An official website of the United States government

Publication Information

PubMed ID
Public Release Type
Journal
Publication Year
2022
Authors
Wang Chan, Segal Leopoldo N., Hu Jiyuan, Zhou Boyan, Hayes Richard B., Ahn Jiyoung, Li Huilin
Studies

Abstract

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.