19-11120488-G-C
Variant summary
Our verdict is Uncertain significance. Variant got 2 ACMG points: 2P and 0B. PM2
This summary comes from the ClinGen Evidence Repository: The NM_000527.5(LDLR):c.2106G>C (p.Met702Ile) variant is classified as Uncertain significance - insufficient evidence, for Familial Hypercholesterolemia by applying ACMG/AMP evidence code PM2 as defined the ClinGen Familial Hypercholesterolemia Expert Panel LDLR-specific variant curation guidelines (specification version 1.2) on August 30, 2024. The supporting evidence is as follows: PM2: PopMax MAF = 0.00003294 (0.0033%) in South Asian exomes (gnomAD v4.1.0). It is below 0.02%, so PM2 is met. LINK:https://erepo.genome.network/evrepo/ui/classification/CA038621/MONDO:0007750/013
Frequency
Consequence
NM_000527.5 missense
Scores
Clinical Significance
Conservation
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ACMG classification
Verdict is Uncertain_significance. Variant got 2 ACMG points.
Transcripts
RefSeq
Gene | Transcript | HGVSc | HGVSp | Effect | Exon rank | MANE | Protein | UniProt |
---|---|---|---|---|---|---|---|---|
LDLR | NM_000527.5 | c.2106G>C | p.Met702Ile | missense_variant | Exon 14 of 18 | ENST00000558518.6 | NP_000518.1 |
Ensembl
Frequencies
GnomAD3 genomes Cov.: 32
GnomAD3 exomes AF: 0.00000398 AC: 1AN: 250972Hom.: 0 AF XY: 0.00000737 AC XY: 1AN XY: 135712
GnomAD4 exome AF: 0.00000205 AC: 3AN: 1461472Hom.: 0 Cov.: 35 AF XY: 0.00000275 AC XY: 2AN XY: 727046
GnomAD4 genome Cov.: 32
ClinVar
Submissions by phenotype
Hypercholesterolemia, familial, 1 Uncertain:1
The NM_000527.5(LDLR):c.2106G>C (p.Met702Ile) variant is classified as Uncertain significance - insufficient evidence, for Familial Hypercholesterolemia by applying ACMG/AMP evidence code PM2 as defined the ClinGen Familial Hypercholesterolemia Expert Panel LDLR-specific variant curation guidelines (specification version 1.2) on August 30, 2024. The supporting evidence is as follows: PM2: PopMax MAF = 0.00003294 (0.0033%) in South Asian exomes (gnomAD v4.1.0). It is below 0.02%, so PM2 is met. -
Familial hypercholesterolemia Benign:1
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Computational scores
Source:
Splicing
Find out detailed SpliceAI scores and Pangolin per-transcript scores at