NM_001692.4:c.340C>T
Variant summary
Our verdict is Pathogenic. Variant got 18 ACMG points: 18P and 0B. PVS1PM2PP5_Very_Strong
The NM_001692.4(ATP6V1B1):c.340C>T(p.Arg114*) variant causes a stop gained change. The variant allele was found at a frequency of 0.00000806 in 1,613,774 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 Pathogenic (★★). Variant results in nonsense mediated mRNA decay.
Frequency
Consequence
NM_001692.4 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 AF: 0.0000132 AC: 2AN: 151976Hom.: 0 Cov.: 32
GnomAD3 exomes AF: 0.0000119 AC: 3AN: 251440Hom.: 0 AF XY: 0.00000736 AC XY: 1AN XY: 135894
GnomAD4 exome AF: 0.00000752 AC: 11AN: 1461798Hom.: 0 Cov.: 35 AF XY: 0.00000413 AC XY: 3AN XY: 727202
GnomAD4 genome AF: 0.0000132 AC: 2AN: 151976Hom.: 0 Cov.: 32 AF XY: 0.0000135 AC XY: 1AN XY: 74206
ClinVar
Submissions by phenotype
Renal tubular acidosis with progressive nerve deafness Pathogenic:4
ACMG classification criteria: PVS1 very strong, PS4 supporting, PM2 moderated, PM3 supporting -
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Inborn genetic diseases Pathogenic:1
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not provided Pathogenic:1
This sequence change creates a premature translational stop signal (p.Arg114*) in the ATP6V1B1 gene. It is expected to result in an absent or disrupted protein product. Loss-of-function variants in ATP6V1B1 are known to be pathogenic (PMID: 9916796, 18368028). The frequency data for this variant in the population databases is considered unreliable, as metrics indicate poor data quality at this position in the gnomAD database. This premature translational stop signal has been observed in individual(s) with distal renal tubular acidosis with deafness (PMID: 17669226). ClinVar contains an entry for this variant (Variation ID: 521461). 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