rs267607222
Variant summary
Our verdict is Likely pathogenic. Variant got 7 ACMG points: 7P and 0B. PM2PP2PP3_ModeratePP5_Moderate
The NM_002334.4(LRP4):c.409G>A(p.Asp137Asn) variant causes a missense change involving the alteration of a conserved nucleotide. The variant allele was found at a frequency of 0.00000137 in 1,461,610 control chromosomes in the GnomAD database, with no homozygous occurrence. In-silico tool predicts a pathogenic outcome for this variant. 12/21 in silico tools predict a damaging outcome for this variant. Variant has been reported in ClinVar as Likely pathogenic (★).
Frequency
Consequence
NM_002334.4 missense
Scores
Clinical Significance
Conservation
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ACMG classification
Verdict is Likely_pathogenic. Variant got 7 ACMG points.
Transcripts
RefSeq
Gene | Transcript | HGVSc | HGVSp | Effect | #exon/exons | MANE | Protein | UniProt |
---|---|---|---|---|---|---|---|---|
LRP4 | NM_002334.4 | c.409G>A | p.Asp137Asn | missense_variant | 4/38 | ENST00000378623.6 | NP_002325.2 | |
LRP4 | XM_017017734.2 | c.409G>A | p.Asp137Asn | missense_variant | 4/39 | XP_016873223.1 |
Ensembl
Gene | Transcript | HGVSc | HGVSp | Effect | #exon/exons | TSL | MANE | Protein | Appris | UniProt |
---|---|---|---|---|---|---|---|---|---|---|
LRP4 | ENST00000378623.6 | c.409G>A | p.Asp137Asn | missense_variant | 4/38 | 1 | NM_002334.4 | ENSP00000367888 | P1 | |
LRP4 | ENST00000534404.1 | c.262G>A | p.Asp88Asn | missense_variant | 3/4 | 5 | ENSP00000434763 |
Frequencies
GnomAD3 genomes Cov.: 32
GnomAD4 exome AF: 0.00000137 AC: 2AN: 1461610Hom.: 0 Cov.: 32 AF XY: 0.00 AC XY: 0AN XY: 727132
GnomAD4 genome Cov.: 32
ClinVar
Submissions by phenotype
Cenani-Lenz syndactyly syndrome Pathogenic:1
Pathogenic, no assertion criteria provided | literature only | OMIM | May 14, 2010 | - - |
Cenani-Lenz syndactyly syndrome;C3280402:Sclerosteosis 2;C4225377:Congenital myasthenic syndrome 17 Pathogenic:1
Likely pathogenic, criteria provided, single submitter | clinical testing | Fulgent Genetics, Fulgent Genetics | Feb 27, 2022 | - - |
Computational scores
Source:
Splicing
Find out detailed SpliceAI scores and Pangolin per-transcript scores at