Open Research Exeter (ORE) will be unavailable from 8am - 9am Tuesday 1st September 2015 for essential maintenance. Apologies in advance for the inconvenience. Exeter IT

Now showing items 1-20 of 21

  • Allelic heterogeneity and more detailed analyses of known loci explain additional phenotypic variation and reveal complex patterns of association. 

    Wood, Andrew R.; Hernandez, DG; Nalls, MA; Yaghootkar, H; Gibbs, JR; Harries, LW; Chong, S; Moore, M; Weedon, Michael N.; Guralnik, JM; Bandinelli, S; Murray, A; Ferrucci, L; Singleton, AB; Melzer, D; Frayling, Timothy M. (Oxford University Press, 2011-10-15)
    The identification of multiple signals at individual loci could explain additional phenotypic variance ('missing heritability') of common traits, and help identify causal genes. We examined gene expression levels as a model ...
  • Association analysis of 29,956 individuals confirms that a low-frequency variant at CCND2 halves the risk of type 2 diabetes by enhancing insulin secretion. 

    Yaghootkar, H; Stancáková, A; Freathy, RM; Vangipurapu, J; Weedon, Michael N.; Xie, W; Wood, AR; Ferrannini, E; Mari, A; Ring, SM; Lawlor, DA; Davey Smith, G; Jørgensen, T; Hansen, T; Pedersen, O; Steinthorsdottir, V; Guðbjartsson, DF; Thorleifsson, G; Thorsteinsdottir, U; Stefansson, K; Hattersley, Andrew T.; Walker, Mark; Morris, AD; McCarthy, Mark I.; Palmer, CN; Laakso, M; Frayling, Timothy M. (American Diabetes Association, 2015-06)
    A recent study identified a low-frequency variant at CCND2 associated with lower risk of type 2 diabetes, enhanced insulin response to a glucose challenge, higher height, and, paradoxically, higher BMI. We aimed to replicate ...
  • Causal relationship between obesity and vitamin D status: bi-directional Mendelian randomization analysis of multiple cohorts 

    Vimaleswaran, KS; Berry, DJ; Lu, C; Tikkanen, E; Pilz, S; Hiraki, LT; Cooper, JD; Dastani, Z; Li, R; Houston, DK; Wood, Andrew R.; Michaëlsson, K; Vandenput, L; Zgaga, L; Yerges-Armstrong, LM; McCarthy, MI; Dupuis, J; Kaakinen, M; Kleber, ME; Jameson, K; Arden, N; Raitakari, O; Viikari, J; Lohman, KK; Ferrucci, L; Melhus, H; Ingelsson, E; Byberg, L; Lind, L; Lorentzon, M; Salomaa, V; Campbell, H; Dunlop, M; Mitchell, BD; Herzig, KH; Pouta, A; Hartikainen, AL; Genetic Investigation of Anthropometric Traits-GIANT Consortium; Streeten, EA; Theodoratou, E; Jula, A; Wareham, NJ; Ohlsson, C; Frayling, Timothy M.; Kritchevsky, SB; Spector, TD; Richards, JB; Lehtimäki, T; Ouwehand, WH; Kraft, P; Cooper, C; März, W; Power, C; Loos, RJ; Wang, TJ; Järvelin, MR; Whittaker, JC; Hingorani, AD; Hyppönen, E (Public Library of Science, 2013)
    Obesity is associated with vitamin D deficiency, and both are areas of active public health concern. We explored the causality and direction of the relationship between body mass index (BMI) and 25-hydroxyvitamin D [25(OH)D] ...
  • Common lipid-altering gene variants are associated with therapeutic intervention thresholds of lipid levels in older people 

    Murray, A; Cluett, C; Bandinelli, S; Corsi, AM; Ferrucci, L; Guralnik, J; Singleton, A; Frayling, Timothy M.; Melzer, D (Oxford University Press, 2009-07)
    AIMS: There are a large number of common genetic variants that have been robustly associated with low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, or triglyceride concentrations. The ...
  • Differences in smoking associated DNA methylation patterns in South Asians and Europeans 

    Elliott, HR; Tillin, T; McArdle, WL; Ho, K; Duggirala, A; Frayling, Timothy M.; Smith, GD; Hughes, AD; Chaturvedi, N; Relton, CL (BioMed Central, 2014-02-03)
    Background DNA methylation is strongly associated with smoking status at multiple sites across the genome. Studies have largely been restricted to European origin individuals yet the greatest increase in smoking is occurring ...
  • Evidence for linkage of stature to chromosome 3p26 in a large U.K. family data set ascertained for type 2 diabetes. 

