Elena Bernabeu

The paper describes a large DNA methylation dataset from the Generation Scotland cohort, providing methylation profiles and associated phenotypes for research purposes.

The paper conducts a Bayesian EWAS and GWAS of smoking using DNA methylation data from blood and brain tissues, identifying smoking-related loci and developing an epigenetic biomarker.

The paper develops epigenetic scores for GDF15 and NT-proBNP levels, showing associations with disease risks and brain health traits in two cohorts.

The paper introduces MAJA, a method for joint association testing in multi-omics data, finding shared epigenetic pathways across multiple traits in methylation data.

This paper develops an epigenetic score to objectively measure alcohol consumption using blood-based DNA methylation and validates it across multiple cohorts, finding associations with brain health metrics.

The paper calculates DNA methylation correlations across body fat traits using genome-wide data to identify shared associations and sex-specific differences.

The paper refines epigenetic predictors of chronological and biological age using large-scale EWAS and external validation, improving cAge prediction and outperforming existing bAge predictors.

The paper conducts blood-based epigenome-wide association studies on 19 disease states, identifying novel CpG-disease associations and highlighting poor replication in existing literature.

This study examines sexual differences in genetic architecture across 530 traits in 450,000 UK Biobank individuals, finding sex-specific heritability and genetic correlations.