Fig. 6: Associations between gene mutations and microbial characteristics. | Nature Communications

Fig. 6: Associations between gene mutations and microbial characteristics.

From: Circulating microbial content in myeloid malignancy patients is associated with disease subtypes and patient outcomes

Fig. 6

a Genus α-diversity stratified by DNMT3A mutation status (1580 WT, 259 mutated). b, c Proteobacteria relative abundance stratified by FLT3 (1804 WT, 56 mutated) and NPM1 (1698 WT, 167 mutated) mutation status. In boxplots, bounds of box indicate first and third quartiles, center line indicates median, and whiskers extend to (first quartile −1.5 × IQR) and (third quartile +1.5 × IQR) or extrema, whichever is less extreme (here IQR = interquartile range, i.e. third quartile–first quartile). P-values are from a two-sided logistic regression-based test. d ROC curve for random forest algorithm to classify MPN patients by JAK2 mutation status from microbial content. The random forest generates a probability of a sample having a JAK2 mutation. The color bar indicates varying thresholds of this probability for calling the sample as having the mutation. WT wild type, AUROC area under receiver operating characteristic curve, CI confidence interval, FPR false positive rate.

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