    Wiltshire, Steven; Frayling, Timothy M.; Hattersley, Andrew T.; Hitman, Graham A.; Walker, Mark; Levy, Jonathan C.; O'Rahilly, Stephen; Groves, Christopher J.; Menzel, Stephan; Cardon, Lon R.; McCarthy, Mark I. (The American Society of Human Genetics, 2002-02)
    We have analyzed data from 573 pedigrees from the United Kingdom for evidence for linkage to loci influencing adult stature. Our data set comprised 1,214 diabetic and 163 nondiabetic siblings for whom height data were ...
  • Genetic studies of body mass index yield new insights for obesity biology 

    Locke, Adam E.; Kahali, Bratati; Berndt, Sonja I.; Justice, Anne E.; Pers, Tune H.; Day, Felix R.; Powell, Corey; Vedantam, S; Buchkovich, ML; Yang, J; Croteau-Chonka, DC; Esko, T; Fall, T; Ferreira, T; Gustafsson, S; Kutalik, Z; Luan, J; Mägi, R; Randall, JC; Winkler, TW; Wood, Andrew R.; Workalemahu, T; Faul, JD; Smith, JA; Hua Zhao, J; Zhao, W; Chen, J; Fehrmann, R; Hedman, ÅK; Karjalainen, J; Schmidt, EM; Absher, D; Amin, N; Anderson, D; Beekman, M; Bolton, JL; Bragg-Gresham, JL; Buyske, S; Demirkan, A; Deng, G; Ehret, GB; Feenstra, B; Feitosa, MF; Fischer, K; Goel, A; Gong, J; Jackson, AU; Kanoni, S; Kleber, ME; Kristiansson, K; Lim, U; Lotay, V; Mangino, M; Mateo Leach, I; Medina-Gomez, C; Medland, SE; Nalls, MA; Palmer, CD; Pasko, Dorota; Pechlivanis, S; Peters, MJ; Prokopenko, I; Shungin, D; Stančáková, A; Strawbridge, RJ; Ju Sung, Y; Tanaka, T; Teumer, A; Trompet, S; van der Laan, SW; van Setten, J; Van Vliet-Ostaptchouk, JV; Wang, Z; Yengo, L; Zhang, W; Isaacs, A; Albrecht, E; Ärnlöv, J; Arscott, GM; Attwood, AP; Bandinelli, S; Barrett, Amy; Bas, IN; Bellis, C; Bennett, Amanda; Berne, C; Blagieva, R; Blüher, M; Böhringer, S; Bonnycastle, Lori; Böttcher, Y; Boyd, HA; Bruinenberg, M; Caspersen, IH; Ida Chen, YD; Clarke, R; Daw, EW; de Craen, AJ; Delgado, G; Dimitriou, M; Doney, AS; Eklund, N; Estrada, K; Eury, E; Folkersen, L; Fraser, RM; Garcia, ME; Geller, F; Giedraitis, V; Gigante, B; Go, AS; Golay, A; Goodall, AH; Gordon, SD; Gorski, M; Grabe, HJ; Grallert, H; Grammer, TB; Gräßler, J; Grönberg, H; Groves, CJ; Gusto, G; Haessler, J; Hall, P; Haller, T; Hallmans, G; Hartman, CA; Hassinen, M; Hayward, C; Heard-Costa, NL; Helmer, Q; Hengstenberg, C; Holmen, O; Hottenga, JJ; James, AL; Jeff, JM; Johansson, Å; Jolley, J; Juliusdottir, T; Kinnunen, L; Koenig, W; Koskenvuo, M; Kratzer, W; Laitinen, J; Lamina, C; Leander, K; Lee, NR; Lichtner, P; Lind, L; Lindström, J; Sin Lo, K; Lobbens, S; Lorbeer, R; Lu, Y; Mach, F; Magnusson, PK; Mahajan, A; McArdle, WL; McLachlan, S; Menni, C; Merger, S; Mihailov, E; Milani, L; Moayyeri, A; Monda, KL; Morken, MA; Mulas, A; Müller, G; Müller-Nurasyid, M; Musk, AW; Nagaraja, R; Nöthen, MM; Nolte, IM; Pilz, S; Rayner, NW; Renstrom, F; Rettig, R; Ried, JS; Ripke, S; Robertson, NR; Rose, LM; Sanna, S; Scharnagl, H; Scholtens, S; Schumacher, FR; Scott, WR; Seufferlein, T; Shi, J; Vernon Smith, A; Smolonska, J; Stanton, AV; Steinthorsdottir, V; Stirrups, K; Stringham, HM; Sundström, J; Swertz, MA; Swift, AJ; Syvänen, AC; Tan, ST; Tayo, BO; Thorand, B; Thorleifsson, G; Tyrer, JP; Uh, HW; Vandenput, L; Verhulst, FC; Vermeulen, SH; Verweij, N; Vonk, JM; Waite, LL; Warren, HR; Waterworth, D; Weedon, Michael N.; Wilkens, LR; Willenborg, C; Wilsgaard, T; Wojczynski, MK; Wong, A; Wright, AF; Zhang, Q; LifeLines Cohort Study; Brennan, EP; Choi, M; Dastani, Z; Drong, AW; Eriksson, P; Franco-Cereceda, A; Gådin, JR; Gharavi, AG; Goddard, ME; Handsaker, RE; Huang, J; Karpe, F; Kathiresan, S; Keildson, S; Kiryluk, K; Kubo, M; Lee, JY; Liang, L; Lifton, RP; Ma, B; McCarroll, SA; McKnight, AJ; Min, JL; Moffatt, MF; Montgomery, GW; Murabito, JM; Nicholson, G; Nyholt, DR; Okada, Y; Perry, John