rs139821724
Variant summary
Our verdict is Benign. Variant got -13 ACMG points: 0P and 13B. BP4_StrongBP6_Very_StrongBP7
The NM_020975.6(RET):c.96G>A(p.Ser32Ser) variant causes a synonymous change involving the alteration of a non-conserved nucleotide. The variant allele was found at a frequency of 0.0000279 in 1,612,792 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_020975.6 synonymous
Scores
Clinical Significance
Conservation
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ACMG classification
Verdict is Benign. Variant got -13 ACMG points.
Transcripts
RefSeq
Gene | Transcript | HGVSc | HGVSp | Effect | Exon rank | MANE | Protein | UniProt |
---|---|---|---|---|---|---|---|---|
RET | NM_020975.6 | c.96G>A | p.Ser32Ser | synonymous_variant | Exon 2 of 20 | ENST00000355710.8 | NP_066124.1 |
Ensembl
Frequencies
GnomAD3 genomes AF: 0.0000331 AC: 5AN: 151252Hom.: 0 Cov.: 31
GnomAD3 exomes AF: 0.0000282 AC: 7AN: 248528Hom.: 0 AF XY: 0.0000297 AC XY: 4AN XY: 134616
GnomAD4 exome AF: 0.0000274 AC: 40AN: 1461540Hom.: 0 Cov.: 37 AF XY: 0.0000358 AC XY: 26AN XY: 727036
GnomAD4 genome AF: 0.0000331 AC: 5AN: 151252Hom.: 0 Cov.: 31 AF XY: 0.0000271 AC XY: 2AN XY: 73702
ClinVar
Submissions by phenotype
Multiple endocrine neoplasia type 2A;C0025269:Multiple endocrine neoplasia type 2B;C0031511:Pheochromocytoma;C1833921:Familial medullary thyroid carcinoma;C3888239:Hirschsprung disease, susceptibility to, 1 Benign:1
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Multiple endocrine neoplasia, type 2 Benign:1
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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