@article{BousquetFarrellCrooksetal.2016, author = {Bousquet, J. and Farrell, J. and Crooks, G. and Hellings, P. and Bel, E. H. and Bewick, M. and Chavannes, N. H. and Correia de Sousa, J. and Cruz, A. A. and Haahtela, T. and Joos, G. and Khaltaev, N. and Malva, J. and Muraro, A. and Nogues, M. and Palkonen, S. and Pedersen, S. and Robalo-Cordeiro, C. and Samolinski, B. and Strandberg, T. and Valiulis, A. and Yorgancioglu, A. and Zuberbier, T. and Bedbrook, A. and Aberer, W. and Adachi, M. and Agusti, A. and Akdis, C. A. and Akdis, M. and Ankri, J. and Alonso, A. and Annesi-Maesano, I. and Ansotegui, I. J. and Anto, J. M. and Arnavielhe, S. and Arshad, H. and Bai, C. and Baiardini, I. and Bachert, C. and Baigenzhin, A. K. and Barbara, C. and Bateman, E. D. and Begh{\´e}, B. and Ben Kheder, A. and Bennoor, K. S. and Benson, M. and Bergmann, K. C. and Bieber, T. and Bindslev-Jensen, C. and Bjermer, L. and Blain, H. and Blasi, F. and Boner, A. L. and Bonini, M. and Bonini, S. and Bosnic-Anticevitch, S. and Boulet, L. P. and Bourret, R. and Bousquet, P. J. and Braido, F. and Briggs, A. H. and Brightling, C. E. and Brozek, J. and Buhl, R. and Burney, P. G. and Bush, A. and Caballero-Fonseca, F. and Caimmi, D. and Calderon, M. A. and Calverley, P. M. and Camargos, P. A. M. and Canonica, G. W. and Camuzat, T. and Carlsen, K. H. and Carr, W. and Carriazo, A. and Casale, T. and Cepeda Sarabia, A. M. and Chatzi, L. and Chen, Y. Z. and Chiron, R. and Chkhartishvili, E. and Chuchalin, A. G. and Chung, K. F. and Ciprandi, G. and Cirule, I. and Cox, L. and Costa, D. J. and Custovic, A. and Dahl, R. and Dahlen, S. E. and Darsow, U. and De Carlo, G. and De Blay, F. and Dedeu, T. and Deleanu, D. and De Manuel Keenoy, E. and Demoly, P. and Denburg, J. A. and Devillier, P. and Didier, A. and Dinh-Xuan, A. T. and Djukanovic, R. and Dokic, D. and Douagui, H. and Dray, G. and Dubakiene, R. and Durham, S. R. and Dykewicz, M. S. and El-Gamal, Y. and Emuzyte, R. and Fabbri, L. M. and Fletcher, M. and Fiocchi, A. and Fink Wagner, A. and Fonseca, J. and Fokkens, W. J. and Forastiere, F. and Frith, P. and Gaga, M. and Gamkrelidze, A. and Garces, J. and Garcia-Aymerich, J. and Gemicioğlu, B. and Gereda, J. E. and Gonz{\´a}lez Diaz, S. and Gotua, M. and Grisle, I. and Grouse, L. and Gutter, Z. and Guzm{\´a}n, M. A. and Heaney, L. G. and Hellquist-Dahl, B. and Henderson, D. and Hendry, A. and Heinrich, J. and Heve, D. and Horak, F. and Hourihane, J. O'. B. and Howarth, P. and Humbert, M. and Hyland, M. E. and Illario, M. and Ivancevich, J. C. and Jardim, J. R. and Jares, E. J. and Jeandel, C. and Jenkins, C. and Johnston, S. L. and Jonquet, O. and Julge, K. and Jung, K. S. and Just, J. and Kaidashev, I. and Kaitov, M. R. and Kalayci, O. and Kalyoncu, A. F. and Keil, T. and Keith, P. K. and Klimek, L. and Koffi N'Goran, B. and Kolek, V. and Koppelman, G. H. and Kowalski, M. L. and Kull, I. and Kuna, P. and Kvedariene, V. and Lambrecht, B. and Lau, S. and Larenas‑Linnemann, D. and Laune, D. and Le, L. T. T. and Lieberman, P. and Lipworth, B. and Li, J. and Lodrup Carlsen, K. and Louis, R. and MacNee, W. and Magard, Y. and Magnan, A. and Mahboub, B. and Mair, A. and Majer, I. and Makela, M. J. and Manning, P. and Mara, S. and Marshall, G. D. and Masjedi, M. R. and Matignon, P. and Maurer, M. and Mavale‑Manuel, S. and Mel{\´e}n, E. and Melo‑Gomes, E. and Meltzer, E. O. and Menzies‑Gow, A. and Merk, H. and Michel, J. P. and Miculinic, N. and Mihaltan, F. and Milenkovic, B. and Mohammad, G. M. Y. and Molimard, M. and Momas, I. and Montilla‑Santana, A. and Morais‑Almeida, M. and Morgan, M. and M{\"o}sges, R. and Mullol, J. and Nafti, S. and Namazova‑Baranova, L. and