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  - Marenholz, Ingo
A1  - Esparza-Gordillo, Jorge
A1  - Rüschendorf, Franz
A1  - Bauerfeind, Anja
A1  - Strachan, David P.
A1  - Spycher, Ben D.
A1  - Baurecht, Hansjörg
A1  - Magaritte-Jeannin, Patricia
A1  - Sääf, Annika
A1  - Kerkhof, Marjan
A1  - Ege, Markus
A1  - Baltic, Svetlana
A1  - Matheson, Melanie C.
A1  - Li, Jin
A1  - Michel, Sven
A1  - Ang, Wei Q.
A1  - McArdle, Wendy
A1  - Arnold, Andreas
A1  - Homuth, Georg
A1  - Demenais, Florence
A1  - Bouzigon, Emmanuelle
A1  - Söderhäll, Cilla
A1  - Pershagen, Göran
A1  - de Jongste, Johan C.
A1  - Postma, Dirkje S.
A1  - Braun-Fahrländer, Charlotte
A1  - Horak, Elisabeth
A1  - Ogorodova, Ludmila M.
A1  - Puzyrev, Valery P.
A1  - Bragina, Elena Yu
A1  - Hudson, Thomas J.
A1  - Morin, Charles
A1  - Duffy, David L.
A1  - Marks, Guy B.
A1  - Robertson, Colin F.
A1  - Montgomery, Grant W.
A1  - Musk, Bill
A1  - Thompson, Philip J.
A1  - Martin, Nicholas G.
A1  - James, Alan
A1  - Sleiman, Patrick
A1  - Toskala, Elina
A1  - Rodriguez, Elke
A1  - Fölster-Holst, Regina
A1  - Franke, Andre
A1  - Lieb, Wolfgang
A1  - Gieger, Christian
A1  - Heinzmann, Andrea
A1  - Rietschel, Ernst
A1  - Keil, Thomas
A1  - Cichon, Sven
A1  - Nöthen, Markus M.
A1  - Pennel, Craig E.
A1  - Sly, Peter D.
A1  - Schmidt, Carsten O.
A1  - Matanovic, Anja
A1  - Schneider, Valentin
A1  - Heinig, Matthias
A1  - Hübner, Norbert
A1  - Holt, Patrick G.
A1  - Lau, Susanne
A1  - Kabesch, Michael
A1  - Weidinger, Stefan
A1  - Hakonarson, Hakon
A1  - Ferreira, Manuel A. R.
A1  - Laprise, Catherine
A1  - Freidin, Maxim B.
A1  - Genuneit, Jon
A1  - Koppelman, Gerard H.
A1  - Melén, Erik
A1  - Dizier, Marie-Hélène
A1  - Henderson, A. John
A1  - Lee, Young Ae
T1  - Meta-analysis identifies seven susceptibility loci involved in the atopic march
JF  - Nature Communications
N2  - Eczema often precedes the development of asthma in a disease course called the 'atopic march'. To unravel the genes underlying this characteristic pattern of allergic disease, we conduct a multi-stage genome-wide association study on infantile eczema followed by childhood asthma in 12 populations including 2,428 cases and 17,034 controls. Here we report two novel loci specific for the combined eczema plus asthma phenotype, which are associated with allergic disease for the first time; rs9357733 located in EFHC1 on chromosome 6p12.3 (OR 1.27; P = 2.1 x 10(-8)) and rs993226 between TMTC2 and SLC6A15 on chromosome 12q21.3 (OR 1.58; P = 5.3 x 10(-9)). Additional susceptibility loci identified at genome-wide significance are FLG (1q21.3), IL4/KIF3A (5q31.1), AP5B1/OVOL1 (11q13.1), C11orf30/LRRC32 (11q13.5) and IKZF3 (17q21). We show that predominantly eczema loci increase the risk for the atopic march. Our findings suggest that eczema may play an important role in the development of asthma after eczema.
KW  - chromosome 11Q13
KW  - risk
KW  - genomewide association
KW  - hay fever
KW  - birth cohort
KW  - filaggrin mutations
KW  - food allergy
KW  - juvenile myoclonic epilepsy
KW  - childhood asthma
KW  - dermatitis
Y1  - 2015
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-139835
VL  - 6
IS  - 8804
ER  - 
TY  - THES
A1  - Martin, Lee C.
