rs144682235
Variant summary
Our verdict is Likely benign. The variant received -4 ACMG points: 0P and 4B. BS1
This summary comes from the ClinGen Evidence Repository: The filtering allele frequency of the c.701A>G (p.Gln234Arg) variant in the TECTA gene is 0.37% (104/23994) of African chromosomes by the Genome Aggregation Database (http://gnomad.broadinstitute.org; calculated by using inverse allele frequency at https://www.cardiodb.org/allelefrequencyapp/), which is a high enough frequency to be classified as likely benign based on the thresholds defined by the ClinGen Hearing Loss Expert Panel for autosomal recessive hearing loss variants (BS1). LINK:https://erepo.genome.network/evrepo/ui/classification/CA182505/MONDO:0019497/005
Frequency
Consequence
NM_005422.4 missense
Scores
Clinical Significance
Conservation
Publications
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ACMG classification
Our verdict: Likely_benign. The variant received -4 ACMG points.
Variant Effect in Transcripts
ACMG analysis was done for transcript: NM_005422.4. You can select a different transcript below to see updated ACMG assignments.
Ensembl Transcripts
| Sel. | Gene | Transcript | Tags | HGVSc | HGVSp | Effect | Exon Rank | Protein | UniProt |
|---|---|---|---|---|---|---|---|---|---|
| TECTA | TSL:5 MANE Select | c.701A>G | p.Gln234Arg | missense | Exon 6 of 24 | ENSP00000376543.1 | O75443 | ||
| TECTA | TSL:1 | c.701A>G | p.Gln234Arg | missense | Exon 5 of 23 | ENSP00000264037.2 | O75443 | ||
| TECTA | c.701A>G | p.Gln234Arg | missense | Exon 6 of 24 | ENSP00000493855.1 | A0A2R8YDL0 |
Frequencies
GnomAD3 genomes AF: 0.00166 AC: 252AN: 152036Hom.: 2 Cov.: 32 show subpopulations
GnomAD2 exomes AF: 0.000470 AC: 118AN: 251314 AF XY: 0.000331 show subpopulations
GnomAD4 exome AF: 0.000211 AC: 308AN: 1461770Hom.: 0 Cov.: 32 AF XY: 0.000186 AC XY: 135AN XY: 727164 show subpopulations
Age Distribution
GnomAD4 genome AF: 0.00166 AC: 253AN: 152154Hom.: 2 Cov.: 32 AF XY: 0.00169 AC XY: 126AN XY: 74382 show subpopulations
Age Distribution
ClinVar
Computational scores
Source:
Splicing
Find out detailed SpliceAI scores and Pangolin per-transcript scores at