PVS1 (Pathogenic Very Strong 1) is a criterion from the American College of Medical Genetics and Genomics/Association for Molecular Pathology (ACMG/AMP) guidelines used to classify the pathogenicity of genetic variants. It applies to loss-of-function (LoF) variants (e.g., nonsense, frameshift, splice-site, or exon deletions) in genes where LoF is a known disease mechanism .
Key characteristics:
Variant types: Null variants predicted to disrupt gene function (e.g., premature stop codons, canonical splice-site alterations).
Gene context: LoF must be an established disease mechanism for the gene .
Strength levels: Modified as PVS1_VeryStrong, PVS1_Strong, PVS1_Moderate, or PVS1_Supporting based on evidence .
AutoPVS1, an automated classification tool, streamlines PVS1 interpretation by integrating:
For example, splicing variants are downgraded to PVS1_Strong/Moderate in 40.7% of cases due to alternative splicing or incomplete LoF .
ClinGen expert panels recommend gene-specific adjustments:
CDH1: Canonical splice-site variants receive PVS1_Strong/Moderate instead of PVS1_VeryStrong .
GCK: In-frame deletions removing critical functional domains retain PVS1_VeryStrong .
Initiation codon variants: Strength depends on proximity to downstream pathogenic variants .
False positives: 27.6% of putative LoF variants do not meet PVS1_VeryStrong due to variant-specific or disease-mechanism issues .
Transcript complexity: Multiple isoforms or non-canonical splice sites complicate interpretation .
Experimental validation: RNA splicing assays are critical for confirming PVS1 applicability .
PVS1 combined with PM2 (absent in controls) often leads to likely pathogenic classifications, directly impacting patient management . Misclassification risks underscore the need for tools like AutoPVS1, which achieves 95% concordance with manual curation .
The PVS1 criterion is the only element in the 2015 ACMG/AMP sequence variant interpretation guidelines that carries a "Very Strong" pathogenicity weight. It was defined for "null variant (nonsense, frameshift, canonical ±1 or 2 splice sites, initiation codon, single or multi-exon deletion) in a gene where loss-of-function (LoF) is a known mechanism of disease" . When properly applied, this criterion significantly impacts variant classification, as a combination of PVS1 with only one moderate or two supporting pathogenicity criteria can lead to a likely pathogenic or pathogenic classification, respectively .
Accurate PVS1 interpretation is critical because null variants are prevalent within the human genome (at least 100 per genome) and are markedly enriched in low-frequency alleles . These variants often meet the PM2 criterion (moderate evidence for pathogenicity based on low frequency) in the ACMG/AMP guidelines. The combination of PVS1_VeryStrong and PM2 could easily reach a likely pathogenic classification, which would lead to actionable clinical interventions . Misapplication of PVS1 could therefore result in misclassification of variants and potentially inappropriate clinical management decisions.
PVS1 can be applied to several types of predicted loss-of-function variants, including:
Nonsense variants
Frameshift variants
Canonical ±1 or 2 splice site variants
Initiation codon variants
Single or multi-exon deletions
Each variant type requires specific considerations regarding its location, potential impact on protein function, and the disease mechanism for appropriate application of PVS1.
Researchers should consider the following criteria to determine if loss-of-function is an established disease mechanism for a specific gene:
| Evidence Type | Considerations |
|---|---|
| Molecular mechanism | Confirm haploinsufficiency, dominant-negative effects, etc. |
| Published functional studies | Evaluate published experimental evidence demonstrating LoF |
| Presence of established pathogenic LoF variants | Review existing literature and databases |
| Gene function | Consider the role of the gene in relevant biological pathways |
| Gene-disease validity | Ensure Strong or Definitive clinical validity level for gene-disease association |
The gene should have a Strong or Definitive clinical validity level for the disease association (as per ClinGen framework) before applying PVS1 . Additionally, researchers should verify that loss-of-function is indeed the established disease mechanism, rather than gain-of-function or other mechanisms.
Nonsense-mediated decay (NMD) is a surveillance pathway that selectively degrades nonsense mRNAs, observed in all eukaryotes to date . For PVS1 application, NMD is generally considered active when a premature termination codon occurs in any exon except the last exon or within the last 50 nucleotides of the penultimate exon .
The NMD prediction significantly impacts PVS1 strength assignment:
If NMD is predicted to occur, a stronger level of PVS1 may be applied
If NMD is not predicted (e.g., variant in the last exon), additional evidence about the functional impact of the truncated protein is required
Researchers should always assess NMD prediction as a first step when evaluating nonsense and frameshift variants for PVS1 application .
