Stranger BE, De Jager PL. Coordinating GWAS results with gene expression in a systems immunologic paradigm in autoimmunity. Curr Opin Immunol. 2012;24(5):544-51. doi:10.1016/j.coi.2012.09.002
Lee PH, Perlis RH, Jung JY, et al. Multi-locus genome-wide association analysis supports the role of glutamatergic synaptic transmission in the etiology of major depressive disorder. Transl Psychiatry. 2012;2:e184. doi:10.1038/tp.2012.95
Smith G, Avery CL, Evans DS, et al. Impact of ancestry and common genetic variants on QT interval in African Americans. Circ Cardiovasc Genet. 2012;5(6):647-55. doi:10.1161/CIRCGENETICS.112.962787
Vilhjálmsson BJ, Nordborg M. The nature of confounding in genome-wide association studies. Nat Rev Genet. 2013;14(1):1-2. doi:10.1038/nrg3382
Palotie A, Widén E, Ripatti S. From genetic discovery to future personalized health research. N Biotechnol. 2013;30(3):291-5. doi:10.1016/j.nbt.2012.11.013
Hoffman MM, Ernst J, Wilder SP, et al. Integrative annotation of chromatin elements from ENCODE data. Nucleic Acids Res. 2013;41(2):827-41. doi:10.1093/nar/gks1284
Diogo D, Kurreeman F, Stahl EA, et al. Rare, low-frequency, and common variants in the protein-coding sequence of biological candidate genes from GWASs contribute to risk of rheumatoid arthritis. Am J Hum Genet. 2013;92(1):15-27. doi:10.1016/j.ajhg.2012.11.012
Rossin EJ, Lage K, Raychaudhuri S, et al. Proteins encoded in genomic regions associated with immune-mediated disease physically interact and suggest underlying biology. PLoS Genet. 2011;7(1):e1001273. doi:10.1371/journal.pgen.1001273
Orvedahl A, Sumpter R, Xiao G, et al. Image-based genome-wide siRNA screen identifies selective autophagy factors. Nature. 2011;480(7375):113-7. doi:10.1038/nature10546
Zhu J, Adli M, Zou JY, et al. Genome-wide chromatin state transitions associated with developmental and environmental cues. Cell. 2013;152(3):642-54. doi:10.1016/j.cell.2012.12.033