Large meta-analysis of genome-wide association studies identifies five loci for lean body mass

Autor: Zillikens, MC, Demissie, S, Hsu, YH, Yerges-Armstrong, LM, Chou, WC, Stolk, L, Livshits, G, Broer, L, Johnson, T, Koller, DL, Kutalik, Z, Luan, J, Malkin, I, Ried, JS, Smith, AV, Thorleifsson, G, Vandenput, L, Hua Zhao, J, Zhang, W, Aghdassi, A, Åkesson, K, Amin, N, Baier, LJ, Barroso, I, Bennett, DA, Bertram, L, Biffar, R, Bochud, M, Boehnke, M, Borecki, IB, Buchman, AS, Byberg, L, Campbell, H, Campos Obanda, N, Cauley, JA, Cawthon, PM, Cederberg, H, Chen, Z, Cho, NH, Jin Choi, H, Claussnitzer, M, Collins, F, Cummings, SR, De Jager, PL, Demuth, I, Dhonukshe-Rutten, RAM, DIatchenko, L, Eiriksdottir, G, Enneman, AW, Erdos, M, Eriksson, JG, Eriksson, J, Estrada, K, Evans, DS, Feitosa, MF, Fu, M, Garcia, M, Gieger, C, Girke, T, Glazer, NL, Grallert, H

Publikováno v: Zillikens, MC; Demissie, S; Hsu, YH; Yerges-Armstrong, LM; Chou, WC; Stolk, L; et al.(2017). Large meta-analysis of genome-wide association studies identifies five loci for lean body mass. Nature Communications, 8(1). doi: 10.1038/s41467-017-00031-7. UCLA: Retrieved from: http://www.escholarship.org/uc/item/92d0g26c

© 2017 The Author(s). Lean body mass, consisting mostly of skeletal muscle, is important for healthy aging. We performed a genome-wide association study for whole body (20 cohorts of European ancestry with n = 38,292) and appendicular (arms and legs

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______325::734a42399d195b9af490c65c8ff3a9c3
http://www.escholarship.org/uc/item/92d0g26c

Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility

Autor: Wessel, J, Chu, AY, Willems, SM, Wang, S, Yaghootkar, H, Brody, JA, Dauriz, M, Hivert, MF, Raghavan, S, Lipovich, L, Hidalgo, B, Fox, K, Huffman, JE, An, P, Lu, Y, Rasmussen-Torvik, LJ, Grarup, N, Ehm, MG, Li, L, Baldridge, AS, Stančáková, A, Abrol, R, Besse, C, Boland, A, Bork-Jensen, J, Fornage, M, Freitag, DF, Garcia, ME, Guo, X, Hara, K, Isaacs, A, Jakobsdottir, J, Lange, LA, Layton, JC, Li, M, Hua Zhao, J, Meidtner, K, Morrison, AC, Nalls, MA, Peters, MJ, Sabater-Lleal, M, Schurmann, C, Silveira, A, Smith, AV, Southam, L, Stoiber, MH, Strawbridge, RJ, Taylor, KD, Varga, TV, Allin, KH, Amin, N, Aponte, JL, Aung, T, Barbieri, C, Bihlmeyer, NA, Boehnke, M, Bombieri, C, Bowden, DW, Burns, SM, Chen, Y, Chen, YD, Cheng, CY, Correa, A, Czajkowski, J, Dehghan, A, Ehret, GB, Eiriksdottir, G, Escher, SA, Farmaki, AE, Frånberg, M, Gambaro, G, Giulianini, F, Goddard, WA

Publikováno v: Wessel, J; Chu, AY; Willems, SM; Wang, S; Yaghootkar, H; Brody, JA; et al.(2015). Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility. Nature Communications, 6. doi: 10.1038/ncomms6897. UCLA: Retrieved from: http://www.escholarship.org/uc/item/8rr9g67v

© 2015 Macmillan Publishers Limited. All rights reserved. Fasting glucose and insulin are intermediate traits for type 2 diabetes. Here we explore the role of coding variation on these traits by analysis of variants on the HumanExome BeadChip in 60,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______325::e1e08b2b78e9f8ea0f2ec1d6cbe5b83e
http://www.escholarship.org/uc/item/8rr9g67v

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Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits

