There is growing interest in retained introns in a variety of disease contexts including cancer and aging. Many software tools have been developed to detect retained introns from short RNA-seq reads, but reliable detection is complicated by overlapping genes and transcripts as well as the presence of unprocessed or partially processed RNAs. We compared introns detected by 5 tools using short RNA-seq reads with introns observed in long RNA-seq reads from the same biological specimens and found: (1) significant disagreement among tools (Fleiss’ κ = 0.231 ) such that 52.4% of all detected intron retentions were not called by more than one tool; (2) that no tool achieved greater than 20% precision or 35% recall under generous conditions; and (3) that retained intron detectability was adversely affected by greater intron length and overlap with annotated exons.
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David et al. (2022) studied this question.
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