Now showing items 1-20 of 33

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

    Wood, Andrew R.; Hernandez, Dena; Nalls, MA; Yaghootkar, H; Gibbs, JR; Harries, LW; Chong, S; Moore, Matthew; Weedon, Michael N.; Guralnik, Jack; 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, Malcolm; 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, Cyrus; März, W; Power, C; Loos, RJ; Wang, TJ; Järvelin, MR; Whittaker, JC; Hingorani, Aroon; 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, Jack; 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 ...
  • The functional "KL-VS" variant of KLOTHO is not associated with type 2 diabetes in 5028 UK Caucasians. 

    Freathy, RM; Weedon, Michael N.; Melzer, D; Shields, B; Hitman, Graham A.; Walker, M; McCarthy, MI; Hattersley, Andrew T.; Frayling, Timothy M. (BioMed Central, 2006-06-05)
    BACKGROUND: Klotho has an important role in insulin signalling and the development of ageing-like phenotypes in mice. The common functional "KL-VS" variant in the KLOTHO (KL) gene is associated with longevity in humans but ...
  • Genetic evidence for a normal-weight "metabolically obese" phenotype linking insulin resistance, hypertension, coronary artery disease, and type 2 diabetes 

    Yaghootkar, H; Scott, RA; White, CC; Zhang, W; Speliotes, E; Munroe, PB; Ehret, GB; Bis, JC; Fox, CS; Walker, M; Borecki, IB; Knowles, JW; Yerges-Armstrong, L; Ohlsson, C; Perry, JR; Chambers, JC; Kooner, JS; Franceschini, N; Langenberg, C; Hivert, MF; Dastani, Z; Richards, JB; Semple, RK; Frayling, Timothy M. (American Diabetes Association, 2014-12)
    The mechanisms that predispose to hypertension, coronary artery disease (CAD), and type 2 diabetes (T2D) in individuals of normal weight are poorly understood. In contrast, in monogenic primary lipodystrophy-a reduction ...
  • Genetic Evidence for Causal Relationships Between Maternal Obesity-Related Traits and Birth Weight 

    Tyrrell, J; Richmond, RC; Palmer, TM; Feenstra, B; Rangarajan, J; Metrustry, S; Cavadino, A; Paternoster, L; Armstrong, LL; De Silva, NMG; Wood, AR; Horikoshi, M; Geller, F; Myhre, R; Bradfield, JP; Kreiner-Møller, E; Huikari, V; Painter, JN; Hottenga, J-J; Allard, C; Berry, DJ; Bouchard, L; Das, S; Evans, DM; Hakonarson, H; Hayes, MG; Heikkinen, J; Hofman, A; Knight, B; Lind, PA; McCarthy, MI; McMahon, G; Medland, SE; Melbye, M; Morris, AP; Nodzenski, M; Reichetzeder, C; Ring, SM; Sebert, S; Sengpiel, V; Sørensen, TIA; Willemsen, G; de Geus, EJC; Martin, NG; Spector, TD; Power, C; Järvelin, M-R; Bisgaard, H; Grant, SFA; Nohr, EA; Jaddoe, VW; Jacobsson, B; Murray, JC; Hocher, B; Hattersley, AT; Scholtens, DM; Davey Smith, G; Hivert, M-F; Felix, JF; Hyppönen, E; Lowe, WL; Frayling, Timothy M.; Lawlor, DA; Freathy, RM (American Medical Association (AMA), 2016-03-15)
    Importance Neonates born to overweight or obese women are larger and at higher risk of birth complications. Many maternal obesity-related traits are observationally associated with birth weight, but the causal nature of ...
  • 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, Krista; 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, Christopher J.; 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, Johan G.; 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, Tamara; Hattersley, Andrew T.; Hicks, AA; Hindorff, LA; Hingorani, Aroon; 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, George V.; Ferrucci, L; Franks, PW; Froguel, P; Groop, Leif; 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, Jessica S.; 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, Joel; 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, David G.; 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, Tamara; 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, Dena; 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, William E.; van de Leemput, J; Li, R; Newman, AB; Tranah, G; Harris, Tamara; Panicker, V; Dayan, Colin M.; Bennett, Amanda; McCarthy, MI; Ruokonen, A; Jarvelin, MR; Guralnik, Jack; 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 and validation of N-acetyltransferase 2 as an insulin sensitivity gene 

