Consortium STD 2, Williams AL, Jacobs SBR, et al. Sequence variants in SLC16A11 are a common risk factor for type 2 diabetes in Mexico. Nature. 2014;506(7486):97-101. doi:10.1038/nature12828
Okada Y, Wu D, Trynka G, et al. Genetics of rheumatoid arthritis contributes to biology and drug discovery. Nature. 2014;506(7488):376-81. doi:10.1038/nature12873
Ananthakrishnan AN, Huang H, Nguyen DD, Sauk J, Yajnik V, Xavier RJ. Differential effect of genetic burden on disease phenotypes in Crohn’s disease and ulcerative colitis: analysis of a North American cohort. Am J Gastroenterol. 2014;109(3):395-400. doi:10.1038/ajg.2013.464
Lemaitre RN, Johnson CO, Hesselson S, et al. Common variation in fatty acid metabolic genes and risk of incident sudden cardiac arrest. Heart Rhythm. 2014;11(3):471-7. doi:10.1016/j.hrthm.2014.01.008
Roberts LD, Boström P, O’Sullivan JF, et al. β-Aminoisobutyric acid induces browning of white fat and hepatic β-oxidation and is inversely correlated with cardiometabolic risk factors. Cell Metab. 2014;19(1):96-108. doi:10.1016/j.cmet.2013.12.003
Florez JC. Insights from monogenic diabetes and glycemic treatment goals for common types of diabetes. JAMA. 2014;311(3):249-51. doi:10.1001/jama.2013.283981
Damotte V, Guillot-Noel L, Patsopoulos NA, et al. A gene pathway analysis highlights the role of cellular adhesion molecules in multiple sclerosis susceptibility. Genes Immun. 2014;15(2):126-32. doi:10.1038/gene.2013.70
Tay Y, Rinn J, Pandolfi PP. The multilayered complexity of ceRNA crosstalk and competition. Nature. 2014;505(7483):344-52. doi:10.1038/nature12986
Ibrahim-Verbaas CA, Fornage M, Bis JC, et al. Predicting stroke through genetic risk functions: the CHARGE Risk Score Project. Stroke. 2014;45(2):403-12. doi:10.1161/STROKEAHA.113.003044
Malik R, Bevan S, Nalls MA, et al. Multilocus genetic risk score associates with ischemic stroke in case-control and prospective cohort studies. Stroke. 2014;45(2):394-402. doi:10.1161/STROKEAHA.113.002938