Naclerio, R. and Neou, A. and Neffen, H. and Nekam, K. and Niggemann, B. and Ninot, G. and Nyembue, T. D. and O'Hehir, R. E. and Ohta, K. and Okamoto, Y. and Okubo, K. and Ouedraogo, S. and Paggiaro, P. and Pali‑Sch{\"o}ll, I. and Panzner, P. and Papadopoulos, N. and Papi, A. and Park, H. S. and Passalacqua, G. and Pavord, I. and Pawankar, R. and Pengelly, R. and Pfaar, O. and Picard, R. and Pigearias, B. and Pin, I. and Plavec, D. and Poethig, D. and Pohl, W. and Popov, T. A. and Portejoie, F. and Potter, P. and Postma, D. and Price, D. and Rabe, K. F. and Raciborski, F. and Radier Pontal, F. and Repka‑Ramirez, S. and Reitamo, S. and Rennard, S. and Rodenas, F. and Roberts, J. and Roca, J. and Rodriguez Ma{\~n}as, L. and et al,}, title = {Scaling up strategies of the chronic respiratory disease programme of the European Innovation Partnership on Active and Healthy Ageing (Action Plan B3: Area 5)}, series = {Clinical and Translational Allergy}, volume = {6}, journal = {Clinical and Translational Allergy}, number = {29}, doi = {10.1186/s13601-016-0116-9}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-166874}, year = {2016}, abstract = {Action Plan B3 of the European Innovation Partnership on Active and Healthy Ageing (EIP on AHA) focuses on the integrated care of chronic diseases. Area 5 (Care Pathways) was initiated using chronic respiratory diseases as a model. The chronic respiratory disease action plan includes (1) AIRWAYS integrated care pathways (ICPs), (2) the joint initiative between the Reference site MACVIA-LR (Contre les MAladies Chroniques pour un VIeillissement Actif) and ARIA (Allergic Rhinitis and its Impact on Asthma), (3) Commitments for Action to the European Innovation Partnership on Active and Healthy Ageing and the AIRWAYS ICPs network. It is deployed in collaboration with the World Health Organization Global Alliance against Chronic Respiratory Diseases (GARD). The European Innovation Partnership on Active and Healthy Ageing has proposed a 5-step framework for developing an individual scaling up strategy: (1) what to scale up: (1-a) databases of good practices, (1-b) assessment of viability of the scaling up of good practices, (1-c) classification of good practices for local replication and (2) how to scale up: (2-a) facilitating partnerships for scaling up, (2-b) implementation of key success factors and lessons learnt, including emerging technologies for individualised and predictive medicine. This strategy has already been applied to the chronic respiratory disease action plan of the European Innovation Partnership on Active and Healthy Ageing.}, language = {en} } @article{HudsonNewboldContuetal.2014, author = {Hudson, Lawrence N. and Newbold, Tim and Contu, Sara and Hill, Samantha L. L. and Lysenko, Igor and De Palma, Adriana and Phillips, Helen R. P. and Senior, Rebecca A. and Bennett, Dominic J. and Booth, Hollie and Choimes, Argyrios and Correia, David L. P. and Day, Julie and Echeverria-Londono, Susy and Garon, Morgan and Harrison, Michelle L. K. and Ingram, Daniel J. and Jung, Martin and Kemp, Victoria and Kirkpatrick, Lucinda and Martin, Callum D. and Pan, Yuan and White, Hannah J. and Aben, Job and Abrahamczyk, Stefan and Adum, Gilbert B. and Aguilar-Barquero, Virginia and Aizen, Marcelo and Ancrenaz, Marc and Arbelaez-Cortes, Enrique and Armbrecht, Inge and Azhar, Badrul and Azpiroz, Adrian B. and Baeten, Lander and B{\´a}ldi, Andr{\´a}s and Banks, John E. and Barlow, Jos and Bat{\´a}ry, P{\´e}ter and Bates, Adam J. and Bayne, Erin M. and Beja, Pedro and Berg, Ake and Berry, Nicholas J. and Bicknell, Jake E. and Bihn, Jochen H. and B{\"o}hning-Gaese, Katrin and Boekhout, Teun