TY  - JOUR
A1  - Jiang, Yuxiang
A1  - Oron, Tal Ronnen
A1  - Clark, Wyatt T.
A1  - Bankapur, Asma R.
A1  - D'Andrea, Daniel
A1  - Lepore, Rosalba
A1  - Funk, Christopher S.
A1  - Kahanda, Indika
A1  - Verspoor, Karin M.
A1  - Ben-Hur, Asa
A1  - Koo, Da Chen Emily
A1  - Penfold-Brown, Duncan
A1  - Shasha, Dennis
A1  - Youngs, Noah
A1  - Bonneau, Richard
A1  - Lin, Alexandra
A1  - Sahraeian, Sayed M. E.
A1  - Martelli, Pier Luigi
A1  - Profiti, Giuseppe
A1  - Casadio, Rita
A1  - Cao, Renzhi
A1  - Zhong, Zhaolong
A1  - Cheng, Jianlin
A1  - Altenhoff, Adrian
A1  - Skunca, Nives
A1  - Dessimoz, Christophe
A1  - Dogan, Tunca
A1  - Hakala, Kai
A1  - Kaewphan, Suwisa
A1  - Mehryary, Farrokh
A1  - Salakoski, Tapio
A1  - Ginter, Filip
A1  - Fang, Hai
A1  - Smithers, Ben
A1  - Oates, Matt
A1  - Gough, Julian
A1  - Törönen, Petri
A1  - Koskinen, Patrik
A1  - Holm, Liisa
A1  - Chen, Ching-Tai
A1  - Hsu, Wen-Lian
A1  - Bryson, Kevin
A1  - Cozzetto, Domenico
A1  - Minneci, Federico
A1  - Jones, David T.
A1  - Chapman, Samuel
A1  - BKC, Dukka
A1  - Khan, Ishita K.
A1  - Kihara, Daisuke
A1  - Ofer, Dan
A1  - Rappoport, Nadav
A1  - Stern, Amos
A1  - Cibrian-Uhalte, Elena
A1  - Denny, Paul
A1  - Foulger, Rebecca E.
A1  - Hieta, Reija
A1  - Legge, Duncan
A1  - Lovering, Ruth C.
A1  - Magrane, Michele
A1  - Melidoni, Anna N.
A1  - Mutowo-Meullenet, Prudence
A1  - Pichler, Klemens
A1  - Shypitsyna, Aleksandra
A1  - Li, Biao
A1  - Zakeri, Pooya
A1  - ElShal, Sarah
A1  - Tranchevent, Léon-Charles
A1  - Das, Sayoni
A1  - Dawson, Natalie L.
A1  - Lee, David
A1  - Lees, Jonathan G.
A1  - Sillitoe, Ian
A1  - Bhat, Prajwal
A1  - Nepusz, Tamás
A1  - Romero, Alfonso E.
A1  - Sasidharan, Rajkumar
A1  - Yang, Haixuan
A1  - Paccanaro, Alberto
A1  - Gillis, Jesse
A1  - Sedeño-Cortés, Adriana E.
A1  - Pavlidis, Paul
A1  - Feng, Shou
A1  - Cejuela, Juan M.
A1  - Goldberg, Tatyana
A1  - Hamp, Tobias
A1  - Richter, Lothar
A1  - Salamov, Asaf
A1  - Gabaldon, Toni
A1  - Marcet-Houben, Marina
A1  - Supek, Fran
A1  - Gong, Qingtian
A1  - Ning, Wei
A1  - Zhou, Yuanpeng
A1  - Tian, Weidong
A1  - Falda, Marco
A1  - Fontana, Paolo
A1  - Lavezzo, Enrico
A1  - Toppo, Stefano
A1  - Ferrari, Carlo
A1  - Giollo, Manuel
A1  - Piovesan, Damiano
A1  - Tosatto, Silvio C. E.
A1  - del Pozo, Angela
A1  - Fernández, José M.
A1  - Maietta, Paolo
A1  - Valencia, Alfonso
A1  - Tress, Michael L.
A1  - Benso, Alfredo
A1  - Di Carlo, Stefano
A1  - Politano, Gianfranco
A1  - Savino, Alessandro
A1  - Rehman, Hafeez Ur
A1  - Re, Matteo
A1  - Mesiti, Marco
A1  - Valentini, Giorgio
A1  - Bargsten, Joachim W.
