PuSH - Publication Server of Helmholtz Zentrum München

23 Records found.
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1.
Goudey, B.* ; Fung, B.J.* ; Schieber, C.* ; Faux, N.G.* & Alzheimer's Disease Neuroimaging Initiative (Kastenmüller, G. ; Arnold, M.): A blood-based signature of cerebrospinal fluid Aβ1-42 status. Sci. Rep. 9:4163 (2019)
2.
Nho, K.* et al.: Altered bile acid profile in mild cognitive impairment and Alzheimer's disease: Relationship to neuroimaging and CSF biomarkers. Alzheimers Dement. 15, 232-244 (2019)
3.
Adler, A.* et al.: PhenoDis: A comprehensive database for phenotypic characterization of rare cardiac diseases. Orphanet J. Rare Dis. 13:22 (2018)
4.
Arnold, M. ; Raffler, J. ; Suhre, K.* & Kastenmüller, G.: Datenbasierte Funktionsvorhersage krankheitsrelevanter genetischer Varianten. BioSpektrum 24, 662-663 (2018)
5.
MahmoudianDehkordi, S.* et al.: Altered bile acid profile associates with cognitive impairment in Alzheimer's disease-An emerging role for gut microbiome. Alzheimers Dement. 15, 76-92 (2018)
6.
Varma, V.R.* et al.: Brain and blood metabolite signatures of pathology and progression in Alzheimer disease: A targeted metabolomics study. PLoS Med. 15:e1002482 (2018)
7.
St John-Williams, L.* et al.: Targeted metabolomics and medication classification data from participants in the ADNI1 cohort. Sci. Data 4:170140 (2017)
8.
Suhre, K.* et al.: Connecting genetic risk to disease end points through the human blood plasma proteome. Nat. Commun. 8:14357 (2017)
9.
Toledo, J.B.* et al.: Metabolic network failures in Alzheimer's disease-A biochemical road map. Alzheimers Dement. 13, 965-984 (2017)
10.
Fard, D.* et al.: Candidate gene variants of the immune system and sudden infant death syndrome. Int. J. Legal Med. 130, 1025-1033 (2016)
11.
Arnold, M. ; Raffler, J. ; Pfeufer, A. ; Suhre, K. & Kastenmüller, G.: SNiPA: An interactive, genetic variant-centered annotation browser. Bioinformatics 31, 1334-1336 (2015)
12.
Fischer, L. ; Arnold, M. ; Kirsch, F. & Leidl, R.: Wirtschaftlichkeit des 21 Gene Tests in der Behandlung von Patientinnen mit nodal-positivem Mammakarzinom. Gesundheitswesen, DOI: 10.1055/s-0035-1549989 (2015)
13.
Raffler, J. et al.: Genome-wide association study with targeted and non-targeted NMR metabolomics identifies 15 novel loci of urinary human metabolic individuality. PLoS Genet. 11:e1005487 (2015)
14.
Shin, S.Y.* et al.: An atlas of genetic influences on human blood metabolites. Nat. Genet. 46, 543-550 (2014)
15.
Wjst, M. ; Sargurupremraj, M. & Arnold, M.: Genome-wide association studies in asthma: What they really told us about pathogenesis. Curr. Opin. Allergy Clin. Immunol. 13, 112-118 (2013)
16.
Arnold, B.* et al.: Multimodale Therapie des Fibromyalgiesyndroms. Systematische Übersicht, Metaanalyse und Leitlinie. Schmerz 26, 287-290 (2012)
17.
Arnold, M. ; Ellwanger, D.C. ; Hartsperger, M.L. ; Pfeufer, A. & Stuempflen, V.: Cis-acting polymorphisms affect complex traits through modifications of microRNA regulation pathways. PLoS ONE 7:e36694 (2012)
18.
Arnold, M. et al.: Network-based SNP meta-analysis identifies joint and disjoint genetic features across common human diseases. BMC Genomics 13:490 (2012)
19.
Stassen, M.* et al.: IL-9 and IL-13 production by activated mast cells is strongly enhanced in the presence of lipopolysaccharide : NF-kB is decisively involved in the expression of IL-9. J. Immunol. 166, 4391-4398 (2002)
20.
Stassen, M.* et al.: Murine bone marrow-derived mast cells as potent producers of IL-9: Costimulatory function of IL- 10 and kit ligand in the presence of IL-1. J. Immunol. 164, 5549-5555 (2000)