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Genetic pleiotropy between age-related macular degeneration and 16 complex diseases and traits

Overview of attention for article published in Genome Medicine, March 2017
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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 (76th percentile)
  • Average Attention Score compared to outputs of the same age and source

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13 X users
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Citations

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119 Mendeley
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Title
Genetic pleiotropy between age-related macular degeneration and 16 complex diseases and traits
Published in
Genome Medicine, March 2017
DOI 10.1186/s13073-017-0418-0
Pubmed ID
Authors

Felix Grassmann, Christina Kiel, Martina E. Zimmermann, Mathias Gorski, Veronika Grassmann, Klaus Stark, International AMD Genomics Consortium (IAMDGC), Iris M. Heid, Bernhard H. F. Weber

Abstract

Age-related macular degeneration (AMD) is a common condition of vision loss with disease development strongly influenced by environmental and genetic factors. Recently, 34 loci were associated with AMD at genome-wide significance. So far, little is known about a genetic overlap between AMD and other complex diseases or disease-relevant traits. For each of 60 complex diseases/traits with publicly available genome-wide significant association data, the lead genetic variant per independent locus was extracted and a genetic score was calculated for each disease/trait as the weighted sum of risk alleles. The association with AMD was estimated based on 16,144 AMD cases and 17,832 controls using logistic regression. Of the respective disease/trait variance, the 60 genetic scores explained on average 4.8% (0.27-20.69%) and 16 of them were found to be significantly associated with AMD (Q-values < 0.01, p values from < 1.0 × 10(-16) to 1.9 × 10(-3)). Notably, an increased risk for AMD was associated with reduced risk for cardiovascular diseases, increased risk for autoimmune diseases, higher HDL and lower LDL levels in serum, lower bone-mineral density as well as an increased risk for skin cancer. By restricting the analysis to 1824 variants initially used to compute the 60 genetic scores, we identified 28 novel AMD risk variants (Q-values < 0.01, p values from 1.1 × 10(-7) to 3.0 × 10(-4)), known to be involved in cardiovascular disorders, lipid metabolism, autoimmune diseases, anthropomorphic traits, ocular disorders, and neurological diseases. The latter variants represent 20 novel AMD-associated, pleiotropic loci. Genes in the novel loci reinforce previous findings strongly implicating the complement system in AMD pathogenesis. We demonstrate a substantial overlap of the genetics of several complex diseases/traits with AMD and provide statistically significant evidence for an additional 20 loci associated with AMD. This highlights the possibility that so far unrelated pathologies may have disease pathways in common.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Unknown 118 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 18%
Student > Ph. D. Student 15 13%
Student > Doctoral Student 12 10%
Professor 9 8%
Student > Bachelor 9 8%
Other 20 17%
Unknown 33 28%
Readers by discipline Count As %
Medicine and Dentistry 30 25%
Biochemistry, Genetics and Molecular Biology 22 18%
Agricultural and Biological Sciences 13 11%
Neuroscience 5 4%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Other 8 7%
Unknown 38 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 April 2022.
All research outputs
#4,216,206
of 23,479,361 outputs
Outputs from Genome Medicine
#843
of 1,465 outputs
Outputs of similar age
#73,723
of 310,088 outputs
Outputs of similar age from Genome Medicine
#18
of 27 outputs
Altmetric has tracked 23,479,361 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,465 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.8. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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 310,088 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 76% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.