Article
Genome-wide meta-analysis identifies novel multiple sclerosis susceptibility loci.
Annals of neurology - 1 Dec 2011
Patsopoulos Nikolaos A, Esposito Federica, Reischl Joachim, Lehr Stephan, Bauer David, Heubach Jürgen, Sandbrink Rupert, Pohl Christoph, Edan Gilles, Kappos Ludwig, Miller David, Montalbán Javier, Polman Chris H, Freedman Mark S, Hartung Hans-Peter, Arnason Barry G W, Comi Giancarlo, Cook Stuart, Filippi Massimo, Goodin Douglas S, Jeffery Douglas, O'Connor Paul, Ebers George C, Langdon Dawn, Reder Anthony T, Traboulsee Anthony, Zipp Frauke, Schimrigk Sebastian, Hillert Jan, Bahlo Melanie, Booth David R, Broadley Simon, Brown Matthew A, Browning Brian L, Browning Sharon R, Butzkueven Helmut, Carroll William M, Chapman Caron, Foote Simon J, Griffiths Lyn, Kermode Allan G, Kilpatrick Trevor J, Lechner-Scott Jeanette, Marriott Mark, Mason Deborah, Moscato Pablo, Heard Robert N, Pender Michael P, Perreau Victoria M, Perera Devindri, Rubio Justin P, Scott Rodney J, Slee Mark, Stankovich Jim, Stewart Graeme J, Taylor Bruce V, Tubridy Niall, Willoughby Ernest, Wiley James, Matthews Paul, Boneschi Filippo M, Compston Alastair, Haines Jonathan, Hauser Stephen L, McCauley Jacob, Ivinson Adrian, Oksenberg Jorge R, Pericak-Vance Margaret, Sawcer Stephen J, De Jager Philip L, Hafler David A, de Bakker Paul I W
Abstract excerpt
OBJECTIVE: To perform a 1-stage meta-analysis of genome-wide association studies (GWAS) of multiple sclerosis (MS) susceptibility and to explore functional consequences of new susceptibility loci. METHODS: We synthesized 7 MS GWAS. Each data set was imputed using HapMap phase II, and a per single nucleotide polymorphism (SNP) meta-analysis was performed across the 7 data sets. We explored RNA expression data...
Read the complete abstract on PubMed