rs878855133

Variant summary

Our verdict is Pathogenic. The variant received 11 ACMG points: 11P and 0B. PVS1PM2PP5

The NM_031844.3(HNRNPU):​c.2299_2302delAACA​(p.Asn767GlufsTer66) variant causes a frameshift change. The variant was absent in control chromosomes in GnomAD project. Variant has been reported in ClinVar as Conflicting classifications of pathogenicity (no stars). Variant results in nonsense mediated mRNA decay.

Frequency

Genomes: not found (cov: 32)

Consequence

HNRNPU
NM_031844.3 frameshift

Scores

Not classified

Clinical Significance

Conflicting classifications of pathogenicity criteria provided, conflicting classifications P:1U:1

Conservation

PhyloP100: 5.42

Publications

1 publications found
Variant links:
Genes affected
HNRNPU (HGNC:5048): (heterogeneous nuclear ribonucleoprotein U) This gene encodes a member of a family of proteins that bind nucleic acids and function in the formation of ribonucleoprotein complexes in the nucleus with heterogeneous nuclear RNA (hnRNA). The encoded protein has affinity for both RNA and DNA, and binds scaffold-attached region (SAR) DNA. Mutations in this gene have been associated with epileptic encephalopathy, early infantile, 54. A pseudogene of this gene has been identified on chromosome 14. [provided by RefSeq, Jun 2017]
HNRNPU Gene-Disease associations (from GenCC):
  • complex neurodevelopmental disorder
    Inheritance: AD Classification: DEFINITIVE Submitted by: ClinGen
  • developmental and epileptic encephalopathy, 54
    Inheritance: AD Classification: DEFINITIVE, STRONG, MODERATE Submitted by: Ambry Genetics, Labcorp Genetics (formerly Invitae), G2P

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ACMG classification

Classification was made for transcript

Our verdict: Pathogenic. The variant received 11 ACMG points.

PVS1
Loss of function variant, product undergoes nonsense mediated mRNA decay. LoF is a known mechanism of disease.
PM2
Very rare variant in population databases, with high coverage;
PP5
Variant 1-244855473-CTGTT-C is Pathogenic according to our data. Variant chr1-244855473-CTGTT-C is described in ClinVar as Conflicting_classifications_of_pathogenicity. ClinVar VariationId is 241620.

Variant Effect in Transcripts

ACMG analysis was done for transcript: NM_031844.3. You can select a different transcript below to see updated ACMG assignments.

RefSeq Transcripts

Sel.
GeneTranscriptTagsHGVScHGVSpEffectExon RankProteinUniProt
HNRNPU
NM_031844.3
MANE Select
c.2299_2302delAACAp.Asn767GlufsTer66
frameshift
Exon 12 of 14NP_114032.2Q00839-1
HNRNPU
NM_004501.3
c.2242_2245delAACAp.Asn748GlufsTer66
frameshift
Exon 12 of 14NP_004492.2Q00839-2

Ensembl Transcripts

Sel.
GeneTranscriptTagsHGVScHGVSpEffectExon RankProteinUniProt
HNRNPU
ENST00000640218.2
TSL:1 MANE Select
c.2299_2302delAACAp.Asn767GlufsTer66
frameshift
Exon 12 of 14ENSP00000491215.1Q00839-1
HNRNPU
ENST00000444376.7
TSL:1
c.2242_2245delAACAp.Asn748GlufsTer66
frameshift
Exon 12 of 14ENSP00000393151.2Q00839-2
HNRNPU
ENST00000639628.2
TSL:1
c.1471_1474delAACAp.Asn491GlufsTer66
frameshift
Exon 9 of 11ENSP00000491340.1A0A1W2PPH7

Frequencies

GnomAD3 genomes
Cov.:
32
We have no GnomAD4 exomes data on this position. Probably position not covered by the project.
GnomAD4 genome
Cov.:
32

ClinVar

ClinVar submissions
Significance:Conflicting classifications of pathogenicity
Revision:criteria provided, conflicting classifications
View on ClinVar
Pathogenic
VUS
Benign
Condition
1
-
-
Developmental and epileptic encephalopathy, 54 (1)
-
1
-
Inborn genetic diseases (1)

Computational scores

Source: dbNSFP v4.9

Name
Calibrated prediction
Score
Prediction
PhyloP100
5.4
Mutation Taster
=2/198
disease causing (ClinVar)

Splicing

Name
Calibrated prediction
Score
Prediction
SpliceAI score (max)
0.0
Details are displayed if max score is > 0.2

Find out detailed SpliceAI scores and Pangolin per-transcript scores at spliceailookup.broadinstitute.org

Publications

Other links and lift over

dbSNP: rs878855133; hg19: chr1-245018775; API
For research and educational, non-commercial use only. Not for clinical or diagnostic use. GeneBe does not provide medical advice. Data use for AI modeling is prohibited: if used, the cost is $0.001 per byte of downloaded uncompressed data.