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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
Cornelis, Marilyn C; Kacprowski, Tim; Menni, Cristina; Gustafsson, Stefan; Pivin, Edward; Adamski, Jerzy; Artati, Anna; Eap, Chin B; Ehret, Georg; Friedrich, Nele; Ganna, Andrea; Guessous, Idris; Homuth, Georg; Lind, Lars; Magnusson, Patrik K; Mangino, Massimo; Pedersen, Nancy L; Pietzner, Maik; Suhre, Karsten; Völzke, Henry; ... (2016). Genome-wide association study of caffeine metabolites provides new insights to caffeine metabolism and dietary caffeine-consumption behavior. Human molecular genetics, 25(24), pp. 5472-5482. Oxford University Press 10.1093/hmg/ddw334
Nagarajan, Pavithra; Winkler, Thomas W; Bentley, Amy R; Miller, Clint L; Kraja, Aldi T; Schwander, Karen; Lee, Songmi; Wang, Wenyi; Brown, Michael R; Morrison, John L; Giri, Ayush; O'Connell, Jeffrey R; Bartz, Traci M; de Las Fuentes, Lisa; Gudmundsdottir, Valborg; Guo, Xiuqing; Harris, Sarah E; Huang, Zhijie; Kals, Mart; Kho, Minjung; ... (8 March 2024). A Large-Scale Genome-Wide Study of Gene-Sleep Duration Interactions for Blood Pressure in 811,405 Individuals from Diverse Populations. medRxiv: the preprint server for health sciences. 10.1101/2024.03.07.24303870