and Boutin, Celine and Bouyer, Jeremy and Brearley, Francis Q. and Brito, Isabel and Brunet, J{\"o}rg and Buczkowski, Grzegorz and Buscardo, Erika and Cabra-Garcia, Jimmy and Calvino-Cancela, Maria and Cameron, Sydney A. and Cancello, Eliana M. and Carrijo, Tiago F. and Carvalho, Anelena L. and Castro, Helena and Castro-Luna, Alejandro A. and Cerda, Rolando and Cerezo, Alexis and Chauvat, Matthieu and Clarke, Frank M. and Cleary, Daniel F. R. and Connop, Stuart P. and D'Aniello, Biagio and da Silva, Pedro Giovani and Darvill, Ben and Dauber, Jens and Dejean, Alain and Diek{\"o}tter, Tim and Dominguez-Haydar, Yamileth and Dormann, Carsten F. and Dumont, Bertrand and Dures, Simon G. and Dynesius, Mats and Edenius, Lars and Elek, Zolt{\´a}n and Entling, Martin H. and Farwig, Nina and Fayle, Tom M. and Felicioli, Antonio and Felton, Annika M. and Ficetola, Gentile F. and Filgueiras, Bruno K. C. and Fonte, Steve J. and Fraser, Lauchlan H. and Fukuda, Daisuke and Furlani, Dario and Ganzhorn, J{\"o}rg U. and Garden, Jenni G. and Gheler-Costa, Carla and Giordani, Paolo and Giordano, Simonetta and Gottschalk, Marco S. and Goulson, Dave and Gove, Aaron D. and Grogan, James and Hanley, Mick E. and Hanson, Thor and Hashim, Nor R. and Hawes, Joseph E. and H{\´e}bert, Christian and Helden, Alvin J. and Henden, John-Andr{\´e} and Hern{\´a}ndez, Lionel and Herzog, Felix and Higuera-Diaz, Diego and Hilje, Branko and Horgan, Finbarr G. and Horv{\´a}th, Roland and Hylander, Kristoffer and Horv{\´a}th, Roland and Isaacs-Cubides, Paola and Ishitani, Mashiro and Jacobs, Carmen T. and Jaramillo, Victor J. and Jauker, Birgit and Jonsell, Matts and Jung, Thomas S. and Kapoor, Vena and Kati, Vassiliki and Katovai, Eric and Kessler, Michael and Knop, Eva and Kolb, Annette and K{\"o}r{\"o}si, {\`A}d{\´a}m and Lachat, Thibault and Lantschner, Victoria and Le F{\´e}on, Violette and LeBuhn, Gretchen and L{\´e}gar{\´e}, Jean-Philippe and Letcher, Susan G. and Littlewood, Nick A. and L{\´o}pez-Quintero, Carlos A. and Louhaichi, Mounir and L{\"o}vei, Gabor L. and Lucas-Borja, Manuel Esteban and Luja, Victor H. and Maeto, Kaoru and Magura, Tibor and Mallari, Neil Aldrin and Marin-Spiotta, Erika and Marhall, E. J. P. and Mart{\´i}nez, Eliana and Mayfield, Margaret M. and Mikusinski, Gregorz and Milder, Jeffery C. and Miller, James R. and Morales, Carolina L. and Muchane, Mary N. and Muchane, Muchai and Naidoo, Robin and Nakamura, Akihiro and Naoe, Shoji and Nates-Parra, Guiomar and Navarerete Gutierrez, Dario A. and Neuschulz, Eike L. and Noreika, Norbertas and Norfolk, Olivia and Noriega, Jorge Ari and N{\"o}ske, Nicole M. and O'Dea, Niall and Oduro, William and Ofori-Boateng, Caleb and Oke, Chris O. and Osgathorpe, Lynne M. and Paritsis, Juan and Parrah, Alejandro and Pelegrin, Nicol{\´a}s and Peres, Carlos A. and Persson, Anna S. and Petanidou, Theodora and Phalan, Ben and Philips, T. Keith and Poveda, Katja and Power, Eileen F. and Presley, Steven J. and Proen{\c{c}}a, V{\^a}nia and Quaranta, Marino and Quintero, Carolina and Redpath-Downing, Nicola A. and Reid, J. Leighton and Reis, Yana T. and Ribeiro, Danilo B. and Richardson, Barbara A. and Richardson, Michael J. and Robles, Carolina A. and R{\"o}mbke, J{\"o}rg and Romero-Duque, Luz Piedad and Rosselli, Loreta and Rossiter, Stephen J. and Roulston, T'ai H. and Rousseau, Laurent and Sadler, Jonathan P. and S{\´a}fi{\´a}n, Szbolcs and Salda{\~n}a-V{\´a}squez, Romeo A. and Samneg{\aa}rd, Ulrika and Sch{\"u}epp, Christof and Schweiger, Oliver and Sedlock, Jodi L. and Shahabuddin, Ghazala and Sheil, Douglas and Silva, Fernando A. B. and Slade, Eleanor and Smith-Pardo, Allan H. and Sodhi, Navjot