Table 2.
Summary of Studies on SNPs in miRNA Targets.
| Study | 3'UTR SNP resource | Tools for identifying SNPs in | |
|---|---|---|---|
| putative targets | verified targets | ||
| Chen et al. [9] | dbSNP125 | PicTar-like algorithm | |
| Saunders et al. [10] | dbSNP126 | TargetScanS | Tarbase |
| Bao et al. [27] | dbSNP126 | TargetScanS | - |
| Yu et al. [11] | dbSNP126 | PicTar | - |
| Landi et al. [33] | dbSNP | PicTar, DIANA-MicroT, miRBase, miRanda, TargetScan, MicroInspector | - |
| Hariharan et al. [34] | dbSNP123 | RNAFold | - |
| Duan et al. [18] | dbSNP129 | TargetScanS and PITA | Tarbase |
| Hiard et al. [19] | dbSNP | predicting SNPs that alter canonical sites matching miRNA seed regions, or conserved octamers in 3'UTRs | - |
| Thomas et al. [35] | HapMap Release 22 | SVM prediction model | - |
| Hu et al. [8] | dbSNP130 | TargetScan | - |
| Richardson et al. [12] | dbSNP132 | miRanda | miRecords |
| Gong et al. [13] | dbSNP 132 | TargetScan and miRanda | - |
| Zhang et al. [28] | HapMap release 27 | predicting SNPs that disrupt or create canonical site motif complementary to seed regions | - |
| Ziebarth et al. [24] | dbSNP132 | TargetScanS | Tarbase, MiRecords, miRTarBase, CLIP-sequencing, allelic imbalance sequencing |
| Liu et al. [32] | dbSNP135 | miRanda | - |