rs587783485
Variant summary
Our verdict is Likely pathogenic. Variant got 9 ACMG points: 10P and 1B. PM2PP5_Very_StrongBP4
The NM_004380.3(CREBBP):c.3914+3G>T variant causes a splice region, intron change involving the alteration of a non-conserved nucleotide. The variant was absent in control chromosomes in GnomAD project. In-silico tool predicts a benign outcome for this variant. 2/3 splice prediction tools predict no significant impact on normal splicing. Variant has been reported in ClinVar as Likely pathogenic (★★).
Frequency
Consequence
NM_004380.3 splice_region, intron
Scores
Clinical Significance
Conservation
Genome browser will be placed here
ACMG classification
Verdict is Likely_pathogenic. Variant got 9 ACMG points.
Transcripts
RefSeq
Gene | Transcript | HGVSc | HGVSp | Effect | Exon rank | MANE | Protein | UniProt |
---|---|---|---|---|---|---|---|---|
CREBBP | NM_004380.3 | c.3914+3G>T | splice_region_variant, intron_variant | Intron 22 of 30 | ENST00000262367.10 | NP_004371.2 |
Ensembl
Frequencies
GnomAD3 genomes Cov.: 33
GnomAD4 exome Cov.: 31
GnomAD4 genome Cov.: 33
ClinVar
Submissions by phenotype
Rubinstein-Taybi syndrome due to CREBBP mutations Pathogenic:2
- -
The heterozygous c.3914+3G>T variant in CREBBP was identified in 1 individual with clinical features of Rubinstein-Taybi syndrome via a collaborative study between the Broad Institute's Center for Mendelian Genomics and the Neurodev Study (https://www.neurodevproject.org/). Trio exome analysis showed this variant to be de novo. The c.3914+3G>T variant in CREBBP has not been previously reported in individuals with Rubinstein-Taybi syndrome and was absent from large population studies. Computational prediction tools and conservation analyses do not provide strong support for or against an impact to the protein. In summary, although additional studies are required to fully establish its clinical significance, this variant is likely pathogenic for autosomal dominant Rubinstein-Taybi syndrome. ACMG/AMP Criteria applied: PS2, PP4, PM2_supporting (Richards 2015). -
Computational scores
Source:
Splicing
Find out detailed SpliceAI scores and Pangolin per-transcript scores at