A common IFI44L variant strongly predicts clinical trajectories in aging and neurodegeneration
一种常见的IFI44L变异体能够强有力地预测衰老和神经退行性疾病的临床发展轨迹。
期刊:PLoS One
影响因子:2.6
doi:10.1371/journal.pone.0324685
Hong, Yu; Chen, Yiyun; Bai, Yinglin; Tan, Wenfei; Rodríguez‐Baz, Íñigo; Bernhardt, Alexander M; Aldecoa, Iban; Arranz, Javier; Arriola‐Infante, José Enrique; Maure‐Blesa, Lucía; Carmona‐Iragui, Maria; Longen, Sebastian; Trossbach, Svenja Verena; Giese, Armin; Matthias, Torsten; Benejam, Bessy; Videla, Laura; Hoyo, Laura Del; Barroeta, Isabel; Hernandez, Aida Sanjuan; Fernandez, Susana; Vaqué‐Alcázar, Lídia; Aranha, Mateus Rozalem; Morcillo‐Nieto, Alejandra O; Nübling, Georg; Wagemann, Olivia; Stockbauer, Anna; Tondo, Mireia; Bejanin, Alexandre; Lleó, Alberto; Alcolea, Daniel; Molina, Laura; Fortea, Juan; Levin, Johannes; Bonham, Luke W; Oddi, Alexis P; Escobar, Valerie Drews; Khan, Jared A; Sauri, Ariel I; Castruita, Patricia A; Johnson, Taylor P; Chen, Yaen; Loughnan, Robert; Wang, Xin; Sanda, Gisele; Hoang, Phuong T; Sugrue, Leo P; Andreassen, Ole A; Dale, Anders M; Corley, Michael J; Rabinovici, Gil D; Perry, David C; Seeley, William W; Miller, Bruce L; Broce, Iris J; Sirkis, Daniel W; Yokoyama, Jennifer S