Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
The trans-ancestral genomic architecture of glycemic traits |
| Συγγραφείς: |
Chen, J, Spracklen, CN, Marenne, G, Varshney, A, Corbin, LJ, Luan, J, Willems, SM, Wu, Y, Zhang, X, Horikoshi, M, Boutin, TS, Magi, R, Waage, J, Li-Gao, R, Chan, KHK, Yao, J, Anasanti, MD, Chu, AY, Claringbould, A, Heikkinen, J, Hong, J, Hottenga, J-J, Huo, S, Kaakinen, MA, Louie, T, Maerz, W, Moreno-Macias, H, Ndungu, A, Nelson, SC, Nolte, IM, North, KE, Raulerson, CK, Ray, D, Rohde, R, Rybin, D, Schurmann, C, Sim, X, Southam, L, Stewart, ID, Wang, CA, Wang, Y, Wu, P, Zhang, W, Ahluwalia, TS, Appel, EVR, Bielak, LF, Brody, JA, Burtt, NP, Cabrera, CP, Cade, BE, Chai, JF, Chai, X, Chang, L-C, Chen, C-H, Chen, BH, Chitrala, KN, Chiu, Y-F, de Haan, HG, Delgado, GE, Demirkan, A, Duan, Q, Engmann, J, Fatumo, SA, Gayan, J, Giulianini, F, Gong, JH, Gustafsson, S, Hai, Y, Hartwig, FP, He, J, Heianza, Y, Huang, T, Huerta-Chagoya, A, Hwang, MY, Jensen, RA, Kawaguchi, T, Kentistou, KA, Kim, YJ, Kleber, ME, Kooner, IK, Lai, S, Lange, LA, Langefeld, CD, Lauzon, M, Li, M, Ligthart, S, Liu, J, Loh, M, Long, J, Lyssenko, V, Mangino, M, Marzi, C, Montasser, ME, Nag, A, Nakatochi, M, Noce, D, Noordam, R, Pistis, G, Preuss, M, Raffield, L, Rasmussen-Torvik, LJ, Rich, SS, Robertson, NR, Rueedi, R, Ryan, K, Sanna, S, Saxena, R, Schraut, KE, Sennblad, B, Setoh, K, Smith, AV, Sparso, T, Strawbridge, RJ, Takeuchi, F, Tan, J, Trompet, S, van den Akker, E, van der Most, PJ, Verweij, N, Vogel, M, Wang, H, Wang, C, Wang, N, Warren, HR, Wen, W, Wilsgaard, T, Wong, A, Wood, AR, Xie, T, Zafarmand, MH, Zhao, J-H, Zhao, W, Amin, N, Arzumanyan, Z, Astrup, A, Bakker, SJL, Baldassarre, D, Beekman, M, Bergman, RN, Bertoni, A, Blueher, M, Bonnycastle, LL, Bornstein, SR, Bowden, DW, Cai, Q, Campbell, A, Campbell, H, Chang, YC, de Geus, EJC, Dehghan, A, Du, S, Eiriksdottir, G, Farmaki, AE, Franberg, M, Fuchsberger, C, Gao, Y, Gjesing, AP, Goel, A, Han, S, Hartman, CA, Herder, C, Hicks, AA, Hsieh, C-H, Hsueh, WA, Ichihara, S, Igase, M, Ikram, MA, Johnson, WC, Jorgensen, ME, Joshi, PK, Kalyani, RR, Kandeel, FR, Katsuya, T, Khor, CC, Kiess, W, Kolcic, I, Kuulasmaa, T, Kuusisto, J, Lall, K, Lam, K, Lawlor, DA, Lee, NR, Lemaitre, RN, Li, H, Lin, S-Y, Lindstrom, J, Linneberg, A, Lorenzo, C, Matsubara, T, Matsuda, F, Mingrone, G, Mooijaart, S, Moon, S, Nabika, T, Nadkarni, GN, Nadler, JL, Nelis, M, Neville, MJ, Norris, JM, Ohyagi, Y, Peters, A, Peyser, PA, Polasek, O, Qi, Q, Raven, D, Reilly, DF, Reiner, A, Rivideneira, F, Roll, K, Rudan, I, Sabanayagam, C, Sandow, K, Sattar, N, Schuermann, A, Shi, J, Stringham, HM, Taylor, KD, Teslovich, TM, Thuesen, B, Timmers, PRHJ, Tremoli, E, Tsai, MY, Uitterlinden, A, van Dam, RM, van Heemst, D, van Hylckama Vlieg, A, van Vliet-Ostaptchouk, JV, Vangipurapu, J, Vestergaard, H, Wang, T, Willems van Dijk, K, Zemunik, T, Abecasis, GR, Adair, LS, Aguilar-Salinas, CA, Alarcon-Riquelme, ME, An, P, Aviles-Santa, L, Becker, DM, Beilin, LJ, Bergmann, S, Bisgaard, H, Black, C, Boehnke, M, Boerwinkle, E, Boehm, BO, Bonnelykke, K, Boomsma, DI, Bottinger, EP, Buchanan, TA, Canouil, M, Caulfield, MJ, Chambers, JC, Chasman, DI, Chen, Y-DI, Cheng, C-Y, Collins, FS, Correa, A, Cucca, F, de