10 results on '"Rybin, D."'
Search Results
2. Erratum: New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk (Nature Genetics (2010) 42 (105-116))
- Author
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Dupuis, J, Langenberg, C, Prokopenko, I, Saxena, R, Soranzo, N, Jackson, AU, Wheeler, E, Glazer, NL, Bouatia-Naji, N, Gloyn, AL, Lindgren, CM, Mägi, R, Morris, AP, Randall, J, Johnson, T, Elliott, P, Rybin, D, Thorleifsson, G, Steinthorsdottir, V, Henneman, P, Grallert, H, Dehghan, A, Hottenga, JJ, Franklin, CS, Navarro, P, Song, K, Goel, A, Perry, JRB, Egan, JM, Lajunen, T, Grarup, N, Sparsø, T, Doney, A, Voight, BF, Stringham, HM, Li, M, Kanoni, S, Shrader, P, Cavalcanti-Proença, C, Kumari, M, Qi, L, Timpson, NJ, Gieger, C, Zabena, C, Rocheleau, G, Ingelsson, E, An, P, O'Connell, J, Luan, J, Elliott, A, McCarroll, SA, Payne, F, Roccasecca, RM, Pattou, F, Sethupathy, P, Ardlie, K, Ariyurek, Y, Balkau, B, Barter, P, Beilby, JP, Ben-Shlomo, Y, Benediktsson, R, Bennett, AJ, Bergmann, S, Bochud, M, Boerwinkle, E, Bonnefond, A, Bonnycastle, LL, Borch-Johnsen, K, Böttcher, Y, Brunner, E, Bumpstead, SJ, Charpentier, G, Chen, Y-DI, Chines, P, Clarke, R, Coin, LJM, Cooper, MN, Cornelis, M, Crawford, G, Crisponi, L, Day, INM, De Geus, EJC, Delplanque, J, Dina, C, Erdos, MR, Fedson, AC, Fischer-Rosinsky, A, Forouhi, NG, Fox, CS, Frants, R, Franzosi, MG, Galan, P, Goodarzi, MO, Graessler, J, Groves, CJ, Grundy, S, Gwilliam, R, Gyllensten, U, Hadjadj, S, Hallmans, G, Hammond, N, Han, X, Hartikainen, A-L, Hassanali, N, Hayward, C, Heath, SC, Hercberg, S, Herder, C, Hicks, AA, Hillman, DR, Hingorani, AD, Hofman, A, Hui, J, Hung, J, Isomaa, B, Johnson, PRV, Jørgensen, T, Jula, A, Kaakinen, M, Kaprio, J, Kesaniemi, YA, Kivimaki, M, Knight, B, Koskinen, S, Kovacs, P, Kyvik, KO, Lathrop, GM, Lawlor, DA, Le Bacquer, O, Lecoeur, C, Li, Y, Lyssenko, V, Mahley, R, Mangino, M, Manning, AK, Martínez-Larrad, MT, McAteer, JB, McCulloch, LJ, McPherson, R, Meisinger, C, Melzer, D, Meyre, D, Mitchell, BD, Morken, MA, Mukherjee, S, Naitza, S, Narisu, N, Neville, MJ, Oostra, BA, Orr, M, Pakyz, R, Palmer, CNA, Paolisso, G, Pattaro, C, Pearson, D, Peden, JF, Pedersen, NL, Perola, M, Pfeiffer, AFH, Pichler, I, Polasek, O, Posthuma, D, Potter, SC, Pouta, A, Province, MA, Psaty, BM, Rathmann, W, Rayner, NW, Rice, K, Ripatti, S, Rivadeneira, F, Roden, M, Rolandsson, O, Sandbaek, A, Sandhu, M, Sanna, S, Sayer, AA, Scheet, P, Scott, LJ, Seedorf, U, Sharp, SJ, Shields, B, Sigursson, G, Sijbrands, EJG, Silveira, A, Simpson, L, Singleton, A, Smith, NL, Sovio, U, Swift, A, Syddall, H, Syvänen, A-C, Tanaka, T, Thorand, B, Tichet, J, Tönjes, A, Tuomi, T, Uitterlinden, AG, Van Dijk, KW, Van Hoek, M, Varma, D, Visvikis-Siest, S, Vitart, V, Vogelzangs, N, Waeber, G, Wagner, PJ, Walley, A, Walters, GB, Ward, KL, Watkins, H, Weedon, MN, Wild, SH, Willemsen, G, Witteman, JCM, Yarnell, JWG, Zeggini, E, Zelenika, D, Zethelius, B, Zhai, G, Zhao, JH, Zillikens, MC, Consortium, D, Consortium, G, Consortium, GB, Borecki, IB, Loos, RJF, Meneton, P, Magnusson, PKE, Nathan, DM, Williams, GH, Hattersley, AT, Silander, K, Salomaa, V, Smith, GD, Bornstein, SR, Schwarz, P, Spranger, J, Karpe, F, Shuldiner, AR, Cooper, C, Dedoussis, GV, Serrano-Ríos, M, Morris, AD, Lind, L, Palmer, LJ, Hu, FB, Franks, PW, Ebrahim, S, Marmot, M, Kao, WHL, Pankow, JS, Sampson, MJ, Kuusisto, J, Laakso, M, Hansen, T, Pedersen, O, Pramstaller, PP, Wichmann, HE, Illig, T, Rudan, I, Wright, AF, Stumvoll, M, Campbell, H, Wilson, JF, Hamsten, A, Bergman, RN, Buchanan, TA, Collins, FS, Mohlke, KL, Tuomilehto, J, Valle, TT, Altshuler, D, Rotter, JI, Siscovick, DS, Penninx, BWJH, Boomsma, DI, Deloukas, P, Spector, TD, Frayling, TM, Ferrucci, L, Kong, A, Thorsteinsdottir, U, Stefansson, K, Van Duijn, CM, Aulchenko, YS, Cao, A, Scuteri, A, Schlessinger, D, Uda, M, Ruokonen, A, Jarvelin, M-R, Waterworth, DM, Vollenweider, P, Peltonen, L, Mooser, V, Abecasis, GR, Wareham, NJ, Sladek, R, Froguel, P, Watanabe, RM, Meigs, JB, Groop, L, Boehnke, M, McCarthy, MI, Florez, JC, and Barroso, I
- Published
- 2010
3. New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk (vol 42, pg 105, 2010)
