1-216084863-CT-C
Variant summary
Our verdict is Pathogenic. The variant received 12 ACMG points: 12P and 0B. PVS1PM2PP5_Moderate
The NM_206933.4(USH2A):c.5001delA(p.Gly1668ValfsTer12) variant causes a frameshift change involving the alteration of a non-conserved nucleotide. The variant allele was found at a frequency of 0.000000685 in 1,460,846 control chromosomes in the GnomAD database, with no homozygous occurrence. Variant has been reported in ClinVar as Pathogenic (★). Variant results in nonsense mediated mRNA decay.
Frequency
Consequence
NM_206933.4 frameshift
Scores
Clinical Significance
Conservation
Publications
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ACMG classification
Our verdict: Pathogenic. The variant received 12 ACMG points.
Transcripts
RefSeq
| Gene | Transcript | HGVSc | HGVSp | Effect | Exon rank | MANE | Protein | UniProt |
|---|---|---|---|---|---|---|---|---|
| USH2A | NM_206933.4 | c.5001delA | p.Gly1668ValfsTer12 | frameshift_variant | Exon 25 of 72 | ENST00000307340.8 | NP_996816.3 | |
| USH2A-AS2 | NR_125992.1 | n.266-1854delT | intron_variant | Intron 2 of 2 | ||||
| USH2A-AS2 | NR_125993.1 | n.137-1854delT | intron_variant | Intron 1 of 1 |
Ensembl
Frequencies
GnomAD3 genomes Cov.: 32
GnomAD4 exome AF: 6.85e-7 AC: 1AN: 1460846Hom.: 0 Cov.: 31 AF XY: 0.00000138 AC XY: 1AN XY: 726762 show subpopulations ⚠️ The allele balance in gnomAD version 4 Exomes is significantly skewed from the expected value of 0.5.
GnomAD4 genome Cov.: 32
ClinVar
Submissions by phenotype
not provided Pathogenic:1
This sequence change creates a premature translational stop signal (p.Gly1668Valfs*12) in the USH2A gene. It is expected to result in an absent or disrupted protein product. Loss-of-function variants in USH2A are known to be pathogenic (PMID: 10729113, 10909849, 20507924, 25649381). This variant is not present in population databases (gnomAD no frequency). This variant has not been reported in the literature in individuals affected with USH2A-related conditions. For these reasons, this variant has been classified as Pathogenic. -
Computational scores
Source:
Splicing
Find out detailed SpliceAI scores and Pangolin per-transcript scores at