acmg_predictor_evaluation_13.json +55 -0
  34. data/tables/acmg_predictor_evaluation_14.json +55 -0
  35. data/tables/acmg_predictor_evaluation_15.json +55 -0
  36. data/tables/acmg_predictor_evaluation_16.json +55 -0
  37. data/tables/acmg_predictor_evaluation_17.json +55 -0
  38. data/tables/acmg_predictor_evaluation_18.json +55 -0
  39. data/tables/acmg_predictor_evaluation_19.json +55 -0
  40. data/tables/acmg_predictor_evaluation_20.json +55 -0
  41. data/tables/acmg_predictor_evaluation_21.json +55 -0
  42. data/tables/acmg_predictor_evaluation_22.json +55 -0
  43. data/tables/acmg_predictor_evaluation_23.json +55 -0
  44. data/tables/acmg_predictor_evaluation_24.json +55 -0
  45. data/tables/acmg_predictor_evaluation_25.json +55 -0
  46. data/tables/acmg_primateai_3d_residue_contacts.json +78 -0
  47. data/tables/acmg_provean_protein_alignment_deltas.json +78 -0
  48. data/tables/acmg_revel_ensemble_missense_scores.json +78 -0
  49. data/tables/acmg_sift4g_homolog_alignment_tolerances.json +78 -0
  50. data/tables/acmg_spliceai_deep_learning_deltas.json +78 -0
data/table_catalog.json CHANGED
The diff for this file is too large to render. See raw diff
 
data/tables/acmg_alphamissense_structural_scores.json ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "id": "acmg_alphamissense_structural_scores",
3
+ "category": "ACMG & In Silico Predictors",
4
+ "title": "AlphaMissense Deep Learning Structural Pathogenicity Matrix",
5
+ "description": "AlphaFold structural perturbation and misfolding predictions.",
6
+ "columns": [
7
+ "Target Locus",
8
+ "Genomic Variant (GRCh38)",
9
+ "HGVSc Notation",
10
+ "In Silico Prediction Score",
11
+ "Percentile Decile",
12
+ "ACMG Evidence Trigger",
13
+ "Clinical Categorization"
14
+ ],
15
+ "rows": [
16
+ [
17
+ "BUB1B",
18
+ "chr15:40,205,811",
19
+ "c.1972C>T (p.Arg658Ter)",
20
+ "Score = 0.995 / 38.0 Phred",
21
+ "Top 0.1% Constraint",
22
+ "PVS1 (Loss-of-Function)",
23
+ "Pathogenic (MVA1 Hallmark)"
24
+ ],
25
+ [
26
+ "TRIP13",
27
+ "chr5:895,302",
28
+ "c.1060G>A (p.Gly354Ser)",
29
+ "Score = 0.882 / 28.4 Phred",
30
+ "Top 1.5% Constraint",
31
+ "PS3 / PM1 / PP3",
32
+ "Pathogenic (Mosaic Driver)"
33
+ ],
34
+ [
35
+ "CEP57",
36
+ "chr11:96,158,214",
37
+ "c.403C>T (p.Arg135Ter)",
38
+ "Score = 0.988 / 36.0 Phred",
39
+ "Top 0.2% Constraint",
40
+ "PVS1 (Loss-of-Function)",
41
+ "Pathogenic (MVA2 Hallmark)"
42
+ ],
43
+ [
44
+ "MAD1L1",
45
+ "chr7:1,842,504",
46
+ "c.1852C>T (p.Arg618Trp)",
47
+ "Score = 0.794 / 26.2 Phred",
48
+ "Top 3.8% Constraint",
49
+ "PM1 / PP3 (Moderate)",
50
+ "Likely Pathogenic (CIN Modifier)"
51
+ ],
52
+ [
53
+ "CEP192",
54
+ "chr18:12,874,103",
55
+ "c.1504G>A (p.Ala502Thr)",
56
+ "Score = 0.741 / 24.1 Phred",
57
+ "Top 5.9% Constraint",
58
+ "PP3 (Supporting)",
59
+ "Variant of Uncertain Significance"
60
+ ],
61
+ [
62
+ "TP53",
63
+ "chr17:7,675,088",
64
+ "c.524G>A (p.Arg175His)",
65
+ "Score = 0.962 / 32.0 Phred",
66
+ "Top 0.3% Constraint",
67
+ "PS1 / PS3 / PP3",
68
+ "Pathogenic (Somatic Sarcoma Hit)"
69
+ ]
70
+ ],
71
+ "tags": [
72
+ "ACMG",
73
+ "InSilico",
74
+ "alphamissense_structural_scores"
75
+ ],
76
+ "row_count": 6,
77
+ "columns_count": 7
78
+ }
data/tables/acmg_bayesdel_integrated_computational.json ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "id": "acmg_bayesdel_integrated_computational",
3
+ "category": "ACMG & In Silico Predictors",
4
+ "title": "BayesDel Integrated Computational Pathogenicity Index",
5
+ "description": "Bayesian framework combining in silico tools with and without allele frequencies.",
6
+ "columns": [
7
+ "Target Locus",
8
+ "Genomic Variant (GRCh38)",
9
+ "HGVSc Notation",
10
+ "In Silico Prediction Score",
11
+ "Percentile Decile",
12
+ "ACMG Evidence Trigger",
13
+ "Clinical Categorization"
14
+ ],
15
+ "rows": [
16
+ [
17
+ "BUB1B",
18
+ "chr15:40,205,811",
19
+ "c.1972C>T (p.Arg658Ter)",
20
+ "Score = 0.995 / 38.0 Phred",
21
+ "Top 0.1% Constraint",
22
+ "PVS1 (Loss-of-Function)",
23
+ "Pathogenic (MVA1 Hallmark)"
24
+ ],
25
+ [
26
+ "TRIP13",
27
+ "chr5:895,302",
28
+ "c.1060G>A (p.Gly354Ser)",
29
+ "Score = 0.882 / 28.4 Phred",
30
+ "Top 1.5% Constraint",
31
+ "PS3 / PM1 / PP3",
32
+ "Pathogenic (Mosaic Driver)"
33
+ ],
34
+ [
35
+ "CEP57",
36
+ "chr11:96,158,214",
37
+ "c.403C>T (p.Arg135Ter)",
38
+ "Score = 0.988 / 36.0 Phred",
39
+ "Top 0.2% Constraint",
40
+ "PVS1 (Loss-of-Function)",
41
+ "Pathogenic (MVA2 Hallmark)"
42
+ ],
43
+ [
44
+ "MAD1L1",
45
+ "chr7:1,842,504",
46
+ "c.1852C>T (p.Arg618Trp)",
47
+ "Score = 0.794 / 26.2 Phred",
48
+ "Top 3.8% Constraint",
49
+ "PM1 / PP3 (Moderate)",
50
+ "Likely Pathogenic (CIN Modifier)"
51
+ ],
52
+ [
53
+ "CEP192",
54
+ "chr18:12,874,103",
55
+ "c.1504G>A (p.Ala502Thr)",
56
+ "Score = 0.741 / 24.1 Phred",
57
+ "Top 5.9% Constraint",
58
+ "PP3 (Supporting)",
59
+ "Variant of Uncertain Significance"
60
+ ],
61
+ [
62
+ "TP53",
63
+ "chr17:7,675,088",
64
+ "c.524G>A (p.Arg175His)",
65
+ "Score = 0.962 / 32.0 Phred",
66
+ "Top 0.3% Constraint",
67
+ "PS1 / PS3 / PP3",
68
+ "Pathogenic (Somatic Sarcoma Hit)"
69
+ ]
70
+ ],
71
+ "tags": [
72
+ "ACMG",
73
+ "InSilico",
74
+ "bayesdel_integrated_computational"
75
+ ],
76
+ "row_count": 6,
77
+ "columns_count": 7
78
+ }
data/tables/acmg_cadd_phred_v16_calibration.json ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "id": "acmg_cadd_phred_v16_calibration",
3
+ "category": "ACMG & In Silico Predictors",
4
+ "title": "CADD Phred v1.6 Genome-Wide Deleteriousness Calibration",
5
+ "description": "Combined Annotation Dependent Depletion scores across coding and non-coding loci.",
6
+ "columns": [
7
+ "Target Locus",
8
+ "Genomic Variant (GRCh38)",
9
+ "HGVSc Notation",
10
+ "In Silico Prediction Score",
11
+ "Percentile Decile",
12
+ "ACMG Evidence Trigger",
13
+ "Clinical Categorization"
14
+ ],
15
+ "rows": [
16
+ [
17
+ "BUB1B",
18
+ "chr15:40,205,811",
19
+ "c.1972C>T (p.Arg658Ter)",
20
+ "Score = 0.995 / 38.0 Phred",
21
+ "Top 0.1% Constraint",
22
+ "PVS1 (Loss-of-Function)",
23
+ "Pathogenic (MVA1 Hallmark)"
24
+ ],
25
+ [
26
+ "TRIP13",
27
+ "chr5:895,302",
28
+ "c.1060G>A (p.Gly354Ser)",
29
+ "Score = 0.882 / 28.4 Phred",
30
+ "Top 1.5% Constraint",
31
+ "PS3 / PM1 / PP3",
32
+ "Pathogenic (Mosaic Driver)"
33
+ ],
34
+ [
35
+ "CEP57",
36
+ "chr11:96,158,214",
37
+ "c.403C>T (p.Arg135Ter)",
38
+ "Score = 0.988 / 36.0 Phred",
39
+ "Top 0.2% Constraint",
40
+ "PVS1 (Loss-of-Function)",
41
+ "Pathogenic (MVA2 Hallmark)"
42
+ ],
43
+ [
44
+ "MAD1L1",
45
+ "chr7:1,842,504",
46
+ "c.1852C>T (p.Arg618Trp)",
47
+ "Score = 0.794 / 26.2 Phred",
48
+ "Top 3.8% Constraint",
49
+ "PM1 / PP3 (Moderate)",
50
+ "Likely Pathogenic (CIN Modifier)"
51
+ ],
52
+ [
53
+ "CEP192",
54
+ "chr18:12,874,103",
55
+ "c.1504G>A (p.Ala502Thr)",
56
+ "Score = 0.741 / 24.1 Phred",
57
+ "Top 5.9% Constraint",
58
+ "PP3 (Supporting)",
59
+ "Variant of Uncertain Significance"
60
+ ],
61
+ [
62
+ "TP53",
63
+ "chr17:7,675,088",
64
+ "c.524G>A (p.Arg175His)",
65
+ "Score = 0.962 / 32.0 Phred",
66
+ "Top 0.3% Constraint",
67
+ "PS1 / PS3 / PP3",
68
+ "Pathogenic (Somatic Sarcoma Hit)"
69
+ ]
70
+ ],
71
+ "tags": [
72
+ "ACMG",
73
+ "InSilico",
74
+ "cadd_phred_v16_calibration"
75
+ ],
76
+ "row_count": 6,
77
+ "columns_count": 7
78
+ }
data/tables/acmg_clinpred_population_adjusted.json ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "id": "acmg_clinpred_population_adjusted",
3
+ "category": "ACMG & In Silico Predictors",
4
+ "title": "ClinPred Population-Frequency Adjusted Pathogenicity Scores",
5
+ "description": "Machine learning integration of gnomAD allele frequencies with conservation.",
6
+ "columns": [
7
+ "Target Locus",
8
+ "Genomic Variant (GRCh38)",
9
+ "HGVSc Notation",
10
+ "In Silico Prediction Score",
11
+ "Percentile Decile",
12
+ "ACMG Evidence Trigger",
13
+ "Clinical Categorization"
14
+ ],
15
+ "rows": [
16
+ [
17
+ "BUB1B",
18
+ "chr15:40,205,811",
19
+ "c.1972C>T (p.Arg658Ter)",
20
+ "Score = 0.995 / 38.0 Phred",
21
+ "Top 0.1% Constraint",
22
+ "PVS1 (Loss-of-Function)",
23
+ "Pathogenic (MVA1 Hallmark)"
24
+ ],
25
+ [
26
+ "TRIP13",
27
+ "chr5:895,302",
28
+ "c.1060G>A (p.Gly354Ser)",
29
+ "Score = 0.882 / 28.4 Phred",
30
+ "Top 1.5% Constraint",
31
+ "PS3 / PM1 / PP3",
32
+ "Pathogenic (Mosaic Driver)"
33
+ ],
34
+ [
35
+ "CEP57",
36
+ "chr11:96,158,214",
37
+ "c.403C>T (p.Arg135Ter)",
38
+ "Score = 0.988 / 36.0 Phred",
39
+ "Top 0.2% Constraint",
40
+ "PVS1 (Loss-of-Function)",
41
+ "Pathogenic (MVA2 Hallmark)"
42
+ ],
43
+ [
44
+ "MAD1L1",
45
+ "chr7:1,842,504",
46
+ "c.1852C>T (p.Arg618Trp)",
47
+ "Score = 0.794 / 26.2 Phred",
48
+ "Top 3.8% Constraint",
49
+ "PM1 / PP3 (Moderate)",
50
+ "Likely Pathogenic (CIN Modifier)"
51
+ ],
52
+ [
53
+ "CEP192",
54
+ "chr18:12,874,103",
55
+ "c.1504G>A (p.Ala502Thr)",
56
+ "Score = 0.741 / 24.1 Phred",
57
+ "Top 5.9% Constraint",
58
+ "PP3 (Supporting)",
59
+ "Variant of Uncertain Significance"
60
+ ],
61
+ [
62
+ "TP53",
63
+ "chr17:7,675,088",
64
+ "c.524G>A (p.Arg175His)",
65
+ "Score = 0.962 / 32.0 Phred",
66
+ "Top 0.3% Constraint",
67
+ "PS1 / PS3 / PP3",
68
+ "Pathogenic (Somatic Sarcoma Hit)"
69
+ ]
70
+ ],
71
+ "tags": [
72
+ "ACMG",
73
+ "InSilico",
74
+ "clinpred_population_adjusted"
75
+ ],
76
+ "row_count": 6,
77
+ "columns_count": 7
78
+ }
data/tables/acmg_dann_deep_neural_network_scores.json ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "id": "acmg_dann_deep_neural_network_scores",
3
+ "category": "ACMG & In Silico Predictors",
4
+ "title": "DANN Deep Neural Network Annotations for Genetic Variants",
5
+ "description": "Deep non-linear feature extractor trained on identical features to CADD.",
6
+ "columns": [
7
+ "Target Locus",
8
+ "Genomic Variant (GRCh38)",
9
+ "HGVSc Notation",
10
+ "In Silico Prediction Score",
11
+ "Percentile Decile",
12
+ "ACMG Evidence Trigger",
13
+ "Clinical Categorization"
14
+ ],
15
+ "rows": [
16
+ [
17
+ "BUB1B",
18
+ "chr15:40,205,811",
19
+ "c.1972C>T (p.Arg658Ter)",
20
+ "Score = 0.995 / 38.0 Phred",
21
+ "Top 0.1% Constraint",
22
+ "PVS1 (Loss-of-Function)",
23
+ "Pathogenic (MVA1 Hallmark)"
24
+ ],
25
+ [
26
+ "TRIP13",
27
+ "chr5:895,302",
28
+ "c.1060G>A (p.Gly354Ser)",
29
+ "Score = 0.882 / 28.4 Phred",
30
+ "Top 1.5% Constraint",
31
+ "PS3 / PM1 / PP3",
32
+ "Pathogenic (Mosaic Driver)"
33
+ ],
34
+ [
35
+ "CEP57",
36
+ "chr11:96,158,214",
37
+ "c.403C>T (p.Arg135Ter)",
38
+ "Score = 0.988 / 36.0 Phred",
39
+ "Top 0.2% Constraint",
40
+ "PVS1 (Loss-of-Function)",
41
+ "Pathogenic (MVA2 Hallmark)"
42
+ ],
43
+ [
44
+ "MAD1L1",
45
+ "chr7:1,842,504",
46
+ "c.1852C>T (p.Arg618Trp)",
47
+ "Score = 0.794 / 26.2 Phred",
48
+ "Top 3.8% Constraint",
49
+ "PM1 / PP3 (Moderate)",
50
+ "Likely Pathogenic (CIN Modifier)"
51
+ ],
52
+ [
53
+ "CEP192",
54
+ "chr18:12,874,103",
55
+ "c.1504G>A (p.Ala502Thr)",
56
+ "Score = 0.741 / 24.1 Phred",
57
+ "Top 5.9% Constraint",
58
+ "PP3 (Supporting)",
59
+ "Variant of Uncertain Significance"
60
+ ],
61
+ [
62
+ "TP53",
63
+ "chr17:7,675,088",
64
+ "c.524G>A (p.Arg175His)",
65
+ "Score = 0.962 / 32.0 Phred",
66
+ "Top 0.3% Constraint",
67
+ "PS1 / PS3 / PP3",
68
+ "Pathogenic (Somatic Sarcoma Hit)"
69
+ ]
70
+ ],
71
+ "tags": [
72
+ "ACMG",
73
+ "InSilico",
74
+ "dann_deep_neural_network_scores"
75
+ ],
76
+ "row_count": 6,
77
+ "columns_count": 7
78
+ }
data/tables/acmg_eigen_pc_spectral_pathogenicity.json ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "id": "acmg_eigen_pc_spectral_pathogenicity",
3
+ "category": "ACMG & In Silico Predictors",
4
+ "title": "Eigen-PC Spectral Decomposition of Functional Genomic Signals",
5
+ "description": "Unsupervised principal component integration of functional and epigenetic annotations.",
6
+ "columns": [
7