R.B.; Dorajoo, R; Reinmaa, E; Salem, RM; Sandholm, N; Scott, RA; Stolk, L; Takahashi, A; Tanaka, T; Van't Hooft, FM; Vinkhuyzen, AA; Westra, HJ; Zheng, W; Zondervan, KT; ADIPOGen Consortium; AGEN-BMI Working Group; CARDIOGRAMplusC4D Consortium; CKDGen Consortium; GLGC; ICBP; MAGIC Investigators; MuTHER Consortium; MIGen Consortium; PAGE Consortium; ReproGen Consortium; GENIE Consortium; International Endogene Consortium; Heath, AC; Arveiler, D; Bakker, SJ; Beilby, John P.; Bergman, RN; Blangero, J; Bovet, P; Campbell, H; Caulfield, MJ; Cesana, G; Chakravarti, A; Chasman, DI; Chines, PS; Collins, FS; Crawford, DC; Cupples, LA; Cusi, D; Danesh, J; de Faire, U; den Ruijter, HM; Dominiczak, AF; Erbel, R; Erdmann, J; Eriksson, JG; Farrall, M; Felix, SB; Ferrannini, E; Ferrières, J; Ford, I; Forouhi, NG; Forrester, T; Franco, OH; Gansevoort, RT; Gejman, PV; Gieger, C; Gottesman, O; Gudnason, V; Gyllensten, U; Hall, AS; Harris, TB; Hattersley, Andrew T.; Hicks, AA; Hindorff, LA; Hingorani, AD; Hofman, A; Homuth, G; Hovingh, GK; Humphries, SE; Hunt, SC; Hyppönen, E; Illig, T; Jacobs, KB; Jarvelin, MR; Jöckel, KH; Johansen, B; Jousilahti, P; Jukema, JW; Jula, AM; Kaprio, J; Kastelein, JJ; Keinanen-Kiukaanniemi, SM; Kiemeney, LA; Knekt, P; Kooner, JS; Kooperberg, C; Kovacs, P; Kraja, AT; Kumari, M; Kuusisto, J; Lakka, TA; Langenberg, C; Le Marchand, L; Lehtimäki, T; Lyssenko, V; Männistö, S; Marette, A; Matise, TC; McKenzie, CA; McKnight, B; Moll, FL; Morris, AD; Morris, AP; Murray, JC; Nelis, M; Ohlsson, C; Oldehinkel, AJ; Ong, KK; Madden, PA; Pasterkamp, G; Peden, JF; Peters, A; Postma, DS; Pramstaller, PP; Price, JF; Qi, L; Raitakari, OT; Rankinen, T; Rao, DC; Rice, TK; Ridker, PM; Rioux, JD; Ritchie, MD; Rudan, I; Salomaa, V; Samani, NJ; Saramies, J; Sarzynski, MA; Schunkert, H; Schwarz, PE; Sever, P; Shuldiner, AR; Sinisalo, J; Stolk, RP; Strauch, K; Tönjes, A; Trégouët, DA; Tremblay, A; Tremoli, E; Virtamo, J; Vohl, MC; Völker, U; Waeber, G; Willemsen, G; Witteman, JC; Zillikens, MC; Adair, LS; Amouyel, P; Asselbergs, FW; Assimes, TL; Bochud, M; Boehm, BO; Boerwinkle, E; Bornstein, SR; Bottinger, EP; Bouchard, C; Cauchi, S; Chambers, JC; Chanock, SJ; Cooper, RS; de Bakker, PI; Dedoussis, G; Ferrucci, L; Franks, PW; Froguel, P; Groop, LC; Haiman, CA; Hamsten, A; Hui, J; Hunter, DJ; Hveem, K; Kaplan, RC; Kivimaki, M; Kuh, D; Laakso, M; Liu, Y; Martin, NG; März, W; Melbye, M; Metspalu, A; Moebus, S; Munroe, PB; Njølstad, I; Oostra, BA; Palmer, CN; Pedersen, NL; Perola, M; Pérusse, L; Peters, U; Power, C; Quertermous, T; Rauramaa, R; Rivadeneira, F; Saaristo, TE; Saleheen, D; Sattar, N; Schadt, EE; Schlessinger, D; Slagboom, PE; Snieder, H; Spector, TD; Thorsteinsdottir, U; Stumvoll, M; Tuomilehto, J; Uitterlinden, AG; Uusitupa, M; van der Harst, P; Walker, M; Wallaschofski, H; Wareham, NJ; Watkins, H; Weir, DR; Wichmann, HE; Wilson, JF; Zanen, P; Borecki, IB; Deloukas, P; Fox, CS; Heid, IM; O'Connell, JR; Strachan, DP; Stefansson, K; van Duijn, CM; Abecasis, Goncalo; Franke, L; Frayling, Timothy M.; McCarthy, MI; Visscher, PM; Scherag, A; Willer, CJ; Boehnke, M; Mohlke, KL; Lindgren, CM; Beckmann, JS; Barroso, I; North, KE; Ingelsson, E; Hirschhorn, JN; Loos, RJ; Speliotes, EK (Nature Publishing Group, 2015-02-12)
    Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure ...
  • Genetic variation in the 15q25 nicotinic acetylcholine receptor gene cluster (CHRNA5-CHRNA3-CHRNB4) interacts with maternal self-reported smoking status during pregnancy to influence birth weight 