T1  - The Kondo Lattice Model: a Dynamical Cluster Approximation Approach
N2  - We apply an antiferromagnetic symmetry breaking implementation of the dynamical cluster approximation (DCA) to investigate the two-dimensional hole-doped Kondo lattice model (KLM) with hopping $t$ and coupling $J$. The DCA is an approximation at the level of the self-energy. Short range correlations on a small cluster, which is self-consistently embedded in the remaining bath electrons of the system, are handled exactly whereas longer ranged spacial correlations are incorporated on a mean-field level. The dynamics of the system, however, are retained in full. The strong temporal nature of correlations in the KLM make the model particularly suitable to investigation with the DCA. Our precise DCA calculations of single particle spectral functions compare well with exact lattice QMC results at the particle-hole symmetric point. However, our DCA version, combined with a QMC cluster solver, also allows simulations away from particle-hole symmetry and has enabled us to map out the magnetic phase diagram of the model as a function of doping and coupling $J/t$. At half-filling, our results show that the linear behaviour of the quasi-particle gap at small values of $J/t$ is a direct consequence of particle-hole symmetry, which leads to nesting of the Fermi surface. Breaking the symmetry, by inclusion of a diagonal hopping term, results in a greatly reduced gap which appears to follow a Kondo scale. Upon doping, the magnetic phase observed at half-filling survives and ultimately gives way to a paramagnetic phase. Across this magnetic order-disorder transition, we track the topology of the Fermi surface. The phase diagram is composed of three distinct regions: Paramagnetic with {\it large} Fermi surface, in which the magnetic moments are included in the Luttinger sum rule, lightly antiferromagnetic with large Fermi surface topology, and strongly antiferromagnetic with {\it small} Fermi surface, where the magnetic moments drop out of the Luttinger volume. We draw on a mean-field Hamiltonian with order parameters for both magnetisation and Kondo screening as a tool for interpretation of our DCA results. Initial results for fixed coupling and doping but varying temperature are also presented, where the aim is look for signals of the energy scales in the system: the Kondo temperature $T_{K}$ for initial Kondo screening of the magnetic moments, the Neel temperature $T_{N}$ for antiferromagnetic ordering, a possible $T^{*}$ at which a reordering of the Fermi surface is observed, and finally, the formation of the coherent heavy fermion state at $T_{coh}$.
N2  - Wir setzen eine Implementierung der dynamischen Cluster Näherung (DCA) mit gebrochener Symmetrie ein um das zweidimensionale lochdotierte Kondo Gitter Model (KLM) mit dem Hüpfmatrixelement $t$ und der Kopplung $J$ zu untersuchen. Die DCA beruht auf einer Näherung der Selbstenergie. Kurzreichweitige Korrelationen auf einem kleinen Cluster, der selbstkonsistent in ein Bad der übrigen Systemelektronen eingebettet ist, werden exakt behandelt, während langreichweitige Korrelationen auf Mean-Field Basis berücksichtigt werden. Dabei wird jedoch die Dynamik des Systems voll beibehalten. Auf Grund starker dynamischer Korrelationen zeigt sich das KLM als besonders geeignet für Untersuchungen im Rahmen der DCA. Präzise Berechnungen der Einteilchen Spektralfunktion geben gute Übereinstimmung mit exakten Gitter-QMC Resultaten am Teilchen-Loch symmetrischen Punkt. Unsere DCA Version, kombiniert mit einem QMC Cluster Solver, erlaubt es, Simulationen fern vom Teilchen-Loch symmetrischen Punkt durchzuführen und hat es uns ermöglicht das magnetische Phasendiagram des Models als Funktion der Dotierung und der Kopplung $J/t$ abzutasten. Bei halber Füllung zeigen unsere Resultate, dass das lineare Verhalten der Quasiteilchenlücke bei kleinem $J/t$ direkt aus der vorliegenden Teilchen-Loch Symmetrie, die ihrerseits zu Nesting führt, hervorgeht. Brechung dieser Symmetrie