Mahdi Moradi Marjaneh

The paper identifies 44 multi-cancer risk regions across four hormone-dependent cancers using GWAS and 3D chromatin mapping, annotating 53 candidate risk genes with potential therapeutic implications.

This study identifies genetic and molecular factors underlying atrial septal defects in mice using QTL mapping and transcriptome analysis, revealing complex networks and non-coding variants involved.

scFlow provides a scalable, reproducible pipeline for analyzing single-cell RNA-seq data, demonstrating its utility with public datasets and extensibility as an open-source tool.

The paper maps chromatin interactions at 139 breast cancer risk signals using Capture Hi-C and identifies candidate target genes and functional mechanisms.

This study fine-maps 150 breast cancer risk regions to identify 178 high confidence target genes using genomic and functional annotations.

The paper identifies 14 genes, including NTN4, associated with breast cancer risk variants through allelic expression imbalance analysis.