    Tyrrell, J; Huikari, V; Christie, JT; Cavadino, A; Bakker, R; Brion, MJ; Geller, F; Paternoster, L; Myhre, R; Potter, C; Johnson, PC; Ebrahim, S; Feenstra, B; Hartikainen, AL; Hattersley, Andrew T.; Hofman, A; Kaakinen, M; Lowe, LP; Magnus, P; McConnachie, A; Melbye, M; Ng, JW; Nohr, EA; Power, C; Ring, SM; Sebert, SP; Sengpiel, V; Taal, HR; Watt, GC; Sattar, N; Relton, CL; Jacobsson, B; Frayling, Timothy M.; Sørensen, TI; Murray, JC; Lawlor, DA; Pennell, CE; Jaddoe, VW; Hypponen, E; Lowe, WL; Jarvelin, MR; Davey Smith, G; Freathy, RM; Early Growth Genetics (EGG) Consortium (Oxford University Press, 2012-12-15)
    Maternal smoking during pregnancy is associated with low birth weight. Common variation at rs1051730 is robustly associated with smoking quantity and was recently shown to influence smoking cessation during pregnancy, but ...
  • A genome-wide association meta-analysis of circulating sex hormone-binding globulin reveals multiple Loci implicated in sex steroid hormone regulation 