- Author
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Dupuis, J, Langenberg, C, Prokopenko, I, Saxena, R, Soranzo, N, Jackson, AU, Wheeler, E, Glazer, NL, Bouatia-Naji, N, Gloyn, AL, Lindgren, CM, Maegi, R, Morris, AP, Randall, J, Johnson, T, Elliott, P, Rybin, D, Thorleifsson, G, Steinthorsdottir, V, Henneman, P, Grallert, H, Dehghan, A, Hottenga, JJ, Franklin, CS, Navarro, P, Song, K, Goel, A, Perry, JRB, Egan, JM, Lajunen, T, Grarup, N, Sparso, T, Doney, A, Voight, BF, Stringham, HM, Li, M, Kanoni, S, Shrader, P, Cavalcanti-Proenca, C, Kumari, M, Qi, L, Timpson, NJ, Gieger, C, Zabena, C, Rocheleau, G, Ingelsson, E, An, P, O'Connell, J, Luan, J, Elliott, A, McCarroll, SA, Payne, F, Roccasecca, RM, Pattou, F, Sethupathy, P, Ardlie, K, Ariyurek, Y, Balkau, B, Barter, P, Beilby, JP, Ben-Shlomo, Y, Benediktsson, R, Bennett, AJ, Bergmann, S, Bochud, M, Boerwinkle, E, Bonnefond, A, Bonnycastle, LL, Borch-Johnsen, K, Boettcher, Y, Brunner, E, Bumpstead, SJ, Charpentier, G, Chen, Y-DI, Chines, P, Clarke, R, Coin, LJM, Cooper, MN, Cornelis, M, Crawford, G, Crisponi, L, Day, INM, de Geus, EJC, Delplanque, J, Dina, C, Erdos, MR, Fedson, AC, Fischer-Rosinsky, A, Forouhi, NG, Fox, CS, Frants, R, Franzosi, MG, Galan, P, Goodarzi, MO, Graessler, J, Groves, CJ, Grundy, S, Gwilliam, R, Gyllensten, U, Hadjadj, S, Hallmans, G, Hammond, N, Han, X, Hartikainen, A-L, Hassanali, N, Hayward, C, Heath, SC, Hercberg, S, Herder, C, Hicks, AA, Hillman, DR, Hingorani, AD, Hofman, A, Hui, J, Hung, J, Isomaa, B, Johnson, PRV, Jorgensen, T, Jula, A, Kaakinen, M, Kaprio, J, Kesaniemi, YA, Kivimaki, M, Knight, B, Koskinen, S, Kovacs, P, Kyvik, KO, Lathrop, GM, Lawlor, DA, Le Bacquer, O, Lecoeur, C, Li, Y, Lyssenko, V, Mahley, R, Mangino, M, Manning, AK, Martinez-Larrad, MT, McAteer, JB, McCulloch, LJ, McPherson, R, Meisinger, C, Melzer, D, Meyre, D, Mitchell, BD, Morken, MA, Mukherjee, S, Naitza, S, Narisu, N, Neville, MJ, Oostra, BA, Orru, M, Pakyz, R, Palmer, CNA, Paolisso, G, Pattaro, C, Pearson, D, Peden, JF, Pedersen, NL, Perola, M, Pfeiffer, AFH, Pichler, I, Polasek, O, Posthuma, D, Potter, SC, Pouta, A, Province, MA, Psaty, BM, Rathmann, W, Rayner, NW, Rice, K, Ripatti, S, Rivadeneira, F, Roden, M, Rolandsson, O, Sandbaek, A, Sandhu, M, Sanna, S, Sayer, AA, Scheet, P, Scott, LJ, Seedorf, U, Sharp, SJ, Shields, B, Sigurosson, G, Sijbrands, EJG, Silveira, A, Simpson, L, Singleton, A, Smith, NL, Sovio, U, Swift, A, Syddall, H, Syvaenen, A-C, Tanaka, T, Thorand, B, Tichet, J, Toenjes, A, Tuomi, T, Uitterlinden, AG, van Dijk, KW, van Hoek, M, Varma, D, Visvikis-Siest, S, Vitart, V, Vogelzangs, N, Waeber, G, Wagner, PJ, Walley, A, Walters, GB, Ward, KL, Watkins, H, Weedon, MN, Wild, SH, Willemsen, G, Witteman, JCM, Yarnell, JWG, Zeggini, E, Zelenika, D, Zethelius, B, Zhai, G, Zhao, JH, Zillikens, MC, Borecki, IB, Loos, RJF, Meneton, P, Magnusson, PKE, Nathan, DM, Williams, GH, Hattersley, AT, Silander, K, Salomaa, V, Smith, GD, Bornstein, SR, Schwarz, P, Spranger, J, Karpe, F, Shuldiner, AR, Cooper, C, Dedoussis, GV, Serrano-Rios, M, Morris, AD, Lind, L, Palmer, LJ, Hu, FB, Franks, PW, Ebrahim, S, Marmot, M, Kao, WHL, Pankow, JS, Sampson, MJ, Kuusisto, J, Laakso, M, Hansen, T, Pedersen, O, Pramstaller, PP, Wichmann, HE, Illig, T, Rudan, I, Wright, AF, Stumvoll, M, Campbell, H, Wilson, JF, Hamsten, A, Bergman, RN, Buchanan, TA, Collins, FS, Mohlke, KL, Tuomilehto, J, Valle, TT, Altshuler, D, Rotter, JI, Siscovick, DS, Penninx, BWJH, Boomsma, DI, Deloukas, P, Spector, TD, Frayling, TM, Ferrucci, L, Kong, A, Thorsteinsdottir, U, Stefansson, K, van Duijn, CM, Aulchenko, YS, Cao, A, Scuteri, A, Schlessinger, D, Uda, M, Ruokonen, A, Jarvelin, M-R, Waterworth, DM, Vollenweider, P, Peltonen, L, Mooser, V, Abecasis, GR, Wareham, NJ, Sladek, R, Froguel, P, Watanabe, RM, Meigs, JB, Groop, L, Boehnke, M, McCarthy, MI, Florez, JC, Consortium, DIAGRAM, Consortium, GIANT, Consortium, GB, Consortium, P, and Investigators, IBMAGIC
- Published
- 2010
4. GWAS of random glucose in 476,326 individuals provide insights into diabetes pathophysiology, complications and treatment stratification.