A1  - van Dijk, Aalt D. J.
A1  - Gemovic, Branislava
A1  - Glisic, Sanja
A1  - Perovic, Vladmir
A1  - Veljkovic, Veljko
A1  - Almeida-e-Silva, Danillo C.
A1  - Vencio, Ricardo Z. N.
A1  - Sharan, Malvika
A1  - Vogel, Jörg
A1  - Kansakar, Lakesh
A1  - Zhang, Shanshan
A1  - Vucetic, Slobodan
A1  - Wang, Zheng
A1  - Sternberg, Michael J. E.
A1  - Wass, Mark N.
A1  - Huntley, Rachael P.
A1  - Martin, Maria J.
A1  - O'Donovan, Claire
A1  - Robinson, Peter N.
A1  - Moreau, Yves
A1  - Tramontano, Anna
A1  - Babbitt, Patricia C.
A1  - Brenner, Steven E.
A1  - Linial, Michal
A1  - Orengo, Christine A.
A1  - Rost, Burkhard
A1  - Greene, Casey S.
A1  - Mooney, Sean D.
A1  - Friedberg, Iddo
A1  - Radivojac, Predrag
A1  - Veljkovic, Nevena
T1  - An expanded evaluation of protein function prediction methods shows an improvement in accuracy
JF  - Genome Biology
N2  - Background
A major bottleneck in our understanding of the molecular underpinnings of life is the assignment of function to proteins. While molecular experiments provide the most reliable annotation of proteins, their relatively low throughput and restricted purview have led to an increasing role for computational function prediction. However, assessing methods for protein function prediction and tracking progress in the field remain challenging.

Results
We conducted the second critical assessment of functional annotation (CAFA), a timed challenge to assess computational methods that automatically assign protein function. We evaluated 126 methods from 56 research groups for their ability to predict biological functions using Gene Ontology and gene-disease associations using Human Phenotype Ontology on a set of 3681 proteins from 18 species. CAFA2 featured expanded analysis compared with CAFA1, with regards to data set size, variety, and assessment metrics. To review progress in the field, the analysis compared the best methods from CAFA1 to those of CAFA2.

Conclusions
The top-performing methods in CAFA2 outperformed those from CAFA1. This increased accuracy can be attributed to a combination of the growing number of experimental annotations and improved methods for function prediction. The assessment also revealed that the definition of top-performing algorithms is ontology specific, that different performance metrics can be used to probe the nature of accurate predictions, and the relative diversity of predictions in the biological process and human phenotype ontologies. While there was methodological improvement between CAFA1 and CAFA2, the interpretation of results and usefulness of individual methods remain context-dependent.
KW  - Protein function prediction
KW  - Disease gene prioritization
Y1  - 2016
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-166293
VL  - 17
IS  - 184
ER  - 
TY  - JOUR
A1  - Albert, A.
A1  - André, M.
A1  - Anghinolfi, M.
A1  - Anton, G.
A1  - Ardid, M.
A1  - Aubert, J.-J.
A1  - Aublin, J.
A1  - Avgitas, T.
A1  - Baret, B.
A1  - Barrios-Martít, J.
A1  - Basa, S.
A1  - Belhorma, B.
A1  - Bertin, V.
A1  - Biagi, S.
A1  - Bormuth, R.
A1  - Boumaaza, J
A1  - Bourret, S.
A1  - Bouwhuis, M. C.
A1  - Brânzas, H.
A1  - Bruijn, R.
A1  - Brunner, J.
A1  - Busto, J.
A1  - Capone, A.
A1  - Caramete, L.
A1  - Carr, J.
A1  - Celli, S.
A1  - Chabab, M.
A1  - Cherkaoui El Moursli, R.
A1  - Chiarusi, T.
A1  - Circella, M.
A1  - Coelho, J. A. B.
A1  - Coleiro, A.
A1  - Colomer, M
A1  - Coniglione, R.
A1  - Costantini, H.
A1  - Coyle, P.
A1  - Creusot, A.
A1  - Díaz, A. F.
A1  - Deschamps, A.
A1  - Distefano, C.
A1  - Di Palma, I.
A1  - Domi, A.
A1  - Donzaud, C.
A1  - Dornic, D.
