rs1553901266
Variant summary
Our verdict is Likely benign. The variant received -5 ACMG points: 0P and 5B. BP6BS2
The NM_031372.4(HNRNPDL):c.124_125delCTinsTC(p.Leu42Ser) variant causes a missense change. The variant was absent in control chromosomes in GnomAD project. The variant is present in control chromosomes in GnomAd MNV project. The variant allele was found at a frequency of 0.004 in 253 alleles, including 0 homozygotes. It is difficult to determine the true allele frequency of this variant because it is of type MNV, and the frequency of such variant types in population databases may be underestimated and unreliable. 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. L42F) has been classified as Likely benign.
Frequency
Consequence
NM_031372.4 missense
Scores
Clinical Significance
Conservation
Publications
- autosomal dominant limb-girdle muscular dystrophy type 1GInheritance: AD Classification: STRONG, MODERATE, SUPPORTIVE Submitted by: Orphanet, Labcorp Genetics (formerly Invitae), Ambry Genetics
- muscular dystrophy, limb-girdle, autosomal dominantInheritance: AD Classification: MODERATE Submitted by: ClinGen
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ACMG classification
Our verdict: Likely_benign. The variant received -5 ACMG points.
Transcripts
RefSeq
| Gene | Transcript | HGVSc | HGVSp | Effect | Exon rank | MANE | Protein | UniProt | 
|---|---|---|---|---|---|---|---|---|
| HNRNPDL | NM_031372.4 | c.124_125delCTinsTC | p.Leu42Ser | missense_variant | ENST00000295470.10 | NP_112740.1 | ||
| HNRNPDL | NM_001207000.1 | c.124_125delCTinsTC | p.Leu42Ser | missense_variant | NP_001193929.1 | |||
| HNRNPDL | NR_003249.2 | n.659_660delCTinsTC | non_coding_transcript_exon_variant | Exon 1 of 9 | 
Ensembl
Frequencies
GnomAD3 genomes  
GnomAD4 genome  
ClinVar
Submissions by phenotype
not provided    Uncertain:1 
PM2 -
Autosomal dominant limb-girdle muscular dystrophy type 1G    Benign:1 
- -
Computational scores
Source: 
Splicing
 Find out detailed SpliceAI scores and Pangolin per-transcript scores at