PuSH - Publication Server of Helmholtz Zentrum München

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1.
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)
2.
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)
3.
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)
4.
Meldrum, S.J.* et al.: Can polymorphisms in the fatty acid desaturase (FADS) gene cluster alter the effects of fish oil supplementation on plasma and erythrocyte fatty acid profiles? An exploratory study. Eur. J. Nutr. 57, 2583-2594 (2018)
5.
Rosenberger, A.* et al.: Genetic modifiers of radon-induced lung cancer risk: A genome-wide interaction study in former uranium miners. Int. Arch. Occup. Environ. Health 91, 937-950 (2018)
6.
Amos, C.I.* et al.: The OncoArray Consortium: A network for understanding the genetic architecture of common cancers. Cancer Epidemiol. Biomarkers Prev. 26, 126-135 (2017)
7.
Dagostino, C.* et al.: Validation of standard operating procedures in a multicenter retrospective study to identify -omics biomarkers for chronic low back pain. PLoS ONE 12:e0176372 (2017)
8.
McKay, J.D.* et al.: Large-scale association analysis identifies new lung cancer susceptibility loci and heterogeneity in genetic susceptibility across histological subtypes. Nat. Genet. 49, 1126-1132 (2017)
9.
Allegri, M.* et al.: 'Omics' biomarkers associated with chronic low back pain: Protocol of a retrospective longitudinal study. BMJ Open 6:e012070 (2016)
10.
Baurecht, H.* et al.: Compare and Contrast Meta Analysis (CCMA): A method for identification of pleiotropic loci in genome-wide association studies. PLoS ONE 11:e0154872 (2016)
11.
Manz, J. et al.: Targeted resequencing and functional testing identifies low-frequency missense variants in the gene encoding GARP as significant contributors to atopic dermatitis risk. J. Invest. Dermatol. 136, 2380-2386 (2016)
12.
Marinelli, M.* et al.: Heritability and genome-wide association analyses of sleep duration in children: The EAGLE Consortium. Sleep 39, 1859-1869 (2016)
13.
Day, F.R.* et al.: Large-scale genomic analyses link reproductive aging to hypothalamic signaling, breast cancer susceptibility and BRCA1-mediated DNA repair. Nat. Genet. 47, 1294-1303 (2015)
14.
Day, F.R.* et al.: Large-scale genomic analyses link reproductive aging to hypothalamic signaling, breast cancer susceptibility, and BRCA1-mediated DNA repair. Obstet. Gynecol. 70, 758-762 (2015)
15.
Rodriguez, E.* et al.: Targeted resequencing and finemapping identifies low-frequency missense variants in LRRC32 as risk factors for atopic dermatitis. Exp. Dermatol. 24, E17-E18 (2015)
16.
Rodriguez, E.* et al.: Targeted resequencing and finemapping identifies functional low-frequency missense variants in LRRC32 as risk factors for atopic dermatitis. J. Invest. Dermatol. 135, S58 (2015)