A1  - Drouhin, D.
A1  - Eberl, T.
A1  - El Bojaddaini, I.
A1  - El Khayati, N.
A1  - Elsässer, D.
A1  - Enzenhöfer, A.
A1  - Ettahiri, A.
A1  - Fassi, F.
A1  - Felis, I.
A1  - Fermani, P.
A1  - Ferrara, G.
A1  - Fusco, L. A.
A1  - Gay, P.
A1  - Glotin, H.
A1  - Grégoire, T.
A1  - Gracia Ruiz, R.
A1  - Graf, K.
A1  - Hallmann, S.
A1  - van Haren, H.
A1  - Heijboer, A. J.
A1  - Hello, Y.
A1  - Hernández-Rey, J. J.
A1  - Hößl, J.
A1  - Hofestädt, J.
A1  - Illuminati, G.
A1  - de Jong, M.
A1  - Jongen, M.
A1  - Kadler, M.
A1  - Kalekin, O.
A1  - Katz, U.
A1  - Khan-Chowdhury, N. R.
A1  - Kouchner, A.
A1  - Kreter, M.
A1  - Kreykenbohm, I.
A1  - Kulikovskiy, V.
A1  - Lachaud, C.
A1  - Lahmann, R.
A1  - Lefèvre, D.
A1  - Leonora, E.
A1  - Levi, G.
A1  - Lotze, M.
A1  - Loucatos, S.
A1  - Marcelin, M.
A1  - Margiotta, A.
A1  - Marinelli, A.
A1  - Martínez-Mora, J. A.
A1  - Mele, R.
A1  - Melis, K.
A1  - Migliozzi, P.
A1  - Moussa, A.
A1  - Navas, S.
A1  - Nezri, E.
A1  - Nuñez, A.
A1  - Organokov, M.
A1  - Pavalas, G. E.
A1  - Pellegrino, C.
A1  - Piattelli, P.
A1  - Popa, V.
A1  - Pradier, T.
A1  - Quinn, L.
A1  - Racca, C.
A1  - Randazzo, N.
A1  - Riccobene, G.
A1  - Sánchez-Losa, A.
A1  - Saldaña, M.
A1  - Salvadori, I.
A1  - Samtleben, D. F. E.
A1  - Sanguineti, M.
A1  - Sapienza, P.
A1  - Schüssler, F.
A1  - Spurio, M.
A1  - Stolarczyk, Th.
A1  - Taiuti, M.
A1  - Tayalati, Y.
A1  - Trovato, A.
A1  - Vallage, B.
A1  - Van Elewyck, V.
A1  - Versari, F.
A1  - Vivolo, D.
A1  - Wilms, J.
A1  - Zaborov, D.
A1  - Zornoza, J. D.
A1  - Zúñiga, J.
T1  - The cosmic ray shadow of the Moon observed with the ANTARES neutrino telescope
JF  - European Physical Journal C
N2  - One of the main objectives of the ANTARES telescope is the search for point- like neutrino sources. Both the pointing accuracy and the angular resolution of the detector are important in this context and a reliableway to evaluate this performance is needed. In order to measure the pointing accuracy of the detector, one possibility is to study the shadow of the Moon, i. e. the deficit of the atmospheric muon flux from the direction of the Moon induced by the absorption of cosmic rays. Analysing the data taken between 2007 and 2016, theMoon shadow is observed with 3.5s statistical significance. The detector angular resolution for downwardgoing muons is 0.73. +/- 0.14.. The resulting pointing performance is consistent with the expectations. An independent check of the telescope pointing accuracy is realised with the data collected by a shower array detector onboard of a ship temporarily moving around the ANTARES location.
KW  - Atmospheric muons
Y1  - 2019
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-227802
VL  - 78
ER  - 
TY  - JOUR
A1  - Vigorito, Elena
A1  - Kuchenbaecker, Karoline B.
A1  - Beesley, Jonathan
A1  - Adlard, Julian
A1  - Agnarsson, Bjarni A.
A1  - Andrulis, Irene L.
A1  - Arun, Banu K.
A1  - Barjhoux, Laure
A1  - Belotti, Muriel
A1  - Benitez, Javier
A1  - Berger, Andreas
A1  - Bojesen, Anders
A1  - Bonanni, Bernardo
A1  - Brewer, Carole
A1  - Caldes, Trinidad
A1  - Caligo, Maria A.
