Now showing items 1-14 of 14

    • Assessing the effect of obesity-related traits on multiple myeloma using a Mendelian randomisation approach. 

      Went, M; Sud, A; Law, PJ; Johnson, DC; Weinhold, N; Försti, A; van Duin, M; Mitchell, JS; Chen, B; Kuiper, R; Stephens, OW; Bertsch, U; Campo, C; Einsele, H; Gregory, WM; Henrion, M; Hillengass, J; Hoffmann, P; Jackson, GH; Lenive, O; Nickel, J; Nöthen, MM; da Silva Filho, MI; Thomsen, H; Walker, BA; Broyl, A; Davies, FE; Langer, C; Hansson, M; Kaiser, M; Sonneveld, P; Goldschmidt, H; Hemminki, K; Nilsson, B; Morgan, GJ; Houlston, RS (2017-06-16)
    • Association of breast cancer risk in BRCA1 and BRCA2 mutation carriers with genetic variants showing differential allelic expression: identification of a modifier of breast cancer risk at locus 11q22.3. 

      Hamdi, Y; Soucy, P; Kuchenbaeker, KB; Pastinen, T; Droit, A; Lemaçon, A; Adlard, J; Aittomäki, K; Andrulis, IL; Arason, A; Arnold, N; Arun, BK; Azzollini, J; Bane, A; Barjhoux, L; Barrowdale, D; Benitez, J; Berthet, P; Blok, MJ; Bobolis, K; Bonadona, V; Bonanni, B; Bradbury, AR; Brewer, C; Buecher, B; Buys, SS; Caligo, MA; Chiquette, J; Chung, WK; Claes, KBM; Daly, MB; Damiola, F; Davidson, R; De la Hoya, M; De Leeneer, K; Diez, O; Ding, YC; Dolcetti, R; Domchek, SM; Dorfling, CM; Eccles, D; Eeles, R; Einbeigi, Z; Ejlertsen, B; EMBRACE; Engel, C; Gareth Evans, D; Feliubadalo, L; Foretova, L; Fostira, F; Foulkes, WD; Fountzilas, G; Friedman, E; Frost, D; Ganschow, P; Ganz, PA; Garber, J; Gayther, SA; GEMO Study Collaborators; Gerdes, A-M; Glendon, G; Godwin, AK; Goldgar, DE; Greene, MH; Gronwald, J; Hahnen, E; Hamann, U; Hansen, TVO; Hart, S; Hays, JL; HEBON; Hogervorst, FBL; Hulick, PJ; Imyanitov, EN; Isaacs, C; Izatt, L; Jakubowska, A; James, P; Janavicius, R; Jensen, UB; John, EM; Joseph, V; Just, W; Kaczmarek, K; Karlan, BY; KConFab Investigators; Kets, CM; Kirk, J; Kriege, M; Laitman, Y; Laurent, M; Lazaro, C; Leslie, G; Lester, J; Lesueur, F; Liljegren, A; Loman, N; Loud, JT; Manoukian, S; Mariani, M; Mazoyer, S; McGuffog, L; Meijers-Heijboer, HEJ; Meindl, A; Miller, A; Montagna, M; Mulligan, AM; Nathanson, KL; Neuhausen, SL; Nevanlinna, H; Nussbaum, RL; Olah, E; Olopade, OI; Ong, K-R; Oosterwijk, JC; Osorio, A; Papi, L; Park, SK; Pedersen, IS; Peissel, B; Segura, PP; Peterlongo, P; Phelan, CM; Radice, P; Rantala, J; Rappaport-Fuerhauser, C; Rennert, G; Richardson, A; Robson, M; Rodriguez, GC; Rookus, MA; Schmutzler, RK; Sevenet, N; Shah, PD; Singer, CF; Slavin, TP; Snape, K; Sokolowska, J; Sønderstrup, IMH; Southey, M; Spurdle, AB; Stadler, Z; Stoppa-Lyonnet, D; Sukiennicki, G; Sutter, C; Tan, Y; Tea, M-K; Teixeira, MR; Teulé, A; Teo, S-H; Terry, MB; Thomassen, M; Tihomirova, L; Tischkowitz, M; Tognazzo, S; Toland, AE; Tung, N; van den Ouweland, AMW; van der Luijt, RB; van Engelen, K; van Rensburg, EJ; Varon-Mateeva, R; Wappenschmidt, B; Wijnen, JT; Rebbeck, T; Chenevix-Trench, G; Offit, K; Couch, FJ; Nord, S; Easton, DF; Antoniou, AC; Simard, J (2017-01)
      PURPOSE: Cis-acting regulatory SNPs resulting in differential allelic expression (DAE) may, in part, explain the underlying phenotypic variation associated with many complex diseases. To investigate whether common variants ...
    • Association of breast cancer risk with genetic variants showing differential allelic expression: Identification of a novel breast cancer susceptibility locus at 4q21. 