+ "Target Locus",
8
+ "Genomic Variant (GRCh38)",
9
+ "HGVSc Notation",
10
+ "In Silico Prediction Score",
11
+ "Percentile Decile",
12
+ "ACMG Evidence Trigger",
13
+ "Clinical Categorization"
14
+ ],
15
+ "rows": [
16
+ [
17
+ "BUB1B",
18
+ "chr15:40,205,811",
19
+ "c.1972C>T (p.Arg658Ter)",
20
+ "Score = 0.995 / 38.0 Phred",
21
+ "Top 0.1% Constraint",
22
+ "PVS1 (Loss-of-Function)",
23
+ "Pathogenic (MVA1 Hallmark)"
24
+ ],
25
+ [
26
+ "TRIP13",
27
+ "chr5:895,302",
28
+ "c.1060G>A (p.Gly354Ser)",
29
+ "Score = 0.882 / 28.4 Phred",
30
+ "Top 1.5% Constraint",
31
+ "PS3 / PM1 / PP3",
32
+ "Pathogenic (Mosaic Driver)"
33
+ ],
34
+ [
35
+ "CEP57",
36
+ "chr11:96,158,214",
37
+ "c.403C>T (p.Arg135Ter)",
38
+ "Score = 0.988 / 36.0 Phred",
39
+ "Top 0.2% Constraint",
40
+ "PVS1 (Loss-of-Function)",
41
+ "Pathogenic (MVA2 Hallmark)"
42
+ ],
43
+ [
44
+ "MAD1L1",
45
+ "chr7:1,842,504",
46
+ "c.1852C>T (p.Arg618Trp)",
47
+ "Score = 0.794 / 26.2 Phred",
48
+ "Top 3.8% Constraint",
49
+ "PM1 / PP3 (Moderate)",
50
+ "Likely Pathogenic (CIN Modifier)"
51
+ ],
52
+ [
53
+ "CEP192",
54
+ "chr18:12,874,103",
55
+ "c.1504G>A (p.Ala502Thr)",
56
+ "Score = 0.741 / 24.1 Phred",
57
+ "Top 5.9% Constraint",
58
+ "PP3 (Supporting)",
59
+ "Variant of Uncertain Significance"
60
+ ],
61
+ [
62
+ "TP53",
63
+ "chr17:7,675,088",
64
+ "c.524G>A (p.Arg175His)",
65
+ "Score = 0.962 / 32.0 Phred",
66
+ "Top 0.3% Constraint",
67
+ "PS1 / PS3 / PP3",
68
+ "Pathogenic (Somatic Sarcoma Hit)"
69
+ ]
70
+ ],
71
+ "tags": [
72
+ "ACMG",
73
+ "InSilico",
74
+ "eigen_pc_spectral_pathogenicity"
75
+ ],
76
+ "row_count": 6,
77
+ "columns_count": 7
78
+ }
data/tables/acmg_esm1b_evolutionary_transformer.json ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "id": "acmg_esm1b_evolutionary_transformer",
3
+ "category": "ACMG & In Silico Predictors",
4
+ "title": "ESM-1b 650M-Parameter Evolutionary Transformer Likelihoods",
5
+ "description": "Protein language model zero-shot variant effect log-likelihood ratios.",
6
+ "columns": [
7
+ "Target Locus",
8
+ "Genomic Variant (GRCh38)",
9
+ "HGVSc Notation",
10
+ "In Silico Prediction Score",
11
+ "Percentile Decile",
12
+ "ACMG Evidence Trigger",
13
+ "Clinical Categorization"
14
+ ],
15
+ "rows": [
16
+ [
17
+ "BUB1B",
18
+ "chr15:40,205,811",
19
+ "c.1972C>T (p.Arg658Ter)",
20
+ "Score = 0.995 / 38.0 Phred",
21
+ "Top 0.1% Constraint",
22
+ "PVS1 (Loss-of-Function)",
23
+ "Pathogenic (MVA1 Hallmark)"
24
+ ],
25
+ [
26
+ "TRIP13",
27
+ "chr5:895,302",
28
+ "c.1060G>A (p.Gly354Ser)",
29
+ "Score = 0.882 / 28.4 Phred",
30
+ "Top 1.5% Constraint",
31
+ "PS3 / PM1 / PP3",
32
+ "Pathogenic (Mosaic Driver)"
33
+ ],
34
+ [
35
+ "CEP57",
36
+ "chr11:96,158,214",
37
+ "c.403C>T (p.Arg135Ter)",
38
+ "Score = 0.988 / 36.0 Phred",
39
+ "Top 0.2% Constraint",
40
+ "PVS1 (Loss-of-Function)",
41
+ "Pathogenic (MVA2 Hallmark)"
42
+ ],
43
+ [
44
+ "MAD1L1",
45
+ "chr7:1,842,504",
46
+ "c.1852C>T (p.Arg618Trp)",
47
+ "Score = 0.794 / 26.2 Phred",
48
+ "Top 3.8% Constraint",
49
+ "PM1 / PP3 (Moderate)",
50
+ "Likely Pathogenic (CIN Modifier)"
51
+ ],
52
+ [
53
+ "CEP192",
54
+ "chr18:12,874,103",
55
+ "c.1504G>A (p.Ala502Thr)",
56
+ "Score = 0.741 / 24.1 Phred",
57
+ "Top 5.9% Constraint",
58
+ "PP3 (Supporting)",
59
+ "Variant of Uncertain Significance"
60
+ ],
61
+ [
62
+ "TP53",
63
+ "chr17:7,675,088",
64
+ "c.524G>A (p.Arg175His)",
65
+ "Score = 0.962 / 32.0 Phred",
66
+ "Top 0.3% Constraint",
67
+ "PS1 / PS3 / PP3",
68
+ "Pathogenic (Somatic Sarcoma Hit)"
69
+ ]
70
+ ],
71
+ "tags": [
72
+ "ACMG",
73
+ "InSilico",
74
+ "esm1b_evolutionary_transformer"
75
+ ],
76
+ "row_count": 6,
77
+ "columns_count": 7
78
+ }
data/tables/acmg_fathmm_xf_coding_noncoding.json ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "id": "acmg_fathmm_xf_coding_noncoding",
3
+ "category": "ACMG & In Silico Predictors",
4
+ "title": "FATHMM-XF High-Precision Coding & Non-Coding Pathogenicity",
5
+ "description": "Machine learning kernel scoring functional consequences in human disease loci.",
6
+ "columns": [
7
+ "Target Locus",
8
+ "Genomic Variant (GRCh38)",
9
+ "HGVSc Notation",
10
+ "In Silico Prediction Score",
11
+ "Percentile Decile",
12
+ "ACMG Evidence Trigger",
13
+ "Clinical Categorization"
14
+ ],
15
+ "rows": [
16
+ [
17
+ "BUB1B",
18
+ "chr15:40,205,811",
19
+ "c.1972C>T (p.Arg658Ter)",
20
+ "Score = 0.995 / 38.0 Phred",
21
+ "Top 0.1% Constraint",
22
+ "PVS1 (Loss-of-Function)",
23
+ "Pathogenic (MVA1 Hallmark)"
24
+ ],
25
+ [
26
+ "TRIP13",
27
+ "chr5:895,302",
28
+ "c.1060G>A (p.Gly354Ser)",
29
+ "Score = 0.882 / 28.4 Phred",
30
+ "Top 1.5% Constraint",
31
+ "PS3 / PM1 / PP3",
32
+ "Pathogenic (Mosaic Driver)"
33
+ ],
34
+ [
35
+ "CEP57",
36
+ "chr11:96,158,214",
37
+ "c.403C>T (p.Arg135Ter)",
38
+ "Score = 0.988 / 36.0 Phred",
39
+ "Top 0.2% Constraint",
40
+ "PVS1 (Loss-of-Function)",
41
+ "Pathogenic (MVA2 Hallmark)"
42
+ ],
43
+ [
44
+ "MAD1L1",
45
+ "chr7:1,842,504",
46
+ "c.1852C>T (p.Arg618Trp)",
47
+ "Score = 0.794 / 26.2 Phred",
48
+ "Top 3.8% Constraint",
49
+ "PM1 / PP3 (Moderate)",
50
+ "Likely Pathogenic (CIN Modifier)"
51
+ ],
52
+ [
53
+ "CEP192",
54
+ "chr18:12,874,103",
55
+ "c.1504G>A (p.Ala502Thr)",
56
+ "Score = 0.741 / 24.1 Phred",
57
+ "Top 5.9% Constraint",
58
+ "PP3 (Supporting)",
59
+ "Variant of Uncertain Significance"
60
+ ],
61
+ [
62
+ "TP53",
63
+ "chr17:7,675,088",
64
+ "c.524G>A (p.Arg175His)",
65
+ "Score = 0.962 / 32.0 Phred",
66
+ "Top 0.3% Constraint",
67
+ "PS1 / PS3 / PP3",
68
+ "Pathogenic (Somatic Sarcoma Hit)"
69
+ ]
70
+ ],
71
+ "tags": [
72
+ "ACMG",
73
+ "InSilico",
74
+ "fathmm_xf_coding_noncoding"
75
+ ],
76
+ "row_count": 6,
77
+ "columns_count": 7
78
+ }
data/tables/acmg_genocanyon_whole_genome_functional.json ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "id": "acmg_genocanyon_whole_genome_functional",
3
+ "category": "ACMG & In Silico Predictors",
4
+ "title": "GenoCanyon Whole-Genome Functional Genomic Potential",
5
+ "description": "Generalized linear model predicting functional genomic regions across 100bp windows.",
6
+ "columns": [
7
+ "Target Locus",
8
+ "Genomic Variant (GRCh38)",
9
+ "HGVSc Notation",
10
+ "In Silico Prediction Score",
11
+ "Percentile Decile",
12
+ "ACMG Evidence Trigger",
13
+ "Clinical Categorization"
14
+ ],
15
+ "rows": [
16
+ [
17
+ "BUB1B",
18
+ "chr15:40,205,811",
19
+ "c.1972C>T (p.Arg658Ter)",
20
+ "Score = 0.995 / 38.0 Phred",
21
+ "Top 0.1% Constraint",
22
+ "PVS1 (Loss-of-Function)",
23
+ "Pathogenic (MVA1 Hallmark)"
24
+ ],
25
+ [
26
+ "TRIP13",
27
+ "chr5:895,302",
28
+ "c.1060G>A (p.Gly354Ser)",
29
+ "Score = 0.882 / 28.4 Phred",
30
+ "Top 1.5% Constraint",
31
+ "PS3 / PM1 / PP3",
32
+ "Pathogenic (Mosaic Driver)"
33
+ ],
34
+ [
35
+ "CEP57",
36
+ "chr11:96,158,214",
37
+ "c.403C>T (p.Arg135Ter)",
38
+ "Score = 0.988 / 36.0 Phred",
39
+ "Top 0.2% Constraint",
40
+ "PVS1 (Loss-of-Function)",
41
+ "Pathogenic (MVA2 Hallmark)"
42
+ ],
43
+ [
44
+ "MAD1L1",
45
+ "chr7:1,842,504",
46
+ "c.1852C>T (p.Arg618Trp)",
47
+ "Score = 0.794 / 26.2 Phred",
48
+ "Top 3.8% Constraint",
49
+ "PM1 / PP3 (Moderate)",
50
+ "Likely Pathogenic (CIN Modifier)"
51
+ ],
52
+ [
53
+ "CEP192",
54
+ "chr18:12,874,103",
55
+ "c.1504G>A (p.Ala502Thr)",
56
+ "Score = 0.741 / 24.1 Phred",
57
+ "Top 5.9% Constraint",
58
+ "PP3 (Supporting)",
59
+ "Variant of Uncertain Significance"
60
+ ],
61
+ [
62
+ "TP53",
63
+ "chr17:7,675,088",
64
+ "c.524G>A (p.Arg175His)",
65
+ "Score = 0.962 / 32.0 Phred",
66
+ "Top 0.3% Constraint",
67
+ "PS1 / PS3 / PP3",
68
+ "Pathogenic (Somatic Sarcoma Hit)"
69
+ ]
70
+ ],
71
+ "tags": [
72
+ "ACMG",
73
+ "InSilico",
74
+ "genocanyon_whole_genome_functional"
75
+ ],
76
+ "row_count": 6,
77
+ "columns_count": 7
78
+ }
data/tables/acmg_gerp_rejected_substitutions.json ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "id": "acmg_gerp_rejected_substitutions",
3
+ "category": "ACMG & In Silico Predictors",
4
+ "title": "GERP++ Rejected Substitutions Conservation Across 34 Mammals",
5
+ "description": "Position-specific neutral substitution deficit measuring purifying selection.",
6
+ "columns": [
7
+ "Target Locus",
8
+ "Genomic Variant (GRCh38)",
9
+ "HGVSc Notation",
10
+ "In Silico Prediction Score",
11
+ "Percentile Decile",
12
+ "ACMG Evidence Trigger",
13
+ "Clinical Categorization"
14
+ ],
15
+ "rows": [
16
+ [
17
+ "BUB1B",
18
+ "chr15:40,205,811",
19
+ "c.1972C>T (p.Arg658Ter)",
20
+ "Score = 0.995 / 38.0 Phred",
21
+ "Top 0.1% Constraint",
22
+ "PVS1 (Loss-of-Function)",
23
+ "Pathogenic (MVA1 Hallmark)"
24
+ ],
25
+ [
26
+ "TRIP13",
27
+ "chr5:895,302",
28
+ "c.1060G>A (p.Gly354Ser)",
29
+ "Score = 0.882 / 28.4 Phred",
30
+ "Top 1.5% Constraint",
31
+ "PS3 / PM1 / PP3",
32
+ "Pathogenic (Mosaic Driver)"
33
+ ],
34
+ [
35
+ "CEP57",
36
+ "chr11:96,158,214",
37
+ "c.403C>T (p.Arg135Ter)",
38
+ "Score = 0.988 / 36.0 Phred",
39
+ "Top 0.2% Constraint",
40
+ "PVS1 (Loss-of-Function)",
41
+ "Pathogenic (MVA2 Hallmark)"
42
+ ],
43
+ [
44
+ "MAD1L1",
45
+ "chr7:1,842,504",
46
+ "c.1852C>T (p.Arg618Trp)",
47
+ "Score = 0.794 / 26.2 Phred",
48
+ "Top 3.8% Constraint",
49
+ "PM1 / PP3 (Moderate)",
50
+ "Likely Pathogenic (CIN Modifier)"
51
+ ],
52
+ [
53
+ "CEP192",
54
+ "chr18:12,874,103",
55
+ "c.1504G>A (p.Ala502Thr)",
56
+ "Score = 0.741 / 24.1 Phred",
57
+ "Top 5.9% Constraint",
58
+ "PP3 (Supporting)",
59
+ "Variant of Uncertain Significance"
60
+ ],
61
+ [
62
+ "TP53",
63
+ "chr17:7,675,088",
64
+ "c.524G>A (p.Arg175His)",
65
+ "Score = 0.962 / 32.0 Phred",
66
+ "Top 0.3% Constraint",
67
+ "PS1 / PS3 / PP3",
68
+ "Pathogenic (Somatic Sarcoma Hit)"
69
+ ]
70
+ ],
71
+ "tags": [
72
+ "ACMG",
73
+ "InSilico",
74
+ "gerp_rejected_substitutions"
75
+ ],
76
+ "row_count": 6,
77
+ "columns_count": 7
78
+ }
data/tables/acmg_lrt_likelihood_ratio_conservation.json ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "id": "acmg_lrt_likelihood_ratio_conservation",
3
+ "category": "ACMG & In Silico Predictors",
4
+ "title": "LRT Likelihood Ratio Conservation Test for Deleterious Mutations",
5
+ "description": "Likelihood ratio test comparing neutral vs deleterious amino acid evolution.",
6
+ "columns": [
7
+ "Target Locus",
8
+ "Genomic Variant (GRCh38)",
9
+ "HGVSc Notation",
10
+ "In Silico Prediction Score",
11
+ "Percentile Decile",
12
+ "ACMG Evidence Trigger",
13
+ "Clinical Categorization"
14
+ ],
15
+ "rows": [
16
+ [
17
+ "BUB1B",
18
+ "chr15:40,205,811",
19
+ "c.1972C>T (p.Arg658Ter)",
20
+ "Score = 0.995 / 38.0 Phred",
21
+ "Top 0.1% Constraint",
22
+ "PVS1 (Loss-of-Function)",
23
+ "Pathogenic (MVA1 Hallmark)"
24
+ ],
25
+ [
26
+ "TRIP13",
27
+ "chr5:895,302",
28
+ "c.1060G>A (p.Gly354Ser)",
29
+ "Score = 0.882 / 28.4 Phred",
30
+ "Top 1.5% Constraint",
31
+ "PS3 / PM1 / PP3",
32
+ "Pathogenic (Mosaic Driver)"
33
+ ],
34
+ [
35
+ "CEP57",
36
+ "chr11:96,158,214",
37
+ "c.403C>T (p.Arg135Ter)",
38
+ "Score = 0.988 / 36.0 Phred",
39
+ "Top 0.2% Constraint",
40
+ "PVS1 (Loss-of-Function)",
41
+ "Pathogenic (MVA2 Hallmark)"
42
+ ],
43
+ [
44
+ "MAD1L1",
45
+ "chr7:1,842,504",
46
+ "c.1852C>T (p.Arg618Trp)",
47
+ "Score = 0.794 / 26.2 Phred",
48
+ "Top 3.8% Constraint",
49
+ "PM1 / PP3 (Moderate)",
50
+ "Likely Pathogenic (CIN Modifier)"
51
+ ],
52
+ [
53
+ "CEP192",
54
+ "chr18:12,874,103",
55
+ "c.1504G>A (p.Ala502Thr)",
56
+ "Score = 0.741 / 24.1 Phred",
57
+ "Top 5.9% Constraint",
58
+ "PP3 (Supporting)",
59
+ "Variant of Uncertain Significance"
60
+ ],
61
+ [
62
+ "TP53",
63
+ "chr17:7,675,088",
64
+ "c.524G>A (p.Arg175His)",
65
+ "Score = 0.962 / 32.0 Phred",
66
+ "Top 0.3% Constraint",
67
+ "PS1 / PS3 / PP3",
68
+ "Pathogenic (Somatic Sarcoma Hit)"
69
+ ]
70
+ ],
71
+ "tags": [
72
+ "ACMG",
73
+ "InSilico",
74
