16-89745001-C-T
Variant summary
Our verdict is Benign. Variant got -9 ACMG points: 0P and 9B. BP4_StrongBP6BS1
The NM_000135.4(FANCA):c.3584G>A(p.Arg1195Gln) variant causes a missense change involving the alteration of a non-conserved nucleotide. The variant allele was found at a frequency of 0.000278 in 1,611,176 control chromosomes in the GnomAD database, including 2 homozygotes. In-silico tool predicts a benign outcome for this variant. 15/19 in silico tools predict a benign outcome for this variant. Variant has been reported in ClinVar as Conflicting classifications of pathogenicity (no stars).
Frequency
Consequence
NM_000135.4 missense
Scores
Clinical Significance
Conservation
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ACMG classification
Verdict is Benign. Variant got -9 ACMG points.
Transcripts
RefSeq
Ensembl
Frequencies
GnomAD3 genomes AF: 0.00151 AC: 230AN: 152202Hom.: 1 Cov.: 32
GnomAD3 exomes AF: 0.000340 AC: 84AN: 247100Hom.: 1 AF XY: 0.000254 AC XY: 34AN XY: 134090
GnomAD4 exome AF: 0.000149 AC: 217AN: 1458856Hom.: 1 Cov.: 31 AF XY: 0.000127 AC XY: 92AN XY: 725844
GnomAD4 genome AF: 0.00152 AC: 231AN: 152320Hom.: 1 Cov.: 32 AF XY: 0.00156 AC XY: 116AN XY: 74476
ClinVar
Submissions by phenotype
not specified Uncertain:1Other:1
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Fanconi anemia Benign:2
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Inborn genetic diseases Benign:1
This alteration is classified as likely benign based on a combination of the following: seen in unaffected individuals, population frequency, intact protein function, lack of segregation with disease, co-occurrence, RNA analysis, in silico models, amino acid conservation, lack of disease association in case-control studies, and/or the mechanism of disease or impacted region is inconsistent with a known cause of pathogenicity. -
Fanconi anemia complementation group A Benign:1
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FANCA-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). -
not provided Benign:1
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Computational scores
Source:
Splicing
Find out detailed SpliceAI scores and Pangolin per-transcript scores at