@article{MitchellLiWeinholdetal.2016,
  author    = {Mitchell, Jonathan S. and Li, Ni and Weinhold, Niels and F{\"o}rsti, Asta and Ali, Mina and van Duin, Mark and Thorleifsson, Gudmar and Johnson, David C. and Chen, Bowang and Halvarsson, Britt-Marie and Gudbjartsson, Daniel F. and Kuiper, Rowan and Stephens, Owen W. and Bertsch, Uta and Broderick, Peter and Campo, Chiara and Einsele, Hermann and Gregory, Walter A. and Gullberg, Urban and Henrion, Marc and Hillengass, Jens and Hoffmann, Per and Jackson, Graham H. and Johnsson, Ellinor and J{\"o}ud, Magnus and Kristinsson, Sigurdur Y. and Lenhoff, Stig and Lenive, Oleg and Mellqvist, Ulf-Henrik and Migliorini, Gabriele and Nahi, Hareth and Nelander, Sven and Nickel, Jolanta and N{\"o}then, Markus M. and Rafnar, Thorunn and Ross, Fiona M. and da Silva Filho, Miguel Inacio and Swaminathan, Bhairavi and Thomsen, Hauke and Turesson, Ingemar and Vangsted, Annette and Vogel, Ulla and Waage, Anders and Walker, Brian A. and Wihlborg, Anna-Karin and Broyl, Annemiek and Davies, Faith E. and Thorsteinsdottir, Unnur and Langer, Christian and Hansson, Markus and Kaiser, Martin and Sonneveld, Pieter and Stefansson, Kari and Morgan, Gareth J. and Goldschmidt, Hartmut and Hemminki, Kari and Nilsson, Bj{\"o}rn and Houlston, Richard S.},
  title     = {Genome-wide association study identifies multiple susceptibility loci for multiple myeloma},
  series = {Nature Communications},
  volume    = {7},
  journal   = {Nature Communications},
  doi       = {10.1038/ncomms12050},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-165983},
  pages     = {12050},
  year      = {2016},
  abstract  = {Multiple myeloma (MM) is a plasma cell malignancy with a significant heritable basis. Genome-wide association studies have transformed our understanding of MM predisposition, but individual studies have had limited power to discover risk loci. Here we perform a meta-analysis of these GWAS, add a new GWAS and perform replication analyses resulting in 9,866 cases and 239,188 controls. We confirm all nine known risk loci and discover eight new loci at 6p22.3 (rs34229995, P=1.31 × 10-8), 6q21 (rs9372120, P=9.09 × 10-15), 7q36.1 (rs7781265, P=9.71 × 10-9), 8q24.21 (rs1948915, P=4.20 × 10-11), 9p21.3 (rs2811710, P=1.72 × 10-13), 10p12.1 (rs2790457, P=1.77 × 10-8), 16q23.1 (rs7193541, P=5.00 × 10-12) and 20q13.13 (rs6066835, P=1.36 × 10-13), which localize in or near to JARID2, ATG5, SMARCD3, CCAT1, CDKN2A, WAC, RFWD3 and PREX1. These findings provide additional support for a polygenic model of MM and insight into the biological basis of tumour development.},
  language  = {en}
}
@article{WestburyTurroGreeneetal.2015,
  author    = {Westbury, Sarah K and Turro, Ernest and Greene, Daniel and Lentaigne, Claire and Kelly, Anne M and Bariana, Tadbir K and Simeoni, Ilenia and Pillois, Xavier and Attwood, Antony and Austin, Steve and Jansen, Sjoert BG and Bakchoul, Tamam and Crisp-Hihn, Abi and Erber, Wendy N and Favier, R{\´e}mi and Foad, Nicola and Gattens, Michael and Jolley, Jennifer D and Liesner, Ri and Meacham, Stuart and Millar, Carolyn M and Nurden, Alan T and Peerlinck, Kathelijne and Perry, David J and Poudel, Pawan and Schulman, Sol and Schulze, Harald and Stephens, Jonathan C and Furie, Bruce and Robinson, Peter N and van Geet, Chris and Rendon, Augusto and Gomez, Keith and Laffan, Michael A and Lambert, Michele P and Nurden, Paquita and Ouwehand, Willem H and Richardson, Sylvia and Mumford, Andrew D and Freson, Kathleen},
  title     = {Human phenotype ontology annotation and cluster analysis to unravel genetic defects in 707 cases with unexplained bleeding and platelet disorders},
  series = {Genome Medicine},
  volume    = {7},
  journal   = {Genome Medicine},
  number    = {36},
  doi       = {10.1186/s13073-015-0151-5},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-143329},
  year      = {2015},
  abstract  = {Background: Heritable bleeding and platelet disorders (BPD) are heterogeneous and frequently have an unknown genetic basis. The BRIDGE-BPD study aims to discover new causal genes for BPD by high throughput sequencing using cluster analyses based on improved and standardised deep, multi-system phenotyping of cases. Methods: We report a new approach in which the clinical and laboratory characteristics of BPD cases are annotated with adapted Human Phenotype Ontology (HPO) terms. Cluster analyses are then used to characterise groups of cases with similar HPO terms and variants in the same genes. Results: We show that 60\% of index cases with heritable BPD enrolled at 10 European or US centres were annotated with HPO terms indicating abnormalities in organ systems other than blood or blood-forming tissues, particularly the nervous system. Cases within pedigrees clustered closely together on the bases of their HPO-coded phenotypes, as did cases sharing several clinically suspected syndromic disorders. Cases subsequently found to harbour variants in ACTN1 also clustered closely, even though diagnosis of this recently described disorder was not possible using only the clinical and laboratory data available to the enrolling clinician. Conclusions: These findings validate our novel HPO-based phenotype clustering methodology for known BPD, thus providing a new discovery tool for BPD of unknown genetic basis. This approach will also be relevant for other rare diseases with significant genetic heterogeneity.},
  language  = {en}
}
@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}
}