Oliver Aasmets

The paper links polygenic risk scores to gut microbiome traits using the Estonian Microbiome Cohort, identifying 282 species-level associations and suggesting microbiome mediation of genetic risk.

The paper uses population-specific metagenome-assembled genomes to discover novel gut species and sub-species diversity, revealing disease associations at the sub-species level.

This study shows that fecal microbial load, not disease, is the main driver of gut microbiome changes and identifies it as a major confounder in microbiome studies.

The paper reviews the Estonian Biobank's role in advancing genomics research and personalized medicine through its comprehensive data and translational focus.

This study shows that repeated antibiotic use in humans leads to microbiota changes that impair intestinal mucus function in mice.

The paper evaluates long-term effects of antibiotics and human-targeted medications on the gut microbiome using electronic health records and metagenomics data.

This study evaluates how data transformations and model selection affect feature importance in microbiome classification, showing that presence-absence transformations perform well and only a small subset of features is critical for classification.