<p>Epithelial ovarian cancer is a highly fatal malignancy with known genetic etiology; however, it is estimated that a substantial portion of narrow sense heritability remains to be discovered. The goal of this research was to use genetic information from distantly related ovarian cancer cases to identify regions of the genome that may harbor rare risk variants for epithelial ovarian cancer. The study was conducted in the setting of the Utah Population Database, a statewide data resource in which extensive ancestry data are linked to Utah Cancer Registry records. Focusing on families with a statistically significant excess risk of epithelial ovarian cancer, we used the Infinium Global Screening Array v.3.0 to generate germline genotyping data for distantly related cases. We then applied <a href="https://uofuhealth.utah.edu/huntsman/labs/camp/analysis-tool/shared-genomic-segment">Shared Genomic Segment Analysis</a> to each set of related cases to identify genomic regions that may harbor ovarian cancer risk variants. Eleven regions were identified. Genotype data are available through dbGaP for one case from each pedigree. Genotype data from other ovarian cancer cases within the high-risk pedigrees as well as the pedigrees' corresponding structures can be requested and made available with approval from the Utah Resource for Genetic and Epidemiologic Research (RGE).</p>

Genetic Epidemiology of Ovarian Cancer Histotypes

14 variables across Demographics, Disease Events, Race and Ethnicity

Genetic Epidemiology of Ovarian Cancer Histotypes

Demographics (2)

Disease Events (1)

Race and Ethnicity (2)

Other (9)