      Hamdi, Y; Soucy, P; Adoue, V; Michailidou, K; Canisius, S; Lemaçon, A; Droit, A; Andrulis, IL; Anton-Culver, H; Arndt, V; Baynes, C; Blomqvist, C; Bogdanova, NV; Bojesen, SE; Bolla, MK; Bonanni, B; Borresen-Dale, A-L; Brand, JS; Brauch, H; Brenner, H; Broeks, A; Burwinkel, B; Chang-Claude, J; NBCS Collaborators; Couch, FJ; Cox, A; Cross, SS; Czene, K; Darabi, H; Dennis, J; Devilee, P; Dörk, T; Dos-Santos-Silva, I; Eriksson, M; Fasching, PA; Figueroa, J; Flyger, H; García-Closas, M; Giles, GG; Goldberg, MS; González-Neira, A; Grenaker-Alnæs, G; Guénel, P; Haeberle, L; Haiman, CA; Hamann, U; Hallberg, E; Hooning, MJ; Hopper, JL; Jakubowska, A; Jones, M; Kabisch, M; Kataja, V; Lambrechts, D; Le Marchand, L; Lindblom, A; Lubinski, J; Mannermaa, A; Maranian, M; Margolin, S; Marme, F; Milne, RL; Neuhausen, SL; Nevanlinna, H; Neven, P; Olswold, C; Peto, J; Plaseska-Karanfilska, D; Pylkäs, K; Radice, P; Rudolph, A; Sawyer, EJ; Schmidt, MK; Shu, X-O; Southey, MC; Swerdlow, A; Tollenaar, RAEM; Tomlinson, I; Torres, D; Truong, T; Vachon, C; Van Den Ouweland, AMW; Wang, Q; Winqvist, R; kConFab/AOCS Investigators; Zheng, W; Benitez, J; Chenevix-Trench, G; Dunning, AM; Pharoah, PDP; Kristensen, V; Hall, P; Easton, DF; Pastinen, T; Nord, S; Simard, J (2016-12-06)
      There are significant inter-individual differences in the levels of gene expression. Through modulation of gene expression, cis-acting variants represent an important source of phenotypic variation. Consequently, cis-regulatory ...
    • Bromodomain protein 4 discriminates tissue-specific super-enhancers containing disease-specific susceptibility loci in prostate and breast cancer. 

      Zuber, V; Bettella, F; Witoelar, A; PRACTICAL Consortium; CRUK GWAS; BCAC Consortium; TRICL Consortium; Andreassen, OA; Mills, IG; Urbanucci, A (2017-03-31)
      BACKGROUND: Epigenetic information can be used to identify clinically relevant genomic variants single nucleotide polymorphisms (SNPs) of functional importance in cancer development. Super-enhancers are cell-specific DNA ...
    • Capture Hi-C identifies putative target genes at 33 breast cancer risk loci. 

