NM_005687.5:c.1753G>C
Variant summary
Our verdict is Likely benign. The variant received -2 ACMG points: 2P and 4B. PM2BP4_Strong
The NM_005687.5(FARSB):c.1753G>C(p.Val585Leu) variant causes a missense 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. 16/21 in silico tools predict a benign outcome for this variant. No clinical diagnostic laboratories have submitted clinical-significance assessments for this variant to ClinVar. Another variant affecting the same amino acid position, but resulting in a different missense (i.e. V585I) has been classified as Benign.
Frequency
Consequence
NM_005687.5 missense
Scores
Clinical Significance
Conservation
Publications
- Rajab interstitial lung disease with brain calcifications 1Inheritance: AR Classification: STRONG, MODERATE, SUPPORTIVE Submitted by: Orphanet, Labcorp Genetics (formerly Invitae), Ambry Genetics, PanelApp Australia
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ACMG classification
Our verdict: Likely_benign. The variant received -2 ACMG points.
Variant Effect in Transcripts
ACMG analysis was done for transcript: NM_005687.5. You can select a different transcript below to see updated ACMG assignments.
RefSeq Transcripts
| Selected | Gene | Transcript | Tags | HGVSc | HGVSp | Effect | Exon Rank | Protein | UniProt |
|---|---|---|---|---|---|---|---|---|---|
| FARSB | NM_005687.5 | MANE Select | c.1753G>C | p.Val585Leu | missense | Exon 17 of 17 | NP_005678.3 | ||
| FARSB | NR_130154.2 | n.1968G>C | non_coding_transcript_exon | Exon 18 of 18 |
Ensembl Transcripts
| Selected | Gene | Transcript | Tags | HGVSc | HGVSp | Effect | Exon Rank | Protein | UniProt |
|---|---|---|---|---|---|---|---|---|---|
| FARSB | ENST00000281828.8 | TSL:1 MANE Select | c.1753G>C | p.Val585Leu | missense | Exon 17 of 17 | ENSP00000281828.6 |
Frequencies
GnomAD3 genomes Cov.: 28
GnomAD4 exome Cov.: 39
GnomAD4 genome Cov.: 28
ClinVar
Not reported inComputational scores
Source:
Splicing
Find out detailed SpliceAI scores and Pangolin per-transcript scores at