rs137852218
Variant summary
Our verdict is Pathogenic. Variant got 18 ACMG points: 18P and 0B. PVS1PM2PP5_Very_Strong
The NM_203475.3(PORCN):c.370C>T(p.Arg124*) variant causes a stop gained change involving the alteration of a non-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_203475.3 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.: 21
GnomAD4 exome Cov.: 31
GnomAD4 genome Cov.: 21
ClinVar
Submissions by phenotype
not provided Pathogenic:2
The R124X nonsense variant in the PORCN gene has been reported previously in association with Goltz syndrome including as a de novo occurrence (Grzeschik et al., 2007; Bornholdt et al., 2009; Lombardi et al., 2011; Wang et al., 2007). The variant is not observed in large population cohorts (Lek et al., 2016). This pathogenic variant is predicted to cause loss of normal protein function either through protein truncation or nonsense-mediated mRNA decay. Functional studies of the R124X variant have shown that it impairs normal WNT3A secretions and may subsequently impact Wnt signaling (Liu et al., 2012). -
For these reasons, this variant has been classified as Pathogenic. ClinVar contains an entry for this variant (Variation ID: 10702). This premature translational stop signal has been observed in individual(s) with focal dermal hypoplasia (PMID: 17546030). This variant is not present in population databases (gnomAD no frequency). This sequence change creates a premature translational stop signal (p.Arg124*) in the PORCN gene. It is expected to result in an absent or disrupted protein product. Loss-of-function variants in PORCN are known to be pathogenic (PMID: 17546030, 19309688). -
Focal dermal hypoplasia Pathogenic:2
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Computational scores
Source:
Splicing
Find out detailed SpliceAI scores and Pangolin per-transcript scores at