Title |
Population‐specific frequencies for LRRK2 susceptibility variants in the genetic epidemiology of Parkinson's disease (GEO‐PD) consortium
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Published in |
Movement Disorders, August 2013
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DOI | 10.1002/mds.25600 |
Pubmed ID | |
Authors |
Michael G. Heckman, Alexandra I. Soto‐Ortolaza, Jan O. Aasly, Nadine Abahuni, Grazia Annesi, Justin A. Bacon, Soraya Bardien, Maria Bozi, Alexis Brice, Laura Brighina, Jonathan Carr, Marie‐Christine Chartier‐Harlin, Efthimios Dardiotis, Dennis W. Dickson, Nancy N. Diehl, Alexis Elbaz, Carlo Ferrarese, Brian Fiske, J. Mark Gibson, Rachel Gibson, Georgios M. Hadjigeorgiou, Nobutaka Hattori, John P.A. Ioannidis, Magdalena Boczarska‐Jedynak, Barbara Jasinska‐Myga, Beom S. Jeon, Yun Joong Kim, Christine Klein, Rejko Kruger, Elli Kyratzi, Suzanne Lesage, Chin‐Hsien Lin, Timothy Lynch, Demetrius M. Maraganore, George D. Mellick, Eugénie Mutez, Christer Nilsson, Grzegorz Opala, Sung Sup Park, Simona Petrucci, Andreas Puschmann, Aldo Quattrone, Manu Sharma, Peter A. Silburn, Young Ho Sohn, Leonidas Stefanis, Vera Tadic, Jessie Theuns, Hiroyuki Tomiyama, Ryan J. Uitti, Enza Maria Valente, Christine Van Broeckhoven, Simone van de Loo, Demetrios K. Vassilatis, Carles Vilariño‐Güell, Linda R. White, Karin Wirdefeldt, Zbigniew K. Wszolek, Ruey‐Meei Wu, Faycal Hentati, Matthew J. Farrer, Owen A. Ross, on behalf of the Genetic Epidemiology of Parkinson's Disease Consortium |
Abstract |
Variants within the leucine-rich repeat kinase 2 gene are recognized as the most frequent genetic cause of Parkinson's disease. Leucine-rich repeat kinase 2 variation related to disease susceptibility displays many features that reflect the nature of complex, late-onset sporadic disorders like Parkinson's disease. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 1% |
Unknown | 78 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 15 | 19% |
Student > Master | 11 | 14% |
Student > Ph. D. Student | 8 | 10% |
Other | 7 | 9% |
Professor > Associate Professor | 5 | 6% |
Other | 14 | 18% |
Unknown | 19 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 14 | 18% |
Agricultural and Biological Sciences | 14 | 18% |
Neuroscience | 10 | 13% |
Biochemistry, Genetics and Molecular Biology | 9 | 11% |
Engineering | 3 | 4% |
Other | 6 | 8% |
Unknown | 23 | 29% |