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A multi-level investigation of the genetic relationship between endometriosis and ovarian cancer histotypes
Endometriosis is associated with increased risk of epithelial ovarian cancers (EOCs). Using data from large endometriosis and EOC genome-wide association meta-analyses, we estimate the genetic correlation and evaluate the causal relationship between genetic liability to endometriosis and EOC histoty...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9040176/ https://www.ncbi.nlm.nih.gov/pubmed/35492879 http://dx.doi.org/10.1016/j.xcrm.2022.100542 |
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author | Mortlock, Sally Corona, Rosario I. Kho, Pik Fang Pharoah, Paul Seo, Ji-Heui Freedman, Matthew L. Gayther, Simon A. Siedhoff, Matthew T. Rogers, Peter A.W. Leuchter, Ronald Walsh, Christine S. Cass, Ilana Karlan, Beth Y. Rimel, B.J. Montgomery, Grant W. Lawrenson, Kate Kar, Siddhartha P. |
author_facet | Mortlock, Sally Corona, Rosario I. Kho, Pik Fang Pharoah, Paul Seo, Ji-Heui Freedman, Matthew L. Gayther, Simon A. Siedhoff, Matthew T. Rogers, Peter A.W. Leuchter, Ronald Walsh, Christine S. Cass, Ilana Karlan, Beth Y. Rimel, B.J. Montgomery, Grant W. Lawrenson, Kate Kar, Siddhartha P. |
author_sort | Mortlock, Sally |
collection | PubMed |
description | Endometriosis is associated with increased risk of epithelial ovarian cancers (EOCs). Using data from large endometriosis and EOC genome-wide association meta-analyses, we estimate the genetic correlation and evaluate the causal relationship between genetic liability to endometriosis and EOC histotypes, and identify shared susceptibility loci. We estimate a significant genetic correlation (r(g)) between endometriosis and clear cell (r(g) = 0.71), endometrioid (r(g) = 0.48), and high-grade serous (r(g) = 0.19) ovarian cancer, associations supported by Mendelian randomization analyses. Bivariate meta-analysis identified 28 loci associated with both endometriosis and EOC, including 19 with evidence for a shared underlying association signal. Differences in the shared risk suggest different underlying pathways may contribute to the relationship between endometriosis and the different histotypes. Functional annotation using transcriptomic and epigenomic profiles of relevant tissues/cells highlights several target genes. This comprehensive analysis reveals profound genetic overlap between endometriosis and EOC histotypes with valuable genomic targets for understanding the biological mechanisms linking the diseases. |
format | Online Article Text |
id | pubmed-9040176 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-90401762022-04-27 A multi-level investigation of the genetic relationship between endometriosis and ovarian cancer histotypes Mortlock, Sally Corona, Rosario I. Kho, Pik Fang Pharoah, Paul Seo, Ji-Heui Freedman, Matthew L. Gayther, Simon A. Siedhoff, Matthew T. Rogers, Peter A.W. Leuchter, Ronald Walsh, Christine S. Cass, Ilana Karlan, Beth Y. Rimel, B.J. Montgomery, Grant W. Lawrenson, Kate Kar, Siddhartha P. Cell Rep Med Article Endometriosis is associated with increased risk of epithelial ovarian cancers (EOCs). Using data from large endometriosis and EOC genome-wide association meta-analyses, we estimate the genetic correlation and evaluate the causal relationship between genetic liability to endometriosis and EOC histotypes, and identify shared susceptibility loci. We estimate a significant genetic correlation (r(g)) between endometriosis and clear cell (r(g) = 0.71), endometrioid (r(g) = 0.48), and high-grade serous (r(g) = 0.19) ovarian cancer, associations supported by Mendelian randomization analyses. Bivariate meta-analysis identified 28 loci associated with both endometriosis and EOC, including 19 with evidence for a shared underlying association signal. Differences in the shared risk suggest different underlying pathways may contribute to the relationship between endometriosis and the different histotypes. Functional annotation using transcriptomic and epigenomic profiles of relevant tissues/cells highlights several target genes. This comprehensive analysis reveals profound genetic overlap between endometriosis and EOC histotypes with valuable genomic targets for understanding the biological mechanisms linking the diseases. Elsevier 2022-03-15 /pmc/articles/PMC9040176/ /pubmed/35492879 http://dx.doi.org/10.1016/j.xcrm.2022.100542 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Mortlock, Sally Corona, Rosario I. Kho, Pik Fang Pharoah, Paul Seo, Ji-Heui Freedman, Matthew L. Gayther, Simon A. Siedhoff, Matthew T. Rogers, Peter A.W. Leuchter, Ronald Walsh, Christine S. Cass, Ilana Karlan, Beth Y. Rimel, B.J. Montgomery, Grant W. Lawrenson, Kate Kar, Siddhartha P. A multi-level investigation of the genetic relationship between endometriosis and ovarian cancer histotypes |
title | A multi-level investigation of the genetic relationship between endometriosis and ovarian cancer histotypes |
title_full | A multi-level investigation of the genetic relationship between endometriosis and ovarian cancer histotypes |
title_fullStr | A multi-level investigation of the genetic relationship between endometriosis and ovarian cancer histotypes |
title_full_unstemmed | A multi-level investigation of the genetic relationship between endometriosis and ovarian cancer histotypes |
title_short | A multi-level investigation of the genetic relationship between endometriosis and ovarian cancer histotypes |
title_sort | multi-level investigation of the genetic relationship between endometriosis and ovarian cancer histotypes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9040176/ https://www.ncbi.nlm.nih.gov/pubmed/35492879 http://dx.doi.org/10.1016/j.xcrm.2022.100542 |
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