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Lagou V, Jiang L, Ulrich A, Zudina L, González KSG, Balkhiyarova Z, Faggian A, Maina JG, Chen S, Todorov PV, Sharapov S, David A, Marullo L, Mägi R, Rujan RM, Ahlqvist E, Thorleifsson G, Gao Η, Εvangelou Ε, Benyamin B, Scott RA, Isaacs A, Zhao JH, Willems SM, Johnson T, Gieger C, Grallert H, Meisinger C, Müller-Nurasyid M, Strawbridge RJ, Goel A, Rybin D, Albrecht E, Jackson AU, Stringham HM, Corrêa IR Jr, Farber-Eger E, Steinthorsdottir V, Uitterlinden AG, Munroe PB, Brown MJ, Schmidberger J, Holmen O, Thorand B, Hveem K, Wilsgaard T, Mohlke KL, Wang Z, Shmeliov A, den Hoed M, Loos RJF, Kratzer W, Haenle M, Koenig W, Boehm BO, Tan TM, Tomas A, Salem V, Barroso I, Tuomilehto J, Boehnke M, Florez JC, Hamsten A, Watkins H, Njølstad I, Wichmann HE, Caulfield MJ, Khaw KT, van Duijn CM, Hofman A, Wareham NJ, Langenberg C, Whitfield JB, Martin NG, Montgomery G, Scapoli C, Tzoulaki I, Elliott P, Thorsteinsdottir U, Stefansson K, Brittain EL, McCarthy MI, Froguel P, Sexton PM, Wootten D, Groop L, Dupuis J, Meigs JB, Deganutti G, Demirkan A, Pers TH, Reynolds CA, Aulchenko YS, Kaakinen MA, Jones B, and Prokopenko I
- Subjects
- Humans, Genome-Wide Association Study, Blood Glucose genetics, Colon, Glucose, Diabetes Mellitus, Type 2 genetics
- Abstract
Conventional measurements of fasting and postprandial blood glucose levels investigated in genome-wide association studies (GWAS) cannot capture the effects of DNA variability on 'around the clock' glucoregulatory processes. Here we show that GWAS meta-analysis of glucose measurements under nonstandardized conditions (random glucose (RG)) in 476,326 individuals of diverse ancestries and without diabetes enables locus discovery and innovative pathophysiological observations. We discovered 120 RG loci represented by 150 distinct signals, including 13 with sex-dimorphic effects, two cross-ancestry and seven rare frequency signals. Of these, 44 loci are new for glycemic traits. Regulatory, glycosylation and metagenomic annotations highlight ileum and colon tissues, indicating an underappreciated role of the gastrointestinal tract in controlling blood glucose. Functional follow-up and molecular dynamics simulations of lower frequency coding variants in glucagon-like peptide-1 receptor (GLP1R), a type 2 diabetes treatment target, reveal that optimal selection of GLP-1R agonist therapy will benefit from tailored genetic stratification. We also provide evidence from Mendelian randomization that lung function is modulated by blood glucose and that pulmonary dysfunction is a diabetes complication. Our investigation yields new insights into the biology of glucose regulation, diabetes complications and pathways for treatment stratification., (© 2023. The Author(s).)
- Published
- 2023
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5. The trans-ancestral genomic architecture of glycemic traits.
