PuSH - Publication Server of Helmholtz Zentrum München

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1.
Justice, A.E.* et al.: Protein-coding variants implicate novel genes related to lipid homeostasis contributing to body-fat distribution. Nat. Genet. 51, 452–469 (2019)
2.
Flannick, J.* et al.: Sequence data and association statistics from 12,940 type 2 diabetes cases and controls. Sci. Data 5:180002 (2018)
3.
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)
4.
Mahajan, A.* et al.: Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps. Nat. Genet. 50, 1505-1513 (2018)
5.
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)
6.
Flannick, J.* et al.: Sequence data and association statistics from 12,940 type 2 diabetes cases and controls. Sci. Data 4:170179 (2017)
7.
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)
8.
Scott, R.A.* et al.: An expanded genome-wide association study of type 2 diabetes in Europeans. Diabetes 66, 2888-2902 (2017)
9.
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)
10.
Fuchsberger, C.* et al.: The genetic architecture of type 2 diabetes. Nature 536, 41-47 (2016)
11.
Walford, G.A.* et al.: Genome-wide association study of the modified Stumvoll Insulin Sensitivity Index identifies BCL2 and FAM19A2 as novel insulin sensitivity loci. Diabetes 65, 3200-3211 (2016)
12.
Gaulton, K.J.* et al.: Genetic fine mapping and genomic annotation defines causal mechanisms at type 2 diabetes susceptibility loci. Nat. Genet. 47, 1415-1425 (2015)
13.
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)
14.
Papandonatos, G.D.* et al.: Genetic predisposition to weight loss and regain with lifestyle intervention: Analyses from the Diabetes Prevention Program and the Look AHEAD randomized controlled trials. Diabetes 64, 4312-4321 (2015)
15.
Segrè, A.V.* ; Wei, N.* & DIAGRAM Consortium (Florez, J.C* ; Klopp, N. ; Illig, T. ; Müller-Nurasyid, M. ; Peters, A.): Pathways targeted by antidiabetes drugs are enriched for multiple genes associated with type 2 diabetes risk. Diabetes 64, 1470-1483 (2015)
16.
Vimaleswaran, K.S.* et al.: Association of vitamin D status with arterial blood pressure and hypertension risk: A mendelian randomisation study. Lancet Diabet. Endocrinol. 2, 719-729 (2014)
17.
Dimas, A.S.* et al.: Impact of type 2 diabetes susceptibility variants on quantitative glycemic traits reveals mechanistic heterogeneity. Diabetes 63, 2158-2171 (2013)
18.
Prudente, S.* et al.: The SH2B1 obesity locus and abnormal glucose homeostasis: Lack of evidence for association from a meta-analysis in individuals of European ancestry. Nutr. Metab. Cardiovasc. Dis. 23, 1043-1049 (2013)
19.
Billings, L.K.* et al.: Impact of common variation in bone-related genes on type 2 diabetes and related traits. Diabetes 61, 2176-2186 (2012)
20.
Dastani, Z.* et al.: Novel loci for adiponectin levels and their influence on type 2 diabetes and metabolic traits: A multi-ethnic meta-analysis of 45,891 individuals. PLoS Genet. 8:e1002607 (2012)