19-11116858-G-C
Variant summary
Our verdict is Pathogenic. Variant got 18 ACMG points: 18P and 0B. PVS1PM2PP5_Very_Strong
The NM_000527.5(LDLR):c.1706-1G>C variant causes a splice acceptor, intron change involving the alteration of a conserved nucleotide. The variant was absent in control chromosomes in GnomAD project. In-silico tool predicts a pathogenic outcome for this variant. 3/3 splice prediction tools predicting alterations to normal splicing. Variant has been reported in ClinVar as Pathogenic (★★).
Frequency
Consequence
NM_000527.5 splice_acceptor, intron
Scores
Clinical Significance
Conservation
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ACMG classification
Verdict is Pathogenic. Variant got 18 ACMG points.
Transcripts
RefSeq
Gene | Transcript | HGVSc | HGVSp | Effect | Exon rank | MANE | Protein | UniProt |
---|---|---|---|---|---|---|---|---|
LDLR | NM_000527.5 | c.1706-1G>C | splice_acceptor_variant, intron_variant | Intron 11 of 17 | ENST00000558518.6 | NP_000518.1 |
Ensembl
Frequencies
GnomAD3 genomes Cov.: 33
GnomAD4 exome Cov.: 34
GnomAD4 genome Cov.: 33
ClinVar
Submissions by phenotype
Hypercholesterolemia, familial, 1 Pathogenic:1
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not provided Pathogenic:1
The c.1706-1 G>C pathogenic variant in the LDLR gene has been reported in one child with elevated serum total cholesterol who was part of a national universal screening program for hypercholesterolemia (Klancar et al., 2015). This variant destroys the canonical splice acceptor site in intron 11 and is predicted to cause abnormal gene splicing. This variant is predicted to lead to either an abnormal message that is subject to nonsense-mediated mRNA decay, or to an abnormal protein product if the message is used for protein translation. Other splice site variants in the LDLR gene, including variants in the same nucleotide (c.1706-1 G>T, c.1706-1 G>A), have been reported in HGMD in association with FH (Stenson et al., 2014). Furthermore, the c.1706-1 G>C variant is not observed in large population cohorts (Lek et al., 2016; 1000 Genomes Consortium et al., 2015; Exome Variant Server). -
Computational scores
Source:
Splicing
Find out detailed SpliceAI scores and Pangolin per-transcript scores at