Ombrello MJ, Remmers EF, Tachmazidou I, et al. HLA-DRB1*11 and variants of the MHC class II locus are strong risk factors for systemic juvenile idiopathic arthritis. Proc Natl Acad Sci U S A. 2015;112(52):15970-5. doi:10.1073/pnas.1520779112
Okada Y, Raj T, Yamamoto K. Ethnically shared and heterogeneous impacts of molecular pathways suggested by the genome-wide meta-analysis of rheumatoid arthritis. Rheumatology (Oxford). 2016;55(1):186-9. doi:10.1093/rheumatology/kev314
Voight BF, Scott LJ, Steinthorsdottir V, et al. Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis. Nat Genet. 2010;42(7):579-89. doi:10.1038/ng.609
Holliday EG, Traylor M, Malik R, et al. Genetic overlap between diagnostic subtypes of ischemic stroke. Stroke. 2015;46(3):615-9. doi:10.1161/STROKEAHA.114.007930
Winkler TW, Day FR, Croteau-Chonka DC, et al. Quality control and conduct of genome-wide association meta-analyses. Nat Protoc. 2014;9(5):1192-212. doi:10.1038/nprot.2014.071
Okada Y, Diogo D, Greenberg JD, et al. Integration of sequence data from a Consanguineous family with genetic data from an outbred population identifies PLB1 as a candidate rheumatoid arthritis risk gene. PLoS One. 2014;9(2):e87645. doi:10.1371/journal.pone.0087645
Liu DJ, Peloso GM, Zhan X, et al. Meta-analysis of gene-level tests for rare variant association. Nat Genet. 2014;46(2):200-4. doi:10.1038/ng.2852
Scharf JM, Yu D, Mathews CA, et al. Genome-wide association study of Tourette’s syndrome. Mol Psychiatry. 2013;18(6):721-8. doi:10.1038/mp.2012.69
Chen H, Manning AK, Dupuis J. A method of moments estimator for random effect multivariate meta-analysis. Biometrics. 2012;68(4):1278-84. doi:10.1111/j.1541-0420.2012.01761.x
Patsopoulos NA, Bayer Pharma MS Genetics Working Group, Steering Committees of Studies Evaluating IFNβ-1b and a CCR1-Antagonist, et al. Genome-wide meta-analysis identifies novel multiple sclerosis susceptibility loci. Ann Neurol. 2011;70(6):897-912. doi:10.1002/ana.22609