rs143384152
Variant summary
Our verdict is Benign. The variant received -15 ACMG points: 1P and 16B. PP2BP4_StrongBP6_Very_StrongBS1
The NM_145207.3(AFG2A):c.766A>G(p.Ile256Val) variant causes a missense change involving the alteration of a non-conserved nucleotide. The variant allele was found at a frequency of 0.000182 in 1,614,212 control chromosomes in the GnomAD database, with no homozygous occurrence. In-silico tool predicts a benign outcome for this variant. 16/21 in silico tools predict a benign outcome for this variant. Variant has been reported in ClinVar as Likely benign (★★). Another variant affecting the same amino acid position, but resulting in a different missense (i.e. I256T) has been classified as Benign.
Frequency
Consequence
NM_145207.3 missense
Scores
Clinical Significance
Conservation
Publications
- microcephaly-intellectual disability-sensorineural hearing loss-epilepsy-abnormal muscle tone syndromeInheritance: AR Classification: DEFINITIVE, STRONG, SUPPORTIVE Submitted by: Labcorp Genetics (formerly Invitae), G2P, Orphanet, PanelApp Australia
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ACMG classification
Our verdict: Benign. The variant received -15 ACMG points.
Transcripts
RefSeq
Ensembl
Frequencies
GnomAD3 genomes AF: 0.00108 AC: 164AN: 152204Hom.: 0 Cov.: 33 show subpopulations
GnomAD2 exomes AF: 0.000243 AC: 61AN: 251426 AF XY: 0.000184 show subpopulations
GnomAD4 exome AF: 0.0000889 AC: 130AN: 1461890Hom.: 0 Cov.: 31 AF XY: 0.0000756 AC XY: 55AN XY: 727248 show subpopulations
Age Distribution
GnomAD4 genome AF: 0.00108 AC: 164AN: 152322Hom.: 0 Cov.: 33 AF XY: 0.000873 AC XY: 65AN XY: 74486 show subpopulations
Age Distribution
ClinVar
Submissions by phenotype
not specified Benign:1
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not provided Benign:1
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AFG2A-related disorder Benign:1
This variant is classified as likely benign based on ACMG/AMP sequence variant interpretation guidelines (Richards et al. 2015 PMID: 25741868, with internal and published modifications). -
Microcephaly-intellectual disability-sensorineural hearing loss-epilepsy-abnormal muscle tone syndrome Benign:1
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Computational scores
Source:
Splicing
Find out detailed SpliceAI scores and Pangolin per-transcript scores at