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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Large-Scale Genetic Analysis Reveals a Strong Contribution of the HLA Class II Region to Giant Cell Arteritis Susceptibility
|
|---|---|
| Published in |
American Journal of Human Genetics, March 2015
|
| DOI | 10.1016/j.ajhg.2015.02.009 |
| Pubmed ID | |
| Authors |
F. David Carmona, Sarah L. Mackie, Jose-Ezequiel Martín, John C. Taylor, Augusto Vaglio, Stephen Eyre, Lara Bossini-Castillo, Santos Castañeda, Maria C. Cid, José Hernández-Rodríguez, Sergio Prieto-González, Roser Solans, Marc Ramentol-Sintas, M. Francisca González-Escribano, Lourdes Ortiz-Fernández, Inmaculada C. Morado, Javier Narváez, José A. Miranda-Filloy, Spanish GCA Group, Agustín Martínez-Berriochoa, Ainhoa Unzurrunzaga, Ana Hidalgo-Conde, Ana B. Madroñero-Vuelta, Antonio Fernández-Nebro, M. Carmen Ordóñez-Cañizares, Begoña Escalante, Begoña Marí-Alfonso, Bernardo Sopeña, César Magro, Enrique Raya, Elena Grau, José A. Román, Eugenio de Miguel, F. Javier López-Longo, Lina Martínez, Carmen Gómez-Vaquero, Benjamín Fernández-Gutiérrez, Luis Rodríguez-Rodríguez, J. Bernardino Díaz-López, Luis Caminal-Montero, Aleida Martínez-Zapico, Jordi Monfort, Laura Tío, Julio Sánchez-Martín, Juan J. Alegre-Sancho, Luis Sáez-Comet, Mercedes Pérez-Conesa, Marc Corbera-Bellalta, M. Jesús García-Villanueva, M. Encarnación Fernández-Contreras, Olga Sanchez-Pernaute, Ricardo Blanco, Norberto Ortego-Centeno, Raquel Ríos-Fernández, José L. Callejas, Patricia Fanlo-Mateo, Víctor M. Martínez-Taboada, Lorenzo Beretta, Claudio Lunardi, Marco A. Cimmino, Davide Gianfreda, Daniele Santilli, Giuseppe A. Ramirez, Alessandra Soriano, Francesco Muratore, Giulia Pazzola, Olga Addimanda, Cisca Wijmenga, Torsten Witte, Jan H. Schirmer, Frank Moosig, Verena Schönau, Andre Franke, Øyvind Palm, Øyvind Molberg, Andreas P. Diamantopoulos, Simon Carette, David Cuthbertson, Lindsy J. Forbess, Gary S. Hoffman, Nader A. Khalidi, Curry L. Koening, Carol A. Langford, Carol A. McAlear, Larry Moreland, Paul A. Monach, Christian Pagnoux, Philip Seo, Robert Spiera, Antoine G. Sreih, Kenneth J. Warrington, Steven R. Ytterberg, Peter K. Gregersen, Colin T. Pease, Andrew Gough, Michael Green, Lesley Hordon, Stephen Jarrett, Richard Watts, Sarah Levy, Yusuf Patel, Sanjeet Kamath, Bhaskar Dasgupta, Jane Worthington, Bobby P.C. Koeleman, Paul I.W. de Bakker, Jennifer H. Barrett, Carlo Salvarani, Peter A. Merkel, Miguel A. González-Gay, Ann W. Morgan, Javier Martín |
| Abstract |
We conducted a large-scale genetic analysis on giant cell arteritis (GCA), a polygenic immune-mediated vasculitis. A case-control cohort, comprising 1,651 case subjects with GCA and 15,306 unrelated control subjects from six different countries of European ancestry, was genotyped by the Immunochip array. We also imputed HLA data with a previously validated imputation method to perform a more comprehensive analysis of this genomic region. The strongest association signals were observed in the HLA region, with rs477515 representing the highest peak (p = 4.05 × 10(-40), OR = 1.73). A multivariate model including class II amino acids of HLA-DRβ1 and HLA-DQα1 and one class I amino acid of HLA-B explained most of the HLA association with GCA, consistent with previously reported associations of classical HLA alleles like HLA-DRB1(∗)04. An omnibus test on polymorphic amino acid positions highlighted DRβ1 13 (p = 4.08 × 10(-43)) and HLA-DQα1 47 (p = 4.02 × 10(-46)), 56, and 76 (both p = 1.84 × 10(-45)) as relevant positions for disease susceptibility. Outside the HLA region, the most significant loci included PTPN22 (rs2476601, p = 1.73 × 10(-6), OR = 1.38), LRRC32 (rs10160518, p = 4.39 × 10(-6), OR = 1.20), and REL (rs115674477, p = 1.10 × 10(-5), OR = 1.63). Our study provides evidence of a strong contribution of HLA class I and II molecules to susceptibility to GCA. In the non-HLA region, we confirmed a key role for the functional PTPN22 rs2476601 variant and proposed other putative risk loci for GCA involved in Th1, Th17, and Treg cell function. |
X Demographics
The data shown below were collected from the profiles of 9 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 | 1 | 11% |
| Netherlands | 1 | 11% |
| Unknown | 7 | 78% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 67% |
| Scientists | 2 | 22% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 132 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 16% |
| Researcher | 17 | 13% |
| Student > Bachelor | 11 | 8% |
| Student > Master | 10 | 7% |
| Other | 9 | 7% |
| Other | 31 | 23% |
| Unknown | 36 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 56 | 41% |
| Biochemistry, Genetics and Molecular Biology | 9 | 7% |
| Agricultural and Biological Sciences | 9 | 7% |
| Immunology and Microbiology | 5 | 4% |
| Nursing and Health Professions | 3 | 2% |
| Other | 10 | 7% |
| Unknown | 43 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 24 June 2015.
All research outputs
#6,875,825
of 25,374,647 outputs
Outputs from American Journal of Human Genetics
#3,025
of 5,879 outputs
Outputs of similar age
#74,928
of 277,739 outputs
Outputs of similar age from American Journal of Human Genetics
#37
of 54 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
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 is in the 48th percentile – i.e., 48% 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 277,739 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.