rs754532558
Variant summary
Our verdict is Uncertain significance. The variant received 3 ACMG points: 3P and 0B. PVS1_SupportingPM2
The NM_001278716.2(FBXL4):c.3G>A(p.Met1?) variant causes a start lost change. The variant allele was found at a frequency of 0.00000124 in 1,611,504 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 Uncertain significance (★).
Frequency
Consequence
NM_001278716.2 start_lost
Scores
Clinical Significance
Conservation
Publications
- Leigh syndromeInheritance: AR Classification: DEFINITIVE Submitted by: ClinGen
- mitochondrial DNA depletion syndrome 13Inheritance: AR Classification: DEFINITIVE, STRONG, SUPPORTIVE Submitted by: G2P, Labcorp Genetics (formerly Invitae), Genomics England PanelApp, Orphanet
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ACMG classification
Our verdict: Uncertain_significance. The variant received 3 ACMG points.
Transcripts
RefSeq
Ensembl
Frequencies
GnomAD3 genomes AF: 0.00000657 AC: 1AN: 152134Hom.: 0 Cov.: 33 show subpopulations
GnomAD2 exomes AF: 0.00000400 AC: 1AN: 250114 AF XY: 0.00000739 show subpopulations
GnomAD4 exome AF: 6.85e-7 AC: 1AN: 1459252Hom.: 0 Cov.: 32 AF XY: 0.00000138 AC XY: 1AN XY: 725514 show subpopulations
GnomAD4 genome AF: 0.00000657 AC: 1AN: 152252Hom.: 0 Cov.: 33 AF XY: 0.0000134 AC XY: 1AN XY: 74438 show subpopulations
ClinVar
Submissions by phenotype
Mitochondrial DNA depletion syndrome 13 Uncertain:1
The NM_012160.4:c.3G>A () [GRCH38: NC_000006.12:g.98926986C>T] variant in FBXL4 gene is interpretated to be a Uncertain Significance - Insufficient Evidence based on ACMG guidelines (PMID: 25741868). This variant meets one or more of the following evidence codes reported in the ACMG-guideline. PM2:This variant is absent in key population databases. Based on this evidence code ClinGen Pathogenicity Calculator (PMID:28081714) suggested that the variant is Uncertain Significance - Insufficient Evidence. -
Computational scores
Source:
Splicing
Find out detailed SpliceAI scores and Pangolin per-transcript scores at