Usha Menon

The paper uses methylation patterns in the protocadherin gene cluster to track clonal dynamics across human tissues over time, revealing subclonal architectures and cryptic expansions not detectable by standard mutation sequencing.

The paper tracks DNA methylation changes in blood samples up to 15 years before AML diagnosis, identifying DMRs linked to clonal expansions and epigenetic reprogramming.

This study uses serial blood samples to analyze pre-cancerous evolutionary dynamics in acute myeloid leukaemia, showing how driver mutations accumulate and drive clonal expansion over decades.

This study identifies seven novel genetic loci associated with high-grade serous ovarian cancer risk using a large-scale GWAS and develops polygenic scores for improved risk prediction.

This study examines differences in polygenic risk score distributions across European populations and shows how country-specific calibration can improve breast cancer risk prediction.

The paper develops a multifactorial risk model for epithelial tubo-ovarian cancer incorporating genetic and epidemiological factors to stratify risk and guide screening.