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. 2020 Jan 8;5(4):519–529. doi: 10.1016/j.ekir.2019.12.016

Table 3.

In silico prediction scores of clinical pathogenicity for UMOD variants

Family Nucleotide change GnomAD_ genomes_AF CLIN_SIG PolyPhen-2 SIFT MetaSVM M-CAP LRT GERP++_RS CADD_ PHRED
FGJD c.944G>T 0 NA D D D D D 4.64 32
FGIT c.605G>C 0 NA D D D D D 5.13 32
FGDC
FGJF
c.317G>T 0 Likely pathogenic D D D D D 5.45 28
FGCM
FGCO
FGGR
c.278_289delins
CCGCCTCCT
0 Pathogenic NA NA NA NA NA NA 20.4
FGLV c.235C>G 0 NA NA NA NA NA NA NA 0.566
G48055 (control) c.1743_1744
delinsTG
0 NA NA NA NA NA NA NA NA

CLIN_SIG, Clinvar database annotation signature; D, deleterious; GnomAD_genomes_AF, variant frequency in GnomAD database; NA, not applicable.

Prediction tools for predicting deleteriousness of single nucleotide variants or insertion/deletion variants: PolyPhen-2, Polymorphism Phenotyping v2; SIFT, Sorting Tolerant From Intolerant; M-CAP, Mendelian Clinically Applicable Pathogenicity; LRT, likelihood ratio test; GERP++RS, Genomic Evolutionary Rate Profiling rejected substitution; and CADD, Combined Annotation Dependent Depletion.