    Knowles, Joshua W.; Xie, Weijia; Zhang, Zhongyang; Chennemsetty, Indumathi; Assimes, Themistocles L.; Paananen, Jussi; Hansson, Ola; Pankow, James; Goodarzi, Mark O.; Carcamo-Orive, Ivan; Morris, Andrew P.; Chen, Yii-Der I.; Mäkinen, Ville-Petteri; Ganna, Andrea; Mahajan, Anubha; Guo, Xiuqing; Abbasi, Fahim; Greenawalt, Danielle M.; Lum, Pek; Molony, Cliona; Lind, Lars; Lindgren, Cecilia; Raffel, Leslie J.; Tsao, Philip S.; Schadt, Eric E.; Rotter, Jerome I.; Sinaiko, Alan; Reaven, Gerald; Yang, Xia; Hsiung, Chao A.; Groop, Leif; Cordell, Heather J.; Laakso, Markku; Hao, Ke; Ingelsson, Erik; Frayling, Timothy M.; Weedon, Michael N.; Walker, Mark; Quertermous, Thomas (American Society for Clinical Investigation, 2015-04-01)
    Decreased insulin sensitivity, also referred to as insulin resistance (IR), is a fundamental abnormality in patients with type 2 diabetes and a risk factor for cardiovascular disease. While IR predisposition is heritable, ...
  • Identification of novel genetic Loci associated with thyroid peroxidase antibodies and clinical thyroid disease 

    Medici, M; Porcu, E; Pistis, G; Teumer, A; Brown, Suzanne J.; 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, Alexander; 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, Johan G.; 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, Dena; 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, Xiuqing; 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, Dorota; 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, George V.; Deloukas, P; Ferrannini, E; Franco, OH; Franks, PW; Gibbs, RA; Gudnason, V; Hamsten, A; Harris, Tamara; 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, Jonathan; Tobias, JH; Timpson, NJ; Walsh, JP; Dayan, Colin M. (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 ...
  • A meta-analysis of thyroid-related traits reveals novel loci and gender-specific differences in the regulation of thyroid function. 

    Porcu, E; Medici, M; Pistis, G; Volpato, CB; Wilson, SG; Cappola, AR; Bos, SD; Deelen, J; den Heijer, M; Freathy, RM; Lahti, J; Liu, C; Lopez, LM; Nolte, IM; O'Connell, JR; Tanaka, T; Trompet, S; Arnold, A; Bandinelli, S; Beekman, M; Böhringer, S; Brown, SJ; Buckley, BM; Camaschella, C; de Craen, AJ; Davies, G; de Visser, MC; Ford, I; Forsen, T; Frayling, Timothy M.; Fugazzola, L; Gögele, M; Hattersley, Andrew T.; Hermus, AR; Hofman, A; Houwing-Duistermaat, JJ; Jensen, RA; Kajantie, E; Kloppenburg, M; Lim, EM; Masciullo, C; Mariotti, S; Minelli, C; Mitchell, BD; Nagaraja, R; Netea-Maier, RT; Palotie, A; Persani, L; Piras, MG; Psaty, BM; Räikkönen, K; Richards, JB; Rivadeneira, F; Sala, C; Sabra, MM; Sattar, N; Shields, BM; Soranzo, N; Starr, JM; Stott, DJ; Sweep, FC; Usala, G; van der Klauw, MM; van Heemst, D; van Mullem, A; Vermeulen, SH; Visser, WE; Walsh, JP; Westendorp, RG; Widen, E; Zhai, G; Cucca, F; Deary, IJ; Eriksson, JG; Ferrucci, L; Fox, CS; Jukema, JW; Kiemeney, LA; Pramstaller, PP; Schlessinger, D; Shuldiner, AR; Slagboom, EP; Uitterlinden, AG; Vaidya, B; Visser, TJ; Wolffenbuttel, BH; Meulenbelt, I; Rotter, JI; Spector, TD; Hicks, AA; Toniolo, D; Sanna, S; Peeters, RP; Naitza, S (Public Library of Science, 2013-02-07)
    Thyroid hormone is essential for normal metabolism and development, and overt abnormalities in thyroid function lead to common endocrine disorders affecting approximately 10% of individuals over their life span. In addition, ...