PuSH - Publication Server of Helmholtz Zentrum München

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1.
Cheney, C.P. et al.: The association between serum 25-Hydroxyvitamin D and cancer risk: Results from the prospective KORA F4 study. Oncol. Res. Treat. 41, 117-121 (2018)
2.
Schmidt, C.O.* et al.: Qualitätsstandards für epidemiologische Kohortenstudien. Ein bewerteter Anforderungskatalog zur Studienvorbereitung und Studiendurchführung.   Bundesgesundheitsbl.-Gesund. 61, 65-77 (2018)
3.
Schopohl, D.* et al.: Prospects for research in haemophilia with real-world dataAn analysis of German registry and secondary data. Haemophilia 24, 584-594 (2018)
4.
Hammerschlag, A.R.* et al.: Genome-wide association analysis of insomnia complaints identifies risk genes and genetic overlap with psychiatric and metabolic traits. Nat. Genet. 49, 1584-1592 (2017)
5.
Malik, R.* et al.: Common coding variant in SERPINA1 increases the risk for large artery stroke. Proc. Natl. Acad. Sci. U.S.A. 114, 3613-3618 (2017)
6.
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)
7.
Andlauer, T.F.* et al.: Novel multiple sclerosis susceptibility loci implicated in epigenetic regulation. Sci. Adv. 2:e1501678 (2016)
8.
Barban, N.* et al.: Genome-wide analysis identifies 12 loci influencing human reproductive behavior. Nat. Genet. 48, 1462-1472 (2016)
9.
Hanning, U.* ; Roesler, A.* ; Peters, A. ; Berger, K.* & Baune, B.T.*: Structural brain changes and all-cause mortality in the elderly population-the mediating role of inflammation. Age 38, 455-464 (2016)
10.
Malik, R.* et al.: Low-frequency and common genetic variation in ischemic stroke: The METASTROKE collaboration. Neurology 86, 1217-1226 (2016)
11.
Okbay, A.* et al.: Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses. Nat. Genet. 48, 624-633 (2016)
12.
Okbay, A.* et al.: Genome-wide association study identifies 74 loci associated with educational attainment. Nature 533, 539-542 (2016)
13.
Bamberg, F.* et al.: Whole-body MR imaging in the German National Cohort: Rationale, design, and technical background. Radiology 277, 206-220 (2015)
14.
Müller, G.* et al.: Association of neighbourhood unemployment rate with incident type 2 diabetes mellitus in five German regions. Diabetic Med. 32, 1017-1022 (2015)
15.
Szentkirályi, A.* ; Völzke, H.* ; Hoffmann, W.* ; Winkelmann, J. & Berger, K.*: Lack of association between genetic risk loci for restless legs syndrome and multimorbidity. Sleep 39, 111–115 (2015)
16.
Schipf, S.* et al.: Regional differences in the incidence of self-reported type 2 diabetes in Germany: Results from five population-based studies in Germany (DIAB-CORE Consortium) J. Epidemiol. Community Health 68, 1088-1095 (2014)
17.
Schulte, E.C. et al.: Blood cis-eQTL analysis fails to identify novel association signals among sub-threshold candidates from genome-wide association studies in restless legs syndrome. PLoS ONE 9:e98092 (2014)
18.
Schulte, E.C. et al.: Targeted resequencing and systematic in vivo functional testing identifies rare variants in MEIS1 as significant contributors to restless legs syndrome. Am. J. Hum. Genet. 95, 85-95 (2014)
19.
Stang, A.* et al.: Educational level, prevalence of hysterectomy, and age at amenorrhoea: A cross-sectional analysis of 9536 women from six population-based cohort studies in Germany. BMC Womens Health 14:10 (2014)
20.
Maier, W. et al.: The impact of regional deprivation and individual socio-economic status on the prevalence of type 2 diabetes in Germany. A pooled analysis of five population-based studies. Diabetic Med. 30, 78-86 (2013)