      Baxter, JS; Leavy, OC; Dryden, NH; Maguire, S; Johnson, N; Fedele, V; Simigdala, N; Martin, L-A; Andrews, S; Wingett, SW; Assiotis, I; Fenwick, K; Chauhan, R; Rust, AG; Orr, N; Dudbridge, F; Haider, S; Fletcher, O (2018-03-12)
      Genome-wide association studies (GWAS) have identified approximately 100 breast cancer risk loci. Translating these findings into a greater understanding of the mechanisms that influence disease risk requires identification ...
    • Cell-type-specific eQTL of primary melanocytes facilitates identification of melanoma susceptibility genes. 

      Zhang, T; Choi, J; Kovacs, MA; Shi, J; Xu, M; NISC Comparative Sequencing Program; Melanoma Meta-Analysis Consortium; Goldstein, AM; Trower, AJ; Bishop, DT; Iles, MM; Duffy, DL; MacGregor, S; Amundadottir, LT; Law, MH; Loftus, SK; Pavan, WJ; Brown, KM (2018-11)
      Most expression quantitative trait locus (eQTL) studies to date have been performed in heterogeneous tissues as opposed to specific cell types. To better understand the cell-type-specific regulatory landscape of human ...
    • Fine-mapping of prostate cancer susceptibility loci in a large meta-analysis identifies candidate causal variants. 

      Dadaev, T; Saunders, EJ; Newcombe, PJ; Anokian, E; Leongamornlert, DA; Brook, MN; Cieza-Borrella, C; Mijuskovic, M; Wakerell, S; Olama, AAA; Schumacher, FR; Berndt, SI; Benlloch, S; Ahmed, M; Goh, C; Sheng, X; Zhang, Z; Muir, K; Govindasami, K; Lophatananon, A; Stevens, VL; Gapstur, SM; Carter, BD; Tangen, CM; Goodman, P; Thompson, IM; Batra, J; Chambers, S; Moya, L; Clements, J; Horvath, L; Tilley, W; Risbridger, G; Gronberg, H; Aly, M; Nordström, T; Pharoah, P; Pashayan, N; Schleutker, J; Tammela, TLJ; Sipeky, C; Auvinen, A; Albanes, D; Weinstein, S; Wolk, A; Hakansson, N; West, C; Dunning, AM; Burnet, N; Mucci, L; Giovannucci, E; Andriole, G; Cussenot, O; Cancel-Tassin, G; Koutros, S; Freeman, LEB; Sorensen, KD; Orntoft, TF; Borre, M; Maehle, L; Grindedal, EM; Neal, DE; Donovan, JL; Hamdy, FC; Martin, RM; Travis, RC; Key, TJ; Hamilton, RJ; Fleshner, NE; Finelli, A; Ingles, SA; Stern, MC; Rosenstein, B; Kerns, S; Ostrer, H; Lu, Y-J; Zhang, H-W; Feng, N; Mao, X; Guo, X; Wang, G; Sun, Z; Giles, GG; Southey, MC; MacInnis, RJ; FitzGerald, LM; Kibel, AS; Drake, BF; Vega, A; Gómez-Caamaño, A; Fachal, L; Szulkin, R; Eklund, M; Kogevinas, M; Llorca, J; Castaño-Vinyals, G; Penney, KL; Stampfer, M; Park, JY; Sellers, TA; Lin, H-Y; Stanford, JL; Cybulski, C; Wokolorczyk, D; Lubinski, J; Ostrander, EA; Geybels, MS; Nordestgaard, BG; Nielsen, SF; Weisher, M; Bisbjerg, R; Røder, MA; Iversen, P; Brenner, H; Cuk, K; Holleczek, B; Maier, C; Luedeke, M; Schnoeller, T; Kim, J; Logothetis, CJ; John, EM; Teixeira, MR; Paulo, P; Cardoso, M; Neuhausen, SL; Steele, L; Ding, YC; De Ruyck, K; De Meerleer, G; Ost, P; Razack, A; Lim, J; Teo, S-H; Lin, DW; Newcomb, LF; Lessel, D; Gamulin, M; Kulis, T; Kaneva, R; Usmani, N; Slavov, C; Mitev, V; Parliament, M; Singhal, S; Claessens, F; Joniau, S; Van den Broeck, T; Larkin, S; Townsend, PA; Aukim-Hastie, C; Gago-Dominguez, M; Castelao, JE; Martinez, ME; Roobol, MJ; Jenster, G; van Schaik, RHN; Menegaux, F; Truong, T; Koudou, YA; Xu, J; Khaw, K-T; Cannon-Albright, L; Pandha, H; Michael, A; Kierzek, A; Thibodeau, SN; McDonnell, SK; Schaid, DJ; Lindstrom, S; Turman, C; Ma, J; Hunter, DJ; Riboli, E; Siddiq, A; Canzian, F; Kolonel, LN; Le Marchand, L; Hoover, RN; Machiela, MJ; Kraft, P; PRACTICAL (Prostate Cancer Association Group to Investigate Cancer-Associated Alterations in the Genome) Consortium; Freedman, M; Wiklund, F; Chanock, S; Henderson, BE; Easton, DF; Haiman, CA; Eeles, RA; Conti, DV; Kote-Jarai, Z (2018-06-11)
      Prostate cancer is a polygenic disease with a large heritable component. A number of common, low-penetrance prostate cancer risk loci have been identified through GWAS. Here we apply the Bayesian multivariate variable ...
    • Genetic correlation between multiple myeloma and chronic lymphocytic leukaemia provides evidence for shared aetiology. 

