Trans-ethnic meta-analysis of white blood cell phenotypes

Autor: Keller, Margaux F, Reiner, Alexander P, Okada, Yukinori, van Rooij, Frank J. A, Johnson, Andrew D, Chen, Ming Huei, Smith, Albert V, Morris, Andrew P, Tanaka, Toshiko, Ferrucci, Luigi, Zonderman, Alan B, Lettre, Guillaume, Harris, Tamara, Garcia, Melissa, Bandinelli, Stefania, Qayyum, Rehan, Yanek, Lisa R, Becker, Diane M, Becker, Lewis C, Kooperberg, Charles, Keating, Brendan, Reis, Jared, Tang, Hua, Boerwinkle, Eric, Kamatani, Yoichiro, Matsuda, Koichi, Kamatani, Naoyuki, Nakamura, Yusuke, Kubo, Michiaki, Liu, Simin, Dehghan, Abbas, Felix, Janine F, Hofman, Albert, Uitterlinden, André G, van Duijn, Cornelia M, Franco, Oscar H, Longo, Dan L, Singleton, Andrew B, Psaty, Bruce M, Evans, Michelle K, Cupples, L. Adrienne, Rotter, Jerome I, O'Donnell, Christopher J, Takahashi, Atsushi, Wilson, James G, Ganesh, Santhi K, Nalls, Mike A, Arepalli, S, Bandinelli, S, Biffi, A, Bis, Jc, Boerwinkle, E, Chakravarti, A, Chen, Mh, Chong, S, Coresh, J, Couper, Dj, Cupples, L, Dehghan, A, Do'Ring, A, Eiriksdottir, G, Felix, Jf, Ferrucci, L, Folsom, Ar, Fox, Cs, Frayling, Tm, Ganesh, Sk, Garcia, M, Garner, Sf, Gasparini, Paolo, Gieger, C, Glazer, Nl, Gouskova, Na, Greinacher, A, Gudnason, V, Harris, Tb, Hernandez, Dg, Hofman, A, Illig, T, Kamatani, Y, Kamatani, N, Kubo, M, Kuhnel, B, Lagou, V, Lettre, G, Levi, D, Lin, J, Liu, Y, Longo, Dl, Lumley, T, Mangino, M, Matsuda, K, Meisinger, C, Melzer, D, Menzel, S, Moore, M, Nakamura, Y, Nalls, Ma, Nauck, M, O'Donnell, Cj, Okada, Y, Oostra, Ba, Ouwehand, Wh, Patel, Kv, Pirastu, Nicola, Pistis, Giorgio, Prokisch, H, Prokopenko, I, Psaty, Bm, Reiner, Ap, Rendon, A, Sambrook, J, Singleton, Ab, Smith, Av, Soranzo, N, Spector, Td, Stephens, J, Stumvoll, M, Takahashi, A, Tanaka, T, Taylor, K, Teumer, A, Thein, Sl, To'Njes, A, Toniolo, D, Tsunoda, T, Uitterlinden, Ag, van Duijn CM, van Rooij FJ, Vo'Lker, U, Vo'Lzke, H, Wichmann, H., Wiggins, Kl, Wilson, Jg, Witteman, Jc, Wood, Ar, Yamamoto, K, Yang, Q, Zakai, Na, Austin, Ma, Becker, Dm, Britton, A, Chen, Z, Couper, D, Curb, J, Dean, E, Eaton, Cb, Evans, Mk, Fornage, M, Grant, Sf, Hernandez, D, Kamatini, N, Keating, Bj, Lacroix, A, Lange, La, Liu, S, Lohman, K, Mathias, R, Meng, Y, Mohler ER 3rd, Musani, S, Palmer, Cd, Papanicolaou, Gj, Snively, Bm, Tang, H, Taylor HA Jr, Thomson, C, Yanek, Lr, Yang, L, Ziv, E, Zonderman, Ab, Higasa, K, Hirota, T, Hosono, N, Kumasaka, N, Ohmiya, H, Tamari, M, Yamaguchi Kabata, Y, Yamamoto, K.

Publikováno v: Human Molecular Genetics, 23(25), 6944-6960. Oxford University Press

White blood cell (WBC) count is a common clinical measure used as a predictor of certain aspects of human health, including immunity and infection status. WBC count is also a complex trait that varies among individuals and ancestry groups. Difference

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce521bb0755e92c469a4e92e282e4155
https://pubmed.ncbi.nlm.nih.gov/25096241

Meta-Analysis of Genome-Wide Association Studies in African Americans Provides Insights into the Genetic Architecture of Type 2 Diabetes

Autor: Ng, MCY, Shriner, D, Chen, BH, Li, J, Chen, WM, Guo, X, Liu, J, Bielinski, SJ, Yanek, LR, Nalls, MA, Comeau, ME, Rasmussen-Torvik, LJ, Jensen, RA, Evans, DS, Sun, YV, An, P, Patel, SR, Lu, Y, Long, J, Armstrong, LL, Wagenknecht, L, Yang, L, Snively, BM, Palmer, ND, Mudgal, P, Langefeld, CD, Keene, KL, Freedman, BI, Mychaleckyj, JC, Nayak, U, Raffel, LJ, Goodarzi, MO, Chen, YDI, Taylor, HA, Correa, A, Sims, M, Couper, DJ, Pankow, JS, Boerwinkle, E, Adeyemo, A, Doumatey, A, Chen, G, Mathias, RA, Vaidya, D, Singleton, AB, Zonderman, AB, Igo, RP, Sedor, JR, Zondervan, KT, Kabagambe, EK, Siscovick, DS, McKnight, B, Rice, K, Liu, Y, Hsueh, WC, Zhao, W, Bielak, LF, Kraja, A, Province, MA, Bottinger, EP, Gottesman, O, Cai, Q, Zheng, W, Blot, WJ, Lowe, WL, Pacheco, JA, Crawford, DC, Yang, TP, Wilk, A, Grundberg, E, Tsoka, S, Rich, SS, Hayes, MG, Shu, XO, Loos, RJF

Publikováno v: Ng, MCY; Shriner, D; Chen, BH; Li, J; Chen, WM; Guo, X; et al.(2014). Meta-Analysis of Genome-Wide Association Studies in African Americans Provides Insights into the Genetic Architecture of Type 2 Diabetes. PLoS Genetics, 10(8). doi: 10.1371/journal.pgen.1004517. UCSF: Retrieved from: http://www.escholarship.org/uc/item/8r8589bq

© 2014. Type 2 diabetes (T2D) is more prevalent in African Americans than in Europeans. However, little is known about the genetic risk in African Americans despite the recent identification of more than 70 T2D loci primarily by genome-wide associat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______325::c49acf65b89cb6d2567d3e1fe6a867db
http://www.escholarship.org/uc/item/8r8589bq

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