    Coviello, AD; Haring, R; Wellons, M; Vaidya, D; Lehtimäki, T; Keildson, S; Lunetta, KL; He, C; Fornage, M; Lagou, V; Mangino, M; Onland-Moret, NC; Chen, B; Eriksson, J; Garcia, M; Liu, YM; Koster, A; Lohman, K; Lyytikäinen, LP; Petersen, AK; Prescott, J; Stolk, L; Vandenput, L; Wood, Andrew R.; Zhuang, WV; Ruokonen, A; Hartikainen, AL; Pouta, A; Bandinelli, S; Biffar, R; Brabant, G; Cox, DG; Chen, Y; Cummings, S; Ferrucci, L; Gunter, MJ; Hankinson, SE; Martikainen, H; Hofman, A; Homuth, G; Illig, T; Jansson, JO; Johnson, AD; Karasik, D; Karlsson, M; Kettunen, J; Kiel, DP; Kraft, P; Liu, J; Ljunggren, Ö; Lorentzon, M; Maggio, M; Markus, MR; Mellström, D; Miljkovic, I; Mirel, D; Nelson, S; Morin Papunen, L; Peeters, PH; Prokopenko, I; Raffel, L; Reincke, M; Reiner, AP; Rexrode, K; Rivadeneira, F; Schwartz, SM; Siscovick, D; Soranzo, N; Stöckl, D; Tworoger, S; Uitterlinden, AG; van Gils, CH; Vasan, RS; Wichmann, HE; Zhai, G; Bhasin, S; Bidlingmaier, M; Chanock, SJ; De Vivo, I; Harris, TB; Hunter, DJ; Kähönen, M; Liu, S; Ouyang, P; Spector, TD; van der Schouw, YT; Viikari, J; Wallaschofski, H; McCarthy, MI; Frayling, Timothy M.; Murray, A; Franks, S; Järvelin, MR; de Jong, FH; Raitakari, O; Teumer, A; Ohlsson, C; Murabito, JM; Perry, John R.B. (Public Library of Science, 2012)
    Sex hormone-binding globulin (SHBG) is a glycoprotein responsible for the transport and biologic availability of sex steroid hormones, primarily testosterone and estradiol. SHBG has been associated with chronic diseases ...
  • A genome-wide association study identifies protein quantitative trait loci (pQTLs) 

    Melzer, D; Perry, John R.B.; Hernandez, D; Corsi, AM; Stevens, K; Rafferty, I; Lauretani, F; Murray, A; Gibbs, JR; Paolisso, G; Rafiq, S; Simon-Sanchez, J; Lango, H; Scholz, S; Weedon, Michael N.; Arepalli, S; Rice, N; Washecka, N; Hurst, A; Britton, A; Henley, W; van de Leemput, J; Li, R; Newman, AB; Tranah, G; Harris, T; Panicker, V; Dayan, C; Bennett, Amanda; McCarthy, MI; Ruokonen, A; Jarvelin, MR; Guralnik, J; Bandinelli, S; Frayling, Timothy M.; Singleton, A; Ferrucci, L (Public Library of Science, 2008-05)
    There is considerable evidence that human genetic variation influences gene expression. Genome-wide studies have revealed that mRNA levels are associated with genetic variation in or close to the gene coding for those mRNA ...
  • A Genomewide Scan for Loci Predisposing to Type 2 Diabetes in a U.K. Population (The Diabetes UK Warren 2 Repository): Analysis of 573 Pedigrees Provides Independent Replication of a Susceptibility Locus on Chromosome 1q 

    Wiltshire, Steven; Hattersley, Andrew T.; Hitman, Graham A.; Walker, Mark; Levy, Jonathan C.; Sampson, Michael; O’Rahilly, Stephen; Frayling, Timothy M.; Bell, John I.; Lathrop, G. Mark; Bennett, Amanda; Dhillon, Ranjit; Fletcher, Christopher; Groves, Christopher J.; Jones, Elizabeth; Prestwich, Philip; Simecek, Nikol; Rao, Pamidighantam V. Subba; Wishart, Marie; Foxon, Richard; Howell, Simon; Smedley, Damian; Cardon, Lon R.; Menzel, Stephan; McCarthy, Mark I. (The American Society of Human Genetics, 2001-09)
  • Identification of novel genetic Loci associated with thyroid peroxidase antibodies and clinical thyroid disease 

