8-78807362-A-G
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Variant summary
Our verdict is Benign. Variant got -12 ACMG points: 0P and 12B. BP4_StrongBA1
The ENST00000649603.1(MITA1):n.403+1667A>G variant causes a intron, non coding transcript change involving the alteration of a non-conserved nucleotide. The variant allele was found at a frequency of 0.102 in 152,184 control chromosomes in the GnomAD database, including 866 homozygotes. In-silico tool predicts a benign outcome for this variant. No clinical diagnostic laboratories have submitted clinical-significance assessments for this variant to ClinVar.
Frequency
Genomes: 𝑓 0.10 ( 866 hom., cov: 32)
Consequence
MITA1
ENST00000649603.1 intron, non_coding_transcript
ENST00000649603.1 intron, non_coding_transcript
Scores
2
Clinical Significance
Not reported in ClinVar
Conservation
PhyloP100: -0.0100
Genes affected
MITA1 (HGNC:56733): (metabolism induced tumor activator 1)
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ACMG classification
Classification made for transcript
Verdict is Benign. Variant got -12 ACMG points.
BP4
Computational evidence support a benign effect (BayesDel_noAF=-0.9).
BA1
GnomAd4 highest subpopulation (AFR) allele frequency at 95% confidence interval = 0.122 is higher than 0.05.
Transcripts
RefSeq
Gene | Transcript | HGVSc | HGVSp | Effect | #exon/exons | MANE | UniProt |
---|---|---|---|---|---|---|---|
LOC105375914 | XR_001745967.2 | n.1224+1667A>G | intron_variant, non_coding_transcript_variant |
Ensembl
Gene | Transcript | HGVSc | HGVSp | Effect | #exon/exons | TSL | MANE | Appris | UniProt |
---|---|---|---|---|---|---|---|---|---|
MITA1 | ENST00000649603.1 | n.403+1667A>G | intron_variant, non_coding_transcript_variant |
Frequencies
GnomAD3 genomes AF: 0.103 AC: 15604AN: 152066Hom.: 870 Cov.: 32
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We have no GnomAD4 exomes data on this position. Probably position not covered by the project.
GnomAD4 genome AF: 0.102 AC: 15596AN: 152184Hom.: 866 Cov.: 32 AF XY: 0.101 AC XY: 7548AN XY: 74412
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ClinVar
Not reported inComputational scores
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Name
Calibrated prediction
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Prediction
BayesDel_noAF
Benign
CADD
Benign
DANN
Benign
Splicing
Find out detailed SpliceAI scores and Pangolin per-transcript scores at