PuSH - Publication Server of Helmholtz Zentrum München

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1.
Caputo, M.* et al.: Herpes zoster incidence in Germany - an indirect validation study for self-reported disease data from pretest studies of the population-based German National Cohort. BMC Infect. Dis. 19:99 (2019)
2.
Kunkle, B.W.* et al.: Genetic meta-analysis of diagnosed Alzheimer's disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing. Nat. Genet. 51, 414-430 (2019)
3.
Bächle, C.* et al.: Regional differences in antihyperglycemic medication are not explained by individual socioeconomic status, regional deprivation, and regional health care services. Observational results from the German DIAB-CORE consortium. PLoS ONE 13:e0191559 (2018)
4.
Schmidt, C.O.* et al.: Qualitätsstandards für epidemiologische Kohortenstudien. Ein bewerteter Anforderungskatalog zur Studienvorbereitung und Studiendurchführung.   Bundesgesundheitsbl.-Gesund. 61, 65-77 (2018)
5.
Schneider, A.E. et al.: Epidemiologische Studien mit Umweltbezug in Deutschland. Bundesgesundheitsbl.-Gesund. 61, 697-709 (2018)
6.
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)
7.
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)
8.
Scott, R.A.* et al.: An expanded genome-wide association study of type 2 diabetes in Europeans. Diabetes 66, 2888-2902 (2017)
9.
Andlauer, T.F.* et al.: Novel multiple sclerosis susceptibility loci implicated in epigenetic regulation. Sci. Adv. 2:e1501678 (2016)
10.
de Las Heras Gala, T. et al.: Recalibration of the ACC/AHA risk score in two population-based German cohorts. PLoS ONE 11:e0164688 (2016)
11.
Hartwig, S.* et al.: Anthropometric markers and their association with incident type 2 diabetes mellitus: Which marker is best for prediction? Pooled analysis of four German population-based cohort studies and comparison with a nationwide cohort study. BMJ Open 6:e009266 (2016)
12.
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)
13.
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)
14.
Dankowski, T.* et al.: Exome array GWAS in 10,000 Germans identifies association between MUC22 and multiple sclerosis. Hum. Hered. 79, 32-33 (2015)
15.
Dankowski, T.* et al.: Successful replication of GWAS hits for multiple sclerosis in 10,000 Germans using the exome array. Genet. Epidemiol. 39, 601-608 (2015)
16.
de Las Heras Gala, T. et al.: Overestimation of incident ASCVD events by the ACC/AHA risk score in the German population: The KORA and the Heinz Nixdorf Recall Studies. Eur. Heart J. 36, 711 (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.
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)
20.
Kälsch, H.* et al.: Are air pollution and traffic noise independently associated with atherosclerosis: The Heinz Nixdorf Recall Study. Eur. Heart J. 35, 853-860 (2014)