durch das Einführen eines diagonalen Hüpfmatrixelements, hat eine an die Kondo Skala gekoppelte, stark reduzierte Quasiteilchenlücke zur Folge. Im dotiertem System setzt sich die bei Halbfüllung beobachtete magnetische Phase fort bis sie letztendlich der paramagnetischen Phase weicht. Wir verfolgen die Entwicklung der Topologie der Fermifläche beim Durchstoßen dieses magnetischen Übergangs vom Ordnungs- zum Unordnungregime. Das Phasendiagram unterteilt sich in drei verschiedenen Regionen: Den Paramagnetischen Bereich mit {\it großer} Fermifläche, in dem die magnetische Momente zum Luttinger Volumen beitragen, den schwachen Antiferromagneten, mit großer Fermiflächetopologie, und den starken Antiferromagneten mit {\it kleiner} Fermifläche, bei dem die magnetischen Momente nicht am Luttinger Volumen beteiligt sind. Wir beziehen uns zur weiteren Interpretation unserer DCA Resultate auf einen Mean-Field Hamiltonian mit Ordnungsparametern sowohl für die Magnetisierung als auch für die Kondo-Abschirmung. Erste Resultate bei fester Kopplung und Dotierung, jedoch bei unterschiedlichen Temperaturen, zwecks der Ermittlung der verschiedene Energieskalen des Systems, werden dargestellt. Wir suchen Signale der Kondo Temperatur $T_{K}$ bei der die Kondo-Abschirmung der magnetische Momente einsetzt, der Neel Temperatur $T_{N}$ der antiferromagnetischem Ordnung, das eventuelle Auftreten einer durch $T^{*}$ gekennzeichnete Änderung der Fermiflächen Topologie, und letztendlich die Ausbildung eines kohärenten schwerfermionischen Zustandes bei $T_{coh}$.
KW  - Gittermodell
KW  - Kondo-Modell
KW  - dynamische Cluster
KW  - Kondo Lattice Model
KW  - dynamical cluster approximation
Y1  - 2010
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-49446
ER  - 
TY  - JOUR
A1  - Thorn, Simon
A1  - Chao, Anne
A1  - Georgiev, Konstadin B.
A1  - Müller, Jörg
A1  - Bässler, Claus
A1  - Campbell, John L.
A1  - Jorge, Castro
A1  - Chen, Yan-Han
A1  - Choi, Chang-Yong
A1  - Cobb, Tyler P.
A1  - Donato, Daniel C.
A1  - Durska, Ewa
A1  - Macdonald, Ellen
A1  - Feldhaar, Heike
A1  - Fontaine, Jospeh B.
A1  - Fornwalt, Paula J.
A1  - Hernández Hernández, Raquel María
A1  - Hutto, Richard L.
A1  - Koivula, Matti
A1  - Lee, Eun-Jae
A1  - Lindenmayer, David
A1  - Mikusinski, Grzegorz
A1  - Obrist, Martin K.
A1  - Perlík, Michal
A1  - Rost, Josep
A1  - Waldron, Kaysandra
A1  - Wermelinger, Beat
A1  - Weiß, Ingmar
A1  - Zmihorski, Michal
A1  - Leverkus, Alexandro B.
T1  - Estimating retention benchmarks for salvage logging to protect biodiversity
JF  - Nature Communications
N2  - Forests are increasingly affected by natural disturbances. Subsequent salvage logging, a widespread management practice conducted predominantly to recover economic capital, produces further disturbance and impacts biodiversity worldwide. Hence, naturally disturbed forests are among the most threatened habitats in the world, with consequences for their associated biodiversity. However, there are no evidence-based benchmarks for the proportion of area of naturally disturbed forests to be excluded from salvage logging to conserve biodiversity. We apply a mixed rarefaction/extrapolation approach to a global multi-taxa dataset from disturbed forests, including birds, plants, insects and fungi, to close this gap. We find that 757% (mean +/- SD) of a naturally disturbed area of a forest needs to be left unlogged to maintain 90% richness of its unique species, whereas retaining 50% of a naturally disturbed forest unlogged maintains 73 +/- 12% of its unique species richness. These values do not change with the time elapsed since disturbance but vary considerably among taxonomic groups. Salvage logging has become a common practice to gain economic returns from naturally disturbed forests, but it could have considerable negative effects on biodiversity. Here the authors use a recently developed statistical method to estimate that ca. 75% of the naturally disturbed forest should be left unlogged to maintain 90% of the species unique to the area.
