M-8545-G-A
Variant summary
Our verdict is Benign. Variant got -7 ACMG points: 0P and 7B. BP4BP6_ModerateBS2
The ENST00000361899.2(MT-ATP6):c.19G>A(p.Ala7Thr) variant causes a missense change involving the alteration of a non-conserved nucleotide. In-silico tool predicts a benign outcome for this variant. 7/10 in silico tools predict a benign outcome for this variant. Variant has been reported in ClinVar as Benign (★). Another nucleotide change resulting in same amino acid change has been previously reported as Likely benignin UniProt. Synonymous variant affecting the same amino acid position (i.e. A7A) has been classified as Likely benign.
Frequency
Consequence
ENST00000361899.2 missense
Scores
Clinical Significance
Conservation
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ACMG classification
Verdict is Benign. Variant got -7 ACMG points.
Transcripts
RefSeq
Gene | Transcript | HGVSc | HGVSp | Effect | #exon/exons | MANE | Protein | UniProt |
---|---|---|---|---|---|---|---|---|
ATP6 | ATP6.1 use as main transcript | c.19G>A | p.Ala7Thr | missense_variant | 1/1 | YP_003024031.1 | ||
ATP8 | ATP8.1 use as main transcript | c.180G>A | p.Ser60= | synonymous_variant | 1/1 | YP_003024030.1 |
Ensembl
Gene | Transcript | HGVSc | HGVSp | Effect | #exon/exons | TSL | MANE | Protein | Appris | UniProt |
---|---|---|---|---|---|---|---|---|---|---|
MT-ATP6 | ENST00000361899.2 | c.19G>A | p.Ala7Thr | missense_variant | 1/1 | ENSP00000354632 | P1 | |||
MT-ATP8 | ENST00000361851.1 | c.180G>A | p.Ser60= | synonymous_variant | 1/1 | ENSP00000355265 | P1 |
Frequencies
GnomAD4 exome Cov.: 0
Mitomap
ClinVar
Submissions by phenotype
Leigh syndrome Benign:1
Benign, criteria provided, single submitter | clinical testing | Wong Mito Lab, Molecular and Human Genetics, Baylor College of Medicine | Oct 17, 2019 | The NC_012920.1:m.8545G>A (YP_003024031.1:p.Ala7Thr) variant in MTATP6 gene is interpretated to be a Benign variant based on the modified ACMG guidelines (unpublished). This variant meets the following evidence codes: BS1, BS2 - |
Computational scores
Source:
Splicing
Find out detailed SpliceAI scores and Pangolin per-transcript scores at