ENST00000550767.6:c.-10C>T
Variant summary
Our verdict is Benign. Variant got -14 ACMG points: 0P and 14B. BP4_ModerateBP6_Very_StrongBS2
The ENST00000550767.6(TUBA1A):c.-10C>T variant causes a 5 prime UTR premature start codon gain change involving the alteration of a non-conserved nucleotide. The variant allele was found at a frequency of 0.0000403 in 1,614,170 control chromosomes in the GnomAD database, with no homozygous occurrence. In-silico tool predicts a benign outcome for this variant. Variant has been reported in ClinVar as Likely benign (★★).
Frequency
Consequence
ENST00000550767.6 5_prime_UTR_premature_start_codon_gain
Scores
Clinical Significance
Conservation
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ACMG classification
Verdict is Benign. Variant got -14 ACMG points.
Transcripts
RefSeq
Gene | Transcript | HGVSc | HGVSp | Effect | Exon rank | MANE | Protein | UniProt |
---|---|---|---|---|---|---|---|---|
TUBA1A | NM_006009.4 | c.96C>T | p.Pro32Pro | synonymous_variant | Exon 2 of 4 | ENST00000301071.12 | NP_006000.2 | |
TUBA1A | NM_001270400.2 | c.-10C>T | 5_prime_UTR_premature_start_codon_gain_variant | Exon 2 of 4 | NP_001257329.1 | |||
TUBA1A | NM_001270399.2 | c.96C>T | p.Pro32Pro | synonymous_variant | Exon 2 of 4 | NP_001257328.1 | ||
TUBA1A | NM_001270400.2 | c.-10C>T | 5_prime_UTR_variant | Exon 2 of 4 | NP_001257329.1 |
Ensembl
Frequencies
GnomAD3 genomes AF: 0.000118 AC: 18AN: 152164Hom.: 0 Cov.: 31
GnomAD3 exomes AF: 0.0000597 AC: 15AN: 251444Hom.: 0 AF XY: 0.0000441 AC XY: 6AN XY: 135910
GnomAD4 exome AF: 0.0000322 AC: 47AN: 1461888Hom.: 0 Cov.: 38 AF XY: 0.0000330 AC XY: 24AN XY: 727246
GnomAD4 genome AF: 0.000118 AC: 18AN: 152282Hom.: 0 Cov.: 31 AF XY: 0.000121 AC XY: 9AN XY: 74460
ClinVar
Submissions by phenotype
not specified Benign:1
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not provided Benign:1
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TUBA1A-related disorder Benign:1
This variant is classified as likely benign based on ACMG/AMP sequence variant interpretation guidelines (Richards et al. 2015 PMID: 25741868, with internal and published modifications). -
Computational scores
Source:
Splicing
Find out detailed SpliceAI scores and Pangolin per-transcript scores at