TY  - JOUR
A1  - Went, Molly
A1  - Sud, Amit
A1  - Speedy, Helen
A1  - Sunter, Nicola J.
A1  - Försti, Asta
A1  - Law, Philip J.
A1  - Johnson, David C.
A1  - Mirabella, Fabio
A1  - Holroyd, Amy
A1  - Li, Ni
A1  - Orlando, Giulia
A1  - Weinhold, Niels
A1  - van Duin, Mark
A1  - Chen, Bowang
A1  - Mitchell, Jonathan S.
A1  - Mansouri, Larry
A1  - Juliusson, Gunnar
A1  - Smedby, Karin E
A1  - Jayne, Sandrine
A1  - Majid, Aneela
A1  - Dearden, Claire
A1  - Allsup, David J.
A1  - Bailey, James R.
A1  - Pratt, Guy
A1  - Pepper, Chris
A1  - Fegan, Chris
A1  - Rosenquist, Richard
A1  - Kuiper, Rowan
A1  - Stephens, Owen W.
A1  - Bertsch, Uta
A1  - Broderick, Peter
A1  - Einsele, Hermann
A1  - Gregory, Walter M.
A1  - Hillengass, Jens
A1  - Hoffmann, Per
A1  - Jackson, Graham H.
A1  - Jöckel, Karl-Heinz
A1  - Nickel, Jolanta
A1  - Nöthen, Markus M.
A1  - da Silva Filho, Miguel Inacio
A1  - Thomsen, Hauke
A1  - Walker, Brian A.
A1  - Broyl, Annemiek
A1  - Davies, Faith E.
A1  - Hansson, Markus
A1  - Goldschmidt, Hartmut
A1  - Dyer, Martin J. S.
A1  - Kaiser, Martin
A1  - Sonneveld, Pieter
A1  - Morgan, Gareth J.
A1  - Hemminki, Kari
A1  - Nilsson, Björn
A1  - Catovsky, Daniel
A1  - Allan, James M.
A1  - Houlston, Richard S.
T1  - Genetic correlation between multiple myeloma and chronic lymphocytic leukaemia provides evidence for shared aetiology
JF  - Blood Cancer Journal
N2  - 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 (MM) and chronic lymphocytic leukaemia (CLL) genome-wide association study (GWAS) data sets, totalling 11,734 cases and 29,468 controls. A significant genetic correlation between these two B-cell malignancies was shown (Rg = 0.4, P = 0.0046). Furthermore, four of the 45 known CLL risk loci were shown to associate with MM risk and five of the 23 known MM risk loci associate with CLL risk. By integrating eQTL, Hi-C and ChIP-seq data, we show that these pleiotropic risk loci are enriched for B-cell regulatory elements and implicate B-cell developmental genes. These data identify shared biological pathways influencing the development of CLL and, MM and further our understanding of the aetiological basis of these B-cell malignancies.
KW  - cancer genetics
KW  - myeloma
Y1  - 2018
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-233627
VL  - 9
ER  - 
TY  - JOUR
A1  - Andersen, Jens Peter
A1  - Bøgsted, Martin
A1  - Dybkær, Karen
A1  - Mellqvist, Ulf-Henrik
A1  - Morgan, Gareth J.
A1  - Goldschmidt, Hartmut
A1  - Dimopoulos, Meletios A.
A1  - Einsele, Hermann
A1  - San Miguel, Jesús
A1  - Palumbo, Antonio
A1  - Sonneveld, Pieter
A1  - Johnsen, Hans Erik
T1  - Global myeloma research clusters, output, and citations: a bibliometric mapping and clustering analysis
JF  - PLoS ONE
N2  - Background 
International collaborative research is a mechanism for improving the development of disease-specific therapies and for improving health at the population level. However, limited data are available to assess the trends in research output related to orphan diseases.
 
Methods and Findings 
We used bibliometric mapping and clustering methods to illustrate the level of fragmentation in myeloma research and the development of collaborative efforts. Publication data from Thomson Reuters Web of Science were retrieved for 2005-2009 and followed until 2013. We created a database of multiple myeloma publications, and we analysed impact and co-authorship density to identify scientific collaborations, developments, and international key players over time. The global annual publication volume for studies on multiple myeloma increased from 1,144 in 2005 to 1,628 in 2009, which represents a 43% increase. This increase is high compared to the 24% and 14% increases observed for lymphoma and leukaemia. The major proportion (> 90% of publications) was from the US and EU over the study period. The output and impact in terms of citations, identified several successful groups with a large number of intra-cluster collaborations in the US and EU. The US-based myeloma clusters clearly stand out as the most productive and highly cited, and the European Myeloma Network members exhibited a doubling of collaborative publications from 2005 to 2009, still increasing up to 2013. 

Conclusion and Perspective 
Multiple myeloma research output has increased substantially in the past decade. The fragmented European myeloma research activities based on national or regional groups are progressing, but they require a broad range of targeted research investments to improve multiple myeloma health care.
KW  - multiparametric flow cytometry
KW  - multiple myeloma
KW  - consensus statement
KW  - European experts
KW  - disorders
KW  - therapy
KW  - network
Y1  - 2015
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-144214
VL  - 10
IS  - 1
ER  -