Discordant bioinformatic predictions of antimicrobial resistance from whole-genome sequencing data of bacterial isolates: An inter-laboratory study
The authors found that participating laboratories produced discordant predictions from identical WGS data. These deficits, at the final analytical stage of using WGS to predict AMR, suggest caution when using this technology in clinical settings. Comprehensive public resistance sequence databases and standardisation in the comparisons between genotype and resistance phenotypes will be fundamental before AST prediction using WGS can be successfully implemented in clinical microbiology laboratories.
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