Rico Rueedi

This study identifies 43 genomic loci associated with reproductive success in 785,604 individuals, showing ongoing natural selection at the FADS locus.

This study identifies causal genes modulating urine metabolite concentrations by integrating metabolomics and transcriptomics data through mQTL analysis and Mendelian randomization.

The paper evaluates three NMR analysis tools for metabolite identification in human urine, finding ISA and ACP robustly identify metabolites while PCA fails.

This study identifies genetic effects on birth weight and their impact on cardio-metabolic traits, distinguishing fetal and maternal contributions.

The paper introduces a microservices-based framework for scalable data analysis, validated in metabolomics, enabling dynamic scaling and integration of software tools.

PhenoMeNal provides a cloud-based platform for metabolomics data analysis, integrating tools and workflows to enable reproducible and scalable research.

The paper identifies transcription factors associated with chromatin accessibility using a linear mixed model applied to ENCODE data, confirming known and suggesting novel regulators.