PuSH - Publikationsserver des Helmholtz Zentrums München

121 Datensätze gefunden.
Zum Exportieren der Ergebnisse bitte einloggen.
Alle Publikationen dieser Seite in den Korb legen
1.
Huth, C. et al.: Protein markers and risk of type 2 diabetes and prediabetes: A targeted proteomics approach in the KORA F4/FF4 study. Eur. J. Epidemiol. 34, 409-422 (2019)
2.
Imboden, M.* et al.: Epigenome-wide association study of lung function level and its change. Eur. Respir. J., accepted (2019)
3.
Wuttke, M.* et al.: A catalog of genetic loci associated with kidney function from analyses of a million individuals. Nat. Genet. 51, 957-972 (2019)
4.
Erhart, G.* et al.: Genetic factors explain a major fraction of the 50% lower lipoprotein(a) concentrations in Finns. Arterioscler. Thromb. Vasc. Biol. 38, 1230-1241 (2018)
5.
Gielen, M.* et al.: Body mass index is negatively associated with telomere length: A collaborative cross-sectional meta-analysis of 87 observational studies. Am. J. Clin. Nutr. 108, 453-475 (2018)
6.
Mahajan, A.* et al.: Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes. Nat. Genet. 50, 559-571 (2018)
7.
Mahajan, A.* et al.: Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps. Nat. Genet. 50, 1505-1513 (2018)
8.
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)
9.
Teumer, A.* et al.: Genome-wide analyses identify a role for SLC17A4 and AADAT in thyroid hormone regulation. Nat. Commun. 9:4455 (2018)
10.
Zhang, S. et al.: Long-term effects of air pollution on ankle-brachial index. Environ. Int. 118, 17-25 (2018)
11.
Coassin, S.* et al.: A novel but frequent variant in LPA KIV-2 is associated with a pronounced Lp(a) and cardiovascular risk reduction. Eur. Heart J. 38, 1823-1831 (2017)
12.
Kollerits, B.* et al.: Plasma concentrations of afamin are associated with prevalent and incident type 2 diabetes: A pooled analysis in more than 20,000 individuals. Diabetes Care 40, 1386-1393 (2017)
13.
Mack, S.* et al.: Evaluating the causal relation of ApoA-IV with disease-related traits - A bidirectional two-sample mendelian randomization study. Sci. Rep. 7:8734 (2017)
14.
Mack, S.* et al.: A genome-wide association meta-analysis on lipoprotein (a) concentrations adjusted for apolipoprotein (a) isoforms. J. Lipid Res. 58, 1834-1844 (2017)
15.
Standl, M. et al.: Association of atopic dermatitis with cardiovascular risk factors and diseases. J. Invest. Dermatol. 137, 1074-1081 (2017)
16.
Standl, M. et al.: Association of atopic dermatitis with cardiovascular risk factors and diseases. Allergy 72, 53-53 (2017)
17.
Winkler, T.W.* et al.: Approaches to detect genetic effects that differ between two strata in genome-wide meta-analyses: Recommendations based on a systematic evaluation. PLoS ONE 12:e0181038 (2017)
18.
Barban, N.* et al.: Genome-wide analysis identifies 12 loci influencing human reproductive behavior. Nat. Genet. 48, 1462-1472 (2016)
19.
Chen, B.H.* et al.: DNA methylation-based measures of biological age: Meta-analysis predicting time to death. Aging 8, 1844-1865 (2016)
20.
Karrasch, S. et al.: What is the impact of different spirometric criteria on the prevalence of spirometrically defined COPD and its comorbidities? Results from the population-based KORA study. Int. J. Chron. Obstruct. Pulmon. Dis. 11, 1881-1894 (2016)