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Joza, Stephen; Hu, Michele T; Jung, Ki-Young; Kunz, Dieter; Stefani, Ambra; Dušek, Petr; Terzaghi, Michele; Arnaldi, Dario; Videnovic, Aleksandar; Schiess, Mya C; Hermann, Wiebke; Lee, Jee-Young; Ferini-Strambi, Luigi; Lewis, Simon J G; Leclair-Visonneau, Laurène; Oertel, Wolfgang H; Antelmi, Elena; Sixel-Döring, Friederike; Cochen De Cock, Valérie; Liguori, Claudio; ... (2023). Progression of clinical markers in prodromal Parkinson's disease and dementia with Lewy bodies: a multicentre study. Brain : a journal of neurology, 146(8), pp. 3258-3272. Oxford University Press 10.1093/brain/awad072
Liu, Jun; de Vries, Paul S; Del Greco M, Fabiola; Johansson, Åsa; Schraut, Katharina E; Hayward, Caroline; van Dijk, Ko Willems; Franco, Oscar H.; Hicks, Andrew A; Vitart, Veronique; Rudan, Igor; Campbell, Harry; Polašek, Ozren; Pramstaller, Peter P; Wilson, James F; Gyllensten, Ulf; van Duijn, Cornelia M; Dehghan, Abbas; Demirkan, Ayşe (2022). A multi-omics study of circulating phospholipid markers of blood pressure. Scientific Reports, 12(1), p. 574. Nature Publishing Group 10.1038/s41598-021-04446-7
Liu, Jun; Carnero-Montoro, Elena; van Dongen, Jenny; Lent, Samantha; Nedeljkovic, Ivana; Ligthart, Symen; Tsai, Pei-Chien; Martin, Tiphaine C; Mandaviya, Pooja R; Jansen, Rick; Peters, Marjolein J; Duijts, Liesbeth; Jaddoe, Vincent W V; Tiemeier, Henning; Felix, Janine F; Willemsen, Gonneke; de Geus, Eco J C; Chu, Audrey Y; Levy, Daniel; Hwang, Shih-Jen; ... (2019). An integrative cross-omics analysis of DNA methylation sites of glucose and insulin homeostasis. Nature communications, 10(1), p. 2581. Nature Publishing Group 10.1038/s41467-019-10487-4
Wuttke, Matthias; Li, Yong; Li, Man; Sieber, Karsten B; Feitosa, Mary F; Gorski, Mathias; Tin, Adrienne; Wang, Lihua; Chu, Audrey Y; Hoppmann, Anselm; Kirsten, Holger; Giri, Ayush; Chai, Jin-Fang; Sveinbjornsson, Gardar; Tayo, Bamidele O; Nutile, Teresa; Fuchsberger, Christian; Marten, Jonathan; Cocca, Massimiliano; Ghasemi, Sahar; ... (2019). A catalog of genetic loci associated with kidney function from analyses of a million individuals. Nature genetics, 51(6), pp. 957-972. Nature America 10.1038/s41588-019-0407-x
