Integrative multi-omics analyses to identify the genetic and functional mechanisms underlying ovarian cancer risk regions
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 and 105,724 controls of European origin. We identified five histotype-specific EOC risk regions (p value <5 × 10
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Identifying new drivers of ovarian cancer from the non-coding genome by converging germline risk variants and somatic mutationsFunctional Effects of Ovarian Cancer Risk VariantsThe Role of Splice Quantitative Traits in Ovarian Cancer PathogenesisCancer Risk Assessment, Early Detection, and Interception Research ProgramRelating Molecular Subgroups of Endometriosis-Associated Ovarian Cancers to Survival and RiskEpidemiology and biology of lncRNAs in ovarian cancerNCI NIH HHS Grant R01 CA211575Impact of Oncologic Therapy on Clonal Hematopoiesis and Subsequent Risk of Therapy-Related LeukemiaProject 2: Next Generation TOP1 Inhibition for the Treatment of Ovarian CancerIdentifying causal variants and genes underlying breast cancer risk lociUT Health San Antonio FundingCedars-Sinai Medical Center FundingNational Institutes of Health FundingNational Cancer Institute Grant R01CA211575Epidemiology and biology of lncRNAs in ovarian cancerIdentifying causal variants and genes underlying breast cancer risk lociThe Role of Splice Quantitative Traits in Ovarian Cancer PathogenesisFunctional Effects of Ovarian Cancer Risk VariantsIdentifying new drivers of ovarian cancer from the non-coding genome by converging germline risk variants and somatic mutationsNational Cancer Institute Grant U19C8804/A7058