19-11107523-C-T
Variant summary
Our verdict is Benign. The variant received -9 ACMG points: 0P and 9B. BP4BA1
This summary comes from the ClinGen Evidence Repository: The NM_000527.5(LDLR): c.940+9C>T variant is classified as Benign for Familial Hypercholesterolemia by applying ACMG/AMP evidence codes BA1 and BP4 as defined by the ClinGen Familial Hypercholesterolemia Expert Panel LDLR-specific variant curation guidelines (specification version 1.2) on 30 August 2024. The supporting evidence is as follows: BA1: FAF = 0.02650 (2.650%) in African/African American exomes+genomes (gnomAD v4.1.0). BP4: No REVEL, splicing evaluation required. Functional data on splicing not available. A) variant not on limits. B) and C) variant is not exonic.Variant is not predicted to alter splicing. LINK:https://erepo.genome.network/evrepo/ui/classification/CA030486/MONDO:0007750/013
Frequency
Consequence
NM_000527.5 intron
Scores
Clinical Significance
Conservation
Publications
- hypercholesterolemia, familial, 1Inheritance: AD, SD Classification: DEFINITIVE, STRONG Submitted by: Laboratory for Molecular Medicine, 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_000527.5. You can select a different transcript below to see updated ACMG assignments.
Ensembl Transcripts
Frequencies
GnomAD3 genomes AF: 0.00729 AC: 1109AN: 152036Hom.: 21 Cov.: 32 show subpopulations
GnomAD2 exomes AF: 0.00185 AC: 463AN: 250594 AF XY: 0.00139 show subpopulations
GnomAD4 exome AF: 0.000753 AC: 1093AN: 1452476Hom.: 18 Cov.: 32 AF XY: 0.000631 AC XY: 456AN XY: 722648 show subpopulations
Age Distribution
GnomAD4 genome AF: 0.00737 AC: 1121AN: 152154Hom.: 22 Cov.: 32 AF XY: 0.00711 AC XY: 529AN XY: 74380 show subpopulations
Age Distribution
ClinVar
Computational scores
Source:
Splicing
Find out detailed SpliceAI scores and Pangolin per-transcript scores at