NM_000251.3:c.1277-1G>C
Variant summary
Our verdict is Pathogenic. Variant got 18 ACMG points: 18P and 0B. PVS1PM2PP5_Very_Strong
The NM_000251.3(MSH2):c.1277-1G>C variant causes a splice acceptor, intron change. The variant was absent in control chromosomes in GnomAD project. In-silico tool predicts a pathogenic outcome for this variant. 3/3 splice prediction tools predicting alterations to normal splicing. Variant has been reported in ClinVar as Likely pathogenic (★★★).
Frequency
Consequence
NM_000251.3 splice_acceptor, intron
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.: 28
GnomAD4 genome Cov.: 32
ClinVar
Submissions by phenotype
Lynch syndrome 1 Pathogenic:1
This variant is considered likely pathogenic. This variant occurs within a consensus splice junction and is predicted to result in abnormal mRNA splicing of either an out-of-frame exon or an in-frame exon necessary for protein stability and/or normal function. -
Lynch syndrome Pathogenic:1
Interrupts canonical donor splice site -
Hereditary cancer-predisposing syndrome Pathogenic:1
The c.1277-1G>C intronic variant results from a G to C substitution one nucleotide upstream from coding exon 8 of the MSH2 gene. This alteration has been reported in the germline of one German individual diagnosed with MSI-high colorectal cancer demonstrating the loss of MSH2 protein (Mangold E et al. J. Pathol., 2005 Dec;207:385-95). This nucleotide position is highly conserved in available vertebrate species. Using the BDGP and ESEfinder splice site prediction tools, this alteration is predicted to abolish the native splice acceptor site; however, direct evidence is unavailable. Alterations that disrupt the canonical splice site are expected to cause aberrant splicing, resulting in an abnormal protein or a transcript that is subject to nonsense-mediated mRNA decay. As such, this alteration is classified as likely pathogenic. -
Computational scores
Source:
Splicing
Find out detailed SpliceAI scores and Pangolin per-transcript scores at