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.. _acmg_assignment: | ||
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=============== | ||
ACMG Assignment | ||
=============== | ||
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Starting with version 13.1.0, Exomiser performs a partial categorisation of the variants contributing to the gene | ||
score for a mode of inheritance using the ACMG/AMP `Standards and guidelines for the interpretation of sequence | ||
variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association | ||
for Molecular Pathology <https://doi.org/10.1038/gim.2015.30>`_. The criteria are assigned and combined according to the | ||
`UK ACGS 2020 guidelines <https://www.acgs.uk.com/media/11631/uk-practice-guidelines-for-variant-classification-v4-01-2020.pdf>`_. | ||
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It is important to be aware that these scores are not a substitute for manual assignment by a qualified clinical geneticist | ||
or clinician - The scores displayed utilise the data found in the Exomiser database and are a subset of the possible | ||
criteria by which to assess a variant. Nonetheless, in our benchmarking on the returned cases from the 100K Genomes Project, | ||
restricting to variants with these automated P/LP classifications increases precision (positive predictive value) markedly | ||
without excluding many real diagnoses. For example, on a cohort of 742 solved cases where the top 5 Exomiser candidates | ||
were considered, including the P/LP criteria increased precision 3.8-fold from 15% to 57% with only a small drop in the | ||
recall of the diagnoses from 94% to 83%. An even larger 5.7-fold increase of precision from 3% to 17% was observed when | ||
considering a larger cohort of 31k cases where only 17% had received a positive diagnosis (again with a modest drop in | ||
recall from 91% to 75%). | ||
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Exomiser is capable of assigning the following ACMG categories: | ||
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Computational and Predictive Data | ||
================================= | ||
PVS1 | ||
---- | ||
Variants must have a predicted loss of function effect, be in a gene with known disease associations and have a gene | ||
constraint LOF O/E < 0.7635 (gnomAD 2.1.1) to suggest that a gene is LoF intolerant. Variants not predicted to lead to | ||
NMD (those located in the last exon) will have the modifier downgraded to Strong. | ||
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PM4 | ||
--- | ||
Stop-loss and in-frame insertions or deletions, not previously assigned a `PVS1` criterion are assigned `PM4`. | ||
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PP3 / BP4 | ||
--------- | ||
If REVEL is chosen as a pathogenicity predictor for missense variants, `PP3` and `BP4` are assigned using the modifiers | ||
according to table 2 of `Evidence-based calibration of computational tools for missense variant pathogenicity classification | ||
and ClinGen recommendations for clinical use of PP3/BP4 criteria <https://www.biorxiv.org/content/10.1101/2022.03.17.484479v1>`_. | ||
Note that this suggests the use of modifiers up to Strong in the case of pathogenic or Very Strong in the case of benign predictions. | ||
Otherwise, an ensemble-based approach will be used for other pathogenicity predictors as per the original 215 guidelines. | ||
It should be noted we found better performance using the REVEL-based approach when testing against the 100K genomes data. | ||
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Segregation Data | ||
================ | ||
BS4 | ||
--- | ||
If a pedigree with two or more members, including the proband is provided, Exomiser will assign `BS4` for variants not | ||
segregating with affected members of the family. | ||
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De novo Data | ||
=========== | ||
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PS2 | ||
--- | ||
Exomiser assigns the `PS2` criterion for variants compatible with a dominant mode of inheritance, with a pedigree containing | ||
at least two ancestors of the proband, none of whom are affected and none of whom share the same allele as the proband. | ||
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Population Data | ||
=============== | ||
BA1 | ||
--- | ||
Given Exomiser will filter out alleles with an allele frequency of >= 2.0%, this is unlikely to be seen. However, alleles | ||
with a maximum frequency >= 5.0% in the frequency sources specified will be assigned the `BA1` criterion. | ||
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PM2 | ||
--- | ||
Alleles not present in the ESP, ExAC and 1000 Genomes data sets (i.e. the allele must be absent from all three) are | ||
assigned the `PM2` criterion. | ||
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Allelic Data | ||
============ | ||
PM3 / BP2 | ||
--------- | ||
If Exomiser is provided with a phased VCF and a variant is found to be *in-trans* with a ClinVar Pathogenic variant and | ||
associated with a recessive disorder, the `PM3` criterion will be applied. However, in cases where variant is being | ||
considered for a recessive disorder and is *in-cis* or a dominant disorder and *in-trans* with another pathogenic variant | ||
