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Genome-wide association study of glioma subtypes identifies specific differences in genetic susceptibility to glioblastoma and non-glioblastoma tumors

Overview of attention for article published in Nature Genetics, March 2017
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  • 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 (94th percentile)

Mentioned by

news
31 news outlets
blogs
3 blogs
twitter
113 X users
facebook
3 Facebook pages
video
1 YouTube creator

Citations

dimensions_citation
253 Dimensions

Readers on

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282 Mendeley
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Title
Genome-wide association study of glioma subtypes identifies specific differences in genetic susceptibility to glioblastoma and non-glioblastoma tumors
Published in
Nature Genetics, March 2017
DOI 10.1038/ng.3823
Pubmed ID
Authors

Beatrice S Melin, Jill S Barnholtz-Sloan, Margaret R Wrensch, Christoffer Johansen, Dora Il'yasova, Ben Kinnersley, Quinn T Ostrom, Karim Labreche, Yanwen Chen, Georgina Armstrong, Yanhong Liu, Jeanette E Eckel-Passow, Paul A Decker, Marianne Labussière, Ahmed Idbaih, Khe Hoang-Xuan, Anna-Luisa Di Stefano, Karima Mokhtari, Jean-Yves Delattre, Peter Broderick, Pilar Galan, Konstantinos Gousias, Johannes Schramm, Minouk J Schoemaker, Sarah J Fleming, Stefan Herms, Stefanie Heilmann, Markus M Nöthen, Heinz-Erich Wichmann, Stefan Schreiber, Anthony Swerdlow, Mark Lathrop, Matthias Simon, Marc Sanson, Ulrika Andersson, Preetha Rajaraman, Stephen Chanock, Martha Linet, Zhaoming Wang, Meredith Yeager, John K Wiencke, Helen Hansen, Lucie McCoy, Terri Rice, Matthew L Kosel, Hugues Sicotte, Christopher I Amos, Jonine L Bernstein, Faith Davis, Dan Lachance, Ching Lau, Ryan T Merrell, Joellen Shildkraut, Francis Ali-Osman, Siegal Sadetzki, Michael Scheurer, Sanjay Shete, Rose K Lai, Elizabeth B Claus, Sara H Olson, Robert B Jenkins, Richard S Houlston, Melissa L Bondy

Abstract

Genome-wide association studies (GWAS) have transformed our understanding of glioma susceptibility, but individual studies have had limited power to identify risk loci. We performed a meta-analysis of existing GWAS and two new GWAS, which totaled 12,496 cases and 18,190 controls. We identified five new loci for glioblastoma (GBM) at 1p31.3 (rs12752552; P = 2.04 × 10(-9), odds ratio (OR) = 1.22), 11q14.1 (rs11233250; P = 9.95 × 10(-10), OR = 1.24), 16p13.3 (rs2562152; P = 1.93 × 10(-8), OR = 1.21), 16q12.1 (rs10852606; P = 1.29 × 10(-11), OR = 1.18) and 22q13.1 (rs2235573; P = 1.76 × 10(-10), OR = 1.15), as well as eight loci for non-GBM tumors at 1q32.1 (rs4252707; P = 3.34 × 10(-9), OR = 1.19), 1q44 (rs12076373; P = 2.63 × 10(-10), OR = 1.23), 2q33.3 (rs7572263; P = 2.18 × 10(-10), OR = 1.20), 3p14.1 (rs11706832; P = 7.66 × 10(-9), OR = 1.15), 10q24.33 (rs11598018; P = 3.39 × 10(-8), OR = 1.14), 11q21 (rs7107785; P = 3.87 × 10(-10), OR = 1.16), 14q12 (rs10131032; P = 5.07 × 10(-11), OR = 1.33) and 16p13.3 (rs3751667; P = 2.61 × 10(-9), OR = 1.18). These data substantiate that genetic susceptibility to GBM and non-GBM tumors are highly distinct, which likely reflects different etiology.

X Demographics

X Demographics

The data shown below were collected from the profiles of 113 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 282 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
China 1 <1%
Unknown 279 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 48 17%
Researcher 43 15%
Student > Bachelor 27 10%
Student > Master 24 9%
Student > Doctoral Student 13 5%
Other 50 18%
Unknown 77 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 61 22%
Medicine and Dentistry 49 17%
Agricultural and Biological Sciences 35 12%
Neuroscience 19 7%
Engineering 7 2%
Other 23 8%
Unknown 88 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 314. 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 29 September 2023.
All research outputs
#109,114
of 25,584,565 outputs
Outputs from Nature Genetics
#159
of 7,594 outputs
Outputs of similar age
#2,533
of 323,571 outputs
Outputs of similar age from Nature Genetics
#5
of 76 outputs
Altmetric has tracked 25,584,565 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 7,594 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.0. This one has done particularly well, scoring higher than 97% 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 323,571 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 76 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.