Incomplete human reference genomes can drive false sex biases and expose patient-identifying information in metagenomic data

Incomplete human reference genomes can drive false sex biases and expose patient-identifying information in metagenomic data

Abstract As next-generation sequencing technologies produce deeper genome coverages at lower costs, there is a critical need for reliable computational host DNA removal in metagenomic data. We find that insufficient host filtration using prior human genome references can introduce false sex biases a...

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Main Authors: Caitlin Guccione, Lucas Patel, Yoshihiko Tomofuji, Daniel McDonald, Antonio Gonzalez, Gregory D. Sepich-Poore, Kyuto Sonehara, Mohsen Zakeri, Yang Chen, Amanda Hazel Dilmore, Neil Damle, Sergio E. Baranzini, George Hightower, Teruaki Nakatsuji, Richard L. Gallo, Ben Langmead, Yukinori Okada, Kit Curtius, Rob Knight
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-025-56077-5
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https://doi.org/10.1038/s41467-025-56077-5

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