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  - Bousquet, Jean
A1  - Anto, Josep M.
A1  - Bachert, Claus
A1  - Haahtela, Tari
A1  - Zuberbier, Torsten
A1  - Czarlewski, Wienczyslawa
A1  - Bedbrook, Anna
A1  - Bosnic‐Anticevich, Sinthia
A1  - Walter Canonica, G.
A1  - Cardona, Victoria
A1  - Costa, Elisio
A1  - Cruz, Alvaro A.
A1  - Erhola, Marina
A1  - Fokkens, Wytske J.
A1  - Fonseca, Joao A.
A1  - Illario, Maddalena
A1  - Ivancevich, Juan‐Carlos
A1  - Jutel, Marek
A1  - Klimek, Ludger
A1  - Kuna, Piotr
A1  - Kvedariene, Violeta
A1  - Le, LTT
A1  - Larenas‐Linnemann, Désirée E.
A1  - Laune, Daniel
A1  - Lourenço, Olga M.
A1  - Melén, Erik
A1  - Mullol, Joaquim
A1  - Niedoszytko, Marek
A1  - Odemyr, Mikaëla
A1  - Okamoto, Yoshitaka
A1  - Papadopoulos, Nikos G.
A1  - Patella, Vincenzo
A1  - Pfaar, Oliver
A1  - Pham‐Thi, Nhân
A1  - Rolland, Christine
A1  - Samolinski, Boleslaw
A1  - Sheikh, Aziz
A1  - Sofiev, Mikhail
A1  - Suppli Ulrik, Charlotte
A1  - Todo‐Bom, Ana
A1  - Tomazic, Peter‐Valentin
A1  - Toppila‐Salmi, Sanna
A1  - Tsiligianni, Ioanna
A1  - Valiulis, Arunas
A1  - Valovirta, Erkka
A1  - Ventura, Maria‐Teresa
A1  - Walker, Samantha
A1  - Williams, Sian
A1  - Yorgancioglu, Arzu
A1  - Agache, Ioana
A1  - Akdis, Cezmi A.
A1  - Almeida, Rute
A1  - Ansotegui, Ignacio J.
A1  - Annesi‐Maesano, Isabella
A1  - Arnavielhe, Sylvie
A1  - Basagaña, Xavier
A1  - D. Bateman, Eric
A1  - Bédard, Annabelle
A1  - Bedolla‐Barajas, Martin
A1  - Becker, Sven
A1  - Bennoor, Kazi S.
A1  - Benveniste, Samuel
A1  - Bergmann, Karl C.
A1  - Bewick, Michael
A1  - Bialek, Slawomir
A1  - E. Billo, Nils
A1  - Bindslev‐Jensen, Carsten
A1  - Bjermer, Leif
A1  - Blain, Hubert
A1  - Bonini, Matteo
A1  - Bonniaud, Philippe
A1  - Bosse, Isabelle
A1  - Bouchard, Jacques
A1  - Boulet, Louis‐Philippe
A1  - Bourret, Rodolphe
A1  - Boussery, Koen
A1  - Braido, Fluvio
A1  - Briedis, Vitalis
A1  - Briggs, Andrew
A1  - Brightling, Christopher E.
A1  - Brozek, Jan
A1  - Brusselle, Guy
A1  - Brussino, Luisa
A1  - Buhl, Roland
A1  - Buonaiuto, Roland
A1  - Calderon, Moises A.
A1  - Camargos, Paulo
A1  - Camuzat, Thierry
A1  - Caraballo, Luis
A1  - Carriazo, Ana‐Maria
A1  - Carr, Warner
A1  - Cartier, Christine
A1  - Casale, Thomas
A1  - Cecchi, Lorenzo
A1  - Cepeda Sarabia, Alfonso M.
A1  - H. Chavannes, Niels
A1  - Chkhartishvili, Ekaterine
A1  - Chu, Derek K.
A1  - Cingi, Cemal
A1  - Correia de Sousa, Jaime
A1  - Costa, David J.
