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Barrios, C.* et al.: Circulating metabolic biomarkers of renal function in diabetic and non-diabetic populations. Sci. Rep. 8:15249 (2018)
Jackson, M.A.* et al.: Detection of stable community structures within gut microbiota co-occurrence networks from different human populations. PeerJ 6:e4303 (2018)
Jackson, M.A.* et al.: Gut microbiota associations with common diseases and prescription medications in a population-based cohort. Nat. Commun. 9:2655 (2018)
Menni, C.* et al.: Glycosylation profile of immunoglobulin G is cross-sectionally associated with cardiovascular disease risk score and subclinical atherosclerosis in two independent cohorts. J. Virol. 122, 1555-1564 (2018)
Zierer, J. et al.: The fecal metabolome as a functional readout of the gut microbiome. Nat. Genet. 50, 790-795 (2018)
Keser, T.* et al.: Effects of statins on the immunoglobulin G glycome. Biochim. Biophys. Acta-Gen. Subj. 1861, 1152-1158 (2017)
Menni, C.* ; Zierer, J. ; Valdes, A.M.* & Spector, T.D.*: Mixing omics: Combining genetics and metabolomics to study rheumatic diseases. Nat. Rev. Rheumatol. 13, 174-181 (2017)
Menni, C.* et al.: Metabolomic profiling of long-term weight change: Role of oxidative stress and urate levels in weight gain. Obesity 25, 1618-1624 (2017)
Menni, C.* et al.: Omega-3 fatty acids correlate with gut microbiome diversity and production of N-carbamylglutamate in middle aged and elderly women. Sci. Rep. 7:11079 (2017)
Pallister, T.* et al.: Hippurate as a metabolomic marker of gut microbiome diversity: Modulation by diet and relationship to metabolic syndrome. Sci. Rep. 7:13670 (2017)
Barrios, C.* et al.: Glycosylation profile of IgG in moderate kidney dysfunction. J. Am. Soc. Nephrol. 27, 933-941 (2016)
Zierer, J. et al.: Metabolomics profiling reveals novel markers for leukocyte telomere length. Aging 8, 77-94 (2016)
Zierer, J. et al.: Exploring the molecular basis of age-related disease comorbidities using a multi-omics graphical model. Sci. Rep. 6:37646 (2016)
Zierer, J. ; Menni, C.* ; Kastenmüller, G. & Spector, T.D.*: Integration of 'omics' data in aging research: From biomarkers to systems biology. Aging Cell 14, 933–944 (2015)
Zierer, J.: Identification of uni- and multivariante biomarkers in metabolomics data from lymphoma patients. München, Ludwig-Maximilians-Universität & Technische Universität, Bioinformatik, Master-Thesis, 2013, 147 S.