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
European Journal of Human Genetics, 27(6), 952-962. Nature Publishing Group Repositorio EdocUR-U. Rosario Universidad del Rosario instacron:Universidad del Rosario European Journal of Human Genetics van Setten, J, Verweij, N, Mbarek, H, Niemeijer, M N, Trompet, S, Arking, D E, Brody, J A, Gandin, I, Grarup, N, Hall, L M, Hemerich, D, Lyytikäinen, L-P, Mei, H, Müller-Nurasyid, M, Prins, B P, Robino, A, Smith, A V, Warren, H R, Asselbergs, F W, Boomsma, D I, Caulfield, M J, Eijgelsheim, M, Ford, I, Hansen, T, Harris, T B, Heckbert, S R, Hottenga, J-J, Iorio, A, Kors, J A, Linneberg, A, MacFarlane, P W, Meitinger, T, Nelson, C P, Raitakari, O T, Silva Aldana, C T, Sinagra, G, Sinner, M, Soliman, E Z, Stoll, M, Uitterlinden, A, van Duijn, C M, Waldenberger, M, Alonso, A, Gasparini, P, Gudnason, V, Jamshidi, Y, Kääb, S, Kanters, J K, Lehtimäki, T, Munroe, P B, Peters, A, Samani, N J, Sotoodehnia, N, Ulivi, S, Wilson, J G, de Geus, E J C, Jukema, J W, Stricker, B, van der Harst, P, de Bakker, P I W & Isaacs, A 2019, ' Genome-wide association meta-analysis of 30,000 samples identifies seven novel loci for quantitative ECG traits ', European Journal of Human Genetics, vol. 27, pp. 952-962 . https://doi.org/10.1038/s41431-018-0295-z Eur. J. Hum. Genet. 27, 952-962 (2019) European Journal of Human Genetics, 27(6), 952-962. NATURE PUBLISHING GROUP van Setten, J, Verweij, N, Mbarek, H, Niemeijer, M N, Trompet, S, Arking, D E, Brody, J A, Gandin, I, Grarup, N, Hall, L M, Hemerich, D, Lyytikäinen, L P, Mei, H, Müller-Nurasyid, M, Prins, B P, Robino, A, Smith, A V, Warren, H R, Asselbergs, F W, Boomsma, D I, Caulfield, M J, Eijgelsheim, M, Ford, I, Hansen, T, Harris, T B, Heckbert, S R, Hottenga, J J, Iorio, A, Kors, J A, Linneberg, A, MacFarlane, P W, Meitinger, T, Nelson, C P, Raitakari, O T, Silva Aldana, C T, Sinagra, G, Sinner, M, Soliman, E Z, Stoll, M, Uitterlinden, A, van Duijn, C M, Waldenberger, M, Alonso, A, Gasparini, P, Gudnason, V, Jamshidi, Y, Kääb, S, Kanters, J K, Lehtimäki, T, Munroe, P B, Peters, A, Samani, N J, Sotoodehnia, N, Ulivi, S, Wilson, J G, de Geus, E J C, Jukema, J W, Stricker, B, van der Harst, P, de Bakker, P I W & Isaacs, A 2019, ' Genome-wide association meta-analysis of 30,000 samples identifies seven novel loci for quantitative ECG traits ', European Journal of Human Genetics, vol. 27, no. 6, pp. 952-962 . https://doi.org/10.1038/s41431-018-0295-z