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Chen J, Spracklen CN, Marenne G, Varshney A, Corbin LJ, Luan J, Willems SM, Wu Y, Zhang X, Horikoshi M, Boutin TS, Mägi R, Waage J, Li-Gao R, Chan KHK, Yao J, Anasanti MD, Chu AY, Claringbould A, Heikkinen J, Hong J, Hottenga JJ, Huo S, Kaakinen MA, Louie T, März 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 LC, Chen CH, Chen BH, Chitrala KN, Chiu YF, de Haan HG, Delgado GE, Demirkan A, Duan Q, Engmann J, Fatumo SA, Gayán 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, Sparsø 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 JH, Zhao W, Amin N, Arzumanyan Z, Astrup A, Bakker SJL, Baldassarre D, Beekman M, Bergman RN, Bertoni A, Blüher 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, Frånberg M, Fuchsberger C, Gao Y, Gjesing AP, Goel A, Han S, Hartman CA, Herder C, Hicks AA, Hsieh CH, Hsueh WA, Ichihara S, Igase M, Ikram MA, Johnson WC, Jørgensen ME, Joshi PK, Kalyani RR, Kandeel FR, Katsuya T, Khor CC, Kiess W, Kolcic I, Kuulasmaa T, Kuusisto J, Läll K, Lam K, Lawlor DA, Lee NR, Lemaitre RN, Li H, Lin SY, Lindström J, Linneberg A, Liu J, 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, Schürmann 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, Alarcón-Riquelme ME, An P, Aviles-Santa L, Becker DM, Beilin LJ, Bergmann S, Bisgaard H, Black C, Boehnke M, Boerwinkle E, Böhm BO, Bønnelykke K, Boomsma DI, Bottinger EP, Buchanan TA, Canouil M, Caulfield MJ, Chambers JC, Chasman DI, Chen YI, Cheng CY, Collins FS, Correa A, Cucca F, de Silva HJ, Dedoussis G, Elmståhl 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 MR, Jonas JB, Jukema JW, Kaleebu P, Kaplan R, Kardia SLR, Kato N, Keinanen-Kiukaanniemi SM, Kim BJ, Kivimaki M, Koistinen HA, Kooner JS, Körner A, Kovacs P, Kuh D, Kumari M, Kutalik Z, Laakso M, Lakka TA, Launer LJ, Leander K, Li H, Lin X, Lind L, Lindgren C, Liu S, Loos RJF, Magnusson PKE, Mahajan A, Metspalu A, Mook-Kanamori DO, Mori TA, Munroe PB, Njølstad 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 XO, Slagboom PE, Small KS, Smith BH, Snieder H, Sofer T, Sørensen TIA, Spector TD, Stanton A, Steves CJ, Stumvoll M, Sun L, Tabara Y, Tai ES, Timpson NJ, Tönjes 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 TY, Wu JY, 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 CT, Parker SCJ, Mohlke KL, Langenberg C, Wheeler E, Morris AP, and Barroso I
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- Alleles, Epigenesis, Genetic, Gene Expression Profiling, Genome, Human, Genome-Wide Association Study, Glycated Hemoglobin metabolism, Humans, Multifactorial Inheritance genetics, Physical Chromosome Mapping, Quantitative Trait Loci genetics, Blood Glucose genetics, Quantitative Trait, Heritable, White People genetics
- Abstract
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.- Published
- 2021
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6. Genetic fine mapping and genomic annotation defines causal mechanisms at type 2 diabetes susceptibility loci.
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Gaulton KJ, Ferreira T, Lee Y, Raimondo A, Mägi R, Reschen ME, Mahajan A, Locke A, Rayner NW, Robertson N, Scott RA, Prokopenko I, Scott LJ, Green T, Sparso T, Thuillier D, Yengo L, Grallert H, Wahl S, Frånberg M, Strawbridge RJ, Kestler H, Chheda H, Eisele L, Gustafsson S, Steinthorsdottir V, Thorleifsson G, Qi L, Karssen LC, van Leeuwen EM, Willems SM, Li M, Chen H, Fuchsberger C, Kwan P, Ma C, Linderman M, Lu Y, Thomsen SK, Rundle JK, Beer NL, van de Bunt M, Chalisey A, Kang HM, Voight BF, Abecasis GR, Almgren P, Baldassarre D, Balkau B, Benediktsson R, Blüher M, Boeing H, Bonnycastle LL, Bottinger EP, Burtt NP, Carey J, Charpentier G, Chines PS, Cornelis MC, Couper DJ, Crenshaw AT, van Dam RM, Doney AS, Dorkhan M, Edkins S, Eriksson JG, Esko T, Eury E, Fadista J, Flannick J, Fontanillas P, Fox C, Franks PW, Gertow K, Gieger C, Gigante B, Gottesman O, Grant GB, Grarup N, Groves CJ, Hassinen M, Have CT, Herder C, Holmen OL, Hreidarsson AB, Humphries SE, Hunter DJ, Jackson AU, Jonsson A, Jørgensen ME, Jørgensen T, Kao WH, Kerrison ND, Kinnunen L, Klopp N, Kong A, Kovacs P, Kraft P, Kravic J, Langford C, Leander K, Liang L, Lichtner P, Lindgren CM, Lindholm E, Linneberg A, Liu CT, Lobbens S, Luan J, Lyssenko V, Männistö S, McLeod O, Meyer J, Mihailov E, Mirza G, Mühleisen TW, Müller-Nurasyid M, Navarro C, Nöthen MM, Oskolkov NN, Owen KR, Palli D, Pechlivanis S, Peltonen L, Perry JR, Platou CG, Roden M, Ruderfer D, Rybin D, van der Schouw YT, Sennblad B, Sigurðsson G, Stančáková A, Steinbach G, Storm P, Strauch K, Stringham HM, Sun Q, Thorand B, Tikkanen E, Tonjes A, Trakalo J, Tremoli E, Tuomi T, Wennauer R, Wiltshire S, Wood AR, Zeggini E, Dunham I, Birney E, Pasquali L, Ferrer J, Loos RJ, Dupuis J, Florez JC, Boerwinkle E, Pankow JS, van Duijn C, Sijbrands E, Meigs JB, Hu FB, Thorsteinsdottir U, Stefansson K, Lakka TA, Rauramaa R, Stumvoll M, Pedersen NL, Lind L, Keinanen-Kiukaanniemi SM, Korpi-Hyövälti E, Saaristo TE, Saltevo J, Kuusisto J, Laakso M, Metspalu A, Erbel R, Jöcke KH, Moebus S, Ripatti S, Salomaa V, Ingelsson E, Boehm BO, Bergman RN, Collins FS, Mohlke KL, Koistinen H, Tuomilehto J, Hveem K, Njølstad I, Deloukas P, Donnelly PJ, Frayling TM, Hattersley AT, de Faire U, Hamsten A, Illig T, Peters A, Cauchi S, Sladek R, Froguel P, Hansen T, Pedersen O, Morris AD, Palmer CN, Kathiresan S, Melander O, Nilsson PM, Groop LC, Barroso I, Langenberg C, Wareham NJ, O'Callaghan CA, Gloyn AL, Altshuler D, Boehnke M, Teslovich TM, McCarthy MI, and Morris AP
