↓ Skip to main content

The genetic basis of endometriosis and comorbidity with other pain and inflammatory conditions

Overview of attention for article published in Nature Genetics, March 2023
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
61 news outlets
blogs
12 blogs
policy
1 policy source
twitter
195 X users
facebook
2 Facebook pages
reddit
1 Redditor

Citations

dimensions_citation
60 Dimensions

Readers on

mendeley
146 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
The genetic basis of endometriosis and comorbidity with other pain and inflammatory conditions
Published in
Nature Genetics, March 2023
DOI 10.1038/s41588-023-01323-z
Pubmed ID
Authors

Nilufer Rahmioglu, Sally Mortlock, Marzieh Ghiasi, Peter L. Møller, Lilja Stefansdottir, Geneviève Galarneau, Constance Turman, Rebecca Danning, Matthew H. Law, Yadav Sapkota, Paraskevi Christofidou, Sini Skarp, Ayush Giri, Karina Banasik, Michal Krassowski, Maarja Lepamets, Błażej Marciniak, Margit Nõukas, Danielle Perro, Eeva Sliz, Marta Sobalska-Kwapis, Gudmar Thorleifsson, Nura F. Topbas-Selcuki, Allison Vitonis, David Westergaard, Ragnheidur Arnadottir, Kristoffer S. Burgdorf, Archie Campbell, Cecilia S. K. Cheuk, Caterina Clementi, James Cook, Immaculata De Vivo, Amy DiVasta, O. Dorien, Jacqueline F. Donoghue, Todd Edwards, Pierre Fontanillas, Jenny N. Fung, Reynir T. Geirsson, Jane E. Girling, Paivi Harkki, Holly R. Harris, Martin Healey, Oskari Heikinheimo, Sarah Holdsworth-Carson, Isabel C. Hostettler, Henry Houlden, Sahar Houshdaran, Juan C. Irwin, Marjo-Riitta Jarvelin, Yoichiro Kamatani, Stephen H. Kennedy, Ewa Kepka, Johannes Kettunen, Michiaki Kubo, Bartosz Kulig, Venla Kurra, Hannele Laivuori, Marc R. Laufer, Cecilia M. Lindgren, Stuart MacGregor, Massimo Mangino, Nicholas G. Martin, Charoula Matalliotaki, Michail Matalliotakis, Alison D. Murray, Anne Ndungu, Camran Nezhat, Catherine M. Olsen, Jessica Opoku-Anane, Sandosh Padmanabhan, Manish Paranjpe, Maire Peters, Grzegorz Polak, David J. Porteous, Joseph Rabban, Kathyrn M. Rexrode, Hanna Romanowicz, Merli Saare, Liisu Saavalainen, Andrew J. Schork, Sushmita Sen, Amy L. Shafrir, Anna Siewierska-Górska, Marcin Słomka, Blair H. Smith, Beata Smolarz, Tomasz Szaflik, Krzysztof Szyłło, Atsushi Takahashi, Kathryn L. Terry, Carla Tomassetti, Susan A. Treloar, Arne Vanhie, Katy Vincent, Kim C. Vo, David J. Werring, Eleftheria Zeggini, Maria I. Zervou, Sosuke Adachi, Julie E. Buring, Paul M. Ridker, Thomas D’Hooghe, George N. Goulielmos, Dharani K. Hapangama, Caroline Hayward, Andrew W. Horne, Siew-Kee Low, Hannu Martikainen, Daniel I. Chasman, Peter A. W. Rogers, Philippa T. Saunders, Marina Sirota, Tim Spector, Dominik Strapagiel, Joyce Y. Tung, David C. Whiteman, Linda C. Giudice, Digna R. Velez-Edwards, Outi Uimari, Peter Kraft, Andres Salumets, Dale R. Nyholt, Reedik Mägi, Kari Stefansson, Christian M. Becker, Piraye Yurttas-Beim, Valgerdur Steinthorsdottir, Mette Nyegaard, Stacey A. Missmer, Grant W. Montgomery, Andrew P. Morris, Krina T. Zondervan

Abstract

Endometriosis is a common condition associated with debilitating pelvic pain and infertility. A genome-wide association study meta-analysis, including 60,674 cases and 701,926 controls of European and East Asian descent, identified 42 genome-wide significant loci comprising 49 distinct association signals. Effect sizes were largest for stage 3/4 disease, driven by ovarian endometriosis. Identified signals explained up to 5.01% of disease variance and regulated expression or methylation of genes in endometrium and blood, many of which were associated with pain perception/maintenance (SRP14/BMF, GDAP1, MLLT10, BSN and NGF). We observed significant genetic correlations between endometriosis and 11 pain conditions, including migraine, back and multisite chronic pain (MCP), as well as inflammatory conditions, including asthma and osteoarthritis. Multitrait genetic analyses identified substantial sharing of variants associated with endometriosis and MCP/migraine. Targeted investigations of genetically regulated mechanisms shared between endometriosis and other pain conditions are needed to aid the development of new treatments and facilitate early symptomatic intervention.

X Demographics

X Demographics

The data shown below were collected from the profiles of 195 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 146 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 10%
Unspecified 11 8%
Student > Bachelor 11 8%
Student > Master 10 7%
Student > Ph. D. Student 8 5%
Other 18 12%
Unknown 74 51%
Readers by discipline Count As %
Medicine and Dentistry 21 14%
Unspecified 13 9%
Biochemistry, Genetics and Molecular Biology 13 9%
Neuroscience 7 5%
Agricultural and Biological Sciences 4 3%
Other 11 8%
Unknown 77 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 611. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 April 2024.
All research outputs
#37,774
of 25,779,988 outputs
Outputs from Nature Genetics
#55
of 7,623 outputs
Outputs of similar age
#1,011
of 428,287 outputs
Outputs of similar age from Nature Genetics
#1
of 73 outputs
Altmetric has tracked 25,779,988 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,623 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.7. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 428,287 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.