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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Genome-wide Association Study Identifies Risk Alleles in Plasminogen and P4HA2 Associated with Giant Cell Arteritis
|
|---|---|
| Published in |
American Journal of Human Genetics, December 2016
|
| DOI | 10.1016/j.ajhg.2016.11.013 |
| Pubmed ID | |
| Authors |
F. David Carmona, Augusto Vaglio, Sarah L. Mackie, José Hernández-Rodríguez, Paul A. Monach, Santos Castañeda, Roser Solans, Inmaculada C. Morado, Javier Narváez, Marc Ramentol-Sintas, Colin T. Pease, Bhaskar Dasgupta, Richard Watts, Nader Khalidi, Carol A. Langford, Steven Ytterberg, Luigi Boiardi, Lorenzo Beretta, Marcello Govoni, Giacomo Emmi, Francesco Bonatti, Marco A. Cimmino, Torsten Witte, Thomas Neumann, Julia Holle, Verena Schönau, Laurent Sailler, Thomas Papo, Julien Haroche, Alfred Mahr, Luc Mouthon, Øyvind Molberg, Andreas P. Diamantopoulos, Alexandre Voskuyl, Elisabeth Brouwer, Thomas Daikeler, Christoph T. Berger, Eamonn S. Molloy, Lorraine O’Neill, Daniel Blockmans, Benedicte A. Lie, Paul Mclaren, Timothy J. Vyse, Cisca Wijmenga, Yannick Allanore, Bobby P.C. Koeleman, Spanish CGA Group, José Luis Callejas, Luis Caminal-Montero, Marc Corbera-Bellalta, Eugenio de Miguel, J. Bernardino Díaz López, María Jesús García-Villanueva, Carmen Gómez-Vaquero, Mercedes Guijarro-Rojas, Ana Hidalgo-Conde, Begoña Marí-Alfonso, Agustín Martínez Berriochoa, Aleida Martínez Zapico, Víctor Manuel Martínez-Taboada, José A. Miranda-Filloy, Jordi Monfort, Norberto Ortego-Centeno, Mercedes Pérez-Conesa, Sergio Prieto-González, Enrique Raya, Raquel Ríos Fernández, Julio Sánchez-Martín, Bernardo Sopeña, Laura Tío, Ainhoa Unzurrunzaga, UKGCA Consortium, Andrew Gough, John D. Isaacs, Michael Green, Neil McHugh, Lesley Hordon, Sanjeet Kamath, Mohammed Nisar, Yusuf Patel, Cee-Seng Yee, Robert Stevens, Pradip Nandi, Anupama Nandagudi, Stephen Jarrett, Charles Li, Sarah Levy, Susan Mollan, Abdel Salih, Oliver Wordsworth, Emma Sanders, Esme Roads, Anne Gill, Lisa Carr, Christine Routledge, Karen Culfear, Asanka Nugaliyadde, Lynne James, Jenny Spimpolo, Andy Kempa, Felicity Mackenzie, Rosanna Fong, Genessa Peters, Bridie Rowbotham, Zahira Masqood, Jane Hollywood, Prisca Gondo, Rose Wood, Steve Martin, Lubna Haroon Rashid, James I. Robinson, Mike Morgan, Louise Sorensen, John Taylor, Vasculitis Clinical Research Consortium, Simon Carette, Sharon Chung, David Cuthbertson, Lindsy J. Forbess, Ora Gewurz-Singer, Gary S. Hoffman, Curry L. Koening, Kathleen M. Maksimowicz-McKinnon, Carol A. McAlear, Larry W. Moreland, Christian Pagnoux, Philip Seo, Ulrich Specks, Robert F. Spiera, Antoine Sreih, Kenneth J. Warrington, Michael Weisman, Jennifer H. Barrett, María C. Cid, Carlo Salvarani, Peter A. Merkel, Ann W. Morgan, Miguel A. González-Gay, Javier Martín |
| Abstract |
Giant cell arteritis (GCA) is the most common form of vasculitis in individuals older than 50 years in Western countries. To shed light onto the genetic background influencing susceptibility for GCA, we performed a genome-wide association screening in a well-powered study cohort. After imputation, 1,844,133 genetic variants were analyzed in 2,134 case subjects and 9,125 unaffected individuals from ten independent populations of European ancestry. Our data confirmed HLA class II as the strongest associated region (independent signals: rs9268905, p = 1.94 × 10(-54), per-allele OR = 1.79; and rs9275592, p = 1.14 × 10(-40), OR = 2.08). Additionally, PLG and P4HA2 were identified as GCA risk genes at the genome-wide level of significance (rs4252134, p = 1.23 × 10(-10), OR = 1.28; and rs128738, p = 4.60 × 10(-9), OR = 1.32, respectively). Interestingly, we observed that the association peaks overlapped with different regulatory elements related to cell types and tissues involved in the pathophysiology of GCA. PLG and P4HA2 are involved in vascular remodelling and angiogenesis, suggesting a high relevance of these processes for the pathogenic mechanisms underlying this type of vasculitis. |
X Demographics
The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 29% |
| Ireland | 2 | 14% |
| Qatar | 1 | 7% |
| Spain | 1 | 7% |
| Unknown | 6 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 64% |
| Scientists | 4 | 29% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 107 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 16% |
| Student > Ph. D. Student | 10 | 9% |
| Student > Bachelor | 9 | 8% |
| Other | 8 | 7% |
| Professor | 8 | 7% |
| Other | 24 | 22% |
| Unknown | 31 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 33 | 31% |
| Biochemistry, Genetics and Molecular Biology | 14 | 13% |
| Agricultural and Biological Sciences | 8 | 7% |
| Immunology and Microbiology | 4 | 4% |
| Computer Science | 2 | 2% |
| Other | 11 | 10% |
| Unknown | 35 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 97. 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 25 March 2021.
All research outputs
#436,983
of 25,374,647 outputs
Outputs from American Journal of Human Genetics
#165
of 5,879 outputs
Outputs of similar age
#9,212
of 422,401 outputs
Outputs of similar age from American Journal of Human Genetics
#4
of 52 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,879 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has done particularly well, scoring higher than 97% 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 422,401 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 97% of its contemporaries.
We're also able to compare this research output to 52 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 92% of its contemporaries.