- Subjects
- Binding Sites, Case-Control Studies, Chromatin Immunoprecipitation, Gene Expression Regulation, Genome-Wide Association Study, Genomics, Hepatocyte Nuclear Factor 3-beta metabolism, Humans, Islets of Langerhans metabolism, Islets of Langerhans pathology, Liver metabolism, Liver pathology, Molecular Sequence Annotation, Receptor, Melatonin, MT2 metabolism, Chromosome Mapping, Diabetes Mellitus, Type 2 genetics, Genetic Loci, Genetic Predisposition to Disease, Hepatocyte Nuclear Factor 3-beta genetics, Polymorphism, Single Nucleotide genetics, Receptor, Melatonin, MT2 genetics
- Abstract
We performed fine mapping of 39 established type 2 diabetes (T2D) loci in 27,206 cases and 57,574 controls of European ancestry. We identified 49 distinct association signals at these loci, including five mapping in or near KCNQ1. 'Credible sets' of the variants most likely to drive each distinct signal mapped predominantly to noncoding sequence, implying that association with T2D is mediated through gene regulation. Credible set variants were enriched for overlap with FOXA2 chromatin immunoprecipitation binding sites in human islet and liver cells, including at MTNR1B, where fine mapping implicated rs10830963 as driving T2D association. We confirmed that the T2D risk allele for this SNP increases FOXA2-bound enhancer activity in islet- and liver-derived cells. We observed allele-specific differences in NEUROD1 binding in islet-derived cells, consistent with evidence that the T2D risk allele increases islet MTNR1B expression. Our study demonstrates how integration of genetic and genomic information can define molecular mechanisms through which variants underlying association signals exert their effects on disease.
- Published
- 2015
- Full Text
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7. Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility.
- Author
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Mahajan A, Go MJ, Zhang W, Below JE, Gaulton KJ, Ferreira T, Horikoshi M, Johnson AD, Ng MC, Prokopenko I, Saleheen D, Wang X, Zeggini E, Abecasis GR, Adair LS, Almgren P, Atalay M, Aung T, Baldassarre D, Balkau B, Bao Y, Barnett AH, Barroso I, Basit A, Been LF, Beilby J, Bell GI, Benediktsson R, Bergman RN, Boehm BO, Boerwinkle E, Bonnycastle LL, Burtt N, Cai Q, Campbell H, Carey J, Cauchi S, Caulfield M, Chan JC, Chang LC, Chang TJ, Chang YC, Charpentier G, Chen CH, Chen H, Chen YT, Chia KS, Chidambaram M, Chines PS, Cho NH, Cho YM, Chuang LM, Collins FS, Cornelis MC, Couper DJ, Crenshaw AT, van Dam RM, Danesh J, Das D, de Faire U, Dedoussis G, Deloukas P, Dimas AS, Dina C, Doney AS, Donnelly PJ, Dorkhan M, van Duijn C, Dupuis J, Edkins S, Elliott P, Emilsson V, Erbel R, Eriksson JG, Escobedo J, Esko T, Eury E, Florez JC, Fontanillas P, Forouhi NG, Forsen T, Fox C, Fraser RM, Frayling TM, Froguel P, Frossard P, Gao Y, Gertow K, Gieger C, Gigante B, Grallert H, Grant GB, Grrop LC, Groves CJ, Grundberg E, Guiducci C, Hamsten A, Han BG, Hara K, Hassanali N, Hattersley AT, Hayward C, Hedman AK, Herder C, Hofman A, Holmen OL, Hovingh K, Hreidarsson AB, Hu C, Hu FB, Hui J, Humphries SE, Hunt SE, Hunter DJ, Hveem K, Hydrie ZI, Ikegami H, Illig T, Ingelsson E, Islam M, Isomaa B, Jackson AU, Jafar T, James A, Jia W, Jöckel KH, Jonsson A, Jowett JB, Kadowaki T, Kang HM, Kanoni S, Kao WH, Kathiresan S, Kato N, Katulanda P, Keinanen-Kiukaanniemi KM, Kelly AM, Khan H, Khaw KT, Khor CC, Kim HL, Kim S, Kim YJ, Kinnunen L, Klopp N, Kong A, Korpi-Hyövälti E, Kowlessur S, Kraft P, Kravic J, Kristensen MM, Krithika S, Kumar A, Kumate J, Kuusisto J, Kwak SH, Laakso M, Lagou V, Lakka TA, Langenberg C, Langford C, Lawrence R, Leander K, Lee JM, Lee NR, Li M, Li X, Li Y, Liang J, Liju S, Lim WY, Lind L, Lindgren CM, Lindholm E, Liu CT, Liu JJ, Lobbens S, Long J, Loos RJ, Lu W, Luan J, Lyssenko V, Ma RC, Maeda S, Mägi R, Männisto S, Matthews DR, Meigs JB, Melander O, Metspalu A, Meyer J, Mirza G, Mihailov E, Moebus S, Mohan V, Mohlke KL, Morris AD, Mühleisen TW, Müller-Nurasyid M, Musk B, Nakamura J, Nakashima E, Navarro P, Ng PK, Nica AC, Nilsson PM, Njølstad I, Nöthen MM, Ohnaka K, Ong TH, Owen KR, Palmer CN, Pankow JS, Park KS, Parkin M, Pechlivanis S, Pedersen NL, Peltonen L, Perry JR, Peters A, Pinidiyapathirage JM, Platou CG, Potter S, Price JF, Qi L, Radha V, Rallidis L, Rasheed A, Rathman W, Rauramaa R, Raychaudhuri S, Rayner NW, Rees SD, Rehnberg