Skip Navigation
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Your Environment. Your Health.

Publication Detail

Title: Evidence of a genetic link between endometriosis and ovarian cancer.

Authors: Lee, Alice W; Templeman, Claire; Stram, Douglas A; Beesley, Jonathan; Tyrer, Jonathan; Berchuck, Andrew; Pharoah, Paul P; Chenevix-Trench, Georgia; Pearce, Celeste Leigh; Ovarian Cancer Association Consortium

Published In Fertil Steril, (2016 Jan)

Abstract: To evaluate whether endometriosis-associated genetic variation affects risk of ovarian cancer.Pooled genetic analysis.University hospital.Genetic data from 46,176 participants (15,361 ovarian cancer cases and 30,815 controls) from 41 ovarian cancer studies.None.Endometriosis-associated genetic variation and ovarian cancer.There was significant evidence of an association between endometriosis-related genetic variation and ovarian cancer risk, especially for the high-grade serous and clear cell histotypes. Overall we observed 15 significant burden statistics, which was three times more than expected.By focusing on candidate regions from a phenotype associated with ovarian cancer, we have shown a clear genetic link between endometriosis and ovarian cancer that warrants further follow-up. The functional significance of the identified regions and SNPs is presently uncertain, though future fine mapping and histotype-specific functional analyses may shed light on the etiologies of both gynecologic conditions.

PubMed ID: 26477498 Exiting the NIEHS site

MeSH Terms: Case-Control Studies; Computational Biology; Databases, Genetic; Endometriosis/diagnosis; Endometriosis/genetics*; Female; Genetic Predisposition to Disease; Genome-Wide Association Study; Humans; Neoplasm Grading; Ovarian Neoplasms/diagnosis; Ovarian Neoplasms/genetics*; Phenotype; Polymorphism, Single Nucleotide*; Risk Assessment; Risk Factors

Back
to Top