rs132630291
Variant summary
Our verdict is Pathogenic. The variant received 13 ACMG points: 13P and 0B. PM1PM2PM5PP2PP3_StrongPP5_Moderate
The NM_000533.5(PLP1):c.710T>C(p.Phe237Ser) variant causes a missense change. The variant was absent in control chromosomes in GnomAD project. In-silico tool predicts a pathogenic outcome for this variant. Variant has been reported in ClinVar as Likely pathogenic (★). Another variant affecting the same amino acid position, but resulting in a different missense (i.e. F237V) has been classified as Likely pathogenic.
Frequency
Consequence
NM_000533.5 missense
Scores
Clinical Significance
Conservation
Publications
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ACMG classification
Our verdict: Pathogenic. The variant received 13 ACMG points.
Variant Effect in Transcripts
ACMG analysis was done for transcript: NM_000533.5. You can select a different transcript below to see updated ACMG assignments.
RefSeq Transcripts
| Sel. | Gene | Transcript | Tags | HGVSc | HGVSp | Effect | Exon Rank | Protein | UniProt |
|---|---|---|---|---|---|---|---|---|---|
| PLP1 | NM_000533.5 | MANE Select | c.710T>C | p.Phe237Ser | missense | Exon 6 of 7 | NP_000524.3 | ||
| PLP1 | NM_001128834.3 | c.710T>C | p.Phe237Ser | missense | Exon 7 of 8 | NP_001122306.1 | |||
| PLP1 | NM_199478.3 | c.605T>C | p.Phe202Ser | missense | Exon 6 of 7 | NP_955772.1 |
Ensembl Transcripts
| Sel. | Gene | Transcript | Tags | HGVSc | HGVSp | Effect | Exon Rank | Protein | UniProt |
|---|---|---|---|---|---|---|---|---|---|
| PLP1 | ENST00000621218.5 | TSL:1 MANE Select | c.710T>C | p.Phe237Ser | missense | Exon 6 of 7 | ENSP00000484450.1 | ||
| PLP1 | ENST00000619236.1 | TSL:1 | c.605T>C | p.Phe202Ser | missense | Exon 6 of 7 | ENSP00000477619.1 | ||
| PLP1 | ENST00000867712.1 | c.752T>C | p.Phe251Ser | missense | Exon 7 of 8 | ENSP00000537771.1 |
Frequencies
GnomAD3 genomes Cov.: 23
GnomAD4 exome Data not reliable, filtered out with message: AC0 AF: 0.00 AC: 0AN: 1093933Hom.: 0 Cov.: 27 AF XY: 0.00 AC XY: 0AN XY: 359491
GnomAD4 genome Cov.: 23
ClinVar
Computational scores
Source:
Splicing
Find out detailed SpliceAI scores and Pangolin per-transcript scores at