E, Ripatti S, Robertson N, Roden M, Rossin EJ, Rudan I, Rybin D, Saaristo TE, Salomaa V, Saltevo J, Samuel M, Sanghera DK, Saramies J, Scott J, Scott LJ, Scott RA, Segrè AV, Sehmi J, Sennblad B, Shah N, Shah S, Shera AS, Shu XO, Shuldiner AR, Sigurđsson G, Sijbrands E, Silveira A, Sim X, Sivapalaratnam S, Small KS, So WY, Stančáková A, Stefansson K, Steinbach G, Steinthorsdottir V, Stirrups K, Strawbridge RJ, Stringham HM, Sun Q, Suo C, Syvänen AC, Takayanagi R, Takeuchi F, Tay WT, Teslovich TM, Thorand B, Thorleifsson G, Thorsteinsdottir U, Tikkanen E, Trakalo J, Tremoli E, Trip MD, Tsai FJ, Tuomi T, Tuomilehto J, Uitterlinden AG, Valladares-Salgado A, Vedantam S, Veglia F, Voight BF, Wang C, Wareham NJ, Wennauer R, Wickremasinghe AR, Wilsgaard T, Wilson JF, Wiltshire S, Winckler W, Wong TY, Wood AR, Wu JY, Wu Y, Yamamoto K, Yamauchi T, Yang M, Yengo L, Yokota M, Young R, Zabaneh D, Zhang F, Zhang R, Zheng W, Zimmet PZ, Altshuler D, Bowden DW, Cho YS, Cox NJ, Cruz M, Hanis CL, Kooner J, Lee JY, Seielstad M, Teo YY, Boehnke M, Parra EJ, Chambers JC, Tai ES, McCarthy MI, and Morris AP
- Subjects
- Alleles, Asian People genetics, Case-Control Studies, Genetic Predisposition to Disease, Genome-Wide Association Study, Hispanic or Latino genetics, Humans, Polymorphism, Single Nucleotide, Risk Factors, White People genetics, Diabetes Mellitus, Type 2 genetics
- Abstract
To further understanding of the genetic basis of type 2 diabetes (T2D) susceptibility, we aggregated published meta-analyses of genome-wide association studies (GWAS), including 26,488 cases and 83,964 controls of European, east Asian, south Asian and Mexican and Mexican American ancestry. We observed a significant excess in the directional consistency of T2D risk alleles across ancestry groups, even at SNPs demonstrating only weak evidence of association. By following up the strongest signals of association from the trans-ethnic meta-analysis in an additional 21,491 cases and 55,647 controls of European ancestry, we identified seven new T2D susceptibility loci. Furthermore, we observed considerable improvements in the fine-mapping resolution of common variant association signals at several T2D susceptibility loci. These observations highlight the benefits of trans-ethnic GWAS for the discovery and characterization of complex trait loci and emphasize an exciting opportunity to extend insight into the genetic architecture and pathogenesis of human diseases across populations of diverse ancestry.
- Published
- 2014
- Full Text
- View/download PDF
8. Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways.
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Scott RA, Lagou V, Welch RP, Wheeler E, Montasser ME, Luan J, Mägi R, Strawbridge RJ, Rehnberg E, Gustafsson S, Kanoni S, Rasmussen-Torvik LJ, Yengo L, Lecoeur C, Shungin D, Sanna S, Sidore C, Johnson PC, Jukema JW, Johnson T, Mahajan A, Verweij N, Thorleifsson G, Hottenga JJ, Shah S, Smith AV, Sennblad B, Gieger C, Salo P, Perola M, Timpson NJ, Evans DM, Pourcain BS, Wu Y, Andrews JS, Hui J, Bielak LF, Zhao W, Horikoshi M, Navarro P, Isaacs A, O'Connell JR, Stirrups K, Vitart V, Hayward C, Esko T, Mihailov E, Fraser RM, Fall T, Voight BF, Raychaudhuri S, Chen H, Lindgren CM, Morris AP, Rayner NW, Robertson N, Rybin D, Liu CT, Beckmann JS, Willems SM, Chines PS, Jackson AU, Kang HM, Stringham HM, Song K, Tanaka T, Peden JF, Goel A, Hicks AA, An P, Müller-Nurasyid M, Franco-Cereceda A, Folkersen L, Marullo L, Jansen H, Oldehinkel AJ, Bruinenberg M, Pankow JS, North KE, Forouhi NG, Loos RJ, Edkins S, Varga TV, Hallmans G, Oksa H, Antonella M, Nagaraja R, Trompet S, Ford I, Bakker SJ, Kong A, Kumari M, Gigante B, Herder C, Munroe PB, Caulfield M, Antti J, Mangino M, Small K, Miljkovic I, Liu Y, Atalay M, Kiess W, James AL, Rivadeneira F, Uitterlinden AG, Palmer CN, Doney AS, Willemsen G, Smit JH, Campbell S, Polasek O, Bonnycastle LL, Hercberg S, Dimitriou M, Bolton JL, Fowkes GR, Kovacs P, Lindström J, Zemunik T, Bandinelli S, Wild SH, Basart HV, Rathmann W, Grallert H, Maerz W, Kleber ME, Boehm BO, Peters A, Pramstaller PP, Province MA, Borecki IB, Hastie ND, Rudan I, Campbell H, Watkins H, Farrall M, Stumvoll M, Ferrucci L, Waterworth DM, Bergman RN, Collins FS, Tuomilehto J, Watanabe RM, de Geus EJ, Penninx BW, Hofman A, Oostra BA, Psaty BM, Vollenweider P, Wilson JF, Wright AF, Hovingh GK, Metspalu A, Uusitupa M, Magnusson PK, Kyvik KO, Kaprio J, Price JF, Dedoussis GV, Deloukas P, Meneton P, Lind L, Boehnke M, Shuldiner AR, van Duijn CM, Morris AD, Toenjes A, Peyser PA, Beilby JP, Körner A, Kuusisto J, Laakso M, Bornstein SR, Schwarz PE, Lakka TA, Rauramaa R, Adair LS, Smith GD, Spector TD, Illig T, de Faire U, Hamsten A, Gudnason V, Kivimaki M, Hingorani A, Keinanen-Kiukaanniemi SM, Saaristo TE, Boomsma DI, Stefansson K, van der Harst P, Dupuis J, Pedersen NL, Sattar N, Harris TB, Cucca F, Ripatti S, Salomaa V, Mohlke KL, Balkau B, Froguel P, Pouta A, Jarvelin MR, Wareham NJ, Bouatia-Naji N, McCarthy MI, Franks PW, Meigs JB, Teslovich TM, Florez JC, Langenberg C, Ingelsson E, Prokopenko I, and Barroso I