A1  - Courbis, Anne‐Lise
A1  - Custovic, Adnan
A1  - Cvetkosvki, Biljana
A1  - D'Amato, Gennaro
A1  - da Silva, Jane
A1  - Dantas, Carina
A1  - Dokic, Dejan
A1  - Dauvilliers, Yves
A1  - De Feo, Giulia
A1  - De Vries, Govert
A1  - Devillier, Philippe
A1  - Di Capua, Stefania
A1  - Dray, Gerard
A1  - Dubakiene, Ruta
A1  - Durham, Stephen R.
A1  - Dykewicz, Mark
A1  - Ebisawa, Motohiro
A1  - Gaga, Mina
A1  - El‐Gamal, Yehia
A1  - Heffler, Enrico
A1  - Emuzyte, Regina
A1  - Farrell, John
A1  - Fauquert, Jean‐Luc
A1  - Fiocchi, Alessandro
A1  - Fink‐Wagner, Antje
A1  - Fontaine, Jean‐François
A1  - Fuentes Perez, José M.
A1  - Gemicioğlu, Bilun
A1  - Gamkrelidze, Amiran
A1  - Garcia‐Aymerich, Judith
A1  - Gevaert, Philippe
A1  - Gomez, René Maximiliano
A1  - González Diaz, Sandra
A1  - Gotua, Maia
A1  - Guldemond, Nick A.
A1  - Guzmán, Maria‐Antonieta
A1  - Hajjam, Jawad
A1  - Huerta Villalobos, Yunuen R.
A1  - Humbert, Marc
A1  - Iaccarino, Guido
A1  - Ierodiakonou, Despo
A1  - Iinuma, Tomohisa
A1  - Jassem, Ewa
A1  - Joos, Guy
A1  - Jung, Ki‐Suck
A1  - Kaidashev, Igor
A1  - Kalayci, Omer
A1  - Kardas, Przemyslaw
A1  - Keil, Thomas
A1  - Khaitov, Musa
A1  - Khaltaev, Nikolai
A1  - Kleine‐Tebbe, Jorg
A1  - Kouznetsov, Rostislav
A1  - Kowalski, Marek L.
A1  - Kritikos, Vicky
A1  - Kull, Inger
A1  - La Grutta, Stefania
A1  - Leonardini, Lisa
A1  - Ljungberg, Henrik
A1  - Lieberman, Philip
A1  - Lipworth, Brian
A1  - Lodrup Carlsen, Karin C.
A1  - Lopes‐Pereira, Catarina
A1  - Loureiro, Claudia C.
A1  - Louis, Renaud
A1  - Mair, Alpana
A1  - Mahboub, Bassam
A1  - Makris, Michaël
A1  - Malva, Joao
A1  - Manning, Patrick
A1  - Marshall, Gailen D.
A1  - Masjedi, Mohamed R.
A1  - Maspero, Jorge F.
A1  - Carreiro‐Martins, Pedro
A1  - Makela, Mika
A1  - Mathieu‐Dupas, Eve
A1  - Maurer, Marcus
A1  - De Manuel Keenoy, Esteban
A1  - Melo‐Gomes, Elisabete
A1  - Meltzer, Eli O.
A1  - Menditto, Enrica
A1  - Mercier, Jacques
A1  - Micheli, Yann
A1  - Miculinic, Neven
A1  - Mihaltan, Florin
A1  - Milenkovic, Branislava
A1  - Mitsias, Dimitirios I.
A1  - Moda, Giuliana
A1  - Mogica‐Martinez, Maria‐Dolores
A1  - Mohammad, Yousser
A1  - Montefort, Steve
A1  - Monti, Ricardo
A1  - Morais‐Almeida, Mario
A1  - Mösges, Ralph
A1  - Münter, Lars
A1  - Muraro, Antonella
A1  - Murray, Ruth
A1  - Naclerio, Robert
A1  - Napoli, Luigi
A1  - Namazova‐Baranova, Leyla
A1  - Neffen, Hugo
A1  - Nekam, Kristoff
A1  - Neou, Angelo
A1  - Nordlund, Björn
A1  - Novellino, Ettore
A1  - Nyembue, Dieudonné
A1  - O'Hehir, Robyn
A1  - Ohta, Ken
A1  - Okubo, Kimi
A1  - Onorato, Gabrielle L.
