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Childhood gene-environment interactions and age-dependent effects of genetic variants associated with refractive error and myopia: The CREAM Consortium

Overview of attention for article published in Scientific Reports, May 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

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1 news outlet
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2 X users
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4 Facebook pages

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136 Mendeley
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1 CiteULike
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Title
Childhood gene-environment interactions and age-dependent effects of genetic variants associated with refractive error and myopia: The CREAM Consortium
Published in
Scientific Reports, May 2016
DOI 10.1038/srep25853
Pubmed ID
Authors

Qiao Fan, Xiaobo Guo, J. Willem L. Tideman, Katie M. Williams, Seyhan Yazar, S. Mohsen Hosseini, Laura D. Howe, Beaté St Pourcain, David M. Evans, Nicholas J. Timpson, George McMahon, Pirro G. Hysi, Eva Krapohl, Ya Xing Wang, Jost B. Jonas, Paul Nigel Baird, Jie Jin Wang, Ching-Yu Cheng, Yik-Ying Teo, Tien-Yin Wong, Xiaohu Ding, Robert Wojciechowski, Terri L. Young, Olavi Pärssinen, Konrad Oexle, Norbert Pfeiffer, Joan E. Bailey-Wilson, Andrew D. Paterson, Caroline C. W. Klaver, Robert Plomin, Christopher J. Hammond, David A. Mackey, Mingguang He, Seang-Mei Saw, Cathy Williams, Jeremy A. Guggenheim

Abstract

Myopia, currently at epidemic levels in East Asia, is a leading cause of untreatable visual impairment. Genome-wide association studies (GWAS) in adults have identified 39 loci associated with refractive error and myopia. Here, the age-of-onset of association between genetic variants at these 39 loci and refractive error was investigated in 5200 children assessed longitudinally across ages 7-15 years, along with gene-environment interactions involving the major environmental risk-factors, nearwork and time outdoors. Specific variants could be categorized as showing evidence of: (a) early-onset effects remaining stable through childhood, (b) early-onset effects that progressed further with increasing age, or (c) onset later in childhood (N = 10, 5 and 11 variants, respectively). A genetic risk score (GRS) for all 39 variants explained 0.6% (P = 6.6E-08) and 2.3% (P = 6.9E-21) of the variance in refractive error at ages 7 and 15, respectively, supporting increased effects from these genetic variants at older ages. Replication in multi-ancestry samples (combined N = 5599) yielded evidence of childhood onset for 6 of 12 variants present in both Asians and Europeans. There was no indication that variant or GRS effects altered depending on time outdoors, however 5 variants showed nominal evidence of interactions with nearwork (top variant, rs7829127 in ZMAT4; P = 6.3E-04).

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 <1%
Unknown 135 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 13%
Student > Ph. D. Student 16 12%
Professor 13 10%
Student > Doctoral Student 10 7%
Student > Bachelor 10 7%
Other 35 26%
Unknown 34 25%
Readers by discipline Count As %
Medicine and Dentistry 45 33%
Biochemistry, Genetics and Molecular Biology 13 10%
Agricultural and Biological Sciences 11 8%
Nursing and Health Professions 5 4%
Neuroscience 4 3%
Other 14 10%
Unknown 44 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 04 August 2017.
All research outputs
#3,048,324
of 25,837,817 outputs
Outputs from Scientific Reports
#25,853
of 142,708 outputs
Outputs of similar age
#47,694
of 329,231 outputs
Outputs of similar age from Scientific Reports
#640
of 3,418 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 142,708 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.8. This one has done well, scoring higher than 81% 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 329,231 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 85% of its contemporaries.
We're also able to compare this research output to 3,418 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.