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Analysis combining correlated glaucoma traits identifies five new risk loci for open-angle glaucoma

Overview of attention for article published in Scientific Reports, February 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

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Citations

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Title
Analysis combining correlated glaucoma traits identifies five new risk loci for open-angle glaucoma
Published in
Scientific Reports, February 2018
DOI 10.1038/s41598-018-20435-9
Pubmed ID
Authors

Puya Gharahkhani, Kathryn P. Burdon, Jessica N. Cooke Bailey, Alex W. Hewitt, Matthew H. Law, Louis R. Pasquale, Jae H. Kang, Jonathan L. Haines, Emmanuelle Souzeau, Tiger Zhou, Owen M. Siggs, John Landers, Mona Awadalla, Shiwani Sharma, Richard A. Mills, Bronwyn Ridge, David Lynn, Robert Casson, Stuart L. Graham, Ivan Goldberg, Andrew White, Paul R. Healey, John Grigg, Mitchell Lawlor, Paul Mitchell, Jonathan Ruddle, Michael Coote, Mark Walland, Stephen Best, Andrea Vincent, Jesse Gale, Graham RadfordSmith, David C. Whiteman, Grant W. Montgomery, Nicholas G. Martin, David A Mackey, Janey L. Wiggs, Stuart MacGregor, Jamie E. Craig, The NEIGHBORHOOD consortium

Abstract

Open-angle glaucoma (OAG) is a major cause of blindness worldwide. To identify new risk loci for OAG, we performed a genome-wide association study in 3,071 OAG cases and 6,750 unscreened controls, and meta-analysed the results with GWAS data for intraocular pressure (IOP) and optic disc parameters (the overall meta-analysis sample size varying between 32,000 to 48,000 participants), which are glaucoma-related traits. We identified and independently validated four novel genome-wide significant associations within or near MYOF and CYP26A1, LINC02052 and CRYGS, LMX1B, and LMO7 using single variant tests, one additional locus (C9) using gene-based tests, and two genetic pathways - "response to fluid shear stress" and "abnormal retina morphology" - in pathway-based tests. Interestingly, some of the new risk loci contribute to risk of other genetically-correlated eye diseases including myopia and age-related macular degeneration. To our knowledge, this study is the first integrative study to combine genetic data from OAG and its correlated traits to identify new risk variants and genetic pathways, highlighting the future potential of combining genetic data from genetically-correlated eye traits for the purpose of gene discovery and mapping.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 67 100%

Demographic breakdown

Readers by professional status Count As %
Professor 10 15%
Researcher 8 12%
Student > Bachelor 7 10%
Student > Ph. D. Student 7 10%
Other 5 7%
Other 13 19%
Unknown 17 25%
Readers by discipline Count As %
Medicine and Dentistry 20 30%
Biochemistry, Genetics and Molecular Biology 12 18%
Unspecified 3 4%
Nursing and Health Professions 3 4%
Agricultural and Biological Sciences 2 3%
Other 8 12%
Unknown 19 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 08 February 2020.
All research outputs
#5,230,542
of 25,030,708 outputs
Outputs from Scientific Reports
#40,157
of 137,394 outputs
Outputs of similar age
#118,721
of 485,608 outputs
Outputs of similar age from Scientific Reports
#1,264
of 4,061 outputs
Altmetric has tracked 25,030,708 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 137,394 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.7. This one has gotten more attention than average, scoring higher than 70% 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 485,608 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 75% of its contemporaries.
We're also able to compare this research output to 4,061 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 68% of its contemporaries.