NM_002180.3:c.1581C>T
Variant summary
Our verdict is Benign. Variant got -21 ACMG points: 0P and 21B. BP4_StrongBP6_Very_StrongBP7BS1BS2
The NM_002180.3(IGHMBP2):c.1581C>T(p.Asp527Asp) variant causes a synonymous change involving the alteration of a non-conserved nucleotide. The variant allele was found at a frequency of 0.000185 in 1,612,826 control chromosomes in the GnomAD database, including 5 homozygotes. In-silico tool predicts a benign outcome for this variant. Variant has been reported in ClinVar as Likely benign (★★).
Frequency
Consequence
NM_002180.3 synonymous
Scores
Clinical Significance
Conservation
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ACMG classification
Verdict is Benign. Variant got -21 ACMG points.
Transcripts
RefSeq
Ensembl
Frequencies
GnomAD3 genomes AF: 0.000368 AC: 56AN: 152222Hom.: 0 Cov.: 33
GnomAD3 exomes AF: 0.000351 AC: 87AN: 247648Hom.: 0 AF XY: 0.000440 AC XY: 59AN XY: 134072
GnomAD4 exome AF: 0.000166 AC: 243AN: 1460488Hom.: 5 Cov.: 31 AF XY: 0.000224 AC XY: 163AN XY: 726356
GnomAD4 genome AF: 0.000368 AC: 56AN: 152338Hom.: 0 Cov.: 33 AF XY: 0.000403 AC XY: 30AN XY: 74500
ClinVar
Submissions by phenotype
not specified Benign:2
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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Autosomal recessive distal spinal muscular atrophy 1;C4015349:Charcot-Marie-Tooth disease axonal type 2S Benign:1
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Inborn genetic diseases 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