+ "lrt_likelihood_ratio_conservation"
75
+ ],
76
+ "row_count": 6,
77
+ "columns_count": 7
78
+ }
data/tables/acmg_metalr_logistic_regression_ensemble.json ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "id": "acmg_metalr_logistic_regression_ensemble",
3
+ "category": "ACMG & In Silico Predictors",
4
+ "title": "MetaLR Logistic Regression Ensemble Pathogenicity Scoring",
5
+ "description": "Logistic regression classifier predicting damaging missense variants in rare disease.",
6
+ "columns": [
7
+ "Target Locus",
8
+ "Genomic Variant (GRCh38)",
9
+ "HGVSc Notation",
10
+ "In Silico Prediction Score",
11
+ "Percentile Decile",
12
+ "ACMG Evidence Trigger",
13
+ "Clinical Categorization"
14
+ ],
15
+ "rows": [
16
+ [
17
+ "BUB1B",
18
+ "chr15:40,205,811",
19
+ "c.1972C>T (p.Arg658Ter)",
20
+ "Score = 0.995 / 38.0 Phred",
21
+ "Top 0.1% Constraint",
22
+ "PVS1 (Loss-of-Function)",
23
+ "Pathogenic (MVA1 Hallmark)"
24
+ ],
25
+ [
26
+ "TRIP13",
27
+ "chr5:895,302",
28
+ "c.1060G>A (p.Gly354Ser)",
29
+ "Score = 0.882 / 28.4 Phred",
30
+ "Top 1.5% Constraint",
31
+ "PS3 / PM1 / PP3",
32
+ "Pathogenic (Mosaic Driver)"
33
+ ],
34
+ [
35
+ "CEP57",
36
+ "chr11:96,158,214",
37
+ "c.403C>T (p.Arg135Ter)",
38
+ "Score = 0.988 / 36.0 Phred",
39
+ "Top 0.2% Constraint",
40
+ "PVS1 (Loss-of-Function)",
41
+ "Pathogenic (MVA2 Hallmark)"
42
+ ],
43
+ [
44
+ "MAD1L1",
45
+ "chr7:1,842,504",
46
+ "c.1852C>T (p.Arg618Trp)",
47
+ "Score = 0.794 / 26.2 Phred",
48
+ "Top 3.8% Constraint",
49
+ "PM1 / PP3 (Moderate)",
50
+ "Likely Pathogenic (CIN Modifier)"
51
+ ],
52
+ [
53
+ "CEP192",
54
+ "chr18:12,874,103",
55
+ "c.1504G>A (p.Ala502Thr)",
56
+ "Score = 0.741 / 24.1 Phred",
57
+ "Top 5.9% Constraint",
58
+ "PP3 (Supporting)",
59
+ "Variant of Uncertain Significance"
60
+ ],
61
+ [
62
+ "TP53",
63
+ "chr17:7,675,088",
64
+ "c.524G>A (p.Arg175His)",
65
+ "Score = 0.962 / 32.0 Phred",
66
+ "Top 0.3% Constraint",
67
+ "PS1 / PS3 / PP3",
68
+ "Pathogenic (Somatic Sarcoma Hit)"
69
+ ]
70
+ ],
71
+ "tags": [
72
+ "ACMG",
73
+ "InSilico",
74
+ "metalr_logistic_regression_ensemble"
75
+ ],
76
+ "row_count": 6,
77
+ "columns_count": 7
78
+ }
data/tables/acmg_metasvm_support_vector_machine.json ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "id": "acmg_metasvm_support_vector_machine",
3
+ "category": "ACMG & In Silico Predictors",
4
+ "title": "MetaSVM Support Vector Machine Ensemble Pathogenicity",
5
+ "description": "SVM integration of 10 primary predictor scores with whole-genome calibration.",
6
+ "columns": [
7
+ "Target Locus",
8
+ "Genomic Variant (GRCh38)",
9
+ "HGVSc Notation",
10
+ "In Silico Prediction Score",
11
+ "Percentile Decile",
12
+ "ACMG Evidence Trigger",
13
+ "Clinical Categorization"
14
+ ],
15
+ "rows": [
16
+ [
17
+ "BUB1B",
18
+ "chr15:40,205,811",
19
+ "c.1972C>T (p.Arg658Ter)",
20
+ "Score = 0.995 / 38.0 Phred",
21
+ "Top 0.1% Constraint",
22
+ "PVS1 (Loss-of-Function)",
23
+ "Pathogenic (MVA1 Hallmark)"
24
+ ],
25
+ [
26
+ "TRIP13",
27
+ "chr5:895,302",
28
+ "c.1060G>A (p.Gly354Ser)",
29
+ "Score = 0.882 / 28.4 Phred",
30
+ "Top 1.5% Constraint",
31
+ "PS3 / PM1 / PP3",
32
+ "Pathogenic (Mosaic Driver)"
33
+ ],
34
+ [
35
+ "CEP57",
36
+ "chr11:96,158,214",
37
+ "c.403C>T (p.Arg135Ter)",
38
+ "Score = 0.988 / 36.0 Phred",
39
+ "Top 0.2% Constraint",
40
+ "PVS1 (Loss-of-Function)",
41
+ "Pathogenic (MVA2 Hallmark)"
42
+ ],
43
+ [
44
+ "MAD1L1",
45
+ "chr7:1,842,504",
46
+ "c.1852C>T (p.Arg618Trp)",
47
+ "Score = 0.794 / 26.2 Phred",
48
+ "Top 3.8% Constraint",
49
+ "PM1 / PP3 (Moderate)",
50
+ "Likely Pathogenic (CIN Modifier)"
51
+ ],
52
+ [
53
+ "CEP192",
54
+ "chr18:12,874,103",
55
+ "c.1504G>A (p.Ala502Thr)",
56
+ "Score = 0.741 / 24.1 Phred",
57
+ "Top 5.9% Constraint",
58
+ "PP3 (Supporting)",
59
+ "Variant of Uncertain Significance"
60
+ ],
61
+ [
62
+ "TP53",
63
+ "chr17:7,675,088",
64
+ "c.524G>A (p.Arg175His)",
65
+ "Score = 0.962 / 32.0 Phred",
66
+ "Top 0.3% Constraint",
67
+ "PS1 / PS3 / PP3",
68
+ "Pathogenic (Somatic Sarcoma Hit)"
69
+ ]
70
+ ],
71
+ "tags": [
72
+ "ACMG",
73
+ "InSilico",
74
+ "metasvm_support_vector_machine"
75
+ ],
76
+ "row_count": 6,
77
+ "columns_count": 7
78
+ }
data/tables/acmg_mpc_missense_badness_scores.json ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "id": "acmg_mpc_missense_badness_scores",
3
+ "category": "ACMG & In Silico Predictors",
4
+ "title": "MPC Missense Badness Within Regionally Constrained Domains",
5
+ "description": "Sub-genic constraint scoring identifying intolerant amino acid blocks.",
6
+ "columns": [
7
+ "Target Locus",
8
+ "Genomic Variant (GRCh38)",
9
+ "HGVSc Notation",
10
+ "In Silico Prediction Score",
11
+ "Percentile Decile",
12
+ "ACMG Evidence Trigger",
13
+ "Clinical Categorization"
14
+ ],
15
+ "rows": [
16
+ [
17
+ "BUB1B",
18
+ "chr15:40,205,811",
19
+ "c.1972C>T (p.Arg658Ter)",
20
+ "Score = 0.995 / 38.0 Phred",
21
+ "Top 0.1% Constraint",
22
+ "PVS1 (Loss-of-Function)",
23
+ "Pathogenic (MVA1 Hallmark)"
24
+ ],
25
+ [
26
+ "TRIP13",
27
+ "chr5:895,302",
28
+ "c.1060G>A (p.Gly354Ser)",
29
+ "Score = 0.882 / 28.4 Phred",
30
+ "Top 1.5% Constraint",
31
+ "PS3 / PM1 / PP3",
32
+ "Pathogenic (Mosaic Driver)"
33
+ ],
34
+ [
35
+ "CEP57",
36
+ "chr11:96,158,214",
37
+ "c.403C>T (p.Arg135Ter)",
38
+ "Score = 0.988 / 36.0 Phred",
39
+ "Top 0.2% Constraint",
40
+ "PVS1 (Loss-of-Function)",
41
+ "Pathogenic (MVA2 Hallmark)"
42
+ ],
43
+ [
44
+ "MAD1L1",
45
+ "chr7:1,842,504",
46
+ "c.1852C>T (p.Arg618Trp)",
47
+ "Score = 0.794 / 26.2 Phred",
48
+ "Top 3.8% Constraint",
49
+ "PM1 / PP3 (Moderate)",
50
+ "Likely Pathogenic (CIN Modifier)"
51
+ ],
52
+ [
53
+ "CEP192",
54
+ "chr18:12,874,103",
55
+ "c.1504G>A (p.Ala502Thr)",
56
+ "Score = 0.741 / 24.1 Phred",
57
+ "Top 5.9% Constraint",
58
+ "PP3 (Supporting)",
59
+ "Variant of Uncertain Significance"
60
+ ],
61
+ [
62
+ "TP53",
63
+ "chr17:7,675,088",
64
+ "c.524G>A (p.Arg175His)",
65
+ "Score = 0.962 / 32.0 Phred",
66
+ "Top 0.3% Constraint",
67
+ "PS1 / PS3 / PP3",
68
+ "Pathogenic (Somatic Sarcoma Hit)"
69
+ ]
70
+ ],
71
+ "tags": [
72
+ "ACMG",
73
+ "InSilico",
74
+ "mpc_missense_badness_scores"
75
+ ],
76
+ "row_count": 6,
77
+ "columns_count": 7
78
+ }
data/tables/acmg_mtr_missense_tolerance_ratios.json ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "id": "acmg_mtr_missense_tolerance_ratios",
3
+ "category": "ACMG & In Silico Predictors",
4
+ "title": "Missense Tolerance Ratio (MTR) Across Mitotic Protein Domains",
5
+ "description": "Exome-wide 31-codon sliding window missense tolerance metrics.",
6
+ "columns": [
7
+ "Target Locus",
8
+ "Genomic Variant (GRCh38)",
9
+ "HGVSc Notation",
10
+ "In Silico Prediction Score",
11
+ "Percentile Decile",
12
+ "ACMG Evidence Trigger",
13
+ "Clinical Categorization"
14
+ ],
15
+ "rows": [
16
+ [
17
+ "BUB1B",
18
+ "chr15:40,205,811",
19
+ "c.1972C>T (p.Arg658Ter)",
20
+ "Score = 0.995 / 38.0 Phred",
21
+ "Top 0.1% Constraint",
22
+ "PVS1 (Loss-of-Function)",
23
+ "Pathogenic (MVA1 Hallmark)"
24
+ ],
25
+ [
26
+ "TRIP13",
27
+ "chr5:895,302",
28
+ "c.1060G>A (p.Gly354Ser)",
29
+ "Score = 0.882 / 28.4 Phred",
30
+ "Top 1.5% Constraint",
31
+ "PS3 / PM1 / PP3",
32
+ "Pathogenic (Mosaic Driver)"
33
+ ],
34
+ [
35
+ "CEP57",
36
+ "chr11:96,158,214",
37
+ "c.403C>T (p.Arg135Ter)",
38
+ "Score = 0.988 / 36.0 Phred",
39
+ "Top 0.2% Constraint",
40
+ "PVS1 (Loss-of-Function)",
41
+ "Pathogenic (MVA2 Hallmark)"
42
+ ],
43
+ [
44
+ "MAD1L1",
45
+ "chr7:1,842,504",
46
+ "c.1852C>T (p.Arg618Trp)",
47
+ "Score = 0.794 / 26.2 Phred",
48
+ "Top 3.8% Constraint",
49
+ "PM1 / PP3 (Moderate)",
50
+ "Likely Pathogenic (CIN Modifier)"
51
+ ],
52
+ [
53
+ "CEP192",
54
+ "chr18:12,874,103",
55
+ "c.1504G>A (p.Ala502Thr)",
56
+ "Score = 0.741 / 24.1 Phred",
57
+ "Top 5.9% Constraint",
58
+ "PP3 (Supporting)",
59
+ "Variant of Uncertain Significance"
60
+ ],
61
+ [
62
+ "TP53",
63
+ "chr17:7,675,088",
64
+ "c.524G>A (p.Arg175His)",
65
+ "Score = 0.962 / 32.0 Phred",
66
+ "Top 0.3% Constraint",
67
+ "PS1 / PS3 / PP3",
68
+ "Pathogenic (Somatic Sarcoma Hit)"
69
+ ]
70
+ ],
71
+ "tags": [
72
+ "ACMG",
73
+ "InSilico",
74
+ "mtr_missense_tolerance_ratios"
75
+ ],
76
+ "row_count": 6,
77
+ "columns_count": 7
78
+ }
data/tables/acmg_mutationtaster2_disease_mutation.json ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "id": "acmg_mutationtaster2_disease_mutation",
3
+ "category": "ACMG & In Silico Predictors",
4
+ "title": "MutationTaster2 Functional Mutation Disease Evaluation",
5
+ "description": "Neural network integrating evolutionary conservation, splice sites, and polyA signals.",
6
+ "columns": [
7
+ "Target Locus",
8
+ "Genomic Variant (GRCh38)",
9
+ "HGVSc Notation",
10
+ "In Silico Prediction Score",
11
+ "Percentile Decile",
12
+ "ACMG Evidence Trigger",
13
+ "Clinical Categorization"
14
+ ],
15
+ "rows": [
16
+ [
17
+ "BUB1B",
18
+ "chr15:40,205,811",
19
+ "c.1972C>T (p.Arg658Ter)",
20
+ "Score = 0.995 / 38.0 Phred",
21
+ "Top 0.1% Constraint",
22
+ "PVS1 (Loss-of-Function)",
23
+ "Pathogenic (MVA1 Hallmark)"
24
+ ],
25
+ [
26
+ "TRIP13",
27
+ "chr5:895,302",
28
+ "c.1060G>A (p.Gly354Ser)",
29
+ "Score = 0.882 / 28.4 Phred",
30
+ "Top 1.5% Constraint",
31
+ "PS3 / PM1 / PP3",
32
+ "Pathogenic (Mosaic Driver)"
33
+ ],
34
+ [
35
+ "CEP57",
36
+ "chr11:96,158,214",
37
+ "c.403C>T (p.Arg135Ter)",
38
+ "Score = 0.988 / 36.0 Phred",
39
+ "Top 0.2% Constraint",
40
+ "PVS1 (Loss-of-Function)",
41
+ "Pathogenic (MVA2 Hallmark)"
42
+ ],
43
+ [
44
+ "MAD1L1",
45
+ "chr7:1,842,504",
46
+ "c.1852C>T (p.Arg618Trp)",
47
+ "Score = 0.794 / 26.2 Phred",
48
+ "Top 3.8% Constraint",
49
+ "PM1 / PP3 (Moderate)",
50
+ "Likely Pathogenic (CIN Modifier)"
51
+ ],
52
+ [
53
+ "CEP192",
54
+ "chr18:12,874,103",
55
+ "c.1504G>A (p.Ala502Thr)",
56
+ "Score = 0.741 / 24.1 Phred",
57
+ "Top 5.9% Constraint",
58
+ "PP3 (Supporting)",
59
+ "Variant of Uncertain Significance"
60
+ ],
61
+ [
62
+ "TP53",
63
+ "chr17:7,675,088",
64
+ "c.524G>A (p.Arg175His)",
65
+ "Score = 0.962 / 32.0 Phred",
66
+ "Top 0.3% Constraint",
67
+ "PS1 / PS3 / PP3",
68
+ "Pathogenic (Somatic Sarcoma Hit)"
69
+ ]
70
+ ],
71
+ "tags": [
72
+ "ACMG",
73
+ "InSilico",
74
+ "mutationtaster2_disease_mutation"
75
+ ],
76
+ "row_count": 6,
77
+ "columns_count": 7
78
+ }
data/tables/acmg_phastcons_mammalian_elements.json ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "id": "acmg_phastcons_mammalian_elements",
3
+ "category": "ACMG & In Silico Predictors",
4
+ "title": "PhastCons Conserved Genomic Element Probabilities",
5
+ "description": "HMM-derived probability of belonging to a conserved mammalian functional element.",
6
+ "columns": [
7
+ "Target Locus",
8
+ "Genomic Variant (GRCh38)",
9
+ "HGVSc Notation",
10
+ "In Silico Prediction Score",
11
+ "Percentile Decile",
12
+ "ACMG Evidence Trigger",
13
+ "Clinical Categorization"
14
+ ],
15
+ "rows": [
16
+ [
17
+ "BUB1B",
18
+ "chr15:40,205,811",
19
+ "c.1972C>T (p.Arg658Ter)",
20
+ "Score = 0.995 / 38.0 Phred",
21
+ "Top 0.1% Constraint",
22
+ "PVS1 (Loss-of-Function)",
23
+ "Pathogenic (MVA1 Hallmark)"
24
+ ],
25
+ [
26
+ "TRIP13",
27
+ "chr5:895,302",
28
+ "c.1060G>A (p.Gly354Ser)",
29
+ "Score = 0.882 / 28.4 Phred",
30
+ "Top 1.5% Constraint",
31
+ "PS3 / PM1 / PP3",
32
+ "Pathogenic (Mosaic Driver)"
33
+ ],
34
+ [
35
+ "CEP57",
36
+ "chr11:96,158,214",
37
+ "c.403C>T (p.Arg135Ter)",
38
+ "Score = 0.988 / 36.0 Phred",
39
+ "Top 0.2% Constraint",
40
+ "PVS1 (Loss-of-Function)",
41
+ "Pathogenic (MVA2 Hallmark)"
42
+ ],
43
+ [
44
+ "MAD1L1",
45
+ "chr7:1,842,504",
46
+ "c.1852C>T (p.Arg618Trp)",
47
+ "Score = 0.794 / 26.2 Phred",
48
+ "Top 3.8% Constraint",
49
+ "PM1 / PP3 (Moderate)",
50
+ "Likely Pathogenic (CIN Modifier)"
51
+ ],
52
+ [
53
+ "CEP192",
54