      Went, M; Sud, A; Speedy, H; Sunter, NJ; Försti, A; Law, PJ; Johnson, DC; Mirabella, F; Holroyd, A; Li, N; Orlando, G; Weinhold, N; van Duin, M; Chen, B; Mitchell, JS; Mansouri, L; Juliusson, G; Smedby, KE; Jayne, S; Majid, A; Dearden, C; Allsup, DJ; Bailey, JR; Pratt, G; Pepper, C; Fegan, C; Rosenquist, R; Kuiper, R; Stephens, OW; Bertsch, U; Broderick, P; Einsele, H; Gregory, WM; Hillengass, J; Hoffmann, P; Jackson, GH; Jöckel, K-H; Nickel, J; Nöthen, MM; da Silva Filho, MI; Thomsen, H; Walker, BA; Broyl, A; Davies, FE; Hansson, M; Goldschmidt, H; Dyer, MJS; Kaiser, M; Sonneveld, P; Morgan, GJ; Hemminki, K; Nilsson, B; Catovsky, D; Allan, JM; Houlston, RS (2018-12-21)
      The clustering of different types of B-cell malignancies in families raises the possibility of shared aetiology. To examine this, we performed cross-trait linkage disequilibrium (LD)-score regression of multiple myeloma ...
    • Genome-wide association study of glioma subtypes identifies specific differences in genetic susceptibility to glioblastoma and non-glioblastoma tumors. 

      Melin, BS; Barnholtz-Sloan, JS; Wrensch, MR; Johansen, C; Il'yasova, D; Kinnersley, B; Ostrom, QT; Labreche, K; Chen, Y; Armstrong, G; Liu, Y; Eckel-Passow, JE; Decker, PA; Labussière, M; Idbaih, A; Hoang-Xuan, K; Di Stefano, A-L; Mokhtari, K; Delattre, J-Y; Broderick, P; Galan, P; Gousias, K; Schramm, J; Schoemaker, MJ; Fleming, SJ; Herms, S; Heilmann, S; Nöthen, MM; Wichmann, H-E; Schreiber, S; Swerdlow, A; Lathrop, M; Simon, M; Sanson, M; Andersson, U; Rajaraman, P; Chanock, S; Linet, M; Wang, Z; Yeager, M; GliomaScan Consortium; Wiencke, JK; Hansen, H; McCoy, L; Rice, T; Kosel, ML; Sicotte, H; Amos, CI; Bernstein, JL; Davis, F; Lachance, D; Lau, C; Merrell, RT; Shildkraut, J; Ali-Osman, F; Sadetzki, S; Scheurer, M; Shete, S; Lai, RK; Claus, EB; Olson, SH; Jenkins, RB; Houlston, RS; Bondy, ML (2017-05)
      Genome-wide association studies (GWAS) have transformed our understanding of glioma susceptibility, but individual studies have had limited power to identify risk loci. We performed a meta-analysis of existing GWAS and two ...
    • Identification of multiple risk loci and regulatory mechanisms influencing susceptibility to multiple myeloma. 

