Nora Fernández‐Jiménez

This study constructs a high-resolution placental mQTL resource and investigates how placental DNA methylation relates to early- and later-life traits and their shared vulnerability.

This study uses genome-wide meta-regression to analyze social behavior across different contexts, ages, and reporters, identifying six genetic loci and showing modest heritability.

The paper identifies placental DNA methylation (DNAm) as a potential mediator of genetic risk for schizophrenia, bipolar disorder, and major depressive disorder using mQTL and GWAS data.

This study identifies the lncRNA ARGI as a mediator of virus-induced inflammation in pancreatic beta cells linked to type 1 diabetes through allele-specific transcriptional activation.

This study identifies placental DNA methylation changes linked to maternal smoking during pregnancy and their associations with birth outcomes using data from the PACE consortium.

This study identifies DNA methylation changes in IBD linked to both genetic and environmental factors through meta-analysis of intestinal epithelial cell data.

MethylCal is a Bayesian tool that calibrates methylation levels by jointly analyzing CpGs in DMRs or CpG islands, improving accuracy in methylation quantification and clinical applications.