Silva, HJ, Dedoussis, G, Elmstahl, S, Evans, MK, Ferrannini, E, Ferrucci, L, Florez, JC, Franks, PW, Frayling, TM, Froguel, P, Gigante, B, Goodarzi, MO, Gordon-Larsen, P, Grallert, H, Grarup, N, Grimsgaard, S, Groop, L, Gudnason, V, Guo, X, Hamsten, A, Hansen, T, Hayward, C, Heckbert, SR, Horta, BL, Huang, W, Ingelsson, E, James, PS, Jarvelin, M-R, Jonas, JB, Jukema, JW, Kaleebu, P, Kaplan, R, Kardia, SLR, Kato, N, Keinanen-Kiukaanniemi, SM, Kim, B-J, Kivimaki, M, Koistinen, HA, Kooner, JS, Koerner, A, Kovacs, P, Kuh, D, Kumari, M, Kutalik, Z, Laakso, M, Lakka, TA, Launer, LJ, Leander, K, Lin, X, Lind, L, Lindgren, C, Liu, S, Loos, RJF, Magnusson, PKE, Mahajan, A, Metspalu, A, Mook-Kanamori, DO, Mori, TA, Munroe, PB, Njolstad, I, O'Connell, JR, Oldehinkel, AJ, Ong, KK, Padmanabhan, S, Palmer, CNA, Palmer, ND, Pedersen, O, Pennell, CE, Porteous, DJ, Pramstaller, PP, Province, MA, Psaty, BM, Qi, L, Raffel, LJ, Rauramaa, R, Redline, S, Ridker, PM, Rosendaal, FR, Saaristo, TE, Sandhu, M, Saramies, J, Schneiderman, N, Schwarz, P, Scott, LJ, Selvin, E, Sever, P, Shu, X-O, Slagboom, PE, Small, KS, Smith, BH, Snieder, H, Sofer, T, Sorensen, TIA, Spector, TD, Stanton, A, Steves, CJ, Stumvoll, M, Sun, L, Tabara, Y, Tai, ES, Timpson, NJ, Tonjes, A, Tuomilehto, J, Tusie, T, Uusitupa, M, van der Harst, P, van Duijn, C, Vitart, V, Vollenweider, P, Vrijkotte, TGM, Wagenknecht, LE, Walker, M, Wang, YX, Wareham, NJ, Watanabe, RM, Watkins, H, Wei, WB, Wickremasinghe, AR, Willemsen, G, Wilson, JF, Wong, T-Y, Wu, J-Y, Xiang, AH, Yanek, LR, Yengo, L, Yokota, M, Zeggini, E, Zheng, W, Zonderman, AB, Rotter, JI, Gloyn, AL, McCarthy, MI, Dupuis, J, Meigs, JB, Scott, RA, Prokopenko, I, Leong, A, Liu, C-T, Parker, SCJ, Mohlke, KL, Langenberg, C, Wheeler, E, Morris, AP, Barroso, I |
| Πηγή: |
Nature Genetics , 53 (6) pp. 840-860. (2021) |
| Στοιχεία εκδότη: |
NATURE RESEARCH |
| Έτος έκδοσης: |
2021 |
| Συλλογή: |
University College London: UCL Discovery |
| Θεματικοί όροι: |
WIDE ASSOCIATION, INSULIN-RESISTANCE, GENE-EXPRESSION, DISEASE RISK, VARIANTS, GLUCOSE, LOCI, METAANALYSIS, MECHANISMS, HEMOGLOBIN |
| Περιγραφή: |
Glycemic traits are used to diagnose and monitor type 2 diabetes and cardiometabolic health. To date, most genetic studies of glycemic traits have focused on individuals of European ancestry. Here we aggregated genome-wide association studies comprising up to 281,416 individuals without diabetes (30% non-European ancestry) for whom fasting glucose, 2-h glucose after an oral glucose challenge, glycated hemoglobin and fasting insulin data were available. Trans-ancestry and single-ancestry meta-analyses identified 242 loci (99 novel; P < 5 × 10−8), 80% of which had no significant evidence of between-ancestry heterogeneity. Analyses restricted to individuals of European ancestry with equivalent sample size would have led to 24 fewer new loci. Compared with single-ancestry analyses, equivalent-sized trans-ancestry fine-mapping reduced the number of estimated variants in 99% credible sets by a median of 37.5%. Genomic-feature, gene-expression and gene-set analyses revealed distinct biological signatures for each trait, highlighting different underlying biological pathways. Our results increase our understanding of diabetes pathophysiology by using trans-ancestry studies for improved power and resolution. |
| Τύπος εγγράφου: |
article in journal/newspaper |
| Περιγραφή αρχείου: |
text |
| Γλώσσα: |
English |
| Relation: |
https://discovery.ucl.ac.uk/id/eprint/10134344/ |
| Διαθεσιμότητα: |
https://discovery.ucl.ac.uk/id/eprint/10134344/1/Trans-ancestral%20genomic%20architecture%20of%20glycemic%20traits.%20final%20accepted.pdf
https://discovery.ucl.ac.uk/id/eprint/10134344/ |
| Rights: |
open |
| Αριθμός Καταχώρησης: |
edsbas.3C0436CD |
| Βάση Δεδομένων: |
BASE |