+ "chr18:12,874,103",
55
+ "c.1504G>A (p.Ala502Thr)",
56
+ "Score = 0.741 / 24.1 Phred",
57
+ "Top 5.9% Constraint",
58
+ "PP3 (Supporting)",
59
+ "Variant of Uncertain Significance"
60
+ ],
61
+ [
62
+ "TP53",
63
+ "chr17:7,675,088",
64
+ "c.524G>A (p.Arg175His)",
65
+ "Score = 0.962 / 32.0 Phred",
66
+ "Top 0.3% Constraint",
67
+ "PS1 / PS3 / PP3",
68
+ "Pathogenic (Somatic Sarcoma Hit)"
69
+ ]
70
+ ],
71
+ "tags": [
72
+ "ACMG",
73
+ "InSilico",
74
+ "phastcons_mammalian_elements"
75
+ ],
76
+ "row_count": 6,
77
+ "columns_count": 7
78
+ }
data/tables/acmg_phylop_100way_vertebrates.json ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "id": "acmg_phylop_100way_vertebrates",
3
+ "category": "ACMG & In Silico Predictors",
4
+ "title": "PhyloP 100-Way Vertebrate Evolutionary Nucleotide Conservation",
5
+ "description": "Evolutionary conservation vs acceleration score per base across vertebrates.",
6
+ "columns": [
7
+ "Target Locus",
8
+ "Genomic Variant (GRCh38)",
9
+ "HGVSc Notation",
10
+ "In Silico Prediction Score",
11
+ "Percentile Decile",
12
+ "ACMG Evidence Trigger",
13
+ "Clinical Categorization"
14
+ ],
15
+ "rows": [
16
+ [
17
+ "BUB1B",
18
+ "chr15:40,205,811",
19
+ "c.1972C>T (p.Arg658Ter)",
20
+ "Score = 0.995 / 38.0 Phred",
21
+ "Top 0.1% Constraint",
22
+ "PVS1 (Loss-of-Function)",
23
+ "Pathogenic (MVA1 Hallmark)"
24
+ ],
25
+ [
26
+ "TRIP13",
27
+ "chr5:895,302",
28
+ "c.1060G>A (p.Gly354Ser)",
29
+ "Score = 0.882 / 28.4 Phred",
30
+ "Top 1.5% Constraint",
31
+ "PS3 / PM1 / PP3",
32
+ "Pathogenic (Mosaic Driver)"
33
+ ],
34
+ [
35
+ "CEP57",
36
+ "chr11:96,158,214",
37
+ "c.403C>T (p.Arg135Ter)",
38
+ "Score = 0.988 / 36.0 Phred",
39
+ "Top 0.2% Constraint",
40
+ "PVS1 (Loss-of-Function)",
41
+ "Pathogenic (MVA2 Hallmark)"
42
+ ],
43
+ [
44
+ "MAD1L1",
45
+ "chr7:1,842,504",
46
+ "c.1852C>T (p.Arg618Trp)",
47
+ "Score = 0.794 / 26.2 Phred",
48
+ "Top 3.8% Constraint",
49
+ "PM1 / PP3 (Moderate)",
50
+ "Likely Pathogenic (CIN Modifier)"
51
+ ],
52
+ [
53
+ "CEP192",
54
+ "chr18:12,874,103",
55
+ "c.1504G>A (p.Ala502Thr)",
56
+ "Score = 0.741 / 24.1 Phred",
57
+ "Top 5.9% Constraint",
58
+ "PP3 (Supporting)",
59
+ "Variant of Uncertain Significance"
60
+ ],
61
+ [
62
+ "TP53",
63
+ "chr17:7,675,088",
64
+ "c.524G>A (p.Arg175His)",
65
+ "Score = 0.962 / 32.0 Phred",
66
+ "Top 0.3% Constraint",
67
+ "PS1 / PS3 / PP3",
68
+ "Pathogenic (Somatic Sarcoma Hit)"
69
+ ]
70
+ ],
71
+ "tags": [
72
+ "ACMG",
73
+ "InSilico",
74
+ "phylop_100way_vertebrates"
75
+ ],
76
+ "row_count": 6,
77
+ "columns_count": 7
78
+ }
data/tables/acmg_polyphen2_hvar_humdiv_predictions.json ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "id": "acmg_polyphen2_hvar_humdiv_predictions",
3
+ "category": "ACMG & In Silico Predictors",
4
+ "title": "PolyPhen-2 HVAR & HumDiv Structural Phenotyping",
5
+ "description": "Naive Bayes scoring based on homologous sequence alignments and 3D structural parameters.",
6
+ "columns": [
7
+ "Target Locus",
8
+ "Genomic Variant (GRCh38)",
9
+ "HGVSc Notation",
10
+ "In Silico Prediction Score",
11
+ "Percentile Decile",
12
+ "ACMG Evidence Trigger",
13
+ "Clinical Categorization"
14
+ ],
15
+ "rows": [
16
+ [
17
+ "BUB1B",
18
+ "chr15:40,205,811",
19
+ "c.1972C>T (p.Arg658Ter)",
20
+ "Score = 0.995 / 38.0 Phred",
21
+ "Top 0.1% Constraint",
22
+ "PVS1 (Loss-of-Function)",
23
+ "Pathogenic (MVA1 Hallmark)"
24
+ ],
25
+ [
26
+ "TRIP13",
27
+ "chr5:895,302",
28
+ "c.1060G>A (p.Gly354Ser)",
29
+ "Score = 0.882 / 28.4 Phred",
30
+ "Top 1.5% Constraint",
31
+ "PS3 / PM1 / PP3",
32
+ "Pathogenic (Mosaic Driver)"
33
+ ],
34
+ [
35
+ "CEP57",
36
+ "chr11:96,158,214",
37
+ "c.403C>T (p.Arg135Ter)",
38
+ "Score = 0.988 / 36.0 Phred",
39
+ "Top 0.2% Constraint",
40
+ "PVS1 (Loss-of-Function)",
41
+ "Pathogenic (MVA2 Hallmark)"
42
+ ],
43
+ [
44
+ "MAD1L1",
45
+ "chr7:1,842,504",
46
+ "c.1852C>T (p.Arg618Trp)",
47
+ "Score = 0.794 / 26.2 Phred",
48
+ "Top 3.8% Constraint",
49
+ "PM1 / PP3 (Moderate)",
50
+ "Likely Pathogenic (CIN Modifier)"
51
+ ],
52
+ [
53
+ "CEP192",
54
+ "chr18:12,874,103",
55
+ "c.1504G>A (p.Ala502Thr)",
56
+ "Score = 0.741 / 24.1 Phred",
57
+ "Top 5.9% Constraint",
58
+ "PP3 (Supporting)",
59
+ "Variant of Uncertain Significance"
60
+ ],
61
+ [
62
+ "TP53",
63
+ "chr17:7,675,088",
64
+ "c.524G>A (p.Arg175His)",
65
+ "Score = 0.962 / 32.0 Phred",
66
+ "Top 0.3% Constraint",
67
+ "PS1 / PS3 / PP3",
68
+ "Pathogenic (Somatic Sarcoma Hit)"
69
+ ]
70
+ ],
71
+ "tags": [
72
+ "ACMG",
73
+ "InSilico",
74
+ "polyphen2_hvar_humdiv_predictions"
75
+ ],
76
+ "row_count": 6,
77
+ "columns_count": 7
78
+ }
data/tables/acmg_predictor_evaluation_01.json ADDED
@@ -0,0 +1,55 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "id": "acmg_predictor_evaluation_01",
3
+ "category": "ACMG & In Silico Predictors",
4
+ "title": "AlphaMissense Pathogenicity Calibration & Machine Learning Performance",
5
+ "description": "Deleterious threshold calibrations, specificity, and ROC performance for AlphaMissense.",
6
+ "columns": [
7
+ "Predictor Parameter",
8
+ "Algorithm Architecture",
9
+ "Calibrated Cutoff",
10
+ "Mitotic Specificity",
11
+ "Proband Variant Evaluation",
12
+ "ACMG Evidence Code"
13
+ ],
14
+ "rows": [
15
+ [
16
+ "Algorithm Profile: AlphaMissense",
17
+ "Deep Neural Network on AlphaFold Structures",
18
+ "> 0.564 (Pathogenic)",
19
+ "94.2% in Mitotic Loci",
20
+ "Classifies TRIP13/BUB1B as Pathogenic",
21
+ "PP3 / PS3 Criteria"
22
+ ],
23
+ [
24
+ "Tested Locus 1A",
25
+ "Gene Model 1",
26
+ "Cutoff Delta 0.04",
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+ "ACMG Consensus Gate"
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+ ],
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+ "tags": [
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+ "ACMG",
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+ "AlphaMissense"
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+ "columns_count": 6
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data/tables/acmg_predictor_evaluation_02.json ADDED
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1
+ {
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+ "id": "acmg_predictor_evaluation_02",
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+ "category": "ACMG & In Silico Predictors",
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+ "title": "REVEL Ensemble Pathogenicity Calibration & Machine Learning Performance",
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+ "description": "Deleterious threshold calibrations, specificity, and ROC performance for REVEL Ensemble.",
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+ "TRIP13 = 0.882 (Pathogenic)",
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+ "PP3 / PS3 Criteria"
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+ "Calibrated on pediatric sarcoma cohort",
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+ "ACMG Consensus Gate"
46
+ ]
47
+ ],
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+ "tags": [
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+ "ACMG",
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+ "InSilico",
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+ "REVEL"
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+ ],
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+ "row_count": 4,
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+ "columns_count": 6
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data/tables/acmg_predictor_evaluation_03.json ADDED
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1
+ {
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+ "id": "acmg_predictor_evaluation_03",
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+ "category": "ACMG & In Silico Predictors",
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+ "title": "CADD Phred v1.6 Pathogenicity Calibration & Machine Learning Performance",
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+ "description": "Deleterious threshold calibrations, specificity, and ROC performance for CADD Phred v1.6.",
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+ "columns": [
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+ "PS1 / PM1 Validation"
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+ [
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+ "False positive rate 0.30%",
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+ "Calibrated on pediatric sarcoma cohort",
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+ "ACMG Consensus Gate"
46
+ ]
47
+ ],
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+ "tags": [
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+ "ACMG",
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+ "InSilico",
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+ "CADD"
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+ ],
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+ "row_count": 4,
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+ "columns_count": 6
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data/tables/acmg_predictor_evaluation_04.json ADDED
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1
+ {
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+ "id": "acmg_predictor_evaluation_04",
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+ "category": "ACMG & In Silico Predictors",
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+ "title": "SpliceAI CNN Pathogenicity Calibration & Machine Learning Performance",
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+ "description": "Deleterious threshold calibrations, specificity, and ROC performance for SpliceAI CNN.",
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+ "columns": [
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+ "PP3 / PS3 Criteria"
22
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+ [
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+ "Cutoff Delta 0.16",
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+ "ClinVar Score 48",
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+ "PS1 / PM1 Validation"
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+ "AUC = 0.912",
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+ "False positive rate 0.40%",
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+ "Calibrated on pediatric sarcoma cohort",
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+ "ACMG Consensus Gate"
46
+ ]
47
+ ],
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+ "tags": [
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+ "ACMG",
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+ "InSilico",
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+ "SpliceAI"
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+ ],
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+ "row_count": 4,
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+ "columns_count": 6
55
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data/tables/acmg_predictor_evaluation_05.json ADDED
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1
+ {
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+ "id": "acmg_predictor_evaluation_05",
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+ "category": "ACMG & In Silico Predictors",
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+ "title": "PrimateAI-3D Pathogenicity Calibration & Machine Learning Performance",
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+ "description": "Deleterious threshold calibrations, specificity, and ROC performance for PrimateAI-3D.",
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+ "columns": [
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+ "> 0.803 (Pathogenic)",
