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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genetic variants near TIMP3 and high-density lipoprotein–associated loci influence susceptibility to age-related macular degeneration
|
|---|---|
| Published in |
Proceedings of the National Academy of Sciences of the United States of America, April 2010
|
| DOI | 10.1073/pnas.0912702107 |
| Pubmed ID | |
| Authors |
Wei Chen, Dwight Stambolian, Albert O. Edwards, Kari E. Branham, Mohammad Othman, Johanna Jakobsdottir, Nirubol Tosakulwong, Margaret A. Pericak-Vance, Peter A. Campochiaro, Michael L. Klein, Perciliz L. Tan, Yvette P. Conley, Atsuhiro Kanda, Laura Kopplin, Yanming Li, Katherine J. Augustaitis, Athanasios J. Karoukis, William K. Scott, Anita Agarwal, Jaclyn L. Kovach, Stephen G. Schwartz, Eric A. Postel, Matthew Brooks, Keith H. Baratz, William L. Brown, Alexander J. Brucker, Anton Orlin, Gary Brown, Allen Ho, Carl Regillo, Larry Donoso, Lifeng Tian, Brian Kaderli, Dexter Hadley, Stephanie A. Hagstrom, Neal S. Peachey, Ronald Klein, Barbara E. K. Klein, Norimoto Gotoh, Kenji Yamashiro, Frederick Ferris, Jesen A. Fagerness, Robyn Reynolds, Lindsay A. Farrer, Ivana K. Kim, Joan W. Miller, Marta Cortón, Angel Carracedo, Manuel Sanchez-Salorio, Elizabeth W. Pugh, Kimberly F. Doheny, Maria Brion, Margaret M. DeAngelis, Daniel E. Weeks, Donald J. Zack, Emily Y. Chew, John R. Heckenlively, Nagahisa Yoshimura, Sudha K. Iyengar, Peter J. Francis, Nicholas Katsanis, Johanna M. Seddon, Jonathan L. Haines, Michael B. Gorin, Gonçalo R. Abecasis, Anand Swaroop, Robert N. Johnson, Everett Ai, H. Richard McDonald, Margaret Stolarczuk, Peter Reed Pavan, Karina K. Billiris, Mohan Iyer, Matthew M. Menosky, Scott E. Pautler, Sharon M. Millard, Baker Hubbard, Thomas Aaberg, Lindy DuBois, Alice Lyon, Susan Anderson-Nelson, Lee M. Jampol, David V. Weinberg, Annie Muñana, Zuzanna Rozenbajgier, David Orth, Jack Cohen, Matthew MacCumber, Matthew MacCumber, Celeste Figliulo, Liz Porcz, James Folk, H. Culver Boldt, Stephen R. Russell, Rachel Ivins, Connie J. Hinz, Charles C. Barr, Steve Bloom, Ken Jaegers, Brian Kritchman, Greg Whittington, Jeffrey Heier, Albert R. Frederick, Michael G. Morley, Trexler Topping, Heather L. Davis, Susan B. Bressler, Neil M. Bressler, Warren Doll, Michael Trese, Antonio Capone, Bruce R. Garretson, Tarek S. Hassan, Alan J. Ruby, Tammy Osentoski, Colin A. McCannel, Margaret J. Ruszczyk, Gilbert Grand, Kevin Blinder, Nancy M. Holekamp, Daniel P. Joseph, Gaurav Shah, Ginny S. Nobel, Andrew N. Antoszyk, David J. Browning, Alison H Stallings, Lawrence J. Singerman, David Miller, Michael Novak, Scott Pendergast, Hernando Zegarra, Stephanie A. Schura, Sheila Smith-Brewer, Frederick H. Davidorf, Robert Chambers, Louis Chorich, Jill Salerno, Richard F. Dreyer, Colin Ma, Marcia R. Kopfer, Michael L. Klein, David J. Wilson, Susan K. Nolte, Juan E. Grunwald, Alexander J. Brucker, Josh Dunaief, Stuart L. Fine, Albert M. Maguire, Robert A. Stoltz, Monique N. McRay, Gary Edd Fish, Rajiv Anand, Rand Spencer, Jean Arnwine, Suresh R. Chandra, Michael Altaweel, Barbara Blodi, Justin Gottlieb, Michael Ip, T. Michael Nork, Jennie Perry-Raymond, Stuart L. Fine, Maureen G. Maguire, Mary Brightwell-Arnold, Sandra Harkins, Ellen Peskin, Gui-Shuang Ying, Natalie Kurinij |
| Abstract |
We executed a genome-wide association scan for age-related macular degeneration (AMD) in 2,157 cases and 1,150 controls. Our results validate AMD susceptibility loci near CFH (P < 10(-75)), ARMS2 (P < 10(-59)), C2/CFB (P < 10(-20)), C3 (P < 10(-9)), and CFI (P < 10(-6)). We compared our top findings with the Tufts/Massachusetts General Hospital genome-wide association study of advanced AMD (821 cases, 1,709 controls) and genotyped 30 promising markers in additional individuals (up to 7,749 cases and 4,625 controls). With these data, we identified a susceptibility locus near TIMP3 (overall P = 1.1 x 10(-11)), a metalloproteinase involved in degradation of the extracellular matrix and previously implicated in early-onset maculopathy. In addition, our data revealed strong association signals with alleles at two loci (LIPC, P = 1.3 x 10(-7); CETP, P = 7.4 x 10(-7)) that were previously associated with high-density lipoprotein cholesterol (HDL-c) levels in blood. Consistent with the hypothesis that HDL metabolism is associated with AMD pathogenesis, we also observed association with AMD of HDL-c-associated alleles near LPL (P = 3.0 x 10(-3)) and ABCA1 (P = 5.6 x 10(-4)). Multilocus analysis including all susceptibility loci showed that 329 of 331 individuals (99%) with the highest-risk genotypes were cases, and 85% of these had advanced AMD. Our studies extend the catalog of AMD associated loci, help identify individuals at high risk of disease, and provide clues about underlying cellular pathways that should eventually lead to new therapies. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 295 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 2% |
| Brazil | 3 | 1% |
| United Kingdom | 3 | 1% |
| France | 1 | <1% |
| Japan | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 281 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 64 | 22% |
| Student > Ph. D. Student | 52 | 18% |
| Student > Bachelor | 30 | 10% |
| Student > Master | 24 | 8% |
| Professor > Associate Professor | 20 | 7% |
| Other | 62 | 21% |
| Unknown | 43 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 82 | 28% |
| Medicine and Dentistry | 81 | 27% |
| Biochemistry, Genetics and Molecular Biology | 43 | 15% |
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 2% |
| Neuroscience | 5 | 2% |
| Other | 26 | 9% |
| Unknown | 51 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 33. 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 16 March 2021.
All research outputs
#1,138,283
of 24,625,114 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#16,931
of 101,438 outputs
Outputs of similar age
#3,584
of 99,157 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#90
of 755 outputs
Altmetric has tracked 24,625,114 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 101,438 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.8. This one has done well, scoring higher than 83% 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 99,157 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 96% of its contemporaries.
We're also able to compare this research output to 755 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.