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Identification of 153 new loci associated with heel bone mineral density and functional involvement of GPC6 in osteoporosis

Overview of attention for article published in Nature Genetics, September 2017
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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 (82nd percentile)

Mentioned by

news
17 news outlets
twitter
34 tweeters
facebook
2 Facebook pages
googleplus
1 Google+ user
reddit
1 Redditor

Citations

dimensions_citation
51 Dimensions

Readers on

mendeley
85 Mendeley
citeulike
3 CiteULike
Title
Identification of 153 new loci associated with heel bone mineral density and functional involvement of GPC6 in osteoporosis
Published in
Nature Genetics, September 2017
DOI 10.1038/ng.3949
Pubmed ID
Authors

John P Kemp, John A Morris, Carolina Medina-Gomez, Vincenzo Forgetta, Nicole M Warrington, Scott E Youlten, Jie Zheng, Celia L Gregson, Elin Grundberg, Katerina Trajanoska, John G Logan, Andrea S Pollard, Penny C Sparkes, Elena J Ghirardello, Rebecca Allen, Victoria D Leitch, Natalie C Butterfield, Davide Komla-Ebri, Anne-Tounsia Adoum, Katharine F Curry, Jacqueline K White, Fiona Kussy, Keelin M Greenlaw, Changjiang Xu, Nicholas C Harvey, Cyrus Cooper, David J Adams, Celia M T Greenwood, Matthew T Maurano, Stephen Kaptoge, Fernando Rivadeneira, Jonathan H Tobias, Peter I Croucher, Cheryl L Ackert-Bicknell, J H Duncan Bassett, Graham R Williams, J Brent Richards, David M Evans

Abstract

Osteoporosis is a common disease diagnosed primarily by measurement of bone mineral density (BMD). We undertook a genome-wide association study (GWAS) in 142,487 individuals from the UK Biobank to identify loci associated with BMD as estimated by quantitative ultrasound of the heel. We identified 307 conditionally independent single-nucleotide polymorphisms (SNPs) that attained genome-wide significance at 203 loci, explaining approximately 12% of the phenotypic variance. These included 153 previously unreported loci, and several rare variants with large effect sizes. To investigate the underlying mechanisms, we undertook (1) bioinformatic, functional genomic annotation and human osteoblast expression studies; (2) gene-function prediction; (3) skeletal phenotyping of 120 knockout mice with deletions of genes adjacent to lead independent SNPs; and (4) analysis of gene expression in mouse osteoblasts, osteocytes and osteoclasts. The results implicate GPC6 as a novel determinant of BMD, and also identify abnormal skeletal phenotypes in knockout mice associated with a further 100 prioritized genes.

Twitter Demographics

The data shown below were collected from the profiles of 34 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 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 85 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 27%
Researcher 13 15%
Student > Master 12 14%
Unspecified 8 9%
Student > Doctoral Student 7 8%
Other 22 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 28%
Biochemistry, Genetics and Molecular Biology 23 27%
Medicine and Dentistry 13 15%
Unspecified 12 14%
Nursing and Health Professions 3 4%
Other 10 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 144. 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 28 June 2018.
All research outputs
#84,890
of 12,348,212 outputs
Outputs from Nature Genetics
#252
of 6,015 outputs
Outputs of similar age
#4,526
of 270,232 outputs
Outputs of similar age from Nature Genetics
#10
of 58 outputs
Altmetric has tracked 12,348,212 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 6,015 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.4. This one has done particularly well, scoring higher than 95% 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 270,232 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 58 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.