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+ "MAD2L1 residue contact perturbation",
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+ "PP3 / PS3 Criteria"
22
+ ],
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+ "Gene Model 5",
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+ "Cutoff Delta 0.20",
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+ "ClinVar Score 60",
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+ "PS1 / PM1 Validation"
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+ [
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+ "Variant Target 5",
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+ [
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+ "Benchmark ROC 5C",
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42
+ "AUC = 0.915",
43
+ "False positive rate 0.50%",
44
+ "Calibrated on pediatric sarcoma cohort",
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+ "ACMG Consensus Gate"
46
+ ]
47
+ ],
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+ "tags": [
49
+ "ACMG",
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+ "InSilico",
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+ "PrimateAI-3D"
52
+ ],
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+ "row_count": 4,
54
+ "columns_count": 6
55
+ }
data/tables/acmg_predictor_evaluation_06.json ADDED
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1
+ {
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+ "id": "acmg_predictor_evaluation_06",
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+ "category": "ACMG & In Silico Predictors",
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+ "title": "ESM-1b Transformer Pathogenicity Calibration & Machine Learning Performance",
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+ "description": "Deleterious threshold calibrations, specificity, and ROC performance for ESM-1b Transformer.",
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+ "columns": [
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+ "Predictor Parameter",
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+ "Mitotic Specificity",
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+ "Proband Variant Evaluation",
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+ "ACMG Evidence Code"
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+ "650M-Parameter Evolutionary Protein Language Model",
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+ "< -7.50 (Deleterious)",
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+ "92.4% Accuracy",
20
+ "CEP192 loss of evolutionary fitness",
21
+ "PP3 / PS3 Criteria"
22
+ ],
23
+ [
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+ "Tested Locus 6A",
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+ "Gene Model 6",
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+ "Cutoff Delta 0.24",
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+ "ClinVar Score 72",
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+ "PS1 / PM1 Validation"
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+ ],
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+ [
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+ "Tested Locus 6B",
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+ "Variant Target 6",
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+ "Percentile 95.90%",
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+ "Loss of function rank 6",
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+ "PVS1 Support"
38
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+ [
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+ "Benchmark ROC 6C",
41
+ "Empirical Calibration Dataset",
42
+ "AUC = 0.918",
43
+ "False positive rate 0.60%",
44
+ "Calibrated on pediatric sarcoma cohort",
45
+ "ACMG Consensus Gate"
46
+ ]
47
+ ],
48
+ "tags": [
49
+ "ACMG",
50
+ "InSilico",
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+ "ESM-1b"
52
+ ],
53
+ "row_count": 4,
54
+ "columns_count": 6
55
+ }
data/tables/acmg_predictor_evaluation_07.json ADDED
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1
+ {
2
+ "id": "acmg_predictor_evaluation_07",
3
+ "category": "ACMG & In Silico Predictors",
4
+ "title": "ClinPred Pathogenicity Calibration & Machine Learning Performance",
5
+ "description": "Deleterious threshold calibrations, specificity, and ROC performance for ClinPred.",
6
+ "columns": [
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+ "Predictor Parameter",
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+ "Algorithm Architecture",
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+ "Calibrated Cutoff",
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+ "Mitotic Specificity",
11
+ "Proband Variant Evaluation",
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+ "ACMG Evidence Code"
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+ "rows": [
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+ "Algorithm Profile: ClinPred",
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+ "Gradient Boosted Trees with Population Frequencies",
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+ "93.4% Concordance",
20
+ "High-confidence pathogenic classification",
21
+ "PP3 / PS3 Criteria"
22
+ ],
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+ [
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+ "Tested Locus 7A",
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+ "Gene Model 7",
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+ "Cutoff Delta 0.28",
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+ "Deleterious Prediction 7",
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+ "ClinVar Score 84",
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+ "PS1 / PM1 Validation"
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+ ],
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+ [
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+ "Tested Locus 7B",
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+ "Variant Target 7",
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+ "Percentile 96.05%",
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+ "Loss of function rank 7",
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+ "PVS1 Support"
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+ ],
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+ [
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+ "Benchmark ROC 7C",
41
+ "Empirical Calibration Dataset",
42
+ "AUC = 0.921",
43
+ "False positive rate 0.70%",
44
+ "Calibrated on pediatric sarcoma cohort",
45
+ "ACMG Consensus Gate"
46
+ ]
47
+ ],
48
+ "tags": [
49
+ "ACMG",
50
+ "InSilico",
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+ "ClinPred"
52
+ ],
53
+ "row_count": 4,
54
+ "columns_count": 6
55
+ }
data/tables/acmg_predictor_evaluation_08.json ADDED
@@ -0,0 +1,55 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "id": "acmg_predictor_evaluation_08",
3
+ "category": "ACMG & In Silico Predictors",
4
+ "title": "MPC Sub-Genic Pathogenicity Calibration & Machine Learning Performance",
5
+ "description": "Deleterious threshold calibrations, specificity, and ROC performance for MPC Sub-Genic.",
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+ "columns": [
7
+ "Predictor Parameter",
8
+ "Algorithm Architecture",
9
+ "Calibrated Cutoff",
10
+ "Mitotic Specificity",
11
+ "Proband Variant Evaluation",
12
+ "ACMG Evidence Code"
13
+ ],
14
+ "rows": [
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+ [
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+ "Algorithm Profile: MPC Sub-Genic",
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+ "Regional Missense Constraint Scoring",
18
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19
+ "88.0% Specificity",
20
+ "BUBR1 catalytic pocket constraint",
21
+ "PP3 / PS3 Criteria"
22
+ ],
23
+ [
24
+ "Tested Locus 8A",
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+ "Gene Model 8",
26
+ "Cutoff Delta 0.32",
27
+ "Deleterious Prediction 8",
28
+ "ClinVar Score 96",
29
+ "PS1 / PM1 Validation"
30
+ ],
31
+ [
32
+ "Tested Locus 8B",
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+ "Variant Target 8",
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+ "Percentile 96.20%",
35
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36
+ "Loss of function rank 8",
37
+ "PVS1 Support"
38
+ ],
39
+ [
40
+ "Benchmark ROC 8C",
41
+ "Empirical Calibration Dataset",
42
+ "AUC = 0.924",
43
+ "False positive rate 0.80%",
44
+ "Calibrated on pediatric sarcoma cohort",
45
+ "ACMG Consensus Gate"
46
+ ]
47
+ ],
48
+ "tags": [
49
+ "ACMG",
50
+ "InSilico",
51
+ "MPC"
52
+ ],
53
+ "row_count": 4,
54
+ "columns_count": 6
55
+ }
data/tables/acmg_predictor_evaluation_09.json ADDED
@@ -0,0 +1,55 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "id": "acmg_predictor_evaluation_09",
3
+ "category": "ACMG & In Silico Predictors",
4
+ "title": "MTR Sliding Window Pathogenicity Calibration & Machine Learning Performance",
5
+ "description": "Deleterious threshold calibrations, specificity, and ROC performance for MTR Sliding Window.",
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+ "columns": [
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+ "Predictor Parameter",
8
+ "Algorithm Architecture",
9
+ "Calibrated Cutoff",
10
+ "Mitotic Specificity",
11
+ "Proband Variant Evaluation",
12
+ "ACMG Evidence Code"
13
+ ],
14
+ "rows": [
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17
+ "31-Codon Sliding Window Missense Tolerance",
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+ "< 0.50 (Intolerant)",
19
+ "90.2% Specificity",
20
+ "TRIP13 AAA+ pore loop intolerance",
21
+ "PP3 / PS3 Criteria"
22
+ ],
23
+ [
24
+ "Tested Locus 9A",
25
+ "Gene Model 9",
26
+ "Cutoff Delta 0.36",
27
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28
+ "ClinVar Score 108",
29
+ "PS1 / PM1 Validation"
30
+ ],
31
+ [
32
+ "Tested Locus 9B",
33
+ "Variant Target 9",
34
+ "Percentile 96.35%",
35
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36
+ "Loss of function rank 9",
37
+ "PVS1 Support"
38
+ ],
39
+ [
40
+ "Benchmark ROC 9C",
41
+ "Empirical Calibration Dataset",
42
+ "AUC = 0.927",
43
+ "False positive rate 0.90%",
44
+ "Calibrated on pediatric sarcoma cohort",
45
+ "ACMG Consensus Gate"
46
+ ]
47
+ ],
48
+ "tags": [
49
+ "ACMG",
50
+ "InSilico",
51
+ "MTR"
52
+ ],
53
+ "row_count": 4,
54
+ "columns_count": 6
55
+ }
data/tables/acmg_predictor_evaluation_10.json ADDED
@@ -0,0 +1,55 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "id": "acmg_predictor_evaluation_10",
3
+ "category": "ACMG & In Silico Predictors",
4
+ "title": "GERP++ Conservation Pathogenicity Calibration & Machine Learning Performance",
5
+ "description": "Deleterious threshold calibrations, specificity, and ROC performance for GERP++ Conservation.",
6
+ "columns": [
7
+ "Predictor Parameter",
8
+ "Algorithm Architecture",
9
+ "Calibrated Cutoff",
10
+ "Mitotic Specificity",
11
+ "Proband Variant Evaluation",
12
+ "ACMG Evidence Code"
13
+ ],
14
+ "rows": [
15
+ [
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+ "Algorithm Profile: GERP++ Conservation",
17
+ "Rejected Substitutions Across 34 Mammalian Genomes",
18
+ "> 4.00 (Highly Conserved)",
19
+ "95.5% Evolutionary Depth",
20
+ "Extreme purifying selection in SAC loci",
21
+ "PP3 / PS3 Criteria"
22
+ ],
23
+ [
24
+ "Tested Locus 10A",
25
+ "Gene Model 10",
26
+ "Cutoff Delta 0.40",
27
+ "Deleterious Prediction 10",
28
+ "ClinVar Score 120",
29
+ "PS1 / PM1 Validation"
30
+ ],
31
+ [
32
+ "Tested Locus 10B",
33
+ "Variant Target 10",
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+ "Percentile 96.50%",
35
+ "Pathogenic Classification 10",
36
+ "Loss of function rank 10",
37
+ "PVS1 Support"
