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Genome-wide association study identifies multiple risk loci for chronic lymphocytic leukemia

Overview of attention for article published in Nature Genetics, June 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
4 tweeters

Citations

dimensions_citation
122 Dimensions

Readers on

mendeley
181 Mendeley
citeulike
2 CiteULike
Title
Genome-wide association study identifies multiple risk loci for chronic lymphocytic leukemia
Published in
Nature Genetics, June 2013
DOI 10.1038/ng.2652
Pubmed ID
Authors

Sonja I Berndt, Christine F Skibola, Vijai Joseph, Nicola J Camp, Alexandra Nieters, Zhaoming Wang, Wendy Cozen, Alain Monnereau, Sophia S Wang, Rachel S Kelly, Qing Lan, Lauren R Teras, Nilanjan Chatterjee, Charles C Chung, Meredith Yeager, Angela R Brooks-Wilson, Patricia Hartge, Mark P Purdue, Brenda M Birmann, Bruce K Armstrong, Pierluigi Cocco, Yawei Zhang, Gianluca Severi, Anne Zeleniuch-Jacquotte, Charles Lawrence, Laurie Burdette, Jeffrey Yuenger, Amy Hutchinson, Kevin B Jacobs, Timothy G Call, Tait D Shanafelt, Anne J Novak, Neil E Kay, Mark Liebow, Alice H Wang, Karin E Smedby, Hans-Olov Adami, Mads Melbye, Bengt Glimelius, Ellen T Chang, Martha Glenn, Karen Curtin, Lisa A Cannon-Albright, Brandt Jones, W Ryan Diver, Brian K Link, George J Weiner, Lucia Conde, Paige M Bracci, Jacques Riby, Elizabeth A Holly, Martyn T Smith, Rebecca D Jackson, Lesley F Tinker, Yolanda Benavente, Nikolaus Becker, Paolo Boffetta, Paul Brennan, Lenka Foretova, Marc Maynadie, James McKay, Anthony Staines, Kari G Rabe, Sara J Achenbach, Celine M Vachon, Lynn R Goldin, Sara S Strom, Mark C Lanasa, Logan G Spector, Jose F Leis, Julie M Cunningham, J Brice Weinberg, Vicki A Morrison, Neil E Caporaso, Aaron D Norman, Martha S Linet, Anneclaire J De Roos, Lindsay M Morton, Richard K Severson, Elio Riboli, Paolo Vineis, Rudolph Kaaks, Dimitrios Trichopoulos, Giovanna Masala, Elisabete Weiderpass, María-Dolores Chirlaque, Roel C H Vermeulen, Ruth C Travis, Graham G Giles, Demetrius Albanes, Jarmo Virtamo, Stephanie Weinstein, Jacqueline Clavel, Tongzhang Zheng, Theodore R Holford, Kenneth Offit, Andrew Zelenetz, Robert J Klein, John J Spinelli, Kimberly A Bertrand, Francine Laden, Edward Giovannucci, Peter Kraft, Anne Kricker, Jenny Turner, Claire M Vajdic, Maria Grazia Ennas, Giovanni M Ferri, Lucia Miligi, Liming Liang, Joshua Sampson, Simon Crouch, Ju-Hyun Park, Kari E North, Angela Cox, John A Snowden, Josh Wright, Angel Carracedo, Carlos Lopez-Otin, Silvia Bea, Itziar Salaverria, David Martin-Garcia, Elias Campo, Joseph F Fraumeni, Silvia de Sanjose, Henrik Hjalgrim, James R Cerhan, Stephen J Chanock, Nathaniel Rothman, Susan L Slager

Abstract

Genome-wide association studies (GWAS) have previously identified 13 loci associated with risk of chronic lymphocytic leukemia or small lymphocytic lymphoma (CLL). To identify additional CLL susceptibility loci, we conducted the largest meta-analysis for CLL thus far, including four GWAS with a total of 3,100 individuals with CLL (cases) and 7,667 controls. In the meta-analysis, we identified ten independent associated SNPs in nine new loci at 10q23.31 (ACTA2 or FAS (ACTA2/FAS), P=1.22×10(-14)), 18q21.33 (BCL2, P=7.76×10(-11)), 11p15.5 (C11orf21, P=2.15×10(-10)), 4q25 (LEF1, P=4.24×10(-10)), 2q33.1 (CASP10 or CASP8 (CASP10/CASP8), P=2.50×10(-9)), 9p21.3 (CDKN2B-AS1, P=1.27×10(-8)), 18q21.32 (PMAIP1, P=2.51×10(-8)), 15q15.1 (BMF, P=2.71×10(-10)) and 2p22.2 (QPCT, P=1.68×10(-8)), as well as an independent signal at an established locus (2q13, ACOXL, P=2.08×10(-18)). We also found evidence for two additional promising loci below genome-wide significance at 8q22.3 (ODF1, P=5.40×10(-8)) and 5p15.33 (TERT, P=1.92×10(-7)). Although further studies are required, the proximity of several of these loci to genes involved in apoptosis suggests a plausible underlying biological mechanism.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 181 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Spain 2 1%
United Kingdom 2 1%
Czechia 1 <1%
Korea, Republic of 1 <1%
Greece 1 <1%
Netherlands 1 <1%
Unknown 171 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 52 29%
Student > Ph. D. Student 35 19%
Professor 19 10%
Student > Master 17 9%
Other 14 8%
Other 34 19%
Unknown 10 6%
Readers by discipline Count As %
Medicine and Dentistry 49 27%
Agricultural and Biological Sciences 48 27%
Biochemistry, Genetics and Molecular Biology 34 19%
Computer Science 5 3%
Social Sciences 5 3%
Other 19 10%
Unknown 21 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 06 November 2014.
All research outputs
#807,756
of 14,544,183 outputs
Outputs from Nature Genetics
#1,531
of 6,330 outputs
Outputs of similar age
#7,744
of 124,173 outputs
Outputs of similar age from Nature Genetics
#25
of 47 outputs
Altmetric has tracked 14,544,183 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,330 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 33.3. This one has done well, scoring higher than 75% 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 124,173 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 93% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.