chr12-12717994-T-G
Variant summary
Our verdict is Benign. Variant got -13 ACMG points: 0P and 13B. BP4_StrongBP6BS1BS2
The NM_004064.5(CDKN1B):āc.155T>Gā(p.Met52Arg) variant causes a missense change. The variant allele was found at a frequency of 0.000057 in 1,614,076 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 Conflicting classifications of pathogenicity (no stars).
Frequency
Consequence
NM_004064.5 missense
Scores
Clinical Significance
Conservation
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ACMG classification
Verdict is Benign. Variant got -13 ACMG points.
Transcripts
RefSeq
Ensembl
Frequencies
GnomAD3 genomes AF: 0.000335 AC: 51AN: 152074Hom.: 0 Cov.: 33
GnomAD3 exomes AF: 0.000131 AC: 33AN: 251466Hom.: 0 AF XY: 0.000103 AC XY: 14AN XY: 135922
GnomAD4 exome AF: 0.0000280 AC: 41AN: 1461884Hom.: 0 Cov.: 50 AF XY: 0.0000303 AC XY: 22AN XY: 727246
GnomAD4 genome AF: 0.000335 AC: 51AN: 152192Hom.: 0 Cov.: 33 AF XY: 0.000309 AC XY: 23AN XY: 74412
ClinVar
Submissions by phenotype
Hereditary cancer-predisposing syndrome Benign:2
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This alteration is classified as 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. -
not provided Uncertain:1
In silico analysis supports that this missense variant has a deleterious effect on protein structure/function; Has not been previously published as pathogenic or benign to our knowledge -
Multiple endocrine neoplasia type 4 Benign:1
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CDKN1B-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). -
Computational scores
Source:
Splicing
Find out detailed SpliceAI scores and Pangolin per-transcript scores at