A1  - Orlando, Valentina
A1  - Ouedraogo, Solange
A1  - Palamarchuk, Julia
A1  - Pali‐Schöll, Isabella
A1  - Panzner, Peter
A1  - Park, Hae‐Sim
A1  - Passalacqua, Gianni
A1  - Pépin, Jean‐Louis
A1  - Paulino, Ema
A1  - Pawankar, Ruby
A1  - Phillips, Jim
A1  - Picard, Robert
A1  - Pinnock, Hilary
A1  - Plavec, Davor
A1  - Popov, Todor A.
A1  - Portejoie, Fabienne
A1  - Price, David
A1  - Prokopakis, Emmanuel P.
A1  - Psarros, Fotis
A1  - Pugin, Benoit
A1  - Puggioni, Francesca
A1  - Quinones‐Delgado, Pablo
A1  - Raciborski, Filip
A1  - Rajabian‐Söderlund, Rojin
A1  - Regateiro, Frederico S.
A1  - Reitsma, Sietze
A1  - Rivero‐Yeverino, Daniela
A1  - Roberts, Graham
A1  - Roche, Nicolas
A1  - Rodriguez‐Zagal, Erendira
A1  - Rolland, Christine
A1  - Roller‐Wirnsberger, Regina E.
A1  - Rosario, Nelson
A1  - Romano, Antonino
A1  - Rottem, Menachem
A1  - Ryan, Dermot
A1  - Salimäki, Johanna
A1  - Sanchez‐Borges, Mario M.
A1  - Sastre, Joaquin
A1  - Scadding, Glenis K.
A1  - Scheire, Sophie
A1  - Schmid‐Grendelmeier, Peter
A1  - Schünemann, Holger J.
A1  - Sarquis Serpa, Faradiba
A1  - Shamji, Mohamed
A1  - Sisul, Juan‐Carlos
A1  - Sofiev, Mikhail
A1  - Solé, Dirceu
A1  - Somekh, David
A1  - Sooronbaev, Talant
A1  - Sova, Milan
A1  - Spertini, François
A1  - Spranger, Otto
A1  - Stellato, Cristiana
A1  - Stelmach, Rafael
A1  - Thibaudon, Michel
A1  - To, Teresa
A1  - Toumi, Mondher
A1  - Usmani, Omar
A1  - Valero, Antonio A.
A1  - Valenta, Rudolph
A1  - Valentin‐Rostan, Marylin
A1  - Pereira, Marilyn Urrutia
A1  - van der Kleij, Rianne
A1  - Van Eerd, Michiel
A1  - Vandenplas, Olivier
A1  - Vasankari, Tuula
A1  - Vaz Carneiro, Antonio
A1  - Vezzani, Giorgio
A1  - Viart, Frédéric
A1  - Viegi, Giovanni
A1  - Wallace, Dana
A1  - Wagenmann, Martin
A1  - Wang, De Yun
A1  - Waserman, Susan
A1  - Wickman, Magnus
A1  - Williams, Dennis M.
A1  - Wong, Gary
A1  - Wroczynski, Piotr
A1  - Yiallouros, Panayiotis K.
A1  - Yusuf, Osman M.
A1  - Zar, Heather J.
A1  - Zeng, Stéphane
A1  - Zernotti, Mario E.
