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. 2014 Sep 15;3(1):14–29. doi: 10.1002/mgg3.109

Table 2.

Pathogenicity predictions for missense and splice site mutations based on in silico analyses.

Amino acid change predictions
DNA change Mutation consequence Exome variant server1 PhyloP Grantham score SIFT PolyPhen References
c.242C>G p.(Thr81Arg) 2.55 71 Tolerated Benign Novel
c.332T>C p.(Ile111Thr) 4.56 89 Deleterious Probably damaging Li et al. (2004)
c.604G>A p.(Glu202Lys) 5.61 56 Deleterious Probably damaging Novel
c.1198C>T p.(Arg400Cys) 2/13004 MAF 0.0154 4.48 180 Deleterious Probably damaging Lai et al. (2007)
c.1393A>G p.(Arg465Gly) 2/13004 MAF 0.0077 1.25 125 Deleterious Probably damaging Rossi et al. (2013)
Splicing prediction
DNA change Mutation consequence Position SSF (0–100) MaxEnt (0–12) NNSPLICE (0–1) HSF (0–100) Reference
c.604+4A>G Altered splicing c.604 84.07 ⇒ 73.99 (−12.0%) 8.95 ⇒ 4.29 (−52.1%) 0.98 ⇒ 0 (−100%) 92.33 ⇒ 83.99 (−9.0%) Novel

List of missense and splice site mutations identified in this study and predictions of their consequences with the use of in silico program (SIFT and PolyPhen). Splicing prediction shows the percent decrease in comparison to the original splice donor site scores. In addition, HSF predicted a novel splice donor site in position c.604+4. SIFT, sorting intolerant from tolerant; MAF, minor allele frequency; HSF, Human Splicing Finder; SSF, Splice Sequence Finder; NNSPLICE, Splice Site Prediction by Neural Network.

1

Heterozygous alleles of total number of chromosomes.