rs1060503299
Variant summary
Our verdict is Pathogenic. Variant got 18 ACMG points: 18P and 0B. PVS1PM2PP5_Very_Strong
The NM_000038.6(APC):c.3827C>A(p.Ser1276*) 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 (★★).
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.: 33
GnomAD4 genome Cov.: 32
ClinVar
Submissions by phenotype
Familial adenomatous polyposis 1 Pathogenic:1
For these reasons, this variant has been classified as Pathogenic. Loss-of-function variants in APC are known to be pathogenic. This particular variant has been reported in the literature in individuals affected with familial adenomatous polyposis (PMID: 18433509, 9452101). This sequence change results in a premature translational stop signal in the last exon of the APC mRNA at codon 1276 (p.Ser1276*). While this is not anticipated to result in nonsense mediated decay, it is expected to create a truncated APC protein. -
Hereditary cancer-predisposing syndrome Pathogenic:1
The p.S1276* pathogenic mutation (also known as c.3827C>A), located in coding exon 15 of the APC gene, results from a C to A substitution at nucleotide position 3827. This changes the amino acid from a serine to a stop codon within coding exon 15. This alteration, designated as p.Ser1276X, has been reported in a patient with a personal history of 101-1000 colon polyps, sigmoid colon cancer, epidermoid cysts and thyroid cancer (Kanter-Smoler G et al. BMC Med, 2008 Apr;6:10). In addition to the clinical data presented in the literature, this alteration is expected to result in loss of function by premature protein truncation. As such, this alteration is interpreted as a disease-causing mutation. -
Computational scores
Source:
Splicing
Find out detailed SpliceAI scores and Pangolin per-transcript scores at