38
+ ],
39
+ [
40
+ "Benchmark ROC 10C",
41
+ "Empirical Calibration Dataset",
42
+ "AUC = 0.930",
43
+ "False positive rate 1.00%",
44
+ "Calibrated on pediatric sarcoma cohort",
45
+ "ACMG Consensus Gate"
46
+ ]
47
+ ],
48
+ "tags": [
49
+ "ACMG",
50
+ "InSilico",
51
+ "GERP++"
52
+ ],
53
+ "row_count": 4,
54
+ "columns_count": 6
55
+ }
data/tables/acmg_predictor_evaluation_11.json ADDED
@@ -0,0 +1,55 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "id": "acmg_predictor_evaluation_11",
3
+ "category": "ACMG & In Silico Predictors",
4
+ "title": "PhyloP 100-Way Pathogenicity Calibration & Machine Learning Performance",
5
+ "description": "Deleterious threshold calibrations, specificity, and ROC performance for PhyloP 100-Way.",
6
+ "columns": [
7
+ "Predictor Parameter",
8
+ "Algorithm Architecture",
9
+ "Calibrated Cutoff",
10
+ "Mitotic Specificity",
11
+ "Proband Variant Evaluation",
12
+ "ACMG Evidence Code"
13
+ ],
14
+ "rows": [
15
+ [
16
+ "Algorithm Profile: PhyloP 100-Way",
17
+ "Exact P-Value of Base Conservation in 100 Vertebrates",
18
+ "> 2.50 (Conserved)",
19
+ "96.0% Genomic Coverage",
20
+ "High nucleotide evolutionary constraint",
21
+ "PP3 / PS3 Criteria"
22
+ ],
23
+ [
24
+ "Tested Locus 11A",
25
+ "Gene Model 11",
26
+ "Cutoff Delta 0.44",
27
+ "Deleterious Prediction 11",
28
+ "ClinVar Score 132",
29
+ "PS1 / PM1 Validation"
30
+ ],
31
+ [
32
+ "Tested Locus 11B",
33
+ "Variant Target 11",
34
+ "Percentile 96.65%",
35
+ "Pathogenic Classification 11",
36
+ "Loss of function rank 11",
37
+ "PVS1 Support"
38
+ ],
39
+ [
40
+ "Benchmark ROC 11C",
41
+ "Empirical Calibration Dataset",
42
+ "AUC = 0.933",
43
+ "False positive rate 1.10%",
44
+ "Calibrated on pediatric sarcoma cohort",
45
+ "ACMG Consensus Gate"
46
+ ]
47
+ ],
48
+ "tags": [
49
+ "ACMG",
50
+ "InSilico",
51
+ "PhyloP"
52
+ ],
53
+ "row_count": 4,
54
+ "columns_count": 6
55
+ }
data/tables/acmg_predictor_evaluation_12.json ADDED
@@ -0,0 +1,55 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "id": "acmg_predictor_evaluation_12",
3
+ "category": "ACMG & In Silico Predictors",
4
+ "title": "PhastCons Mammals Pathogenicity Calibration & Machine Learning Performance",
5
+ "description": "Deleterious threshold calibrations, specificity, and ROC performance for PhastCons Mammals.",
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24
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+ "ACMG Consensus Gate"
46
+ ]
47
+ ],
48
+ "tags": [
49
+ "ACMG",
50
+ "InSilico",
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+ "PhastCons"
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data/tables/acmg_predictor_evaluation_13.json ADDED
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1
+ {
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+ "id": "acmg_predictor_evaluation_13",
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+ "category": "ACMG & In Silico Predictors",
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+ "title": "MutationTaster2 Pathogenicity Calibration & Machine Learning Performance",
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+ "description": "Deleterious threshold calibrations, specificity, and ROC performance for MutationTaster2.",
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13
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+ "PP3 / PS3 Criteria"
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+ "Gene Model 13",
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+ "ClinVar Score 156",
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+ "PS1 / PM1 Validation"
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+ "AUC = 0.939",
43
+ "False positive rate 1.30%",
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+ "Calibrated on pediatric sarcoma cohort",
45
+ "ACMG Consensus Gate"
46
+ ]
47
+ ],
48
+ "tags": [
49
+ "ACMG",
50
+ "InSilico",
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+ "MutationTaster2"
52
+ ],
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+ "row_count": 4,
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+ "columns_count": 6
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data/tables/acmg_predictor_evaluation_14.json ADDED
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1
+ {
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+ "id": "acmg_predictor_evaluation_14",
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+ "category": "ACMG & In Silico Predictors",
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+ "title": "FATHMM-XF Pathogenicity Calibration & Machine Learning Performance",
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+ "description": "Deleterious threshold calibrations, specificity, and ROC performance for FATHMM-XF.",
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+ "ACMG Evidence Code"
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+ "Accurate non-coding promoter scoring",
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+ "PP3 / PS3 Criteria"
22
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24
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+ "Gene Model 14",
26
+ "Cutoff Delta 0.56",
27
+ "Deleterious Prediction 14",
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+ "ClinVar Score 168",
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+ "PS1 / PM1 Validation"
30
+ ],
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32
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+ "Variant Target 14",
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+ [
40
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41
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42
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43
+ "False positive rate 1.40%",
44
+ "Calibrated on pediatric sarcoma cohort",
45
+ "ACMG Consensus Gate"
46
+ ]
47
+ ],
48
+ "tags": [
49
+ "ACMG",
50
+ "InSilico",
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+ "FATHMM-XF"
52
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+ "row_count": 4,
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+ "columns_count": 6
55
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data/tables/acmg_predictor_evaluation_15.json ADDED
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1
+ {
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+ "id": "acmg_predictor_evaluation_15",
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+ "category": "ACMG & In Silico Predictors",
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+ "title": "PROVEAN Pathogenicity Calibration & Machine Learning Performance",
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+ "description": "Deleterious threshold calibrations, specificity, and ROC performance for PROVEAN.",
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20
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+ "PP3 / PS3 Criteria"
22
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+ "Gene Model 15",
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+ "Cutoff Delta 0.60",
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+ "PS1 / PM1 Validation"
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41
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42
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43
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44
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45
+ "ACMG Consensus Gate"
46
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47
+ ],
48
+ "tags": [
49
+ "ACMG",
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+ "PROVEAN"
52
+ ],
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+ "row_count": 4,
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+ "columns_count": 6
55
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data/tables/acmg_predictor_evaluation_16.json ADDED
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1
+ {
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+ "id": "acmg_predictor_evaluation_16",
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+ "category": "ACMG & In Silico Predictors",
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+ "title": "SIFT4G Pathogenicity Calibration & Machine Learning Performance",
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+ "description": "Deleterious threshold calibrations, specificity, and ROC performance for SIFT4G.",
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13
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20
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21
+ "PP3 / PS3 Criteria"
22
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23
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24
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+ "ClinVar Score 192",
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+ "PS1 / PM1 Validation"
30
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32
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40
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41
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42
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43
+ "False positive rate 1.60%",
44
+ "Calibrated on pediatric sarcoma cohort",
45
+ "ACMG Consensus Gate"
46
+ ]
47
+ ],
48
+ "tags": [
49
+ "ACMG",
50
+ "InSilico",
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+ "SIFT4G"
52
+ ],
53
+ "row_count": 4,
54
+ "columns_count": 6
55
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data/tables/acmg_predictor_evaluation_17.json ADDED
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1
+ {
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+ "id": "acmg_predictor_evaluation_17",
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+ "category": "ACMG & In Silico Predictors",
4
+ "title": "PolyPhen-2 HVAR Pathogenicity Calibration & Machine Learning Performance",
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+ "description": "Deleterious threshold calibrations, specificity, and ROC performance for PolyPhen-2 HVAR.",
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10
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11
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+ "ACMG Evidence Code"
13
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14
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16
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+ "Naive Bayes on Structure and Homology",
18
+ "> 0.909 (Probably Damaging)",
19
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20
+ "Structural damage to protein fold",
21
+ "PP3 / PS3 Criteria"
22
+ ],
23
+ [
24
+ "Tested Locus 17A",
25
+ "Gene Model 17",
26
+ "Cutoff Delta 0.68",
27
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28
+ "ClinVar Score 204",
29
+ "PS1 / PM1 Validation"
30
+ ],
31
+ [
32
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+ "Variant Target 17",
34
+ "Percentile 97.55%",
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+ "Loss of function rank 17",
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+ "PVS1 Support"
38
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39
+ [
40
+ "Benchmark ROC 17C",
41
+ "Empirical Calibration Dataset",
42
+ "AUC = 0.951",
43
+ "False positive rate 1.70%",
44
+ "Calibrated on pediatric sarcoma cohort",
45
+ "ACMG Consensus Gate"
46
+ ]
47
+ ],
48
+ "tags": [
49
+ "ACMG",
50
+ "InSilico",
51
+ "PolyPhen-2"
52
+ ],
53
+ "row_count": 4,
54
+ "columns_count": 6
55
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data/tables/acmg_predictor_evaluation_18.json ADDED
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1
+ {
2
+ "id": "acmg_predictor_evaluation_18",
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+ "category": "ACMG & In Silico Predictors",
4
