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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.
Haljas, K.* et al.: Bivariate genome-wide association study of depressive symptoms with type 2 diabetes and quantitative glycemic traits. Psychosom. Med. 80, 242-251 (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.
Tönjes, A.* et al.: Genome-wide meta-analysis identifies novel determinants of circulating serum progranulin. Hum. Mol. Genet. 27, 546-558 (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.
Wagner, R. et al.: Nonsuppressed glucagon after glucose challenge as a potential predictor for glucose tolerance. Diabetes 66, 1373-1379 (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.
Krueger, J.* et al.: Genome wide meta-analysis identifies novel regulators of circulating serum progranulin. Diabetologia 59, S176-S177 (2016)
12.
McCarthy, S.* et al.: A reference panel of 64,976 haplotypes for genotype imputation. Nat. Genet. 48, 1279-1283 (2016)
13.
Surendran, P.* et al.: Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension. Nat. Genet. 48, 1151-1161 (2016)
14.
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)
15.
Fall, T.* et al.: Age- and sex-specific causal effects of adiposity on cardiovascular risk factors. Diabetes 64, 1841-1852 (2015)
16.
Horikoshi, M.* et al.: Discovery and fine-mapping of glycaemic and obesity-related trait loci using high-density imputation. PLoS Genet. 11:e1005230 (2015)
17.
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)
18.
Nelson, C.P.* et al.: Genetically determined height and coronary artery disease. N. Engl. J. Med. 372, 1608-1618 (2015)
19.
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)
20.
Surakka, I.* et al.: The impact of low-frequency and rare variants on lipid levels. Nat. Genet. 47, 589-597 (2015)