NM_000548.5:c.2961C>G
Variant summary
Our verdict is Benign. Variant got -12 ACMG points: 0P and 12B. BP6_Very_StrongBS2
The NM_000548.5(TSC2):c.2961C>G(p.Val987Val) variant causes a synonymous change involving the alteration of a non-conserved nucleotide. The variant allele was found at a frequency of 0.0000105 in 1,612,528 control chromosomes in the GnomAD database, with no homozygous occurrence. In-silico tool predicts a benign outcome for this variant. Variant has been reported in ClinVar as Likely benign (★★).
Frequency
Consequence
NM_000548.5 synonymous
Scores
Clinical Significance
Conservation
Genome browser will be placed here
ACMG classification
Verdict is Benign. Variant got -12 ACMG points.
Transcripts
RefSeq
Ensembl
Frequencies
GnomAD3 genomes AF: 0.0000131 AC: 2AN: 152238Hom.: 0 Cov.: 33
GnomAD3 exomes AF: 0.0000440 AC: 11AN: 250140Hom.: 0 AF XY: 0.0000295 AC XY: 4AN XY: 135614
GnomAD4 exome AF: 0.0000103 AC: 15AN: 1460290Hom.: 0 Cov.: 31 AF XY: 0.00000826 AC XY: 6AN XY: 726460
GnomAD4 genome AF: 0.0000131 AC: 2AN: 152238Hom.: 0 Cov.: 33 AF XY: 0.00 AC XY: 0AN XY: 74368
ClinVar
Submissions by phenotype
Tuberous sclerosis 2 Benign:2
- -
- -
not specified Benign:1
The frequency of this variant in the general population (http://gnomad.broadinstitute.org) is higher than would generally be expected for pathogenic variants in this gene. Computational tools yielded predictions that this variant is unlikely to have an effect on normal RNA splicing. This nucleotide position exhibits low evolutionary conservation. -
not provided Benign:1
- -
Hereditary cancer-predisposing syndrome Benign:1
This alteration is classified as likely benign based on a combination of the following: seen in unaffected individuals, population frequency, intact protein function, lack of segregation with disease, co-occurrence, RNA analysis, in silico models, amino acid conservation, lack of disease association in case-control studies, and/or the mechanism of disease or impacted region is inconsistent with a known cause of pathogenicity. -
Computational scores
Source:
Splicing
Find out detailed SpliceAI scores and Pangolin per-transcript scores at