Now showing items 1-10 of 10

    • 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)
    • Deciphering genetic susceptibility to multiple myeloma 

      Went, M (2020-09-30)
      Multiple myeloma (MM) is a malignancy characterised by the clonal expansion of plasma cells primarily from the bone marrow. The two- to four-fold increased risk observed in relatives of MM patients provides support for ...
    • 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 ...
    • Genetic predisposition for multiple myeloma. 

      Pertesi, M; Went, M; Hansson, M; Hemminki, K; Houlston, RS; Nilsson, B (2020-03)
      Multiple myeloma (MM) is the second most common blood malignancy. Epidemiological family studies going back to the 1920s have provided evidence for familial aggregation, suggesting a subset of cases have an inherited genetic ...
    • Genetic Predisposition to Multiple Myeloma at 5q15 Is Mediated by an ELL2 Enhancer Polymorphism. 

      Li, N; Johnson, DC; Weinhold, N; Kimber, S; Dobbins, SE; Mitchell, JS; Kinnersley, B; Sud, A; Law, PJ; Orlando, G; Scales, M; Wardell, CP; Försti, A; Hoang, PH; Went, M; Holroyd, A; Hariri, F; Pastinen, T; Meissner, T; Goldschmidt, H; Hemminki, K; Morgan, GJ; Kaiser, M; Houlston, RS (2017-09)
      Multiple myeloma (MM) is a malignancy of plasma cells. Genome-wide association studies have shown that variation at 5q15 influences MM risk. Here, we have sought to decipher the causal variant at 5q15 and the mechanism by ...
    • A genome-wide association study identifies susceptibility loci for primary central nervous system lymphoma at 6p25.3 and 3p22.1: a LOC network study. 

      Labreche, K; Daniau, M; Sud, A; Law, PJ; Royer-Perron, L; Holroyd, A; Broderick, P; Went, M; Benazra, M; Ahle, G; Soubeyran, P; Taillandier, L; Chinot, OL; Casasnovas, O; Bay, J-O; Jardin, F; Oberic, L; Fabbro, M; Damaj, G; Brion, A; Mokhtari, K; Philippe, C; Sanson, M; Houillier, C; Soussain, C; Hoang-Xuan, K; Houlston, RS; Alentorn, A; LOC Network (2019-05-17)
      <h4>Background</h4>Primary central nervous system lymphoma (PCNSL) is a rare form of extra-nodal non-Hodgkin lymphoma. PCNSL is a distinct subtype of non-Hodgkin lymphoma, with over 95% of tumors belonging to the diffuse ...
    • 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 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 ...
    • Search for multiple myeloma risk factors using Mendelian randomization. 

      Went, M; Cornish, AJ; Law, PJ; Kinnersley, B; van Duin, M; Weinhold, N; Försti, A; Hansson, M; Sonneveld, P; Goldschmidt, H; Morgan, GJ; Hemminki, K; Nilsson, B; Kaiser, M; Houlston, RS (2020-05)
      The etiology of multiple myeloma (MM) is poorly understood. Summary data from genome-wide association studies (GWASs) of multiple phenotypes can be exploited in a Mendelian randomization (MR) phenome-wide association study ...
    • Transcriptome-wide association study of multiple myeloma identifies candidate susceptibility genes. 

      Went, M; Kinnersley, B; Sud, A; Johnson, DC; Weinhold, N; Försti, A; van Duin, M; Orlando, G; Mitchell, JS; Kuiper, R; Walker, BA; Gregory, WM; Hoffmann, P; Jackson, GH; Nöthen, MM; da Silva Filho, MI; Thomsen, H; Broyl, A; Davies, FE; Thorsteinsdottir, U; Hansson, M; Kaiser, M; Sonneveld, P; Goldschmidt, H; Stefansson, K; Hemminki, K; Nilsson, B; Morgan, GJ; Houlston, RS (2019-08-20)
      <h4>Background</h4>While genome-wide association studies (GWAS) of multiple myeloma (MM) have identified variants at 23 regions influencing risk, the genes underlying these associations are largely unknown. To identify ...