Patrick Blaney

This study analyzes whole-genome sequencing data from multiple myeloma patients to show that the timing of genetic events, not just their presence, affects clinical outcomes.

This study shows copy number signatures predict chromothripsis in multiple myeloma and link to poor clinical outcomes using whole genome and exome sequencing data.

This study identifies 100 SV hotspots and 31 new candidate driver genes in multiple myeloma, revealing that 63% of SVs remain unexplained and are associated with outlier gene expression.