Hägg S, Ganna A, van der Laan SW, et al. Gene-based meta-analysis of genome-wide association studies implicates new loci involved in obesity. Hum Mol Genet. 2015;24(23):6849-60. doi:10.1093/hmg/ddv379
Rosen ED, Spiegelman BM. What we talk about when we talk about fat. Cell. 2014;156(1-2):20-44. doi:10.1016/j.cell.2013.12.012
Nead KT, Li A, Wehner MR, et al. Contribution of common non-synonymous variants in PCSK1 to body mass index variation and risk of obesity: a systematic review and meta-analysis with evidence from up to 331 175 individuals. Hum Mol Genet. 2015;24(12):3582-94. doi:10.1093/hmg/ddv097
Kogelman LJA, Zhernakova DV, Westra HJ, et al. An integrative systems genetics approach reveals potential causal genes and pathways related to obesity. Genome Med. 2015;7:105. doi:10.1186/s13073-015-0229-0
Chan Y, Lim ET, Sandholm N, et al. An excess of risk-increasing low-frequency variants can be a signal of polygenic inheritance in complex diseases. Am J Hum Genet. 2014;94(3):437-52. doi:10.1016/j.ajhg.2014.02.006
Huffman JE, Albrecht E, Teumer A, et al. Modulation of genetic associations with serum urate levels by body-mass-index in humans. PLoS One. 2015;10(3):e0119752. doi:10.1371/journal.pone.0119752
Felix JF, Bradfield JP, Monnereau C, et al. Genome-wide association analysis identifies three new susceptibility loci for childhood body mass index. Hum Mol Genet. 2016;25(2):389-403. doi:10.1093/hmg/ddv472
Wählby C, Conery AL, Bray MA, et al. High- and low-throughput scoring of fat mass and body fat distribution in C. elegans. Methods. 2014;68(3):492-9. doi:10.1016/j.ymeth.2014.04.017
Miao J, Ling AV, Manthena PV, et al. Flavin-containing monooxygenase 3 as a potential player in diabetes-associated atherosclerosis. Nat Commun. 2015;6:6498. doi:10.1038/ncomms7498
Gusev A, Ko A, Shi H, et al. Integrative approaches for large-scale transcriptome-wide association studies. Nat Genet. 2016;48(3):245-52. doi:10.1038/ng.3506