rs935863
Variant summary
Our verdict is Likely benign. Variant got -4 ACMG points: 0P and 4B. BP4_Strong
The ENST00000442996.1(ENSG00000236449):n.322-676A>C variant causes a intron, non coding transcript change involving the alteration of a non-conserved nucleotide. 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: not found (cov: 32)
Scores
2
Clinical Significance
Not reported in ClinVar
Conservation
PhyloP100: 0.579
Genes affected
CHRNA1 (HGNC:1955): (cholinergic receptor nicotinic alpha 1 subunit) The muscle acetylcholine receptor consiststs of 5 subunits of 4 different types: 2 alpha subunits and 1 each of the beta, gamma, and delta subunits. This gene encodes an alpha subunit that plays a role in acetlycholine binding/channel gating. Alternatively spliced transcript variants encoding different isoforms have been identified. [provided by RefSeq, Nov 2012]
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ACMG classification
Classification made for transcript
Verdict is Likely_benign. Variant got -4 ACMG points.
BP4
?
Computational evidence support a benign effect (BayesDel_noAF=-0.85).
Transcripts
RefSeq
Gene | Transcript | HGVSc | HGVSp | Effect | #exon/exons | MANE | UniProt |
---|
Ensembl
Gene | Transcript | HGVSc | HGVSp | Effect | #exon/exons | TSL | MANE | Appris | UniProt |
---|---|---|---|---|---|---|---|---|---|
ENST00000442996.1 | n.322-676A>C | intron_variant, non_coding_transcript_variant | 1 | ||||||
CHRNA1 | ENST00000636168.2 | c.-447+4032T>G | intron_variant | 5 | |||||
ENST00000654673.1 | n.285A>C | non_coding_transcript_exon_variant | 1/2 |
Frequencies
GnomAD3 genomes ? Cov.: 32
GnomAD3 genomes
?
Cov.:
32
We have no GnomAD4 exomes data on this position. Probably position not covered by the project.
GnomAD4 genome ? Cov.: 32
GnomAD4 genome
?
Cov.:
32
ClinVar
Not reported inComputational scores
Source:
Name
Calibrated prediction
Score
Prediction
BayesDel_noAF
Benign
Cadd
Benign
Dann
Benign
Splicing
Find out detailed SpliceAI scores and Pangolin per-transcript scores at