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
Genome Biology, 23(1):268. Springer Verlag Genome Biology, 23:268. BMC Genome biology, vol. 23, no. 1, pp. 268 Kanoni, S, Graham, S E, Wang, Y, Surakka, I, Ramdas, S, Zhu, X, Clarke, S L, 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, Rosenthal, E A, Lingren, T, Feng, Q, Kullo, I J, Narita, A, Takayama, J, Martin, H C, Hunt, K A, Trivedi, B, Haessler, J, Giulianini, F, Bradford, Y, Miller, J E, Campbell, A, Lin, K, Millwood, I Y, Rasheed, A, Hindy, G, Faul, J D, Zhao, W, Weir, D R, Turman, C, Huang, H, Graff, M, Choudhury, A, Sengupta, D, Mahajan, A, Brown, M R, Zhang, W, Yu, K, Schmidt, E M, Pandit, A, Gustafsson, S, Yin, X, Luan, J, Zhao, J-H, Matsuda, F, Jang, H-M, Yoon, K, Medina-Gomez, C, Pitsillides, A, Hottenga, J J, Wood, A R, Ji, 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Chitrala, K N, Weiss, S, Bentley, A R, Doumatey, A P, Adeyemo, A A, Lee, J Y, Petersen, E R B, Nielsen, A A, Choi, H S, Nethander, M, Freitag-Wolf, S, Southam, L, Rayner, N W, Wang, C A, Lin, S-Y, Wang, J-S, Couture, C, Lyytikäinen, L-P, Nikus, K, Cuellar-Partida, G, Vestergaard, H, Hidalgo, B, Giannakopoulou, O, Cai, Q, Obura, M O, van Setten, J, Li, X, Liang, J, Tang, H, Terzikhan, N, Shin, J H, Jackson, R D, Reiner, A P, Martin, L W, Chen, Z, Li, L, Kawaguchi, T, Thiery, J, Bis, J C, Launer, L J, Li, H, Nalls, M A, Raitakari, O T, Ichihara, S, Wild, S H, Nelson, C P, Campbell, H, Jäger, S, Nabika, T, Al-Mulla, F, Niinikoski, H, Braund, P S, Kolcic, I, Kovacs, P, Giardoglou, T, Katsuya, T, de Kleijn, D, de Borst, G J, Kim, E K, Adams, H H H, Ikram, M A, Zhu, X, Asselbergs, F W, Kraaijeveld, A O, Beulens, J W J, Shu, X-O, Rallidis, L S, Pedersen, O, Hansen, T, Mitchell, P, Hewitt, A W, Kähönen, M, Pérusse, L, Bouchard, C, Tönjes, A, Chen, Y-D I, Pennell, C E, Mori, T A, Lieb, W, 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Nature Nature, 610(7933), 704-712. Nature Publishing Group Nature, 610. Nature Publishing Group Nature 610, 704–712 (2022) 23Andme Research Team 2022, ' A saturated map of common genetic variants associated with human height ', Nature, vol. 610, no. 7933, pp. 704-712 . https://doi.org/10.1038/s41586-022-05275-y, https://doi.org/10.1038/s41586-022-05275-y NATURE r-IIB SANT PAU. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica Sant Pau instname Yengo, L, Vedantam, S, Marouli, E, Sidorenko, J, Bartell, E, Sakaue, S, Graff, M, Eliasen, A U, Jiang, Y, Raghavan, S, Miao, J, Arias, J D, Graham, S E, Mukamel, R E, Spracklen, C N, Yin, X, Chen, S-H, Ferreira, T, Highland, H H, Ji, Y, Karaderi, T, Lin, K, Lull, K, Malden, D E, Andersen, M K, Appadurai, V, Bork-Jensen, J, Burgdorf, K S, Hansen, T F, Jonsson, A, Jorgensen, T, Liu, J, Mollehave, L T, Smit, R A J, Zhao, J-H, Bisgaard, H, Bonnelykke, K, Dantoft, T M, Grarup, N, Hansen, T, Jackson, R D, Karpe, F, Kovacs, P, Lind, L, Linneberg, A, Pedersen, O, Werge, T M, Sun, Y, Loos, R J F, Winkler, T W, 23andMe Res Team, VA Million Vet Program, DiscovEHR DiscovEHR MyCode Communi, eEMERGE Elect Med Records Genomics, LifeLines