Table 2.
Prediction of deleterious nsSNP in PTX-3 gene.
| nsSNP ID | Mutation position | Domain | Deleterious prediction |
|---|---|---|---|
| rs564774580 | R188C | PTX | 5 |
| rs529759691 | F193S | PTX | 5 |
| rs532972316 | E235K | PTX | 5 |
| rs190837481 | H269Y | PTX | 5 |
| rs144979346 | G306E | PTX | 5 |
| rs4478039 | E313K | PTX | 5 |
| rs76994524 | N337S | PTX | 5 |
| rs146705881 | L343I | PTX | 5 |
| rs140073706 | S344R | PTX | 5 |
| rs138818541 | R360W | PTX | 5 |
It represents the use of seven different SNP algorithms with different parameters to evaluate the nsSNPs. nsSNPs predicted to be deleterious by at least five different in silico SNP algorithms were categorized as high-risk nsSNPs. Because each algorithm uses different parameters to assess the nsSNPs, hence, nsSNPs with more positive results in SNP algorithms are more likely to be deleterious. 10 nsSNPs predicted to be deleterious in pentraxin-domain by at least five different SNP algorithms (Figure 1).