PuSH - Publication Server of Helmholtz Zentrum München

63 Records found.
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1.
Bentley, A.R.* et al.: Multi-ancestry genome-wide gene–smoking interaction study of 387,272 individuals identifies new loci associated with serum lipids. Nat. Genet. 51, 636-648 (2019)
2.
Bixby, H.* et al.: Rising rural body-mass index is the main driver of the global obesity epidemic in adults. Nature 569, 260-264 (2019)
3.
de Vries, P.S.* et al.: Multi-ancestry Genome-Wide Association study of lipid levels incorporating gene-alcohol interactions. Am. J. Epidemiol. 188, 1033-1054 (2019)
4.
Fujita, Y.* ; Tinoco, R.* ; Li, Y.* ; Senft, D. & Ronai, Z.A.*: Ubiquitin ligases in cancer immunotherapy - balancing antitumor and autoimmunity. Trends Mol. Med. 25, 428-443 (2019)
5.
Gondalia, R.* et al.: Methylome-wide association study provides evidence of particulate matter air pollution-associated DNA methylation. Environ. Int., accepted (2019)
6.
Hoschar, S. et al.: The MEDEA FAR-EAST Study: Conceptual framework, methods and first findings of a multicenter cross-sectional observational study. BMC Emerg. Med. 19:31 (2019)
7.
Hung, R.J.* et al.: Lung cancer risk in never smokers of European descent is associated with genetic variation in the 5P15.33 TERT-CLPTM1L Region. J. Thorac. Oncol., accepted (2019)
8.
Kinting, S.* et al.: Potentiation of ABCA3 lipid transport function by ivacaftor and genistein. J. Cell. Mol. Med., accepted (2019)
9.
Li, Y.* et al.: Genetic interaction analysis among oncogenesis-related genes revealed novel genes and networks in lung cancer development. Oncotarget 10, 1760-1774 (2019)
10.
Sung, Y.J.* et al.: A multi-ancestry genome-wide study incorporating gene-smoking interactions identifies multiple new loci for pulse pressure and mean arterial pressure. Hum. Mol. Genet., accepted (2019)
11.
Wang, H.* et al.: A dual Ucp1 reporter mouse model for imaging and quantitation of brown and brite fat recruitment. Mol. Metab. 20, 14-27 (2019)
12.
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)
13.
Eckel, N.* et al.: Transition from metabolic healthy to unhealthy phenotypes and association with cardiovascular disease risk across BMI categories in 90 257 women (the Nurses' Health Study): 30 year follow-up from a prospective cohort study. Lancet Diabet. Endocrinol. 6, 714-724 (2018)
14.
Ferreiro-Iglesias, A.* et al.: Fine mapping of MHC region in lung cancer highlights independent susceptibility loci by ethnicity. Nat. Commun. 9:3927 (2018)
15.
Ji, X.* et al.: Identification of susceptibility pathways for the role of chromosome 15q25.1 in modifying lung cancer risk. Nat. Commun. 9:3221 (2018)
16.
Jochim, A.* et al.: Microstructural white matter abnormalities in patients with COL6A3 mutations (DYT27 dystonia). Parkinsonism Relat. Disord. 46, 74-78 (2018)
17.
Jovanova, O.S.* et al.: DNA methylation signatures of depressive symptoms in middle-aged and elderly persons meta-analysis of multiethnic epigenome-wide studies. JAMA psychiatry 75, 949-959 (2018)
18.
Karimi Ghodoosi, E. et al.: The effect of attenuation map, scatter energy window width, and volume of interest on the calibration factor calculation in quantitative Lu-177 SPECT imaging: Simulation and phantom study. Phys. Med. 56, 74-80 (2018)
19.
Li, Y.* et al.: Genome-wide interaction study of smoking behavior and non-small cell lung cancer risk in Caucasian population. Carcinogenesis 39, 336-346 (2018)
20.
Li, Y.* et al.: Secretin-activated brown fat mediates prandial thermogenesis to induce satiation. Cell 175, 1561-1574 (2018)