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PubMed ID:
35932029
Public Release Type:
Journal
Publication Year: 2022
DOI:
https://doi.org/10.1186/s40168-022-01310-2
Authors:
Wang Chan, Segal Leopoldo N., Hu Jiyuan, Zhou Boyan, Hayes Richard B., Ahn Jiyoung, Li Huilin
Request IDs:
22421
Studies:
The Environmental Determinants of Diabetes in the Young
With the rapid accumulation of microbiome-wide association studies, a great amount of microbiome data are available to study the microbiome’s role in human disease and advance the microbiome’s potential use for disease prediction. However, the unique features of microbiome data hinder its utility for disease prediction.
