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Goepel, Wolfgang, Mueller, Mirja, Rabe, Heike, Borgmann, Johannes, Rausch, Tanja K, Faust, Kirstin, Kribs, Angela, Doetsch, Joerg, Ellinghaus, David, Haertel, Christoph et al (show 7 more authors) , Roll, Claudia, Szabo, Miklos, Nuernberg, Peter, Franke, Andre, Koenig, Inke R, Turner, Mark A ORCID: 0000-0002-5299-8656 and Herting, Egbert (2020) Genetic background of high blood pressure is associated with reduced mortality in premature neonates. ARCHIVES OF DISEASE IN CHILDHOOD-FETAL AND NEONATAL EDITION, 105 (2). F184-F189.

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Loley, Christina, Alver, Maris, Assimes, Themistocles L, Bjonnes, Andrew, Goel, Anuj, Gustafsson, Stefan, Hernesniemi, Jussi, Hopewell, Jemma C, Kanoni, Stavroula, Kleber, Marcus E et al (show 68 more authors) , Lau, King Wai, Lu, Yingchang, Lyytikainen, Leo-Pekka, Nelson, Christopher P, Nikpay, Majid, Qu, Liming, Salfati, Elias, Scholz, Markus, Tukiainen, Taru, Willenborg, Christina, Won, Hong-Hee, Zeng, Lingyao, Zhang, Weihua, Anand, Sonia S, Beutner, Frank, Bottinger, Erwin P, Clarke, Robert, Dedoussis, George, Do, Ron, Esko, Tonu, Eskola, Markku, Farrall, Martin, Gauguier, Dominique, Giedraitis, Vilmantas, Granger, Christopher B, Hall, Alistair S, Hamsten, Anders, Hazen, Stanley L, Huang, Jie, Kahonen, Mika, Kyriakou, Theodosios, Laaksonen, Reijo, Lind, Lars, Lindgren, Cecilia, Magnusson, Patrik KE, Marouli, Eirini, Mihailov, Evelin, Morris, Andrew P, Nikus, Kjell, Pedersen, Nancy, Rallidis, Loukianos, Salomaa, Veikko, Shah, Svati H, Stewart, Alexandre FR, Thompson, John R, Zalloua, Pierre A, Chambers, John C, Collins, Rory, Ingelsson, Erik, Iribarren, Carlos, Karhunen, Pekka J, Kooner, Jaspal S, Lehtimaki, Terho, Loos, Ruth JF, Maerz, Winfried, McPherson, Ruth, Metspalu, Andres, Reilly, Muredach P, Ripatti, Samuli, Sanghera, Dharambir K, Thiery, Joachim, Watkins, Hugh, Deloukas, Panos, Kathiresan, Sekar, Samani, Nilesh J, Schunkert, Heribert, Erdmann, Jeanette and Koenig, Inke R (2016) No Association of Coronary Artery Disease with X-Chromosomal Variants in Comprehensive International Meta-Analysis. SCIENTIFIC REPORTS, 6 (1). 35278-.

Gola, Damian, Erdmann, Jeannette, Mueller-Myhsok, Bertram ORCID: 0000-0002-0719-101X, Schunkert, Heribert and Koenig, Inke R (2020) Polygenic risk scores outperform machine learning methods in predicting coronary artery disease status. GENETIC EPIDEMIOLOGY, 44 (2). pp. 125-138.