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.
Lane, J.M.* et al.: Biological and clinical insights from genetics of insomnia symptoms. Nat. Genet. 51, 387-393 (2019)
3.
Mascalzoni, D.* et al.: Are requirements to deposit data in research repositories compatible with the european union's general data protection regulation? In:. Independence Mall West 6th And Race St, Philadelphia, Pa 19106-1572 Usa: Amer Coll Physicians, 2019. 332-335 (Ann. Intern. Med. ; 170)
4.
Ferreira, M.A.* et al.: Shared genetic origin of asthma, hay fever and eczema elucidates allergic disease biology. Nat. Genet. 49, 1752-1757 (2017)
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Justice, A.E.* et al.: Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits. Nat. Commun. 8:14977 (2017)
6.
Lu, X.* et al.: Exome chip meta-analysis identifies novel loci and East Asian-specific coding variants that contribute to lipid levels and coronary artery disease. Nat. Genet. 49, 1722–1730 (2017)
7.
van Waateringe, R.P.* et al.: Influence of storage and inter- and Intra-assay variability on the measurement of inflammatory biomarkers in population-based biobanking. Biopreserv. Biobank. 15, 512-518 (2017)
8.
Webb, T.R.* et al.: Systematic evaluation of pleiotropy identifies 6 further loci associated with coronary artery disease. J. Am. Coll. Cardiol. 69, 823-836 (2017)
9.
Ehret, G.B.* et al.: The genetics of blood pressure regulation and its target organs from association studies in 342,415 individuals. Nat. Genet. 48, 1171-1184 (2016)
10.
McCarthy, S.* et al.: A reference panel of 64,976 haplotypes for genotype imputation. Nat. Genet. 48, 1279-1283 (2016)
11.
Stitziel, N.O.* et al.: Coding variation in ANGPTL4, LPL, and SVEP1 and the risk of coronary disease. N. Engl. J. Med. 374, 1134-1144 (2016)
12.
Stitziel, N.O.* et al.: Coding variation in ANGPTL4, LPL, and SVEP1 and the risk of coronary disease (vol 374, pg 1134, 2016). N. Engl. J. Med. 374, 1898-1898 (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.
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)
15.
Zijlema, W.L.* et al.: The association of air pollution and depressed mood in 70,928 individuals from four European cohorts. Int. J. Hyg. Environ. Health 219, 212-219 (2016)
16.
Anton, G. et al.: Pre-analytical sample quality: Metabolite ratios as an intrinsic marker for prolonged room temperature exposure of serum samples. PLoS ONE 10:e0121495 (2015)
17.
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)
18.
Locke, A.E.* et al.: Genetic studies of body mass index yield new insights for obesity biology. Nature 518, 197-206 (2015)
19.
Shungin, D.* et al.: New genetic loci link adipose and insulin biology to body fat distribution. Nature 518, 187-196 (2015)
20.
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)