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Identification of a novel susceptibility locus at 13q34 and refinement of the 20p12.2 region as a multi-signal locus associated with bladder cancer risk in individuals of European ancestry

Overview of attention for article published in Human Molecular Genetics, January 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

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1 news outlet
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3 X users
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Citations

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34 Dimensions

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78 Mendeley
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Title
Identification of a novel susceptibility locus at 13q34 and refinement of the 20p12.2 region as a multi-signal locus associated with bladder cancer risk in individuals of European ancestry
Published in
Human Molecular Genetics, January 2016
DOI 10.1093/hmg/ddv492
Pubmed ID
Authors

Jonine D Figueroa, Candace D Middlebrooks, A Rouf Banday, Yuanqing Ye, Montserrat Garcia-Closas, Nilanjan Chatterjee, Stella Koutros, Lambertus A Kiemeney, Thorunn Rafnar, Timothy Bishop, Helena Furberg, Giuseppe Matullo, Klaus Golka, Manuela Gago-Dominguez, Jack A Taylor, Tony Fletcher, Afshan Siddiq, Victoria K Cortessis, Charles Kooperberg, Olivier Cussenot, Simone Benhamou, Jennifer Prescott, Stefano Porru, Colin P Dinney, Núria Malats, Dalsu Baris, Mark P Purdue, Eric J Jacobs, Demetrius Albanes, Zhaoming Wang, Charles C Chung, Sita H Vermeulen, Katja K Aben, Tessel E Galesloot, Gudmar Thorleifsson, Patrick Sulem, Kari Stefansson, Anne E Kiltie, Mark Harland, Mark Teo, Kenneth Offit, Joseph Vijai, Dean Bajorin, Ryan Kopp, Giovanni Fiorito, Simonetta Guarrera, Carlotta Sacerdote, Silvia Selinski, Jan G Hengstler, Holger Gerullis, Daniel Ovsiannikov, Meinolf Blaszkewicz, Jose Esteban Castelao, Manuel Calaza, Maria Elena Martinez, Patricia Cordeiro, Zongli Xu, Vijayalakshmi Panduri, Rajiv Kumar, Eugene Gurzau, Kvetoslava Koppova, H Bas Bueno-De-Mesquita, Börje Ljungberg, Françoise Clavel-Chapelon, Elisabete Weiderpass, Vittorio Krogh, Miren Dorronsoro, Ruth C Travis, Anne Tjønneland, Paul Brennan, Jenny Chang-Claude, Elio Riboli, David Conti, Marianna C Stern, Malcolm C Pike, David Van Den Berg, Jian-Min Yuan, Chancellor Hohensee, Rebecca P Jeppson, Geraldine Cancel-Tassin, Morgan Roupret, Eva Comperat, Constance Turman, Immaculata De Vivo, Edward Giovannucci, David J Hunter, Peter Kraft, Sara Lindstrom, Angela Carta, Sofia Pavanello, Cecilia Arici, Giuseppe Mastrangelo, Ashish M Kamat, Liren Zhang, Yilei Gong, Xia Pu, Amy Hutchinson, Laurie Burdett, William A Wheeler, Margaret R Karagas, Alison Johnson, Alan Schned, G M Monawar Hosain, Molly Schwenn, Manolis Kogevinas, Adonina Tardón, Consol Serra, Alfredo Carrato, Reina García-Closas, Josep Lloreta, Gerald Andriole, Robert Grubb, Amanda Black, W Ryan Diver, Susan M Gapstur, Stephanie Weinstein, Jarmo Virtamo, Christopher A Haiman, Maria Teresa Landi, Neil E Caporaso, Joseph F Fraumeni, Paolo Vineis, Xifeng Wu, Stephen J Chanock, Debra T Silverman, Ludmila Prokunina-Olsson, Nathaniel Rothman

Abstract

Candidate gene and genome-wide association studies (GWAS) have identified 15 independent genomic regions associated with bladder cancer risk. In search for additional susceptibility variants, we followed up on four promising single nucleotide polymorphisms (SNPs) that had not achieved genome-wide significance in 6,911 cases and 11,814 controls (rs6104690, rs4510656, rs5003154 and rs4907479, P<1×10(-6)), using additional data from existing GWAS datasets and targeted genotyping for studies that did not have GWAS data. In a combined analysis, which included data on up to 15,058 cases and 286,270 controls, two SNPs achieved genome-wide statistical significance: rs6104690 in a gene desert at 20p12.2 (P=2.19×10(-11)) and rs4907479 within the MCF2L gene at 13q34 (P=3.3×10(-10)). Imputation and fine-mapping analyses were performed in these two regions for a subset of 5,551 bladder cancer cases and 10,242 controls. Analyses at the 13q34 region suggest a single signal marked by rs4907479. In contrast, we detected two signals in the 20p12.2 region - the first signal is marked by rs6104690 and the second signal is marked by two moderately correlated SNPs (r(2)=0.53), rs6108803 and the previously reported rs62185668. The second 20p12.2 signal is more strongly associated with the risk of muscle-invasive (T2-T4 stage) compared to non-muscle-invasive (Ta, T1 stage) bladder cancer (case-case P<0.02 for both rs62185668 and rs6108803). Functional analyses are needed to explore the biological mechanisms underlying these novel genetic associations with risk for bladder cancer.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 78 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 22%
Student > Master 9 12%
Professor 8 10%
Other 5 6%
Librarian 4 5%
Other 9 12%
Unknown 26 33%
Readers by discipline Count As %
Medicine and Dentistry 24 31%
Biochemistry, Genetics and Molecular Biology 12 15%
Agricultural and Biological Sciences 3 4%
Environmental Science 2 3%
Social Sciences 2 3%
Other 6 8%
Unknown 29 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 15 March 2016.
All research outputs
#3,005,146
of 24,598,501 outputs
Outputs from Human Molecular Genetics
#1,042
of 8,215 outputs
Outputs of similar age
#50,252
of 403,655 outputs
Outputs of similar age from Human Molecular Genetics
#56
of 125 outputs
Altmetric has tracked 24,598,501 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,215 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has done well, scoring higher than 86% 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 403,655 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 125 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.