NM_015937.6:c.806C>T
Variant summary
Our verdict is Benign. The variant received -9 ACMG points: 0P and 9B. BP4_StrongBP6BS1
The NM_015937.6(PIGT):c.806C>T(p.Thr269Met) variant causes a missense change. The variant allele was found at a frequency of 0.00107 in 1,613,680 control chromosomes in the GnomAD database, including 1 homozygotes. In-silico tool predicts a benign outcome for this variant. Variant has been reported in ClinVar as Conflicting classifications of pathogenicity (no stars). Synonymous variant affecting the same amino acid position (i.e. T269T) has been classified as Likely benign.
Frequency
Consequence
NM_015937.6 missense
Scores
Clinical Significance
Conservation
Publications
- multiple congenital anomalies-hypotonia-seizures syndrome 3Inheritance: AR Classification: DEFINITIVE, STRONG, SUPPORTIVE Submitted by: G2P, Labcorp Genetics (formerly Invitae), Orphanet, Ambry Genetics, PanelApp Australia
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ACMG classification
Our verdict: Benign. The variant received -9 ACMG points.
Transcripts
RefSeq
Ensembl
Frequencies
GnomAD3 genomes AF: 0.000704 AC: 107AN: 152094Hom.: 0 Cov.: 32 show subpopulations
GnomAD2 exomes AF: 0.000527 AC: 132AN: 250380 AF XY: 0.000465 show subpopulations
GnomAD4 exome AF: 0.00111 AC: 1618AN: 1461468Hom.: 1 Cov.: 31 AF XY: 0.00106 AC XY: 773AN XY: 727004 show subpopulations
Age Distribution
GnomAD4 genome AF: 0.000703 AC: 107AN: 152212Hom.: 0 Cov.: 32 AF XY: 0.000524 AC XY: 39AN XY: 74408 show subpopulations
Age Distribution
ClinVar
Submissions by phenotype
not provided Uncertain:2
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In silico analysis supports that this missense variant does not alter protein structure/function; Has not been previously published as pathogenic or benign to our knowledge -
PIGT-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). -
Multiple congenital anomalies-hypotonia-seizures syndrome 3 Benign:1
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Computational scores
Source:
Splicing
Find out detailed SpliceAI scores and Pangolin per-transcript scores at