Autor: Justice, AE, Winkler, TW, Feitosa, MF, Graff, M, Fisher, VA, Young, K, Barata, L, Deng, X, Czajkowski, J, Hadley, D, Ngwa, JS, Ahluwalia, TS, Chu, AY, Heard-Costa, NL, Lim, E, Perez, J, Eicher, JD, Kutalik, Z, Xue, L, Mahajan, A, Renström, F, Wu, J, Qi, Q, Ahmad, S, Alfred, T, Amin, N, Bielak, LF, Bonnefond, A, Bragg, J, Cadby, G, Chittani, M, Coggeshall, S, Corre, T, Direk, N, Eriksson, J, Fischer, K, Gorski, M, Neergaard Harder, M, Horikoshi, M, Huang, T, Huffman, JE, Jackson, AU, Justesen, JM, Kanoni, S, Kinnunen, L, Kleber, ME, Komulainen, P, Kumari, M, Lim, U, Luan, J, Lyytikäinen, L-P, Mangino, M, Manichaikul, A, Marten, J, Middelberg, RPS, Müller-Nurasyid, M, Navarro, P, Pérusse, L, Pervjakova, N, Sarti, C, Smith, AV, Smith, JA, Stančáková, A, Strawbridge, RJ, Stringham, HM, Sung, YJ, Tanaka, T, Teumer, A, Trompet, S, Van Der Laan, SW, Van Der Most, PJ, Van Vliet-Ostaptchouk, JV, Vedantam, SL, Verweij, N, Vink, JM, Vitart, V, Wu, Y, Yengo, L, Zhang, W, Hua Zhao, J, Zimmermann, ME, Zubair, N, Abecasis, GR, Adair, LS, Afaq, S, Afzal, U, Bakker, SJL, Bartz, TM, Beilby, J, Bergman, RN, Bergmann, S, Biffar, R, Blangero, J, Boerwinkle, E, Bonnycastle, LL, Bottinger, E, Braga, D, Buckley, BM, Buyske, S, Campbell, H, Chambers, JC, Collins, FS, Curran, JE, De Borst, GJ, De Craen, AJM, De Geus, EJC, Dedoussis, G, Delgado, GE, Den Ruijter, HM, Eiriksdottir, G, Eriksson, AL, Esko, T, Faul, JD, Ford, I, Forrester, T, Gertow, K, Gigante, B, Glorioso, N, Gong, J, Grallert, H, Grammer, TB, Grarup, N, Haitjema, S, Hallmans, G, Hamsten, A, Hansen, T, Harris, TB, Hartman, CA, Hassinen, M, Hastie, ND, Heath, AC, Hernandez, D, Hindorff, L, Hocking, LJ, Hollensted, M, Holmen, OL, Homuth, G, Jan Hottenga, J, Huang, J, Hung, J, Hutri-Kähönen, N, Ingelsson, E, James, AL, Jansson, J-O, Jarvelin, M-R, Jhun, MA, Jørgensen, ME, Juonala, M, Kähönen, M, Karlsson, M, Koistinen, HA, Kolcic, I, Kolovou, G, Kooperberg, C, Krämer, BK, Kuusisto, J, Kvaløy, K, Lakka, TA, Langenberg, C, Launer, LJ, Leander, K, Lee, NR, Lind, L, Lindgren, CM, Linneberg, A, Lobbens, S, Loh, M, Lorentzon, M, Luben, R, Lubke, G, Ludolph-Donislawski, A, Lupoli, S, Madden, PAF, Männikkö, R, Marques-Vidal, P, Martin, NG, McKenzie, CA, McKnight, B, Mellström, D, Menni, C, Montgomery, GW, Musk, AB, Narisu, N, Nauck, M, Nolte, IM, Oldehinkel, AJ, Olden, M, Ong, KK, Padmanabhan, S, Peyser, PA, Pisinger, C, Porteous, DJ, Raitakari, OT, Rankinen, T, Rao, DC, Rasmussen-Torvik, LJ, Rawal, R, Rice, T, Ridker, PM, Rose, LM, Bien, SA, Rudan, I, Sanna, S, Sarzynski, MA, Sattar, N, Savonen, K, Schlessinger, D, Scholtens, S, Schurmann, C, Scott, RA, Sennblad, B, Siemelink, MA, Silbernagel, G, Slagboom, PE, Snieder, H, Staessen, JA, Stott, DJ, Swertz, MA, Swift, AJ, Taylor, KD, Tayo, BO, Thorand, B, Thuillier, D, Tuomilehto, J, Uitterlinden, AG, Vandenput, L, Vohl, M-C, Völzke, H, Vonk, JM, Waeber, G, Waldenberger, M, Westendorp, RGJ, Wild, S, Willemsen, G, Wolffenbuttel, BHR, Wong, A, Wright, AF, Zhao, W, Zillikens, MC, Baldassarre, D, Balkau, B, Bandinelli, S, Böger, CA, Boomsma, DI, Bouchard, C, Bruinenberg, M, Chasman, DI, Chen, Y-D, Chines, PS, Cooper, RS, Cucca, F, Cusi, D, Faire, UD, Ferrucci, L, Franks, PW, Froguel, P, Gordon-Larsen, P, Grabe, H-J, Gudnason, V, Haiman, CA, Hayward, C, Hveem, K, Johnson, AD, Wouter Jukema, J, Kardia, SLR, Kivimaki, M, Kooner, JS, Kuh, D, Laakso, M, Lehtimäki, T, Marchand, LL, März, W, McCarthy, MI, Metspalu, A, Morris, AP, Ohlsson, C, Palmer, LJ, Pasterkamp, G, Pedersen, O, Peters, A, Peters, U, Polasek, O, Psaty, BM, Qi, L, Rauramaa, R, Smith, BH, Sørensen, TIA, Strauch, K, Tiemeier, H, Tremoli, E, Van Der Harst, P, Vestergaard, H, Vollenweider, P, Wareham, NJ, Weir, DR, Whitfield, JB, Wilson, JF, Tyrrell, J, Frayling, TM, Barroso, I, Boehnke, M, Deloukas, P, Fox, CS, Hirschhorn, JN, Hunter, DJ, Spector, TD, Strachan, DP, Van Duijn, CM, Heid, IM, Mohlke, KL, Marchini, J, Loos, RJF, Kilpeläinen, TO, Liu, C-T, Borecki, IB, North, KE, Cupples, LA

Few genome-wide association studies (GWAS) account for environmental exposures, like smoking, potentially impacting the overall trait variance when investigating the genetic contribution to obesity-related traits. Here, we use GWAS data from 51,080 c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2c05fbe865ce0f0bee645db9b9f22308

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