PuSH - Publication Server of Helmholtz Zentrum München

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1.
Jiang, X.* et al.: Genome-wide association study in 79,366 European-ancestry individuals informs the genetic architecture of 25-hydroxyvitamin D levels. Nat. Commun. 9:260 (2018)
2.
Riedl, A. et al.: Identification of comprehensive metabotypes associated with cardiometabolic diseases in the population-based KORA study. Mol. Nutr. Food Res. 62:1800117 (2018)
3.
Entenmann, L.* et al.: Comprehensive metabolic characterization of serum osteocalcin action in a large non-diabetic sample. PLoS ONE 12:e0184721 (2017)
4.
Piontek, U.* et al.: Sex-specific metabolic profiles of androgens and its main binding protein SHBG in a middle aged population without diabetes. Sci. Rep. 7:2235 (2017)
5.
Knacke, H.* et al.: Metabolic fingerprints of circulating IGF-I and the IGF-I/IGFBP-3 ration: A multi-fluid metabolomics study. J. Clin. Endocrinol. Metab. 101, 4730-4742:jc20162588 (2016)
6.
Lu, Y.* et al.: New loci for body fat percentage reveal link between adiposity and cardiometabolic disease risk. Nat. Commun. 7:10495 (2016)
7.
Pattaro, C.* et al.: Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nat. Commun. 7:10023 (2016)
8.
Teumer, A.* et al.: Genome-wide association studies identify genetic loci associated with albuminuria in diabetes. Diabetes 65, 803-817 (2016)
9.
Winkler, T.W.* et al.: Correction: The influence of age and sex on genetic associations with adult body size and shape: A large-scale genome-wide interaction study. PLoS Genet. 12:e1006166 (2016)
10.
Aumann, N.* et al.: Regional variation of chronic kidney disease in Germany: Results from two population-based surveys. Kidney Blood Press. Res. 40, 231-243 (2015)
11.
Friedrich, N.* et al.: Sex differences in urine metabolites related with risk of diabetes using NMR spectroscopy: Results of the study of health in pomerania. Metabolomics 11, 1405-1415 (2015)
12.
Homuth, G.* et al.: Extensive alterations of the whole-blood transcriptome are associated with body mass index: Results of an mRNA profiling study involving two large population-based cohorts. BMC Med. Genomics 8:65 (2015)
13.
Lieb, W.* et al.: Genome-wide meta-analyses of plasma renin activity and concentration reveal association with the kininogen 1 and prekallikrein genes. Circ. Cardiovasc. Genet. 8, 131-140 (2015)
14.
Locke, A.E.* et al.: Genetic studies of body mass index yield new insights for obesity biology. Nature 518, 197-206 (2015)
15.
Raffler, J. et al.: Genome-wide association study with targeted and non-targeted NMR metabolomics identifies 15 novel loci of urinary human metabolic individuality. PLoS Genet. 11:e1005487 (2015)
16.
Winkler, T.W.* et al.: The influence of age and sex on genetic associations with adult body size and shape: A large-scale genome-wide interaction study. PLoS Genet. 11:e1005378 (2015)
17.
Baumert, J.J. et al.: No evidence for genome-wide interactions on plasma fibrinogen by smoking, alcohol consumption and body mass index: Results from meta-analyses of 80,607 subjects. PLoS ONE 9:e111156 (2014)
18.
Bidlingmaier, M. et al.: Reference intervals for Insulin-like Growth Factor-1 (IGF-1) from birth to senescence: Results from a multicenter study using a new automated chemiluminescence IGF-1 immunoassay conforming to recent international recommendations. J. Clin. Endocrinol. Metab. 9, 1712-1721 (2014)
19.
Burkhardt, K. et al.: TSH-Referenzbereich bei süddeutschen Erwachsenen: Ergebnisse aus der bevölkerungsbasierten KORA F4-Studie. Dtsch. Med. Wochenschr. 139, 317-322 (2014)
20.
Friedrich, N.* et al.: Age- and sex-specific reference intervals across life span for Insulin-like Growth Factor Binding Protein 3 (IGFBP-3) and the IGF-i to IGFBP-3 ratio measured by new automated chemiluminescence assays. J. Clin. Endocrinol. Metab. 99, 1675-1686 (2014)