(A), (B) and (C) refer to results obtained with ΔtESRseq-, ΔHZEI- and ΔΨ-based bioinformatics approaches, respectively, as described under Materials and Methods. Only MLH1 exon 10 variants located outside the sequences that define the reference splice sites were retained for this analysis as already mentioned in Fig 3. The precise correspondence between each Δ value (ΔtESRseq, ΔHZEI or ΔΨ), the level of exon inclusion observed in the pSPL3m-M1e10 minigene assay, and the identity of the corresponding MLH1 exon 10 variant, is indicated on S1 Table. Correlation coefficients (r) and p-values were determined by performing a Pearson correlation analysis, as described under Materials and Methods.
There is a typographical error in the last sentence of the paragraph following Fig 4 (Results section): ‘ΔΔHZEI’ should be replaced with ‘ΔHZEI’. The correct sentence is: “Moreover, given their lack of comprehensiveness and global quantitation, the performance of these two in silico tools could not be statistically analyzed, nor properly compared to that of ΔtESRseq, ΔHZEI, ΔΨ or EX-SKIP.”
Citation: Soukarieh O, Gaildrat P, Hamieh M, Drouet A, Baert-Desurmont S, Frébourg T, et al. (2016) Correction: Exonic Splicing Mutations Are More Prevalent than Currently Estimated and Can Be Predicted by Using In Silico Tools. PLoS Genet 12(4): e1005971. https://doi.org/10.1371/journal.pgen.1005971
Published: April 6, 2016
Copyright: © 2016 Soukarieh et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.