Genetic Contribution of Endometriosis to the Risk of Developing Hormone-Related Cancers

Endometriosis is a common gynecological disorder that has been associated with endometrial, breast and epithelial ovarian cancers in epidemiological studies. Since complex diseases are a result of multiple environmental and genetic factors, we hypothesized that the biological mechanism underlying th...

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Detalles Bibliográficos
Autores: Rueda Martínez, Aintzane, Garitazelaia González, Aiara, Cilleros Portet, Ariadna, Marí Alemany, Sergi, Arauzo, Rebeca, De Miguel, Jokin, González García, Bárbara P., Fernández Jiménez, Nora, Bilbao Catalá, José Ramón, García Santisteban, Iraia
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universidad del País Vasco
Repositorio:Addi. Archivo Digital para la Docencia y la Investigación
OAI Identifier:oai:addi.ehu.eus:10810/51967
Acceso en línea:http://hdl.handle.net/10810/51967
Access Level:acceso abierto
Palabra clave:endometriosis
hormone-related cancers
epithelial ovarian cancer
breast cancer
endometrial cancer
mendelian randomization
Descripción
Sumario:Endometriosis is a common gynecological disorder that has been associated with endometrial, breast and epithelial ovarian cancers in epidemiological studies. Since complex diseases are a result of multiple environmental and genetic factors, we hypothesized that the biological mechanism underlying their comorbidity might be explained, at least in part, by shared genetics. To assess their potential genetic relationship, we performed a two-sample mendelian randomization (2SMR) analysis on results from public genome-wide association studies (GWAS). This analysis confirmed previously reported genetic pleiotropy between endometriosis and endometrial cancer. We present robust evidence supporting a causal genetic association between endometriosis and ovarian cancer, particularly with the clear cell and endometrioid subtypes. Our study also identified genetic variants that could explain those associations, opening the door to further functional experiments. Overall, this work demonstrates the value of genomic analyses to support epidemiological data, and to identify targets of relevance in multiple disorders.