American Journal of Human Genetics, 109(8), 1366-1387. CELL PRESS Million Veterans Program, Ramdas, S, Judd, J, Graham, S E, Kanoni, S, Wang, Y, Surakka, I, Wenz, B, Clarke, S L, Chesi, A, Wells, A, Bhatti, K F, Vedantam, S, Winkler, T W, Locke, A E, Marouli, E, Zajac, G J M, Wu, K-H H, Ntalla, I, Hui, Q, Klarin, D, Hilliard, A T, Wang, Z, Xue, C, Thorleifsson, G, Helgadottir, A, Gudbjartsson, D F, Holm, H, Olafsson, I, Hwang, M Y, Han, S, Akiyama, M, Sakaue, S, Terao, C, Kanai, M, Zhou, W, Brumpton, B M, Rasheed, H, Havulinna, A S, Veturi, Y, Pacheco, J A, Weir, D R, Brown, M R, Smyth, L J, Cañadas-Garre, M, Li, X, Nelson, C P, McKnight, A J, Kee, F, Wilson, P & Brown, C D 2022, ' A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids ', The American Journal of Human Genetics, vol. 109, no. 8, pp. 1366-1387 . https://doi.org/10.1016/j.ajhg.2022.06.012 Ramdas, S, Judd, J, Graham, S E, Hottenga, J J, Penninx, B, Boomsma, D I, de Geus, E J C, Million Veterans Program & Global Lipids Genetics Consortium 2022, ' A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids ', American Journal of Human Genetics, vol. 109, no. 8, pp. 1366-1387 . https://doi.org/10.1016/j.ajhg.2022.06.012 Million Veterans Program & Global Lipids Genetics Consortium 2022, ' A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids ', American journal of human genetics, vol. 109, no. 8, pp. 1366-1387 . https://doi.org/10.1016/j.ajhg.2022.06.012 Am J Hum Genet American journal of human genetics, vol 109, iss 8 AMERICAN JOURNAL OF HUMAN GENETICS r-IIB SANT PAU. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica Sant Pau instname American Journal of Human Genetics American journal of human genetics, 109(8), 1366-1387. Cell Press American journal of human genetics, vol. 109, no. 8, pp. 1366-1387 Ramdas, S, Judd, J, Graham, S E, Kanoni, S, Wang, Y, Surakka, I, Wenz, B, Clarke, S L, Brumpton, B M, Rasheed, H, Haworth, S J, Mitchell, R E, Zhu, X & Brown, C D & et, A 2022, ' A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids ', American Journal of Human Genetics, vol. 109, no. 8, pp. 1366-1387 . https://doi.org/10.1016/j.ajhg.2022.06.012 2022, ' A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids ', American Journal of Human Genetics, vol. 109, no. 8, pp. 1366-1387 . https://doi.org/10.1016/j.ajhg.2022.06.012 American Journal of Human Genetics, 109, 8, pp. 1366-1387 American Journal of Human Genetics, 109, 1366-1387 American Journal of Human Genetics, 109(8), 1366-1387. Cell Press