S. and Somarriba, Eduardo J. and Sosa, Ram{\´o}n A. and Stout, Jane C. and Struebig, Matthew J. and Sung, Yik-Hei and Threlfall, Caragh G. and Tonietto, Rebecca and T{\´o}thm{\´e}r{\´e}sz, B{\´e}la and Tscharntke, Teja and Turner, Edgar C. and Tylianakis, Jason M. and Vanbergen, Adam J. and Vassilev, Kiril and Verboven, Hans A. F. and Vergara, Carlos H. and Vergara, Pablo M. and Verhulst, Jort and Walker, Tony R. and Wang, Yanping and Watling, James I. and Wells, Konstans and Williams, Christopher D. and Willig, Michael R. and Woinarski, John C. Z. and Wolf, Jan H. D. and Woodcock, Ben A. and Yu, Douglas W. and Zailsev, Andreys and Collen, Ben and Ewers, Rob M. and Mace, Georgina M. and Purves, Drew W. and Scharlemann, J{\"o}rn P. W. and Pervis, Andy}, title = {The PREDICTS database: a global database of how local terrestrial biodiversity responds to human impacts}, series = {Ecology and Evolution}, volume = {4}, journal = {Ecology and Evolution}, number = {24}, doi = {10.1002/ece3.1303}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-114425}, pages = {4701 - 4735}, year = {2014}, abstract = {Biodiversity continues to decline in the face of increasing anthropogenic pressures such as habitat destruction, exploitation, pollution and introduction of alien species. Existing global databases of species' threat status or population time series are dominated by charismatic species. The collation of datasets with broad taxonomic and biogeographic extents, and that support computation of a range of biodiversity indicators, is necessary to enable better understanding of historical declines and to project - and avert - future declines. We describe and assess a new database of more than 1.6 million samples from 78 countries representing over 28,000 species, collated from existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from terrestrial sites around the world. The database contains measurements taken in 208 (of 814) ecoregions, 13 (of 14) biomes, 25 (of 35) biodiversity hotspots and 16 (of 17) megadiverse countries. The database contains more than 1\% of the total number of all species described, and more than 1\% of the described species within many taxonomic groups - including flowering plants, gymnosperms, birds, mammals, reptiles, amphibians, beetles, lepidopterans and hymenopterans. The dataset, which is still being added to, is therefore already considerably larger and more representative than those used by previous quantitative models of biodiversity trends and responses. The database is being assembled as part of the PREDICTS project (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems - ). We make site-level summary data available alongside this article. The full database will be publicly available in 2015.}, language = {en} } @article{DavisYuKeenanetal.2013, author = {Davis, Lea K. and Yu, Dongmei and Keenan, Clare L. and Gamazon, Eric R. and Konkashbaev, Anuar I. and Derks, Eske M. and Neale, Benjamin M. and Yang, Jian and Lee, S. Hong and Evans, Patrick and Barr, Cathy L. and Bellodi, Laura and Benarroch, Fortu and Berrio, Gabriel Bedoya and Bienvenu, Oscar J. and Bloch, Michael H. and Blom, Rianne M. and Bruun, Ruth D. and Budman, Cathy L. and Camarena, Beatriz and Campbell, Desmond and Cappi, Carolina and Cardona Silgado, Julio C. and Cath, Danielle C. and Cavallini, Maria C. and Chavira, Denise A. and Chouinard, Sylvian and Conti, David V. and Cook, Edwin H. and Coric, Vladimir and Cullen, Bernadette A. and Deforce, Dieter and Delorme, Richard and Dion, Yves and Edlund, Christopher K. and Egberts, Karin and Falkai, Peter and Fernandez, Thomas V. and Gallagher, Patience J. and Garrido, Helena and