    Medici, M; Porcu, E; Pistis, G; Teumer, A; Brown, SJ; Jensen, RA; Rawal, R; Roef, GL; Plantinga, TS; Vermeulen, SH; Lahti, J; Simmonds, MJ; Husemoen, LL; Freathy, RM; Shields, BM; Pietzner, D; Nagy, R; Broer, L; Chaker, L; Korevaar, TI; Plia, MG; Sala, C; Völker, U; Richards, JB; Sweep, FC; Gieger, C; Corre, T; Kajantie, E; Thuesen, B; Taes, YE; Visser, WE; Hattersley, Andrew T.; Kratzsch, J; Hamilton, A; Li, W; Homuth, G; Lobina, M; Mariotti, S; Soranzo, N; Cocca, M; Nauck, M; Spielhagen, C; Ross, A; Arnold, A; van de Bunt, M; Liyanarachchi, S; Heier, M; Grabe, HJ; Masciullo, C; Galesloot, TE; Lim, EM; Reischl, E; Leedman, PJ; Lai, S; Delitala, A; Bremner, AP; Philips, DI; Beilby, John P.; Mulas, A; Vocale, M; Abecasis, Goncalo; Forsen, T; James, A; Widen, E; Hui, J; Prokisch, H; Rietzschel, EE; Palotie, A; Feddema, P; Fletcher, SJ; Schramm, K; Rotter, JI; Kluttig, A; Radke, D; Traglia, M; Surdulescu, GL; He, H; Franklyn, JA; Tiller, D; Vaidya, B; de Meyer, T; Jørgensen, T; Eriksson, JG; O'Leary, PC; Wichmann, E; Hermus, AR; Psaty, BM; Ittermann, T; Hofman, A; Bosi, E; Schlessinger, D; Wallaschofski, H; Pirastu, N; Aulchenko, Yurii; de la Chapelle, A; Netea-Maier, RT; Gough, SC; Meyer Zu Schwabedissen, H; Frayling, Timothy M.; Kaufman, JM; Linneberg, A; Räikkönen, K; Smit, JW; Kiemeney, LA; Rivadeneira, F; Uitterlinden, AG; Walsh, JP; Meisinger, C; den Heijer, M; Visser, TJ; Spector, TD; Wilson, SG; Völzke, H; Cappola, A; Toniolo, D; Sanna, S; Naitza, S; Peeters, RP (Public Library of Science, 2014-02)
    Autoimmune thyroid diseases (AITD) are common, affecting 2-5% of the general population. Individuals with positive thyroid peroxidase antibodies (TPOAbs) have an increased risk of autoimmune hypothyroidism (Hashimoto's ...
  • Imputation of variants from the 1000 Genomes Project modestly improves known associations and can identify low-frequency variant-phenotype associations undetected by HapMap based imputation 

    Wood, Andrew R.; Perry, John R.B.; Tanaka, T; Hernandez, DG; Zheng, HF; Melzer, D; Gibbs, JR; Nalls, MA; Weedon, Michael N.; Spector, TD; Richards, JB; Bandinelli, S; Ferrucci, L; Singleton, AB; Frayling, Timothy M. (Public Library of Science, 2013)
    Genome-wide association (GWA) studies have been limited by the reliance on common variants present on microarrays or imputable from the HapMap Project data. More recently, the completion of the 1000 Genomes Project has ...
  • Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility. 

    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; Goel, A; Gottesman, O; Grove, ML; Gustafsson, S; Hai, Y; Hallmans, G; Heo, J; Hoffmann, P; Ikram, MK; Jensen, RA; Jørgensen, ME; Jørgensen, T; Karaleftheri, M; Khor, CC; Kirkpatrick, A; Kraja, AT; Kuusisto, J; Lange, EM; Lee, IT; Lee, WJ; Leong, A; Liao, J; Liu, C; Liu, Y; Lindgren, CM; Linneberg, A; Malerba, G; Mamakou, V; Marouli, E; Maruthur, NM; Matchan, A; McKean-Cowdin, R; McLeod, O; Metcalf, GA; Mohlke, KL; Muzny, DM; Ntalla, I; Palmer, ND; Pasko, D; Peter, A; Rayner, NW; Renström, F; Rice, K; Sala, CF; Sennblad, B; Serafetinidis, I; Smith, JA; Soranzo, N; Speliotes, EK; Stahl, EA; Stirrups, K; Tentolouris, N; Thanopoulou, A; Torres, M; Traglia, M; Tsafantakis, E; Javad, S; Yanek, LR; Zengini, E; Becker, DM; Bis, JC; Brown, JB; Cupples, LA; Hansen, T; Ingelsson, E; Karter, AJ; Lorenzo, C; Mathias, RA; Norris, JM; Peloso, GM; Sheu, WH; Toniolo, D; Vaidya, D; Varma, R; Wagenknecht, LE; Boeing, H; Bottinger, EP; Dedoussis, G; Deloukas, P; Ferrannini, E; Franco, OH; Franks, PW; Gibbs, RA; Gudnason, V; Hamsten, A; Harris, TB; Hattersley, Andrew T.; Hayward, C; Hofman, A; Jansson, JH; Langenberg, C; Launer, LJ; Levy, D; Oostra, BA; O'Donnell, CJ; O'Rahilly, S; Padmanabhan, S; Pankow, JS; Polasek, O; Province, MA; Rich, SS; Ridker, PM; Rudan, I; Schulze, MB; Smith, BH; Uitterlinden, AG; Walker, M; Watkins, H; Wong, TY; Zeggini, E; EPIC-InterAct Consortium; Laakso, M; Borecki, IB; Chasman, DI; Pedersen, O; Psaty, BM; Tai, ES; van Duijn, CM; Wareham, NJ; Waterworth, DM; Boerwinkle, E; Kao, WH; Florez, JC; Loos, RJ; Wilson, JG; Frayling, Timothy M.; Siscovick, DS; Dupuis, J; Rotter, JI; Meigs, JB; Scott, RA; Goodarzi, MO (Nature Publishing Group, 2015)
    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 60,564 non-diabetic individuals ...
  • A meta-analysis of the associations between common variation in the PDE8B gene and thyroid hormone parameters, including assessment of longitudinal stability of associations over time and effect of thyroid hormone replacement 

