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1.
Flannick, J.* et al.: Sequence data and association statistics from 12,940 type 2 diabetes cases and controls. Sci. Data 5:180002 (2018)
2.
Flannick, J.* et al.: Sequence data and association statistics from 12,940 type 2 diabetes cases and controls. Sci. Data 4:170179 (2017)
3.
Li, M.* et al.: SOS2 and ACP1 loci identified through large-scale exome chip analysis regulate kidney development and function. J. Am. Soc. Nephrol. 28, 981-994 (2017)
4.
Manning, A.* et al.: A low-frequency inactivating Akt2 variant enriched in the Finnish population is associated with fasting insulin levels and type 2 diabetes risk. Diabetes 66, 2019-2032 (2017)
5.
Fuchsberger, C.* et al.: The genetic architecture of type 2 diabetes. Nature 536, 41-47 (2016)
6.
Albrechtsen, A.* et al.: Exome sequencing-driven discovery of coding polymorphisms associated with common metabolic phenotypes. Diabetologia 56, 298-310 (2013)
7.
Burgdorf, K.S.* et al.: Studies of the association of Arg72Pro of tumor suppressor protein p53 with type 2 diabetes in a combined analysis of 55,521 Europeans. PLoS ONE 6:e15813 (2011)
8.
Jafar-Mohammadi, B.* et al.: A role for coding functional variants in HNF4A in type 2 diabetes susceptibility. Diabetologia 54, 111-119 (2011)
9.
Perry, J.R.B.* et al.: Genetic evidence that raised sex hormone binding globulin (SHBG) levels reduce the risk of type 2 diabetes. Hum. Mol. Genet. 19, 535-544 (2010)
10.
Saxena, R.* et al.: Genetic variation in GIPR influences the glucose and insulin responses to an oral glucose challenge. Nat. Genet. 42, 142-148 (2010)
11.
Voight, B.F.* et al.: Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis. Nat. Genet. 42, 579-589 (2010)
12.
Zeggini, E.* et al.: Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes. Nat. Genet. 40, 638-645 (2008)