Cristina Menni

This study identifies phenylacetate (PAA), a gut microbiota metabolite, as a driver of vascular niche senescence and atherosclerosis in mice through IL-6-Notch1 signaling.

The paper reconstructs IgG-specific N-glycan profiles from total plasma N-glycome data, identifies known and novel loci associated with IgG N-glycosylation, and enables meta-analyses without new samples.

This study identifies genetic loci regulating fatty acid levels in adipose tissue and links them to metabolic and cardiovascular traits.

The paper finds that higher serum theobromine levels are associated with slower epigenetic ageing in humans, as measured by GrimAge and DNAmTL.

This study identifies 22 novel gene-sleep duration interaction loci for blood pressure traits across 811,405 individuals, highlighting distinct genetic influences of short and long sleep on cardiovascular health.

ESPClust identifies covariates modifying effect sizes in omics association studies, revealing subpopulations with distinct associations.

This study uses whole genome sequencing to identify 18 novel genetic loci associated with plasma fibrinogen levels, including variants more common in African populations and linked to liver-related traits and disease.

This study identifies 17 genetic loci associated with sleep duration and lipid levels, offering potential druggable targets for dyslipidemia in individuals with sleep disturbances.

The paper presents a method to discover new human gut viruses using enriched virome samples and reports over 162,000 novel viral sequences.

This study identifies 400+ genetic loci associated with circulating metabolic traits and highlights pleiotropy and novel disease pathways.

This study identifies 19 genome-wide significant loci associated with liking of physical activity traits using UK Biobank data and validates findings in twin cohorts.

This study conducts a large-scale GWAS of food liking in 161,625 UK Biobank participants, identifying 1401 associations and revealing genetic correlations with brain traits.

The paper identifies heritable symptoms of SARS-CoV-2 infection using twin studies of self-reported symptoms from the TwinsUK cohort.

This study identifies 11 genetic loci associated with salivary metabolites in 1,419 individuals, revealing novel saliva-specific associations and potential clinical applications.