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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.
Tönjes, A.* et al.: Genome-wide meta-analysis identifies novel determinants of circulating serum progranulin. Hum. Mol. Genet. 27, 546-558 (2018)
3.
van Zuydam, N.R.* et al.: A genome-wide association study of diabetic kidney disease in subjects with type 2 diabetes. Diabetes 67, 1414-1427 (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.
Wheeler, E.* et al.: Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis. PLoS Med. 14:e1002383 (2017)
7.
Fuchsberger, C.* et al.: The genetic architecture of type 2 diabetes. Nature 536, 41-47 (2016)
8.
Krueger, J.* et al.: Genome wide meta-analysis identifies novel regulators of circulating serum progranulin. Diabetologia 59, S176-S177 (2016)
9.
Fall, T.* et al.: Age- and sex-specific causal effects of adiposity on cardiovascular risk factors. Diabetes 64, 1841-1852 (2015)
10.
Horikoshi, M.* et al.: Discovery and fine-mapping of glycaemic and obesity-related trait loci using high-density imputation. PLoS Genet. 11:e1005230 (2015)
11.
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)
12.
Spjuth, O.* et al.: Harmonising and linking biomedical and clinical data across disparate data archives to enable integrative cross-biobank research. Eur. J. Hum. Genet. 24, 521-528 (2015)
13.
Surakka, I.* et al.: The impact of low-frequency and rare variants on lipid levels. Nat. Genet. 47, 589-597 (2015)
14.
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)
15.
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)
16.
Keildson, S.* et al.: Expression of phosphofructokinase in skeletal muscle is influenced by genetic variation and associated with insulin sensitivity. Diabetes 63, 1154-1165 (2014)
17.
Albrechtsen, A.* et al.: Exome sequencing-driven discovery of coding polymorphisms associated with common metabolic phenotypes. Diabetologia 56, 298-310 (2013)
18.
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)
19.
Fall, T.* et al.: The role of adiposity in cardiometabolic traits: A mendelian randomization analysis. PLoS Med. 10:e1001474 (2013)
20.
Lagou, V.* et al.: Pleiotropic effects on lipid levels and obesity identified in multi-trait meta-analysis of genome-wide association studies (GWAS) of type 2 diabetes related traits. Diabetologia 56, S60 (2013)