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A large genome-wide association study of age-related macular degeneration highlights contributions of rare and common variants

Overview of attention for article published in Nature Genetics, December 2015
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
21 news outlets
blogs
3 blogs
twitter
55 X users
patent
6 patents
facebook
2 Facebook pages
wikipedia
1 Wikipedia page

Citations

dimensions_citation
1187 Dimensions

Readers on

mendeley
913 Mendeley
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Title
A large genome-wide association study of age-related macular degeneration highlights contributions of rare and common variants
Published in
Nature Genetics, December 2015
DOI 10.1038/ng.3448
Pubmed ID
Authors

Lars G Fritsche, Wilmar Igl, Jessica N Cooke Bailey, Felix Grassmann, Sebanti Sengupta, Jennifer L Bragg-Gresham, Kathryn P Burdon, Scott J Hebbring, Cindy Wen, Mathias Gorski, Ivana K Kim, David Cho, Donald Zack, Eric Souied, Hendrik P N Scholl, Elisa Bala, Kristine E Lee, David J Hunter, Rebecca J Sardell, Paul Mitchell, Joanna E Merriam, Valentina Cipriani, Joshua D Hoffman, Tina Schick, Yara T E Lechanteur, Robyn H Guymer, Matthew P Johnson, Yingda Jiang, Chloe M Stanton, Gabriëlle H S Buitendijk, Xiaowei Zhan, Alan M Kwong, Alexis Boleda, Matthew Brooks, Linn Gieser, Rinki Ratnapriya, Kari E Branham, Johanna R Foerster, John R Heckenlively, Mohammad I Othman, Brendan J Vote, Helena Hai Liang, Emmanuelle Souzeau, Ian L McAllister, Timothy Isaacs, Janette Hall, Stewart Lake, David A Mackey, Ian J Constable, Jamie E Craig, Terrie E Kitchner, Zhenglin Yang, Zhiguang Su, Hongrong Luo, Daniel Chen, Hong Ouyang, Ken Flagg, Danni Lin, Guanping Mao, Henry Ferreyra, Klaus Stark, Claudia N von Strachwitz, Armin Wolf, Caroline Brandl, Guenther Rudolph, Matthias Olden, Margaux A Morrison, Denise J Morgan, Matthew Schu, Jeeyun Ahn, Giuliana Silvestri, Evangelia E Tsironi, Kyu Hyung Park, Lindsay A Farrer, Anton Orlin, Alexander Brucker, Mingyao Li, Christine A Curcio, Saddek Mohand-Saïd, José-Alain Sahel, Isabelle Audo, Mustapha Benchaboune, Angela J Cree, Christina A Rennie, Srinivas V Goverdhan, Michelle Grunin, Shira Hagbi-Levi, Peter Campochiaro, Nicholas Katsanis, Frank G Holz, Frédéric Blond, Hélène Blanché, Jean-François Deleuze, Robert P Igo, Barbara Truitt, Neal S Peachey, Stacy M Meuer, Chelsea E Myers, Emily L Moore, Ronald Klein, Michael A Hauser, Eric A Postel, Monique D Courtenay, Stephen G Schwartz, Jaclyn L Kovach, William K Scott, Gerald Liew, Ava G Tan, Bamini Gopinath, John C Merriam, R Theodore Smith, Jane C Khan, Humma Shahid, Anthony T Moore, J Allie McGrath, Reneé Laux, Milam A Brantley, Anita Agarwal, Lebriz Ersoy, Albert Caramoy, Thomas Langmann, Nicole T M Saksens, Eiko K de Jong, Carel B Hoyng, Melinda S Cain, Andrea J Richardson, Tammy M Martin, John Blangero, Daniel E Weeks, Bal Dhillon, Cornelia M van Duijn, Kimberly F Doheny, Jane Romm, Caroline C W Klaver, Caroline Hayward, Michael B Gorin, Michael L Klein, Paul N Baird, Anneke I den Hollander, Sascha Fauser, John R W Yates, Rando Allikmets, Jie Jin Wang, Debra A Schaumberg, Barbara E K Klein, Stephanie A Hagstrom, Itay Chowers, Andrew J Lotery, Thierry Léveillard, Kang Zhang, Murray H Brilliant, Alex W Hewitt, Anand Swaroop, Emily Y Chew, Margaret A Pericak-Vance, Margaret DeAngelis, Dwight Stambolian, Jonathan L Haines, Sudha K Iyengar, Bernhard H F Weber, Gonçalo R Abecasis, Iris M Heid

Abstract

Advanced age-related macular degeneration (AMD) is the leading cause of blindness in the elderly, with limited therapeutic options. Here we report on a study of >12 million variants, including 163,714 directly genotyped, mostly rare, protein-altering variants. Analyzing 16,144 patients and 17,832 controls, we identify 52 independently associated common and rare variants (P < 5 × 10(-8)) distributed across 34 loci. Although wet and dry AMD subtypes exhibit predominantly shared genetics, we identify the first genetic association signal specific to wet AMD, near MMP9 (difference P value = 4.1 × 10(-10)). Very rare coding variants (frequency <0.1%) in CFH, CFI and TIMP3 suggest causal roles for these genes, as does a splice variant in SLC16A8. Our results support the hypothesis that rare coding variants can pinpoint causal genes within known genetic loci and illustrate that applying the approach systematically to detect new loci requires extremely large sample sizes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 55 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 913 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
Australia 1 <1%
Italy 1 <1%
Denmark 1 <1%
Korea, Republic of 1 <1%
Thailand 1 <1%
Japan 1 <1%
United States 1 <1%
Unknown 904 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 153 17%
Student > Ph. D. Student 139 15%
Student > Bachelor 90 10%
Student > Master 78 9%
Student > Doctoral Student 56 6%
Other 157 17%
Unknown 240 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 208 23%
Medicine and Dentistry 168 18%
Agricultural and Biological Sciences 119 13%
Neuroscience 30 3%
Computer Science 20 2%
Other 101 11%
Unknown 267 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 202. 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 March 2024.
All research outputs
#196,617
of 25,589,756 outputs
Outputs from Nature Genetics
#308
of 7,597 outputs
Outputs of similar age
#3,059
of 397,221 outputs
Outputs of similar age from Nature Genetics
#4
of 67 outputs
Altmetric has tracked 25,589,756 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 7,597 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.0. 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 397,221 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 99% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.