      Went, M; Sud, A; Försti, A; Halvarsson, B-M; Weinhold, N; Kimber, S; van Duin, M; Thorleifsson, G; Holroyd, A; Johnson, DC; Li, N; Orlando, G; Law, PJ; Ali, M; Chen, B; Mitchell, JS; Gudbjartsson, DF; Kuiper, R; Stephens, OW; Bertsch, U; Broderick, P; Campo, C; Bandapalli, OR; Einsele, H; Gregory, WA; Gullberg, U; Hillengass, J; Hoffmann, P; Jackson, GH; Jöckel, K-H; Johnsson, E; Kristinsson, SY; Mellqvist, U-H; Nahi, H; Easton, D; Pharoah, P; Dunning, A; Peto, J; Canzian, F; Swerdlow, A; Eeles, RA; Kote-Jarai, Z; Muir, K; Pashayan, N; Nickel, J; Nöthen, MM; Rafnar, T; Ross, FM; da Silva Filho, MI; Thomsen, H; Turesson, I; Vangsted, A; Andersen, NF; Waage, A; Walker, BA; Wihlborg, A-K; Broyl, A; Davies, FE; Thorsteinsdottir, U; Langer, C; Hansson, M; Goldschmidt, H; Kaiser, M; Sonneveld, P; Stefansson, K; Morgan, GJ; Hemminki, K; Nilsson, B; Houlston, RS; PRACTICAL consortium (2018-09-13)
      Genome-wide association studies (GWAS) have transformed our understanding of susceptibility to multiple myeloma (MM), but much of the heritability remains unexplained. We report a new GWAS, a meta-analysis with previous ...
    • Identification of nine new susceptibility loci for endometrial cancer. 

      O'Mara, TA; Glubb, DM; Amant, F; Annibali, D; Ashton, K; Attia, J; Auer, PL; Beckmann, MW; Black, A; Bolla, MK; Brauch, H; Brenner, H; Brinton, L; Buchanan, DD; Burwinkel, B; Chang-Claude, J; Chanock, SJ; Chen, C; Chen, MM; Cheng, THT; Clarke, CL; Clendenning, M; Cook, LS; Couch, FJ; Cox, A; Crous-Bous, M; Czene, K; Day, F; Dennis, J; Depreeuw, J; Doherty, JA; Dörk, T; Dowdy, SC; Dürst, M; Ekici, AB; Fasching, PA; Fridley, BL; Friedenreich, CM; Fritschi, L; Fung, J; García-Closas, M; Gaudet, MM; Giles, GG; Goode, EL; Gorman, M; Haiman, CA; Hall, P; Hankison, SE; Healey, CS; Hein, A; Hillemanns, P; Hodgson, S; Hoivik, EA; Holliday, EG; Hopper, JL; Hunter, DJ; Jones, A; Krakstad, C; Kristensen, VN; Lambrechts, D; Marchand, LL; Liang, X; Lindblom, A; Lissowska, J; Long, J; Lu, L; Magliocco, AM; Martin, L; McEvoy, M; Meindl, A; Michailidou, K; Milne, RL; Mints, M; Montgomery, GW; Nassir, R; Olsson, H; Orlow, I; Otton, G; Palles, C; Perry, JRB; Peto, J; Pooler, L; Prescott, J; Proietto, T; Rebbeck, TR; Risch, HA; Rogers, PAW; Rübner, M; Runnebaum, I; Sacerdote, C; Sarto, GE; Schumacher, F; Scott, RJ; Setiawan, VW; Shah, M; Sheng, X; Shu, X-O; Southey, MC; Swerdlow, AJ; Tham, E; Trovik, J; Turman, C; Tyrer, JP; Vachon, C; VanDen Berg, D; Vanderstichele, A; Wang, Z; Webb, PM; Wentzensen, N; Werner, HMJ; Winham, SJ; Wolk, A; Xia, L; Xiang, Y-B; Yang, HP; Yu, H; Zheng, W; Pharoah, PDP; Dunning, AM; Kraft, P; De Vivo, I; Tomlinson, I; Easton, DF; Spurdle, AB; Thompson, DJ (2018-08-09)
      Endometrial cancer is the most commonly diagnosed cancer of the female reproductive tract in developed countries. Through genome-wide association studies (GWAS), we have previously identified eight risk loci for endometrial ...
    • Multiple myeloma risk variant at 7p15.3 creates an IRF4-binding site and interferes with CDCA7L expression. 