A1  - Zhang, Luo
A1  - Shan Zhong, Nan
A1  - Zidarn, Mihaela
T1  - ARIA digital anamorphosis: Digital transformation of health and care in airway diseases from research to practice
JF  - Allergy
N2  - Digital anamorphosis is used to define a distorted image of health and care that may be viewed correctly using digital tools and strategies. MASK digital anamorphosis represents the process used by MASK to develop the digital transformation of health and care in rhinitis. It strengthens the ARIA change management strategy in the prevention and management of airway disease. The MASK strategy is based on validated digital tools. Using the MASK digital tool and the CARAT online enhanced clinical framework, solutions for practical steps of digital enhancement of care are proposed.
KW  - ARIA
KW  - asthma
KW  - CARAT
KW  - digital transformation of health and care
KW  - MASK
KW  - rhinitis
Y1  - 2021
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-228339
VL  - 76
IS  - 1
SP  - 168
EP  - 190
ER  - 
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  - Zhou, Xiang
A1  - Dierks, Alexander
A1  - Kertels, Olivia
A1  - Kircher, Malte
A1  - Schirbel, Andreas
A1  - Samnick, Samuel
A1  - Buck, Andreas K.
A1  - Knorz, Sebastian
A1  - Böckle, David
A1  - Scheller, Lukas
A1  - Messerschmidt, Janin
A1  - Barakat, Mohammad
A1  - Kortüm, K. Martin
A1  - Rasche, Leo
A1  - Einsele, Hermann
A1  - Lapa, Constantin
T1  - 18F-FDG, 11C-Methionine, and 68Ga-Pentixafor PET/CT in patients with smoldering multiple myeloma: imaging pattern and clinical features
JF  - Cancers
N2  - This study aimed to explore the correlation between imaging patterns and clinical features in patients with smoldering multiple myeloma (SMM) who simultaneously underwent 18F-FDG, 11C-Methionine, and 68Ga-Pentixafor positron emission tomography/computed tomography (PET/CT). We retrieved and analyzed clinical characteristics and PET imaging data of 10 patients with SMM. We found a significant correlation between bone marrow (BM) plasma cell (PC) infiltration and mean standardized uptake values (SUV\(_{mean}\)) of lumbar vertebrae L2-L4 on 11C-Methionine PET/CT scans (r = 0.676, p = 0.031) and 68Ga-Pentixafor PET/CT scans (r = 0.839, p = 0.002). However, there was no significant correlation between BM involvement and SUV\(_{mean}\) of lumbar vertebrae L2-L4 on 18F-FDG PET/CT scans (r = 0.558, p = 0.093). Similarly, mean target-to-background ratios (TBR\(_{mean}\)) of lumbar vertebrae L2-L4 also correlated with bone marrow plasma cell (BMPC) infiltration in 11C-Methionine PET/CT (r = 0.789, p = 0.007) and 68Ga-Pentixafor PET/CT (r = 0.724, p = 0.018) PET/CT. In contrast, we did not observe a significant correlation between BMPC infiltration rate and TBR\(_{mean}\) in 18F-FDG PET/CT (r = 0.355, p = 0.313). Additionally, on 11C-Methionine PET/CT scans, we found a significant correlation between BMPC infiltration and TBR\(_{max}\) of lumbar vertebrae L2-L4 (r = 0.642, p = 0.045). In conclusion, 11C-Methionine and 68Ga-Pentixafor PET/CT demonstrate higher sensitivity than 18F-FDG PET/CT in detecting BM involvement in SMM.
KW  - 18F-FDG PET/CT
KW  - 11C-Methionine PET/CT
KW  - 68Ga-Pentixafor PET/CT
KW  - smoldering myeloma
Y1  - 2020
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-211240
SN  - 2072-6694
VL  - 12
IS  - 8
ER  - 
TY  - JOUR
A1  - Weisschuh, Nicole
A1  - Mayer, Anja K.
A1  - Strom, Tim M.
A1  - Kohl, Susanne
A1  - Glöckle, Nicola
A1  - Schubach, Max
A1  - Andreasson, Sten
A1  - Bernd, Antje
A1  - Birch, David G.
A1  - Hamel, Christian P.
A1  - Heckenlively, John R.
A1  - Jacobson, Samuel G.
