↓ Skip to main content

Epigenetic analysis leads to identification of HNF1B as a subtype-specific susceptibility gene for ovarian cancer

Overview of attention for article published in Nature Communications, March 2013
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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
14 news outlets
blogs
1 blog
twitter
6 X users
facebook
1 Facebook page
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
148 Dimensions

Readers on

mendeley
161 Mendeley
citeulike
2 CiteULike
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
Epigenetic analysis leads to identification of HNF1B as a subtype-specific susceptibility gene for ovarian cancer
Published in
Nature Communications, March 2013
DOI 10.1038/ncomms2629
Pubmed ID
Authors

Hui Shen, Brooke L. Fridley, Honglin Song, Kate Lawrenson, Julie M. Cunningham, Susan J. Ramus, Mine S. Cicek, Jonathan Tyrer, Douglas Stram, Melissa C. Larson, Martin Köbel, Argyrios Ziogas, Wei Zheng, Hannah P. Yang, Anna H. Wu, Eva L. Wozniak, Yin Ling Woo, Boris Winterhoff, Elisabeth Wik, Alice S. Whittemore, Nicolas Wentzensen, Rachel Palmieri Weber, Allison F. Vitonis, Daniel Vincent, Robert A. Vierkant, Ignace Vergote, David Van Den Berg, Anne M. Van Altena, Shelley S. Tworoger, Pamela J. Thompson, Daniel C. Tessier, Kathryn L. Terry, Soo-Hwang Teo, Claire Templeman, Daniel O. Stram, Melissa C. Southey, Weiva Sieh, Nadeem Siddiqui, Yurii B. Shvetsov, Xiao-Ou Shu, Viji Shridhar, Shan Wang-Gohrke, Gianluca Severi, Ira Schwaab, Helga B. Salvesen, Iwona K. Rzepecka, Ingo B. Runnebaum, Mary Anne Rossing, Lorna Rodriguez-Rodriguez, Harvey A. Risch, Stefan P. Renner, Elizabeth M. Poole, Malcolm C. Pike, Catherine M. Phelan, Liisa M. Pelttari, Tanja Pejovic, James Paul, Irene Orlow, Siti Zawiah Omar, Sara H. Olson, Kunle Odunsi, Stefan Nickels, Heli Nevanlinna, Roberta B. Ness, Steven A. Narod, Toru Nakanishi, Kirsten B. Moysich, Alvaro N.A. Monteiro, Joanna Moes-Sosnowska, Francesmary Modugno, Usha Menon, John R. McLaughlin, Valerie McGuire, Keitaro Matsuo, Noor Azmi Mat Adenan, Leon F.A.G Massuger, Galina Lurie, Lene Lundvall, Jan Lubiński, Jolanta Lissowska, Douglas A. Levine, Arto Leminen, Alice W. Lee, Nhu D. Le, Sandrina Lambrechts, Diether Lambrechts, Jolanta Kupryjanczyk, Camilla Krakstad, Gottfried E. Konecny, Susanne Krüger Kjaer, Lambertus A. Kiemeney, Linda E. Kelemen, Gary L. Keeney, Beth Y. Karlan, Rod Karevan, Kimberly R. Kalli, Hiroaki Kajiyama, Bu-Tian Ji, Allan Jensen, Anna Jakubowska, Edwin Iversen, Satoyo Hosono, Claus K. Høgdall, Estrid Høgdall, Maureen Hoatlin, Peter Hillemanns, Florian Heitz, Rebecca Hein, Philipp Harter, Mari K. Halle, Per Hall, Jacek Gronwald, Martin Gore, Marc T. Goodman, Graham G. Giles, Aleksandra Gentry-Maharaj, Montserrat Garcia-Closas, James M. Flanagan, Peter A. Fasching, Arif B. Ekici, Robert Edwards, Diana Eccles, Douglas F. Easton, Matthias Dürst, Andreas du Bois, Thilo Dörk, Jennifer A. Doherty, Evelyn Despierre, Agnieszka Dansonka-Mieszkowska, Cezary Cybulski, Daniel W. Cramer, Linda S. Cook, Xiaoqing Chen, Bridget Charbonneau, Jenny Chang-Claude, Ian Campbell, Ralf Butzow, Clareann H. Bunker, Doerthe Brueggmann, Robert Brown, Angela Brooks-Wilson, Louise A. Brinton, Natalia Bogdanova, Matthew S. Block, Elizabeth Benjamin, Jonathan Beesley, Matthias W. Beckmann, Elisa V. Bandera, Laura Baglietto, François Bacot, Sebastian M. Armasu, Natalia Antonenkova, Hoda Anton-Culver, Katja K. Aben, Dong Liang, Xifeng Wu, Karen Lu, Michelle A.T. Hildebrandt, Joellen M. Schildkraut, Thomas A. Sellers, David Huntsman, Andrew Berchuck, Georgia Chenevix-Trench, Simon A. Gayther, Paul D.P. Pharoah, Peter W. Laird, Ellen L. Goode, Celeste Leigh Pearce

Abstract

HNF1B is overexpressed in clear cell epithelial ovarian cancer, and we observed epigenetic silencing in serous epithelial ovarian cancer, leading us to hypothesize that variation in this gene differentially associates with epithelial ovarian cancer risk according to histological subtype. Here we comprehensively map variation in HNF1B with respect to epithelial ovarian cancer risk and analyse DNA methylation and expression profiles across histological subtypes. Different single-nucleotide polymorphisms associate with invasive serous (rs7405776 odds ratio (OR)=1.13, P=3.1 × 10(-10)) and clear cell (rs11651755 OR=0.77, P=1.6 × 10(-8)) epithelial ovarian cancer. Risk alleles for the serous subtype associate with higher HNF1B-promoter methylation in these tumours. Unmethylated, expressed HNF1B, primarily present in clear cell tumours, coincides with a CpG island methylator phenotype affecting numerous other promoters throughout the genome. Different variants in HNF1B associate with risk of serous and clear cell epithelial ovarian cancer; DNA methylation and expression patterns are also notably distinct between these subtypes. These findings underscore distinct mechanisms driving different epithelial ovarian cancer histological subtypes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 161 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Netherlands 1 <1%
Austria 1 <1%
Czechia 1 <1%
Finland 1 <1%
Belgium 1 <1%
Japan 1 <1%
Unknown 153 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 22%
Student > Ph. D. Student 23 14%
Student > Bachelor 17 11%
Professor > Associate Professor 14 9%
Professor 13 8%
Other 32 20%
Unknown 27 17%
Readers by discipline Count As %
Medicine and Dentistry 40 25%
Agricultural and Biological Sciences 34 21%
Biochemistry, Genetics and Molecular Biology 34 21%
Pharmacology, Toxicology and Pharmaceutical Science 5 3%
Engineering 3 2%
Other 12 7%
Unknown 33 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 131. 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 January 2021.
All research outputs
#323,076
of 25,837,817 outputs
Outputs from Nature Communications
#4,927
of 58,118 outputs
Outputs of similar age
#2,094
of 212,550 outputs
Outputs of similar age from Nature Communications
#18
of 312 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 58,118 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.5. This one has done particularly well, scoring higher than 91% 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 212,550 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 98% of its contemporaries.
We're also able to compare this research output to 312 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 94% of its contemporaries.