Allesøe, R L, Lundgaard, A T, Hernández Medina, R, Aguayo-Orozco, A, Johansen, J, Nissen, J N, Brorsson, C, Mazzoni, G, Niu, L, Biel, J H, Brasas, V, Webel, H, Benros, M E, Pedersen, A G, Chmura, P J, Jacobsen, U P, Mari, A, Koivula, R, Mahajan, A, Vinuela, A, Tajes, J F, Sharma, S, Haid, M, Hong, M-G, Musholt, P B, de Masi, F, Vogt, J, Pedersen, H K, Gudmundsdottir, V, Jones, A, Kennedy, G, Bell, J, Thomas, E L, Frost, G, Thomsen, H, Hansen, E, Hansen, T H, Vestergaard, H, Muilwijk, M, Blom, M T, ‘t Hart, L M, Pattou, F, Raverdy, V, Brage, S, Kokkola, T, Heggie, A, McEvoy, D, Mourby, M, Kaye, J, Hattersley, A, McDonald, T, Ridderstråle, M, Walker, M, Forgie, I, Giordano, G N, Pavo, I, Ruetten, H, Pedersen, O, Hansen, T, Dermitzakis, E, Franks, P W, Schwenk, J M, Adamski, J, McCarthy, M I, Pearson, E, Banasik, K, Rasmussen, S, Brunak, S R, Froguel, P, Thomas, C E, Haussler, R, Beulens, J, Rutters, F, Nijpels, G, van Oort, S, Groeneveld, L, Elders, P, Giorgino, T, Rodriquez, M, Nice, R, Perry, M, Bianzano, S, Graefe-Mody, U, Hennige, A, Grempler, R, Baum, P, Stærfeldt, H-H, Shah, N, Teare, H, Ehrhardt, B, Tillner, J, Dings, C, Lehr, T, Scherer, N, Sihinevich, I, Cabrelli, L, Loftus, H, Bizzotto, R, Tura, A, Dekkers, K, van Leeuwen, N, Groop, L, Slieker, R, Ramisch, A, Jennison, C, McVittie, I, Frau, F, Steckel-Hamann, B, Adragni, K, Thomas, M, Pasdar, N A, Fitipaldi, H, Kurbasic, A, Mutie, P, Pomares-Millan, H, Bonnefond, A, Canouil, M, Caiazzo, R, Verkindt, H, Holl, R, Kuulasmaa, T, Deshmukh, H, Cederberg, H, Laakso, M, Vangipurapu, J, Dale, M, Thorand, B, Nicolay, C, Fritsche, A, Hill, A, Hudson, M, Thorne, C, Allin, K, Arumugam, M, Jonsson, A, Engelbrechtsen, L, Forman, A, Dutta, A, Sondertoft, N, Fan, Y, Gough, S, Robertson, N, McRobert, N, Wesolowska-Andersen, A, Brown, A, Davtian, D, Dawed, A, Donnelly, L, Palmer, C, White, M, Ferrer, J, Whitcher, B, Artati, A, Prehn, C, Adam, J, Grallert, H, Gupta, R, Sackett, P W, Nilsson, B, Tsirigos, K, Eriksen, R, Jablonka, B, Uhlen, M, Gassenhuber, J, IMI DIRECT Consortium, Baltauss, T, de Preville, N, Klintenberg, M & Abdalla, M 2023, ' Discovery of drug–omics associations in type 2 diabetes with generative deep-learning models ', Nature Biotechnology, vol. 41, no. 3, pp. 399-408 . https://doi.org/10.1038/s41587-022-01520-x Nature Biotechnology, 41(3), 399-408. Nature Publishing Group Allesøe, R L, Lundgaard, A T, Hernández Medina, R, Aguayo-Orozco, A, Johansen, J, Nissen, J N, Brorsson, C, Mazzoni, G, Niu, L, Biel, J H, Brasas, V, Webel, H, Benros, M E, Pedersen, A G, Chmura, P J, Jacobsen, U P, Mari, A, Koivula, R, Mahajan, A, Vinuela, A, Tajes, J F, Sharma, S, Haid, M, Hong, M G, Musholt, P B, De Masi, F, Vogt, J, Pedersen, H K, Gudmundsdottir, V, Jones, A, Kennedy, G, Bell, J, Thomas, E L, Frost, G, Thomsen, H, Hansen, E, Hansen, T H, Vestergaard, H, Muilwijk, M, Blom, M T, ‘t Hart, L M, Hansen, T, Schwenk, J M, Adamski, J, McCarthy, M I, Pearson, E, Banasik, K, Rasmussen, S, Brunak, S & Franks, P W 2023, ' Discovery of drug–omics associations in type 2 diabetes with generative deep-learning models ', Nature Biotechnology, vol. 41, no. 3, pp. 399-408 . https://doi.org/10.1038/s41587-022-01520-x Nature Biotechnology, 41, 399-408. NATURE PORTFOLIO Nature biotechnology, 41(3), 399-408. Nature Publishing Group