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Karasik, D.* et al.: Disentangling the genetics of lean mass. Am. J. Clin. Nutr. 109, 276-287 (2019)
Ligthart, S.* et al.: Genome analyses of >200,000 individuals identify 58 loci for chronic inflammation and highlight pathways that link inflammation and complex disorders. Am. J. Hum. Genet. 103, 691-706 (2018)
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)
Rosendahl, J.* et al.: Genome-wide association study identifies inversion in the CTRB1-CTRB2 locus to modify risk for alcoholic and non-alcoholic chronic pancreatitis. Gut 67, 1855–186 (2018)
Teumer, A.* et al.: Genome-wide analyses identify a role for SLC17A4 and AADAT in thyroid hormone regulation. Nat. Commun. 9:4455 (2018)
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)
Schormair, B. et al.: Identification of novel risk loci for restless legs syndrome: A meta-analysis of genome-wide association studies in individuals of European ancestry: A meta-analysis. Lancet Neurol. 16, 898–907 (2017)
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)
Zillikens, M.C.* et al.: Large meta-analysis of genome-wide association studies identifies five loci for lean body mass. Nat. Commun. 8:80 (2017)
Zillikens, M.C.* et al.: Erratum: Large meta-analysis of genome-wide association studies identifies five loci for lean body mass. Nat. Commun. 8:1414 (2017)
McCarthy, S.* et al.: A reference panel of 64,976 haplotypes for genotype imputation. Nat. Genet. 48, 1279-1283 (2016)
Pattaro, C.* et al.: Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nat. Commun. 7:10023 (2016)
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)
Teumer, A.* et al.: Genome-wide association studies identify genetic loci associated with albuminuria in diabetes. Diabetes 65, 803-817 (2016)
Yet, I.* et al.: Genetic influences on metabolite levels: A comparison across metabolomic platforms. PLoS ONE 11:e0153672 (2016)
Interleukin 1 Genetics Consortium et al.: Cardiometabolic effects of genetic upregulation of the interleukin 1 receptor antagonist: A mendelian randomisation analysis. Lancet Diabet. Endocrinol. 3, 243-253 (2015)
Huffman, J.E.* et al.: Modulation of genetic associations with serum urate levels by body-mass-index in humans. PLoS ONE 10:e0119752 (2015)
Joshi, P.K.* et al.: Directional dominance on stature and cognition in diverse human populations. Nature 523, 459-462 (2015)
Menni, C.* et al.: Metabolomic identification of a novel pathway of blood pressure regulation involving hexadecanedioate. Hypertension 66, 422-429 (2015)
Tsepilov, Y.A. et al.: Non-additive effects of genes in human metabolomics. Genetics 200, 707-718 (2015)