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. Author manuscript; available in PMC: 2016 Sep 20.
Published in final edited form as: Clin Chim Acta. 2015 Feb 4;449:16–22. doi: 10.1016/j.cca.2015.01.034

Table 1.

Genome wide association studies and meta-analyses in multiple sclerosis.

Study Number of Cases Number of Controls Tested polymorphisms Significant non-MHC loci (novel)
IMSGC (2007) [42] 931 1862 334923 2
WTCCC1 (2007) [84] 975 1466 12374 0
Comabella (2008) [85] 242 242 528867 0
Aulchenko (2008) [86] 45 195 250000 1*
Baranzini (2009) [87] 978 883 551642 0
De Jager (2009) [88] 860 1720 709690 3*
ANZgene (2009) [89] 1618 3413 302098 2
Sanna (2010) [90] 882 872 555335 1*
Nischwitz (2010) [91] 590 825 300000 3
Jakkula (2010) [92] 68 136 297343 1*
IMSGC and WTCCC2 (2011) [33] 9772 17376 475806 29*
Patsopoulos (2011) [93] 1453 2176 906600 3*
Matesanz (2012) [94] 296 801 130903 0
Martinelli-Boneschi (2012) [95] 197 234 277866 0

Case and control numbers refer to discovery datasets.

*

Studies that applied the conventional genome-wide significant threshold (P< 5×10−8); for the others, an arbitrary threshold (P≤10−7) was used to identify the significant loci.

Studies based on meta-analysis.