Rosa M. Badia

This study applies an improved GWAS strategy to age-related diseases, identifying new genetic loci by using multiple reference panels, analyzing the X chromosome, and testing non-additive models.

The paper presents a workflow management system to enable complex molecular dynamics simulations across different computational platforms and large-scale supercomputing infrastructures.

MuGVRE provides a cloud-based infrastructure for 3D/4D genomics analysis, supporting both high-computational and high-throughput applications.

The paper reanalyzes T2D GWAS data to identify a rare X chromosome variant associated with increased T2D risk in males.