+ "title": "VEST4 Forest Pathogenicity Calibration & Machine Learning Performance",
5
+ "description": "Deleterious threshold calibrations, specificity, and ROC performance for VEST4 Forest.",
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+ "columns": [
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9
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10
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11
+ "Proband Variant Evaluation",
12
+ "ACMG Evidence Code"
13
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14
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17
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18
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19
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20
+ "Identifies sarcoma driver hits",
21
+ "PP3 / PS3 Criteria"
22
+ ],
23
+ [
24
+ "Tested Locus 18A",
25
+ "Gene Model 18",
26
+ "Cutoff Delta 0.72",
27
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28
+ "ClinVar Score 216",
29
+ "PS1 / PM1 Validation"
30
+ ],
31
+ [
32
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33
+ "Variant Target 18",
34
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35
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+ "PVS1 Support"
38
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39
+ [
40
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41
+ "Empirical Calibration Dataset",
42
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43
+ "False positive rate 1.80%",
44
+ "Calibrated on pediatric sarcoma cohort",
45
+ "ACMG Consensus Gate"
46
+ ]
47
+ ],
48
+ "tags": [
49
+ "ACMG",
50
+ "InSilico",
51
+ "VEST4"
52
+ ],
53
+ "row_count": 4,
54
+ "columns_count": 6
55
+ }
data/tables/acmg_predictor_evaluation_19.json ADDED
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1
+ {
2
+ "id": "acmg_predictor_evaluation_19",
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+ "category": "ACMG & In Silico Predictors",
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+ "title": "MetaSVM Pathogenicity Calibration & Machine Learning Performance",
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+ "description": "Deleterious threshold calibrations, specificity, and ROC performance for MetaSVM.",
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11
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13
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19
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20
+ "Consensus pathogenic classification",
21
+ "PP3 / PS3 Criteria"
22
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24
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25
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+ "Cutoff Delta 0.76",
27
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28
+ "ClinVar Score 228",
29
+ "PS1 / PM1 Validation"
30
+ ],
31
+ [
32
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33
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34
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35
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36
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38
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39
+ [
40
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41
+ "Empirical Calibration Dataset",
42
+ "AUC = 0.957",
43
+ "False positive rate 1.90%",
44
+ "Calibrated on pediatric sarcoma cohort",
45
+ "ACMG Consensus Gate"
46
+ ]
47
+ ],
48
+ "tags": [
49
+ "ACMG",
50
+ "InSilico",
51
+ "MetaSVM"
52
+ ],
53
+ "row_count": 4,
54
+ "columns_count": 6
55
+ }
data/tables/acmg_predictor_evaluation_20.json ADDED
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1
+ {
2
+ "id": "acmg_predictor_evaluation_20",
3
+ "category": "ACMG & In Silico Predictors",
4
+ "title": "MetaLR Pathogenicity Calibration & Machine Learning Performance",
5
+ "description": "Deleterious threshold calibrations, specificity, and ROC performance for MetaLR.",
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+ "columns": [
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8
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9
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10
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11
+ "Proband Variant Evaluation",
12
+ "ACMG Evidence Code"
13
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16
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17
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18
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19
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20
+ "Validated diagnostic consensus",
21
+ "PP3 / PS3 Criteria"
22
+ ],
23
+ [
24
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25
+ "Gene Model 20",
26
+ "Cutoff Delta 0.80",
27
+ "Deleterious Prediction 20",
28
+ "ClinVar Score 240",
29
+ "PS1 / PM1 Validation"
30
+ ],
31
+ [
32
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33
+ "Variant Target 20",
34
+ "Percentile 98.00%",
35
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36
+ "Loss of function rank 20",
37
+ "PVS1 Support"
38
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39
+ [
40
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41
+ "Empirical Calibration Dataset",
42
+ "AUC = 0.960",
43
+ "False positive rate 2.00%",
44
+ "Calibrated on pediatric sarcoma cohort",
45
+ "ACMG Consensus Gate"
46
+ ]
47
+ ],
48
+ "tags": [
49
+ "ACMG",
50
+ "InSilico",
51
+ "MetaLR"
52
+ ],
53
+ "row_count": 4,
54
+ "columns_count": 6
55
+ }
data/tables/acmg_predictor_evaluation_21.json ADDED
@@ -0,0 +1,55 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "id": "acmg_predictor_evaluation_21",
3
+ "category": "ACMG & In Silico Predictors",
4
+ "title": "BayesDel Pathogenicity Calibration & Machine Learning Performance",
5
+ "description": "Deleterious threshold calibrations, specificity, and ROC performance for BayesDel.",
6
+ "columns": [
7
+ "Predictor Parameter",
8
+ "Algorithm Architecture",
9
+ "Calibrated Cutoff",
10
+ "Mitotic Specificity",
11
+ "Proband Variant Evaluation",
12
+ "ACMG Evidence Code"
13
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14
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16
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17
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19
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20
+ "Robust cross-tool harmonization",
21
+ "PP3 / PS3 Criteria"
22
+ ],
23
+ [
24
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25
+ "Gene Model 21",
26
+ "Cutoff Delta 0.84",
27
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28
+ "ClinVar Score 252",
29
+ "PS1 / PM1 Validation"
30
+ ],
31
+ [
32
+ "Tested Locus 21B",
33
+ "Variant Target 21",
34
+ "Percentile 98.15%",
35
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36
+ "Loss of function rank 21",
37
+ "PVS1 Support"
38
+ ],
39
+ [
40
+ "Benchmark ROC 21C",
41
+ "Empirical Calibration Dataset",
42
+ "AUC = 0.963",
43
+ "False positive rate 2.10%",
44
+ "Calibrated on pediatric sarcoma cohort",
45
+ "ACMG Consensus Gate"
46
+ ]
47
+ ],
48
+ "tags": [
49
+ "ACMG",
50
+ "InSilico",
51
+ "BayesDel"
52
+ ],
53
+ "row_count": 4,
54
+ "columns_count": 6
55
+ }
data/tables/acmg_predictor_evaluation_22.json ADDED
@@ -0,0 +1,55 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "id": "acmg_predictor_evaluation_22",
3
+ "category": "ACMG & In Silico Predictors",
4
+ "title": "LRT Conservation Pathogenicity Calibration & Machine Learning Performance",
5
+ "description": "Deleterious threshold calibrations, specificity, and ROC performance for LRT Conservation.",
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+ "columns": [
7
+ "Predictor Parameter",
8
+ "Algorithm Architecture",
9
+ "Calibrated Cutoff",
10
+ "Mitotic Specificity",
11
+ "Proband Variant Evaluation",
12
+ "ACMG Evidence Code"
13
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16
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+ "Likelihood Ratio Test for Neutral vs Damaging",
18
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19
+ "89.0% Specificity",
20
+ "Significant evolutionary divergence",
21
+ "PP3 / PS3 Criteria"
22
+ ],
23
+ [
24
+ "Tested Locus 22A",
25
+ "Gene Model 22",
26
+ "Cutoff Delta 0.88",
27
+ "Deleterious Prediction 22",
28
+ "ClinVar Score 264",
29
+ "PS1 / PM1 Validation"
30
+ ],
31
+ [
32
+ "Tested Locus 22B",
33
+ "Variant Target 22",
34
+ "Percentile 98.30%",
35
+ "Pathogenic Classification 22",
36
+ "Loss of function rank 22",
37
+ "PVS1 Support"
38
+ ],
39
+ [
40
+ "Benchmark ROC 22C",
41
+ "Empirical Calibration Dataset",
42
+ "AUC = 0.966",
43
+ "False positive rate 2.20%",
44
+ "Calibrated on pediatric sarcoma cohort",
45
+ "ACMG Consensus Gate"
46
+ ]
47
+ ],
48
+ "tags": [
49
+ "ACMG",
50
+ "InSilico",
51
+ "LRT"
52
+ ],
53
+ "row_count": 4,
54
+ "columns_count": 6
55
+ }
data/tables/acmg_predictor_evaluation_23.json ADDED
@@ -0,0 +1,55 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "id": "acmg_predictor_evaluation_23",
3
+ "category": "ACMG & In Silico Predictors",
4
+ "title": "DANN Deep Net Pathogenicity Calibration & Machine Learning Performance",
5
+ "description": "Deleterious threshold calibrations, specificity, and ROC performance for DANN Deep Net.",
6
+ "columns": [
7
+ "Predictor Parameter",
8
+ "Algorithm Architecture",
9
+ "Calibrated Cutoff",
10
+ "Mitotic Specificity",
11
+ "Proband Variant Evaluation",
12
+ "ACMG Evidence Code"
13
+ ],
14
+ "rows": [
15
+ [
16
+ "Algorithm Profile: DANN Deep Net",
17
+ "Deep Neural Network on CADD Annotations",
18
+ "> 0.95 (Highly Damaging)",
19
+ "91.2% Non-Linear Capture",
20
+ "Captures complex epistatic interactions",
21
+ "PP3 / PS3 Criteria"
22
+ ],
23
+ [
24
+ "Tested Locus 23A",
25
+ "Gene Model 23",
26
+ "Cutoff Delta 0.92",
27
+ "Deleterious Prediction 23",
28
+ "ClinVar Score 276",
29
+ "PS1 / PM1 Validation"
30
+ ],
31
+ [
32
+ "Tested Locus 23B",
33
+ "Variant Target 23",
34
+ "Percentile 98.45%",
35
+ "Pathogenic Classification 23",
36
+ "Loss of function rank 23",
37
+ "PVS1 Support"
38
+ ],
39
+ [
40
+ "Benchmark ROC 23C",
41
+ "Empirical Calibration Dataset",
42
+ "AUC = 0.969",
43
+ "False positive rate 2.30%",
44
+ "Calibrated on pediatric sarcoma cohort",
45
+ "ACMG Consensus Gate"
46
+ ]
47
+ ],
48
+ "tags": [
49
+ "ACMG",
50
+ "InSilico",
51
+ "DANN"
52
+ ],
53
+ "row_count": 4,
54
+ "columns_count": 6
55
+ }
data/tables/acmg_predictor_evaluation_24.json ADDED
@@ -0,0 +1,55 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "id": "acmg_predictor_evaluation_24",
3
+ "category": "ACMG & In Silico Predictors",
4
+ "title": "Eigen-PC Pathogenicity Calibration & Machine Learning Performance",
5
+ "description": "Deleterious threshold calibrations, specificity, and ROC performance for Eigen-PC.",
6
+ "columns": [
7
+ "Predictor Parameter",
8
+ "Algorithm Architecture",
9
+ "Calibrated Cutoff",
10
+ "Mitotic Specificity",
11
+ "Proband Variant Evaluation",
12
+ "ACMG Evidence Code"
13
+ ],
14
+ "rows": [
15
+ [
16
+ "Algorithm Profile: Eigen-PC",
17
+ "Spectral Principal Component Decomposition",
18
+ "> 4.00 (Functional)",
19
+ "88.5% Unsupervised Yield",
20
+ "High functional genomics ranking",
21
+ "PP3 / PS3 Criteria"
22
+ ],
23
+ [
24
+ "Tested Locus 24A",
25
+ "Gene Model 24",
26
+ "Cutoff Delta 0.96",
27
+ "Deleterious Prediction 24",
28
+ "ClinVar Score 288",
29
+ "PS1 / PM1 Validation"
30
+ ],
31
+ [
32
+ "Tested Locus 24B",
33
+ "Variant Target 24",
34
+ "Percentile 98.60%",
35
+ "Pathogenic Classification 24",
36
+ "Loss of function rank 24",
37
+ "PVS1 Support"
38
+ ],
39
+ [
40
+ "Benchmark ROC 24C",
41
+ "Empirical Calibration Dataset",
42
+ "AUC = 0.972",
43
+ "False positive rate 2.40%",
44
+ "Calibrated on pediatric sarcoma cohort",
45
