Ιωάννα Ντάλλα

This study identifies 118 candidate causal genes and 21 novel lipid loci on the X chromosome through a multi-ancestry meta-analysis of blood lipid levels, revealing sex-biased effects and pleiotropy with cardiovascular and hormonal traits.

This paper integrates GWAS data with functional genomic datasets to identify regulatory mechanisms and causal genes underlying lipid-related traits.

This paper calls copy number variants from whole-genome sequencing data of 6,898 individuals using a regression tree-based method, identifying 1,320 CNVs and their potential clinical impact.

This study identifies 210 genetic loci associated with the PR interval through multi-ancestry GWAS, highlighting their role in cardiac conduction and cardiovascular disease.

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

The paper performs deep whole genome sequencing on 1,457 individuals to investigate rare variant contributions to cardiometabolic traits, identifying new regulatory variants and gene-trait associations.

This study fine-maps type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps, identifying 73 variants with >80% posterior probability of association.

This study investigates the genetic contributions to gestational weight gain, finding that maternal common variants explain about 20% of variability, while fetal variants have a minor role.