PuSH - Publication Server of Helmholtz Zentrum München

314 Records found.
Zum Exportieren der Ergebnisse bitte einloggen.
Lay all publications on this page into basket
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.
Karasik, D.* et al.: Disentangling the genetics of lean mass. Am. J. Clin. Nutr. 109, 276-287 (2019)
3.
Liu, J.* et al.: An integrative cross-omics analysis of DNA methylation sites of glucose and insulin homeostasis. Nat. Commun. 10:2581 (2019)
4.
Matejka, K. et al.: Dynamic modelling of an ACADS genotype in fatty acid oxidation - Application of cellular models for the analysis of common genetic variants. PLoS ONE 14:e0216110 (2019)
5.
Mitry, P. et al.: Associations between usual food intake and fecal sterols and bile acids: Results from the KORA FF4 study. Br. J. Nutr., accepted (2019)
6.
Skaaby, T.* et al.: Association of alcohol consumption with allergic disease and asthma: A multi-centre Mendelian randomization analysis. Addiction 114, 216-225 (2019)
7.
Spracklen, C.N.* et al.: Exome-Derived Adiponectin-Associated Variants Implicate Obesity and Lipid Biology. Am. J. Hum. Genet. 105, 15-28 (2019)
8.
Varzari, A.* et al.: Genetic variation in TLR pathway and the risk of pulmonary tuberculosis in a Moldavian population. Infect. Genet. Evol. 68, 84-90 (2019)
9.
Wittenbecher, C.* et al.: Insulin-like growth factor binding protein 2 (IGFBP-2) and the risk of developing type 2 diabetes. Diabetes 68, 188-197 (2019)
10.
Aslibekyan, S.* et al.: Association of methylation signals with incident coronary heart disease in an epigenome-wide assessment of circulating tumor necrosis factor. JAMA Cardiol. 3, 463-472 (2018)
11.
Benedetti, E. et al.: Erratum: Publisher Correction: Network inference from glycoproteomics data reveals new reactions in the IgG glycosylation pathway (Nature communications (2017) 8 1 (1483)). Nat. Commun. 9:706 (2018)
12.
Do, K.T. et al.: Characterization of missing values in untargeted MS-based metabolomics data and evaluation of missing data handling strategies. Metabolomics 14:128 (2018)
13.
Elhadad, M.A. et al.: Using the plasma proteome to decipher metabolic syndrome pathophysiology and discover a diagnostic biomarker panel. Eur. Heart J. 39, 998-998 (2018)
14.
Flannick, J.* et al.: Sequence data and association statistics from 12,940 type 2 diabetes cases and controls. Sci. Data 5:180002 (2018)
15.
Fritsche, L. et al.: Genetic variation in TCF7L2 rs7903146 and history of GDM negatively and independently impact on diabetes-associated metabolic traits. Diabetes Res. Clin. Pract. 146, 251-257 (2018)
16.
Gerlini, R. et al.: Glucose tolerance and insulin sensitivity define adipocyte transcriptional programs in human obesity. Mol. Metab. 18, 42-50 (2018)
17.
Giuranna, J.* et al.: The effect of SH2B1 variants on expression of leptin- and insulin-induced pathways in murine hypothalamus. Obes. Facts 11, 93-108 (2018)
18.
Kesselmeier, M.* et al.: High-throughput DNA methylation analysis in anorexia nervosa confirms TNXB hypermethylation. World J. Biol. Psychiatry 19, 187-199 (2018)
19.
Klarin, D.* et al.: Genetics of blood lipids among similar to 300,000 multi-ethnic participants of the Million Veteran Program. Nat. Genet. 50, 1514-1523 (2018)
20.
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)