KW  - natural disturbance
KW  - bird communities
KW  - forest
KW  - management
KW  - beetle
KW  - conservation
KW  - windthrow
KW  - diversity
KW  - impact
KW  - fire
Y1  - 2020
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-230512
VL  - 11
ER  - 
TY  - JOUR
A1  - Rayner, Christopher
A1  - Coleman, Jonathan R. I.
A1  - Purves, Kirstin L.
A1  - Hodsoll, John
A1  - Goldsmith, Kimberley
A1  - Alpers, Georg W.
A1  - Andersson, Evelyn
A1  - Arolt, Volker
A1  - Boberg, Julia
A1  - Bögels, Susan
A1  - Creswell, Cathy
A1  - Cooper, Peter
A1  - Curtis, Charles
A1  - Deckert, Jürgen
A1  - Domschke, Katharina
A1  - El Alaoui, Samir
A1  - Fehm, Lydia
A1  - Fydrich, Thomas
A1  - Gerlach, Alexander L.
A1  - Grocholewski, Anja
A1  - Hahlweg, Kurt
A1  - Hamm, Alfons
A1  - Hedman, Erik
A1  - Heiervang, Einar R.
A1  - Hudson, Jennifer L.
A1  - Jöhren, Peter
A1  - Keers, Robert
A1  - Kircher, Tilo
A1  - Lang, Thomas
A1  - Lavebratt, Catharina
A1  - Lee, Sang-hyuck
A1  - Lester, Kathryn J.
A1  - Lindefors, Nils
A1  - Margraf, Jürgen
A1  - Nauta, Maaike
A1  - Pané-Farré, Christiane A.
A1  - Pauli, Paul
A1  - Rapee, Ronald M.
A1  - Reif, Andreas
A1  - Rief, Winfried
A1  - Roberts, Susanna
A1  - Schalling, Martin
A1  - Schneider, Silvia
A1  - Silverman, Wendy K.
A1  - Ströhle, Andreas
A1  - Teismann, Tobias
A1  - Thastum, Mikael
A1  - Wannemüller, Andre
A1  - Weber, Heike
A1  - Wittchen, Hans-Ulrich
A1  - Wolf, Christiane
A1  - Rück, Christian
A1  - Breen, Gerome
A1  - Eley, Thalia C.
T1  - A genome-wide association meta-analysis of prognostic outcomes following cognitive behavioural therapy in individuals with anxiety and depressive disorders
JF  - Translational Psychiatry
N2  - Major depressive disorder and the anxiety disorders are highly prevalent, disabling and moderately heritable. Depression and anxiety are also highly comorbid and have a strong genetic correlation (r(g) approximate to 1). Cognitive behavioural therapy is a leading evidence-based treatment but has variable outcomes. Currently, there are no strong predictors of outcome. Therapygenetics research aims to identify genetic predictors of prognosis following therapy. We performed genome-wide association meta-analyses of symptoms following cognitive behavioural therapy in adults with anxiety disorders (n = 972), adults with major depressive disorder (n = 832) and children with anxiety disorders (n = 920; meta-analysis n = 2724). We (h(SNP)(2)) and polygenic scoring was used to examine genetic associations between therapy outcomes and psychopathology, personality and estimated the variance in therapy outcomes that could be explained by common genetic variants learning. No single nucleotide polymorphisms were strongly associated with treatment outcomes. No significant estimate of h(SNP)(2) could be obtained, suggesting the heritability of therapy outcome is smaller than our analysis was powered to detect. Polygenic scoring failed to detect genetic overlap between therapy outcome and psychopathology, personality or learning. This study is the largest therapygenetics study to date. Results are consistent with previous, similarly powered genome-wide association studies of complex traits.
KW  - Human behaviour
KW  - Personalized medicine
KW  - Prognostic markers
KW  - Psychiatric disorders
Y1  - 2019
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-225048
VL  - 9
IS  - 150
ER  -