Matthias Laudes

The paper uses genome-scale metabolic models to predict how diet and lifestyle affect microbial interactions in the gut microbiome, finding shifts from collaboration to competition with high sugar intake.

This study examines the microbial degradation of rutin and genistein in fecal samples from obese and non-obese individuals, identifying metabolites and microbial shifts linked to health outcomes.

The paper uses metabolic modeling to predict precision prebiotics that specifically enhance the abundance of a beneficial microbiome species in C. elegans.

This study performs a genome-wide association analysis of hemorrhoidal disease in 944,133 individuals, identifying 102 risk loci and linking them to vascular and tissue development pathways.

The paper identifies 31 host genetic loci influencing gut microbiome composition through GWAS and suggests causal effects in inflammatory diseases.

DeepWAS integrates regulatory effect predictions of variants into GWAS to identify regulatory SNPs associated with diseases and traits.

This study identifies common genetic variants associated with pulmonary arterial hypertension risk and survival, focusing on HLA-DPA1/DPB1 and a SOX17 enhancer locus.