NM_000422.3:c.290_292delCCT
Variant summary
Our verdict is Pathogenic. Variant got 13 ACMG points: 13P and 0B. PM1PM2PM4_SupportingPP5_Very_Strong
The NM_000422.3(KRT17):c.290_292delCCT(p.Ser97del) variant causes a disruptive inframe deletion change involving the alteration of a conserved nucleotide. The variant was absent in control chromosomes in GnomAD project. Variant has been reported in ClinVar as Likely pathogenic (★★).
Frequency
Consequence
NM_000422.3 disruptive_inframe_deletion
Scores
Clinical Significance
Conservation
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ACMG classification
Verdict is Pathogenic. Variant got 13 ACMG points.
Transcripts
RefSeq
Ensembl
Frequencies
GnomAD3 genomes Cov.: 33
GnomAD4 genome Cov.: 33
ClinVar
Submissions by phenotype
not provided Pathogenic:1Other:1
The c.290_292delCCT variant in the KRT17 gene has been reported previously in a patient with pachyonychia congenita (Terrinoni et al., 2001). Additionally, the c.287_298del12 variant in the KRT17 gene, which encompasses the c._290_292delCCT region, has been reported in a patient with pachyonychia congenita (Wilson et al., 2011). The c.290_292delCCT variant was not observed in approximately 6,500 individuals of European and African American ancestry in the NHLBI Exome Sequencing Project. The c.290_292delCCT variant causes an in-frame deletion of one amino acid, denoted p.S97del. This deletion occurs within a known mutational hotspot region (helix initiation motif) that is highly conserved across all species and among all members of the keratin family. It is well established that keratin gene mutations affecting the residues at the ends of the central rod domains of the keratin proteins (helix initiation and termination motifs) interfere with proper keratin intermediate filament assembly and function, resulting in hyperkeratosis (Chamcheu et al., 2011). Therefore, we consider c.290_292delCCT to be pathogenic. -
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Pachyonychia congenita 2 Pathogenic:1
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Steatocystoma multiplex;C1721007:Pachyonychia congenita 2 Pathogenic:1
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Computational scores
Source:
Splicing
Find out detailed SpliceAI scores and Pangolin per-transcript scores at