Geller, Daniel and Girard, Simon L. and Grabe, Hans J. and Grados, Marco A. and Greenberg, Benjamin D. and Gross-Tsur, Varda and Haddad, Stephen and Heiman, Gary A. and Hemmings, Sian M. J. and Hounie, Ana G. and Illmann, Cornelia and Jankovic, Joseph and Jenike, Micheal A. and Kennedy, James L. and King, Robert A. and Kremeyer, Barbara and Kurlan, Roger and Lanzagorta, Nuria and Leboyer, Marion and Leckman, James F. and Lennertz, Leonhard and Liu, Chunyu and Lochner, Christine and Lowe, Thomas L. and Macciardi, Fabio and McCracken, James T. and McGrath, Lauren M. and Restrepo, Sandra C. Mesa and Moessner, Rainald and Morgan, Jubel and Muller, Heike and Murphy, Dennis L. and Naarden, Allan L. and Ochoa, William Cornejo and Ophoff, Roel A. and Osiecki, Lisa and Pakstis, Andrew J. and Pato, Michele T. and Pato, Carlos N. and Piacentini, John and Pittenger, Christopher and Pollak, Yehunda and Rauch, Scott L. and Renner, Tobias J. and Reus, Victor I. and Richter, Margaret A. and Riddle, Mark A. and Robertson, Mary M. and Romero, Roxana and Ros{\`a}rio, Maria C. and Rosenberg, David and Rouleau, Guy A. and Ruhrmann, Stephan and Ruiz-Linares, Andreas and Sampaio, Aline S. and Samuels, Jack and Sandor, Paul and Sheppard, Broke and Singer, Harvey S. and Smit, Jan H. and Stein, Dan J. and Strengman, E. and Tischfield, Jay A. and Valencia Duarte, Ana V. and Vallada, Homero and Van Nieuwerburgh, Flip and Veenstra-VanderWeele, Jeremy and Walitza, Susanne and Wang, Ying and Wendland, Jens R. and Westenberg, Herman G. M. and Shugart, Yin Yao and Miguel, Euripedes C. and McMahon, William and Wagner, Michael and Nicolini, Humberto and Posthuma, Danielle and Hanna, Gregory L. and Heutink, Peter and Denys, Damiaan and Arnold, Paul D. and Oostra, Ben A. and Nestadt, Gerald and Freimer, Nelson B. and Pauls, David L. and Wray, Naomi R. and Stewart, S. Evelyn and Mathews, Carol A. and Knowles, James A. and Cox, Nancy J. and Scharf, Jeremiah M.}, title = {Partitioning the Heritability of Tourette Syndrome and Obsessive Compulsive Disorder Reveals Differences in Genetic Architecture}, series = {PLoS Genetics}, volume = {9}, journal = {PLoS Genetics}, number = {10}, issn = {1553-7390}, doi = {10.1371/journal.pgen.1003864}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-127377}, pages = {e1003864}, year = {2013}, abstract = {The direct estimation of heritability from genome-wide common variant data as implemented in the program Genome-wide Complex Trait Analysis (GCTA) has provided a means to quantify heritability attributable to all interrogated variants. We have quantified the variance in liability to disease explained by all SNPs for two phenotypically-related neurobehavioral disorders, obsessive-compulsive disorder (OCD) and Tourette Syndrome (TS), using GCTA. Our analysis yielded a heritability point estimate of 0.58 (se = 0.09, p = 5.64e-12) for TS, and 0.37 (se = 0.07, p = 1.5e-07) for OCD. In addition, we conducted multiple genomic partitioning analyses to identify genomic elements that concentrate this heritability. We examined genomic architectures of TS and OCD by chromosome, MAF bin, and functional annotations. In addition, we assessed heritability for early onset and adult onset OCD. Among other notable results, we found that SNPs with a minor allele frequency of less than 5\% accounted for 21\% of the TS heritability and 0\% of the OCD heritability. Additionally, we identified a significant contribution to TS and OCD heritability by variants significantly associated with gene expression in two regions of the brain (parietal cortex and cerebellum) for which we had available expression quantitative trait loci (eQTLs). Finally we