15-45402625-G-T
Variant summary
Our verdict is Likely pathogenic. Variant got 6 ACMG points: 6P and 0B. PS1_ModeratePM2PP3_Moderate
The NM_024063.3(AFG2B):c.196G>T(p.Asp66Tyr) variant causes a missense change. The variant allele was found at a frequency of 0.00000281 in 1,424,260 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 (★). Another nucleotide change resulting in the same amino acid substitution has been previously reported as Likely pathogenic in UniProt.
Frequency
Consequence
NM_024063.3 missense
Scores
Clinical Significance
Conservation
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ACMG classification
Verdict is Likely_pathogenic. Variant got 6 ACMG points.
Transcripts
RefSeq
Ensembl
Gene | Transcript | HGVSc | HGVSp | Effect | #exon/exons | TSL | MANE | Protein | Appris | UniProt |
---|---|---|---|---|---|---|---|---|---|---|
SPATA5L1 | ENST00000305560.11 | c.196G>T | p.Asp66Tyr | missense_variant | 1/8 | 1 | NM_024063.3 | ENSP00000305494.6 | ||
SPATA5L1 | ENST00000531970.5 | n.196G>T | non_coding_transcript_exon_variant | 1/8 | 2 | ENSP00000436823.1 | ||||
SPATA5L1 | ENST00000559860.2 | n.256G>T | non_coding_transcript_exon_variant | 1/5 | 2 |
Frequencies
GnomAD3 genomes Cov.: 33
GnomAD3 exomes AF: 0.00000562 AC: 1AN: 177934Hom.: 0 AF XY: 0.00 AC XY: 0AN XY: 98648
GnomAD4 exome AF: 0.00000281 AC: 4AN: 1424260Hom.: 0 Cov.: 34 AF XY: 0.00000283 AC XY: 2AN XY: 706446
GnomAD4 genome Cov.: 33
ClinVar
Submissions by phenotype
not provided Uncertain:1
Uncertain significance, criteria provided, single submitter | clinical testing | GeneDx | Jul 23, 2021 | In silico analysis supports that this missense variant has a deleterious effect on protein structure/function; In addition, in silico splice predictors suggest this variant may lead to abnormal gene splicing. However, in the absence of RNA/functional studies, the actual effect of this sequence change is unknown; Not observed at significant frequency in large population cohorts (Lek et al., 2016) - |
Computational scores
Source:
Splicing
Find out detailed SpliceAI scores and Pangolin per-transcript scores at