      Li, N; Johnson, DC; Weinhold, N; Studd, JB; Orlando, G; Mirabella, F; Mitchell, JS; Meissner, T; Kaiser, M; Goldschmidt, H; Hemminki, K; Morgan, GJ; Houlston, RS (2016-11-24)
      Genome-wide association studies have identified several risk loci for multiple myeloma (MM); however, the mechanisms by which they influence MM are unknown. Here by using genetic association data and functional characterization, ...
    • Prostate cancer risk regions at 8q24 and 17q24 are differentially associated with somatic TMPRSS2:ERG fusion status. 

      Luedeke, M; Rinckleb, AE; FitzGerald, LM; Geybels, MS; Schleutker, J; Eeles, RA; Teixeira, MR; Cannon-Albright, L; Ostrander, EA; Weikert, S; Herkommer, K; Wahlfors, T; Visakorpi, T; Leinonen, KA; Tammela, TLJ; Cooper, CS; Kote-Jarai, Z; Edwards, S; Goh, CL; McCarthy, F; Parker, C; Flohr, P; Paulo, P; Jerónimo, C; Henrique, R; Krause, H; Wach, S; Lieb, V; Rau, TT; Vogel, W; Kuefer, R; Hofer, MD; Perner, S; Rubin, MA; Agarwal, AM; Easton, DF; Al Olama, AA; Benlloch, S; PRACTICAL consortium; Hoegel, J; Stanford, JL; Maier, C (2016-12-15)
      Molecular and epidemiological differences have been described between TMPRSS2:ERG fusion-positive and fusion-negative prostate cancer (PrCa). Assuming two molecularly distinct subtypes, we have examined 27 common PrCa risk ...
    • Susceptibility loci of CNOT6 in the general mRNA degradation pathway and lung cancer risk-A re-analysis of eight GWASs. 

      Zhou, F; Wang, Y; Liu, H; Ready, N; Han, Y; Hung, RJ; Brhane, Y; McLaughlin, J; Brennan, P; Bickeböller, H; Rosenberger, A; Houlston, RS; Caporaso, N; Landi, MT; Brüske, I; Risch, A; Ye, Y; Wu, X; Christiani, DC; Goodman, G; Chen, C; Transdisciplinary Research in Cancer of the Lung (TRICL) Research Team; Amos, CI; Wei, Q (2017-04)
      PURPOSE: mRNA degradation is an important regulatory step for controlling gene expression and cell functions. Genetic abnormalities involved in mRNA degradation genes were found to be associated with cancer risks. Therefore, ...