rs4646437
Variant summary
Our verdict is Benign. The variant received -12 ACMG points: 0P and 12B. BP4_StrongBA1
The NM_017460.6(CYP3A4):c.671-202C>T variant causes a intron change involving the alteration of a non-conserved nucleotide. The variant allele was found at a frequency of 0.292 in 152,112 control chromosomes in the GnomAD database, including 12,044 homozygotes. In-silico tool predicts a benign outcome for this variant. Variant has been reported in ClinVar as drug response (★★★).
Frequency
Consequence
NM_017460.6 intron
Scores
Clinical Significance
Conservation
Publications
- vitamin D-dependent rickets, type 3Inheritance: Unknown, AD Classification: LIMITED Submitted by: Labcorp Genetics (formerly Invitae), Ambry Genetics
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ACMG classification
Our verdict: Benign. The variant received -12 ACMG points.
Transcripts
RefSeq
Ensembl
| Gene | Transcript | HGVSc | HGVSp | Effect | Exon rank | TSL | MANE | Protein | Appris | UniProt |
|---|---|---|---|---|---|---|---|---|---|---|
| CYP3A4 | ENST00000651514.1 | c.671-202C>T | intron_variant | Intron 7 of 12 | NM_017460.6 | ENSP00000498939.1 |
Frequencies
GnomAD3 genomes AF: 0.291 AC: 44289AN: 151994Hom.: 12001 Cov.: 32 show subpopulations
GnomAD4 genome AF: 0.292 AC: 44388AN: 152112Hom.: 12044 Cov.: 32 AF XY: 0.289 AC XY: 21489AN XY: 74362 show subpopulations
Age Distribution
ClinVar
Submissions by phenotype
tacrolimus response - Metabolism/PK Other:1
PharmGKB Level of Evidence 2A: Variants in Level 2A clinical annotations are found in PharmGKB’s Tier 1 Very Important Pharmacogenes (VIPs). These variants are in known pharmacogenes, implying causation of drug phenotype is more likely. These clinical annotations describe variant-drug combinations with a moderate level of evidence supporting the association. For example, the association may be found in multiple cohorts, but there may be a minority of studies that do not support the majority assertion. Level 2A clinical annotations must be supported by at least two independent publications. Drug-variant association: Metabolism/PK
Computational scores
Source:
Splicing
Find out detailed SpliceAI scores and Pangolin per-transcript scores at