Fuchsberger C, Flannick J, Teslovich TM, et al. The genetic architecture of type 2 diabetes. Nature. 2016;536(7614):41-7. doi:10.1038/nature18642
Karnes JH, Bastarache L, Shaffer CM, et al. Phenome-wide scanning identifies multiple diseases and disease severity phenotypes associated with HLA variants. Sci Transl Med. 2017;9(389). doi:10.1126/scitranslmed.aai8708
Winsvold BS, Bettella F, Witoelar A, et al. Shared genetic risk between migraine and coronary artery disease: A genome-wide analysis of common variants. PLoS One. 2017;12(9):e0185663. doi:10.1371/journal.pone.0185663
Went M, Sud A, Law PJ, et al. Assessing the effect of obesity-related traits on multiple myeloma using a Mendelian randomisation approach. Blood Cancer J. 2017;7(6):e573. doi:10.1038/bcj.2017.48
Lencer R, Mills LJ, Alliey-Rodriguez N, et al. Genome-wide association studies of smooth pursuit and antisaccade eye movements in psychotic disorders: findings from the B-SNIP study. Transl Psychiatry. 2017;7(10):e1249. doi:10.1038/tp.2017.210
Lee JJ, Wedow R, Okbay A, et al. Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. Nat Genet. 2018;50(8):1112-1121. doi:10.1038/s41588-018-0147-3
May-Wilson S, Sud A, Law PJ, et al. Pro-inflammatory fatty acid profile and colorectal cancer risk: A Mendelian randomisation analysis. Eur J Cancer. 2017;84:228-238. doi:10.1016/j.ejca.2017.07.034
Udler MS, Kim J, von Grotthuss M, et al. Type 2 diabetes genetic loci informed by multi-trait associations point to disease mechanisms and subtypes: A soft clustering analysis. PLoS Med. 2018;15(9):e1002654. doi:10.1371/journal.pmed.1002654
Savage JE, Jansen PR, Stringer S, et al. Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence. Nat Genet. 2018;50(7):912-919. doi:10.1038/s41588-018-0152-6
Song M, Zheng Y, Qi L, Hu FB, Chan AT, Giovannucci EL. Longitudinal Analysis of Genetic Susceptibility and BMI Throughout Adult Life. Diabetes. 2018;67(2):248-255. doi:10.2337/db17-1156