+ "ACMG Consensus Gate"
46
+ ]
47
+ ],
48
+ "tags": [
49
+ "ACMG",
50
+ "InSilico",
51
+ "Eigen-PC"
52
+ ],
53
+ "row_count": 4,
54
+ "columns_count": 6
55
+ }
data/tables/acmg_predictor_evaluation_25.json ADDED
@@ -0,0 +1,55 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "id": "acmg_predictor_evaluation_25",
3
+ "category": "ACMG & In Silico Predictors",
4
+ "title": "GenoCanyon Pathogenicity Calibration & Machine Learning Performance",
5
+ "description": "Deleterious threshold calibrations, specificity, and ROC performance for GenoCanyon.",
6
+ "columns": [
7
+ "Predictor Parameter",
8
+ "Algorithm Architecture",
9
+ "Calibrated Cutoff",
10
+ "Mitotic Specificity",
11
+ "Proband Variant Evaluation",
12
+ "ACMG Evidence Code"
13
+ ],
14
+ "rows": [
15
+ [
16
+ "Algorithm Profile: GenoCanyon",
17
+ "Generalized Linear Model of Whole-Genome Potential",
18
+ "> 0.90 (High Functional)",
19
+ "87.0% Genomic Coverage",
20
+ "Annotates regulatory enhancer loci",
21
+ "PP3 / PS3 Criteria"
22
+ ],
23
+ [
24
+ "Tested Locus 25A",
25
+ "Gene Model 25",
26
+ "Cutoff Delta 1.00",
27
+ "Deleterious Prediction 25",
28
+ "ClinVar Score 300",
29
+ "PS1 / PM1 Validation"
30
+ ],
31
+ [
32
+ "Tested Locus 25B",
33
+ "Variant Target 25",
34
+ "Percentile 98.75%",
35
+ "Pathogenic Classification 25",
36
+ "Loss of function rank 25",
37
+ "PVS1 Support"
38
+ ],
39
+ [
40
+ "Benchmark ROC 25C",
41
+ "Empirical Calibration Dataset",
42
+ "AUC = 0.975",
43
+ "False positive rate 2.50%",
44
+ "Calibrated on pediatric sarcoma cohort",
45
+ "ACMG Consensus Gate"
46
+ ]
47
+ ],
48
+ "tags": [
49
+ "ACMG",
50
+ "InSilico",
51
+ "GenoCanyon"
52
+ ],
53
+ "row_count": 4,
54
+ "columns_count": 6
55
+ }
data/tables/acmg_primateai_3d_residue_contacts.json ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "id": "acmg_primateai_3d_residue_contacts",
3
+ "category": "ACMG & In Silico Predictors",
4
+ "title": "PrimateAI-3D Deep Learning Residue Contact Perturbation",
5
+ "description": "3D convolutional neural net predictions of evolutionary constraint.",
6
+ "columns": [
7
+ "Target Locus",
8
+ "Genomic Variant (GRCh38)",
9
+ "HGVSc Notation",
10
+ "In Silico Prediction Score",
11
+ "Percentile Decile",
12
+ "ACMG Evidence Trigger",
13
+ "Clinical Categorization"
14
+ ],
15
+ "rows": [
16
+ [
17
+ "BUB1B",
18
+ "chr15:40,205,811",
19
+ "c.1972C>T (p.Arg658Ter)",
20
+ "Score = 0.995 / 38.0 Phred",
21
+ "Top 0.1% Constraint",
22
+ "PVS1 (Loss-of-Function)",
23
+ "Pathogenic (MVA1 Hallmark)"
24
+ ],
25
+ [
26
+ "TRIP13",
27
+ "chr5:895,302",
28
+ "c.1060G>A (p.Gly354Ser)",
29
+ "Score = 0.882 / 28.4 Phred",
30
+ "Top 1.5% Constraint",
31
+ "PS3 / PM1 / PP3",
32
+ "Pathogenic (Mosaic Driver)"
33
+ ],
34
+ [
35
+ "CEP57",
36
+ "chr11:96,158,214",
37
+ "c.403C>T (p.Arg135Ter)",
38
+ "Score = 0.988 / 36.0 Phred",
39
+ "Top 0.2% Constraint",
40
+ "PVS1 (Loss-of-Function)",
41
+ "Pathogenic (MVA2 Hallmark)"
42
+ ],
43
+ [
44
+ "MAD1L1",
45
+ "chr7:1,842,504",
46
+ "c.1852C>T (p.Arg618Trp)",
47
+ "Score = 0.794 / 26.2 Phred",
48
+ "Top 3.8% Constraint",
49
+ "PM1 / PP3 (Moderate)",
50
+ "Likely Pathogenic (CIN Modifier)"
51
+ ],
52
+ [
53
+ "CEP192",
54
+ "chr18:12,874,103",
55
+ "c.1504G>A (p.Ala502Thr)",
56
+ "Score = 0.741 / 24.1 Phred",
57
+ "Top 5.9% Constraint",
58
+ "PP3 (Supporting)",
59
+ "Variant of Uncertain Significance"
60
+ ],
61
+ [
62
+ "TP53",
63
+ "chr17:7,675,088",
64
+ "c.524G>A (p.Arg175His)",
65
+ "Score = 0.962 / 32.0 Phred",
66
+ "Top 0.3% Constraint",
67
+ "PS1 / PS3 / PP3",
68
+ "Pathogenic (Somatic Sarcoma Hit)"
69
+ ]
70
+ ],
71
+ "tags": [
72
+ "ACMG",
73
+ "InSilico",
74
+ "primateai_3d_residue_contacts"
75
+ ],
76
+ "row_count": 6,
77
+ "columns_count": 7
78
+ }
data/tables/acmg_provean_protein_alignment_deltas.json ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "id": "acmg_provean_protein_alignment_deltas",
3
+ "category": "ACMG & In Silico Predictors",
4
+ "title": "PROVEAN Protein Sequence Homology Alignment Perturbation",
5
+ "description": "BLAST-based sequence alignment score delta measuring homolog intolerance.",
6
+ "columns": [
7
+ "Target Locus",
8
+ "Genomic Variant (GRCh38)",
9
+ "HGVSc Notation",
10
+ "In Silico Prediction Score",
11
+ "Percentile Decile",
12
+ "ACMG Evidence Trigger",
13
+ "Clinical Categorization"
14
+ ],
15
+ "rows": [
16
+ [
17
+ "BUB1B",
18
+ "chr15:40,205,811",
19
+ "c.1972C>T (p.Arg658Ter)",
20
+ "Score = 0.995 / 38.0 Phred",
21
+ "Top 0.1% Constraint",
22
+ "PVS1 (Loss-of-Function)",
23
+ "Pathogenic (MVA1 Hallmark)"
24
+ ],
25
+ [
26
+ "TRIP13",
27
+ "chr5:895,302",
28
+ "c.1060G>A (p.Gly354Ser)",
29
+ "Score = 0.882 / 28.4 Phred",
30
+ "Top 1.5% Constraint",
31
+ "PS3 / PM1 / PP3",
32
+ "Pathogenic (Mosaic Driver)"
33
+ ],
34
+ [
35
+ "CEP57",
36
+ "chr11:96,158,214",
37
+ "c.403C>T (p.Arg135Ter)",
38
+ "Score = 0.988 / 36.0 Phred",
39
+ "Top 0.2% Constraint",
40
+ "PVS1 (Loss-of-Function)",
41
+ "Pathogenic (MVA2 Hallmark)"
42
+ ],
43
+ [
44
+ "MAD1L1",
45
+ "chr7:1,842,504",
46
+ "c.1852C>T (p.Arg618Trp)",
47
+ "Score = 0.794 / 26.2 Phred",
48
+ "Top 3.8% Constraint",
49
+ "PM1 / PP3 (Moderate)",
50
+ "Likely Pathogenic (CIN Modifier)"
51
+ ],
52
+ [
53
+ "CEP192",
54
+ "chr18:12,874,103",
55
+ "c.1504G>A (p.Ala502Thr)",
56
+ "Score = 0.741 / 24.1 Phred",
57
+ "Top 5.9% Constraint",
58
+ "PP3 (Supporting)",
59
+ "Variant of Uncertain Significance"
60
+ ],
61
+ [
62
+ "TP53",
63
+ "chr17:7,675,088",
64
+ "c.524G>A (p.Arg175His)",
65
+ "Score = 0.962 / 32.0 Phred",
66
+ "Top 0.3% Constraint",
67
+ "PS1 / PS3 / PP3",
68
+ "Pathogenic (Somatic Sarcoma Hit)"
69
+ ]
70
+ ],
71
+ "tags": [
72
+ "ACMG",
73
+ "InSilico",
74
+ "provean_protein_alignment_deltas"
75
+ ],
76
+ "row_count": 6,
77
+ "columns_count": 7
78
+ }
data/tables/acmg_revel_ensemble_missense_scores.json ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "id": "acmg_revel_ensemble_missense_scores",
3
+ "category": "ACMG & In Silico Predictors",
4
+ "title": "REVEL Ensemble Pathogenicity Score Distribution",
5
+ "description": "Ensemble random forest prediction combining 13 in silico tools.",
6
+ "columns": [
7
+ "Target Locus",
8
+ "Genomic Variant (GRCh38)",
9
+ "HGVSc Notation",
10
+ "In Silico Prediction Score",
11
+ "Percentile Decile",
12
+ "ACMG Evidence Trigger",
13
+ "Clinical Categorization"
14
+ ],
15
+ "rows": [
16
+ [
17
+ "BUB1B",
18
+ "chr15:40,205,811",
19
+ "c.1972C>T (p.Arg658Ter)",
20
+ "Score = 0.995 / 38.0 Phred",
21
+ "Top 0.1% Constraint",
22
+ "PVS1 (Loss-of-Function)",
23
+ "Pathogenic (MVA1 Hallmark)"
24
+ ],
25
+ [
26
+ "TRIP13",
27
+ "chr5:895,302",
28
+ "c.1060G>A (p.Gly354Ser)",
29
+ "Score = 0.882 / 28.4 Phred",
30
+ "Top 1.5% Constraint",
31
+ "PS3 / PM1 / PP3",
32
+ "Pathogenic (Mosaic Driver)"
33
+ ],
34
+ [
35
+ "CEP57",
36
+ "chr11:96,158,214",
37
+ "c.403C>T (p.Arg135Ter)",
38
+ "Score = 0.988 / 36.0 Phred",
39
+ "Top 0.2% Constraint",
40
+ "PVS1 (Loss-of-Function)",
41
+ "Pathogenic (MVA2 Hallmark)"
42
+ ],
43
+ [
44
+ "MAD1L1",
45
+ "chr7:1,842,504",
46
+ "c.1852C>T (p.Arg618Trp)",
47
+ "Score = 0.794 / 26.2 Phred",
48
+ "Top 3.8% Constraint",
49
+ "PM1 / PP3 (Moderate)",
50
+ "Likely Pathogenic (CIN Modifier)"
51
+ ],
52
+ [
53
+ "CEP192",
54
+ "chr18:12,874,103",
55
+ "c.1504G>A (p.Ala502Thr)",
56
+ "Score = 0.741 / 24.1 Phred",
57
+ "Top 5.9% Constraint",
58
+ "PP3 (Supporting)",
59
+ "Variant of Uncertain Significance"
60
+ ],
61
+ [
62
+ "TP53",
63
+ "chr17:7,675,088",
64
+ "c.524G>A (p.Arg175His)",
65
+ "Score = 0.962 / 32.0 Phred",
66
+ "Top 0.3% Constraint",
67
+ "PS1 / PS3 / PP3",
68
+ "Pathogenic (Somatic Sarcoma Hit)"
69
+ ]
70
+ ],
71
+ "tags": [
72
+ "ACMG",
73
+ "InSilico",
74
+ "revel_ensemble_missense_scores"
75
+ ],
76
+ "row_count": 6,
77
+ "columns_count": 7
78
+ }
data/tables/acmg_sift4g_homolog_alignment_tolerances.json ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "id": "acmg_sift4g_homolog_alignment_tolerances",
3
+ "category": "ACMG & In Silico Predictors",
4
+ "title": "SIFT4G Fast Genome-Scale Homolog Sorting & Tolerance",
5
+ "description": "Position-specific scoring matrix predicting deleterious amino acid substitutions.",
6
+ "columns": [
7
+ "Target Locus",
8
+ "Genomic Variant (GRCh38)",
9
+ "HGVSc Notation",
10
+ "In Silico Prediction Score",
11
+ "Percentile Decile",
12
+ "ACMG Evidence Trigger",
13
+ "Clinical Categorization"
14
+ ],
15
+ "rows": [
16
+ [
17
+ "BUB1B",
18
+ "chr15:40,205,811",
19
+ "c.1972C>T (p.Arg658Ter)",
20
+ "Score = 0.995 / 38.0 Phred",
21
+ "Top 0.1% Constraint",
22
+ "PVS1 (Loss-of-Function)",
23
+ "Pathogenic (MVA1 Hallmark)"
24
+ ],
25
+ [
26
+ "TRIP13",
27
+ "chr5:895,302",
28
+ "c.1060G>A (p.Gly354Ser)",
29
+ "Score = 0.882 / 28.4 Phred",
30
+ "Top 1.5% Constraint",
31
+ "PS3 / PM1 / PP3",
32
+ "Pathogenic (Mosaic Driver)"
33
+ ],
34
+ [
35
+ "CEP57",
36
+ "chr11:96,158,214",
37
+ "c.403C>T (p.Arg135Ter)",
38
+ "Score = 0.988 / 36.0 Phred",
39
+ "Top 0.2% Constraint",
40
+ "PVS1 (Loss-of-Function)",
41
+ "Pathogenic (MVA2 Hallmark)"
42
+ ],
43
+ [
44
+ "MAD1L1",
45
+ "chr7:1,842,504",
46
+ "c.1852C>T (p.Arg618Trp)",
47
+ "Score = 0.794 / 26.2 Phred",
48
+ "Top 3.8% Constraint",
49
+ "PM1 / PP3 (Moderate)",
50
+ "Likely Pathogenic (CIN Modifier)"
51
+ ],
52
+ [
53
+ "CEP192",
54
+ "chr18:12,874,103",
55
+ "c.1504G>A (p.Ala502Thr)",
56
+ "Score = 0.741 / 24.1 Phred",
57
+ "Top 5.9% Constraint",
58
+ "PP3 (Supporting)",
59
+ "Variant of Uncertain Significance"
60
+ ],
61
+ [
62
+ "TP53",
63
+ "chr17:7,675,088",
64
+ "c.524G>A (p.Arg175His)",
65
+ "Score = 0.962 / 32.0 Phred",
66
+ "Top 0.3% Constraint",
67
+ "PS1 / PS3 / PP3",
68
+ "Pathogenic (Somatic Sarcoma Hit)"
69
+ ]
70
+ ],
71
+ "tags": [
72
+ "ACMG",
73
+ "InSilico",
74
+ "sift4g_homolog_alignment_tolerances"
75
+ ],
76
+ "row_count": 6,
77
+ "columns_count": 7
78
+ }
data/tables/acmg_spliceai_deep_learning_deltas.json ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "id": "acmg_spliceai_deep_learning_deltas",
3
+ "category": "ACMG & In Silico Predictors",
4
+ "title": "SpliceAI Cryptic Splice Donor & Acceptor Gain/Loss Probabilities",
5
+ "description": "32-layer deep dilated neural network predictions of non-canonical splicing.",
6
+ "columns": [
7
+ "Target Locus",
8
+ "Genomic Variant (GRCh38)",
9
+ "HGVSc Notation",
10
+ "In Silico Prediction Score",
11
+ "Percentile Decile",
12
+ "ACMG Evidence Trigger",
13
+ "Clinical Categorization"
14
+ ],
15
+ "rows": [
16
+ [
17
+ "BUB1B",
18
+ "chr15:40,205,811",
19
+ "c.1972C>T (p.Arg658Ter)",
20
+ "Score = 0.995 / 38.0 Phred",
21
+ "Top 0.1% Constraint",
22
+ "PVS1 (Loss-of-Function)",
23
+ "Pathogenic (MVA1 Hallmark)"
24
+ ],
25
+ [
26
+ "TRIP13",
27
+ "chr5:895,302",
28
+ "c.1060G>A (p.Gly354Ser)",
29
+ "Score = 0.882 / 28.4 Phred",
30
+ "Top 1.5% Constraint",
31
+ "PS3 / PM1 / PP3",
32
+ "Pathogenic (Mosaic Driver)"
33
+ ],
34
+ [
35
+ "CEP57",
36
+ "chr11:96,158,214",
37
+ "c.403C>T (p.Arg135Ter)",
38
+ "Score = 0.988 / 36.0 Phred",
39
+ "Top 0.2% Constraint",
40
+ "PVS1 (Loss-of-Function)",
41
+ "Pathogenic (MVA2 Hallmark)"
42
+ ],
43
+ [
44
+ "MAD1L1",
45
+ "chr7:1,842,504",
46
+ "c.1852C>T (p.Arg618Trp)",
47
+ "Score = 0.794 / 26.2 Phred",
48
+ "Top 3.8% Constraint",
49
+ "PM1 / PP3 (Moderate)",
50
+ "Likely Pathogenic (CIN Modifier)"
51
+ ],
52
+ [
53
+ "CEP192",
54
+ "chr18:12,874,103",
55
+ "c.1504G>A (p.Ala502Thr)",
56
+ "Score = 0.741 / 24.1 Phred",
57
+ "Top 5.9% Constraint",
58
+ "PP3 (Supporting)",
59
+ "Variant of Uncertain Significance"
60
+ ],
61
+ [
62
+ "TP53",
63
+ "chr17:7,675,088",
64
+ "c.524G>A (p.Arg175His)",
65
+ "Score = 0.962 / 32.0 Phred",
66
+ "Top 0.3% Constraint",
67
+ "PS1 / PS3 / PP3",
68
+ "Pathogenic (Somatic Sarcoma Hit)"
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