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Genome-wide association study identifies multiple susceptibility loci for multiple myeloma

Overview of attention for article published in Nature Communications, July 2016
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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 (95th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

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4 news outlets
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15 X users
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2 Facebook pages
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1 Wikipedia page

Citations

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145 Dimensions

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199 Mendeley
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Title
Genome-wide association study identifies multiple susceptibility loci for multiple myeloma
Published in
Nature Communications, July 2016
DOI 10.1038/ncomms12050
Pubmed ID
Authors

Jonathan S. Mitchell, Ni Li, Niels Weinhold, Asta Försti, Mina Ali, Mark van Duin, Gudmar Thorleifsson, David C. Johnson, Bowang Chen, Britt-Marie Halvarsson, Daniel F. Gudbjartsson, Rowan Kuiper, Owen W. Stephens, Uta Bertsch, Peter Broderick, Chiara Campo, Hermann Einsele, Walter A. Gregory, Urban Gullberg, Marc Henrion, Jens Hillengass, Per Hoffmann, Graham H. Jackson, Ellinor Johnsson, Magnus Jöud, Sigurður Y. Kristinsson, Stig Lenhoff, Oleg Lenive, Ulf-Henrik Mellqvist, Gabriele Migliorini, Hareth Nahi, Sven Nelander, Jolanta Nickel, Markus M. Nöthen, Thorunn Rafnar, Fiona M. Ross, Miguel Inacio da Silva Filho, Bhairavi Swaminathan, Hauke Thomsen, Ingemar Turesson, Annette Vangsted, Ulla Vogel, Anders Waage, Brian A. Walker, Anna-Karin Wihlborg, Annemiek Broyl, Faith E. Davies, Unnur Thorsteinsdottir, Christian Langer, Markus Hansson, Martin Kaiser, Pieter Sonneveld, Kari Stefansson, Gareth J. Morgan, Hartmut Goldschmidt, Kari Hemminki, Björn Nilsson, Richard S. Houlston

Abstract

Multiple myeloma (MM) is a plasma cell malignancy with a significant heritable basis. Genome-wide association studies have transformed our understanding of MM predisposition, but individual studies have had limited power to discover risk loci. Here we perform a meta-analysis of these GWAS, add a new GWAS and perform replication analyses resulting in 9,866 cases and 239,188 controls. We confirm all nine known risk loci and discover eight new loci at 6p22.3 (rs34229995, P=1.31 × 10(-8)), 6q21 (rs9372120, P=9.09 × 10(-15)), 7q36.1 (rs7781265, P=9.71 × 10(-9)), 8q24.21 (rs1948915, P=4.20 × 10(-11)), 9p21.3 (rs2811710, P=1.72 × 10(-13)), 10p12.1 (rs2790457, P=1.77 × 10(-8)), 16q23.1 (rs7193541, P=5.00 × 10(-12)) and 20q13.13 (rs6066835, P=1.36 × 10(-13)), which localize in or near to JARID2, ATG5, SMARCD3, CCAT1, CDKN2A, WAC, RFWD3 and PREX1. These findings provide additional support for a polygenic model of MM and insight into the biological basis of tumour development.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 199 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Germany 1 <1%
Unknown 197 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 44 22%
Researcher 37 19%
Student > Master 19 10%
Student > Bachelor 18 9%
Student > Doctoral Student 12 6%
Other 25 13%
Unknown 44 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 54 27%
Medicine and Dentistry 44 22%
Agricultural and Biological Sciences 25 13%
Immunology and Microbiology 6 3%
Computer Science 4 2%
Other 14 7%
Unknown 52 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 45. 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 12 September 2018.
All research outputs
#945,190
of 25,837,817 outputs
Outputs from Nature Communications
#15,537
of 58,118 outputs
Outputs of similar age
#17,776
of 370,633 outputs
Outputs of similar age from Nature Communications
#243
of 790 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 96th 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 gotten more attention than average, scoring higher than 73% 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 370,633 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 95% of its contemporaries.
We're also able to compare this research output to 790 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 69% of its contemporaries.