Network-based Multiple Sclerosis Pathway Analysis with GWAS Data from 15,000 Cases and 30,000 Controls.
Sergio E. Baranzini,Pouya Khankhanian,Nikolaos A. Patsopoulos, Michael Li, Jim Stankovich,Chris Cotsapas,Helle Bach Sondergaard,Maria Ban,Nadia Barizzone,Laura Bergamaschi,David Booth,Dorothea Buck, Paola Cavalla,Elisabeth G. Celius,Manuel Comabella,Giancarlo Comi,Alastair Compston,Isabelle Cournu-Rebeix,Sandra D'alfonso,Vincent Damotte,Lennox Din, Benedicte Dubois,Irina Elovaara, Federica Esposito,Bertrand Fontaine, Andre Franke, An Goris, Pierre-Antoine Gourraud,Christiane Graetz,Franca R. Guerini,Lena Guillot-Noel,David Hafler, Hakon Hakonarson, Per Hall, Anders Hamsten, Hanne F. Harbo,Bernhard Hemmer,Jan Hillert,Anu Kemppinen, Ingrid Kockum,Keijo Koivisto,, Mark Lathrop,Maurizio Leone,Christina M. Lill, Fabio Macciardi, Roland Martin, Vittorio Martinelli,Filippo Martinelli-Boneschi, Jacob L. McCauley,Kjell-Morten Myhr,Paola Naldi,Tomas Olsson,Annette Oturai, Margaret A. Pericak-Vance,Franco Perla,Mauri Reunanen, Janna Saarela,Safa Saker-Delye, Marco Salvetti, Finn Sellebjerg,Per Soelberg Sorensen,Anne Spurkland,Graeme Stewart, Bruce Taylor,Pentti Tienari,Juliane Winkelmann,Frauke Zipp,Adrian J. Ivinson, Jonathan L. Haines,Stephen Sawcer, Philip DeJager, Stephen L. Hauser, Jorge R. Oksenberg AMERICAN JOURNAL OF HUMAN GENETICS（2013）
Key words
Pathway Analysis,Gene Set Enrichment Analysis
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper