Now showing items 1-4 of 4

  • Evaluating the contribution of rare variants to type 2 diabetes and related traits using pedigrees 

    Jun, G; Manning, A; Almeida, M; Zawistowski, M; Wood, AR; Teslovich, TM; Fuchsberger, C; Feng, S; Cingolani, P; Gaulton, KJ; Dyer, T; Blackwell, TW; Chen, H; Chines, PS; Choi, S; Churchhouse, C; Fontanillas, P; King, R; Lee, S; Lincoln, SE; Trubetskoy, V; DePristo, M; Fingerlin, T; Grossman, R; Grundstad, J; Heath, A; Kim, J; Kim, YJ; Laramie, J; Lee, J; Li, H; Liu, X; Livne, O; Locke, AE; Maller, J; Mazur, A; Morris, AP; Pollin, TI; Ragona, D; Reich, D; Rivas, MA; Scott, LJ; Sim, X; Tearle, RG; Teo, YY; Williams, AL; Zöllner, S; Curran, JE; Peralta, J; Akolkar, B; Bell, GI; Burtt, NP; Cox, NJ; Florez, JC; Hanis, CL; McKeon, C; Mohlke, KL; Seielstad, M; Wilson, JG; Atzmon, G; Below, JE; Dupuis, J; Nicolae, DL; Lehman, D; Park, T; Won, S; Sladek, R; Altshuler, D; McCarthy, MI; Duggirala, R; Boehnke, M; Frayling, TM; Abecasis, GR; Blangero, J (National Academy of Sciences, 2018-01-09)
    A major challenge in evaluating the contribution of rare variants to complex disease is identifying enough copies of the rare alleles to permit informative statistical analysis. To investigate the contribution of rare ...
  • Hypothesis-based analysis of gene-gene interactions and risk of myocardial infarction 

    Lucas, G; Lluís-Ganella, C; Subirana, I; Musameh, MD; Gonzalez, JR; Nelson, CP; Sentí, M; Myocardial Infarction Genetics Consortium; Wellcome Trust Case Control Consortium; Schwartz, SM; Siscovick, D; O'Donnell, CJ; Melander, O; Salomaa, V; Purcell, S; Altshuler, D; Samani, NJ; Kathiresan, S; Elosua, R (Public Library of Science, 2012)
    The genetic loci that have been found by genome-wide association studies to modulate risk of coronary heart disease explain only a fraction of its total variance, and gene-gene interactions have been proposed as a potential ...
  • A Low-Frequency Inactivating Akt2 Variant Enriched in the Finnish Population is Associated With Fasting Insulin Levels and Type 2 Diabetes Risk 

    Manning, A; Highland, HM; Gasser, J; Sim, X; Tukiainen, T; Fontanillas, P; Grarup, N; Rivas, MA; Mahajan, A; Locke, AE; Cingolani, P; Pers, TH; Viñuela, A; Brown, AA; Wu, Y; Flannick, J; Fuchsberger, C; Gamazon, ER; Gaulton, KJ; Im, HK; Teslovich, TM; Blackwell, TW; Bork-Jensen, J; Burtt, NP; Chen, Y; Green, T; Hartl, C; Kang, HM; Kumar, A; Ladenvall, C; Ma, C; Moutsianas, L; Pearson, RD; Perry, JRB; Rayner, NW; Robertson, NR; Scott, LJ; van de Bunt, M; Eriksson, JG; Jula, A; Koskinen, S; Lehtimäki, T; Palotie, A; Raitakari, OT; Jacobs, SB; Wessel, J; Chu, AY; Scott, RA; Goodarzi, MO; Blancher, C; Buck, G; Buck, D; Chines, PS; Gabriel, S; Gjesing, AP; Groves, CJ; Hollensted, M; Huyghe, JR; Jackson, AU; Jun, G; Justesen, JM; Mangino, M; Murphy, J; Neville, M; Onofrio, R; Small, KS; Stringham, HM; Trakalo, J; Banks, E; Carey, J; Carneiro, MO; DePristo, M; Farjoun, Y; Fennell, T; Goldstein, JI; Grant, G; Hrabé de Angelis, M; Maguire, J; Neale, BM; Poplin, R; Purcell, S; Schwarzmayr, T; Shakir, K; Smith, JD; Strom, TM; Wieland, T; Lindstrom, J; Brandslund, I; Christensen, C; Surdulescu, GL; Lakka, TA; Doney, ASF; Nilsson, P; Wareham, NJ; Langenberg, C; Varga, TV; Franks, PW; Rolandsson, O; Rosengren, AH; Farook, VS; Thameem, F; Puppala, S; Kumar, S; Lehman, DM; Jenkinson, CP; Curran, JE; Hale, DE; Fowler, SP; Arya, R; DeFronzo, RA; Abboud, HE; Syvänen, A-C; Hicks, PJ; Palmer, ND; Ng, MCY; Bowden, DW; Freedman, BI; Esko, T; Mägi, R; Milani, L; Mihailov, E; Metspalu, A; Narisu, N; Kinnunen, L; Bonnycastle, LL; Swift, A; Pasko, D; Wood, AR; Fadista, J; Pollin, TI; Barzilai, N; Atzmon, G; Glaser, B; Thorand, B; Strauch, K; Peters, A; Roden, M; Müller-Nurasyid, M; Liang, L; Kriebel, J; Illig, T; Grallert, H; Gieger, C; Meisinger, C; Lannfelt, L; Musani, SK; Griswold, M; Taylor, HA; Wilson, G; Correa, A; Oksa, H; Scott, WR; Afzal, U; Tan, S-T; Loh, M; Chambers, JC; Sehmi, J; Kooner, JS; Lehne, B; Cho, YS; Lee, J-Y; Han, B-G; Käräjämäki, A; Qi, Q; Qi, L; Huang, J; Hu, FB; Melander, O; Orho-Melander, M; Below, JE; Aguilar, D; Wong, TY; Liu, J; Khor, C-C; Chia, KS; Lim, WY; Cheng, C-Y; Chan, E; Tai, ES; Aung, T; Linneberg, A; Isomaa, B; Meitinger, T; Tuomi, T; Hakaste, L; Kravic, J; Jørgensen, ME; Lauritzen, T; Deloukas, P; Stirrups, KE; Owen, KR; Farmer, AJ; Frayling, TM; O'Rahilly, SP; Walker, M; Levy, JC; Hodgkiss, D; Hattersley, AT; Kuulasmaa, T; Stančáková, A; Barroso, I; Bharadwaj, D; Chan, J; Chandak, GR; Daly, MJ; Donnelly, PJ; Ebrahim, SB; Elliott, P; Fingerlin, T; Froguel, P; Hu, C; Jia, W; Ma, RCW; McVean, G; Park, T; Prabhakaran, D; Sandhu, M; Scott, J; Sladek, R; Tandon, N; Teo, YY; Zeggini, E; Watanabe, RM; Koistinen, HA; Kesaniemi, YA; Uusitupa, M; Spector, TD; Salomaa, V; Rauramaa, R; Palmer, CNA; Prokopenko, I; Morris, AD; Bergman, RN; Collins, FS; Lind, L; Ingelsson, E; Tuomilehto, J; Karpe, F; Groop, L; Jørgensen, T; Hansen, T; Pedersen, O; Kuusisto, J; Abecasis, G; Bell, GI; Blangero, J; Cox, NJ; Duggirala, R; Seielstad, M; Wilson, JG; Dupuis, J; Ripatti, S; Hanis, CL; Florez, JC; Mohlke, KL; Meigs, JB; Laakso, M; Morris, AP; Boehnke, M; Altshuler, D; McCarthy, MI; Gloyn, AL; Lindgren, CM (American Diabetes Association, 2017-03-24)
    To identify novel coding association signals and facilitate characterization of mechanisms influencing glycemic traits and type 2 diabetes risk, we analyzed 109,215 variants derived from exome array genotyping together ...
  • A reference panel of 64,976 haplotypes for genotype imputation. 

    McCarthy, S; Das, S; Kretzschmar, W; Delaneau, O; Wood, AR; Teumer, A; Kang, HM; Fuchsberger, C; Danecek, P; Sharp, K; Luo, Y; Sidore, C; Kwong, A; Timpson, N; Koskinen, S; Vrieze, S; Scott, LJ; Zhang, H; Mahajan, A; Veldink, J; Peters, U; Pato, C; van Duijn, CM; Gillies, CE; Gandin, I; Mezzavilla, M; Gilly, A; Cocca, M; Traglia, M; Angius, A; Barrett, JC; Boomsma, D; Branham, K; Breen, G; Brummett, CM; Busonero, F; Campbell, H; Chan, A; Chen, S; Chew, E; Collins, FS; Corbin, LJ; Smith, GD; Dedoussis, G; Dorr, M; Farmaki, AE; Ferrucci, L; Forer, L; Fraser, RM; Gabriel, S; Levy, S; Groop, L; Harrison, T; Hattersley, A; Holmen, OL; Hveem, K; Kretzler, M; Lee, JC; McGue, M; Meitinger, T; Melzer, D; Min, JL; Mohlke, KL; Vincent, JB; Nauck, M; Nickerson, D; Palotie, A; Pato, M; Pirastu, N; McInnis, M; Richards, JB; Sala, C; Salomaa, V; Schlessinger, D; Schoenherr, S; Slagboom, PE; Small, K; Spector, T; Stambolian, D; Tuke, M; Tuomilehto, J; Van den Berg, LH; Van Rheenen, W; Volker, U; Wijmenga, C; Toniolo, D; Zeggini, E; Gasparini, P; Sampson, MG; Wilson, JF; Frayling, T; de Bakker, PI; Swertz, MA; McCarroll, S; Kooperberg, C; Dekker, A; Altshuler, D; Willer, C; Iacono, W; Ripatti, S; Soranzo, N; Walter, K; Swaroop, A; Cucca, F; Anderson, CA; Myers, RM; Boehnke, M; McCarthy, MI; Durbin, R; Abecasis, G; Marchini, J; Haplotype Reference Consortium (Nature Publishing Group, 2016-08-22)
    We describe a reference panel of 64,976 human haplotypes at 39,235,157 SNPs constructed using whole-genome sequence data from 20 studies of predominantly European ancestry. Using this resource leads to accurate genotype ...