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A Systematic Two-Sample Mendelian Randomization Analysis Identifies Shared Genetic Origin of Endometriosis and Associated Phenotypes

Endometriosis, one of the most common gynecological disorders, is a complex disease characterized by the growth of endometrial-like tissue in extra-uterine locations and is a cause of pelvic pain and infertility. Evidence from observational studies indicate that endometriosis usually appears togethe...

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Autores principales: Garitazelaia, Aiara, Rueda-Martínez, Aintzane, Arauzo, Rebeca, de Miguel, Jokin, Cilleros-Portet, Ariadna, Marí, Sergi, Bilbao, Jose Ramon, Fernandez-Jimenez, Nora, García-Santisteban, Iraia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7824623/
https://www.ncbi.nlm.nih.gov/pubmed/33401535
http://dx.doi.org/10.3390/life11010024
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author Garitazelaia, Aiara
Rueda-Martínez, Aintzane
Arauzo, Rebeca
de Miguel, Jokin
Cilleros-Portet, Ariadna
Marí, Sergi
Bilbao, Jose Ramon
Fernandez-Jimenez, Nora
García-Santisteban, Iraia
author_facet Garitazelaia, Aiara
Rueda-Martínez, Aintzane
Arauzo, Rebeca
de Miguel, Jokin
Cilleros-Portet, Ariadna
Marí, Sergi
Bilbao, Jose Ramon
Fernandez-Jimenez, Nora
García-Santisteban, Iraia
author_sort Garitazelaia, Aiara
collection PubMed
description Endometriosis, one of the most common gynecological disorders, is a complex disease characterized by the growth of endometrial-like tissue in extra-uterine locations and is a cause of pelvic pain and infertility. Evidence from observational studies indicate that endometriosis usually appears together with several other phenotypes. These include a list of autoimmune diseases, most of them more prevalent in women, anthropometric traits associated with leanness in the adulthood, as well as female reproductive traits, including altered hormone levels and those associated with a prolonged exposure to menstruation. However, the biological mechanisms underlying their co-morbidity remains unknown. To explore whether those phenotypes and endometriosis share a common genetic origin, we performed a systematic Two-Sample Mendelian Randomization (2SMR) analysis using public GWAS data. Our results suggest potential common genetic roots between endometriosis and female anthropometric and reproductive traits. Particularly, our data suggests that reduced weight and BMI might be mediating the genetic susceptibility to suffer endometriosis. Furthermore, data on female reproductive traits strongly suggest that genetic variants that predispose to a more frequent exposure to menstruation, through earlier age at menarche and shorter menstrual cycles, might also increase the risk to suffer from endometriosis.
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spelling pubmed-78246232021-01-24 A Systematic Two-Sample Mendelian Randomization Analysis Identifies Shared Genetic Origin of Endometriosis and Associated Phenotypes Garitazelaia, Aiara Rueda-Martínez, Aintzane Arauzo, Rebeca de Miguel, Jokin Cilleros-Portet, Ariadna Marí, Sergi Bilbao, Jose Ramon Fernandez-Jimenez, Nora García-Santisteban, Iraia Life (Basel) Article Endometriosis, one of the most common gynecological disorders, is a complex disease characterized by the growth of endometrial-like tissue in extra-uterine locations and is a cause of pelvic pain and infertility. Evidence from observational studies indicate that endometriosis usually appears together with several other phenotypes. These include a list of autoimmune diseases, most of them more prevalent in women, anthropometric traits associated with leanness in the adulthood, as well as female reproductive traits, including altered hormone levels and those associated with a prolonged exposure to menstruation. However, the biological mechanisms underlying their co-morbidity remains unknown. To explore whether those phenotypes and endometriosis share a common genetic origin, we performed a systematic Two-Sample Mendelian Randomization (2SMR) analysis using public GWAS data. Our results suggest potential common genetic roots between endometriosis and female anthropometric and reproductive traits. Particularly, our data suggests that reduced weight and BMI might be mediating the genetic susceptibility to suffer endometriosis. Furthermore, data on female reproductive traits strongly suggest that genetic variants that predispose to a more frequent exposure to menstruation, through earlier age at menarche and shorter menstrual cycles, might also increase the risk to suffer from endometriosis. MDPI 2021-01-03 /pmc/articles/PMC7824623/ /pubmed/33401535 http://dx.doi.org/10.3390/life11010024 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Garitazelaia, Aiara
Rueda-Martínez, Aintzane
Arauzo, Rebeca
de Miguel, Jokin
Cilleros-Portet, Ariadna
Marí, Sergi
Bilbao, Jose Ramon
Fernandez-Jimenez, Nora
García-Santisteban, Iraia
A Systematic Two-Sample Mendelian Randomization Analysis Identifies Shared Genetic Origin of Endometriosis and Associated Phenotypes
title A Systematic Two-Sample Mendelian Randomization Analysis Identifies Shared Genetic Origin of Endometriosis and Associated Phenotypes
title_full A Systematic Two-Sample Mendelian Randomization Analysis Identifies Shared Genetic Origin of Endometriosis and Associated Phenotypes
title_fullStr A Systematic Two-Sample Mendelian Randomization Analysis Identifies Shared Genetic Origin of Endometriosis and Associated Phenotypes
title_full_unstemmed A Systematic Two-Sample Mendelian Randomization Analysis Identifies Shared Genetic Origin of Endometriosis and Associated Phenotypes
title_short A Systematic Two-Sample Mendelian Randomization Analysis Identifies Shared Genetic Origin of Endometriosis and Associated Phenotypes
title_sort systematic two-sample mendelian randomization analysis identifies shared genetic origin of endometriosis and associated phenotypes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7824623/
https://www.ncbi.nlm.nih.gov/pubmed/33401535
http://dx.doi.org/10.3390/life11010024
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