rs374834265
Variant summary
Our verdict is Benign. Variant got -19 ACMG points: 0P and 19B. BP4_ModerateBP6_Very_StrongBP7BS1BS2
The NM_024529.5(CDC73):c.333C>T(p.Ser111Ser) variant causes a synonymous change involving the alteration of a non-conserved nucleotide. The variant allele was found at a frequency of 0.0000868 in 1,613,536 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_024529.5 synonymous
Scores
Clinical Significance
Conservation
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ACMG classification
Verdict is Benign. Variant got -19 ACMG points.
Transcripts
RefSeq
Ensembl
Frequencies
GnomAD3 genomes AF: 0.0000723 AC: 11AN: 152062Hom.: 0 Cov.: 32
GnomAD3 exomes AF: 0.0000597 AC: 15AN: 251408Hom.: 0 AF XY: 0.0000368 AC XY: 5AN XY: 135872
GnomAD4 exome AF: 0.0000883 AC: 129AN: 1461356Hom.: 0 Cov.: 30 AF XY: 0.0000743 AC XY: 54AN XY: 727014
GnomAD4 genome AF: 0.0000723 AC: 11AN: 152180Hom.: 0 Cov.: 32 AF XY: 0.0000672 AC XY: 5AN XY: 74372
ClinVar
Submissions by phenotype
CDC73-related disorder Benign:1
This variant is classified as likely benign based on ACMG/AMP sequence variant interpretation guidelines (Richards et al. 2015 PMID: 25741868, with internal and published modifications). -
Parathyroid carcinoma;C1704981:Hyperparathyroidism 2 with jaw tumors;C1840402:Hyperparathyroidism 1 Benign:1
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Parathyroid carcinoma Benign:1
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not provided Benign:1
CDC73: BP4, BP7 -
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