rs1057523753
Variant summary
Our verdict is Likely benign. Variant got -3 ACMG points: 2P and 5B. PM2BP4_StrongBP6
The NM_000455.5(STK11):c.*6G>A variant causes a 3 prime UTR change involving the alteration of a non-conserved nucleotide. The variant allele was found at a frequency of 0.00000147 in 1,363,044 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 Conflicting classifications of pathogenicity (no stars).
Frequency
Consequence
NM_000455.5 3_prime_UTR
Scores
Clinical Significance
Conservation
Genome browser will be placed here
ACMG classification
Verdict is Likely_benign. Variant got -3 ACMG points.
Transcripts
RefSeq
Gene | Transcript | HGVSc | HGVSp | Effect | Exon rank | MANE | Protein | UniProt |
---|---|---|---|---|---|---|---|---|
STK11 | NM_000455.5 | c.*6G>A | 3_prime_UTR_variant | Exon 9 of 10 | ENST00000326873.12 | NP_000446.1 | ||
STK11 | NR_176325.1 | n.2575G>A | non_coding_transcript_exon_variant | Exon 10 of 11 |
Ensembl
Gene | Transcript | HGVSc | HGVSp | Effect | Exon rank | TSL | MANE | Protein | Appris | UniProt |
---|---|---|---|---|---|---|---|---|---|---|
STK11 | ENST00000326873.12 | c.*6G>A | 3_prime_UTR_variant | Exon 9 of 10 | 1 | NM_000455.5 | ENSP00000324856.6 | |||
STK11 | ENST00000585748.3 | c.*6G>A | 3_prime_UTR_variant | Exon 11 of 12 | 3 | ENSP00000477641.2 |
Frequencies
GnomAD3 genomes Cov.: 33
GnomAD4 exome AF: 0.00000147 AC: 2AN: 1363044Hom.: 0 Cov.: 31 AF XY: 0.00000298 AC XY: 2AN XY: 670336
GnomAD4 genome Cov.: 33
ClinVar
Submissions by phenotype
Hereditary cancer-predisposing syndrome Uncertain:1
- -
Peutz-Jeghers syndrome Uncertain:1
- -
not specified Benign:1
This variant is considered likely benign or benign based on one or more of the following criteria: it is a conservative change, it occurs at a poorly conserved position in the protein, it is predicted to be benign by multiple in silico algorithms, and/or has population frequency not consistent with disease. -
Computational scores
Source:
Splicing
Find out detailed SpliceAI scores and Pangolin per-transcript scores at