analyzed the genetic correlation between TS and OCD, revealing a genetic correlation of 0.41 (se = 0.15, p = 0.002). These results are very close to previous heritability estimates for TS and OCD based on twin and family studies, suggesting that very little, if any, heritability is truly missing (i.e., unassayed) from TS and OCD GWAS studies of common variation. The results also indicate that there is some genetic overlap between these two phenotypically-related neuropsychiatric disorders, but suggest that the two disorders have distinct genetic architectures.}, language = {en} } @article{LindertPozzoriniBoughezaletal.2017, author = {Lindert, J. M. and Pozzorini, S. and Boughezal, R. and Campbell, J. M. and Denner, A. and Dittmaier, S. and Gehrmann-De Ridder, A. and Gehrmann, T. and Glover, N. and Huss, A. and Kallweit, S. and Maierh{\"o}fer, P. and Mangano, M. L. and Morgan, T. A. and M{\"u}ck, A. and Petriello, F. and Salam, G. P. and Sch{\"o}nherr, M. and Williams, C.}, title = {Precise predictions for \(V+\)jets dark matter backgrounds}, series = {European Physical Journal C}, volume = {77}, journal = {European Physical Journal C}, doi = {10.1140/epjc/s10052-017-5389-1}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-172555}, year = {2017}, abstract = {High-energy jets recoiling against missing transverse energy (MET) are powerful probes of dark matter at the LHC. Searches based on large MET signatures require a precise control of the \({Z(ν\overline{ν})}+\) jet background in the signal region. This can be achieved by taking accurate data in control regions dominated by \(Z(ℓ^+ℓ^-)+\) jet, \(W(ℓν)+\) jet and \(γ+\) jet production, and extrapolating to the \({Z(ν\overline{ν})}+\) jet background by means of precise theoretical predictions. In this context, recent advances in perturbative calculations open the door to significant sensitivity improvements in dark matter searches. In this spirit, we present a combination of state-of-the-art calculations for all relevant \(V+\) jets processes, including throughout NNLO QCD corrections and NLO electroweak corrections supplemented by Sudakov logarithms at two loops. Predictions at parton level are provided together with detailed recommendations for their usage in experimental analyses based on the reweighting of Monte Carlo samples. Particular attention is devoted to the estimate of theoretical uncertainties in the framework of dark matter searches, where subtle aspects such as correlations across different \(V+\) jet processes play a key role. The anticipated theoretical uncertainty in the \({Z(ν\overline{ν})}+\) jet background is at the few percent level up to the TeV range.}, 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} } @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{vandeDonkPalumboJohnsenetal.2014, author = {van de Donk, Niels W. C. J. and Palumbo, Antonio and Johnsen, Hans Erik and Engelhardt, Monika and Gay, Francesca and Gregersen, Henrik and Hajek, Roman and Kleber, Martina and Ludwig, Heinz and Morgan, Gareth and Musto, Pellegrino and Plesner, Torben and Sezer, Orhan and Terpos, Evangelos and Waage, Anders and Zweegman, Sonja and Einsele, Hermann and Sonneveld, Pieter and Lokhorst, Henk M.