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1. Integrative multi-omics analyses to identify the genetic and functional mechanisms underlying ovarian cancer risk regions.

2. Correction: Polygenic risk modeling for prediction of epithelial ovarian cancer risk

3. Polygenic risk modeling for prediction of epithelial ovarian cancer risk

4. Evaluation of vitamin D biosynthesis and pathway target genes reveals UGT2A1/2 and EGFR polymorphisms associated with epithelial ovarian cancer in African American Women

14. Identification of 12 new susceptibility loci for different histotypes of epithelial ovarian cancer

16. Polygenic risk modeling for prediction of epithelial ovarian cancer risk

17. Whole-Genome Sequencing Identifies PPARGC1A as a Putative Modifier of Cancer Risk in BRCA1/2 Mutation Carriers

18. IDO1 Expression in Ovarian Cancer Induces PD-1 in T Cells via Aryl Hydrocarbon Receptor Activation

20. Indoleamine 2,3-dioxygenase upregulates PD-1 expression on ovarian tumor infiltrating CD8+ T cells via kynurenine activation of the aryl hydrocarbon receptor

24. Whole‐exome sequencing of ovarian cancer families uncovers putative predisposition genes

27. Whole‐exome sequencing of ovarian cancer families uncovers putative predisposition genes.

29. Identification of 12 new susceptibility loci for different histotypes of epithelial ovarian cancer

30. Paternal lineage early onset hereditary ovarian cancers: A Familial Ovarian Cancer Registry study

32. Identification of 12 new susceptibility loci for different histotypes of epithelial ovarian cancer

46. Mouse ST6Gal sialyltransferasegene expression during mammary gland lactation.

47. Murine B cell differentiation is accompanied by programmed expression of multiple novel β-galactoside α2,6-sialyltransferase mRNA forms.

49. Dysregulation of Purine Nucleotide Biosynthesis Pathways Modulates Cisplatin Cytotoxicity in Saccharomyces cerevisiae▪

50. Polygenic Risk Modelling for Prediction of Epithelial Ovarian Cancer Risk

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