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Large scale multi-cohort metagenomic investigation of the human gut microbiome in health and disease.

Host-microbiome associations are shaped by host health, disease state and geography. We  aim to integrate a large number of published metagenomic datasets from various cohorts  worldwide, across diseases and geographies. We will process these large scale data with  standardized methods, correcting for batch effects. Standard statistical approaches and  more sophisticated machine learning techniques will be used to quantify associations  between microbiome features and host traits.  

The specific objectives of this project are:  
1) Generating standardized, comparable taxonomic and functional profiles of human gut  microbiomes from published studies  
2) Performing association analyses of microbiome profiles and diversity with anthropometric,  demographic, clinical and environmental variables  
3) Sharing with the research community summary microbiome variables and feature profiles  through an online repository. The original raw data and participant metadata will not be  shared with third parties or the research community.  

For this purpose, we are requesting access to all available gut microbiome data of the DMP  (metagenomic sequencing data and metadata) to expand our dataset.  

The data that we require for this purpose are:  
1. Human gut metagenomic sequencing data  
2. Participant demographic and clinical data (age, sex, BMI (or weight/height), country,  Bristol stool scale, health status, disease)  

The project will leverage the Institute of Clinical Molecular Biology's expertise in human  microbiome research, particularly genomics and metagenomics. Standardized metagenomic  data processing pipelines, such as TOFU-MAaPO, have been developed internally  (https://github.com/ikmb/TOFU-MAaPO).  

The project is funded by the DFG Research Unit miTarget 5042 and the VESICULOME ERC  Consolidator grant (ID: 101126254).

Year of approval

2024

Institute

Universitätsklinikum Schleswig-Holstein

Primary applicant

Groussin, M.