    Taylor, PN; Panicker, V; Sayers, A; Shields, B; Iqbal, A; Bremner, AP; Beilby, John P.; Leedman, PJ; Hattersley, Andrew T.; Vaidya, B; Frayling, Timothy M.; Evans, J; Tobias, JH; Timpson, NJ; Walsh, JP; Dayan, CM (BioScientifica, 2011-05)
    OBJECTIVE: Common variants in PDE8B are associated with TSH but apparently without any effect on thyroid hormone levels that is difficult to explain. Furthermore, the stability of the association has not been examined in ...
  • Missense mutations in the insulin promoter factor-1 gene predispose to type 2 diabetes 

    Macfarlane, Wendy M.; Frayling, Timothy M.; Ellard, Sian; Evans, Julie C.; Allen, Lisa I. S.; Bulman, Michael P.; Ayres, Susan; Shepherd, Maggie H.; Clark, Penny; Millward, Ann; Demaine, Andrew; Wilkin, Terence; Docherty, Kevin; Hattersley, Andrew T. (American Society for Clinical Investigation, 1999-11-01)
    The transcription factor insulin promoter factor-1 (IPF-1) plays a central role in both the development of the pancreas and the regulation of insulin gene expression in the mature pancreatic beta cell. A dominant-negative ...
  • New loci associated with birth weight identify genetic links between intrauterine growth and adult height and metabolism 

    Horikoshi, M; Yaghootkar, H; Mook-Kanamori, DO; Sovio, U; Taal, HR; Hennig, BJ; Bradfield, JP; St Pourcain, B; Evans, DM; Charoen, P; Kaakinen, M; Cousminer, DL; Lehtimäki, T; Kreiner-Møller, E; Warrington, NM; Bustamante, M; Feenstra, B; Berry, DJ; Thiering, E; Pfab, T; Barton, SJ; Shields, BM; Kerkhof, M; Van Leeuwen, EM; Fulford, AJ; Kutalik, Z; Zhao, JH; Den Hoed, M; Mahajan, A; Lindi, V; Goh, L-K; Hottenga, J-J; Wu, Y; Raitakari, OT; Harder, MN; Meirhaeghe, A; Ntalla, I; Salem, RM; Jameson, KA; Zhou, K; Monies, DM; Lagou, V; Kirin, M; Heikkinen, J; Adair, LS; Alkuraya, FS; Al-Odaib, A; Amouyel, P; Andersson, EA; Bennett, Amanda; Blakemore, AIF; Buxton, JL; Dallongeville, J; Das, S; De Geus, EJC; Estivill, X; Flexeder, C; Froguel, P; Geller, F; Godfrey, KM; Gottrand, F; Groves, Christopher J.; Hansen, T; Hirschhorn, JN; Hofman, A; Hollegaard, MV; Hougaard, DM; Hyppönen, E; Inskip, HM; Isaacs, A; Jørgensen, T; Kanaka-Gantenbein, C; Kemp, JP; Kiess, W; Kilpeläinen, TO; Klopp, N; Knight, BA; Kuzawa, CW; Mcmahon, G; Newnham, JP; Niinikoski, H; Oostra, BA; Pedersen, L; Postma, DS; Ring, SM; Rivadeneira, F; Robertson, NR; Sebert, S; Simell, O; Slowinski, T; Tiesler, CMT; Tönjes, A; Vaag, A; Viikari, JS; Vink, JM; Vissing, NH; Wareham, NJ; Willemsen, G; Witte, DR; Zhang, H; Zhao, J; Wilson, JF; Stumvoll, M; Prentice, AM; Meyer, BF; Pearson, ER; Boreham, CAG; Cooper, C; Gillman, MW; Dedoussis, GV; Moreno, LA; Pedersen, O; Saarinen, M; Mohlke, KL; Boomsma, Dorret; Saw, S-M; Lakka, TA; Körner, A; Loos, RJF; Ong, KK; Vollenweider, P; Van Duijn, CM; Koppelman, GH; Hattersley, Andrew T.; Holloway, JW; Hocher, B; Heinrich, J; Power, C; Melbye, M; Guxens, M; Pennell, CE; Bønnelykke, K; Bisgaard, H; Eriksson, JG; Widén, E; Hakonarson, H; Uitterlinden, AG; Pouta, A; Lawlor, DA; Smith, GD; Frayling, Timothy M.; McCarthy, MI; Grant, SFA; Jaddoe, VWV; Jarvelin, M-R; Timpson, NJ; Prokopenko, I; Freathy, RM (Nature Publishing Group, 2013-01)
    Birth weight within the normal range is associated with a variety of adult-onset diseases, but the mechanisms behind these associations are poorly understood. Previous genome-wide association studies of birth weight ...
  • Parental diabetes and birthweight in 236 030 individuals in the UK biobank study 

