rs587784331
Variant summary
Our verdict is Likely pathogenic. Variant got 7 ACMG points: 7P and 0B. PM1PM2PP3_ModeratePP5
The NM_003560.4(PLA2G6):c.1489C>T(p.Leu497Phe) variant causes a missense change. The variant allele was found at a frequency of 0.00000214 in 1,401,732 control chromosomes in the GnomAD database, with no homozygous occurrence. In-silico tool predicts a pathogenic outcome for this variant. Variant has been reported in ClinVar as Conflicting classifications of pathogenicity (no stars).
Frequency
Consequence
NM_003560.4 missense
Scores
Clinical Significance
Conservation
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ACMG classification
Verdict is Likely_pathogenic. Variant got 7 ACMG points.
Transcripts
RefSeq
Ensembl
Frequencies
GnomAD3 genomes Cov.: 32
GnomAD3 exomes AF: 0.00000621 AC: 1AN: 160936Hom.: 0 AF XY: 0.0000118 AC XY: 1AN XY: 84764
GnomAD4 exome AF: 0.00000214 AC: 3AN: 1401732Hom.: 0 Cov.: 32 AF XY: 0.00000289 AC XY: 2AN XY: 691594
GnomAD4 genome Cov.: 32
ClinVar
Submissions by phenotype
Iron accumulation in brain Pathogenic:1
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PLA2G6-associated neurodegeneration Uncertain:1
The p.Leu497Phe variant in PLA2G6 has not been previously reported in the literature in individuals with PLA2G6-associated neurodegeneration, but has been identified in 0.002% (1/63308) of European (non-Finnish) chromosomes by the Genome Aggregation Database (gnomAD, http://gnomad.broadinstitute.org; dbSNP ID: rs587784331). Although this variant has been seen in the general population in a heterozygous state, its frequency is low enough to be consistent with a recessive carrier frequency. This variant has also been reported in ClinVar (Variation ID#: 159732) and has been interpreted as likely pathogenic by Genetic Services Laboratory (University of Chicago). Computational prediction tools and conservation analyses suggest that this variant may impact the protein, though this information is not predictive enough to determine pathogenicity. In summary, the clinical significance of the p.Leu497Phe variant is uncertain. ACMG/AMP Criteria applied: PP3, PM2_supporting (Richards 2015). -
Computational scores
Source:
Splicing
Find out detailed SpliceAI scores and Pangolin per-transcript scores at