- Subjects
- Adult, Animals, Blood Glucose metabolism, Fasting blood, Fasting metabolism, Female, Gene Frequency, Humans, Insulin blood, Male, Mice, Osmolar Concentration, Blood Glucose genetics, Genome-Wide Association Study statistics & numerical data, Metabolic Networks and Pathways genetics, Quantitative Trait Loci physiology
- Abstract
Through genome-wide association meta-analyses of up to 133,010 individuals of European ancestry without diabetes, including individuals newly genotyped using the Metabochip, we have increased the number of confirmed loci influencing glycemic traits to 53, of which 33 also increase type 2 diabetes risk (q < 0.05). Loci influencing fasting insulin concentration showed association with lipid levels and fat distribution, suggesting impact on insulin resistance. Gene-based analyses identified further biologically plausible loci, suggesting that additional loci beyond those reaching genome-wide significance are likely to represent real associations. This conclusion is supported by an excess of directionally consistent and nominally significant signals between discovery and follow-up studies. Functional analysis of these newly discovered loci will further improve our understanding of glycemic control.
- Published
- 2012
- Full Text
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9. Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes.
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Morris AP, Voight BF, Teslovich TM, Ferreira T, Segrè AV, Steinthorsdottir V, Strawbridge RJ, Khan H, Grallert H, Mahajan A, Prokopenko I, Kang HM, Dina C, Esko T, Fraser RM, Kanoni S, Kumar A, Lagou V, Langenberg C, Luan J, Lindgren CM, Müller-Nurasyid M, Pechlivanis S, Rayner NW, Scott LJ, Wiltshire S, Yengo L, Kinnunen L, Rossin EJ, Raychaudhuri S, Johnson AD, Dimas AS, Loos RJ, Vedantam S, Chen H, Florez JC, Fox C, Liu CT, Rybin D, Couper DJ, Kao WH, Li M, Cornelis MC, Kraft P, Sun Q, van Dam RM, Stringham HM, Chines PS, Fischer K, Fontanillas P, Holmen OL, Hunt SE, Jackson AU, Kong A, Lawrence R, Meyer J, Perry JR, Platou CG, Potter S, Rehnberg E, Robertson N, Sivapalaratnam S, Stančáková A, Stirrups K, Thorleifsson G, Tikkanen E, Wood AR, Almgren P, Atalay M, Benediktsson R, Bonnycastle LL, Burtt N, Carey J, Charpentier G, Crenshaw AT, Doney AS, Dorkhan M, Edkins S, Emilsson V, Eury E, Forsen T, Gertow K, Gigante B, Grant GB, Groves CJ, Guiducci C, Herder C, Hreidarsson AB, Hui J, James A, Jonsson A, Rathmann W, Klopp N, Kravic J, Krjutškov K, Langford C, Leander K, Lindholm E, Lobbens S, Männistö S, Mirza G, Mühleisen TW, Musk B, Parkin M, Rallidis L, Saramies J, Sennblad B, Shah S, Sigurðsson G, Silveira A, Steinbach G, Thorand B, Trakalo J, Veglia F, Wennauer R, Winckler W, Zabaneh D, Campbell H, van Duijn C, Uitterlinden AG, Hofman A, Sijbrands E, Abecasis GR, Owen KR, Zeggini E, Trip MD, Forouhi NG, Syvänen AC, Eriksson JG, Peltonen L, Nöthen MM, Balkau B, Palmer CN, Lyssenko V, Tuomi T, Isomaa B, Hunter DJ, Qi L, Shuldiner AR, Roden M, Barroso I, Wilsgaard T, Beilby J, Hovingh K, Price JF, Wilson JF, Rauramaa R, Lakka TA, Lind L, Dedoussis G, Njølstad I, Pedersen NL, Khaw KT, Wareham NJ, Keinanen-Kiukaanniemi SM, Saaristo TE, Korpi-Hyövälti E, Saltevo J, Laakso M, Kuusisto J, Metspalu A, Collins FS, Mohlke KL, Bergman RN, Tuomilehto J, Boehm BO, Gieger C, Hveem K, Cauchi S, Froguel P, Baldassarre D, Tremoli E, Humphries SE, Saleheen D, Danesh J, Ingelsson E, Ripatti S, Salomaa V, Erbel R, Jöckel KH, Moebus S, Peters A, Illig T, de Faire U, Hamsten A, Morris AD, Donnelly PJ, Frayling TM, Hattersley AT, Boerwinkle E, Melander O, Kathiresan S, Nilsson PM, Deloukas P, Thorsteinsdottir U, Groop LC, Stefansson K, Hu F, Pankow JS, Dupuis J, Meigs JB, Altshuler D, Boehnke M, and McCarthy MI
- Subjects
- Case-Control Studies, Diabetes Mellitus, Type 2 epidemiology, Female, Genes physiology, Humans, Linkage Disequilibrium, Male, Pakistan epidemiology, Polymorphism, Single Nucleotide physiology, Sex Factors, Diabetes Mellitus, Type 2 genetics, Genetic Predisposition to Disease genetics, Genome-Wide Association Study statistics & numerical data
- Abstract
To extend understanding of the genetic architecture and molecular basis of type 2 diabetes (T2D), we conducted a meta-analysis of genetic variants on the Metabochip, including 34,840 cases and 114,981 controls, overwhelmingly of European descent. We identified ten previously unreported T2D susceptibility loci, including two showing sex-differentiated association. Genome-wide analyses of these data are consistent with a long tail of additional common variant loci explaining much of the variation in susceptibility to T2D. Exploration of the enlarged set of susceptibility loci implicates several processes, including CREBBP-related transcription, adipocytokine signaling and cell cycle regulation, in diabetes pathogenesis.
