chr3-148741144-A-AT
Variant summary
Our verdict is Likely pathogenic. Variant got 8 ACMG points: 8P and 0B. PVS1_StrongPM2PP5_Moderate
The NM_000685.5(AGTR1):c.110dupT(p.Ile38HisfsTer37) variant causes a frameshift change involving the alteration of a non-conserved nucleotide. The variant allele was found at a frequency of 0.00000186 in 1,614,052 control chromosomes in the GnomAD database, with no homozygous occurrence. Variant has been reported in ClinVar as Likely pathogenic (★).
Frequency
Consequence
NM_000685.5 frameshift
Scores
Clinical Significance
Conservation
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ACMG classification
Verdict is Likely_pathogenic. Variant got 8 ACMG points.
Transcripts
RefSeq
Ensembl
Frequencies
GnomAD3 genomes AF: 0.00000657 AC: 1AN: 152208Hom.: 0 Cov.: 33
GnomAD3 exomes AF: 0.00000398 AC: 1AN: 251360Hom.: 0 AF XY: 0.00 AC XY: 0AN XY: 135848
GnomAD4 exome AF: 0.00000137 AC: 2AN: 1461844Hom.: 0 Cov.: 31 AF XY: 0.00000138 AC XY: 1AN XY: 727228
GnomAD4 genome AF: 0.00000657 AC: 1AN: 152208Hom.: 0 Cov.: 33 AF XY: 0.00 AC XY: 0AN XY: 74350
ClinVar
Submissions by phenotype
Renal tubular dysgenesis Pathogenic:2
The p.Ile73HisfsX37 variant in AGTR1 has been identified in one individual with Renal tubular dysgenesis who has a second AGTR1 variant and in an individual with Brugada syndrome (Gribouval 2005 PMID: 16116425, Resta 2015 PMID: 26220970). This variant has also been identified in 0.001% (1/113662) of European chromosomes by gnomAD (http://gnomad.broadinstitute.org). This variant is predicted to cause a frameshift, which alters the protein's amino acid sequence beginning at position 73 and leads to a premature termination codon 37 amino acids downstream. This alteration is then predicted to lead to a truncated or absent protein. In summary, although additional studies are required to fully establish its clinical significance, this variant meets criteria to be classified as likely pathogenic for autosomal recessive renal tubular dysgenesis. ACMG/AMP Criteria applied: PM3; PVS1_M; PM2. -
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Computational scores
Source:
Splicing
Find out detailed SpliceAI scores and Pangolin per-transcript scores at