rs571626569
Variant summary
Our verdict is Benign. The variant received -9 ACMG points: 0P and 9B. BP4_StrongBP6BS2
The NM_000384.3(APOB):c.7619G>T(p.Gly2540Val) variant causes a missense change. The variant allele was found at a frequency of 0.000498 in 1,614,072 control chromosomes in the GnomAD database, including 12 homozygotes. In-silico tool predicts a benign outcome for this variant. Variant has been reported in ClinVar as Conflicting classifications of pathogenicity (no stars). Another variant affecting the same amino acid position, but resulting in a different missense (i.e. G2540D) has been classified as Benign.
Frequency
Consequence
NM_000384.3 missense
Scores
Clinical Significance
Conservation
Publications
- hypercholesterolemia, autosomal dominant, type BInheritance: AD Classification: DEFINITIVE, STRONG Submitted by: G2P, ClinGen, Ambry Genetics, Labcorp Genetics (formerly Invitae), Genomics England PanelApp
- familial hypobetalipoproteinemia 1Inheritance: AR, SD, AD Classification: DEFINITIVE, STRONG Submitted by: Labcorp Genetics (formerly Invitae), Genomics England PanelApp, ClinGen
- homozygous familial hypercholesterolemiaInheritance: AR Classification: SUPPORTIVE Submitted by: Orphanet
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ACMG classification
Our verdict: Benign. The variant received -9 ACMG points.
Variant Effect in Transcripts
ACMG analysis was done for transcript: NM_000384.3. You can select a different transcript below to see updated ACMG assignments.
Frequencies
GnomAD3 genomes AF: 0.000283 AC: 43AN: 152194Hom.: 2 Cov.: 32 show subpopulations
GnomAD2 exomes AF: 0.00106 AC: 267AN: 251134 AF XY: 0.00142 show subpopulations
GnomAD4 exome AF: 0.000521 AC: 761AN: 1461760Hom.: 10 Cov.: 46 AF XY: 0.000762 AC XY: 554AN XY: 727176 show subpopulations
Age Distribution
GnomAD4 genome AF: 0.000282 AC: 43AN: 152312Hom.: 2 Cov.: 32 AF XY: 0.000416 AC XY: 31AN XY: 74470 show subpopulations
Age Distribution
ClinVar
Computational scores
Source:
Splicing
Find out detailed SpliceAI scores and Pangolin per-transcript scores at
MaxEntScan Visualizer can be used to analyze the impact of this mutation on the neighboring sequence.