- Published
- 2012
- Full Text
- View/download PDF
10. Genetic variation in GIPR influences the glucose and insulin responses to an oral glucose challenge.
- Author
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Saxena R, Hivert MF, Langenberg C, Tanaka T, Pankow JS, Vollenweider P, Lyssenko V, Bouatia-Naji N, Dupuis J, Jackson AU, Kao WH, Li M, Glazer NL, Manning AK, Luan J, Stringham HM, Prokopenko I, Johnson T, Grarup N, Boesgaard TW, Lecoeur C, Shrader P, O'Connell J, Ingelsson E, Couper DJ, Rice K, Song K, Andreasen CH, Dina C, Köttgen A, Le Bacquer O, Pattou F, Taneera J, Steinthorsdottir V, Rybin D, Ardlie K, Sampson M, Qi L, van Hoek M, Weedon MN, Aulchenko YS, Voight BF, Grallert H, Balkau B, Bergman RN, Bielinski SJ, Bonnefond A, Bonnycastle LL, Borch-Johnsen K, Böttcher Y, Brunner E, Buchanan TA, Bumpstead SJ, Cavalcanti-Proença C, Charpentier G, Chen YD, Chines PS, Collins FS, Cornelis M, J Crawford G, Delplanque J, Doney A, Egan JM, Erdos MR, Firmann M, Forouhi NG, Fox CS, Goodarzi MO, Graessler J, Hingorani A, Isomaa B, Jørgensen T, Kivimaki M, Kovacs P, Krohn K, Kumari M, Lauritzen T, Lévy-Marchal C, Mayor V, McAteer JB, Meyre D, Mitchell BD, Mohlke KL, Morken MA, Narisu N, Palmer CN, Pakyz R, Pascoe L, Payne F, Pearson D, Rathmann W, Sandbaek A, Sayer AA, Scott LJ, Sharp SJ, Sijbrands E, Singleton A, Siscovick DS, Smith NL, Sparsø T, Swift AJ, Syddall H, Thorleifsson G, Tönjes A, Tuomi T, Tuomilehto J, Valle TT, Waeber G, Walley A, Waterworth DM, Zeggini E, Zhao JH, Illig T, Wichmann HE, Wilson JF, van Duijn C, Hu FB, Morris AD, Frayling TM, Hattersley AT, Thorsteinsdottir U, Stefansson K, Nilsson P, Syvänen AC, Shuldiner AR, Walker M, Bornstein SR, Schwarz P, Williams GH, Nathan DM, Kuusisto J, Laakso M, Cooper C, Marmot M, Ferrucci L, Mooser V, Stumvoll M, Loos RJ, Altshuler D, Psaty BM, Rotter JI, Boerwinkle E, Hansen T, Pedersen O, Florez JC, McCarthy MI, Boehnke M, Barroso I, Sladek R, Froguel P, Meigs JB, Groop L, Wareham NJ, and Watanabe RM
- Subjects
- Adenylyl Cyclases genetics, Body Mass Index, Denmark, Diabetes Mellitus, Type 2 genetics, Female, Gene Expression Profiling, Gene Expression Regulation, Genetic Loci genetics, Genome-Wide Association Study, Glucose Tolerance Test, Humans, Incretins genetics, Male, Meta-Analysis as Topic, Polymorphism, Single Nucleotide genetics, Proteins genetics, RNA, Messenger genetics, RNA, Messenger metabolism, Receptors, Gastrointestinal Hormone metabolism, Genetic Variation, Glucose metabolism, Insulin metabolism, Receptors, Gastrointestinal Hormone genetics
- Abstract
Glucose levels 2 h after an oral glucose challenge are a clinical measure of glucose tolerance used in the diagnosis of type 2 diabetes. We report a meta-analysis of nine genome-wide association studies (n = 15,234 nondiabetic individuals) and a follow-up of 29 independent loci (n = 6,958-30,620). We identify variants at the GIPR locus associated with 2-h glucose level (rs10423928, beta (s.e.m.) = 0.09 (0.01) mmol/l per A allele, P = 2.0 x 10(-15)). The GIPR A-allele carriers also showed decreased insulin secretion (n = 22,492; insulinogenic index, P = 1.0 x 10(-17); ratio of insulin to glucose area under the curve, P = 1.3 x 10(-16)) and diminished incretin effect (n = 804; P = 4.3 x 10(-4)). We also identified variants at ADCY5 (rs2877716, P = 4.2 x 10(-16)), VPS13C (rs17271305, P = 4.1 x 10(-8)), GCKR (rs1260326, P = 7.1 x 10(-11)) and TCF7L2 (rs7903146, P = 4.2 x 10(-10)) associated with 2-h glucose. Of the three newly implicated loci (GIPR, ADCY5 and VPS13C), only ADCY5 was found to be associated with type 2 diabetes in collaborating studies (n = 35,869 cases, 89,798 controls, OR = 1.12, 95% CI 1.09-1.15, P = 4.8 x 10(-18)).
- Published
- 2010
- Full Text
- View/download PDF
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