A1  - Campbell, Ian
A1  - Chan, Salina B.
A1  - Claes, Kathleen B. M.
A1  - Cohn, David E.
A1  - Cook, Jackie
A1  - Daly, Mary B.
A1  - Damiola, Francesca
A1  - Davidson, Rosemarie
A1  - de Pauw, Antoine
A1  - Delnatte, Capucine
A1  - Diez, Orland
A1  - Domchek, Susan M.
A1  - Dumont, Martine
A1  - Durda, Katarzyna
A1  - Dworniczak, Bernd
A1  - Easton, Douglas F.
A1  - Eccles, Diana
A1  - Ardnor, Christina Edwinsdotter
A1  - Eeles, Ros
A1  - Ejlertsen, Bent
A1  - Ellis, Steve
A1  - Evans, D. Gareth
A1  - Feliubadalo, Lidia
A1  - Fostira, Florentia
A1  - Foulkes, William D.
A1  - Friedman, Eitan
A1  - Frost, Debra
A1  - Gaddam, Pragna
A1  - Ganz, Patricia A.
A1  - Garber, Judy
A1  - Garcia-Barberan, Vanesa
A1  - Gauthier-Villars, Marion
A1  - Gehrig, Andrea
A1  - Gerdes, Anne-Marie
A1  - Giraud, Sophie
A1  - Godwin, Andrew K.
A1  - Goldgar, David E.
A1  - Hake, Christopher R.
A1  - Hansen, Thomas V. O.
A1  - Healey, Sue
A1  - Hodgson, Shirley
A1  - Hogervorst, Frans B. L.
A1  - Houdayer, Claude
A1  - Hulick, Peter J.
A1  - Imyanitov, Evgeny N.
A1  - Isaacs, Claudine
A1  - Izatt, Louise
A1  - Izquierdo, Angel
A1  - Jacobs, Lauren
A1  - Jakubowska, Anna
A1  - Janavicius, Ramunas
A1  - Jaworska-Bieniek, Katarzyna
A1  - Jensen, Uffe Birk
A1  - John, Esther M.
A1  - Vijai, Joseph
A1  - Karlan, Beth Y.
A1  - Kast, Karin
A1  - Khan, Sofia
A1  - Kwong, Ava
A1  - Laitman, Yael
A1  - Lester, Jenny
A1  - Lesueur, Fabienne
A1  - Liljegren, Annelie
A1  - Lubinski, Jan
A1  - Mai, Phuong L.
A1  - Manoukian, Siranoush
A1  - Mazoyer, Sylvie
A1  - Meindl, Alfons
A1  - Mensenkamp, Arjen R.
A1  - Montagna, Marco
A1  - Nathanson, Katherine L.
A1  - Neuhausen, Susan L.
A1  - Nevanlinna, Heli
A1  - Niederacher, Dieter
A1  - Olah, Edith
A1  - Olopade, Olufunmilayo I.
A1  - Ong, Kai-ren
A1  - Osorio, Ana
A1  - Park, Sue Kyung
A1  - Paulsson-Karlsson, Ylva
A1  - Pedersen, Inge Sokilde
A1  - Peissel, Bernard
A1  - Peterlongo, Paolo
A1  - Pfeiler, Georg
A1  - Phelan, Catherine M.
A1  - Piedmonte, Marion
A1  - Poppe, Bruce
A1  - Pujana, Miquel Angel
A1  - Radice, Paolo
A1  - Rennert, Gad
A1  - Rodriguez, Gustavo C.
A1  - Rookus, Matti A.
A1  - Ross, Eric A.
A1  - Schmutzler, Rita Katharina
A1  - Simard, Jacques
A1  - Singer, Christian F.
A1  - Slavin, Thomas P.
A1  - Soucy, Penny
A1  - Southey, Melissa
A1  - Steinemann, Doris
A1  - Stoppa-Lyonnet, Dominique
A1  - Sukiennicki, Grzegorz
A1  - Sutter, Christian
A1  - Szabo, Csilla I.
A1  - Tea, Muy-Kheng
A1  - Teixeira, Manuel R.
