rs147120218
Variant summary
Our verdict is Benign. Variant got -17 ACMG points: 0P and 17B. BP4_StrongBP6_Very_StrongBP7BS1
The NM_024675.4(PALB2):c.2256A>G(p.Gly752Gly) variant causes a synonymous change involving the alteration of a non-conserved nucleotide. The variant allele was found at a frequency of 0.000317 in 1,614,196 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_024675.4 synonymous
Scores
Clinical Significance
Conservation
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ACMG classification
Verdict is Benign. Variant got -17 ACMG points.
Transcripts
RefSeq
Ensembl
Frequencies
GnomAD3 genomes AF: 0.00181 AC: 276AN: 152188Hom.: 0 Cov.: 32
GnomAD3 exomes AF: 0.000394 AC: 99AN: 251488Hom.: 0 AF XY: 0.000331 AC XY: 45AN XY: 135918
GnomAD4 exome AF: 0.000161 AC: 236AN: 1461890Hom.: 0 Cov.: 32 AF XY: 0.000158 AC XY: 115AN XY: 727246
GnomAD4 genome AF: 0.00181 AC: 275AN: 152306Hom.: 0 Cov.: 32 AF XY: 0.00169 AC XY: 126AN XY: 74492
ClinVar
Submissions by phenotype
not specified Benign:5
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This variant is considered likely benign or benign based on one or more of the following criteria: it is a conservative change, it occurs at a poorly conserved position in the protein, it is predicted to be benign by multiple in silico algorithms, and/or has population frequency not consistent with disease. -
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Hereditary cancer-predisposing syndrome Benign:4
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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. -
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not provided Benign:3
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Familial cancer of breast Benign:2
Curators: Marc Tischkowitz, Arleen D. Auerbach. Submitter to LOVD: Marc Tischkowitz. -
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Computational scores
Source:
Splicing
Find out detailed SpliceAI scores and Pangolin per-transcript scores at