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1.
Sharapov, S.Z.* et al.: Defining the genetic control of human blood plasma N-glycome using genome-wide association study. Hum. Mol. Genet. 28, 2062-2077 (2019)
2.
Benedetti, E. et al.: Erratum: Publisher Correction: Network inference from glycoproteomics data reveals new reactions in the IgG glycosylation pathway (Nature communications (2017) 8 1 (1483)). Nat. Commun. 9:706 (2018)
3.
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)
4.
Wahl, A. et al.: IgG glycosylation and DNA methylation are interconnected with smoking. Biochim. Biophys. Acta-Gen. Subj. 1862, 637-648 (2018)
5.
Wahl, A. et al.: Genome-wide association study on immunoglobulin G glycosylation patterns. Front. Immunol. 9:277 (2018)
6.
Zaghlool, S.B.* et al.: Deep molecular phenotypes link complex disorders and physiological insult to CpG methylation. Hum. Mol. Genet. 27, 1106-1121 (2018)
7.
Benedetti, E. et al.: Network inference from glycoproteomics data reveals new reactions in the IgG glycosylation pathway. Nat. Commun. 8:1483 (2017)
8.
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)
9.
Keser, T.* et al.: Effects of statins on the immunoglobulin G glycome. Biochim. Biophys. Acta-Gen. Subj. 1861, 1152-1158 (2017)
10.
Suhre, K.* et al.: Connecting genetic risk to disease end points through the human blood plasma proteome. Nat. Commun. 8:14357 (2017)
11.
Allegri, M.* et al.: 'Omics' biomarkers associated with chronic low back pain: Protocol of a retrospective longitudinal study. BMJ Open 6:e012070 (2016)
12.
Barrios, C.* et al.: Glycosylation profile of IgG in moderate kidney dysfunction. J. Am. Soc. Nephrol. 27, 933-941 (2016)
13.
Zierer, J. et al.: Exploring the molecular basis of age-related disease comorbidities using a multi-omics graphical model. Sci. Rep. 6:37646 (2016)
14.
Pattaro, C.* et al.: Genome-wide linkage analysis of serum creatinine in three isolated European populations. Kidney Int. 76, 297-306 (2009)