PuSH - Publication Server of Helmholtz Zentrum München

31 Records found.
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1.
Laaksonen, J.* et al.: Discovery of mitochondrial DNA variants associated with genome-wide blood cell gene expression: A population-based mtDNA sequencing study. Hum. Mol. Genet. 28, 1381-1391 (2019)
2.
Timmers, P.R.* et al.: Genomics of 1 million parent lifespans implicates novel pathways and common diseases and distinguishes survival chances. eLife 8:e39856 (2019)
3.
Haworth, S.* et al.: Consortium-based genome-wide meta-analysis for childhood dental caries traits. Hum. Mol. Genet. 27, 3113-3127 (2018)
4.
Ligthart, S.* et al.: Genome analyses of >200,000 individuals identify 58 loci for chronic inflammation and highlight pathways that link inflammation and complex disorders. Am. J. Hum. Genet. 103, 691-706 (2018)
5.
Sulkava, M.* et al.: Formyl peptide receptors 1-3 and annexin 1 in atherosclerotic plaques  - tampere vascular study. Atherosclerosis 275, E104-E105 (2018)
6.
Taipale, T.* et al.: Fatty liver is associated with blood pathways of inflammatory response, immune system activation and prothrombotic state in Young Finns Study. Sci. Rep. 8, 10358:10358 (2018)
7.
Xue, A.* et al.: Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes. Nat. Commun. 9:2941 (2018)
8.
Christophersen, I.E.* et al.: Large-scale analyses of common and rare variants identify 12 new loci associated with atrial fibrillation. Nat. Genet. 49, 946-952 (2017)
9.
Karlsoon Linner, R.* et al.: An epigenome-wide association study meta-analysis of educational attainment. Mol. Psychiatry 22, 1680-1690 (2017)
10.
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)
11.
Laaksonen, J.* et al.: Blood pathway analyses reveal differences between prediabetic subjects with or without dyslipidaemia. The Cardiovascular Risk in Young Finns Study. Diabetes Metab. Res. Rev. 33:e2914 (2017)
12.
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)
13.
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)
14.
Oksala, N.K.J.* et al.: Synergistic expression of histone deacetylase 9 and matrix metalloproteinase 12 in M4 macrophages in advanced carotid plaques. Eur. J. Vasc. Endovasc. Surg. 53, 632-640 (2017)
15.
Sulkava, M.* et al.: Differentially expressed genes and canonical pathway expression in human atherosclerotic plaques-Tampere Vascular Study. Sci. Rep. 7:41483 (2017)
16.
Sulkava, M.* et al.: Differentially expressed genes and canonical pathways in the ascending thoracic aortic aneurysm - The Tampere Vascular Study. Sci. Rep. 7:12127 (2017)
17.
Fan, Q.* et al.: Meta-analysis of gene-environment-wide association scans accounting for education level identifies additional loci for refractive error. Nat. Commun. 7:11008 (2016)
18.
Fan, Q.* et al.: Childhood gene-environment interactions and age-dependent effects of genetic variants associated with refractive error and myopia: The CREAM Consortium. Sci. Rep. 6:25853 (2016)
19.
Lamina, C.* et al.: A genome-wide association meta-analysis on apolipoprotein A-IV concentrations. Hum. Mol. Genet. 25, 3635-3646 (2016)
20.
Pappa, I.* et al.: A genome-wide approach to children's aggressive behavior: The EAGLE consortium. Am. J. Med. Genet. B 171, 562-572 (2016)