the `BP2` criterion is applied. | ||
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Phenotype | ||
========= | ||
PP4 | ||
--- | ||
Given Exomiser's focus on phenotype-driven variant prioritisation, variants in a gene associated with a disorder with a | ||
phenotype match score > 0.6 to the patient's phenotype are assigned the `PP4` criterion at the Moderate, rather than | ||
Supporting level. | ||
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Clinical | ||
======== | ||
PP5 / BP6 | ||
-------- | ||
If a variant is previously reported as P/LP in ClinVar with a 1-start rating, it will be assigned `PP5`, those with >= 2 | ||
stars (multiple submitters, criteria provided, no conflicts / reviewed by expert panel / practice guideline) will be | ||
assigned a Strong level. Conversely, if the variant is previously reported as B/LB it will be assigned `BP6` with the same | ||
modification criteria. Typically these P/LP variants will be in the Exomiser ClinVar 'whitelist', and will have | ||
a very high variant score irrespective of the predicted variant effect and always survive any filtering criteria. | ||
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Transcript Selection | ||
==================== | ||
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Transcripts will be selected using the most deleterious predicted variant effect from `Jannovar <https://doi.org/10.1002/humu.22531>`_ | ||
according to the `transcript-source` property set in the `application.properties`. We recommend using the Ensembl | ||
transcript datasource as the Exomiser build uses the GENCODE basic set of transcripts. Future versions should use MANE transcripts. | ||
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ACMG assignments will be reported for a variant on a transcript consistent with a particular mode of inheritance in | ||
conjunction with a disorder, the assigned criteria with any modifiers and the final classification e.g. | ||
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.. parsed-literal:: | ||
1-12335-A-T, NC_000001.10:g.12335A>T, GENE1(ENST12345678):c.2346A>T:p.1234A>-, PATHOGENIC, [PVS1, PS1, PP4_Strong], Disease (OMIM:12345), AUTOSOMAL_DOMINANT | ||
.. code-block:: json | ||
"acmgAssignments": [ | ||
{ | ||
"variantEvaluation": { | ||
"genomeAssembly": "HG19", | ||
"contigName": "10", | ||
"start": 123256215, | ||
"end": 123256215, | ||
"ref": "T", | ||
"alt": "G", | ||
"type": "SNV", | ||
"length": 1, | ||
"phredScore": 100, | ||
"variantEffect": "MISSENSE_VARIANT", | ||
"whiteListed": true, | ||
"filterStatus": "PASSED", | ||
"contributesToGeneScore": true, | ||
"variantScore": 1, | ||
"frequencyScore": 1, | ||
"pathogenicityScore": 1, | ||
"predictedPathogenic": true, | ||
"passedFilterTypes": [ | ||
"FAILED_VARIANT_FILTER", | ||
"PATHOGENICITY_FILTER", | ||
"FREQUENCY_FILTER", | ||
"VARIANT_EFFECT_FILTER", | ||
"INHERITANCE_FILTER" | ||
], | ||
"frequencyData": { | ||
"rsId": "rs121918506", | ||
"score": 1 | ||
}, | ||
"pathogenicityData": { | ||
"clinVarData": { | ||
"alleleId": "28333", | ||
"primaryInterpretation": "LIKELY_PATHOGENIC", | ||
"reviewStatus": "criteria provided, single submitter" | ||
}, | ||
"score": 0.965, | ||
"predictedPathogenicityScores": [ | ||
{ | ||
"source": "REVEL", | ||
"score": 0.965 | ||
}, | ||
{ | ||
"source": "MVP", | ||
"score": 0.9517972 | ||
} | ||
], | ||
"mostPathogenicScore": { | ||
"source": "REVEL", | ||
"score": 0.965 | ||
} | ||
}, | ||
"compatibleInheritanceModes": [ | ||
"AUTOSOMAL_DOMINANT" | ||
], | ||
"contributingInheritanceModes": [ | ||
"AUTOSOMAL_DOMINANT" | ||
], | ||
"transcriptAnnotations": [ | ||
{ | ||
"variantEffect": "MISSENSE_VARIANT", | ||
"geneSymbol": "FGFR2", | ||
"accession": "ENST00000346997.2", | ||
"hgvsGenomic": "g.12278533A>C", | ||
"hgvsCdna": "c.1688A>C", | ||
"hgvsProtein": "p.(Glu563Ala)", | ||
"rankType": "EXON", | ||
"rank": 12, | ||
"rankTotal": 17 | ||
}, | ||
{ | ||
"variantEffect": "MISSENSE_VARIANT", | ||
"geneSymbol": "FGFR2", | ||
"accession": "ENST00000351936.6", | ||
"hgvsGenomic": "g.12278533A>C", | ||
"hgvsCdna": "c.1688A>C", | ||
"hgvsProtein": "p.(Glu563Ala)", | ||
"rankType": "EXON", | ||
"rank": 13, | ||
"rankTotal": 18 | ||
} | ||
] | ||
}, | ||
"geneIdentifier": { | ||
"geneId": "ENSG00000066468", | ||
"geneSymbol": "FGFR2", | ||
"hgncId": "HGNC:3689", | ||
"hgncSymbol": "FGFR2", | ||
"entrezId": "2263", | ||
"ensemblId": "ENSG00000066468", | ||
"ucscId": "uc057wle.1" | ||
}, | ||
"modeOfInheritance": "AUTOSOMAL_DOMINANT", | ||
"disease": { | ||
"diseaseId": "OMIM:123150", | ||
"diseaseName": "Jackson-Weiss syndrome", | ||
"associatedGeneId": 2263, | ||
"diseaseType": "DISEASE", | ||
"inheritanceMode": "AUTOSOMAL_DOMINANT", | ||
"phenotypeIds": [ | ||
"HP:0000006", | ||
"HP:0000272", | ||
"HP:0001363", | ||
"HP:0001783", | ||
"HP:0004691", | ||
"HP:0008080", | ||
"HP:0008122", | ||
"HP:0010055", | ||
"HP:0010743", | ||
"HP:0011800" | ||
], | ||
"id": "OMIM:123150", | ||
"associatedGeneSymbol": "FGFR2" | ||
}, | ||
"acmgEvidence": { | ||
"evidence": { | ||
"PM2": "MODERATE", | ||
"PP3": "STRONG", | ||
"PP4": "SUPPORTING", | ||
"PP5": "SUPPORTING" | ||
} | ||
}, | ||
"acmgClassification": "LIKELY_PATHOGENIC" | ||
} | ||
] | ||
} |
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