@article{WentSudSpeedyetal.2018, author = {Went, Molly and Sud, Amit and Speedy, Helen and Sunter, Nicola J. and F{\"o}rsti, Asta and Law, Philip J. and Johnson, David C. and Mirabella, Fabio and Holroyd, Amy and Li, Ni and Orlando, Giulia and Weinhold, Niels and van Duin, Mark and Chen, Bowang and Mitchell, Jonathan S. and Mansouri, Larry and Juliusson, Gunnar and Smedby, Karin E and Jayne, Sandrine and Majid, Aneela and Dearden, Claire and Allsup, David J. and Bailey, James R. and Pratt, Guy and Pepper, Chris and Fegan, Chris and Rosenquist, Richard and Kuiper, Rowan and Stephens, Owen W. and Bertsch, Uta and Broderick, Peter and Einsele, Hermann and Gregory, Walter M. and Hillengass, Jens and Hoffmann, Per and Jackson, Graham H. and J{\"o}ckel, Karl-Heinz and Nickel, Jolanta and N{\"o}then, Markus M. and da Silva Filho, Miguel Inacio and Thomsen, Hauke and Walker, Brian A. and Broyl, Annemiek and Davies, Faith E. and Hansson, Markus and Goldschmidt, Hartmut and Dyer, Martin J. S. and Kaiser, Martin and Sonneveld, Pieter and Morgan, Gareth J. and Hemminki, Kari and Nilsson, Bj{\"o}rn and Catovsky, Daniel and Allan, James M. and Houlston, Richard S.}, title = {Genetic correlation between multiple myeloma and chronic lymphocytic leukaemia provides evidence for shared aetiology}, series = {Blood Cancer Journal}, volume = {9}, journal = {Blood Cancer Journal}, doi = {10.1038/s41408-018-0162-8}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-233627}, year = {2018}, abstract = {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.}, language = {en} } @article{AndersenBogstedDybkaretal.2015, author = {Andersen, Jens Peter and B{\o}gsted, Martin and Dybk{\ae}r, Karen and Mellqvist, Ulf-Henrik and Morgan, Gareth J. and Goldschmidt, Hartmut and Dimopoulos, Meletios A. and Einsele, Hermann and San Miguel, Jes{\´u}s and Palumbo, Antonio and Sonneveld, Pieter and Johnsen, Hans Erik}, title = {Global myeloma research clusters, output, and citations: a bibliometric mapping and clustering analysis}, series = {PLoS ONE}, volume = {10}, journal = {PLoS ONE}, number = {1}, doi = {10.1371/journal.pone.0116966}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-144214}, pages = {e0116966}, year = {2015}, abstract = {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.}, language = {en} }