    Tyrrell, JS; Yaghootkar, H; Freathy, RM; Hattersley, Andrew T.; Frayling, Timothy M. (Oxford University Press, 2013-12)
    BACKGROUND: The UK Biobank study provides a unique opportunity to study the causes and consequences of disease. We aimed to use the UK Biobank data to study the well-established, but poorly understood, association between ...
  • Sequencing PDX1 (insulin promoter factor 1) in 1788 UK individuals found 5% had a low frequency coding variant, but these variants are not associated with Type 2 diabetes 

    Edghill, EL; Khamis, A; Weedon, Michael N.; Walker, M; Hitman, GA; McCarthy, MI; Owen, KR; Ellard, Sian; Hattersley, Andrew T.; Frayling, Timothy M. (Wiley-Blackwell, 2011-06)
    Genome-wide association studies have identified >30 common variants associated with Type 2 diabetes (>5% minor allele frequency). These variants have small effects on individual risk and do not account for a large proportion ...
  • Stratifying type 2 diabetes cases by BMI identifies genetic risk variants in LAMA1 and enrichment for risk variants in lean compared to obese cases 

    Perry, John R.B.; Voight, BF; Yengo, L; Amin, N; Dupuis, J; Ganser, M; Grallert, H; Navarro, P; Li, M; Qi, L; Steinthorsdottir, V; Scott, RA; Almgren, P; Arking, DE; Aulchenko, Yurii; Balkau, B; Benediktsson, R; Bergman, RN; Boerwinkle, E; Bonnycastle, Lori; Burtt, NP; Campbell, H; Charpentier, G; Collins, FS; Gieger, C; Green, Todd; Hadjadj, S; Hattersley, Andrew T.; Herder, C; Hofman, A; Johnson, AD; Kottgen, A; Kraft, P; Labrune, Y; Langenberg, C; Manning, AK; Mohlke, KL; Morris, AP; Oostra, B; Pankow, J; Petersen, AK; Pramstaller, PP; Prokopenko, I; Rathmann, W; Rayner, W; Roden, M; Rudan, I; Rybin, D; Scott, LJ; Sigurdsson, G; Sladek, R; Thorleifsson, G; Thorsteinsdottir, U; Tuomilehto, J; Uitterlinden, AG; Vivequin, S; Weedon, Michael N.; Wright, AF; MAGIC; DIAGRAM Consortium; GIANT Consortium; Hu, FB; Illig, T; Kao, L; Meigs, JB; Wilson, JF; Stefansson, K; van Duijn, C; Altschuler, D; Morris, AD; Boehnke, M; McCarthy, MI; Froguel, P; Palmer, CN; Wareham, NJ; Groop, L; Frayling, Timothy M.; Cauchi, S (Public Library of Science, 2012-05)
    Common diseases such as type 2 diabetes are phenotypically heterogeneous. Obesity is a major risk factor for type 2 diabetes, but patients vary appreciably in body mass index. We hypothesized that the genetic predisposition ...