Summary statistics from Stage-1 GWAS for blood pressure phenotypes
BAM files for two WES TRAIP patients
Whole genome sequencing for individualized cancer interpretation
This study investigates genetic dependencies and resistance mechanisms to Werner helicase inhibitors (WRNi) in microsatellite-unstable (MSI) cancer models. To define determinants of WRN dependency and acquired resistance, we performed genome-wide CRISPR-Cas9 knockout screens, CRISPR base-editing mutagenesis screens targeting WRN, targeted sequencing of resistance-associated variants, bulk RNA sequencing, and whole-genome sequencing. The datasets deposited in EGA comprise raw sequencing files from CRISPR-Cas9 knockout screens, CRISPR base-editing screens, targeted DNA sequencing, RNA-seq experiments, and whole-genome sequencing of parental and drug-treated cell populations, including models with spontaneously acquired resistance. These data enable investigation of WRN synthetic lethality, genetic modifiers of WRNi response, and genomic alterations emerging under selective pressure.
Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 628 samples; filetype=bam
Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 596 samples; filetype=bam
Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 1735 samples; filetype=bam