Ignasi Morán

This study uses sex-stratified GWAS and explainable AI to identify 184 genes associated with T2D subtypes and improve risk detection.

The paper identifies splicing QTLs in human pancreatic islets that contribute to type 2 diabetes susceptibility by affecting gene splicing and revealing novel molecular mechanisms.

The paper creates TIGER, a resource integrating RNA-seq and genotyping data from human pancreatic islets to identify eQTLs and their associations with type 2 diabetes.

The paper identifies common polymorphic inversions associated with multiple common diseases and suggests their role in shared genetic susceptibility.

The paper links diabetes-associated enhancers with their target genes using 3D chromatin architecture in human pancreatic islets, revealing genetic variants that impact insulin secretion heritability.

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

This study identifies β cell-specific lncRNAs that regulate transcriptional networks and show dysregulation in type 2 diabetes.