A1  - Kamme, Christina
A1  - Kellner, Ulrich
A1  - Kunstmann, Erdmute
A1  - Maffei, Pietro
A1  - Reiff, Charlotte M.
A1  - Rohrschneider, Klaus
A1  - Rosenberg, Thomas
A1  - Rudolph, Günther
A1  - Vámos, Rita
A1  - Varsányi, Balázs
A1  - Weleber, Richard G.
A1  - Wissinger, Bernd
T1  - Mutation Detection in Patients with Retinal Dystrophies Using Targeted Next Generation Sequencing
JF  - PLoS ONE
N2  - Retinal dystrophies (RD) constitute a group of blinding diseases that are characterized by clinical variability and pronounced genetic heterogeneity. The different nonsyndromic and syndromic forms of RD can be attributed to mutations in more than 200 genes. Consequently, next generation sequencing (NGS) technologies are among the most promising approaches to identify mutations in RD. We screened a large cohort of patients comprising 89 independent cases and families with various subforms of RD applying different NGS platforms. While mutation screening in 50 cases was performed using a RD gene capture panel, 47 cases were analyzed using whole exome sequencing. One family was analyzed using whole genome sequencing. A detection rate of 61% was achieved including mutations in 34 known and two novel RD genes. A total of 69 distinct mutations were identified, including 39 novel mutations. Notably, genetic findings in several families were not consistent with the initial clinical diagnosis. Clinical reassessment resulted in refinement of the clinical diagnosis in some of these families and confirmed the broad clinical spectrum associated with mutations in RD genes.
KW  - mutation detection
KW  - retinal dystrophies
KW  - next generation sequencing
Y1  - 2016
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-167398
VL  - 11
IS  - 1
ER  - 
TY  - JOUR
A1  - Zhou, Xiang
A1  - Dierks, Alexander
A1  - Kertels, Olivia
A1  - Samnick, Samuel
A1  - Kircher, Malte
A1  - Buck, Andreas K.
A1  - Haertle, Larissa
A1  - Knorz, Sebastian
A1  - Böckle, David
A1  - Scheller, Lukas
A1  - Messerschmidt, Janin
A1  - Barakat, Mohammad
A1  - Truger, Marietta
A1  - Haferlach, Claudia
A1  - Einsele, Hermann
A1  - Rasche, Leo
A1  - Kortüm, K. Martin
A1  - Lapa, Constantin
T1  - The link between cytogenetics/genomics and imaging patterns of relapse and progression in patients with relapsed/refractory multiple myeloma: a pilot study utilizing 18F-FDG PET/CT
JF  - Cancers
N2  - Utilizing 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET)/computed tomography (CT), we performed this pilot study to evaluate the link between cytogenetic/genomic markers and imaging patterns in relapsed/refractory (RR) multiple myeloma (MM). We retrospectively analyzed data of 24 patients with RRMM who were treated at our institution between November 2018 and February 2020. At the last relapse/progression, patients had been treated with a median of three (range 1–10) lines of therapy. Six (25%) patients showed FDG avid extramedullary disease without adjacency to bone. We observed significantly higher maximum standardized uptake values (SUV\(_{max}\)) in patients harboring del(17p) compared with those without del(17p) (p = 0.025). Moreover, a high SUV\(_{max}\) of >15 indicated significantly shortened progression-free survival (PFS) (p = 0.01) and overall survival (OS) (p = 0.0002). One female patient exhibited biallelic TP53 alteration, i.e., deletion and mutation, in whom an extremely high SUV\(_{max}\) of 37.88 was observed. In summary, this pilot study suggested a link between del(17p)/TP53 alteration and high SUV\(_{max}\) on 18F-FDG PET/CT in RRMM patients. Further investigations are highly warranted at this point.
KW  - radiogenomics
KW  - 18F-FDG PET/CT
KW  - multiple myeloma
KW  - relapse
KW  - progression
KW  - pattern
Y1  - 2020
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-211157
SN  - 2072-6694
VL  - 12
IS  - 9
ER  -