↓ Skip to main content

Insights into the Genetic Architecture of Early Stage Age-Related Macular Degeneration: A Genome-Wide Association Study Meta-Analysis

Overview of attention for article published in PLOS ONE, January 2013
Altmetric Badge

Mentioned by

twitter
1 X user
facebook
1 Facebook page

Citations

dimensions_citation
114 Dimensions

Readers on

mendeley
125 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Insights into the Genetic Architecture of Early Stage Age-Related Macular Degeneration: A Genome-Wide Association Study Meta-Analysis
Published in
PLOS ONE, January 2013
DOI 10.1371/journal.pone.0053830
Pubmed ID
Authors

Elizabeth G. Holliday, Albert V. Smith, Belinda K. Cornes, Gabriëlle H. S. Buitendijk, Richard A. Jensen, Xueling Sim, Thor Aspelund, Tin Aung, Paul N. Baird, Eric Boerwinkle, Ching Yu Cheng, Cornelia M. van Duijn, Gudny Eiriksdottir, Vilmundur Gudnason, Tamara Harris, Alex W. Hewitt, Michael Inouye, Fridbert Jonasson, Barbara E. K. Klein, Lenore Launer, Xiaohui Li, Gerald Liew, Thomas Lumley, Patrick McElduff, Barbara McKnight, Paul Mitchell, Bruce M. Psaty, Elena Rochtchina, Jerome I. Rotter, Rodney J. Scott, Wanting Tay, Kent Taylor, Yik Ying Teo, André G. Uitterlinden, Ananth Viswanathan, Sophia Xie, Johannes R. Vingerling, Caroline C. W. Klaver, E. Shyong Tai, David Siscovick, Ronald Klein, Mary Frances Cotch, Tien Y. Wong, John Attia, Jie Jin Wang

Abstract

Genetic factors explain a majority of risk variance for age-related macular degeneration (AMD). While genome-wide association studies (GWAS) for late AMD implicate genes in complement, inflammatory and lipid pathways, the genetic architecture of early AMD has been relatively under studied. We conducted a GWAS meta-analysis of early AMD, including 4,089 individuals with prevalent signs of early AMD (soft drusen and/or retinal pigment epithelial changes) and 20,453 individuals without these signs. For various published late AMD risk loci, we also compared effect sizes between early and late AMD using an additional 484 individuals with prevalent late AMD. GWAS meta-analysis confirmed previously reported association of variants at the complement factor H (CFH) (peak P = 1.5×10(-31)) and age-related maculopathy susceptibility 2 (ARMS2) (P = 4.3×10(-24)) loci, and suggested Apolipoprotein E (ApoE) polymorphisms (rs2075650; P = 1.1×10(-6)) associated with early AMD. Other possible loci that did not reach GWAS significance included variants in the zinc finger protein gene GLI3 (rs2049622; P = 8.9×10(-6)) and upstream of GLI2 (rs6721654; P = 6.5×10(-6)), encoding retinal Sonic hedgehog signalling regulators, and in the tyrosinase (TYR) gene (rs621313; P = 3.5×10(-6)), involved in melanin biosynthesis. For a range of published, late AMD risk loci, estimated effect sizes were significantly lower for early than late AMD. This study confirms the involvement of multiple established AMD risk variants in early AMD, but suggests weaker genetic effects on the risk of early AMD relative to late AMD. Several biological processes were suggested to be potentially specific for early AMD, including pathways regulating RPE cell melanin content and signalling pathways potentially involved in retinal regeneration, generating hypotheses for further investigation.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Iceland 1 <1%
France 1 <1%
Belgium 1 <1%
Unknown 120 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 18%
Student > Bachelor 14 11%
Student > Ph. D. Student 12 10%
Student > Master 12 10%
Student > Doctoral Student 10 8%
Other 29 23%
Unknown 25 20%
Readers by discipline Count As %
Medicine and Dentistry 37 30%
Agricultural and Biological Sciences 20 16%
Biochemistry, Genetics and Molecular Biology 15 12%
Computer Science 4 3%
Immunology and Microbiology 3 2%
Other 18 14%
Unknown 28 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 01 January 2021.
All research outputs
#19,013,042
of 24,226,848 outputs
Outputs from PLOS ONE
#161,216
of 208,425 outputs
Outputs of similar age
#220,101
of 290,507 outputs
Outputs of similar age from PLOS ONE
#3,411
of 4,936 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 208,425 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one is in the 19th percentile – i.e., 19% 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 290,507 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,936 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.