A1  - Teo, Soo-Hwang
A1  - Terry, Mary Beth
A1  - Thomassen, Mads
A1  - Tibiletti, Maria Grazia
A1  - Tihomirova, Laima
A1  - Tognazzo, Silvia
A1  - van Rensburg, Elizabeth J.
A1  - Varesco, Liliana
A1  - Varon-Mateeva, Raymonda
A1  - Vratimos, Athanassios
A1  - Weitzel, Jeffrey N.
A1  - McGuffog, Lesley
A1  - Kirk, Judy
A1  - Toland, Amanda Ewart
A1  - Hamann, Ute
A1  - Lindor, Noralane
A1  - Ramus, Susan J.
A1  - Greene, Mark H.
A1  - Couch, Fergus J.
A1  - Offit, Kenneth
A1  - Pharoah, Paul D. P.
A1  - Chenevix-Trench, Georgia
A1  - Antoniou, Antonis C.
T1  - Fine-Scale Mapping at 9p22.2 Identifies Candidate Causal Variants That Modify Ovarian Cancer Risk in BRCA1 and BRCA2 Mutation Carriers
JF  - PLoS ONE
N2  - Population-based genome wide association studies have identified a locus at 9p22.2 associated with ovarian cancer risk, which also modifies ovarian cancer risk in BRCA1 and BRCA2 mutation carriers. We conducted fine-scale mapping at 9p22.2 to identify potential causal variants in BRCA1 and BRCA2 mutation carriers. Genotype data were available for 15,252 (2,462 ovarian cancer cases) BRCA1 and 8,211 (631 ovarian cancer cases) BRCA2 mutation carriers. Following genotype imputation, ovarian cancer associations were assessed for 4,873 and 5,020 SNPs in BRCA1 and BRCA 2 mutation carriers respectively, within a retrospective cohort analytical framework. In BRCA1 mutation carriers one set of eight correlated candidate causal variants for ovarian cancer risk modification was identified (top SNP rs10124837, HR: 0.73, 95%CI: 0.68 to 0.79, p-value 2× 10−16). These variants were located up to 20 kb upstream of BNC2. In BRCA2 mutation carriers one region, up to 45 kb upstream of BNC2, and containing 100 correlated SNPs was identified as candidate causal (top SNP rs62543585, HR: 0.69, 95%CI: 0.59 to 0.80, p-value 1.0 × 10−6). The candidate causal in BRCA1 mutation carriers did not include the strongest associated variant at this locus in the general population. In sum, we identified a set of candidate causal variants in a region that encompasses the BNC2 transcription start site. The ovarian cancer association at 9p22.2 may be mediated by different variants in BRCA1 mutation carriers and in the general population. Thus, potentially different mechanisms may underlie ovarian cancer risk for mutation carriers and the general population.
KW  - fine-scale mapping
KW  - ovarian cancer
KW  - genetics
KW  - BRCA1
KW  - BRCA2
Y1  - 2016
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-166869
VL  - 11
IS  - 7
ER  - 
TY  - JOUR
A1  - Hoppe, K.
A1  - Khan, E.
A1  - Meybohm, P.
A1  - Riese, T.
T1  - Mechanical power of ventilation and driving pressure: two undervalued parameters for pre extracorporeal membrane oxygenation ventilation and during daily management?
JF  - Critical Care
N2  - The current ARDS guidelines highly recommend lung protective ventilation which include plateau pressure (Pplat < 30 cm H\(_2\)O), positive end expiratory pressure (PEEP > 5 cm H2O) and tidal volume (Vt of 6 ml/kg) of predicted body weight. In contrast, the ELSO guidelines suggest the evaluation of an indication of veno-venous extracorporeal membrane oxygenation (ECMO) due to hypoxemic or hypercapnic respiratory failure or as bridge to lung transplantation. Finally, these recommendations remain a wide range of scope of interpretation. However, particularly patients with moderate-severe to severe ARDS might benefit from strict adherence to lung protective ventilation strategies. Subsequently, we discuss whether extended physiological ventilation parameter analysis might be relevant for indication of ECMO support and can be implemented during the daily routine evaluation of ARDS patients. Particularly, this viewpoint focus on driving pressure and mechanical power.
KW  - ARDS
KW  - ventilation
KW  - ECMO indication
KW  - mechanical power
KW  - driving pressure
Y1  - 2023
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-357181
VL  - 27
ER  -