Fabienne Lesueur

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.

The paper compares six network methods using GWAS data from the GENESIS study to identify breast cancer susceptibility genes, finding that network approaches improve results over standard GWAS.

This study identifies genetic risk loci for differentiated thyroid cancer in multiethnic populations, finding novel associations and allele frequency differences between Oceanian and European ancestry groups.

The paper evaluates the ACMG PP3 and BP4 rules using Align-GVGD on ATM and CHEK2 data, finding that severe Align-GVGD grades exceed a moderate pathogenic threshold in a Bayesian framework.