rs1064794226
Variant summary
Our verdict is Pathogenic. Variant got 18 ACMG points: 18P and 0B. PVS1PM2PP5_Very_Strong
The NM_000038.6(APC):c.1778G>A(p.Trp593*) variant causes a stop gained change involving the alteration of a conserved nucleotide. The variant was absent in control chromosomes in GnomAD project. In-silico tool predicts a pathogenic outcome for this variant. Variant has been reported in ClinVar as Pathogenic (★★). Variant results in nonsense mediated mRNA decay.
Frequency
Consequence
NM_000038.6 stop_gained
Scores
Clinical Significance
Conservation
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ACMG classification
Verdict is Pathogenic. Variant got 18 ACMG points.
Transcripts
RefSeq
Ensembl
Frequencies
GnomAD3 genomes Cov.: 32
GnomAD4 exome Cov.: 31
GnomAD4 genome Cov.: 32
ClinVar
Submissions by phenotype
Familial adenomatous polyposis 1 Pathogenic:2
This sequence change creates a premature translational stop signal (p.Trp593*) in the APC gene. It is expected to result in an absent or disrupted protein product. Loss-of-function variants in APC are known to be pathogenic (PMID: 17963004, 20685668). This variant is not present in population databases (gnomAD no frequency). This premature translational stop signal has been observed in individual(s) with familial adenomatous polyposis (PMID: 8990002). ClinVar contains an entry for this variant (Variation ID: 419994). For these reasons, this variant has been classified as Pathogenic. -
This variant is considered pathogenic. This variant creates a termination codon and is predicted to result in premature protein truncation. -
not provided Pathogenic:1
This variant is denoted APC c.1778G>A at the cDNA level and p.Trp593Ter (W593X) at the protein level. The substitution creates a nonsense variant, which changes a Tryptophan to a premature stop codon (TGG>TAG), and is predicted to cause loss of normal protein function through either protein truncation or nonsense-mediated mRNA decay. This variant has been reported in individuals with Familial Adenomatous Polyposis (FAP) and is considered pathogenic (van der Luijt 1997, Hes 2008, Kerr 2013). -
Computational scores
Source:
Splicing
Find out detailed SpliceAI scores and Pangolin per-transcript scores at