PuSH - Publication Server of Helmholtz Zentrum München

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1.
Knüppel, S.* et al.: Design and characterization of dietary assessment in the German National Cohort. Eur. J. Clin. Nutr., accepted (2019)
2.
Floegel, A.* et al.: Serum metabolites and risk of myocardial infarction and ischemic stroke: A targeted metabolomic approach in two German prospective cohorts. Eur. J. Epidemiol. 33, 55–66 (2018)
3.
Herrmann, W.J.* et al.: Assessing incident cardiovascular and metabolic diseases in epidemiological cohort studies in Germany. Bundesgesundheitsbl.-Gesund. 61, 420-431 (2018)
4.
Iqbal, K.* et al.: Comparison of metabolite networks from four German population-based studies. Int. J. Epidemiol. 47, 2070-2081 (2018)
5.
Kroeger, J.* et al.: Circulating fetuin - A and risk of type 2 diabetes : A mendelian randomization analysis. Diabetes 67, 1200-1205 (2018)
6.
Wood, A.M.* et al.: Risk thresholds for alcohol consumption: Combined analysis of individual-participant data for 599 912 current drinkers in 83 prospective studies. Lancet 391, 1513-1523 (2018)
7.
Akmatov, M.F.* et al.: Determination of nasal and oropharyngeal microbiomes in a multicenter population-based study - findings from Pretest 1 of the German National Cohort. Sci. Rep. 7:1855 (2017)
8.
Akmatov, M.K.* et al.: Anti-nuclear autoantibodies in the general German population: Prevalence and lack of association with selected cardiovascular and metabolic disorders-findings of a multicenter population-based study. Arthritis Res. Ther. 19:127 (2017)
9.
Bachlechner, U.* et al.: Predicting risk of substantial weight gain in German adults-a multi-center cohort approach. Eur. J. Public Health 27, 768-774 (2017)
10.
NCD Risk Factors Collaboration et al.: Trends in adult body-mass index in 200 countries from 1975 to 2014: A pooled analysis of 1698 population-based measurement studies with 19.2 million participants. Lancet 387, 1377-1396 (2016)
11.
Dietrich, S.* et al.: Random survival forest in practice: A method for modelling complex metabolomics data in time to event analysis. Int. J. Epidemiol. 45, 1406-1420 (2016)
12.
Fehringer, G.* et al.: Cross-cancer genome-wide analysis of lung, ovary, breast, prostate and colorectal cancer reveals novel pleiotropic associations. Cancer Res. 76, 5103-5114 (2016)
13.
Haftenberger, M.* et al.: Changes in body weight and obesity status in German adults: Results of seven population-based prospective studies. Eur. J. Clin. Nutr. 70, 300-305 (2016)
14.
Haftenberger, M.* et al.: Changes in waist circumference among German adults over time - Compiling results of seven prospective cohort studies. Obes. Facts 9, 332-343 (2016)
15.
Scott, R.A.* et al.: A genomic approach to therapeutic target validation identifies a glucose-lowering GLP1R variant protective for coronary heart disease. Sci. Transl. Med. 8:341ra76 (2016)
16.
Bamberg, F.* et al.: Whole-body MR imaging in the German National Cohort: Rationale, design, and technical background. Radiology 277, 206-220 (2015)
17.
Abbas, S.* et al.: Dietary vitamin D intake and risk of type 2 diabetes in the European Prospective Investigation into Cancer and Nutrition: The EPIC-InterAct study. Eur. J. Clin. Nutr. 68, 196-202 (2014)
18.
Seibold, P.* et al.: Enterolactone concentrations and prognosis after postmenopausal breast cancer: Assessment of effect modification and meta-analysis. Int. J. Cancer 135, 923-933 (2014)
19.
Abbas, S.* et al.: Dietary intake of vitamin D and calcium and breast cancer risk in the European Prospective Investigation into Cancer and Nutrition. Nutr. Cancer 65, 178-187 (2013)
20.
Garcia-Closas, M.* et al.: Genome-wide association studies identify four ER negative-specific breast cancer risk loci. Nat. Genet. 45, 392-398 (2013)