Hildebrandt MAT

No ORCID on file · 4 papers in corpus · active 2017-2024
2024
Integrative multi-omics analyses to identify the genetic and functional mechanisms underlying ovarian cancer risk regions.
American journal of human genetics ·doi:10.1016/j.ajhg.2024.04.011

To identify credible causal risk variants (CCVs) associated with different histotypes of epithelial ovarian cancer (EOC), we performed genome-wide association analysis for 470,825 genotyped and 10,163,797 imputed SNPs in 25,981 EOC cases an…

2022
Copy Number Variants Are Ovarian Cancer Risk Alleles at Known and Novel Risk Loci.
Journal of the National Cancer Institute ·doi:10.1093/jnci/djac160

BackgroundKnown risk alleles for epithelial ovarian cancer (EOC) account for approximately 40% of the heritability for EOC. Copy number variants (CNVs) have not been investigated as EOC risk alleles in a large population cohort.MethodsSingl…

2022
Polygenic risk modeling for prediction of epithelial ovarian cancer risk.
European journal of human genetics : EJHG ·doi:10.1038/s41431-021-00987-7

Polygenic risk scores (PRS) for epithelial ovarian cancer (EOC) have the potential to improve risk stratification. Joint estimation of Single Nucleotide Polymorphism (SNP) effects in models could improve predictive performance over standard…

2017
Identification of 12 new susceptibility loci for different histotypes of epithelial ovarian cancer.
Nature genetics ·doi:10.1038/ng.3826

To identify common alleles associated with different histotypes of epithelial ovarian cancer (EOC), we pooled data from multiple genome-wide genotyping projects totaling 25,509 EOC cases and 40,941 controls. We identified nine new susceptib…