A0251
Title: Integrative analysis of multiple microbiome studies
Authors: Ni Zhao - Johns Hopkins University (United States) [presenting]
Abstract: Recent studies have highlighted the importance of human microbiota in our health and diseases. However, in many research areas, individual microbiome studies often offer inconsistent results due to the limited sample sizes and the heterogeneity in study populations and experimental procedures. Integrative analysis of multiple microbiome datasets is necessary. However, statistical methods that incorporate multiple microbiome datasets and account for the study heterogeneity are unavailable in the literature. Two recent developments are discussed from our lab that aims at the integrative analysis of multiple microbiome datasets, one for the analysis of alpha diversity and one for the analysis of beta diversities. These approaches are applied to data from the HIV-reanalysis consortium, a collective effort that obtained all publicly available data on the gut microbiome and HIV in December 2017, and a coherent association of gut microbiome is obtained with HIV infection and with MSM status (i.e. men who have sex with men).