}, title = {The clinical relevance and management of monoclonal gammopathy of undetermined significance and related disorders: recommendations from the European Myeloma Network}, series = {Haematologica}, volume = {99}, journal = {Haematologica}, number = {6}, issn = {0390-6078}, doi = {10.3324/haematol.2013.100552}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-116050}, pages = {984 - 996}, year = {2014}, abstract = {Monoclonal gammopathy of undetermined significance is one of the most common pre-malignant disorders. IgG and IgA monoclonal gammopathy of undetermined significance are precursor conditions of multiple myeloma; light-chain monoclonal gammopathy of undetermined significance of light-chain multiple myeloma; and IgM monoclonal gammopathy of undetermined significance of Waldenstrom's macroglobulinemia and other lymphoproliferative disorders. Clonal burden, as determined by bone marrow plasma cell percentage or M-protein level, as well as biological characteristics, including heavy chain isotype and light chain production, are helpful in predicting risk of progression of monoclonal gammopathy of undetermined significance to symptomatic disease. Furthermore, alterations in the bone marrow microenvironment of monoclonal gammopathy of undetermined significance patients result in an increased risk of venous and arterial thrombosis, infections, osteoporosis, and bone fractures. In addition, the small clone may occasionally be responsible for severe organ damage through the production of a monoclonal protein that has autoantibody activity or deposits in tissues. These disorders are rare and often require therapy directed at eradication of the underlying plasma cell or lymphoplasmacytic clone. In this review, we provide an overview of the clinical relevance of monoclonal gammopathy of undetermined significance. We also give general recommendations of how to diagnose and manage patients with monoclonal gammopathy of undetermined significance.}, language = {en} } @article{KurrekMorganHowardetal.2015, author = {Kurrek, Matt M. and Morgan, Pamela and Howard, Steven and Kranke, Peter and Calhoun, Aaron and Hui, Joshua and Kiss, Alex}, title = {Simulation as a New Tool to Establish Benchmark Outcome Measures in Obstetrics}, series = {PLoS ONE}, volume = {10}, journal = {PLoS ONE}, number = {6}, doi = {10.1371/journal.pone.0131064}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-151646}, pages = {e0131064}, year = {2015}, abstract = {Background There are not enough clinical data from rare critical events to calculate statistics to decide if the management of actual events might be below what could reasonably be expected (i.e. was an outlier). Objectives In this project we used simulation to describe the distribution of management times as an approach to decide if the management of a simulated obstetrical crisis scenario could be considered an outlier. Design Twelve obstetrical teams managed 4 scenarios that were previously developed. Relevant outcome variables were defined by expert consensus. The distribution of the response times from the teams who performed the respective intervention was graphically displayed and median and quartiles calculated using rank order statistics. Results Only 7 of the 12 teams performed chest compressions during the arrest following the 'cannot intubate/cannot ventilate' scenario. All other outcome measures were performed by at least 11 of the 12 teams. Calculation of medians and quartiles with 95\% CI was possible for all outcomes. Confidence intervals, given the small sample size, were large. Conclusion We demonstrated the use of simulation to calculate quantiles for management times of critical event. This approach could assist in deciding if a given performance could be considered normal and also point to aspects of care that seem to pose particular challenges as evidenced by a large number of teams not performing the expected maneuver. However sufficiently large sample sizes (i.e. from a national data base) will be required to calculate acceptable confidence intervals and to establish actual tolerance limits.}, language = {en} }