Cohort Study, PRACTICAL consortium & Understanding Soc Sci Grp 2022, ' A saturated map of common genetic variants associated with human height ', Nature, vol. 610, pp. 704–712 . https://doi.org/10.1038/s41586-022-05275-y 23andMe Research Team, Yengo, L, Vedantam, S, Marouli, E, Sidorenko, J, Bartell, E, Sakaue, S, Graff, M, Eliasen, A U, Jiang, Y, Raghavan, S, Miao, J, Arias, J D, Graham, S E, Mukamel, R E, Spracklen, C N, Yin, X, Chen, S-H, Ferreira, T, Highland, H H, Ji, Y, Karaderi, T, Lin, K, Lüll, K, Malden, D E, Medina-Gomez, C, Machado, M, Moore, A, Rüeger, S, Sim, X, Vrieze, S, Ahluwalia, T S, Akiyama, M, Allison, M A, Alvarez, M, Andersen, M K, Ani, A, Appadurai, V, Arbeeva, L, Cai, H, Cañadas-Garre, M, Li, X, Nelson, C P, Smyth, L J, Sun, L, Wang, Z, Cole, J W, Cooper, R S, Kee, F, McKnight, A J & Weir, D R 2022, ' A saturated map of common genetic variants associated with human height ', Nature . https://doi.org/10.1038/s41586-022-05275-y 2022, ' A saturated map of common genetic variants associated with human height ', Nature, vol. 610, no. 7933, pp. 704-712 . https://doi.org/10.1038/s41586-022-05275-y 23andMe Research Team, VA Million Veteran Program, DiscovEHR (DiscovEHR and MyCode Community Health Initiative), eMERGE (Electronic Medical Records and Genomics Network), Lifelines Cohort Study, The PRACTICAL Consortium & Understanding Society Scientific Group 2022, ' A saturated map of common genetic variants associated with human height ', Nature, vol. 610, pp. 704–712 . https://doi.org/10.1038/s41586-022-05275-y Nature, 610(7933), 704-712 Nature, 610, 704-712. Nature Publishing Group Nature, 610, 7933, pp. 704-712 Nature 610 (2022) Yengo, L, Vedantam, S, Marouli, E, Sidorenko, J, Bartell, E, Sakaue, S, Graff, M, Eliasen, A U, Jiang, Y, Raghavan, S, Miao, J, Arias, J D, Graham, S E, Mukamel, R E, Spracklen, C N, Yin, X, Chen, S-H, Ferreira, T, Highland, H H, Ji, Y, Karaderi, T, Lin, K, Lüll, K, Malden, D E, Medina-Gomez, C, Machado, M, Moore, A, Rüeger, S, Sim, X, Vrieze, S, Ahluwalia, T S, Akiyama, M, Andersen, M K, Grove, J, Hansen, T F, Jørgensen, T, Mattheisen, M, Petersen, L V, Wang, Z, Børglum, A D, Dantoft, T M, Grarup, N, Hansen, T, Huang, W, Nielsen, C S, Pedersen, O, Ng, M C Y, Sun, Y V, Winkler, T W, Yang, J, 23andMe Research Team, VA Million Vet Program, DiscovEHR Collaboration, eMERGE Consortium, Lifelines Cohort Study, The PRACTICAL Consortium & Understanding Society Scientific Group 2022, ' A saturated map of common genetic variants associated with human height ', Nature, vol. 610, no. 7933, pp. 704–712 . https://doi.org/10.1038/s41586-022-05275-y Nature, 610, 704-712 Nature, vol. 610, no. 7933, pp. 704-712 eMERGE (Electronic Medical Records and Genomics Network), The PRACTICAL consortium, Lifelines Cohort Study, 23andMe Research team, Understanding Society Scientific group, VA Million Veteran Program & DiscovEHR (DiscovEHR and MyCode Community Health Initiative) 2022, ' A saturated map of common genetic variants associated with human height ', Nature, vol. 610, pp. 704-712 . https://doi.org/10.1038/s41586-022-05275-y