11-123083190-G-A
Variant summary
Our verdict is Pathogenic. Variant got 12 ACMG points: 12P and 0B. PVS1PM2PP5_Moderate
The NM_024769.5(CLMP):c.574C>T(p.Arg192*) variant causes a stop gained change involving the alteration of a non-conserved nucleotide. The variant allele was found at a frequency of 0.00000205 in 1,461,738 control chromosomes in the GnomAD database, with no homozygous occurrence. In-silico tool predicts a pathogenic outcome for this variant. Variant has been reported in ClinVar as Likely pathogenic (★). Variant results in nonsense mediated mRNA decay.
Frequency
Consequence
NM_024769.5 stop_gained
Scores
Clinical Significance
Conservation
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ACMG classification
Verdict is Pathogenic. Variant got 12 ACMG points.
Transcripts
RefSeq
Ensembl
Frequencies
GnomAD3 genomes Cov.: 32
GnomAD3 exomes AF: 0.00000398 AC: 1AN: 251200Hom.: 0 AF XY: 0.00000737 AC XY: 1AN XY: 135728
GnomAD4 exome AF: 0.00000205 AC: 3AN: 1461738Hom.: 0 Cov.: 30 AF XY: 0.00000413 AC XY: 3AN XY: 727170
GnomAD4 genome Cov.: 32
ClinVar
Submissions by phenotype
Congenital short bowel syndrome, autosomal recessive Pathogenic:1
A Heterozygous Nonsense variant c.574C>T in Exon 5 of the CLMP gene that results in the amino acid substitution p.Arg192* was identified. The observed variant has a minor allele frequency of 0.00000/--% in gnomAD exomes and genomes, respectively. The severity of the impact of this variant on the protein is high, based on the effect of the protein and REVEL score . Rare Exome Variant Ensemble Learner (REVEL) is an ensembl method for predicting the pathogenicity of missense variants based on a combination of scores from 13 individual tools: MutPred, FATHMM v2.3, VEST 3.0, PolyPhen-2, SIFT, PROVEAN, MutationAssessor, MutationTaster, LRT, GERP++, SiPhy, phyloP, and phastCons. The REVEL score for an individual missense variant can range from 0 to 1, with higher scores reflecting greater likelihood that the variant is disease-causing. Based on the above evidence this variant has been classified as Likely Pathogenic according to the ACMG guidelines. -
Computational scores
Source:
Splicing
Find out detailed SpliceAI scores and Pangolin per-transcript scores at