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JOURNAL OF CLINICAL MICROBIOLOGY
Volume -, Issue -, Pages -Publisher
AMER SOC MICROBIOLOGY
DOI: 10.1128/jcm.00223-23
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According to the study by K. T. Hellmann et al., the use of a bacterial polygenic risk score improves the prediction accuracy of S. epidermidis infection in neonates and enhances the generalizability to external data.
Determining the risk of a phenotypic outcome is a complex balance of variants for or against the phenotype, which in the context of human genetic diseases have been summarized using polygenic risk scores. In a previously published article (K. T. Hellmann, L. Challagundla, B. M. Gray, D. A. Robinson, J Clin Microbiol 61:e01412-22, 2023, https://doi.org/10.1128/jcm.01412-22), Hellmann and colleagues demonstrate how the use of a bacterial polygenic risk score to predict S. epidermidis infection versus coloniza-tion in neonates led to both increases in predictive accuracy and improved generalizability to external data.
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