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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.
Mahajan, A.* et al.: Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes. Nat. Genet. 50, 559-571 (2018)
3.
Tönjes, A.* et al.: Genome-wide meta-analysis identifies novel determinants of circulating serum progranulin. Hum. Mol. Genet. 27, 546-558 (2018)
4.
Flannick, J.* et al.: Sequence data and association statistics from 12,940 type 2 diabetes cases and controls. Sci. Data 4:170179 (2017)
5.
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)
6.
Scott, R.A.* et al.: An expanded genome-wide association study of type 2 diabetes in Europeans. Diabetes 66, 2888-2902 (2017)
7.
Fuchsberger, C.* et al.: The genetic architecture of type 2 diabetes. Nature 536, 41-47 (2016)
8.
Mahajan, A.* et al.: Identification and functional characterization of G6PC2 coding variants influencing glycemic traits define an effector transcript at the G6PC2-ABCB11 locus. PLoS Genet. 11:e1004876 (2015)
9.
Tönjes, A.* et al.: Genome wide meta-analysis highlights the role of genetic variation in RARRES2 in the regulation of circulating serum chemerin. PLoS Genet. 10:e1004854 (2015)
10.
Breitfeld, J.* et al.: Genome wide meta-analysis highlights the role of genetic variation in RARRES2 in regulation of circulating serum chemerin. Diabetologia 57, S67-S68 (2014)
11.
Flannick, J.* et al.: Loss-of-function mutations in SLC30A8 protect against type 2 diabetes. Nat. Genet. 46, 357-363 (2014)
12.
den Hoed, M.* et al.: Identification of heart rate-associated loci and their effects on cardiac conduction and rhythm disorders. Nat. Genet. 45, 621-631 (2013)
13.
Fall, T.* et al.: The role of adiposity in cardiometabolic traits: A mendelian randomization analysis. PLoS Med. 10:e1001474 (2013)
14.
Morris, A.P.* et al.: Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes. Nat. Genet. 44, 981-990 (2012)
15.
Heid, I.M. et al.: Corrigendum: Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution. Nat. Genet. 43, 1164 (2011)
16.
Kilpeläinen, T.O.* et al.: Genetic variation near IRS1 associates with reduced adiposity and an impaired metabolic profile. Nat. Genet. 43, 753-760 (2011)
17.
Kilpeläinen, T.O.* et al.: Physical activity attenuates the influence of FTO variants on obesity risk: A meta-analysis of 218,166 adults and 19,268 children. PLoS Med. 8:e1001116 (2011)
18.
Strawbridge, R.J.* et al.: Genome-wide association identifies nine common variants associated with fasting proinsulin levels and provides new insights into the pathophysiology of type 2 diabetes. Diabetes 60, 2624-2634 (2011)
19.
Dupuis, J.* et al.: New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk. Nat. Genet. 42, 105-116 (2010)
20.
Heid, I.M. et al.: Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution. Nat. Genet. 42, 949-960 (2010)