TY - JOUR A1 - Waszak, Sebastian M A1 - Northcott, Paul A A1 - Buchhalter, Ivo A1 - Robinson, Giles W A1 - Sutter, Christian A1 - Groebner, Susanne A1 - Grund, Kerstin B A1 - Brugières, Laurence A1 - Jones, David T W A1 - Pajtler, Kristian W A1 - Morrissy, A Sorana A1 - Kool, Marcel A1 - Sturm, Dominik A1 - Chavez, Lukas A1 - Ernst, Aurelie A1 - Brabetz, Sebastian A1 - Hain, Michael A1 - Zichner, Thomas A1 - Segura-Wang, Maia A1 - Weischenfeldt, Joachim A1 - Rausch, Tobias A1 - Mardin, Balca R A1 - Zhou, Xin A1 - Baciu, Cristina A1 - Lawerenz, Christian A1 - Chan, Jennifer A A1 - Varlet, Pascale A1 - Guerrini-Rousseau, Lea A1 - Fults, Daniel W A1 - Grajkowska, Wiesława A1 - Hauser, Peter A1 - Jabado, Nada A1 - Ra, Young-Shin A1 - Zitterbart, Karel A1 - Shringarpure, Suyash S A1 - De La Vega, Francisco M A1 - Bustamante, Carlos D A1 - Ng, Ho-Keung A1 - Perry, Arie A1 - MacDonald, Tobey J A1 - Driever, Pablo Hernáiz A1 - Bendel, Anne E A1 - Bowers, Daniel C A1 - McCowage, Geoffrey A1 - Chintagumpala, Murali M A1 - Cohn, Richard A1 - Hassall, Timothy A1 - Fleischhack, Gudrun A1 - Eggen, Tone A1 - Wesenberg, Finn A1 - Feychting, Maria A1 - Lannering, Birgitta A1 - Schüz, Joachim A1 - Johansen, Christoffer A1 - Andersen, Tina V A1 - Röösli, Martin A1 - Kuehni, Claudia E A1 - Grotzer, Michael A1 - Kjaerheim, Kristina A1 - Monoranu, Camelia M A1 - Archer, Tenley C A1 - Duke, Elizabeth A1 - Pomeroy, Scott L A1 - Shelagh, Redmond A1 - Frank, Stephan A1 - Sumerauer, David A1 - Scheurlen, Wolfram A1 - Ryzhova, Marina V A1 - Milde, Till A1 - Kratz, Christian P A1 - Samuel, David A1 - Zhang, Jinghui A1 - Solomon, David A A1 - Marra, Marco A1 - Eils, Roland A1 - Bartram, Claus R A1 - von Hoff, Katja A1 - Rutkowksi, Stefan A1 - Ramaswamy, Vijay A1 - Gilbertson, Richard J A1 - Korshunov, Andrey A1 - Taylor, Michael D A1 - Lichter, Peter A1 - Malkin, David A1 - Gajjar, Amar A1 - Korbel, Jan O A1 - Pfister, Stefan M T1 - Spectrum and prevalence of genetic predisposition in medulloblastoma: a retrospective genetic study and prospective validation in a clinical trial cohort JF - The Lancet Oncology N2 - Background Medulloblastoma is associated with rare hereditary cancer predisposition syndromes; however, consensus medulloblastoma predisposition genes have not been defined and screening guidelines for genetic counselling and testing for paediatric patients are not available. We aimed to assess and define these genes to provide evidence for future screening guidelines. Methods In this international, multicentre study, we analysed patients with medulloblastoma from retrospective cohorts (International Cancer Genome Consortium [ICGC] PedBrain, Medulloblastoma Advanced Genomics International Consortium [MAGIC], and the CEFALO series) and from prospective cohorts from four clinical studies (SJMB03, SJMB12, SJYC07, and I-HIT-MED). Whole-genome sequences and exome sequences from blood and tumour samples were analysed for rare damaging germline mutations in cancer predisposition genes. DNA methylation profiling was done to determine consensus molecular subgroups: WNT (MBWNT), SHH (MBSHH), group 3 (MBGroup3), and group 4 (MBGroup4). Medulloblastoma predisposition genes were predicted on the basis of rare variant burden tests against controls without a cancer diagnosis from the Exome Aggregation Consortium (ExAC). Previously defined somatic mutational signatures were used to further classify medulloblastoma genomes into two groups, a clock-like group (signatures 1 and 5) and a homologous recombination repair deficiency-like group (signatures 3 and 8), and chromothripsis was investigated using previously established criteria. Progression-free survival and overall survival were modelled for patients with a genetic predisposition to medulloblastoma. Findings We included a total of 1022 patients with medulloblastoma from the retrospective cohorts (n=673) and the four prospective studies (n=349), from whom blood samples (n=1022) and tumour samples (n=800) were analysed for germline mutations in 110 cancer predisposition genes. In our rare variant burden analysis, we compared these against 53 105 sequenced controls from ExAC and identified APC, BRCA2, PALB2, PTCH1, SUFU, and TP53 as consensus medulloblastoma predisposition genes according to our rare variant burden analysis and estimated that germline mutations accounted for 6% of medulloblastoma diagnoses in the retrospective cohort. The prevalence of genetic predispositions differed between molecular subgroups in the retrospective cohort and was highest for patients in the MBSHH subgroup (20% in the retrospective cohort). These estimates were replicated in the prospective clinical