Miriam Goldman

Jun 30, 2024 | biorxiv.org | Miriam Goldman |Chunyu Zhao |Katherine S. Pollard

AbstractMicrobiome association studies typically link host disease or other traits to summary statistics measured in metagenomics data, such as diversity or taxonomic composition. But identifying disease-associated species based on their relative abundance does not provide insight into why these microbes act as disease markers, and it overlooks cases where disease risk is related to specific strains with unique biological functions.