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Wang, Zhe; Emmerich, Andrew; Pillon, Nicolas J; Moore, Tim; Hemerich, Daiane; Cornelis, Marilyn C; Mazzaferro, Eugenia; Broos, Siacia; Ahluwalia, Tarunveer S; Bartz, Traci M; Bentley, Amy R; Bielak, Lawrence F; Chong, Mike; Chu, Audrey Y; Berry, Diane; Dorajoo, Rajkumar; Dueker, Nicole D; Kasbohm, Elisa; Feenstra, Bjarke; Feitosa, Mary F; ... (2022). Genome-wide association analyses of physical activity and sedentary behavior provide insights into underlying mechanisms and roles in disease prevention. Nature genetics, 54(9), pp. 1332-1344. Nature America 10.1038/s41588-022-01165-1
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
Ligthart, Symen; Vaez, Ahmad; Võsa, Urmo; Stathopoulou, Maria G; de Vries, Paul S; Prins, Bram P; Van der Most, Peter J; Tanaka, Toshiko; Naderi, Elnaz; Rose, Lynda M; Wu, Ying; Karlsson, Robert; Barbalic, Maja; Lin, Honghuang; Pool, René; Zhu, Gu; Macé, Aurélien; Sidore, Carlo; Trompet, Stella; Mangino, Massimo; ... (2018). Genome Analyses of >200,000 Individuals Identify 58 Loci for Chronic Inflammation and Highlight Pathways that Link Inflammation and Complex Disorders. American journal of human genetics, 103(5), pp. 691-706. Cell Press 10.1016/j.ajhg.2018.09.009
Evangelou, Evangelos; Warren, Helen R; Mosen-Ansorena, David; Mifsud, Borbala; Pazoki, Raha; Gao, He; Ntritsos, Georgios; Dimou, Niki; Cabrera, Claudia P; Karaman, Ibrahim; Ng, Fu Liang; Evangelou, Marina; Witkowska, Katarzyna; Tzanis, Evan; Hellwege, Jacklyn N; Giri, Ayush; Velez Edwards, Digna R; Sun, Yan V; Cho, Kelly; Gaziano, J Michael; ... (2018). Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits. Nature genetics, 50(10), pp. 1412-1425. Nature America 10.1038/s41588-018-0205-x