cohort (germline mutations accounted for 5% of medulloblastoma diagnoses, with the highest prevalence [14%] in the MBSHH subgroup). Patients with germline APC mutations developed MBWNT and accounted for most (five [71%] of seven) cases of MBWNT that had no somatic CTNNB1 exon 3 mutations. Patients with germline mutations in SUFU and PTCH1 mostly developed infant MBSHH. Germline TP53 mutations presented only in childhood patients in the MBSHH subgroup and explained more than half (eight [57%] of 14) of all chromothripsis events in this subgroup. Germline mutations in PALB2 and BRCA2 were observed across the MBSHH, MBGroup3, and MBGroup4 molecular subgroups and were associated with mutational signatures typical of homologous recombination repair deficiency. In patients with a genetic predisposition to medulloblastoma, 5-year progression-free survival was 52% (95% CI 40–69) and 5-year overall survival was 65% (95% CI 52–81); these survival estimates differed significantly across patients with germline mutations in different medulloblastoma predisposition genes. Interpretation Genetic counselling and testing should be used as a standard-of-care procedure in patients with MBWNT and MBSHH because these patients have the highest prevalence of damaging germline mutations in known cancer predisposition genes. We propose criteria for routine genetic screening for patients with medulloblastoma based on clinical and molecular tumour characteristics. Y1 - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-233425 VL - 19 ER - TY - JOUR A1 - Sommerfeld, Andreas A1 - Senf, Cornelius A1 - Buma, Brian A1 - D'Amato, Anthony W. A1 - Després, Tiphaine A1 - Díaz-Hormazábal, Ignacio A1 - Fraver, Shawn A1 - Frelich, Lee E. A1 - Gutiérrez, Álvaro G. A1 - Hart, Sarah J. A1 - Harvey, Brian J. A1 - He, Hong S. A1 - Hlásny, Tomáš A1 - Holz, Andrés A1 - Kitzberger, Thomas A1 - Kulakowski, Dominik A1 - Lindenmayer, David A1 - Mori, Akira S. A1 - Müller, Jörg A1 - Paritsis, Juan A1 - Perry, George L. W. A1 - Stephens, Scott L. A1 - Svoboda, Miroslav A1 - Turner, Monica G. A1 - Veblen, Thomas T. A1 - Seidl, Rupert T1 - Patterns and drivers of recent disturbances across the temperate forest biome JF - Nature Communications N2 - Increasing evidence indicates that forest disturbances are changing in response to global change, yet local variability in disturbance remains high. We quantified this considerable variability and analyzed whether recent disturbance episodes around the globe were consistently driven by climate, and if human influence modulates patterns of forest disturbance. We combined remote sensing data on recent (2001–2014) disturbances with in-depth local information for 50 protected landscapes and their surroundings across the temperate biome. Disturbance patterns are highly variable, and shaped by variation in disturbance agents and traits of prevailing tree species. However, high disturbance activity is consistently linked to warmer and drier than average conditions across the globe. Disturbances in protected areas are smaller and more complex in shape compared to their surroundings affected by human land use. This signal disappears in areas with high recent natural disturbance activity, underlining the potential of climate-mediated disturbance to transform forest landscapes. KW - forest ecology KW - forestry Y1 - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-239157 VL - 9 ER - TY - JOUR A1 - Westbury, Sarah K A1 - Turro, Ernest A1 - Greene, Daniel A1 - Lentaigne, Claire A1 - Kelly, Anne M A1 - Bariana, Tadbir K A1 - Simeoni, Ilenia A1 - Pillois, Xavier A1 - Attwood, Antony A1 - Austin, Steve A1 - Jansen, Sjoert BG A1 - Bakchoul, Tamam A1 - Crisp-Hihn, Abi A1 - Erber, Wendy N A1 - Favier, Rémi A1 - Foad, Nicola A1 - Gattens, Michael A1 - Jolley, Jennifer D A1 - Liesner, Ri A1 - Meacham, Stuart A1 - Millar, Carolyn M A1 - Nurden, Alan T A1 - Peerlinck, Kathelijne A1 - Perry, David J A1 - Poudel, Pawan A1 - Schulman, Sol A1 - Schulze, Harald A1 - Stephens, Jonathan C A1 - Furie, Bruce A1 - Robinson, Peter N A1 - van Geet, Chris A1 - Rendon, Augusto A1 - Gomez, Keith A1 - Laffan, Michael A A1 - Lambert, Michele P A1 - Nurden, Paquita A1 - Ouwehand, Willem H A1 - Richardson, Sylvia A1 - Mumford, Andrew D A1 - Freson, Kathleen T1 - Human phenotype ontology annotation and cluster analysis to unravel genetic defects in 707 cases with unexplained bleeding and platelet disorders JF - Genome Medicine N2 - 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. KW - disease KW - thrombocytopenia KW - guidelines KW - complex Y1 - 2015 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-143329 VL - 7 IS - 36 ER -