The ClinGen SVI Working Group has established that not all putative LoF variants have equal strengths, and the PVS1 strength level can vary depending on the available evidence for each variant type . The strength levels include:
| Strength Level | Description | Relative Odds of Pathogenicity |
|---|---|---|
| PVS1 (Very Strong) | Full strength | 350:1 |
| PVS1_Strong | Downgraded once | 18.7:1 |
| PVS1_Moderate | Downgraded twice | 4.33:1 |
| PVS1_Supporting | Downgraded three times | 2.08:1 |
Variant-specific features that may lead to downgrading include:
Variant location in a non-critical region of the protein
Variant affecting an exon that may be alternatively spliced
Uncertain impact on protein function
Exon skipping potential
Functional studies have shown that start re-initiation can be robust, occurring at alternate ATG or non-ATG sites downstream and even upstream of the original start site . Therefore, the SVI Working Group generally does not recommend assigning PVS1 or PVS1_Strong for start loss variants.
Researchers should follow these guidelines:
If alternative functional gene transcripts use an alternative start codon, do not apply PVS1 at any strength level
If no alternative start codons exist in the transcript set:
A more quantitative approach suggests:
PVS1_VeryStrong: >6 upstream pathogenic/likely pathogenic variants
PVS1_Strong: 3-6 upstream pathogenic/likely pathogenic variants
PVS1_Moderate: 1-2 upstream pathogenic/likely pathogenic variants
When evaluating canonical ±1,2 splice site variants, researchers should consider:
Predicted effect on reading frame and NMD
Inclusion of the affected exon in biologically relevant transcripts
Potential for exon skipping
Presence of in-frame alternate splice sites
If the splice variant is predicted to cause exon skipping resulting in an in-frame deletion, researchers should determine if the removed portion is critical to protein function . If the exon isn't essential or the variant might use an alternate splice site, PVS1 strength should be downgraded accordingly.
Automated tools like AutoPVS1 can facilitate consistent and accurate interpretation of predicted loss-of-function variants. These tools:
Apply specific criteria for each variant type
Consider disease mechanism implications
Evaluate NMD classification
Select biologically relevant transcripts
Assess the importance of truncated regions
Determine clinical significance of exons
Identify cryptic or newly generated splice sites
AutoPVS1 has demonstrated high accuracy and reproducibility, with particular value in the interpretation of splicing variants. Research shows that 40.7% of splicing variants were assigned a decreased PVS1 strength level, significantly higher than frameshift and nonsense variants .
Whole gene deletions default to full PVS1 strength, assuming the gene meets the criteria for a LoF disease mechanism . Although application of PVS1 alone would not reach a Pathogenic or Likely pathogenic classification using the combining rules in Richards et al. 2015, the SVI working group acknowledged that for a full gene deletion of a known haploinsufficient gene, a Pathogenic classification is warranted as long as there is no conflicting evidence that would question the technical data or haploinsufficiency mechanism .
In the Bayesian SVI formulation, a very strong criterion alone generates a posterior probability of 0.975, which falls in the likely pathogenic range . This provides statistical justification for the classification approach to whole gene deletions.
Researchers should assess the biological relevance of an exon through multiple approaches:
Functional evidence from literature
Expression patterns from databases like GTEx (https://www.gtexportal.org/home/)
Presence of previously established pathogenic variants in the exon
An exon may not be biologically relevant if it is:
Missing from alternative biologically relevant transcripts
Enriched for high-frequency LoF variants in the general population
In such cases, PVS1 at any strength level should not be applied to variants affecting these exons .
For variants near the 3' end of a gene that escape NMD, researchers should consider:
Evidence from functional studies on the importance of the C-terminal region
Presence of known pathogenic variants in the region
Critical functional domains in the affected region
If there is evidence indicating the truncated region is critical to protein function, PVS1_Strong is appropriate . Without such evidence, the length of the missing region factors into decision-making:
The SVI Working Group acknowledges that empirical data are needed to further refine these generic rules, and disease-specific groups should specify based on expert knowledge of their genes of interest .
When evaluating multi-exon deletions, researchers should consider:
Reading frame effects
NMD predictions
Biological relevance of affected exons
Critical domains impacted
The reading frame and NMD considerations that apply to splice variants and nonsense/frameshift variants are also applicable to multi-exon deletions . Researchers should follow the decision tree developed by the SVI Working Group to determine the appropriate PVS1 strength based on these factors.